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SELF ASSESSMENT REPORT (SAR) Of M.Tech. (ELECTRICAL ENGINEERING) Power Electronics and Drives Submitted by DEPARTMENT OF ELECTRICAL ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA To NBCC Place, 4th Floor East Tower, BhishamPitamah Marg, Pragati Vihar New Delhi 110003 P: +91(11)24360620-22, 24360654 Fax: +91(11) 24360682 E-mail: [email protected] Website: www.nbaind.org (January 2021) Latest Updated Version
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SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

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Page 1: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

SELF ASSESSMENT REPORT (SAR)

Of

M.Tech. (ELECTRICAL ENGINEERING)

Power Electronics and Drives

Submitted by

DEPARTMENT OF ELECTRICAL ENGINEERING

NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA

To

NBCC Place, 4th Floor East Tower, BhishamPitamah Marg,

Pragati Vihar New Delhi 110003

P: +91(11)24360620-22, 24360654

Fax: +91(11) 24360682

E-mail: [email protected]

Website: www.nbaind.org

(January 2021)

Latest Updated Version

Page 2: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Pre-visit Qualifiers for becoming eligible for Accreditation

1. Tier – II Engineering: The relevant Under Graduate program should have scored

minimum 650 marks out of 1000marks.

2. Tier – I Engineering: The relevant Under Graduate program should have scored

minimum four Compliances(Y).

3. The above conditions will not be applicable to the Post Graduate Program that

do not have corresponding Under Graduate Program.

4. The department shall have at least two faculties with Ph. D. qualification during

the previous two year including the current academic year.

5. Program shall have at-least two Professors or one professor and one associate

professor with Ph.D. qualification (on full time basis) having expertise in the

domain of the Post Graduate Program during the previous two academic years

including the current academic year.

6. Department shall have 1:25 Faculty Student Ratio during the previous three

years including the current academic year.

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SAR Contents

Section Item Page No.

PART A Institutional Information 1

PART B Departmental Information 9

Criteria Summary

1 Program Curriculum and Teaching – Learning Processes 14

2 Program Outcomes 29

3 Students’ Performance 43

4 Faculty Contributions 53

5 Laboratories and Research Facilities 60

6 Continuous Improvement 71

Annexure-I Program Outcomes(POs) 78

Annexure-II Faculty Details 79

PART C Declaration by the Institution 144

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PART A: Institutional Information

1. Name and Address of NATIONAL INSTITUTE OF TECHNOLOGY

the Institution: KURUKSHETRA-136119 (HARYANA)

2. Name and Address of the: NA

Affiliating University, if applicable

3. Year of establishment of the Institution: 1963

4. Type of the Institution:

Institute of National Importance √

University

Deemed University

Autonomous

Affiliated Institution

Any other (Please specify)

Note:

1. In case of Autonomous and Deemed University, mention the year of grant of status by the

authority

2. In case of University Constituent Institution please indicate the academic autonomy status of

the Institution as defined in 12th Plan guidelines of UGC. Institute should apply for Tier 1

only when fully academically autonomous.

5. Ownership Status:

Central Government √

State Government

Government Aided

Self-financing

Trust

Society

Section 25 Company

Any other (Please Specify)

Provide Details: Declared as Institute of National Importance by NIT Act of

2007 (No. 29 of 2007).

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6. Vision of the Institution:

To be a role-model in technical education and research, responsive to global

challenges.

7. Mission of the Institution:

To impart quality technical education that develops innovative professionals

and entrepreneurs.

To undertake research that generates cutting-edge technologies and futuristic

knowledge, focusing on the socio-economic needs.

8. Details of all the programs offered by the institution:

I. U.G. Programs

S.

No

.

Progra

m

Name

Name

of the

Depart

ment

Year

of

Start

Intake

Increas

e in

intake

Year

of

Increa

se /Decrease

AICTE

Appro

val

Accredit

ation

Status*

1. B.Tech., Civil

Engg.

Civil Engg.

1963 40 25 25

11 18

20 01

06 18

31

1966 2005

2008 2009

2010 2013

2018 2019

2020

NA Granted accreditati

on for 6 years for

the period (2017-23)

2. B.Tech., Mechanic

al Engg.

Mechanical Engg.

1963 40 40 08

02 11

19 19

-01

18 20

33

1966 1988

2005 2008

2009 2010

2013 2018

2019 2020

NA Granted accreditati

on for 6 years for

the period (2017-23)

3. B.Tech Electrical

Engg.

Electrical Engg.

1963 40 35 15

11 18

20 01

01 13

1966 2005

2008 2009

2010 2013

2018 2019

NA Granted accreditati

on for 6 years for

the period (2017-23)

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Page 3 of 147

29 2020

4. B.Tech.

Electronics &

Communication

Engg.

Electronic

s & Comm.

Engg.

1971 30 30

06 24

11 19

19

-01

18 29

1987

1988 2005

2008 2009

2010

2013 2019

2020

NA Granted

accreditation for 6

years for the period

(2017-23)

5. B.Tech. Compute

r Engg.

Computer

Engg.

1987 30 03 27

07 13

12 01

08

19

1988 2005

2008 2009

2010 2018

2019

2020

NA Granted accreditati

on for 6 years for

the period (2017-23)

6. B.Tech.

Information

Technology

Computer

Engg.

2005 60 07

13 12

02 14

21

2008

2009 2010

2018 2019

2020

NA Granted

accreditation for 6

years for the period

(2017-23)

7. B.Tech. Productio

n & Industrial

Engg.

Mechanical Engg.

2013 92 02 12

20

2018 2019

2020

NA Eligible but not

applied

II. P.G. Programs

S.

No.

Program

Name

Name

of the

Depart

ment

Year

of

Start

Intake #

Increase

in intake

Year of

Increase /Decrease

AICTE

Approval

Accreditati

on Status*

1. M.Tech. Civil Engg. (Environm

ental Engg.)

Civil Engg.

2006 13 01

03

03

01

2008

2009 2010

2015

2019 2020

NA Applying first time

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Page 4 of 147

0

5 --

2. M.Tech.

Civil Engg. (Geotech

nical Engg.

w.e.f. the session 2020-

21)Earlier

M.Tech. Civil Engg. (

Soil Mechanic

s & Foundation Engg.)

Civil

Engg.

1966 10 0

2

0

1 03

02 0

5 --

2008

2009 2010

2015 2019 2020

NA Applying

first time

3. M.Tech.

Civil Engg. (Structural

Engg.)

Civil

Engg.

1966 10 0

2

01 0

3

03

05

--

2008

2009

2010

2015 2019

2020

NA Applying

first time

4. M.Tech.

Civil Engg. (Transportation

Engg.)

Civil

Engg.

2006 10 04

03

01

05

--

2008 2009

2013

2019

2020

NA Applying

first time

5. M.Tech.

Civil Engg. (Water

Resources Engg.)

Civil

Engg.

1989 10 0

2

01

03

0

2008

2009 2010

2015

2019

2020

NA Applying

first time

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1

04

--

6. M.Tech.

Computer Engg.

Comput

er Engg.

2009 20 0

5 06

--

2015

2019 2020

NA Applying

first time

7. M.Tech.

Computer Engg.

(Cyber Security)

Comput

er Engg.

2015 20 0

5 --

2019

2020

NA Applying

first time

8. M.Tech. Electrical Engg.

(Control System)

Electrical Engg.

1966 10 02

01

03 0

4

05

--

2008 2009

2010 2015

2019

2020

NA Applying first time

9. M.Tech.

Electrical Engg. (Power

System)

Electrica

l Engg.

1966 10 0

2 0

1

03

04

05

--

2008

2009

2010

2015

2019

2020

NA Applying

first time

10. M.Tech.

Electrical Engg.

(Power Electronics

& Drives)

Electrica

l Engg.

2006 10 0

2

04

04 0

5 --

2008

2009

2015 2019 2020

NA Applying

first time

11. M.Tech. Electronics & Comm.

Engg. (Communic

ation

Electronics & Comm.

Engg.

1987 13 01 0

3 0

3

2008 2009 2010

2015 2019

2020

NA Granted accreditation for 3

years for the period

(2021-24)

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Systems

w.e.f. 2020-21) Earlier

M.Tech. Electronics

& Comm. Engg.

0

4 06

--

12. M.Tech. Mechanical Engg. (

Machine Design)

Mechanical Engg.

2008 14 02

0

4 05

--

2009

2015 2019

2020

NA Granted accreditation for 3

years for the period

(2021-24)

13. M.Tech.

Mechanical Engg.

(Thermal Engg.)

Mechanic

al Engg.

2008 14 0

3 0

3 04

06

--

2009

2010 2015

2019 2020

NA Granted

accreditation

for 3 years for

the period

(2021-24)

14. M.Tech.

Mechanical Engg. (Producti

on & Industria

l Engg. w.e.f. 2020-

21) Earlier

Industrial &

ProductionEngg.

Mechanic

al Engg.

200

8

12 01

03 04 05

--

2009

2010 2015 2019

2020

NA Granted

accreditation

for 3 years for

the period

(2021-24)

15. M.Tech.

Instrumentation

Physics 198

5

10 03

01 03

03 05

--

2006

2008 2009

2010 2019

2020

NA Eligible but

not applied

16. M.Tech. Nanomat

erials &

Nanotechnology

Physics 2019

25 -- --

2019 2020

NA Not Eligible for

accreditation

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17. M.Tech.

School of VLSI Design &

Embedded System

(Embedded System Design)

School of

VLSI Design & Embedde

d System

201

2

20 05

--

2019

2020

NA Not Eligible

for accreditation

18. M.Tech. School of

VLSI Design &

Embedded System (VLSI

Design)

School of VLSI

Design & Embedde

d System (the program

was under the

Dept. of Electronics &

Comm. Engg.

from 2007 to 2011)

2007

20 12 08

--

2007 2019

2020

NA Not Eligible for

accreditation

19. M.Tech. School of

Renewable Energy &

Efficiency (Renewable Energy

Systems)

School of

Renewable

Energy & Efficie

ncy

2012

20 05 --

2019 2020

NA Not Eligible for

accreditation

20. MCA Comput

er Applica

tions

200

7

60+30

* *Self-

finance

04 +02*

*Self-finance

--

2019

2020

NA Eligible but

not applied

21. MBA Business Adminis

tration

2006

60 -07 --

2019 2020

NA Applying first time

# Excluding the sponsored seats Table: A.8.1

* Write applicable one:

Applying first time Granted provisional accreditation for two years for the period (specify period) Granted accreditation for 5 years for the period (specify period) Not accredited (specify visit dates, year)

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Withdrawn (specify visit dates, year) Not eligible for accreditation Eligible but not applied

9. Programs to be considered for Accreditation vide this application

S.

No.

Program Name Current

Year

Sanctioned

Intake

Current

Year

Admissio

n (in

Nos.)

1 M.Tech. in Electrical Engg. (Control

System)

25 23

2 M.Tech. in Electrical Engg. (Power

System)

25 25

3 M.Tech. in Electrical Engg. (Power

Electronics & Drives)

25 25

Table: A.9.1

10. Contact Information of the Head of the Institution and NBA coordinator, if

designated:

a. Name : Prof. B.V. Ramana Reddy

Designation : Director

Phone : 01744-233201,233204,233083

Email id : [email protected]

b. NBA coordinator, if designated

Name : Prof. Brahmjit Singh

Designation : Dean (P&D)

Mobile No. : 9416473644

Email id : [email protected]

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PART B: Departmental Information

1. State the Vision and Mission of the Department

Vision: To strive incessantly for excellence towards education and research in

electrical technologies by nurturing and contributing to state of art

perspectives useful to industry and society.

Mission: The department aims to realize the vision through the following:

To prepare the students for fundamentals in Electrical, Electronics and

computational technology.

To prepare the foundation for undertaking the research for systems involving

emerging field of electrical engineering.

To prepare the professional skill for undertaking consultancy assignments for

solving electrical engineering problems

To prepare dynamic entrepreneurial resources, useful for the society.

2. Justification of consistency of the Department Vision and Mission with the Institute Vision

and Mission

Justification and consistency of Vision Statement

Institute vision statement Department vision

Statement

Justification

To be a role-model in technical

education and To carryout

Research responsive to global

challenges

To strive incessantly for

excellence towards

education and research in

electrical technologies by

nurturing and contributing

to state of art perspectives

useful to industry and

society

Through excellent

teaching learning

environment, one can

develop technically

sound professionals

who can lead the

nation towards

prosperity and through

good research facility

and guidance one can

develop efficient and

economical product

can be useful to

industry and society

Justification and consistency of vision Statement with Mission Statement

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Department Vision Statement Department Mission

Statement

Justification

To strive incessantly for

excellence towards education and

research in electrical technologies

by nurturing and contributing to

state of art perspectives useful to

industry and society

To prepare the

students for fundamentals

in Electrical, Electronics

and computational

technology.

To prepare the

foundation for undertaking

the research for systems

involving emerging field of

electrical engineering.

To prepare the

professional skill for

undertaking consultancy

assignments for solving

electrical engineering

problems

To prepare

dynamic entrepreneurial

resources, useful for the

society.

By providing

innovative teaching

methodology and

implementing OBE

process with learning

environment, students‘

technical and

fundamental skill will

be enhanced

By providing

good analytical

facilities, industry-

institute interaction

with dissemination of

advanced technology,

students‘ problem

solving & research

ability will be enhanced

By providing

various platforms for

co-curricular&

extracurricular,

students approach,

leadership quality, and

professional skills can

be enhanced

Justification and Consistency of Mission Statements

Departmental Mission Statements Mission Statements of the Institute

To prepare the students for

fundamentals in Electrical, Electronics and

computational technology.

To prepare the foundation for undertaking

To impart quality technical education that

develops innovative professionals and

entrepreneurs

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the research for systems involving emerging

field of electrical engineering

To prepare the professional skill for

undertaking consultancy assignments for

solving electrical engineering problems

To prepare dynamic entrepreneurial

resources, useful for the society

To undertake research that generates cutting-

edge technologies and futuristic knowledge,

focusing on the socio-economic needs

3. Details of all UG & PG Programs offered by the department

S

.

N

o

.

PG Program

Name

Corresponding UG

Program/Department Name

Current

Year

Sanctione

d Intake

Current

year

Admission

(in Nos.)

1 Control System

B.Tech. Electrical Engineering/

Department of Electrical

Engineering

25 23

2 Power System

B.Tech. Electrical Engineering/

Department of Electrical

Engineering

25 25

3

.

Power Electronics

and Drives

B.Tech. Electrical Engineering/

Department of Electrical

Engineering

25 25

Table: B.3.1

4. State the Program Educational Objectives (PEOs) for the PG program(s) under

consideration for accreditation.

PEO1: Students should be competent enough to tackle problems related to their

profession, be it in industry or in an academic institution in India or abroad

PEO2: Students are expected to solve Power Electronics and Drives problems and

also to pursue research in the appropriate technological context

PEO3: Students should exhibit ethics, professionalism, multidisciplinary approach,

entrepreneurial thinking and do effective communication in their profession

PEO4: Students should be able to work individually as well as in team and engage in

life-long self-learning for a successful professional career

The process for evaluating program educational objectives is interpretive; that is,

achievement of program educational objectives is inferred from achievement of

program outcomes.

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The following flowchart depicts the method of evaluation

Figure B.1.1.1

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Criteria Summary

Name of the program: M.Tech. (Power Electronics and Drives)

Criteri

a No.

Criteri

a

Mark/Weightag

e

1. Program Curriculum and Teaching –Learning Processes 125

2. Program Outcomes 75

3. Students’ Performance 75

4. Faculty Contributions 75

5. Laboratories and Research Facilities 75

6. Continuous Improvement 75

Total 500

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Criterion 1 Program Curriculum and Teaching –Learning Processes 125

1.1. Program Curriculum (35)

1.1.1. State the process for designing the program curriculum (10)

Fig: B.1.1.2

The curriculum incorporates the advanced technologies and state of art

of the technologies. The steps adopted to design the syllabus are as

follows:

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Step-1: The DAC takes inputs from experts from industry, alumni,

Institute of repute & faculty of the department time to time for upgrading

the curriculum. The very first step is initiated at the institute level for

upgrading the curriculum based on input from various sources and

submitted to concern DAC for their consideration.

Step-2: Based on the inputs of various sources the DAC reviews and

discuss the curriculum/ syllabus of various courses and various

committees are constituted for different courses for upgrading the

curriculum at departmental level.

Step-3: Various committees of different courses upgrade the curriculum/

syllabus of various courses and revised curriculum/ syllabus are

resubmitted to DAC for evaluation.

Step-4: The DAC discuss and deliberate on the revised curriculum/

syllabus and this process continues with in DAC till no more revisions are

required. This exercise involves a number of brainstorming sessions,

discussion and long deliberation.

Step-5: The DAC approves the curriculum and put it in the Board of

Studies (BOS) consisting of faculty from various departments, experts

from the institute of repute and industries.

Step-6: The BOS reviews the draft and suggest revisions, if any,

otherwise approve it.

Step-7: If the BOS suggests some modifications on the revised

curriculum/ syllabus, the steps 2 to 6 are repeated once again.

Step-8: The BOS again reviews the curriculum, and once it is approved,

the curriculum is accepted for final implementation after due approval of

the senate.

Step-9: The outcome of the program is continuously monitored and

validated. Depending upon the review / revision, small changes are

proposed by DAC.

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1.2.1. Structure of the Curriculum (5) Old Scheme 2018-19

FIRST SEMESTER

Course

No.

Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 561T DC Converters & Drives 3 - - 3 3

EE 563T Advanced Theory of Electric

Machinery

3 - - 3 3

EE 565T PLC & Microcontrollers 3 - - 3 3

Elective-I 3 - - 3 3

Elective-II 3 - - 3 3

EE 569P Electrical Machines & Drives

Lab.

- - 4 4 2

EE 571P Seminar-I - - 2 2 2

Total 15 - 6 21 18

List of Electives (Any two electives are to be studied selecting one from each group).

Elective-I

1. EE 503T Digital Control Systems (Core in control system) 2. EE 511 T Information Security (Elective with CS and PS) 3. EE 515 T Control Devices (Elective with CS and PS) 4. EE 513T Reliability Engineering. (Elective with control system) 5. EE 519T Digital Signal Processing (Elective with PS and CS)

Elective-II

6. EE 505T Identification & Estimation (Core in CS, Elective in PS) 7. EE 509T Optimization Theory (Elective with CS and PS) 8. EE 517T Industrial Process Control (Elective with control system ) 9. EE 531T Advanced Power System Analysis (Core in Power system) 10. EE 537T Power System Planning (Elective with PS)

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SECOND SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 562T Modelling & Control of

AC Motors

3 - - 3 3

EE 564T AC Converters 3 - - 3 3

Elective-I 3 - - 3 3

Elective-II 3 - - 3 3

Elective-III 3 - - 3 3

EE 574P Power Electronics Lab. - - 4 4 2

EE 576P Seminar-II - - 2 2 2

Total 15 - 6 21 18

List of Electives(Any three electives are to be studied selecting one from each group).

Elective-I

1. EE 566T Computer Aided Design of Electrical Machines) 2. EE 568T Renewable Energy Resources(Elective with CS and PS) 3. EE 570T Wind Energy in Power System (Elective with CS ) 4. EE 572T Energy Management (Elective with CS and PS) 5. EE 536T Advanced Power System Protection (Elective with Power system) Elective-II

6. EE 532T Power System Operation and Control (Core in PS) 7. EE 542T High Voltage DC Transmission (Elective with Power system) 8. EE 546T Distributed generation and Control (Elective with Power system) 9. EE 502T Non-linear & Adaptive Control. (Core in Control system & Elective in PS) 10. EE 512T Embedded System (Elective with control system ) Elective-III

11. EE 534T Reactive Power Control and FACTS Devices (Core in Power System 12. EE 504T Optimal and Robust Control (Core in Control system) 13. EE 508T Intelligent Control (Elective with Control system and Power system) 14. EE 518T Virtual Instrumentation (Elective with control system ) 15. EE 520T Cryptography (Elective with control system and Power system)

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THIRD SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 621P Preparatory Work for

Dissertation

0 0 20 20 10

20 10

FOURTH SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 622P Dissertation 0 0 32 32 16

32 16

NEW SCHEME 2019-20 onwards

Semester I

Course No. Course Title Lecture Tutorial Practical Credits

MEE3C01 Modeling of electrical machines 3 - - 3

MEE3C03 Power Conversion Techniques 3 - - 3

MEE3C05 Electric Drives 3 - - 3

Elective 1 3 - - 3

Elective 2 3 - - 3

MEE3L01 Power Electronics Lab - - 3 2

MEE3L03 Machines and Drives Lab - - 3 2

Total 15 - 6 19

Total contact Hours 21

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Semester II

Course No. Course Name Lecture Tutorial Practical Credits

MEE3C02 Power Quality 3 - - 3

MEE3C04 PLC and Microcontroller 3 - - 3

MEE3C06/

MEE3O72 *Electric Vehicles

3 - - 3

Elective 3 3 - - 3

Elective 4 3 - - 3

Elective 5 (Open/Departmental) 3 - - 3

MEE3L02 PLC and Microcontroller Lab - - 3 1

MEE3S02 Seminar 1 1

Total 18 - 4 20 Total contact hours 22

* Open elective

List of Electives offered by department in Even and Odd semester

Odd semester Offered by Even semester Offered by

Advanced theory of

Electrical machines

(MEE3E13)

PED Intelligent control of electric drives (MEE3E14)

PED

*Switched mode power

conversion

(MEE3E15/MEE3O71)

PED High power converters (MEE3E16)

PED

*Energy Efficient motors

(MEE3E17/MEE3O73)

PED *Wind energy conversion systems (MEE3E18/MEE3O74)

PED

Design and analysis of

power converters

(MEE3E19)

PED Advanced electric drives

(MEE3E20)

PED

Control system design

(MEE1E33)

CS *Power converters for

renewable energy systems (MEE3E22/MEE3O76)

PED

Intelligent control (MEE1E31)

CS HVDC Transmission (MEE2E44)

PS

Digital signal processing (MEE1E41)

CS Flexible AC Transmission system (MEE2E32)

PS

Optimization theory (MEE1E43)

CS Smart Grid Technology () PS

Solar energy in power PS Distributed generation and PS

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systems (MEE2E41) micro-grids (MEE2E36)

Introduction to machine

learning (MEE1E47)

CS Variable structure and Sliding

mode control (MEE1E32)

CS

Summer Term Academic activity

Course No. Course name L T P Credits

MEE3I02 Case study related to Power Electronics and Drives for societal issues - - - 1

Semester III

Course No. Course Name Lecture Tutorial Practical Credits

MEE3D01 Dissertation Part-I - - 28 14

The dissertation Part-I

End semester evaluation by the committee on the basis of seminar/viva voce/report submitted by the

candidate -100%. To be completed by December (every year)

* Committee comprising the following members

School Coordinator or faculty nominee proposed by School Coordinator

Dissertation Supervisor (and Co-supervisor)

One faculty member as expert preferably from the same specialization

Semester IV

Course No. Course Name Lecture Tutorial Practical Credits

MEE3D02 Dissertation Part-II - - 28 14

1.2.2. State the components of the curriculum (10)

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Program curriculum grouping based on course components OLD SCHEME

Course Component

Curriculum Content

(% of total number

of credits of the

program)

Total number

of contact

hours

Total

number of

credits

Program Core 24.19 15 15

Program Electives 24.19 15 15

Open Electives - - -

Mini Projects - - -

Internships/Seminars 03.23 04 02

Major Project - - -

Lab Work 06.45 08 04

Preparatory work for Dissertation 16.13 20 10

Dissertation 25.81 32 16

Total Number of Credits 62

Table: 1.1.3 NEW SCHEME

Course Component

Curriculum

Content (% of total

number of credits

of the program)

Total number

of contact

hours

Total

number of

credits

Program Core 26.47 18 18

Program Electives 17.64 12 12

Open Electives* 4.41 3 3

Mini Projects/ Summer Activity 1.47 01 01

Internships/Seminars 1.47 01 01

Lab Work 7.35 09 05

Dissertation 41.17 56 28

Total Number of Credits 68

*Student may opt for open elective or departmental elective (Elective-5, Semester-2)

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1.2.3. Overall quality and level of program curriculum (10)

The program curriculum is designed by the department to achieve the PO’s and PSO’s. The curriculum is updated by following the steps described in Section 1.1.1, to disseminate the knowledge of the state-of-art technology, and advance techniques. The compliance of the curriculum for attaining PO’s and PSO’s are checked by various means, namely.

Assessment and evaluation processes: The tests are conducted to attain the PO’s and PSO’s. Two tests are conducted generally; however, under some medical cases third test is also conducted. In addition, quizzes are also conducted to test the knowledge, skill, and reasoning of the students.

Assignments: The students are given assignments of each subject to judge their ability to apply the theory taught to them in the class to solve numerical problems. This enhances their ability to understand the subject in more rational manner. The students can also solve the assignments using the software’s as modern tools to solve the complex problems.

Seminars/Presentations/Report writing: In the seminars, the students learn how to search the journals, prepare the report and present as seminars. This enhances their knowledge in the new technology domain, develop writing skills, and understand professional skills, team work, ethics, and communication skills in them.

Industrial visits and Trainings: Industrial visits are an important part of course program. The students also can undergo training of 6 weeks in different industries and gets exposure of dissertation management, lifelong learning through their ability to work independently and in the team work. They understand the responsibilities to work in groups and learn professional ethics. Students can also attend the short term programs organized at various institutes of national repute such as IITs and ISCs

Attending Conferences and short term courses and workshops: Students are encouraged to attend reputed conferences throughout India to present their research papers. They also attend the short term courses and workshops in reputed institutes. This enhances their exposure to new advances in technical field.

Co-curricular and Extra-curricular activities: The PO’s and PSO’s are also evaluated through co-curricular and extra-curricular activities. The institute organizes the technical fest programs to the students where they apply their knowledge domain to design, model, and develop technical products. The students present these models and share the knowledge among their fellow mates and with other institutions. Cultural programs are arranged to develop the ethics in them, learning through culture and art. It also involves the sports activities. The sports activity and inter technical institutes tournaments are arranged every year to develop moral values in the students, good health programs, and team work among the students to nurture in them overall development. These all above mentioned facts ensure that the quality of the program is maintained

1.1. Teaching-Learning Processes (90) 1.2.1. Quality of end semester examination, internal semester question papers, assignments and

evaluation (20)

Evaluation is a continuous process in the institute. The underrating of the students about the subject is evaluated at various levels in the forms of quizzes, assignments, mid-semester examinations, and end-semester examinations. The details of the complete process are as follows: To ensure the quality of end semester examination, semester question paper and evaluation, some of the

steps are as followed:

1. For every course, there is a coordinator to ensure the quality of assignments, end semester question papers and process of evaluation.

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2. The course coordinator ensures that course objectives are achieved through classroom teaching, mid semester and final examination.

3. Duly constituted committee of the department evaluates the dissertations. 4. As per senate regulation, the question paper is set keeping in view the degree of difficulty. Detailed

analysis of the result is carried out and incorporated for the future evaluation. The assignments, internal assessments, and end semester exams are conducted with the common initiative to evaluate the students on the following grounds: Understanding of the fundamental concepts related to the subject Application of fundamental concepts for problem solving Ability to solve advanced problems In addition, the assignments and internal assessments aim at:

Continuous improvement through regular evaluations Motivation for students to remain active throughout the semester Consideration of students’ cumulative efforts throughout the semester

For the implementation of the above scheme, besides the end semester exam, mid-term written tests are conducted.

Analysis of learning level:

Assignments: The problems in the assignment are divided into following classes depending on the learning level. Easy: They are about 25% of the assignment. They are short problems to clear the concepts Moderate: They are about 50% of the assignment. This allows them to test their problem

solving ability and apply the concept. Difficult: The remaining 25% of the problems are difficult in nature. These are brainstorming

problems to make the students think and discuss the problems. Mid-semester examination: Mid-semester examinations are mostly based on understanding the

concept and it application. End semester examination: The problem in the end-semester examination can be divided into

following class Easy: They are about 30% of the paper. Moderate: They are about 30% of the paper. Difficult: The remaining 40% of the problems are difficult in nature.

Easy problems to test that concept are clear to all the students. The moderate problems are understanding and application based. They are to test the problem solving and comprehension skills of the students. The remaining difficult problems are for students, who have deep understanding of the concept and master the problem solving and comprehension skill in the subject.

Evaluation

After continuous evaluation, throughout the semester, the students are provided with grades depending upon their score. The grades are allocated as per the following distribution

Marks Obtained Grades 85 ≤ Marks A+ 75 ≤ Marks < 85 A 65 ≤ Marks < 75 B 50 ≤ Marks < 65 C 40 ≤ Marks < 50 D Marks < 40 Reappear

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(if passed in either internal or end-semester examination )

E/F

Table.1.2.1

The students who get either E or F grades appear for the examinations again in the next odd or even semester.

For award of grade for dissertation work, following criteria to be used.

The dissertation evaluation will be as per the following criterion.

a) Final Evaluation Components (Maximum 70 marks)

1) Content of Report (Maximum 40 marks)

2) Presentation (Maximum 20 marks)

3) Answer to Examiner's queries (Maximum 10 marks)

b) Marks for paper presented in Conferences organized at IITs/NITs/IIITs/IISc/IISERs/

Conferences sponsored by reputed professional societies (7 marks per paper)

or

Outstanding work done during internship duly certified by industrial supervisor. (Maximum 14

marks for entire B component)

c) Marks for paper in non-paid paper in peer reviewed journals in Scopus/SCI/ SCIE

(30 marks per paper)

or

Patent Accepted (30 marks per patent)

or

M. Tech. Best Project Award given by recognized agency (30 marks)

(Maximum 30 marks for entire C component)

Final Evaluation: The final grade of the fourth semester will be evaluated based on grand total of

marks (a+b+c)/100 as per the institute norms.

Note: In case, the total marks (a+b+c) exceeds 100 it will be counted as 100.

D. Internship Rules:

1. M.Tech. Dissertation Supervisors will be allocated by the end of November in the first

semester.

2. Consent from the respective M.Tech. Dissertation Supervisor by the students through HoD

will be mandatory for the students to participate in the internship drive organized by T&P cell of

the institute. All such expressions of interest should reach T&P cell by 15th of December

positively.

3. For the companies which are offering internship for 7-12 months it will be mandatory for the

industry to provide co-supervisor/project manager.

4. For the companies offering internship upto six months, there will be no co-supervisor/project

manager from industry Such candidates are not covered under internship evaluation.

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5. Dean (Academic) will approve Internship cases only on the recommendation of Dean (l&IR)

and the candidate can join the concerned industry only after receiving the approval of Dean

(Acad).

6. Candidate is required to appear for viva voce/presentation as and when required by the parent

department.

7. All publications will be in the names of candidate and supervisor(s) during internship.

8. Copyright, trademark and patents during internship will be jointly in the names of NIT

Kurukshetra and concerned industry.

9. No scholarships will be provided by the institute during internship period, if it is paid.

10. Internship/Project work in reputed Academic Institutions / R&D organizations will be

allowed only after recommendation of the concerned supervisor and HoD of the respective

department.

11. At the end of internship, the candidate is required to submit final report duly signed by

concerned supervisor(s) along with no dues certificate from the concerned industry.

12. Internal and end semester examinations will be conducted in the institute as per the institute

rules.

1.2.2. Quality of Student’s Dissertations (30)

In EED M.Tech. Scheme, dissertation is done in place of Project and its quality is measured in terms of

Very clear and concise objectives Very clear methodology, articulated using technical terms indicating all steps and tools Cites substantial current and good quality literature Clarity in design/setting up of experiment. Benchmarks used / Assumptions made Interpretation of results and justification thereof and validity of the results presented.

Overall presentation of the report

1) Students are encouraged to become aware of real life problems faced by industries / research. 2) Students are encouraged to undertake dissertations related to the research relevant to latest

developments in the field of control and automation. 3) The dissertation supervisor evaluates its relevance and importance. 4) Duly constituted committee of the department evaluates the dissertations.

In order to maintain high quality of student dissertation, the following factors are given due

consideration during identification, allotment, and evaluation process:

Type The dissertations are classified as follows:

Application Oriented The dissertation quality is assessed based on how successfully the fundamental and/or

advanced concepts are applied for solving a commercially or socially useful problem.

Product Design/Development The dissertation quality is assessed on the basis of whether it is an improved version of an existing product or an altogether new product and how far it meets the requirements and constraints.

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Research The dissertation quality is assessed based on whether it is a basic explorative research leading to a positive outcome or a research innovation leading to the development of new technology.

Review/Study The dissertation quality is assessed based on how comprehensive is the review or study and the importance of facts and limitations it reveals.

Environment

It is ensured that the dissertation is environment friendly in all respects:

Procurement of raw material poses no direct or indirect threat to the environment. No/insignificant release of polluting gases No/insignificant waste products, which may cause pollution / Proper disposal of waste In case the dissertation outcome is the development of a new product or process, it should be

in accordance with environmental norms.

Safety It is ensured that:

The processes involved do not pose any potential threat to the safety of students and institute property.

The students working in laboratories follow proper safety measures. The product/process developed (if any) is in accordance with industrial and/or domestic

safety norms.

Ethics It is carefully examined that:

The topic of the dissertation is not against the common social beliefs and values No unethical means are adopted for data collection The product/process developed (if any) has no potential unethical utility

Cost

The proposed budget (if any) is critically reviewed to verify that:

The proposed cost is within the predefined limit Sufficient funds are available Each cost component is well justified and supported by quotations

The dissertation outcome in terms of improvement/benefit/utility etc. justifies the cost

DISSERTATION IDENTIFICATION AND ALLOTMENT The students as individuals are assigned to a faculty advisor who may follow any one of the following

procedure for dissertation identification and allotment:

Dissertation proposals are invited from students and critically assessed based on previously mentioned quality standards.

In case the students are willing, topics already identified by the faculty advisor are assigned directly.

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The students are instructed to perform a literature survey pertaining to a specific topic, identify limitations and draft a dissertation proposal

Dissertation Monitoring The progress of the dissertation is monitored continuously by the faculty supervisors throughout the semester.

The Preparatory Work for Dissertation is evaluated by a committee comprising the following (on the basis of one mid semester seminar and one end semester seminar presented and one end semester report submitted by the candidate):

1. HOD or faculty nominee proposed by HOD 2. Dissertation Supervisor and co-supervisor 3. Two senior most faculty members of the department

Dissertation Evaluation

The Dissertation shall be evaluated by a committee comprising the following through presentation cum viva-voce examination:

1. HOD or faculty nominee proposed by HOD. 2. Dissertation Supervisor. 3. One external expert appointed by the department.

1.2.3. Initiatives related to industry interaction including industry internship/summer training

(10)

Department has been actively interacting with Industry for overall development of the department and students to be specific from industry perspective.

Technical Societies: ELECTRORECK is the official technical society of the department of Electrical Engineering. It functions with the objective of enhancing the technical acumen of the students who come under its umbrella, aiming to bring their core technical competencies in alignment with the national benchmark. The society accomplishes this mission by organizing a plethora of activities, the primary among which are the two major technical festivals of the institution is Techspardha. Some of the events organized by it include technical paper presentation, preparation of working model in the event Vidwan.

Lectures: Lectures are organized in the department by calling experts from the industries like POWERGRID, DRDO etc. to familiarize students and faculty with the latest developments in trends and technologies.

Alumni talks: Department is continuously interacting with alumni of institute working in various reputed industries in order to seek their participation in various activities of the department like curriculum revision, dissertation guidance, research, training and placement.

Industry- Interaction Cell: The students get exposure to various practical aspects of industries through workshops and interaction with industrial aspects. It facilitates conduct of expert lectures/ interaction from industry / corporate experts. Students are also guided w.r.t. undertaking the summer trainings.

Industrial Visits/ Fairs:

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Students are encouraged to attend industrial fair organized by various organizations /industry such as Auto-Expo. Industrial visits are being organized by the department frequently. For example, in past students were provided an opportunity to visit dams in Himachal Pradesh, BHEL Haridwar, etc.

Industrial Training/internship: The students can to go for the industrial training/internship in the third and fourth semester.

The institute also undertakes initiatives to improve the relation with industries for internships by:

a. Inviting industry experts in various events. b. Inviting alumni working in industries during alumni meet and alumni talks. c. Pre-placement talks conducted by the companies coming for the campus interview.

Student’s technical societies invite guest from leading industries for judging the technical events.

1.2.4. Participation of Industry professionals in curriculum development, as examiners, in major

dissertations (10)

As explained in section 1.1.1, the DAC takes inputs from experts from industry, alumni, Institute of repute

and faculty of the department time to time for upgrading the curriculum. The very first step is initiated at the

institute level for upgrading the curriculum based on input from various sources and submitted to concern

DAC for their consideration.

Professionals from reputed industries and research organizations are also engaged as examiners. They can

also be associated with dissertation work or dissertation of the students as Co-supervisors. They also

participate in conferences and workshops organized by the department. Experts from the industry and

academia are invited on regular basis to deliver the talks. It enhances the knowledge and exposure of the

students to the real industrial problems and technical advancements and cutting edge technologies.

Feedback from alumni helps in continuous development of curriculum.

1.2.5. Quality of laboratory work given (20)

Laboratory quality can be defined as accuracy, reliability, and timeliness of the reported test results. The laboratory results must be as accurate as possible, all aspects of the laboratory operations must be reliable, and reporting must be timely in order to be useful.

To ensure the quality of laboratory work, following points are ensured

1. Good quality and latest equipment are purchased which are regularly upgraded 2. Continuous updating in the list of experiments are done 3. Technical manpower are trained and updated at regular intervals 4. Regular assessment of laboratory work is done 5. Software/tools are upgraded time to time 6. PG labs are of such level that can be utilized by PhD scholars for their research work

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CRITERION 2 Program Outcomes 75

2.1 Establish the connect between the courses and POs (15)

POs as defined in Annexure-I

POs Courses* (Old Scheme) Courses* (New Scheme)

PO1 An ability to independently carry

out research/ investigation and

development work to solve

practical problems

EE-571P, EE-576P, EE-574P, E-

570T, EE-569P, EE 503T, 509T,

EE 513T, EE 537T, EE 565T, EE-

563T,EE569P, EE 532T, E-

570T, EE 564T,EE574P

MEE3C01, MEE3C03, MEE3C05, MEE3C02,

MEE3C04, MEE3C06, MEE3E13, MEE3E15,

MEE3E17, MEE3E19, MEE1E33, MEE1E31,

MEE1E41, MEE1E43, MEE2E41, MEE1E47,

MEE3E14, MEE3E16, MEE3E18, MEE3E20,

MEE3E22, MEE2E44, MEE2E32, MEE2E36,

MEE1E32, MEE3L02, MEE3L03, MEE3L01

PO2 An ability to write and present a

substantial technical report/

document

EE-571P, EE-576P, EE-574P, E-

570T, EE-569P, EE 503T, 509T,

EE 513T, EE 537T, EE 565T, EE-

563T, EE569P, EE 532T, E-

570T, EE 564T, EE574P

MEE3C01, MEE3C03, MEE3C05, MEE3C02,

MEE3C04, MEE3C06, MEE3E13, MEE3E15,

MEE3E17, MEE3E19, MEE1E33, MEE1E31,

MEE1E41, MEE1E43, MEE2E41, MEE1E47,

MEE3E14, MEE3E16, MEE3E18, MEE3E20,

MEE3E22, MEE2E44, MEE2E32, MEE2E36,

MEE1E32, MEE3L02, MEE3L03, MEE3L01

PO3 Students should be able to

demonstrate a degree of mastery

over the area as per the

specialization of the program.

The mastery should be at a level

higher than the requirements in

the appropriate bachelor program.

EE-571P, EE-576P, EE-574P, E-

570T, EE-569P, EE 503T, 509T,

EE 513T, EE 537T, EE 565T, EE-

563T, EE569P, EE 532T, E-

570T, EE 564T, EE574P

MEE3C01, MEE3C03, MEE3C05, MEE3C02,

MEE3C04, MEE3C06, MEE3E13, MEE3E15,

MEE3E17, MEE3E19, MEE1E33, MEE1E31,

MEE1E41, MEE1E43, MEE2E41, MEE1E47,

MEE3E14, MEE3E16, MEE3E18, MEE3E20,

MEE3E22, MEE2E44, MEE2E32, MEE2E36,

MEE1E32, MEE3L02, MEE3L03, MEE3L01

PO4 To apply the knowledge of

engineering fundamentals in the

area of power electronics for the

upliftment of society.

EE-571P, EE-576P, EE-574P, E-

570T, EE-569P, EE 503T, 509T,

EE 513T, EE 537T, EE 565T, EE-

563T, EE569P, EE 532T, E-

570T, EE 564T, EE574P

MEE3C01, MEE3C03, MEE3C05, MEE3C02,

MEE3C04, MEE3C06, MEE3E13, MEE3E15,

MEE3E17, MEE3E19, MEE1E33, MEE1E31,

MEE1E41, MEE1E43, MEE2E41, MEE1E47,

MEE3E14, MEE3E16, MEE3E18, MEE3E20,

MEE3E22, MEE2E44, MEE2E32, MEE2E36,

MEE1E32, MEE3L02, MEE3L03, MEE3L01

PO5 To adopt the ever-changing

technologies and new

developments in the field of

power electronics & Drives

ethically.

EE-576P, EE-574P, E-570T, EE-

569P, EE 503T, 509T, EE 513T, EE 537T, EE 565T, EE-563T,

EE569P, EE 532T, E-570T, EE

564T, EE574P

MEE3C01, MEE3C03, MEE3C05, MEE3C02,

MEE3C04, MEE3C06, MEE3E13, MEE3E15,

MEE3E17, MEE3E19, MEE1E33, MEE1E31,

MEE1E41, MEE1E43, MEE2E41, MEE1E47,

MEE3E14, MEE3E16, MEE3E18, MEE3E20,

MEE3E22, MEE2E44, MEE2E32, MEE2E36,

MEE1E32, MEE3L02, MEE3L03, MEE3L01

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Table: 2.1.1

*Mention the courses relevant to the PO

COs as defined in Annexure-II

2.2 Attainment of Program Outcomes (60)

2.2.1 Describe the assessment tools and processes used to gather the data upon which the

evaluation of Program Outcome is based (20)

Assessment Tools

The course curriculum for each course is systematically designed so as to meet the objectives of outcome based higher

education. The expected outcomes pertaining to each course are carefully defined so that the attainment of each CO is

measurable. Several direct assessment tools, as described below, are employed for this purpose.

Internal Evaluation

(i) Mid-Semester Examinations: Two mid-semester tests are conducted for each course in a semester. Each of these tests

carries an equal weight-age of 15% in overall score. The question papers for each test are so designed that each question

addresses one or more COs pertaining to the relevant part of the syllabus. The evaluated answer sheets are shown to the

students so that they can improve upon their mistakes in the final examination.

(ii) Teacher’s Assessment:It is based upon the combination of one or more of the following.

(a) Assignment

(b) Quizzes

(c) Viva-voce

The total marks pertaining to the above are averaged over scale of 10.

(iii) Attendance: In addition, the internal evaluation also includes attendance with a weightage of 10%.

End semester exam

A final examination covering the entire syllabus is conducted at the end of each semester it carries a weightage of 50% in

overall score. The question papers of end semester exam are designed in such a way that all the questions mapped with

every course outcomes. The performance of students is measured by the obtained results based on the quality of questions

and evaluation of answer sheets

Processes

The attainment levels of course outcome obtain by the following processes:

Direct Assessment

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1) The results obtained from the evacuation (Internal/End Sem.) are recorded for the measure of performance of

the students.

2) The question paper of End Sem. Exam is prepared by concerned teachers and evaluated by the respective

course coordinator.

3) The final results are displayed on the notice board after evaluation and answer sheets are shown to the

students.

4) Performance of students in the examination (Internal/End Sem.) is mapped with course outcomes in a table.

5) At the end of every semester, an academic audit is carried out on coverage of syllabus, Mid Sem. test and

assignment etc.

Indirect Assesment

1. Exit Survey

2. Alumni Survey

3. Employer Survey

2.2.2 POs attainment levels with observations (40)

POs Attainment

Session (2018-19)

Sl.N Core/Electives Course

No. Course PO1 PO2 PO3 PO4 PO5

1 Core-I EE

561T DC Converter & Drives (PED)

85.7 82.4 76.9 90.8 65.7

2 Core-II EE

565T PLC & Microcontrollers

50.3 50.6 46.9 48.9 44.9

3 Core-III EE

563T

Advanced Theory of Elec. Machinery

96.4 96.7 90.7 71.1 69.7

4 Elective EE

503T Digital Control System

78.7 78.5 76.3 73 65.8

5 Elective EE

509T Optimization Theory

77.1 64.3 59.4 84 53.4

6 Elective EE

537T Power System Planning

89 81 89 89 48

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7 Elective EE-

513T Reliability Engineering

78.1 78.6 74.3 69.1 61.4

8 Practical EE

569P

Electric Machine and Drives Lab

89.9 63.5 97.4 91.2 83.1

9 Seminar EE

571PS Seminar-I 63 63 63 56 56

10 Core-I EE

562T

Modeling & Control of AC Motors

93.1 93.1 93.7 94.1 93.6

11 Core-II EE

564T AC Controllers 76.6 77.4 71.4 75.1 67.6

12 Core-III EE

570T Wind Energy in Power Systems

89.9 89.8 90.5 97.5 70.3

13 Elective EE

542T HVDC Transmision

90 91 80 83 70

14 Elective EE

534T

Reactive Power Control & FACTS Devices

91 96.1 86.3 97.2 80.8

15 Elective EE

532T

Power Systems Operation & Control

82 83.6 86.6 88.6 81.8

16 Practical EE

574P Power Electronics Lab

89.9 63.5 97.4 91.2 83.1

AVERAGE 82.54 78.32 79.99 81.24 68.45

Session (2019-20)

S.N. Core/ Course

No. Course PO1 PO2 PO3 PO4 PO5

Electives

1 Core-I MEE3C01

Modeling of

Electrical

Machines

82.2 82.5 76.5 76.9 81.7

2 Core-II MEE3C03 Power

Conversion

Techniques

82.8 82.7 76.6 78.7 71.1

3 Core-III MEE3C05 Electric Drives 89.4 89.7 90.4 90.8 69.4

4 Elective MEE1E31 Intelligent

Control 78.5 79.7 79.3 86.4 72.7

5 Elective MEE1E33 Control System

Design 77.9 78.4 89.8 70.5 75.8

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6 Elective MEE1E43 Optimization

Theory 89.9 90.2 84.1 84.5 76.5

7 Elective MEE2E41 Solar energy in

Power Systems 83.3 89.8 83.8 90.9 90.3

8 Elective MEE1E47

Introduction to

Machine

Learning

76.6 76.3 89.1 71.7 75.9

9 Elective MEE2E13

Advanced

Theory of

Electrical

Machines

96.4 91.4 86.7 65.8 69.7

10 Elective MEE3E19

Design and

Analysis of

Power

Converters

94.4 88.6 84.7 74.8 72.2

11 Practical MEE3L03

Electric

Machine and

Drives Lab

89.4 63.2 96.8 90.5 82.6

12 Core-I MEE3C02 Power Quality 83.1 83.4 77.3 77.7 83

13 Core-II MEE3C04 PLC and

Microcontroller 66.5 66.8 61.4 63.8 58.5

14 Core-III MEE3C06 Electric

Vehicles* 74.8 86.4 69.1 75.9 62.7

15 Elective MEE1C02 Multivariable

control systems 89.9 83.5 90.8 77.8 63.1

16 Elective MEE3E34 High Power

Converters 73.2 73.5 80.7 75 75.1

17 Elective MEE3E22

Power

Converters for

Renewable

Energy

Systems

92.6 90.8 92.8 88.5 82.4

18 Elective MEE2E36

Distributed

Generation and

Micro-Grids

79.1 86.8 81.6 79.6 81.3

19 Elective MEE2E44 HVDC

Transmission 82.6 83.7 81.6 85.6 84.6

20 Elective MEE2E32

Flexible AC

Transmission

System

85.9 85.8 75.8 81.5 86.3

21 Elective MEE3E36

Wind Energy

Conversion

Systems

91.1 91.4 92 97.8 69.7

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22 Elective MEE3E38 Advanced

Electric Drives 83.1 96.7 77.3 84.4 76.4

23 Practical MEE3L02

PLC and

Microcontroller

Lab

72.2 51.4 78.5 74.6 67.1

24 Seminar MEE3S02 Seminar 89.9 63.5 97.4 91.2 83.1

AVERAGE 83.53 81.51 83.09 80.62 75.47

Session (2020-21)

S. N. Core/Electives Course No. Course PO1 PO2 PO3 PO4 PO5

1. Core-I MEE3C01

Modeling of

Electrical

Machines

89 96.4 97 77.4 76.1

2. Core-II MEE3C03

Power

Conversion

Techniques

90 90.1 84 84.4 76.4

3. Core-III MEE3C05 Electric Drives 83 96.7 77.3 84.4 76.4

4. Elective MEE2E13

Advanced

Theory of

Electrical

Machines

96 90.9 86.1 65.4 69.4

5. Elective MEE1E31 Intelligent

Control 83 83.5 84.1 91.2 76.5

6. Elective MEE1E33 Control System

Design 74 72.2 85.1 69.1 71.8

7. Elective MEE1E43 Optimization

Theory 90 90.2 84.1 77.8 76.5

8. Elective MEE2E41 Solar energy in

Power Systems 83 89.8 77.1 84.2 90.3

9. Elective MEE1E47

Introduction to

Machine

Learning

74.9 75.2 87.7 70.9 75.3

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10. Practical MEE3L01 Power

Electronics Lab 65 46.7 72.2 69.2 61.2

11. Practical MEE3L03

Electric

Machine and

Drives Lab

87 61.8 94.9 89 81

12. Core-I MEE3C02 Power Quality 82 82.6 76.6 77 80.8

13. Core-II MEE3C04 PLC and

Microcontroller 44 44.9 40.5 44.2 41.2

14. Core-III MEE3C06 Electric

Vehicles* 82 95.3 76.4 83.3 75.4

15. Elective MEE1C02 Multivariable

control systems 90 83.5 90.8 77.8 63.1

16. Elective MEE3E22

Power

Converters for

Renewable

Energy Systems

95 92.4 90.6 91.2 78.4

17. Elective MEE2E36

Distributed

Generation and

Micro-Grids

84 81.2 82.3 85.6 82.3

18. Elective MEE3E36

Wind Energy

Conversion

Systems

91 91 91.6 97.3 69.4

19. Elective MEE3E38 Advanced

Electric Drives 83 96.7 77.3 84.4 76.4

20. Elective MEE2E44 HVDC

Transmission 88 85.6 86.2 89.3 90.1

21. Elective MEE2E32

Flexible AC

Transmission

System

85.9 96.4 86.5 97.5 81

22. Practical MEE3L02

PLC and

Microcontroller

Lab

42 32.3 46.4 45.8 40.6

23. Seminar MEE3S02 Seminar 90 63.5 97.4 91.2 83.1

AVERAGE 81.4 80.0 81.4 79.5 73.6

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Examiner of the dissertation (CAY)

Sr.

No. Name of student

Roll No.

of student

Name of

the

Supervisor

Subject

expert

HOD

Nomnee

Tentative

date of

viva-voce

exam

1 Priyesh Saini 31904205 Dr. Ratna

Dahiya

Dr. K. S.

Sandhu

Dr.Shivam 29-07-21

2 Jaipal 31904211 Dr. K S

Sandhu

Dr. Yash

Pal

Dr Rahul

Sharma

23-09-21

3 Ashish Belwal 31904302 Dr J S

Lather

Dr. Yash

Pal

Dr. Rahul

Sharma

01-10-21

4 Sunil Mandal 31904304

Dr. Kiran

Kumar

Jaladi

Dr. Yash

Pal

Dr.M.P.R

Prasad

01-10-21

5 Monika 31904308 Dr. K S

Sandhu

Dr. Yash

Pal

Dr Shivam 13-10-21

6 Chandrima Sahu 31904310 Dr. Rahul

Sharma

Dr. K. S.

Sandhu

Dr. Shivam 21-07-21

7 Dhirendra Kumar

Gupta 31904311

Dr. Shelly

Vadhera

Dr. Yash

Pal

DR. Rahul

Sharma

07-10-21

8 Priyanka Verma 31904312 Dr. Shivam Dr. Yash

Pal

Dr. Pradeep

Kumar

25-09-21

9 Anurag Semwal 31904313 Dr. J S

Lather

Dr. Yash

Pal

Dr. Rahul

Sharma

30-09-21

10 Rohitendra Pratap

Singh 31904314

Prof.

Rupanshi

Batra

Dr. Yash

Pal

Dr.Shivam 13-10-21

11 Shailesh Kumar 31904317

Dr. Shashi

Bhushan

Singh

Dr. Yash

Pal

Amit kumar 29-09-21

12 Suram Rahul 31904318 Dr. M P R

Prasad

Dr. Yash

Pal

Dr Kiran

Kumar J

29-09-21

13 Umesh Kumar 31904319 Dr. Amit

Kumar

Dr. Yash

Pal

Dr. Shashi B

Singh

09-10-21

14 Vaibhav

Karambelkar 31904320

Dr. L M

Saini

Dr. K. S.

Sandhu

Dr. S B Singh 15-11-21

15 Akash Rai 31904321 Prof. Sunita Dr. Yash Dr. Shivam 27-09-21

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Chauhan Pal

16 Divakar Jha 31904322 Dr. Rahul

Sharma

Dr. Yash

Pal

Shelly

Vadhera

07-10-21

17 Anjali Saini 31907111 Dr. Amit

Kumar

Dr. Yash

Pal

Dr. Rahul

Sharma

24-07-21

18 Manda Shva

Reddy 31910107

Dr. Kiran

Kumar

Jaladi

Dr. Yash

Pal

M.P.R.Prasad 01-10-21

Examiner of the dissertation (CAYm1)

Sr.

No. Name of student

Roll No.

of student

Name of

the

Supervisor

Subject

expert

HOD

Nomnee

Tentative

date of

viva-voce

exam

1 Sunil 31804302 Dr. G L

Pahuja

Dr K.S.

Sandhu

Dr. J S

Lather 15.03.21

2 Ravindra Kumar 31804304 Dr.K S

kksSandhu

Dr.

Yashpal

Dr. Rahul

Sharma 18.07.20

3 Saumya Tripathi 31804305

Dr

Rupanshi

Batra

Dr K.S.

Sandhu

Dr Shashi

Bhushan 17-09-20

4 Kona Siva Naga

Raju 31804307

Dr Pradeep

Kumar

Dr K.S.

Sandhu Dr Shivam 09-10-20

5 Yogesh Kumar 31804308 Dr Yashpal Dr K.S.

Sandhu

Dr Rahul

Sharma 14-08-20

6 Pooja Kumari 31804309 Dr L.M.

Saini

Dr K.S.

Sandhu Dr Shivam

11-03-

2021

7 Vikas Kumar

Tiwari 31804310

Dr Atma

Ram Gupta

Dr K.S.

Sandhu Dr Shivam 27.07.20

8 Vikas Kumar 31804311 Dr Atma

Ram Gupta

Dr K.S.

Sandhu Dr Shivam 27-07-20

9 Manasa Gade 31804312 Dr Yashpal Dr K.S.

Sandhu

Dr Rahul

Sharma 14-08-20

10 Anand Yadav 31804313 Dr Shelly

Vadhera

Dr K.S.

Sandhu

Dr Shashi

Bhushan 30-09-20

11 Dharavath

Narender 31804315

Dr K.S.

Sandhu Dr Yashpal Dr Shivam 28-07-20

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12 Abhishek Saini 31804319 Dr L.M.

Saini

Dr K.S.

Sandhu Dr Shivam 21-07-20

13 Gangireddy

Nagarjuna Reddy 31804101

Dr Pradeep

Kumar

Dr K.S.

Sandhu Dr Shivam 09-10-20

14 Siddharth Singh 31804110

Dr

Ashwani

Kumar

Dr K.S.

Sandhu

Dr Atma

Ram Gupta 28-09-20

15 Vipin Kumar

Dhiman 31804115 Dr Shivam

Dr K.S.

Sandhu

Dr Pradeep

Kumar 08-10-20

16 S. Arun Naik 31804202 Dr G.L.

Pahuja

Dr K.S.

Sandhu

Dr J.S.

Lather 05-10-20

Examiner of the dissertation (CAYm2)

Sr

No Roll No. Name

Dissertation

Topic

Internal

Supervisor External Examiners

1 Mukesh

Kumar 31704303

Creation Of N-

Isolation Dc

Source For

Multilevel

Inverter

Dr. Anil

Kumar

Dahiya

Prof. Nalin B. Dev Choudhary,

Deptt. of Electrical Engg.

NIT Silchar, (Near Chachar), Assam,

E-mail: [email protected]

Phone: 9435073310

2 Tilak Raj

Sharma 31704305

Direct Torque

Control Of Bldc

Motor With

Reduced Torque

Ripple

Dr. Yash Pal

Dr. Dr. M M Tripathi

Professor

Deptt. of Elect. Engg

DTU, Delhi

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3 Robin

Chola 31704306

Vehicle To Grid

Energy Transfer

Using

Bidirectional

Converter In A

Microgrid

S.B. Singh

Ms. Vinod Kumar Yadav, Associate

Professor

Department of Electrical

Engineering,

Delhi Technological University

(DTU)

Email: [email protected]

Phone: 7678681023

4 Deepak

Shnarma 31704307

Application of

Current Source

Inverter in Grid

Connected

Renewable

Energy Systems.

Dr. Ratna

Dahiya

D. K. Jain, Professor

Electrical Engineering Department,

DCRUST Murthal – 131039

Email: [email protected]

Mobile: +91-80538-89154

5 Kanchan

Jha 31704308

Direct Torque

and Flux Control

of PV Connected

Permanent

Magnet

Synchronous

Machine

Dr. Ratna

Dahiya

Dr. Tripta Thakur, Professor

Department of Electrical

Engineering,

MANIT Bhopal – 462003

Email: [email protected]

Mobile: +91-78693-01972 (R)

Phone: +91-755-4051411 (O)

6 Prashant

Mishra 31704310

Sine Cosine

Algorithm Based

Optimal

Switching Stategy

for Cascaded H-

Bridge Inverter

Dr. Aeidapu

Mahesh

Dr. Jagdish Kumar, Professor,

Department of Electrical

Engineering,

PEC University of Technology,

Sector – 12, Chandigarh-160012.

Emails: [email protected]

: [email protected]

Phone No.: 0172-2753463 (O)

+91-9041389731 (P)

7 Ravi Kant

Sharma 31704311

Performance

Analysis of

Multilevel

Inverter for

Renewable

Energy System

Dr Shivam

Dr. Asheesh Kumar Singh, Associate

Professor

Electrical Engineering Department,

MNIT Allahabad – 211004

Email: [email protected]

Phone: +91-94551-33600

8 Shikha

Gautam 31704313

Performance

Improvement of

Shunt Active

Dr. Aeidapu

Mahesh

Dr. Jagdish Kumar, Professor,

Department of Electrical

Engineering,

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Power Filter

using

Evolutionary

Algorithms

PEC University of Technology,

Sector – 12, Chandigarh-160012.

Emails: [email protected]

[email protected]

Phone No.: 0172-2753463 (O)

+91-9041389731 (P)

9

Bipin

Kumar

Nishad

31704314

IFOC Control of

IM for Electric

Vehicles

Rahul Sharma

Dr. Mukhtiyaar Singh, Associate

Professor

Department of Electrical

Engineering,

DTU Delhi -110042

Email: [email protected]

Mobile: +91-89010-73179

10 Sumit

Kumar 31704315

Application of

Multilevel

Inverter For A

Standalone Solar

System and DTC

Controlled

Induction Motor

Drive

Dr. Yashpal Dr. D K Jain, Professor

DCRUST, Murthal Sonepat

11 Upendra

Singh 31704319

On-Board

Integrated Bi-

Directional

Electric Vehicle

Battery Chargers

Dr. Yashpal Dr. Bhim Singh, Professor

Deptt. of Elect. EnggIIT, Delhi

12 Nandam

Rajesh 31704318

Performance

Improvement of

A Direct Torque

Controlled

PMSM Drive

Dr. Aeidapu

Mahesh

Dr. Jagdish Kumar, Professor,

Department of Electrical

Engineering,

PEC University of Technology,

Sector – 12, Chandigarh-160012.

Emails: [email protected]

[email protected]

Phone No.: 0172-2753463 (O),

+91-9041389731 (P)

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13

Sanjay

Kumar

Kakodia

31704317

Indirect Field

Oriented Control

of Induction

Motor With

Multilevel

Invereter

Dr. Shivam

Dr. Asheesh Kumar Singh,

Associate Professor

Electrical Engineering Department,

MNIT Allahabad – 211004

Email: [email protected]

Phone: +91-94551-33600

14 Chetan

Kumar 31704102

Comparative

Analysis of

Multi-Carrier

PWM

Methodologies

For Three Phase 9

Level Cascaded

Inverter

Dr. Sathans

Dr Rajesh Kumar,

Prof. & Head Electrical Engineering

Department

MNIT Jaipur, Rajasthan

Email:[email protected]

15 Ankit Raj 31704316

DTC Control of

IM For Electric

Vehicles

Dr. Rahul

Sharma

Dr. Mukhtiar Singh, Associate

Professor

Department of Electrical

Engineering,

DTU Delhi -110042

Email: [email protected]

Mobile: +91-89010-73179

16

Md.

Majbur

Rahaman

3141703

Magnetic Circuits

of Electrical

Machines: An

Analysis

Dr. K.S.

Sandhu

Dr. Dinesh Kumar Jain

Prof. Department of Electrical

Engineering

DCRUST Murthal

Email: [email protected]

Phone: 8053889154

17 Surbhi

Walia 3141720

Site Matching for

Wind Trubines

Dr. K.S.

Sandhu

Dr. Dinesh Kumar Jain

Prof. Department of Electrical

Engineering

DCRUST Murthal

Email: [email protected]

Phone: 8053889154

2.2.3 Observations on attainment levels for each of the POs.

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The continuous improvement of the POs attainment is the core objective of the deigned scheme and evaluation methods.

Based on the attainment levels of each POs, various efforts are outlined:

i. Theory courses: The inclusion of various courses in the recently revised scheme significantly affected the attainment

levels, and it will continue in forthcoming sessions. Further, the classroom coverage of real-life use-cases and content

from another renowned institute portal as supplementary material could significantly enhance the attainment level.

ii. Laboratory course: The laboratory manual revised and improved, with an objective to meet the challenge of global

benchmarks and perceptive. The list of experiments in the course manual also includes the real-life use-cases of a

course.

iii. Seminar course: The coverage of the seminar topics is enhanced, to offer the wider perceptive to the students on the

various developments in all aspects of Control System-related research.

iv. Dissertation work: In the assessment, particularly in the Pre-preparatory evaluation students are advised with critical

and inputs of domain-specific. There are various components are introduced to encourage students and improve the

quality of research contribution (through quality publications).

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CRITERION 3 Students’ Performance 75

Item

(Information to be provided cumulatively for all the shifts with explicit headings,

wherever applicable)

CAY CAYm1 CAYm2 (LYG)

CAYm3 (LYGm1)

CAYm4 (LYGm2)

20

20

-2

1

20

19

-2

0

20

18

-1

9

20

17

-1

8

20

16

-1

7

Sanctioned intake of the program (N) 25 25 20 20 20

Total number of students admitted through GATE

(N1) 25 23 20 19 18

Total number of students admitted through PG

Entrance and others (N2) - - - - 1

Total number of students admitted in the Program

(N1 + N2) 25 23 20 19 19

Table: 3.1

CAY – Current Academic Year

CAYm1- Current Academic Year minus1 CAYm2 - Current Academic Year minus2 LYG – Last Year Graduate LYGm1 – Last Year Graduate minus 1

LYGm2 – Last Year Graduate minus 2

Year of entry

N1 + N2

(As defined above)

Number of students who have successfully

graduated

I Year II Year

CAY (2020-21) 25 23

CAYm1 (2019-20) 23 20 19

CAYm2 (LYG) (2018-19) 20 17 15

CAYm3 (LYGm1) (2017-

18) 19 16 14

CAYm4 (LYGm2) (2016-

17) 19 17 15

Table: 3.2

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Enrolment Ratio through GATE (20)

Enrolment Ratio= N1 /N; N is sanctioned intake; N1 is number of students admitted through GATE.

Enrolment Ratio

CAY

2020-21

CAYm1

2019-20

CAYm2

2018-19

CAYm3

2017-18

CAYm4

2016-17

25/25= 100% 23/25 = 92% 20/20 = 100% 19/20 = 95% 19/20 = 95%

Average Enrollment ratio = (100+92+100+95+95)/5 = 96.4%

Item (Students enrolled at the First Year Level on average basis during the last three years staring from Current Academic Year)

Marks

>=80% students enrolled through GATE 20

>=60% students enrolled through GATE 16

>=50% students enrolled through GATE 12

>=40% students enrolled through GATE 8

>=20% students enrolled through GATE 6

<20% students enrolled through GATE 0

Table: 3.1.1

Success Rate in the stipulated period of the program (20) S.I. = Number of students completing program in stipulated duration/ Number of students admitted in first year of same

batch;

S.I. for past 3 years

CAYm2

2018-19

CAYm3

2017-18

CAYm4

2016-17

15/20 =0.75 14/19=0.73 15/19=0.78

Average S.I.= Mean of SI for past 3 Batches =(.75+.73+.780)/3 = .75

Assessment points = 20 X Average S.I. = 20 x .75 = 15

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3.1. Placement, Higher Studies and Entrepreneurship (20)

Assessment Points = 20 × average placement; N is the total no. of students admitted in first year

Item CAYm1

(2019-20)

CAYm2

(2018-19)

CAYm3

(2017-18)

No. of students placed in companies or

Government Sector (x) 12 12 9

No. of students pursuing Ph.D. / JRF/ SRF(y) 1 3 5

No. of students turned entrepreneur in

engineering/technology (z)

- - -

x + y + z = 13 15 14

Placement Index : (x + y + z )/N 13/23=0.6 15/20=0.75 14/19=0.73

Average placement= (P1 + P2 + P3)/3 (0..57+0.75+0.73)/3=0.68

Assessment Points = 20 × average placement 20x0.69=13.66

Table: 3.3.1

3.3.1a. Provide the placement data in the below mentioned format with the name of the program and the

assessment year:

Programs Name and Assessment Year – M.Tech.(Power Electronics and Drive) – 2017-18

S.

No. Name of the student placed Enrollment no. Name of the Employer

Appointment

Letter reference

no. with date

1 Shivam Kumar Yadav 31604305 Pursuing Ph.D -

2 Prashant Kumar Singh 31604306 Govt. Job -

3 Bogineni Jayachandra 31604307 Job -

4 Vuluvala Madhusudhan Reddy 31604308 Job -

5 Umesh Baboo 31604309 Govt. Job -

6 Rahul Choudhary 31604311 Job -

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7 Rajni Kumari 31604313 Pursuing Ph.D . -

8 Asari Nagendra 31604314 Teaching -

9 Rohit Kumar Rastogi 31604316 Pursuing Ph.D . -

10 Pothuraju Ramakrishna 31604317 Pursuing Ph.D .. -

11 Jyoti Aswal 31604318 Job -

12 Manisha Kaushik 31604321 Job -

13 Anupam Shukla 31604322 Pursuing Ph.D . -

14 ManjulOkte 31604323 Govt. Job -

Programs Name and Assessment Year – M.Tech.( Power Electronics and Drive) – 2018-19

S.

No.

Name of the student

placed Enrollment no. Name of the Employer

Appointment

Letter

reference no.

with date

1 Mukesh Kumar 31704303 Job -

2 Ruchita Pandey 31704304 Govt. Job -

3 Robin Chola 31704306 Govt. Job -

4 Deepak Sharma 31704307 Job -

5 Kanchan Jha 31704308 Pursuing Ph.D . -

6 Prashant Mishra 31704310 Job -

7 Ravi Kant Sharma 31704311 Job -

8 Ravina Kharedia 31704312 Govt. Job -

9 Shikha Gautam 31704313 Govt. Job -

10 Bipin Kumar Nishad 31704314 Job -

11 Sumit Kumar 31704315 Pursuing Ph.D . -

12 Ankit Raj 31704316 Job -

13 Sanjay Kumar Kakodia 31704317 Pursuing Ph.D . -

14 Upendra Singh 31704319 Job -

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15 Chetan Kumar Sharma 31704102 Job -

Programs Name and Assessment Year – M.Tech.( Power Electronics and Drive) – 2019-20

S. No. Name of the student placed Enrollment

no. Name of the Employer

Appointment

Letter reference

no. with date

1 Ravindra Kumar 31804304 Govt. Job -

2 Kona Siva Naga Raju 31804307 Job -

3 Yogesh Kumar 31804308 Govt. Job -

4 Pooja Kumari 31804309 Pursuing Ph.D . -

5 Vikas Kumar Tiwari 31804310 Job -

6 Manasa Gade 31804312 Job -

7 Anand Yadav 31804313 Govt. Job -

8 Dharavath Narender 31804315 Job -

9 Abhishek Saini 31804319 Job -

10 Gangireddy Nagarjuna Reddy 31804101 Job -

11 Siddharth Singh 31804110 Job -

12 Vipin Kumar Dhiman 31804115 Job -

13 S. Arun Naik 31804202 Job -

Table 3.3.1c

3.2. Professional Activities (15)

3.4.1 Student’s participation in Professional societies/chapters and organizing engineering events (5)

Students organized /participated in

2020-21 (CAY)

Program title Duration

Ten days training program on the MATLAB software 17th March to 26th March, 2021

Smart Grid: Operation & planning with Renewable Energy 29-07-2020 to 02-08-2020

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Sources and FACTS (SGOPRES-2020)

TEQIP-III, International Conference, on Smart Grid Energy

Systems and Control,

19-21 March, 2021

National Conference on Renewable Energy and Sustainable

Environment (NCRESE-2020)

28-29 August 2020

2019-20(CAYm1)

Program title Duration

National Conference on Renewable Energy and Sustainable

Environment 30-31, August 2019

Power System Operation, Control & Planning with Renewable Energy

Sources (PSORE-2019) 03 July to 07 July, 2019

STTP on Green Energy Technologies for Sustainable Development June 11-20, 2020

IEEE International Conference on Measurement, Instrumentation,

Control and Automation (ICMICA) June 24-26, 2020

2018-19 (CAYm2)

Program title Duration

Workshop on PC Based Transducer Kit Aug. 20,2018

PIICON 2018

IEEE 8th Power India International Conference

Dec. 10-12, 2018

FDP on Artificial Intelligence and Machine Learning” jointly with E&

ICT Academy

Dec. 17-21, 2018

Workshop on Ladder of research Feb. 27-28,2019

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Student’s publications (10)

2020-21 (CAY)

1. Akash Rai and Sunita Chauhan, “A case study of Unified Power Quality Conditioner (UPQC) for

societal issues,” International Conference on “Latest Trends in Civil, Mechanical and Electrical

Engineering (LTCMEE-2021) at MANIT, Bhopal, 12-13 April 2021.

2. Akash Rai and Sunita Chauhan, “A Case study of Photovoltaic array integrated Unified Power Quality

Conditioner for societal issues,” International Conference on Communication, Control and Information

Sciences (ICCISc), pp. 1-6, June 2021 .

3. Priyesh Saini, Ratna Dahiya, “Load Forecasting through Deep Neural Network Model and Smart Meter

Data Analytics”, International Conference on “Latest Trends in Civil, Mechanical and Electrical

Engineering (LTCMEE-2021) at MANIT, Bhopal, 12-13 April 2021.

4. Shailesh Kumar, Shashi Bhushan Singh, “Brushless DC Motor Stimulated Solar Photovoltaic Array

Fed Water Pumping System Making use of Boost-converter”, Latest Trends in Civil, Mechanical and

Electrical Engineering (LTCMEE-2021) at MANIT, Bhopal, 12-13 April 2021.

5. Shailesh Kumar, Shashi Bhushan Singh, “Interleaved boost converter based BLDC motor drive Solar

PV Array Fed Water Pumping System”, ICRTEM 2021, R.R Institute of Technology 20-21 August

2021.

6. Dhirendra Kumar Gupta, Dr. Shelly Vadhera, “Power Factor Correction by PFC Boost Topology Using

Artificial Neural Network Controller”, 2nd International Conference on Chemical, Bio and

Environmental Engineering, CHEMBIOEN 2021, Springer.

7. Dhirendra Kumar Gupta, Dr. Shelly Vadhera, "DC-link Voltage Control of an On-Board Electric

Vehicle Charger using Artificial Neural Network Controller", IEEE 9TH International Conference on

Advancement in Engineering and Technology, ICAET-2021.

8. Priyanka Verma, Dr. Shivam, “clamped resonant converter for renewable energy system”, Latest

Trends in Civil, Mechanical and Electrical Engineering (LTCMEE-2021) at MANIT, Bhopal, 12-13

April 2021.

9. Vipin Kumar Dhiman and Dr Shivam, “Dual Mode WECS-Based Two-Stage Hierarchical Control of

Hybrid Microgrid," National Conference on Renewable Energy and Sustainable Environment

(NCRESE-2020), Kurukshetra, India, 2020, 28-29 August 2020..

10. S. Kumar, “Cost-Based Unit Commitment in a Stand-Alone Hybrid Microgrid with Demand Response

Flexibility,” Journal of The Institution of Engineers (India), Springer, 2021.

11. S. Arun Naik, G. L. Pahuja, Prakash Kulkarni, "An Intelligent Control Technique-Based DTC of

BLDC Motor Using New Multi-level Inverter", National Conference on Renewable Energy and

Sustainable Environment (NCRESE-2020), Kurukshetra, India, 2020, 28-29 August 2020..

12. Anand Yadav and Shelly Vadhera, “Comprehensive updates on various fast charging technology for

electric vehicles”, National Conference on Renewable Energy and Sustainable Environment (NCRESE-

2020), Kurukshetra, India, 28-29 August 2020.

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2019-20 (CAYm1)

1. Vipin Kumar Dhiman and Dr Shivam, "Enhanced Two-stage Coordination Control of AC/DC Hybrid

Microgrid," 2020 IEEE 9th Power India International Conference (PIICON), SONEPAT, India, 2020,

28 Feb-01 Mar 2020.

2. Dharavath Narender, KS Sandhu, Prakash A Kulkarni and Sujendra N, "Performance of Motor Drive

System using Ultracapacitor," 2020 First IEEE International Conference on Measurement,

Instrumentation, Control and Automation (ICMICA), June 24 – 26, 2020.

3. Saumya Tripathi, Rupanshi batra "Operation and control of single phase front end converter" 2020

First IEEE International Conference on Measurement, Instrumentation, Control and Automation

(ICMICA), June 24 – 26, 2020.

4. Kumar S., Pahuja G.L. (2021) Optimal Power Dispatch of Renewable Energy-Based Microgrid with

AC/DC Constraints. In: Gupta O.H., Sood V.K. (eds) Recent Advances in Power Systems. Lecture

Notes in Electrical Engineering, vol 699. Springer, Singapore.

5. Ravindra Kumar, K.S. Sandhu, K.K.Sharma, "Control strategy of Bi-directional energy transfer for

electrical vehicle," 2020 First IEEE International Conference on Measurement, Instrumentation,

Control and Automation (ICMICA), June 24 – 26, 2020.

6. Siddharth Singh and Ashwani Kumar, Network Constrained AC/DC Economic Dispatch for DER

Based Microgrid, presented in IEEE PIICON 2020 at DCRUST Murthul on 28 Feb-01 Mar 2020.

7. Siddharth Singh and Ashwani Kumar, Economic dispatch for multi heat-electric energy source based

microgrid, presented in IEEE PIICON 2020 at DCRUST Murthal on 28 Feb-01 Mar 2020.

8. Anand Yadav and Shelly Vadhera, “An efficient onboard charging of electric vehicle using Vienna

rectifier and synchronous buck topology ”, First IEEE International Conference on Measurement,

Instrumentation, Control and Automation (ICMICA 2020), NIT, Kurukshetra, India, June 24 – 26,

2020.

9. Saini, Abhishek; Saini, Lalit Mohan; "Determination of Electrical Parameters for Surface Mounted

Permanent Magnet Synchronous Motor" First IEEE International Conference on Measurement,

Instrumentation, Control and Automation (ICMICA 2020), NIT, Kurukshetra, India, June 24 – 26,

2020.

10. Robin Chola, Shashi Bhusan Singh, “A CASE STUDY ON 24-HOUR SIMULATION OF V2G

SYSTEM”, National Conference on Renewable Energy and Sustainable Environment (NCRESE-2019)

NIT Kurukshetra, August 30-31, 2019.

11. Robin Chola, Shashi Bhusan Singh, “A review on Bidirectional DC-DC converters for G2V & V2G

operation”, National Conference on Renewable Energy and Sustainable Environment (NCRESE-2019),

August 30-31, 2019.

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2018-19 (CAYm2)

1. A. Raj and R. Sharma, "Improved Direct Torque Control for Induction Motor in Electric Vehicle

Application," 2018 IEEE 8th Power India International Conference (PIICON), Kurukshetra, India,

2018, pp. 1-5.

2. B. K. Nishad and R. Sharma, "Induction Motor Control using Modified Indirect Field Oriented

Control," 2018 8th IEEE India International Conference on Power Electronics (IICPE), JAIPUR,

India, 2018, pp. 1-5.

3. B. K. Nishad, Ankit Raj and R. Sharma, "Improved IFOC control of Induction Motor for EV

Applications," 2018 8th IEEE International Conference on Intelligent Computing and Control Systems

(ICICCS 2019), MADURAI, India, 2019, pp. 1-5.

4. P. Mishra and A. Mahesh, "Sine cosine algorithm based staircase modulation for cascaded H-bridge

inverter," 2019 3rd International conference on Electronics, Communication and Aerospace

Technology (ICECA), Coimbatore, India, 2019, pp. 914-919.

5. S. Gautam and M. Aeidapu, "Sine Cosine Algorithm Based Shunt Active Power Filter For Harmonic

Compensation," 2019 3rd International conference on Electronics, Communication and Aerospace

Technology (ICECA), Coimbatore, India, 2019, pp. 1051-1056.

6. Ravi Kant Sharma &Shivam “Performance Analysis of Multilevel Inverter based on SVPWM for

Renewable Energy Sources” International IEEE Conference on Signal Processing and Integrated

Networks, 7-8 March 2019.

7. Ravi Kant Sharma &Shivam “Performance Analysis of Multilevel Inverter using SVPWM technique

used for solar water pumping” International IEEE Conference on advance in Electronic, Electrical,

Computational Intelligence, May 31-1 June 2019.

8. T. R. Sharma and Y. Pal, "Direct Torque Control of BLDC Drives With Reduced Torque

Pulsations," 2019 3rd International conference on Electronics, Communication and Aerospace

Technology (ICECA), Coimbatore, India, 2019, pp. 1242-1247.

9. S. Kumar and Y. Pal, "A Three-Phase Asymmetric Multilevel Inverter for Standalone PV

Systems," 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN),

Noida, India, 7-8 March 2019, pp. 357-361.

10. U. Singh, Y. Pal, S. Nagpal and G. Sarkar, "Single-Phase On-Board Integrated Bi-Directional Charger

with Power Factor Correction for an EV," 2019 6th International Conference on Signal Processing and

Integrated Networks (SPIN), Noida, India, 7-8 March 2019, pp. 716-721.

11. U. Singh, Y. Pal, S. Nagpal and G. Sarkar, "Three-Phase On-Board Integrated Bidirectional EV Battery

Charger with Power Factor Correction," 2019 6th International Conference on Signal Processing and

Integrated Networks (SPIN), Noida, India, 7-8 March 2019, pp. 335-340.

12. Chetan Kumar Sharma, Sathans "Comparative Analysis of Multi-carrier PWM Methodologies for 3-

Phase 9-Level Cascade Inverter" Proceedings of the International Conference on Advances in

Electronics, Electrical & Computational Intelligence (ICAEEC) 2019

13. Md Mojibur Rahaman, K.S.Sandhu, “ Energy efficient magnetic materials for electrical machines” IEEE

conference, ICACCS 2019

14. Surbhi Walia, K.S.Sandhu, “ Capacity factor of wind turbine system based on different power curves and

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Weibull distribution parameters’ , IEEE conference, ICCMC 2019

15. Priya Gupta , K.S.Sandhu, “ Performance analysis of solar panel under different operating conditions” , IEEE

conference, ICECA 2019.

16. Shivani, K.S.Sandhu, Anil Ramachandran Nair, “ A comparative study of ARIMA and RNN short term wind

speed forecasting, IEEE conference, ICCCNT 2019

17. Shivani, K.S.Sandhu, Anil Ramachandran Nair, “Machine learning approach for short term wind speed

forecasting” , IEEE conference, ICACCE 2019

18. Jha K., Dahiya R. (2020) Comparative Study of Perturb & Observe (P&O) and Incremental

Conductance (IC) MPPT Technique of PV System. In: Dutta D., Mahanty B. (eds) Numerical

Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979.

Springer, Singapore

19. Jha, K., & Dahiya, R. (2020). Direct Torque and Flux Control of PV Connected Permanent Magnet

Synchronous Machine. SSRN Electronic Journal, 1–9

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CRITERION 4 Faculty Contributions 75

N

am

e o

f th

e F

aculty M

em

ber

Qualification

Associa

tion w

ith t

he I

nstitu

tion

D

esig

nation

Date

on w

hic

h D

esig

nate

d a

s

Pro

fessor/

Associa

te P

rofe

ssor

Date

of Jo

inin

g t

he I

nstitu

tion

D

epart

ment

Specia

lization

Academic Research

Curr

ently A

ssocia

ted (

Y/N

)

Date

of Leavin

g (

In c

ase

Curr

entl

y

Ass

ocia

ted is

(“N

o”)

Natu

re o

f

Associa

tion

(Regula

r/Contr

act)

Researc

h P

aper

Publications

Ph.D

. G

uid

ance

Faculty R

eceiv

ing P

h.D

.

during t

he A

ssessm

ent

Years

D

egre

e (

hig

hest

degre

e)

U

niv

ers

ity

Year

of G

raduation

Note: Please provide details for the faculty of the department, cumulative information for all the shifts for all academic years

starting from current year in above format in Annexure – II (Attached).

Student-Faculty Ratio (SFR)(10)

(To be calculated at Department Level)

No. of UG Programs in the Department (n): One: [B. Tech. (Electrical Engineering)]

No. of PG Programs in the Department (m): Three: [M. Tech. Electrical Engineering(Control System),

(Power System), (Power Electronics and Drives) ]

No. of Students in UG 2nd Year= u1

No. of Students in UG 3rd Year= u2 No. of Students in UG 4th Year= u3 No. of Students in PG 1st Year= p1 No. of Students in PG

2nd Year= p2

No. of Students = Sanctioned Intake + Actual admitted lateral entry students

(The above data to be provided considering all the UG and PG programs of the department)

S=Number of Students in the Department = UG1 + UG2 +.. +UGn + PG1 + …PGm

F = Total Number of Regular Faculty Members in the Department (excluding first year faculty)

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Student Teacher Ratio (STR) = S/F

Year CAY

2020-21

CAYm1

2019-20

CAYm2

2018-19

u1.1 B. Tech. (Electrical Engineering) 154 140 140

u1.2 B. Tech. (Electrical Engineering) 140 140 140

u1.3 B. Tech. (Electrical Engineering) 140 140 140

UG1B. Tech. (Electrical Engineering) 434 420 420

p1.1 [M. Tech. Electrical Engineering(Control system)] 25 25 20

p1.2[M. Tech. Electrical Engineering(Control system)] 25 20 20

PG1[M. Tech. Electrical Engineering(Control system)] 50 45 40

p2.1[M. Tech. Electrical Engineering(Power system)] 25 25 20

p2.2[M. Tech. Electrical Engineering(Power system)] 25 20 20

PG2[M. Tech. Electrical Engineering(Power system)] 50 45 40

p3.1[M. Tech. Electrical Engineering(Power Electronics and

Drives)] 25 25 20

p3.2[M. Tech. Electrical Engineering(Power Electronics and

Drives)] 25 20 20

PG3[M. Tech. Electrical Engineering(Power Electronics and

Drives)] 50 45 40

Total No. of Students in the Department (S) 584 555 540

Total Faculty 32 32 33

Faculty deducted for first Year 3 3 3

No. of Faculty in the Department (F) 29 29 30

Student Faculty Ratio (SFR) 20.13 19.13 18

Average SFR 19.08

Table 4.1

Markstobegivenproportionallyfromamaximumof10toaminimumof05foraverage SFR

between 15:1 to 25:1, and zero for average SFR higher than 25:1. Marks distribution

is given asbelow:

<=15 - 10Marks

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<=17 - 09Marks

<=19 - 08Marks

<=21 - 07Marks

<=23 - 06Marks

<=25 - 05Marks

>25.0 - 0Marks

Note: Minimum75%shouldbeRegular/FullTimefacultyandtheremainingshallbeContractualFaculty* as per AICTE norms andstandards.

*The contractual faculty (doing away with the terminology of visiting/adjunct faculty, whatsoever)

whohavetaughtfor2consecutivesemestersinthecorrespondingacademicyearon full time basis shall be considered for the purpose of

calculation in the Student FacultyRatio.

4.1.1. Provide the information about the regular and contractual faculty as per the format

mentioned below:

Total number of regular faculty in

the department

Total number of contractual

faculty in the department

CAY 29 3

CAYm1 29 3

CAYm2 30 3

Table 4.1.1

Faculty competencies in the area of Program specialization(30)

(Relevant faculty information, in the area of Program specialization)

Faculty name and specialization for the program under consideration(10)

Table 4.2.1.1

Name of the faculty Relevant Area of Specialization

2020-21 2019-20

K S Sandhu

Electrical Machines & Drives,

Renewable Energy (Wind &

Solar), Distributed Generation,

Power Quality, Power System

Electrical Machines & Drives,

Renewable Energy (Wind &

Solar), Distributed Generation,

Power Quality, Power System

L M Saini

(Analog, Digital, Power)

electronics, Embedded systems

and application areas of interest

are Power system, Biomedical

Engineering and Power

Electronics

(Analog, Digital, Power)

electronics, Embedded systems

and application areas of interest

are Power system, Biomedical

Engineering and Power

Electronics

Yash Pal Power Quality, Custom Power

Devices and Renewable Energy

Sources

Power Quality, Custom Power

Devices and Renewable Energy

Sources

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K K Sharma Power Electronics, Electric

Drives, and Renewable Energy

Power Electronics, Electric

Drives, and Renewable Energy

Rahul Sharma Power Electronics, Electric

Drives, and Renewable Energy,

Microgrid

Power Electronics, Electric

Drives, and Renewable Energy,

Microgrid

Shashi Bhushan Singh Power Quality, Renewable

Energy, MPPT Solar, Electric

Vehicle

Power Quality, Renewable

Energy, MPPT Solar, Electric

Vehicle

Shivam Power Quality issues in DC and

AC Microgrid with Renewable

Energy Sources

Power Quality issues in DC and

AC Microgrid with Renewable

Energy Sources

K K Jaladi Power Electronics and Drives,

Electrical Machines &

Renewable Energy

Power Electronics and Drives,

Electrical Machines &

Renewable Energy

Kulbir Singh Electronics & Communication

Engineering, Power Electronics

Electronics & Communication

Engineering, Power Electronics

Faculty Research Publication (10)

Name of the faculty

Academic Research

Number of quality publications in

refereed/SCI Journals, citations, Books/Book

Chapters etc.

Ph.D. guided /Ph.D. awarded

during the assessment period

while

working in the institute

2020-21 2019-20 2018-19 2020-21 2019-20 2018-19

K S Sandhu 01 04

1 books

03 1 2 2

L M Saini 03

1 books

01 01 0 0 1

Yash Pal 0

1 book

04

2 books

06 1 0 0

K K Sharma 0 0 0 0 0 0

Rahul Sharma 0 0 03 0 0 0

Shashi Bhushan Singh 0 0 0 0 0 0

Shivam 0 0

02 0 0 0

K K Jaladi 0 04 02 0 0 0

Kulbir Singh 0 0 0 0 0 0

Table 4.2.2.1

Faculty Development work(10)

Faculty as participants in Faculty development/training activities/STTPs(5)

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(Mention details such as program title, description, duration, resource person, type of training, training methodology,

participants, etc.). Mention details separately for the programs organized and the programs participated outside the

institution)

Programs organized 2020-21 (CAY)

Faculty

Coordinator

program title duration resource person type of

training

training methodology participants

Rahul Sharma

Renewable Energy

and Sustainable

Environment

Two Days Resource person

from Industry, R&D

& IITs/NITs

National

Conference

Key Talks and Paper

presentation sessions

60

Shashi Bhushan

Singh

Renewable Energy

and Sustainable

Environment

Two Days Resource person

from Industry, R&D

& IITs/NITs

National

Conference

Key Talks and Paper

presentation sessions

60

Programs organized 2019-20 (CAYm1)

Faculty

Coordinator

program title duration resource person type of

training

training

methodology

participants

Rahul Sharma

Smart Grid Energy

Systems and Control

(SGESC-2021)

Two Days Resource person

from Industry,

R&D & IITs/NITs

International

Conference

Key Talks and Paper

presentation

sessions

100

Rahul Sharma

Challenges in Grid

Integration with

Renewable Energy

Sources

One Week Resource person

from Industry,

R&D & IITs/NITs

Lectures and

Online

training

Session

Discussion with PPT

and lab session

150

Shashi Bhushan

Singh

IEEE International

Conference on

Measurement

Instrumentation

Control and

Automation

Three Days Resource person

from Industry,

R&D & IITs/NITs

International

Conference

Key Talks and Paper

presentation

sessions

130

Rahul Sharma

Productivity

Enhancement Program

One Week Resource person

from Relevant

areas

Workshop Live Yoga and

meditation Sessions

and Keynotes

50

Rahul Sharma

Solar

Photovoltaic

Installation

One Week Resource person

from Industry,

R&D & IITs/NITs

Short Term

Course

Discussion with PPT

and lab session

60

Rahul Sharma

Waste Management

& Sustainable

Environment

One Week Resource person

from Industry,

R&D & IITs/NITs

Short Term

Course

Discussion with PPT

and lab session

50

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Programs organized 2018-19 (CAY)

Faculty

Coordinator

program title duration resource person type of

training

training

methodology

participants

Rahul Sharma

Reliability

Engineering &

Applications

25th September

18

Prof. Om Yadav Thrust areas in

reliability

Discussion with

PPT

20

Collaborative

Research

Workshop

8-9 May 2019 Faculty from NIT

Kurukshetra

How to write a

good research

proposal

Discussion with

PPT

30

ECRE-19 08-12 July Resource person

from Industry, R&D

& IITs/NITs

Lectures and

hands on

training

Discussion with

PPT and lab

session

28

Shashi Bhushan

Singh

APCI-19 15-19 July Resource person

from Industry, R&D

& IITs/NITs

Lectures and

hands on

training

Discussion with

PPT and lab

session

23

ECRE-19 08-12 July Resource person

from Industry, R&D

& IITs/NITs

Lectures and

hands on

training

Discussion with

PPT and lab

session

28

A Mahesh

Reliability

Engineering &

Applications

25th September

18

Prof. Om Yadav Thrust areas in

reliability

Discussion with

PPT

20

Programs participated 2020-21 (CAY)

Faculty

Participants

program title duration resource person type of training training

methodology

participants

K. K. Sharma

International Conference on

Latest trends in Civil,

Mechanical and Electrical

Engineering (LTCMEE – 2021)

Two Days Resource person

from Industry,

R&D & IITs/NITs

International

Conference,

MANIT Bhopal

Key Talks and

Paper

presentation

sessions

100

Programs participated 2019-20 (CAYm1)

Faculty

Participants

program title duration resource

person

type of

training

training methodology participants

- - - - - - -

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Programs participated 2018-19 (CAYm2)

Faculty

Participants

program title duration resource

person

type of training training

methodology

participants

Rahul Sharma

International

Workshop on energy,

power & environment

17-19

march

2019

Delegates

from Foreign

and IITs/NITs

Recent

advancements

and thrust areas

Discussion with PPT

and prototype

demonstrations

150

Shivam

PC Based Opal-RT

Simulator

13th-14th

February

2019

One Person

from Opal-RT

Simulation with

hardware

Discussion with PPT

& Training by OPAL-

RT with Hardware

12

Research and Development(30): NIL

Sponsored Research(15) Funded research from outside; considering faculty members contributing to the program: (Provide a list with

Project Title, Funding Agency, Amount and Duration)

Funding Amount (Cumulative for CAYm1, CAYm2 and CAYm3):

Amount>50Lacs 15Marks,

Amount >40 and<50 Lacs 10Marks,

Amount >30 and<40 Lacs 5Marks,

Amount >15 and<30Lacs 2Marks,

Amount<15Lacs 0Mark

During the Assessment period no substantial amount consultancy work has been carried out by the faculty related to program

Consultancy (from Industry)(15)

Considering faculty members contributing to the program:

(Provide a list with Project Title, Funding Agency, Amount and Duration)

Funding Amount (Cumulative for CAYm1, CAYm2 and CAYm3): Amount

>10Lacs 15Marks,

Amount <10 and>8Lacs 10Marks,

Amount <8 and >6Lacs 8Marks,

Amount <6 and>4Lacs 5Marks,

Amount <4 and>2Lacs 2Marks,

During the Assessment period no substantial amount consultancy work has been carried out by the faculty related to program

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CRITERION 5 LABORATERIES AND RESEARCH FACILTIES 75

5.1 Adequate and well equipped laboratories in area of program specialization (30)

Recently facilities have been upgraded to provide experiment facility to M.Tech students. The details are as under:

S.No. Name of Laboratory

Specialized equipment

Equipment’s details Utilization details from the prospective of PO attainment

1 Advance Power

electronics & Embedded

lab

PLC Trainer Kit PLC Trainer Kit with three experimental setup are used to speed

control of dc and ac motor setup and dynamic breaking of three phase induction motor.

For PG (Lab)

- Do-

Wavect 300 prototype controller

Real time prototype controller is

available with 48 PWM switches and number of voltage and current

sensor are in build so it is used for building real time controller for project work.

For PG (Lab)

- Do- PIC Microntroller Kit

Evaluation board of PIC Microcontroller are used to perform

speed control of motor, relay ON-OFF, LED ON-OFF, seven segment

display and user can perform own project work.

For PG (Lab)

- Do-

1 ɸ Power

Quality Analyzer (Fluke)

Analyzer (Fluke 43B) is single phase power quality and energy analyzer

are used to measure power quality parameter. And, the 43B analyzer’s

measurement process and data output have been used to access the most critical information easily

for research work

For PG (Lab)

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- Do-

3ø Power Quality Analyzer (Hioki)

Three phase power quality and energy analyser are used to measure

power quality parameter. And, the analyzer’s measurement process and data output have been used to access

the most critical information easily for research work.

For PG (Lab)

- Do-

Digital storage

oscilloscope

This equipment stores and analyses

the signal digitally rather than using

analog techniques. It is used

because of the advanced trigger,

storage, display and measurement

features.

For PG (Lab)

- Do- Function generator

Function Generator provides a

waveform generation tool used in

different experiments.

2 Power

electronics Lab

4-Channel Analyzer

This is the ideal measurement

solution for applications such as

product efficiency testing,

engineering, R&D work on inverters,

motor drives, lighting systems and

electronic ballasts, UPS systems,

aircraft power systems, transformer

testing and other power conversion

devices.

For PG (Lab)

-Do-

Frax firing circuit

This is used to control the firing

angle i.e, to manage the point on the

AC signal waveform when the SCR is

going to be triggered

For PG (Lab)

-Do-

Power electronic trainer

This kit is well equipped with

equipment’s and trainer kits to demonstrate practical from

fundamentals to high level concepts to the students.

For PG (Lab)

-Do-

Digital storage oscilloscope

This equipment stores and analyses

the signal digitally rather than using

analog techniques. It is used because

of the advanced trigger, storage,

display and measurement features.

For PG (Lab)

-Do-

Function generator

Function Generator provides a

waveform generation tool used in

different experiments.

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-Do-

Regulated power supply

Its function is to supply a stable

voltage (or less often current), to a

circuit or device that must be

operated within certain power supply

limits.

-Do-

LCR meter

It can measure six basic parameters,

they are Inductance L, Capacitance

C, Resistance R, Impedance |Z|,

Dissipation Factor D and Quality

Factor Q.

-Do-

DC-DC buck boost

The Buck boost power stage is

chosen because the output voltage is

inverted from the input voltage and

the output voltage can be either

higher or lower than the input

voltage

-Do-

3 level diode multi level inverter

A multilevel inverter is a power

electronic device which is capable of

providing desired alternating voltage

level at the output using multiple

lower level DC voltages as an input

Dissertation of PG

-Do-

Single phase dual converter

It is a power electronics control

system to get either polarity DC from

AC rectification by the forward

converter and reverse converter.

-Do-

3 phase 5 level cascade inverter

The converters have to design to

obtain quality output voltage or a

current waveform with a minimum

amount of ripple content.

Model NO-PEC16DSMO10

Make-VI Microsystems

For PG (Lab)

-Do-

DC-DC inverter converter

A DC-to-DC converter is an

electronic circuit or

electromechanical device that

converts a source of direct current

(DC) from one voltage level to

another.

-Do-

25 KW IGBT based power module

25 KW IGBT based power module is

utilized for research applications

Dissertation of PG

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-Do-

3 phase dual converter It is a power electronics control

system to get either polarity DC from

AC rectification by the forward

converter and reverse converter

Model no- PEC20M3 Make- Vi

Microsystems

-Do-

3 phase voltage source inverter

3 phase voltage source inverter

refers to a power electronic device

that converts power in DC form to AC

form at the required frequency and

voltage output.

Dissertation of PG

-Do-

Single phase half & fully control SCR

Rectification converts an oscillating

sinusoidal AC voltage source into a

constant current DC voltage supply

by means of diodes, thyristors,

transistors, or converters.

Model no- VPE-101M Make-

Vijayanta

For PG (Lab)

-Do-

3 phase half & fully controlled SCR

Rectification converts an oscillating

sinusoidal AC voltage source into a

constant current DC voltage supply

by means of diodes, thyristors,

transistors, or converters.

Model no- VPE-100M Make-

Vijayanta

For PG (Lab)

-Do- 3 phase & 1 phase cycloconverter

It is utilized to generate desired

frequency

For PG (Lab)

-Do- SOLAR panel with inverter and battery

It is utilized to study charging and

discharging battery using solar panel

and inverter.

For PG (Lab)

3 Machine

and drive

lab

Speed Software PC- IMD3.0

All SPEED software now supports

Microsoft scripting/automation so

that SPEED programs can be run

from Matlab™, Visual Basic™, or

other Windows™ applications.

This brings powerful new capabilities

to the SPEED user:

• SPEED programs can be used for

many new calculations for which they

are not inherently programmed

• Optimization algorithms can be

written around the SPEED programs.

User-specific procedures can be

For PG (Lab)

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completely proprietary.

• Access to all SPEED's input and output parameters and procedures

-Do-

Digital multimeter with storage adapter

This multimeter having accuracy of

0.05% with Automatic Blocking

System (ABS), Protective Rubber

Holster for rough duty and having

Analog scale (Bar Graph) and Auto

Ranging/ Manual Mode. It can be

interfaced using RISHCOM 100

software with PC

For PG (Lab)

-Do-

3ø Power Quality Analyzer (Fluke)

Fluke 435-II is three phase power

quality and energy analyser are used

to measure power quality parameter.

And, the 435-II analyzer’s

measurement process and data

output have been used to access the

most critical information easily for

research work.

For PG (Lab)

-Do-

Digital L C R Q Bridge

This is electronic test equipment

used to measure the inductance (L),

capacitance (C), and resistance (R)

of an electronic component.

-Do-

Opal -RT Simulator

OPAL-RT is the PC/FPGA-based

real-time simulators, Hardware-in-

the-Loop (HIL) testing equipment

and Rapid Control Prototyping (RCP)

systems to design, test and optimize

control and protection systems used

in power grids, power electronics,

motor drives, automotive, trains,

aircraft.

-Do-

D Space

DSpace is an open source

repository software package typically

used for creating open access

repositories for scholarly and/or

published digital content. While

DSpace shares some feature overlap

with content management systems

and document management

systems, the DSpace repository

software serves a specific need as a

digital archives system, focused on

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the long-term storage, access and

preservation of digital content.

-Do-

Mixed signal oscilloscope

A mixed signal oscilloscope (MSO) is

a type of digital storage

oscilloscope designed to display and

compare both analog signals and

digital signals. It has input channels

for both analog signals and digital

signals.

Analog signals are displayed as

voltage levels varying continuously

over time. These voltage-versus-time

waveforms are traditionally

measured using oscilloscopes.

Signals may be connected directly to

the oscilloscope’s analog input

channels or connected through an

oscilloscope probe.

-Do-

DC M/c- Sync.Motor set

details of Synchronous machine

Rated Voltage=400V Rated

Current=13.5A Power =7.5 kW

Rated Speed=1500rpm

details of DC Machine

Rated Voltage=230V Rated

Current=21.7A Power =5 kW

Rated Speed=1500rpm

This experiment setup is used to

conduct the maximum lagging

current test on the machine running

as a motor and for Estimation of the

value of Xq of the synchronous

machine.

To obtain V- curves for synchronous

machine

-Do-

Induction Motor

Name plate details of Induction

motor Rated Voltage= 230V Rated

Current= 3.1A Power = 1 HP

Rated Speed=1440 rpm

this experiment is to start, run and

reverse a single-phase capacitor

start induction motor to find series

and shunt parameters of its

equivalent circuit by performing

blocked rotor and no-load or light

test respectively

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-Do- 1Ph Cap Start Induction motor

Rated Voltage=400V Rated Current=

3.1 A Power = 3HP

Rated Speed=1440rpm

This machine is used to conduct no-

load test and block rotor test.

-Do-

Schrage motor

Name plate details of Schrage Motor

Voltage: 400 V Rated Current: 24 A

kW Rating : 3.3-10

Speed Range: 700-2100 rpm

The working of Schrage motor is to

be studied. The effect of injected emf

in electrical machines is to be

observed practically

-Do-

DC M/c Sq.Cage &slipring motor

DC MOTOR

Voltage- 220V Current- 8.6 A

Speed- 1440 rpm

Kw/HP- 2.2

This experiment set is used to

conduct direct load test on DC

Compound generator with

(a) Shunt field alone

(b) Cumulative and differential

compounding for short shunt Connections.

For PG (Lab)

-Do-

3 Ph Induction Motor & DC M/c set

Details

of DC motor

Rated Voltage=230V Rated

Current=15A Power =3.5BHP

Rated Speed=1440rpm

Name plate details of Alternator

Voltage: 230 V

Rated Current: 34.1 A kVA Rating :

7.5 kVA Rated speed =1800rpm

This experiment set is used to

control the speed of the DC series

motor by implementing the static

control technique. The main

objective of the experiment is to

practically implement the static

control technique on DC series motor

and to draw the characteristics of DC

series motor using torque

transducer.

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-Do-

DC Series Motor Gen set

Current rating -13.0A Voltage-220 V

Speed -1450rpm. This experiment

set is used to study the three-point

starter for DC machine speed control

of DC shunt motor using armature

and field control plot the variation of

speed with added resistance.

For PG (Lab)

-Do-

DC Motor 3HP

Speed=1500rpm Voltage=230V

Current=13 amp Power=3 HP

This machine is used to obtain

magnetization characteristics of a DC

machine. Estimate field circuit

resistance of a DC shunt generator at

rated speed. Measure field winding

and armature winding resistance.

Plot the external characteristics of

DC shunt generator.

For PG (Lab)

-Do-

DC M/c & DC M/c set 3HP

Rated current=12.5 A Primary

voltage =400V Secondary

voltage=230/115V Primary

current=4.33 amp KVA=3

To conduct open circuit and short

circuit tests on a three phase three

winding transformer and to

determine the equivalent circuit

parameters in per unit.

-Do-

3 Ph Transformer (3 Winding) 3KVA

Rating =2KVA Frequency=50Hz LV

Voltage =230V HV Voltage =230V

Rating =1KVA Frequency=50Hz LV

Voltage =230V HV Voltage =230V

To conduct Sumpner’s test on two

identical single phase transformer

and determine their efficiency at

various loads

To make Scott connection of two

single phase transformer and to

verify the current relation by drawing

phasor diagram for balanced and

unbalanced resistive load condition.

-Do-

DC Rectifier 3Ph.30 Amps

This equipment comprises of rectifier

set and utilized for providing the dc

supply to various DC MACHINE.

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-Do- 3 Ph Variable 30/15 Amp

This equipment is utilized to

provide variable supply in different

experiments.

-Do- 1PH Transformer 1&2 KVA

This item is used as inductive load in

different applications

-Do- Rheostats

Different range of 9 Ω to 1000 Ω

resistance of different current rating

is utilized in different applications.

-Do-

3 PH Induction motor 10 Amp

Name plate details of Induction

motor Rated Voltage= 230V Rated

Current= 3.1A Power = 1 HP

Rated Speed=1440 rpm

this experiment is to start, run and

reverse a single-phase capacitor

start induction motor to find series

and shunt parameters of its

equivalent circuit by performing

blocked rotor and no-load or light

test respectively

-Do-

MATLAB Software

It is utilized to simulate and analysis

of power electronic circuit applying in

different applications

For PG (Lab) and Dissertation of PG

-Do-

PSIM

It is utilized to simulate and analysis

of power electronic circuit.

For PG (Lab) and Dissertation of PG

5.2 Research facility/ center of excellence (30)

For performing research work for PG and Ph. D. students in the area of power electronics application, lab facility upgraded

for with following specialized equipments:

s.no Name of

Laboratory

Specialized

equipment

Equipment’s details Utilization

details from

the

prospective of

PO attainment

1 Power

electronics

lab

PLC Trainer Kit

PLC Trainer Kit with three experimental setup are

used to speed control of dc and ac motor setup and

dynamic breaking of three phase induction motor.

For Dissertation

of PG

Wavect 300

prototype

controller

Real time prototype controller is available with 48

PWM switches and nos of voltage and current sensor

are in build so it is used for building real time

controller for project work.

For Dissertation

of PG

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1ø Power Quality

Analyzer (Fluke)

The Analyzer (Fluke 43B) is single phase power quality

and energy analyzer are used to measure power

quality parameter and the 43B analyzer’s

measurement process and data output have been used

to access the most critical information easily for

research work

For Dissertation

of PG

3ø Power Quality

Analyzer (Fluke)

Fluke 435-II is three phase power quality and energy

analyser are used to measure power quality parameter.

And, the 435-II analyzer’s measurement process and

data output have been used to access the most critical

information easily for research work.

For Dissertation

of PG

3 phase 5 level

cascade inverter

The converters have to design to obtain quality output

voltage or a current waveform with a minimum

amount of ripple content.

For Dissertation

of PG

3 level diode

multi-level

inverter

A multilevel inverter is a power electronic device

which is capable of providing desired alternating

voltage level at the output using multiple lower level

DC voltages as an input

For Dissertation

of PG

3 phase dual

converter

It is a power electronics control system to get either

polarity DC from AC rectification by the

forward converter and reverse converter

Model no- PEC20M3

Make- Vi Microsystems

For Dissertation

of PG

25 KW IGBT

based power

module

25 KW IGBT based power module is utilized for

research applications

For Dissertation

of PG

2 Machine

and drive

lab

Opal -RT

Simulator

OPAL-RT is the PC/FPGA-based real-time

simulators, Hardware-in-the-Loop (HIL) testing

equipment and Rapid Control Prototyping (RCP)

systems to design, test and optimize control and

protection systems used in power grids, power

electronics, motor drives, automotive, trains, aircraft.

For Dissertation

of PG

D Space

DSpace is an open source repository software package

typically used for creating open access repositories for

scholarly and/or published digital content. While

DSpace shares some feature overlap with content

management systems and document management

systems, the DSpace repository software serves a

specific need as a digital archives system, focused on

the long-term storage, access and preservation of

digital content.

For Dissertation

of PG

MATLAB

Software

It is utilized to simulate and analysis of power

electronic circuit applying in different applications

For PG (Lab)

and Dissertation

of PG

PSIM

It is utilized to simulate and analysis of power

electronic circuit.

For PG (Lab)

and Dissertation

of PG

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5.3 Access to laboratory facilities, training in the use of equipment’s (15)

All the Labs of the department are well equipped with many modern facilities/utilities that provide a good

ambience and working environment for the students and staff of the department. The department has the upgraded

hardware, software and hardware in loop facilities. The following training program was conducted by faculty in

collaboration with industry.

Demonstration and training in LAB

STTP on Advances in Process Control & Instrumentation (APCI-2019)” being organized during

July 15-19, 2019

Two Day Workshop on Training of PC based OPAL RT Simulator in being organized on 13-14

Feb 2019

Demonstration of three phase power quality analyzer and power logger will be held in the

Advanced Power Electronics & Embedded System Lab on 16/03/2020.

Demonstration of MSO will be held in the Advanced Power Electronics & Embedded System Lab

on 18/03/2020

Demonstration of weller rework station with DSX80 (Soldering and Desoldering Station)

in Advanced Power Electronics & Embedded System Lab on 05/08/2020

Demonstration of FPGA BASED RCP CONTROLLER (WAVECT) in Advanced Power

Electronics & Embedded Lab on 09/03/2021

Demonstration of PLC Trainer Kit in Advanced Power Electronics & Embedded Lab on

12/03/2021

Demonstration of PIC Microcontroller Kit in Advanced Power Electronics & Embedded Lab on

23/03/2021

Research students perform their experiments in LAB.

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CRITERION 6 Continuous Improvement 75

Actions taken based on the results of evaluation of each of the POs(25)

Identify the areas of weaknesses in the program based on the analysis of evaluation of POs

attainment levels. Measures identified and implemented to improve POs attainment levels for

the assessment years including curriculum intervention, pedagogical initiatives, support system

improvements, etc.

Actions taken, to be mentioned here.

Department of Electrical Engineering is putting continuous efforts for upgrading and

improving the quality of academics. The assessment for each subject for each subject/

course is evaluated in terms of the Cos and Pos as given in criteria 2.

POs Target Level Attainment Level Observations

PO1: An ability to independently carry out research/ investigation and development work

to solve practical problems.

PO1

2018-19 75

2019-20 77

2020-21 80

82.54

83.53

81.4

Action taken

Actions:

Included more fundamental and mathematical content pertaining to the relevant

engineering concepts.

Included case studies demonstrating the application of fundamental concepts for

analyzing the engineering problems related to the particular course.

Emphasize on the derivation of fundamental engineering equations and laws while

teaching, focus more on solving applied problems in tutorials and assignments.

POs Target Level Attainment Level Observations

PO2: An ability to write and present a substantial technical report/ document

PO 2

2018-19 75

2019-20 77

78.32

81.51

Action taken

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2020-21 80 80.0

Action:

The students are encouraged to participate/ conduct in technical events, other

events where their basic knowledge should convert to the application matching

with professional engineering practice.

The students are advised to attend English language classes to improve their

grammatical abilities.

The reports/ documents were checked for plagiarism before submissions.

POs Target Level Attainment Level Observations

PO3: Students should be able to demonstrate a degree of mastery over the area as per the

specialization of the program. The mastery should be at a level higher than the

requirements in the appropriate bachelor program.

PO 3

2018-19 75

2019-20 77

2020-21 80

79.99

83.09

81.4

Action taken

Action:

More emphasis is provided on design considerations including case studies.

Demonstrating the applications the application of fundamentals concepts for

analyzing the engineering problems related to the particular course.

Students are assigned design and development oriented short term projects to

the students involving design of experiments, data analysis.

They are also assigned multidisciplinary problems and short term projects to

student teams.

POs Target Level Attainment Level Observations

PO4: To apply the knowledge of mathematics, science, engineering fundamentals and an

engineering specialization of power electronics to the solution of complex engineering

problems.

PO 4

2018-19 75

2019-20 77

81.24

80.62

Action taken

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2020-21 80 79.5

Action:

Inclusion of chapters on design of experiments, analysis and interpretation of

data etc.

Introduce advanced numerical and computational tools are applicable.

The students are assigned advanced engineering problems to be solved using

numerical and computational tools, if applicable.

Closely monitor and asses students projects on the basis of effective use of time,

manpower and financial resources.

POs Target Level Attainment Level Observations

PO5: To recognize the need of adopting to the ever changing technologies and new

developments in the field of power electronics & Drives Engineering..

PO 5

2018-19 75

2019-20 77

2020-21 80

68.45

75.47

73.6

Action taken

Action:

Inclusion of chapters on Techno-socio and Techno-economical impact of the

relevant engineering products, ethical aspects multidisciplinary knowledge etc

and providing special sessions on Human values and Regulations

It is a regular practice to organize group discussions on socio-cultural impact of

the relevant engineering products, quiz and group discussions on environmental

impact of the relevant engineering products.

The quiz sessions and group discussion on issues related to ethics,

responsibilities and norms are also organized.

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On the Basis of result flow of action taken is as per flow chart given below

Flowchart

Improvement in Quality of Projects (10)

Following steps were taken to improve the quality of projects.

Quality of projects/ Dissertations is improved by motivating students to work

upon live problems taking from industry/ Internship

Mid-sem evaluation of Dissertation by duly constituted committee as well as

continuous evaluation by supervisor.

Presentations in Seminar

Research papers are also required to be published for the successful

completion and graduation of master degree

POs

Evaluation

Group Meeting

Improvement in

content delivery

Redefining

contents/syllabus

Department meeting with

HOD

Implementation of

corrective action

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Year wise improvement in Projects/ Dissertations and Research

2020-21 2019-2020 2018-2019

Most of the students

underwent industrial

projects through

internship

Some of the students

underwent industrial projects

through internship

Few Industrial Projects

Progress reports duly signed from guide should be submitted well in time, if any

student fails to submit his/her progress report well in time, he / she will not allow

submit his/her thesis in the current semester.

Guides/Supervisors are requested to submit their cumulative attendance in the last

week of every month.

Improvement in Placement, Higher Studies and Entrepreneurship(10) Placement is continuous activity in the institute. It is our consistent endeavor to train

the students making awakened career choices, identifying the best available career

opportunities and developing the ability to grab the same. We develop and maintain

positive liaison and networking with corporative recruiters. A large number of reputed

as well as growing organizations trust NIT Kurukshetra for the induction level

managerial talent requirements. Many of our alumni have gone to achieve great

heights after post graduating from NIT Kurukshetra. Trend of placement is as shown

in the following table.

Item CAYm1 CAYm2 CAYm3

No. of students placed in companies or

Government Sector (x)

17 9 11

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No. of students pursuing Ph.D. / JRF/

SRF(y)

1 5 5

No. of students turned entrepreneur in

engineering/technology (z)

Nil Nil Nil

Improvement in the quality of students admitted to the program (10) Assessment is based on improvement in terms of ranks/score in GATE

examination

Gate Score CAY CAYm1 CAYm2

Highest Score 575 679 646

Minimum Score 243 253 257

Table 6.4.1

Improvement in quality of paper publication (10)

Most of the students have published their papers in Conferences/Journals of

International repute like IEEE/Elsevier/Springer etc.

Total number of publications is approximately 100 during last three years. Full

details of publications are available in criterion 3.

Some of the students have also won best paper award in conference.

Following steps were taken to improve the quality of projects.

Students were promoted to submit their work for peer reviewed journal for

consideration

The plagiarism of the papers and thesis document is checked before

submission.

The students were promoted to takeup advanced research projects.

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Improvement in laboratories (10) Advanced Power Electronics and Embedded system Lab is developed for M Tech

and Ph.D. students for Research Purpose. The following equipment’s are added in

the lab

1. Wavect 300 prototype real time controller

2. D Space

3. Opal-RT HIL kit

4. DFIG based wind energy conversion system

5. PLC Trainer Kit

6. 1 ɸ Power Quality Analyzer

7. 3ø Power Quality Analyzer

8. Digital storage oscilloscope

9. Mixed storage oscilloscope

10. Soldering and desoldering staion

11. 3 phase 5 level cascade inverter

12. 3 level diode multi-level inverter

13. 3 phase dual converter

Simulation Lab for M Tech and Ph.D. students for the development of model based

simulations for the real time implementation. The following software modules are

available

14. MATLAB

15. PSIM

16. PLC Tool Kit

17. LabVIEW

18. Scilab

19. Ansys

20. 20-Sim

21. Neeplan

22. PsCad

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Annexure-I

Program Outcomes (POs)

PO1: An ability to independently carry out research/ investigation and development work to

solve practical problems

PO2: An ability to write and present a substantial technical report/ document

PO3: Students should be able to demonstrate a degree of mastery over the area as per the

specialization of the program. The mastery should be at a level higher than the

requirements in the appropriate bachelor program.

PO4: To apply the knowledge of engineering fundamentals in the area of power electronics

for the upliftment of society.

PO5: To adopt the ever-changing technologies and new developments in the field of power

electronics & Drives ethically.

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Annexure-II

Schemes and syllabus including CO’s

FIRST SEMESTER

Course

No.

Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 561T DC Converters & Drives 3 - - 3 3

EE 563T Advanced Theory of Electric

Machinery

3 - - 3 3

EE 565T PLC & Microcontrollers 3 - - 3 3

Elective-I 3 - - 3 3

Elective-II 3 - - 3 3

EE 569P Electrical Machines & Drives

Lab.

- - 4 4 2

EE 571P Seminar-I - - 2 2 2

Total 15 - 6 21 18

Weightage for Theory Courses:

During Semester Evaluation Weightage – 50%

End Semester Examination Weightage – 50%

Weightage for Lab. Courses:

During Semester Evaluation Weightage – 60%

End Semester Examination Weightage – 40%

List of Electives (Any two electives are to be studied selecting one from each group).

Elective-I

11. EE 503T Digital Control Systems (Core in control system) 12. EE 511 T Information Security (Elective with CS and PS) 13. EE 515 T Control Devices (Elective with CS and PS) 14. EE 513T Reliability Engineering. (Elective with control system) 15. EE 519T Digital Signal Processing (Elective with PS and CS)

Elective-II

16. EE 505 T Identification & Estimation (Core in CS, Elective in PS)

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17. EE 509T Optimization Theory (Elective with CS and PS) 18. EE 517T Industrial Process Control (Elective with control system ) 19. EE 531T Advanced Power System Analysis (Core in Power system) 20. EE 537T Power System Planning (Elective with PS)

NOTE:

i) A program may have one or two laboratory courses spread over four periods. ii) Sufficient number of electives to be offered subject to the condition that each elective

should have at least five students.

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SECOND SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 562T Modelling & Control of

AC Motors

3 - - 3 3

EE 564T AC Converters 3 - - 3 3

Elective-I 3 - - 3 3

Elective-II 3 - - 3 3

Elective-III 3 - - 3 3

EE 574P Power Electronics Lab. - - 4 4 2

EE 576P Seminar-II - - 2 2 2

Total 15 - 6 21 18

Weightage for Theory Courses:

During Semester Evaluation Weightage – 50%

End Semester Examination Weightage – 50%

Weightage for Lab. Courses:

During Semester Evaluation Weightage – 60%

End Semester Examination Weightage – 40%

List of Electives(Any three electives are to be studied selecting one from each group).

Elective-I

16. EE 566T Computer Aided Design of Electrical Machines) 17. EE 568T Renewable Energy Resources(Elective with CS and PS) 18. EE 570T Wind Energy in Power System (Elective with CS ) 19. EE 572T Energy Management (Elective with CS and PS) 20. EE 536T Advanced Power System Protection (Elective with Power system) Elective-II

21. EE 532T Power System Operation and Control (Core in PS) 22. EE 542T High Voltage DC Transmission (Elective with Power system) 23. EE 546T Distributed generation and Control (Elective with Power system) 24. EE 502T Non-linear & Adaptive Control. (Core in Control system & Elective in PS) 25. EE 512T Embedded System (Elective with control system )

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Elective-III

26. EE 534T Reactive Power Control and FACTS Devices (Core in Power System 27. EE 504T Optimal and Robust Control (Core in Control system) 28. EE 508T Intelligent Control (Elective with Control system and Power system) 29. EE 518T Virtual Instrumentation (Elective with control system ) 30. EE 520T Cryptography (Elective with control system and Power system)

NOTE:

i) A program may have one or two laboratory courses spread over four periods.

ii) Sufficient number of electives to be offered subject to the condition that each elective

should have at least five students.

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THIRD SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 621P Preparatory Work for

Dissertation

0 0 20 20 10

20 10

NOTE: The Preparatory Work for Dissertation shall be evaluated by a committee

comprising the following on the basis of one mid semester seminar and one end semester

seminar presented and one end semester report submitted by the candidate.

1. HOD or faculty nominee proposed by HOD.

2. Dissertation Supervisor (and co-supervisor).

3. Two senior most faculty members of the department.

FOURTH SEMESTER

Course No. Title Schedule of Teaching Credit

Point Lecturer Tutorial Practical Total

EE 622P Dissertation 0 0 32 32 16

32 16

NOTE:

I. The Dissertation shall be evaluated by a committee comprising the following

through presentation cum viva-voce examination.

1..HOD or faculty nominee proposed by HOD.

2.. Dissertation Supervisor (and co-supervisor).

3.. One external expert appointed by the department. II. For award of grade, following criteria to be used.

Grade Conditions to be fulfilled

A+ One paper accepted/published in SCI Journal

A One good quality paper accepted/published in

non-paid journal or two good quality papers

presented in International/National Conference.*

B One good quality paper presented in International

Conference

C/D In other cases

* Conference organized by IIT/NIT/a premier R & D organization.

Non-Credit Based Dissertation Evaluation

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-561T DC Converters and Drives

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Review of static switching devices, firing and logic circuits, starting & speed control of DC motors.

Analysis, design and control of switching regulators: Buck, Boost, Buck-Boost& Cuk, Chopper circuits

& their analysis: current & voltage commutated, Jones, Type A-E choppers, AC to DC converters:

Single & Multi Phase.

Performance analysis and control of Single phase and three phase DC drives, chopper control of

stepper motor drive, applications of DC drives.

Course outcomes:

1. To understand the operations of DC-DC convertors.

2. To design and analysis of the DC-DC convertors

3. Implement it to achieve the desired performance.

REFERENCE:

1. D.M. Mitchell, ‘DC-DC Switching Regulator’,New York: McGraw-Hill,1988. 2. M. H. Rashid, ‘Power Electronics, Circuits, Devices and Applications’, Prentice Hall of India

Private Limited,2007. 3. P.C.Sen, ‘Thyristor DC Drives’, John Wiley and Sons, 1981. 4. G.K. Dubey, ‘Power Semiconductor Controlled Drives’, Englewood Cliffs,NJ: Prentice Hall,

1989. 5. W. Leonard, Control of Electric Drives, Germany: Springer-Verlag, 1985.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-563T Advanced Theory of Electric Machinery

(Core in PED Elective in PS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Induction Machines: Analysis with nonrated voltage, nonrated frequency & unbalanced supply, De-

rating/Rerating, modelling of magnetization characteristics, capacitor self-excitation of induction

machines and its applications, Energy efficient motors, Air gap field space harmonics (parasitic

torques, radial forces and noise), slip power recovery. Special Machines: Servomotors, stepper

motors, BLDC motors. Transient theory: Analysis of Kron’s primitive model, development of

transformations. Transformers: Multi Circuit transformers, Parallel operation of dissimilar

transformers, analysis of inrush magnetizing current.

Course outcomes:

1 carry out the investigations of electrical machines

2 analysis of abnormal operation of industrial motors

3 applications of electrical machines in current research areas

4 understand to solve complex engineering problems

REFERENCE:

1. L.F Blume, ‘Transformer Engineering’, John Wiley & Sons, Inc, New York, 1967 2. Fitzgerald & Kingsley, ‘Electric Machinery’ McGraw Hill Co. New Delhi, 2004. 3. A .Langsdorf, ‘Theory of Alternating Current Machinery’, McGraw Hill Co. New Delhi, 2004. 4. I.Boldea & S.A.Nasar, ‘Induction Machine Handbook’, CRC Press, New York, 2002.

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5. C.M.Ong, ‘Dynamic Simulation of Electric Machinery using Matlab/Simulink’,Prentice Hall PTR, New Jercy, 1998.

MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-565T PLC & Microcontrollers

(Core in PED Elective in CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

PLC and PIC Microcontroller

Logic design, Principle of Operation, Controller, Interfacing circuits, Modbus, Programming

examples.

Architecture, instruction set, timer, interrupts, I/O port, interfacing A/D converter, I2Cbus operation

Course outcomes:

1 Advanced Understanding of Logic Design using PLC

2 Apply Appropriate Techniques in the Field Of Automation

3 Able to do work for safety issues

4 This Course Will Train the Student for PIC Microcontroller Programing

REFERENCE:

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1. Programmable Logic controllers : Operation, interfacing and programming by Job Den Otter, PHI

2. Design with PIC Microcontrollers by John B.Peatman, Pearson

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-503T Digital Control System.

(Core in CS Elective in PED and PS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Review of Z-transform.

Representation of discrete time systems: Pulse Transfer Functions & State Space models.

Issues of sampling and discretization.

Models of Digital control devices and systems: Z-domain description & digital filters.

Analysis of Discrete time systems, Controllability and Observability.

Stability analysis: Jury’s Test, Routh’s test.

Design of Digital controller: Classical & State-space techniques.

Realization of Discrete time controller, Quantization errors.

Course outcomes:

1. Know the implementation of Z- Transform.

2. Representation of discrete time systems with the approach of pulse transfer

function and state space models.

3. Know the modelling aspects of digital control devices and systems.

4. Compute the stability of discrete time systems.

5. Implement the design of digital controller via classical and state space techniques.

6. Realization of discrete time systems.

REFERENCE:

1. Digital Control Systems – by P.N. Paraskevopoulos, Prentice Hall, 1996,

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2. Digital Control & State variable methods – by M. Gopal, TMH 1997. 3. Digital Control Systems by M. Gopal, McGraw Hill, 2003

MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION

W.E.F. 2012-13

Course No. EE-505T Identification & Estimation

(Core in CS, Elective in PS and PED)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Review of probability theory; Random variables and process, stochastic processes, properties and

terminology; mean, variance, correlation, spectral density, ergocity etc.

Problem formation for identification and Estimation

Models: Review of continuous and discrete, state space and input-output, disturbance models.

Identification: Impulse response and transfer function apporach (only nonparametric methods).

Parameter Estimation: Introduction.

Linear regressions and least-squares methods and properties

Prediction error approach

Non- recursive and recursive methods

Kalman filter, Extended Kalman Filter for nonlinear estimation

Maximum likelihood method

Mean square method

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Convergence, computational and implementational issues

Application examples

Course outcomes:

1. Modeling, identification and control of the real-time systems. 2. Estimation of the system parameters using different methods used for designing of different

kinds of observers and controllers.

REFERENCE:

1. Lennart Ljung. ”System Identification: Theory for the user”, Prentice Hall Inc, NJ 1991. 2. B.N Chatterji and K.K. Parmer, “System Identification Techniques” Oxford & IBH Pub. New

Delhi. 1989. 3. A. Papoulis & S U pillai “Probability, Random Varriables and Stochastic Process” 4th edition

MC Graw Hill, 2002.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-509T Optimization Theory

( Elective in PS, PED and CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Introduction to optimization theory , Importance in solving system engg. Problems

Convex sets & functions,supporting & separating hyperplanes, dual cones and generalized

inequalities

Linear programming problem

Formulation,simplx method,two phase simplex method,dual simplex method,, Duality in linear

programming,sensitivity analysis

Integer linear programming,cutting plane method, linear programming approach to game

theory,dyanamic programming problems

Multi objective optimization

Intoduction to nonlinear programming

Unconstrained optimization—formulation of quadratic optimization problem,Newton raphson

metmhod,gradient method

Constrained optimization—quadratic programming, saparable programming

Convex optimization problem---

Linear optimization problem, quadratic optimization problem, complexity of convex programming

Course Outcomes:

1. To solve the two-dimensional LPP by graphical method.

2. To solve the two-dimensional & multi-dimensional LPP by simplex, two phase

simplex, dual simplex methods.

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3. Able to know the concept of duality & sensitivity analysis.

4. To get the solutions for degeneracy.

5. To know about special cases of LPP; infeasible solution, unbounded solution,

alternate solution.

6. To know various mathematical models for transportation problems, assignment

problems.

7. To solve LPP by integer programming using cutting plane algorithm where rounding

off is required.

8. To solve the unconstrained optimization by Newton Rampson & Gradient method.

9. To get the concept of quadratic & separable programming.

10. To learn briefly about convex optimization.

REFERENCE:

1. SS Rao ,Optimization theory & applications , Wiley Eastern Ltd. 2. Convex optimization by Boyd &Vandenberghe 3. Operational research by Hamdy A.Taha

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-511T Information Security

(Elective in PS, PED and CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Introduction to Information Security and privacy, Security levels, Security aims.

System Security – Security models, Security functions and Security Mechanisms,

Privacy enhancing Mechanisms, Access control: role based attribute based, Data base Security,

Secure programming, Security evaluation criteria.

Network Security – Security Threats and vulnerabilities, Firewalls, IDS, Router Security, Viruses,

Worms, DoS, DDos attacks, OS Security, Security protocols, Security management, Audit and

Assurance, Standards, Introduction to disaster recovery and Forensics.

Indian initiatives to information security

Information Security Standards.

Course outcomes:

1. The ability to recognize the legal, social, ethical and professional issues involved in the exploitation of computer technology and be guided by the adoption of appropriate professional, ethical and legal practices.

2. Knowledge and understanding of information security issues in relation to the design, development and use of information systems

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REFERENCE:

1. B. Matt, “Computer Security”, Pearson Education., New Delhi, 2003. 2. W. Stallings, “Cryptography and Network Security”, Pearson Education., New Delhi, 2003. 3. Rolf Oppliger, “Secrets technologies for world wide web”, 2nd Edition, Artech House, 2003.

MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-513T Reliability Engineering

(Elective in PS,PED and CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Review of basic concepts in reliability engineering, reliability function, different reliability

models etc., and reliability evaluation techniques for complex system: Non path set and cutest

approaches, path set and cut set approaches, different reliability measures and performance indices,

modeling and reliability evaluation of system subjected to common cause failures.

Reliability improvement, Reliability allocation/apportionment and redundancy optimization

techniques

Fault tree analysis

Maintainability Analysis: measure of system performance, types of maintenance, reliability centered

maintenance, reliability and availability evaluation of engineering systems using Markov models.

Reliability testing

Design for reliability and maintainability

Applications of fuzzy theory and neural networks to reliability engineering

Typical reliability case studies

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Course outcomes:

1. Explain the concept of probability.

2. Calculate random variable, density & distribution function.

3. To analyze the failure modes & effects.

4. Evaluate reliability functions.

5. Demonstrate network modelling.

6. Describe various methods to evaluate, increase and allocate and optimize reliability.

7. To draw reliability logic diagrams, fault trees, market graphs and find reliability using

them.

8. To optimize the LPP by graphical method, simplex method and dual simplex method.

9. To solve various dynamic programming problems.

REFERENCE:

1. M.L Shooman, “Probabilistic reliability- an engineering approach” RE Krieger Pub, 1990. 2. K.K Aggarwal, “Reliability Engineering” Springer Pub, 1993. 3. E Balaguruswamy, “Reliability Engineering” McGraw hill, 2002. 4. R. Ramakumar, “Engineering Reliability” Prentice, NJ, 1993.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-515T Control Devices

(Elective in CS in PED)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Controllers, Transmitters, Convertors and relays, function generators,computing

relays,telemetering systems,thermostat,humidistat,electronic &intelligent transmitters,fiber

optic & pneumatic transmitters

Control centers& panels: annunciators and alarms,display devices & recorders

Control valves: Various types of valves

Actuators- digital and hydraulic regulators and other throttling devices,dampers, pumps as

control elements ,characteristics and applications

Electric actuators :AC and DC actuating devices

Programmable logic controllers

Course outcomes:

1. Demonstrate an understanding of the fundamentals of (feedback) control

systems. 2. Determine and use models of physical systems in forms suitable for use in

the analysis and design of control systems.

3. Express and solve system equations in state-variable form (state variable models).

4. Determine the time and frequency-domain responses of first and second-order systems to step and sinusoidal (and to some extent, ramp) inputs.

5. Determine the (absolute) stability of a closed-loop control system Apply root-locus technique to analyze and design control systems.

REFERENCE:

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1. Liptak, ‘Process control handbook’, Instrument society of America 2. C.D.Johnson,’Instrumentation systems’ Prentice Hall.

MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-517T INDUSTRIAL PROCESS CONTROL

(Elective course in PED and CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Review of systems: Review of first and higher order systems, closed and open loop response.

Response to step, impulse and sinusoidal disturbances, interacting and non interacting type of

systems. Control valves, types, function, hydraulic, pneumatic actuators, solenoid, stepper motors.

Stability Analysis: Frequency response, design of control system, control modes, definition,

characteristics and comparison of P, PI, PD, PID controllers. Dynamic behavior of feedback

controlled process for different control modes, control system quality, IAE, ISE, IATE

criterion, controller tuning and process identification, Zigler-Nichols and Cohen-Coon tuning

methods, Bode-Nyquist Plots - Process modelling.

Special Control Techniques: Principle, analysis and application of, cascade, ratio, feed forward,

override, split range, selective controls, computing relays, simple alarms, Smith predictor, internal

model control, theoretical analysis of complex processes.

Introduction to adaptive and self tuning control, distributed control systems

Course outcomes:

1. Describe the control principle in the Industrial Process System application. 2. Perform the measurement for temperature, pressure, fluid flow and level.

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3. Tune the PID with the right technique for optimization of the system.

REFERENCE:

1. ‘Process Systems analysis and Control’, D.R. Coughanour, Mc.Graw Hill, II Edition, 1991. 2. ‘Process Dynamics and Control’, D.E.Seborg, T.F.Edger, and D.A.Millichamp, John Wiley

and Sons, II Edition, 2004. 3. ‘Principle and Practice of Automatic Process Control’, C.A.Smith and A.B.Corripio, John

Wiley and Sons, 1985. 4. ‘Process control’, Peter Herriot, Tata McGraw Hill. 5. ‘Process Modelling Simulation and Control for Chemical Engineers’, W.L.Luyben,

McGraw Hill, II Edition, 1990. 6. ‘Chemical Process Control – Theory and Practice’, Stephanopoulous, Prentice Hall of

India, Ltd.,.1984.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-519T Digital Signal Processing

(Elective course in PS, PED and CS)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Digital Signal Processing Applications; Filter Design, FIR & IIR Digital Filter Design, filter Design

programs using MATLAB , Fourier Transform: DFT, FFT programs using MATLAB

Real Time Implementation: Implementation using DSP of (i) Digital filters (ii) & FFT applications.

Multirate DSP : The basic sample rate alteration, time – domain characterization & frequency

domain characterization, Cascade equivalences, filters in sampling rate alteration systems, digital

filter banks and their analysis and applications; multi level filter banks, estimations of spectra from

finite – duration observation of signals.

linear prediction and optimum linear filters : forward and backward linear prediction, AR Lattice

and ARMA lattice – ladder filters, Wieners filters for filtering on prediction.

Introduction to Digital Signal Processors, Architectures of TMS-320 series, Instruction Set,

Programming and Interfacing

Course outcomes:

1. Theoretical exposure to digital signal processing algorithms.

2. Application of FFT algorithms.

3. Simulation using MATLAB to verify DSP algorithms.

4. Design and implementation of different types of IIR and FIR digital filters.

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REFERENCE:

1. P.P. Vaidhyanathan, Multirate systems and filter banks, Prentice Hall, 1993. 2. Emmanuel Ifeachor and Barrie Jervis, Digital Signal Processing: A Practical Approach (2nd

Edition), Prentice Hall, 2004. 3. J.G Proakis and D.G Manolakis - Digital Signal Processing: Principles, Algorithms and

Applications, PHI, 2004. 4. A.V. Oppehein and R.W. Schafer, Discrete time signal processing, PHI, 1992 5. Haykins, Adaptive Filter Theory, Prentice Hall, 1986 6. Orfanidis Sophocles J, Optimum Signal Processing, McGraw Hill, 1988 7. Theory and applications of digital signal processing by Lawrence R. Rabiner and

BernardGold, PHI 8. Digital Signal Processing, A Computer – Based approach, by Sanjit K. Mitra, Tata

McGraw-Hill, 2008 9. Reference Manual of TMS-320 Digital Signal Processor.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-531T ADVANCED POWER SYSTEM ANALYSIS

(Core in PS elective in PED)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

Bus Impedance Algorithm: Partial network, building algorithm for bus impedance matrix, Addition

of links, addition of branches, (considering mutual coupling) removal of links, modification of bus

impedance matrix for network changes, Formation of bus admittance matrix and modification,

Gauss elimination, Node elimination (Kron reduction), LU factorization, Schemes of Ordering,

Sparsity, Calculation of Z bus elements for Y bus, Numerical examples

Balanced and unbalanced network elements: Representation of three phase network elements,

representation under balanced and unbalanced excitation, transformation matrices, symmetrical

components, sequence impedances, unbalanced elements, three phase power invariance.

Short circuit studies: Network representations for single line to ground fault, line to line fault, LL-G

fault, and 3-phase faults, network short circuit studies using Z bus, Short circuit calculations for

various types of faults in matrix form, numerical examples.

Load flow studies: Load flow and its importance. classification of buses, load flow techniques,

Iterative solutions and computer flow charts using Gauss-Seidel and Newton-Raphson methods,

Decoupled and fast decoupled methods, representation of regulating and off nominal ratio

transformers and modification of Ybus, comparison of methods, numerical examples.

Introduction to AC-DC load flow problems: formation and solutions.

Power system security: Introduction to Power system security, Adding removing multiple lines,

piece-wise solution of interconnected systems, analysis of single and multiple contingencies, analysis

with sensitivity factors, system reduction for contingency and fault analysis.

Course outcomes:

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1. Know the fundamentals of graph theory and its application to solve power system network.

2. Know the matrix methods and their application in developing algorithms for load flow and

short circuit studies.

3. Know the representations of network elements under balanced and unbalanced excitation.

4. Develop the technique to build admittance and impedance matrices.

5. Develop load flow solution algorithms.

6. Develop short circuit study algorithms based on Zbus.

7. Analyze power system security and state estimation.

REFERENCE:

1. G.W. Stagg & A.H EI-Abaid, ‘Computer methods in Power system analysis’, McGraw Hill, New York.

2. M. A. Pai, ‘Computer Techniques in Power System Analysis’, 2nd Edi., TMH-New Delhi. 3. Kusic., ‘Computer-Aided Power System Analysis’, Prentice Hall of India, New Delhi. 4. John J.Grainger and W.D.Stevenson, ‘Power System Analysis’, McGraw Hill, New York, 1994. 5. A.J. Wood & W.F. Wollenberg, ‘Power Generation, Operation, and Control’, 2nd Edn, John

Wiley & Sons, New York, 1996. 6. O.I. Elgerd, ‘Electric Energy Systems Theory: An Introduction’, McGraw Hill, New York, 1982. 7. J. Arrillaga, C.P Arnold & Harker, ‘Computer Modeling of Electrical Power Systems’, John

Wiley & Sons. 8. Enrique Acha et al., ‘FACTS: Modeling and Simulation in Power Networks’, John Wiley and

Sons Ltd., 2004. 9. Kothari and Dhillon, ‘Power Systems Optimization’, PHI, 2004.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES SPECIALIZATION W.E.F. 2012-13

Course No. EE-537T Power System Planning

(Elective in PS and PED)

L T P Total Credits-3

3 0 0 3 Duration of Exam- Three hours

During Semester Evaluation Weightage- 50%

End Semester Examination Weightage- 50%

General power system planning issues, economic analysis, load forecasting, production cost modeling,

generation expansion planning, substation expansion planning, network expansion planning, reactive

power planning.

Power System Reliability evaluation of above aspects

Deregulation of power systems, power system planning under uncertainty, risk based power system

planning.

Course outcomes:

1. Understand the basic power systems planning issues.

2. Perform economic analysis of power projects.

3. Carry out load forecasting studies for power systems.

4. Analyze generation, transmission and distribution system planning problems.

5. Calculate reliability indices for power system planning studies.

6. Understand the future challenges in planning of deregulated and uncertain power

systems.

REFERENCE:

1. “Electric Power System Planning: Issues, Algorithms and Solutions” , by Hossein Seifi, Mohammad Sadegh Sepasian, Springe –Verlag, Berlin, 2011.

2. “Economic Market Design and Planning for Electric Power Systems”. By James Momoh, Lamine Mili, John Wiley and Sons, New Jersey, 2010.

3. “Electrical Power Systems Planning”, by A. S. Pabla, McMillan Publishers, India, 1998. 4. “Modern Power System Planning” , Ed. by X. Wang and J. R. McDonald, McGraw Hill,

London, 1994. 5. “Power System Planning”, by R. Sullivan, McGraw Hill, 1977. 6. “Reliability Evaluation of Power System” Roy Billinton and Ronald Norman Allan

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C01

Course Title Modelling of Electrical Machines

Number of Credits 3

Course Type Core

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. To be able to solve linear and nonlinear circuit problems of transformers and dc machines

CO2. To be able to understand and design closed loop speed-controller for chopper-fed dc motor

CO3. To be able to understand and design closed loop speed-controller for rectifier-fed dc motor

CO4. To be able to develop voltage and torque equations for 3-Φ induction and synchronous machines

COURSE CONTENTS:

UNIT-I

Linear equivalent circuit of transformer, corrections for the nonlinearity in the magnetically

coupled circuits including the use of computer simulation for complex problems;

Electromechanical energy conversion equations; Solution of dc motor dynamic characteristics by

Laplace transformation; Time-domain block diagrams and state equations for shunt-connected dc

machines and permanent-magnet dc machines.

UNIT-II

Closed loop operation of chopper-controlled dc motor drive: speed-control with inner current

loop, modelling of PWM-current controller and hysteresis-current controller; Design of current

controller, design of speed controller by the symmetric-optimum method; Dynamic simulation of

the speed-controlled dc motor drive: Equations for motor, filter in the speed-feedback loop, speed

controller, current-reference generator, current controller; flowchart for simulation.

UNIT-III

Phase-controlled dc motor drives: Control modelling of the three-phase converter; Transfer

functions of the dc motor, load, converter, current controller, speed controller, current feedback

and speed feedback subsystems; Design of current controller, speed controller, solved example;

Dynamic simulation of the one-quadrant phase-controlled dc motor drive: Equations for motor,

filter in the speed-feedback loop, speed controller, current-reference generator, linearizing

controller and bridge converter; Flowchart for simulation.

UNIT-IV

Symmetrical induction machines: Voltage and torque equation in machine variables, voltage

equations and equivalent circuits in arbitrary reference-frame variables, torque equation in

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arbitrary reference-frame variables. Synchronous machines: Voltage and torque equation in

machine variables, voltage equations and equivalent circuits in arbitrary reference-frame

variables, torque equations in substitute variables.

REFERENCES:

1. R. Krishnan, Electric Motor Drives: Modeling, Analysis and Control, Prentice Hall Inc., 2001.

2. Paul C. Krause, Oleg Wasynczuk and Scott D. Sudhoff, Analysis of Electric Machinery and

Drive Systems, Second Edition, Wiley India, 2004.

3. Rik De Doncker, Duco W. J. Pulle and Andre Veltman, Advanved Electric Drives: Analysis,

Modeling and Control, Springer Science+Business Media B.V.2011.

4. Seung-Ki Sul, Control of Electric Machine Drive Systems, John Wiley & Sons, Inc., 2011.

5. Ion Boldea and Syed A. Nasar, Electric Drives, Third Edition, CRC Press, 2016.

6. Viktor M.Perelmuter, Electrotechnical Systems: Simulation with Simulink and

SimPowerSystems, CRC Press, 2013.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C03

Course Title Power Conversion Techniques

Number of Credits 3

Course Type Core

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. Apply the knowledge of science and mathematics in designing, analyzing and using

power converters for various industrial and domestic applications

CO2. Understanding of the impact of power conversion techniqes in an economic and

social context.

CO3. Do Analysis of Harmonic of the Output Voltage for Each type of the Inverter

CO4. Advance Understanding of Multilevel inverters

CONTENTS:

A.C to A.C. Converter – A.C. Controller: Single-phase and three-phase a.c. controllers. Topologies,

triggering techniques for power factor and harmonic controls, Derivation of expression of output

voltage, input power factor, THD using various control techniques like phase angle control,

symmetrical angle control.

A.C to A.C. Converter – Cycloconverter: Concept of three-phase to single phase, single phase to

single phase and single phase to three phase cyclo-converter. Constant firing angle and cosine wave

crossing firing control technique. Harmonic analysis of the output voltage. Effect of source

inductance.

D.C to A.C. Converter – Inverter: Series and parallel inverter, Single-phase and three-phase inverters,

configuration of VSI & CSI. Concept of PWM techniques. Single Pulse, multiple pulse periodic and

sinusoidal PWM technique. Multilevel inverter. Harmonic analysis of the output voltage of each

type of inverter. Reduction of harmonics.

REFERENCES:

1. N. Mohan, T.M Undeland & W.P Robbin, Power Electronics, Converter Applications and design, John Wiley & Sons, 1989.

2. M.H. Rashid, Power Electronics, Prentice Hall, 1994. 3. B.K. Bose, Power Electronics and AC Drives, 1986. 4. R. Bausiere and G. Seguier, Power Electronics Converters, Springer-Verlag, 1987. 5. D.M Mitchell, DC-DC Switching Regulator Analysis, McGraw Hill, 1987

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C05

Course Title Electric Drives

Number of Credits 3

Course Type Core

COURSE OUTCOMES:

Upon completion of the course, the students will be able to CO1. Understand the need of Electric Drive systems

CO2. Choose proper electric drive system to a particular application

CO3. Apply various control techniques to the electric drive systems

COURSE CONTENTS:

Components of Electric Drive System- electrical machines, power converters and control system.

Different types of loads encountered in modern drive applications. Dynamics of drive systems,

starting, braking, speed-control, steady state and dynamic operation of motors and load variations

DC Motor Drive Using Phase Controlled Rectifier – DC motor drive using half controlled and fully

controlled single phase and three phase rectifiers, continuous and discontinuous conduction modes

of operation, 4-quadrant operation using dual converter.

Closed Loop Control of DC Motor - Operating limits of a separately excited DC motor drive, dynamic

model of DC motor, dynamic model of chopper and phase controlled rectifier, design of single loop

speed controller, cascaded controller design for DC motor using inner current control loop and

outer speed control loop, field weakening operation.

Voltage Source Inverter and its PWM strategies – Basic principles of voltage source inverter, 120

and 180 degree modes of operation, need for pulse width modulation, sine-triangle PWM, space-

phasor based PWM, current controlled PWM.

Induction Motor Drive – Steady state equivalent circuit and phasor diagram with variable frequency

supply, v/f control and constant air gap flux control of induction motor drive, field-weakening

operation of induction motor drive. Introduction to vector control and direct torque control.

Synchronous Motor Drive – Synchronous motor drive with Variable Voltage Variable Frequency

supply, synchronous motor drive using a voltage source inverter, synchronous motor drive using

load commutated thyristor inverter, control of synchronous machine using cycloconverter.

Reference Books

1. Werner Leonhard, Control of Electrical Drives, 3rd edition, Springer 2001

2. R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control, Prentice Hall,

edition 1, 2001.

3. Bimal K Bose, Modern Power Electronics and AC Drives, Prentice Hall, edition 1,

2001.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E31

Course Title Advanced Theory of Electrical Machines

Number of Credits 3

Course Type Elective

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. To understand the working of industrial machines. CO2. To analyze the non-rated and unbalanced operation of induction machine. CO3. To understand the self-excitation phenomenon in induction machine and its

applications. CO4. To analyze the operation of induction machine with slip power recovery schemes. CO5. To analyze the operation of multi circuit transformers. CO6. To understand switching transients in power transformers.

COURSE CONTENTS:

Induction Machines: Analysis with nonrated voltage, nonrated frequency & unbalanced supply, De-

rating/Rerating, modelling of magnetization characteristics, capacitor self-excitation of induction

machines, Applications and analysis of self-excited induction machine.

Special Machines: Energy efficient motors, Servomotors, Stepper motors, BLDC motors.

Special Topics in Induction Machines: Development and application of Power Invariant

transformations, Air gap field space harmonics (parasitic torques, radial forces and noise), and slip

power recovery.

Special Transformers: Concept and advantages of multi circuit transformer, its analysis, Parallel

operation of dissimilar transformers, Analysis of inrush magnetizing current, Switching transients in

power transformers.

REFERENCES:

1. L.F Blume, ‘Transformer Engineering’, John Wiley & Sons, Inc, New York, 1967 2. Fitzgerald & Kingsley, ‘Electric Machinery’ McGraw Hill Co. New Delhi, 2004. 3. A .Langsdorf, ‘Theory of Alternating Current Machinery’, McGraw Hill Co. New Delhi, 2004. 4. I.Boldea & S.A.Nasar, ‘Induction Machine Handbook’, CRC Press, New York, 2002. 5. C.M.Ong, ‘Dynamic Simulation of Electric Machinery using Matlab/Simulink’,Prentice Hall

PTR, New Jercy, 1998.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E33/ MEE3O71

Course Title Switched Mode Power Conversion

Number of

Credits 3

Course Type Elective/ Open Elective

COURSE OUTCOMES:

Upon completion of the course, the students will be able to CO1. Steady-State Analysis of switched-mode dc-dc power converters.

CO2. Design of Switched-Mode Converters, including selection of component values based on steady-state dc and ac ripple specifications.

CO3. Dynamic Modelling Development and Analysis for switched-mode dc-dc converters using averaging techniques, including the derivation and visualization of converter small-signal transfer functions.

CO4. Analysis and Design of Control Loops around switched-mode power converters using averaging small-signal dynamic models and classical control theory.

CO5. Become proficient with computer skills (e.g., PSPICE and MATLAB) for the analysis and design of switched-mode power converters.

COURSE CONTENTS:

Design constraints of reactive elements in Power Electronic Systems: Design of inductor,

transformer and capacitors for power electronic applications, Input filter design.

Basic concepts and steady-state analysis of second and higher order Switched Mode power

converters: PWM DC -DC Converters (CCM and DCM) - operating principles, constituent elements,

characteristics, comparisons and selection criteria.

Dynamic Modelling and control of second and higher order switched Mode power converters:

analysis of converter transfer functions, Design of feedback compensators, current programmed,

frequency programmed and critical conduction mode control.

Soft-switching DC - DC Converters: zero-voltage-switching converters, zero-current- switching

converters, Multi resonant converters and Load resonant converters.

Pulse Width Modulated Rectifiers: Properties of ideal rectifier, realization of near ideal rectifier,

control of the current waveform, single phase and three-phase converter systems incorporating

ideal rectifiers and design examples. Nonlinear phenomena in switched mode power converters:

Bifurcation and Chaos.

References Books:

1. Robert W. Erickson and Dragan Maksimovic, ‘Fundamentals of Power Electronics’, Springer, 2nd Edition, 2001.

2. Marian K. Kazimierczuk, ‘Pulse-width Modulated DC-DC Power Converters’ John Wiley & Sons Ltd., 1st Edition, 2008.

3. Philip T Krein, ‘Elements of Power Electronics’, Oxford University Press, 2nd Edition, 2012. 4. Batarseh, ‘Power Electronic Circuits’, John Wiley, 2nd Edition, 2004. 5. H. W. Whittington, B. W. Flynn, D. E. Macpherson, ‘Switched Mode Power Supplies’, John Wiley &

Sons Inc., 2nd Edition, 1997.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E35/ MEE3O73

Course Title Energy Efficient Motors

Number of Credits 3

Course Type Elective/ Open Elective

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. To Select and find Application of Energy Efficient Motors

CO2. Visualize the larger picture and correlate the domain knowledge with the global

industrial problems

CO3. Use their Engineering Knowledge to Conclude effect of Operating Power Factor on

the Efficiency

CO4. Understand Efficiency of AC and DC motor Drives

COURSE CONTENT:

Energy efficiency operation, Need for energy efficient motors. Selection and application of energy

efficient motors. Technology for the development of energy efficient motors, Fundamentals of

electric motor drives, Operation of motors under non sinusoidal supply system. Effect of operating

power factor on efficiency.

Energy efficient induction motor under different input parameters and applications, Adjustable-

speed drives their advantages and benefits from efficiency point of view,

Efficient operation of AC and DC motor drives

REFERENCES:

1. Energy-Efficient Electric Motors and their Applications, Author: Jordan, H.E

2. Energy Efficiency Improvements in Electric Motors and Drives, Editors: Almeida, Anibal de, Bertoldi, Paolo, Leonhard

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E37

Course Title Design & Analysis of Power Converter Circuits

Number of

Credits 3

Course Type Elective

Course Outcomes:

Upon completion of the course, the students will be able to

CO1. To Analyses of State-space averaging; Circuit averaging and averaged switch;

Canonical circuit model; pulse-width modulator.

CO2. Design various controllers such as PD, PI and PID controllers

CO3. Learn about design of input filters, Damped Input filters etc.

CO4. Do modelling of the DCM switch network and learning about High frequency

Dynamics converters in DCM

Course Contents:

Ac modelling approach: Averaging the inductor currents and capacitor voltages, perturbation and

linearization, construction of the small-signal equivalent circuit model; State-space averaging;

Circuit averaging and averaged switch modelling; Canonical circuit model; Modelling the pulse-

width modulator.

Controller design: PD, PI and PID controllers, design examples; Measurement of loop gains: Voltage

injection, current injection, measurement of unstable systems; Input filter design: Effect of input

filter on converter transfer functions, buck converter example, design of a damped input filter,

cascading filter sections.

Ac and dc equivalent circuit modelling of the discontinuous conduction mode (DCM): Dc motor

averaged switch model, small-signal ac modelling of the DCM switch network, high-frequency

dynamics of converters in DCM. Voltage-mode and current-mode controls of dc-dc converters,

large-signal issues in voltage-mode and current-mode control.

Simulation of power electronic circuits in MALAB/SIMULINK environment: Models of power devices,

control blocks, simulation of Z-source converters, simulation of resonant inverters, simulation of

matrix converters, Application of simulation program SEQUEL to a resistive network, an RC circuit, a

circuit with two RC sections, and a buck converter.

REFERENCES:

1. Robert W. Erickson and Dragan Maksimovic, Fundamentals of Power Electronics, Second

Edition, Springer Science+Business Media B.V. 2001.

2. Ned Mohan, Tore M. Undeland and William P. Robbins, Power Electronics: Converters,

Applications and Design, Third Edition, John Wiley & Sons, Inc., 2003.

3. Simon S. Ang, Power-Switching Converters, Marcel Dekker, Inc., 1995.

4. Philip T. Krein, Elements of Power Electronics, Oxford University Press, Inc., 1998.

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5. Viktor M. Perelmuter, Electrotechnical Systems: Simulation with Simulink and

SimpowerSystems, CRC Press, 2013.

6. M.B. Patil, V. Ramanarayanan and V. T. Ranganathan, Simulation of Power Electronics Circuits,

Narosa Publishing House Pvt. Ltd., 2009.

7. Kjeld Thorborg, Power Electronics- in Theory and Practice, Overseas Press India Pvt. Ltd., 1993

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Second Semester

MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C02

Course Title Power Quality

Number of Credits 3

Course Type Core

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. Students are able to apply their Engineering Knowldge to analyze Power Quality issues

CO2. Students are able to identify and formulate power quality problems

CO3. Able to Design active and passive filters and their analysis

CO4. Students are able to understand the consequences of power quality problems and their

mitigation using custom power devices such as distribution static compensator (DSTATCOM),

dynamic voltage restorer

CONTENTS:

Power Quality: An Introduction

Definition of Power Quality (PQ), Classification of PQ Problems, Causes and Effect of PQ Problems,

PQ standards, PQ Monitoring

Passive Shunt and Series Compensation

Passive shunt and series compensation for 1P-1W, 3P-3W and 3P-4W distribution System, Passive

shunt and series compensation for power factor correction, Zero voltage regulation and load

balancing

Passive Power Filters

Classification of Passive Power Filters, Principle, analysis and design of Passive Power Filters

Active Power Filter

Principle, analysis and design of shunt, series and Hybrid Active Power Filters

Custom Power Devices

Distribution Static Compensator(D-STATCOM), Dynamic Voltage Restorer (DVR) and Unified Power

Quality Conditioner (UPQC)

REFERENCES:

1. Bhim Singh A. Chandra and K Al-Haddad – Power Quality, john Wiley and Sons Ltd, 2015 2. C Sankaran -Power Quality (Electric Power Engineering Series) CRC Press, Dec 2001

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3. Math H. J. Bollen-Understanding Power Quality Problems: Voltage Sags and Interruption, IEEE, Press 2000

4. Roger C Dugan- Electrical Power Systems Quality- McGraw Hill 2012

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C04

Course Title PLC & Microcontrollers

Number of Credits 3

Course Type Core

COURSE OUTCOMES:

Upon completion of the course, the students will be able to

CO1. Advanced Understanding of Logic Design using PLC

CO2. Apply Appropriate Techniques in the Field Of Automation

CO3. Able to do work for safety issues

CO4. This Course Will Train the Student for PIC Microcontroller Programing

CONTENTS:

PLC: Logic design, Principle of Operation, Controller, Interfacing circuits, Ladder programming

examples.

PIC Microcontroller: Architecture, instruction set, timer, interrupts, I/O port, interfacing A/D

converter, Programming examples, Generation of PWM waves

REFERENCES:

1. Programmable Logic controllers : Operation, interfacing and programming by Job Den Otter, PHI

2. Design with PIC Microcontrollers by John B.Peatman, Pearson

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3C06/MEE3O72

Course Title Electric Vehicles

Number of Credits 3

Course Type Core/Open Elective

Course outcomes:

Upon completion of the course, the students will be able to CO1. Learn fundamentals of advanced batteries, super-capacitors and fuel cells for electrification of

vehicles. CO2 Learn hybridization of various energy conversion devices for vehicle electrification. CO3 Understand battery management systems and state-of-charge estimation. CO4 Understand the overall operation of Electric vehicles.

Course Content:

Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV) Developments: Historical developments, recent developments, State of art of EVs, EV configurations, EV parameters, Power flow control.

Electric Propulsion: DC Regulation and Voltage Conversion, Different types of Power converter based DC motor drives, induction motor drives, permanent magnet motor drives, Switched reluctance motor drives.

Energy Sources: Basics- Parameters-Capacity, Discharge rate, State of charge, state of Discharge of Batteries, Fuel cells, Ultra-capacitors, Electric Vehicle Recharging and Refuelling Systems.

EV auxiliaries: Battery characteristics and chargers, Battery indication and management, Auxiliary power supplies, Modelling Vehicle Acceleration, Modelling Electric Vehicle Range, Regenerative Braking systems.

Reference Books:

1. C. C. Chan, K. T. Chau, “Modern Electric Vehicle Technology” published by Oxford University Press. 2. Rodrego Garcia-valle and J. A. P Lopes “Electric Vehicle Integration into Modern Power Networks”

Springer. 3. Chris Mi, M. Abul Masrur and David Wenzhong Gao, “Hybrid Electric Vehicles: Principles and

Applications with Practical Perspectives” John Wiley Ltd. Publication. 4. Mehrdad Ehsani, YimiGao, Sebastian E. Gay, Ali Emadi, “Modern Electric, Hybrid Electric and Fuel Cell

Vehicles: Fundamentals, Theory and Design” CRC Press, 2004.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E32

Course Title Intelligent Control of Electric Drives

Number of Credits 3

Course Type Elective

Pre-requisite Power Electronics, basics of converter topology (AC-DC,AC-AC &

DC-DC), basic control techniques of Electric Drives

Course Outcomes:

Upon completion of the course, the students will be able to CO1. Understand the need of intelligent control techniques for Electric Drive systems

CO2. Compare the intelligent techniques with the Conventional Control Techniques

CO3. Apply the intelligent control techniques to the electric drive systems

CO4. Understand how to formulate and solve Problem on Intelligent Control of Electric Drive

Course Contents:

Fundamental concepts in control of electric drive systems.

Introduction to Neural Networks, Fuzzy logic, Evolutionary algorithms (Genetic Algorithm, Particle

Swarm Optimization etc.), Kalman Filter.

Modeling of a fuzzy logic based PI controller, neural network based Park's transformation, signal

measurement using Kalman filter, and a genetic algorithm optimized PID controller are

discussed.

Application of Fuzzy Logic, Neural Networks, Genetic Algorithm, Hybrid Neuro-Fuzzy and Nonlinear

Control of Power Converters and Drives.

Other recent topics on Intelligent Control of Drives

References:

1. Tze-Fun Chan, Keli Shi, "Applied Intelligent Control of Induction Motor Drives", Wiley, 2011

2. Orowska-Kowalska, Teresa, Blaabjerg, Frede, Rodríguez, José ,"Advanced and Intelligent Control in

Power Electronics and Drives", Springer, 2014.

3. Maurizio Cirrincione , Marcello Pucci , and Gianpaolo Vitale. "Power Converters and AC Electrical

Drives with Linear Neural Networks",CRC Press, 2012

4. Lakhmi C. Jain, Clarence W. de Silva, "Intelligent Adaptive Control: Industrial Applications", CRC Press,

1998

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E34

Course Title High Power Converters

Number of Credits 3

Course Type Elective

Course Outcomes:

Upon completion of the course, the students will be able to

CO1 Understand the operation of rectifiers

CO2 Evaluate the various performance indices of Two-Level Voltage Source Inverter

CO3 to understand about matrix converter

CO4 Compare various multilevel converters

Content:

Introduction High Power Semiconductor Devices:

Silicon Controlled Rectifier (SCR), Gate Turn-Off (GTO) Thyristor, Gate Commutated Thyristor (GCT)

,Insulated Gate Bipolar Transistor (IGBT), Other Switching Devices ,Main Causes of Voltage

Unbalance and Voltage Equalization for GCTs Voltage Equalization for IGBTs.

Multi-pulse SCR Rectifiers:

Effect of Line Inductance, Power Factor and THD, 12-Pulse SCR Rectifier, Idealized 12-Pulse

Rectifier, Effect of Line and Leakage Inductances, THD and PF and 24-Pulse SCR Rectifiers

Two-Level Voltage Source Inverter:

Harmonic Content, Over-Modulation, Third Harmonic Injection PWM, Space Vector Modulation,

Switching States Space Vectors, Dwell Time Calculation, Modulation Index, Switching

Sequence, Spectrum Analysis, Even-Order Harmonic Elimination and Discontinuous Space

Vector Modulation.

Cascaded H-Bridge Multilevel Inverters:

Bipolar Pulse Width Modulation, Unipolar Pulse Width Modulation, Multilevel Inverter Topologies,

CHB Inverter with Equal DC Voltage, H-Bridges with Unequal DC Voltages, Phase-Shifted

Multicarrier Modulation, Level-Shifted Multicarrier Modulation, Comparison Between Phase-

and Level-Shifted PWM Schemes. Staircase Modulation.

Diode Clamped Multilevel Inverters:

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Three-Level Inverter, Space Vector Modulation, Neutral-Point Voltage Control, Carrier-Based PWM

Scheme and Neutral-Point Voltage Control, Other Space Vector Modulation Algorithms, High-

Level Diode-Clamped Inverters and NPC/H-Bridge Inverter.

Other Multilevel Voltage Source Inverters:

Multilevel Flying-Capacitor Inverter, Active Neutral-Point Clamped Inverter, Neutral-Point Piloted

Inverter, Nested Neutral-Point Clamped Inverter and Modular Multilevel Converter.

PWM Current Source Inverters:

Space Vector Modulation, Parallel Current Source Inverters and Load-Commutated Inverter.

PWM Current Source Rectifiers:

Single-Bridge Current Source Rectifier, Dual-Bridge Current Source Rectifier, Active Damping

Control and Power Factor Control.

Matrix Converters: Introduction

References:

1. High-Power Converters and AC Drives, Second Edition Bin Wu and Mehdi Narimani 2. High-Power Converters and ac Drives. By Bin Wu © 2006 The Institute of Electrical and Electronics

Engineers, Inc.

3. Abu-Rub, A. Iqbal, J. Guzinski: High Performance Control of AC Drives with Matlab/Simulink Models, John Wiley & Sons Ltd., ISBN: 978-0-470-97829-0, 2012 (500 pages).

4. Modular Multilevel Converters: Analysis, Control, and Applications (IEEE Press Series on Power Engineering) Hardcover – Import, 9 Feb 2018 by Sixing Du (Author), Apparao Dekka (Author), Bin Wu (Author), Navid Zargari (Author)

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E36/ MEE3O74

Course Title Wind Energy Conversion Systems

Number of Credits 3

Course Type Elective/ Open Elective

Course Outcomes:

Upon completion of the course, the students will be able to

CO1. To understand and analyze of wind energy conversion. CO2. To analyze the electrical generators used for wind energy conversion. CO3. To understand the self-excitation phenomenon in induction machine and its applications. CO4. To understand the control schemes for extracting maximum energy associated with wind. CO5. To understand the power quality issues and economics of wind energy.

Course Content:

Introduction: Historical developments and current status of wind power, Wind characteristics,

Wind energy conversion system, Wind Turbines: Technological developments, Aerodynamics

of wind turbines.

Wind Power Generators: Construction and working of asynchronous & permanent magnet

synchronous generators, modeling of magnetization curve, Steady state and transient

analysis.

Static Control: Control modeling, various control schemes for cage and wound rotor induction

generators, Maximum power point tracking.

Issues of Wind Power Generation: Basic integration issues, Behaviour of wind turbines during

dynamic changes in grid, power quality issues of wind energy, Wind energy economics

References:

1. ‘Wind power in power system’, edited by Thomas Ackermann, John Wiley & Sons Ltd., 2005.

2. ‘Variable Speed Generators’, Ion Boldea, CRC Press, 2006.

3. ‘Renewable energy – Power for Sustainable Future’.Edited by Godfrey Boyle.Oxford University Press, 2010.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E38

Course Title Advanced Electric Drives

Number of Credits 3

Course Type Elective

Pre-requisite Power Electronics, basics of converter topology (AC-

DC,AC-AC & DC-DC), Electric Drives

Course Outcomes

Upon completion of the course, the students will be able to

CO1. Understand about various advanced electric drive systems

CO2. Choose proper electric drive system to a particular application

CO3. Apply Engineering Knowledge in various control techniques to the electric drive systems.

CO4. To study the torque dynamics of DC machine,

Course Contents

Review of Power Converter and Modulation Techniques: Modeling of Power Converters,

Sinusoidal Pulse-Width Modulation, Space Vector Pulse-Width Modulation.

Induction Motor Drives: Field oriented control- Direct and indirect field orientation, stator-flux,

rotor-flux and airgap-flux orientation. Flux-torque decoupling, Extended speed operation and

Field weakening.

Direct torque control of Induction Motor, Flux and speed observers, Induction generators, Doubly

Fed Induction Machines (DFIM): Different modes of operation, Equivalent circuit, Active and

reactive power control, Vector control of DFIM.

Identification of Induction Motor Parameters: Linear Model, Nonlinear least square identification,

Parameter error indices. Speed sensorless control: Signal injection and model based

techniques, zero/low speed operation.

Synchronous Motor Drives, Vector controled Cycloconverter fed Drive, Parameter estimation and

sensorless control.

Introduction to PM Synchronous Motor, Various rotor configurations of PMSM, Sinusoidal Back-

Emf, Field oriented control, Direct torque control. Interior PM Machine: Maximum torque per

ampere control, Field weakening.

Introduction to Brushless DC Motor: EMF and Torque of BLDC machine, Voltage Source Inverter

fed BLDC: Half-wave and Full-wave operation, Speed control, Torque ripple minimization,

Sensorless operation.

Reference Books

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1. Werner Leonhard, Control of Electrical Drives, 3rd edition, Springer 2001

2. R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control, Prentice Hall,

edition 1, 2001.

3. Bimal K Bose, Modern Power Electronics and AC Drives, Prentice Hall, edition 1,

2001

4. P. Vas, "Sensorless Vector and Direct Torque Control", Oxford University Press, 1998.

5. Ramu Krishnan, “Permanent Magnet and BLDC Motor Drives”, CRC Press.

6. N. Mohan, "Advanced Electric Drives: Analysis, Control and Modeling using Simulink",

MNPERE

7. Recent Journal and conference papers in this area.

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MASTER OF TECHNOLOGY (ELECTRICAL ENGINEERING)

POWER ELECTRONICS & DRIVES W.E.F. 2019-20

Course Code MEE3E40/ MEE3O76

Course Title Power Converters for Renewable Energy Systems

Number of Credits 3

Course Type Elective/ Open Elective

Pre-requisite

Power Electronics course in UG with knowledge on

basics of semiconductor switches, basics of

converter topology (AC-DC,AC-AC & DC-DC), basic

control techniques of Power Electronic equipment

Course Outcomes

Upon completion of the course, the students will be able to

CO1. Understand the principles of operation of advanced PWM converters. CO2. Appraise various advanced converter topologies and the suitable control schemes. CO3. Recognize recent developments in design aspects of renewable power conversion

systems. CO4. Applying Engineering Knowledge in the the Field of power converters

Course Contents:

Advanced Converters

Drawbacks of conventional converters & Inverters, Multi-pulse converters & Inverters, Improved

power quality ac-dc converters such as single-phase buck, boost, buck-boost ac/dc

converters, PWM (Pulse width modulated) based single- phase, three-phase VSC (Voltage

source converters), Current Source Inverters.

Multilevel Converters/ Inverters

Advance converter topologies for PEE - Interleaved converters, multilevel converters (Cascaded H-

Bridge, Diode clamped, NPC, Flying capacitor) multi pulse PWM current source converters,

advanced control schemes, Capacitor unbalance

PWM Schemes

Conventional PWM schemes & their performance, Multilevel PWM Schemes, Hybrid PWM

schemes, Power converter topologies for solar and wind– Control of dc-dc converter,

inverters and relevant

Case Studies

Literature- MLI Applications in Drives and power quality, Hybrid converters- Inverters- Closed Loop

Renewable Energy conversion systems- PV power conversion using MLIs.

Reference Books

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1. N. Mohan, T. M. Undeland and W. P. Robbins, Power Electronics Converter Application and Design, Third Edition, John Willey & Sons, 2004.

2. M. H. Rashid, Power Electronics, Circuits, Devices and Applications, Pearson, 2002, India. 3. K. Billings, Switch Mode Power Supply Handbook, McGraw-Hill, 1999, Boston. 4. Bin Wu, High-Power Converters and AC Drives, IEEE Press, A John Wiley & Sons, Inc

Publication, New York,2006. 5. Relevant literature review for case studies and course applications.

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1

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M.Tech. 1st Semester Electrical Engineering (PEC&D)

Machines & Drives Lab, MEE3L03 Duration 3 hours, Credit point 2

ROTOR - I

1. To study the Schrage motor drive system.

2. To study the voltage control of three phase induction motor under following operating modes

i) Constant speed operation ii)Constant current operation Plot the variation of input power, power factor and efficiency with applied voltage.

3. MATLAB based simulations and analysis of chopper fed separately

excited DC motor control at I) No load II) Full load.

4. To study the various types of electrical braking of DC motors. Compare the experimental results obtained.

5. PSIM based simulations and analysis of static voltage control of

three phase induction motor under no load and full load

operations.

ROTOR - II

1. To study the effects of unbalanced supply system on the performance of three phase induction phase induction motor using MATLAB /SIMULINK, with degree of unbalance as i) 2% ii) 3 % iii) 10%. Plot the variation of currents, losses and efficiency with degree of unbalance.

2. To study the effects of rotor slots on the performance of cage

induction motors using PC-IMD.

3. To study the inrush current of induction motor using power quality

analyser. Discuss the methods to control it.

4. PSIM based simulations and analysis of rotor resistance control of three phase wound rotor induction machine with i) 25% of rated load

ii) 60 % of rated load iii) Rated load. Discuss the effect of rotor resistance on line current, torque and speed of the machine.

5. Frequency control of three phase induction motor with i. Constant voltage operation ii) Constant V/F operation Plot the power factor, current, speed and output with frequency. Discuss the

results

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Annexure – II

Electrical Engineering Department Faculty List 2020-2021(CAY)

Name of

the

faculty

member

Qualification

Ass

ocia

tion

with

the

Inst

itut

e

De

sig

nat

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Dat

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whi

ch

Des

ign

ate

d as

Pro

fess

or/

Ass

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Dat

e of

Join

ing

the

insti

tuti

on

Specialization

Academic Research

Cu

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ass

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(y/

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te

of

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g (

In

cas

e

Cu

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Nat

ure

of

Ass

ocia

tion

(Re

gula

r/C

ontr

act)

Research

Publications

Ph.D.

Guidance

Faculty

receiving

Ph.D.

during

the

Assessme

nt Years

Degree

(highest

degree)

University

Year of

Gradua

tion

A Swarup Ph.D. IIT Delhi 1993 38 Profe

ssor

10.04.

1997

29.07.

1981

Control Systems, Robust

Control, Renewable Energy,

Robotic Control

133 11 - Y R

K S

Sandhu Ph.D.

REC

Kurkshetra

KU

2001 36

Profe

ssor

25.02.

2006

21.01.

1983

Renewable Energy, Electrical

Machines & Drives, Power

Quality & Distribution

215 12 -- Y R

Page 131: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 128 of 147

Generation

Lillie

Dewan Ph.D.

Kurukshetra

University

,Kurukshetra

2001 35

Profe

ssor

24.01.

2008

01.08.

1984

Control Systems, Robust

Control, Instrumentation,

Signal Processing

115 10 -- Y R

R S Bhatia PhD

Kurukshetra

University

,Kurukshetra

2009 31 Profe

ssor

01.01.

2009

21.05.

1988

Power Quality, FACTs, Power

Systems 54 7 Y R

G L Pahuja Ph.D. KU

Kurukshetra 2006 35

Profe

ssor

01.01.

2009

04.04.

1984

Reliability Engineering &

Fault Tolerant Systems,

Control Systems

65 6 _ Y R

RatnaDahi

ya PhD

KU

Kurukshetra 2002 36

Profe

ssor

01.07.

2009

24.01.

1983

Power Systems, Power

Electronics, FACTs 172 16 _ Y R

L M Saini PhD

Kurukshetra

University

,Kurukshetra

2002 31 Profe

ssor

01.01.

2010

21.05.

1988

(Analog, Power, Digital)

Electronics, Embedded

Systems, Microprocessor,

Biomedical Engineering

Till 2019:

127

Till

2019: 7 _ Y R

Ashwani

Kumar Ph.D.

IIT Kanpur,

India 2003 25

Profe

ssor

01.08.

2013

06.10.

1994

Power Systems, Distributed

Generation, Renewable

Sources Integration

212 4 Y R

JyotiOhri Ph.D. NIT

Kurukshetra 2010 25

Profe

ssor

01.08.

2013

30.09.

1994

Control Systems, Robust

Control, Intelligent Control 115 7 Y R

J S Lather Ph.D.

RECK,

Kurukshetra

University,

Kurukshetra

2004 25 Profe

ssor

01.08.

2013

30.08.

1994

Control Systems, Robust

Control, Power Systems,

Micro-Grids

67 4 -- Y R

Sathans PhD NIT

Kurukshetra 2013 25

Profe

ssor

01.08.

2013

09.12.

1994

Intelligent Control,

Applications to Power

Systems

69 6 - Y R

Page 132: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 129 of 147

Yashpal PhD NIT

,Kurukshetra 2013 23

Profe

ssor

01.08.

2013

19.03.

1996

Power Electronics & Devices,

Power Quality and Renewable

Energy Sources

71 8 Y R

K K

Sharma Ph.D.

NIT

Kurukshetra

Pursuin

g 30

Assoc

iate

Profe

ssor

01.07.

2010

02.08.

1989

Power Electronics, Drives,

Renewable Energy 30 0 Y R

SunitaChau

han M.Tech.

REC

Kurukshetra

(KUK

University)

1993 30

Assoc

iate

Profe

ssor

02.01.

2006

02.08.

1989

Electrical Circuit, Reliability,

Optimization Techniques 30 0 Y R

RupanshiB

atra M.Tech.

REC

Kurukshetra

(KUK

University)

1990 28

Assoc

iate

Profe

ssor

01.07.

2007

07.08.

1991

Control Systems,

Measurement, Reliability,

Networks

11 _ _ Y R

Monika

Mittal Ph.D.

NIT

Kurukshetra,

Haryana,

India

2014 25

Assoc

iate

Profe

ssor

01.07.

2008

26.08.

1994

Control Systems, Signal

Processing Application in

Control Systems

70 05 In

progress Jan 2014 Y R

SaurabhCh

anana Ph.D.

NIT

Kurukshetra 2011 21

Assoc

iate

Profe

ssor

22.08.

2013

24.08.

1998

Power Systems Operation,

Control and Economics, High

Voltage Engineering

83 3 - Y R

Shelly

Vadhera Ph.D.

NIT

Kurkshetra 2013 21

Assoc

iate

Profe

ssor

22.08.

2013

24.08.

1998

Power Systems, Renewable

Energy 14 6 - Y R

Anil

Kumar PhD

NIT

Kurukshetra 2013 18

Assist

ant

Profe

10.09.

2001

10.09.

2001

Power Systems, FACTs

Controller, Renewable Energy 13 2 Y R

Page 133: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 130 of 147

Dahiya ssor

BhanuPrata

p Ph. D.

MNNIT

Allahabad 2013 6

Assist

ant

Profe

ssor

27.05.

2013

Intelligent Control of

Nonlinear Systems, Control

Applications to Renewable

Energy Systems

39 04

Received

during

2013-

2014

Y R

ShashiBhus

han Singh Ph.D.

M.N.N.I.T

ALLAHABA

D

2016 6

Assist

ant

Profe

ssor

10.09.

2013

Power Quality, Control issue

in Renewable Energy 10 0

Received

during

2016

Y R

Pradeep

Kumar

PhD MNNIT

Allahabad 2016 6

Assist

ant

Profe

ssor

10.09.

2013

Power Systems, Microgrids

Operation and Energy

Management

15 0

Received

during

2016

Y R

Atma Ram

Gupta Ph.D.

NIT

Kurukshetra 2018 6

Assist

ant

Profe

ssor

NA 04.03.

2013

Power Systems, High Voltage

Engineering, Application of DG

& D-FACTs in Distribution

Systems

30 NA NA Y R

MPR

Prasad Ph.D.

NIT

Kurukshetra 2018 6

Assist

ant

Profe

ssor

16.05.

2013

Marine Control Systems,

Instrumentation 8 0

May-

2018 Y R

Sandeep

Kakran Ph.D.

NIT

Kurukshetra,

India

2018 6

Assist

ant

Profe

ssor

02.09.

2013

Power Systems, Smart Grid,

Demand Side Energy

Management

16 0 2018 Y R

Rahul

Sharma Ph.D.

NIT

Kurukshetra 2018 6

Assist

ant

Profe

ssor

06.09.

2013

Power Electronics, Machines

& Electrical Drives 13 0 2018 Y R

Page 134: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 131 of 147

Kiran

Kumar

Jaladi

Ph.D. NIT

Kurukshetra 2019 6

Assist

ant

Profe

ssor

13.09.

2013

Electrical Machines and

Renewable Energy 06 0 2019 Y R

Shivam Ph.D. NIT

Kurukshetra 2018 6

Assist

ant

Profe

ssor

16.09.

2013

Power Quality issues in DC

and AC Microgrid with

Renewable Energy Sources

15 1 2018 Y R

Amit

Kumar Ph.D.

NIT

Kurukshetra 2018 6

Assist

ant

Profe

ssor

23.09.

2013

Application of Soft Computing

Techniques to Power System

Operation andControl,

Renewable Energy Integration

and FACTs Devices

15 0 2018 Y R

Kulbir

Singh M.Tech.

Kurukshetra

University

,Kurukshetra

2010 8 Asst.

Prof

28/7/1

1

28/7/1

1 Electronics and

communication Engineering 01 _ _ Y C

Gaurav

Sharma M.Tech.

NIT

Kurukshetra 2015 6

Asst

Prof.

Contr

act

- 08.01.

2016 Power Systems 02 - - Y C

Amandee

p Kaur M.Tech.

Thapar Inst

of Engg.

And Tech.

2014 7

Asst

Prof.

Contr

at

- 27.07.

2015

Power Systems and Electric

Drives 02 - - Y C

Page 135: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 132 of 147

Electrical Engineering Department Faculty List 2019-2020(CAYm1)

Name of

the

faculty

member

Qualification

Ass

ocia

tion

with

the

Inst

itut

e

De

sig

nat

ion

Dat

e

on

whi

ch

Des

ign

ate

d as

Pro

fess

or/

Ass

oci

ate

Dat

e of

Join

ing

the

insti

tuti

on

Specialization

Academic Research

Cu

rre

ntl

y

ass

oci

ate

d

(y/

N)

Da

te

of

lea

vin

g (

In

cas

e

Cu

rre

ntl

y)

Nat

ure

of

Ass

ocia

tion

(Re

gula

r/C

ontr

act)

Research

Publications Ph.D. Guidance

Faculty

receiving

Ph.D.

during

the

Assessme

nt Years

Degree

(highest

degree)

University

Year of

Gradua

tion

A Swarup Ph.D. IIT Delhi 1993 Profe

ssor

01.02.

1997

29.07.

1981

Control Systems,

Robust Control,

Renewable Energy,

Robotic Control

107 08 - Y R

K S

Sandhu Ph.D.

REC

Kurkshetra

KU

2001

Profe

ssor

25.02.

2006

21.01.

1983

Renewable Energy,

Electrical Machines

& Drives, Power

Quality &

Distribution

204 11 -- Y R

Page 136: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 133 of 147

Generation

Lillie

Dewan Ph.D.

Kurukshetra

University

,Kurukshetra

2001

Profe

ssor

024.01

.2008

01.08.

1984

Control Systems,

Robust Control,

Instrumentation,

Signal Processing

107 8 -- Y R

R S Bhatia PhD

Kurukshetra

University

,Kurukshetra

2009 Profe

ssor

01.01.

2009

21.05.

1988

Power Quality,

FACTs, Power

Systems

52 7 Y R

G L Pahuja Ph.D. KU

Kurukshetra 2006

Profe

ssor

01.01.

2009

04.04.

1984

Reliability

Engineering & Fault

Tolerant Systems,

Control Systems

65 6

Received

during

2005-6

Y R

RatnaDahi

ya PhD

KU

Kurukshetra 2002

Profe

ssor

01.01.

2009

24.01.

1983

Power Systems,

Power Electronics,

FACTs

166 16 Y R

L M Saini PhD

Kurukshetra

University

,Kurukshetra

Profe

ssor

01.01.

2010

21.05.

1988

(Analog, Power,

Digital) Electronics,

Embedded Systems,

Microprocessor,

Biomedical

Engineering

Till 2018: 126 Till 2018: 7 Y R

Ashwani

Kumar Ph.D.

IIT Kanpur,

India 2003

Profe

ssor

01.08.

2013

06.10.

1994

Power Systems,

Distributed

Generation,

Renewable Sources

Integration

176 4 Y R

JyotiOhri Ph.D. NIT

Kurukshetra 2010

Profe

ssor

1.08.2

013

30.09.

1994

Control Systems,

Robust Control,

Intelligent Control

107 5 Y R

Page 137: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 134 of 147

J S Lather Ph.D.

RECK,

Kurukshetra

University,

Kurukshetra

2004 24 Profe

ssor

01.08.

2013

30.08.

1994

Control Systems,

Robust Control,

Power Systems,

Micro-Grids

60 5 -- Y R

Sathans PhD NIT

Kurukshetra 2013

Profe

ssor

01.08.

2013

09.12.

1994

Intelligent Control,

Applications to

Power Systems

66 6 Y R

Yashpal PhD NIT

,Kurukshetra 2013

Profe

ssor

01.08.

2013

19.03.

1996

Power Electronics

& Devices, Power

Quality and

Renewable Energy

Sources

68 8 Y R

K K

Sharma Ph.D.

NIT

Kurukshetra

Pursuin

g

Assoc

iate

Profe

ssor

01.07.

2010

02.08.

1989

Power Electronics,

Drives, Renewable

Energy

30 0 Y R

SunitaChau

han M.Tech.

REC

Kurukshetra

(KUK

University)

1993

Assoc

iate

Profe

ssor

02.01.

2006

02.08.

1989

Electrical Circuit,

Reliability,

Optimization

Techniques

25 0 Y R

RupanshiB

atra M.Tech.

REC

Kurukshetra

(KUK

University)

1990

Assoc

iate

Profe

ssor

01.07.

2007

07.08.

1991

Control Systems,

Measurement,

Reliability,

Networks

11 _ _ Y R

Monika

Mittal Ph.D.

NIT

Kurukshetra,

Haryana,

India

2014

Assoc

iate

Profe

ssor

01.07.

2008

29.08.

1994

Control Systems,

Signal Processing

Application in

Control Systems

65 02 In progress Jan 2014 Y R

SaurabhCh Ph.D. NIT 2011 Assoc

iate 22.08. 24.08.

Power Systems

Operation, Control 49 0 0 Y R

Page 138: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 135 of 147

anana Kurukshetra Profe

ssor

2013 1998 and Economics,

High Voltage

Engineering

Shelly

Vadhera Ph.D.

NIT

Kurkshetra 2013

Assoc

iate

Profe

ssor

22.08.

2013

24.08.

1998

Power Systems,

Renewable Energy 14 6 - Y R

Anil

Kumar

Dahiya

PhD NIT

Kurukshetra 2013

Assist

ant

Profe

ssor

10.09.

2001

Power Systems,

FACTs Controller 9 2 Y R

BhanuPrata

p Ph.D

MNNIT

Allahabad 2013

Assist

ant

Profe

ssor

27.05.

2013

Intelligent Control

of Nonlinear

Systems, Control

Applications to

Renewable Energy

Systems

20 04 2013-

2014 Y R

ShashiBhus

han Singh Ph.D.

M.N.N.I.T

ALLAHABA

D

2016

Assist

ant

Profe

ssor

10.09.

2013

Power Quality,

Control issue in

Renewable Energy

10 0

Received

during

2016

Y R

Pradeep

Kumar

PhD MNNIT

Allahabad 2016

Assist

ant

Profe

ssor

10.09.

2013

Power Systems,

Application of AI in

Power Systems

15 0 Yes Y R

Atma Ram

Gupta Ph.D.

NIT

Kurukshetra 2018 5

Assist

ant

Profe

ssor

NA 04.03.

2013

Power Systems,

High Voltage

Engineering,

Application of DG &

D-FACTs in

Distribution

27 NA

Received

during

2017-18

Y R

Page 139: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 136 of 147

Systems

MPR

Prasad Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

16.05.

2013

Marine Control

Systems,

Instrumentation

7 0 May-18 Y R

Sandeep

Kakran Ph.D.

NIT

Kurukshetra,

India

2018

Assist

ant

Profe

ssor

02.09.

2013

Power Systems,

Smart Grid,

Demand Side

Energy

Management

11 0 0 Y R

Rahul

Sharma Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

06.09.

2013

Power Electronics,

Machines &

Electrical Drives

13 nil no Y R

Kiran

Kumar

Jaladi

Ph.D. NIT

Kurukshetra 2019

Assist

ant

Profe

ssor

13.09.

2013

Electrical Machines

and Renewable

Energy

06 0 0 Y R

Shivam Ph.D. NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

16.09.

2013

Power Quality

issues in DC and AC

Microgrid with

Renewable Energy

Sources

11 0 07/05/

2018 Y R

Amit

Kumar Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

23.09.

2013

Application of Soft

Computing

Techniques to

Power System

Operation

andControl,

Renewable Energy

Integration and

6 0 0 Y R

Page 140: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 137 of 147

FACTs Devices

Kulbir

Singh M.Tech.

Kurukshetra

University

,Kurukshetra

2010 8 Asst.

Prof

28/7/1

1

28/7/1

1

Electronics and

communication

Engineering

01 _ _ Y C

Gaurav

Sharma M.Tech.

NIT

Kurukshetra 2015 6

Asst

Prof.

Contr

act

- 08.01.

2016 Power Systems 02 - - Y C

Amandee

p Kaur M.Tech.

Thapar Inst

of Engg.

And Tech.

2014 7

Asst

Prof.

Contr

at

- 27.07.

2015

Power Systems

and Electric Drives 02 - - Y C

Page 141: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 138 of 147

Electrical Engineering Department Faculty List 2018-2019(CAYm2)

Name of

the

faculty

member

Qualification

Ass

ocia

tion

with

the

Inst

itut

e

De

sig

nat

ion

Dat

e

on

whi

ch

Des

ign

ate

d as

Pro

fess

or/

Ass

oci

ate

Dat

e of

Join

ing

the

insti

tuti

on

Specialization

Academic Research

Cu

rre

ntl

y

ass

oci

ate

d

(y/

N)

Da

te

of

lea

vin

g (

In

cas

e

Cu

rre

ntl

y)

Nat

ure

of

Ass

ocia

tion

(Re

gula

r/C

ontr

act)

Research

Publications

Ph.D.

Guidance

Faculty

receiving

Ph.D.

during

the

Assessme

nt Years

Degree

(highest

degree)

University

Year of

Gradua

tion

A Swarup Ph.D. IIT Delhi 1993 Profe

ssor

01.02.

1997

29.07.

1981

Control Systems, Robust

Control, Renewable Energy,

Robotic Control

107 08 - Y R

K S

Sandhu Ph.D.

REC

Kurkshetra

KU

2001

Profe

ssor

25.02.

2006

21.01.

1983

Renewable Energy, Electrical

Machines & Drives, Power

Quality & Distribution

Generation

187 9 -- Y R

Page 142: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 139 of 147

Lillie

Dewan Ph.D.

Kurukshetra

University

,Kurukshetra

2001

Profe

ssor

024.01

.2008

01.08.

1984

Control Systems, Robust

Control, Instrumentation,

Signal Processing

99 8 -- Y R

R S Bhatia PhD

Kurukshetra

University

,Kurukshetra

2009 Profe

ssor

01.01.

2009

21.05.

1988

Power Quality, FACTs, Power

Systems

50

7 Y R

G L Pahuja Ph.D. KU

Kurukshetra 2006

Profe

ssor

01.01.

2009

04.04.

1984

Reliability Engineering &

Fault Tolerant Systems,

Control Systems

65 4 _ Y R

RatnaDahi

ya PhD

KU

Kurukshetra 2002

Profe

ssor

01.01.

2009

24.01.

1983

Power Systems, Power

Electronics, FACTs 160 14 Y R

L M Saini PhD

Kurukshetra

University

,Kurukshetra

Profe

ssor

01.01.

2010

21.05.

1988

(Analog, Power, Digital)

Electronics, Embedded

Systems, Microprocessor,

Biomedical Engineering

Till 2017:

108

Till

2017:5 Y R

Ashwani

Kumar Ph.D.

IIT Kanpur,

India 2003

Profe

ssor

01.08.

2013

06.10.

1994

Power Systems, Distributed

Generation, Renewable

Sources Integration

172 4 Y R

JyotiOhri Ph.D. NIT

Kurukshetra 2010

Profe

ssor

1.08.2

013

30.09.

1994

Control Systems, Robust

Control, Intelligent Control 101 5 Y R

J S Lather Ph.D.

RECK,

Kurukshetra

University,

Kurukshetra

2004 23 Profe

ssor

01.08.

2013

30.08.

1994

Control Systems, Robust

Control, Power Systems,

Micro-Grids

47 7 - Y R

Sathans PhD NIT

Kurukshetra 2013

Profe

ssor

01.08.

2013

09.12.

1994

Intelligent Control,

Applications to Power

Systems

60 6 Y R

Yashpal PhD NIT 2013 Profe 01.08. 19.03. Power Electronics & Devices, 60 6 Y R

Page 143: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 140 of 147

,Kurukshetra ssor 2013 1996 Power Quality and Renewable

Energy Sources

K K

Sharma Ph.D.

NIT

Kurukshetra

Pursuin

g

Assoc

iate

Profe

ssor

01.07.

2010

02.08.

1989

Power Electronics, Drives,

Renewable Energy 30 0 Y R

SunitaChau

han M.Tech.

REC

Kurukshetra

(KUK

University)

1993

Assoc

iate

Profe

ssor

02.01.

2006

02.08.

1989

Electrical Circuit, Reliability,

Optimization Techniques 23 0 Y R

RupanshiB

atra M.Tech.

REC

Kurukshetra

(KUK

University)

1990

Assoc

iate

Profe

ssor

01.07.

2007

07.08.

1991

Control Systems,

Measurement, Reliability,

Networks

11 _ _ Y R

Monika

Mittal Ph.D.

NIT

Kurukshetra,

Haryana,

India

2014

Assoc

iate

Profe

ssor

01.07.

2008

29.08.

1994

Control Systems, Signal

Processing Application in

Control Systems

60 02 In

progress Jan 2014 Y R

SaurabhCh

anana Ph.D.

NIT

Kurukshetra 2011

Assoc

iate

Profe

ssor

22.08.

2013

24.08.

1998

Power Systems Operation,

Control and Economics, High

Voltage Engineering

47 0 0 Y R

Shelly

Vadhera Ph.D.

NIT

Kurkshetra 2013

Assoc

iate

Profe

ssor

22.08.

2013

24.08.

1998

Power Systems, Renewable

Energy 14 6 - Y R

Anil

Kumar

Dahiya

PhD NIT

Kurukshetra 2013

Assist

ant

Profe

10.09.

2001

Power Systems, FACTs

Controller 7 2 Y R

Page 144: SELF ASSESSMENT REPORT (SAR) Of M.Tech ...

Page 141 of 147

ssor

BhanuPrata

p Ph.D

MNNIT

Allahabad 2013

Assist

ant

Profe

ssor

27.05.

2013

Intelligent Control of

Nonlinear Systems, Control

Applications to Renewable

Energy Systems

20 04 2013-

2014 Y R

ShashiBhus

han Singh Ph.D.

M.N.N.I.T

ALLAHABA

D

2016

Assist

ant

Profe

ssor

10.09.

2013

Power Quality, Control issue

in Renewable Energy 10 0

Received

during

2016

Y R

Pradeep

Kumar

PhD MNNIT

Allahabad 2016

Assist

ant

Profe

ssor

10.09.

2013

Power Systems, Application of

AI in Power Systems 15 0 Yes Y R

Atma Ram

Gupta Ph.D.

NIT

Kurukshetra 2018 4

Assist

ant

Profe

ssor

NA 04.03.

2013

Power Systems, High Voltage

Engineering, Application of DG

& D-FACTs in Distribution

Systems

22 NA NA Y R

MPR

Prasad Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

16.05.

2013

Marine Control Systems,

Instrumentation 7 0 2018 Y R

Aeidapu

Mahesh PhD

NIT

kurukshetra 2018

Assist

ant

Profe

ssor

02.09.

2013

Power Electronics & Electric

Drives, Renewable Sources 14 -- -- Y R

Sandeep

Kakran Ph.D.

NIT

Kurukshetra,

India

2018

Assist

ant

Profe

ssor

02.09.

2013

Power Systems, Smart Grid,

Demand Side Energy

Management

4 0 0 Y R

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Page 142 of 147

Rahul

Sharma Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

06.09.

2013

Power Electronics, Machines

& Electrical Drives 13 nil no Y R

Kiran

Kumar

Jaladi

Ph.D. NIT

Kurukshetra 2019

Assist

ant

Profe

ssor

13.09.

2013

Electrical Machines and

Renewable Energy 06 0 2019 Y R

Shivam Ph.D. NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

16.09.

2013

Power Quality issues in DC

and AC Microgrid with

Renewable Energy Sources

8 0 0 Y R

Amit

Kumar Ph.D.

NIT

Kurukshetra 2018

Assist

ant

Profe

ssor

23.09.

2013

Application of Soft Computing

Techniques to Power System

Operation andControl,

Renewable Energy Integration

and FACTs Devices

6 0 0 Y R

Kulbir

Singh

Kulbir

Singh M.Tech.

Kuruks

hetra

Univers

ity

,Kuruks

hetra

2010 8 Asst.P

rof

28/7/1

1 28/7/11

Electronics

and

communica

tion

Engineering

01 _ _ Y

Gaurav

Sharma M.Tech.

NIT

Kurukshetra 2015 6

Asst

Prof.

Contr

act

- 08.01.

2016 Power Systems 02 - - Y C

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Page 143 of 147

Amandee

p Kaur M.Tech.

Thapar Inst

of Engg.

And Tech.

2014 7

Asst

Prof.

Contr

at

- 27.07.

2015

Power Systems and Electric

Drives 02 - - Y C

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Page 144 of 147

Declaration

The head of the institution needs to make a declaration as per the format given below:

I undertake that, the institution is well aware about the provisions in the NBA’s accreditation

manual concerned for this application, rules, regulations, notifications and NBA expert visit

guidelines in force as on date and the institute shall fully abide by them.

It is submitted that information provided in this Self-Assessment Report is factually correct. I

understand and agree that an appropriate disciplinary action against the Institute will be initiated

by the NBA in case any false statement/information is observed during pre-visit, post visit and

subsequent to grant of accreditation.

Date: (Dr. B.V.Ramana Reddy)

Place: Kurukshetra Head of the Institution with seal