Informatik 7 Rechnernetze und Kommunikationssysteme Overview of Smart Grid Dr.-Ing. Abdalkarim Awad 14.10.2015
Informatik 7
Rechnernetze und
Kommunikationssysteme
Overview of Smart Grid
Dr.-Ing. Abdalkarim Awad
14.10.2015
The EU climate and energy package
The "20-20-20" targets are three key objectives for 2020:
A 20% reduction in EU greenhouse gas emissions from 1990 levels;
Raising the share of EU energy consumption produced from renewable resources to 20%;
A 20% improvement in the EU's energy efficiency
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Source: NASA
Source: Wikipedia
3
Situation in Germany
Source: BDEW
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Shares of energy sources to the electricity in Bavaria (2011)
Source: bayerische landesamt für statistik und datenverarbeitung
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Structure of the share of renewable energy sources in electricity generation in Bavaria (2011)
Source: bayerische landesamt für statistik und datenverarbeitung
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substantial amount of Renewable Energy
Is that good?
Do we have problems?
Solutions?
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What is Smart grid? „Definition“
“A smart grid is an electrical grid that uses information and communications technology to gather and act on information, such as information about the behaviors of suppliers and consumers, in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity” [Wikipedia]
Short Answer: Smart Grid = ICT + Power Grid
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Heat
demand
PV/T
Electricity
demand
Heat
storageBoiler
Battery
µCHP
Controller
Two-Way Power Flow
Two-Way Data Flow
Utility Company
Integration
of DER
Data/
Control
Smart meter
Smart Grid
E-Mobility
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Why Smart Meters? What are they good for?
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Provider:
billing,
dynamic rate
Operator:
adapt system
parameters,
detect outage
Internet/
NetworkCustomer:
transparent,
adjust power
usage
Who can benefit from Smart grid?
System operators
Normal user (e.g., Household)
The system
In some cases we have a win-win situation
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The “Smart Grid” will exploit:Distributed computing
Real-time communication
The “Smart Grid” will involve:Smart meters
Phasor Measurement Units (PMUs)
Higher band width capability
data communication network
The “Smart Grid” will enhance:Monitoring
Control
Protection
Optimization of interconnected elements operation.
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Source: Die Welt 14
Application: Demand Side Management
Shift some load from high demand periods to low demand periods
Economical Reasons
Technical Reasons
Time
Dem
and
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Economical Reasons
Different costs of different energy sources
To cover a load start with the cheapest one.
Avoid expensive energy sources
Time
Dem
and
Demand
Ele
ctric
ity P
rice /M
Wh
Merit-Order
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Energy Costs
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Day-ahead price
Day-ahead electricity prices are calculated for each hour of the day-ahead on the basis of demand and supply
Time
Time
Dem
and
Ele
ctric
ity P
rice /k
Wh
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Day-ahead price
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Day Ahead Electricity
Price from European
Energy Exchange AG
In Leipzig
ww
w.e
ex.c
om
Best time to charge a battery?
20
Day Ahead Electricity
Price from European
Energy Exchange AG
In Leipzig
Negative Price!
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Example (Losses)
5+j10 Ω
33 kV
2
1
4
186 22 24
21.5
3
186 22 24
Load Shifting
Load M
W
Load M
W
Compute Energy Losses
Load MW(P) I=P/(√3*33*1000) Losses(kW)=I2R
1 17.5 1.53
1.5 26.3 3.45
2 35 6.13
3 52.5 13.78
4 70 24.5
Load3 Phase 3 Phase
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Example (Energy Loss)
5+j10 Ω
33 kV
2
1
4
186 22 24
21.5
3
186 22 24
Load Shifting
Load M
W
Load M
W
Load MW(P) I=P/(√3*33*1000) Losses(kW)=I2R
1 17.5 1.53
1.5 26.3 3.45
2 35 6.13
3 52.5 13.78
4 70 24.5
Loss/Line=8*1.53+12*6.13+4*24.5
=183.8 kWh Loss=3*183.8 kWh
Loss/Line=8*3.45+12*6.13+4*13.7
8=156.3 kWh Loss=3*156.3 kWh
Load
Compute Energy Loss in the Transmission Line
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Savings
3*183.8-3*156.3
=82.5 kWh
Example (Costs)
5+j10 Ω
33 kV
2
1
4
186 22 24
21.5
3
186 22 24
Load Shifting
Load M
W
Load M
W
Time Cost (Euro/MWh)
0-8 20
8-12 30
12-16 40
16-22 50
22-0 20
Load
Compute Energy Costs
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Example (Costs)
5+j10 Ω
33 kV
2
1
4
186 22 24
21.5
3
186 22 24
Load Shifting
Load M
W
Load M
W
Time Cost (Euro/MWh)
0-8 20
8-12 30
12-16 40
16-22 50
22-0 20
Cost=1*8*20+2*2*20+2*4*30+2*4
*40+2*2*50+4*4*50=1800 EuroCost=1.5*8*20+2*2*20+2*4*30+2*4
*40+2*2*50+4*3*50=1680 Euro
Load
Compute Energy Costs
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Saving
=1800-1680
=120 Euro
How could be implemented?
Heat
demand
PV/T
Electricity
demand
Heat
storageBoiler
Battery
µCHP
Controller
Two-Way Power Flow
Two-Way Data Flow
Smart meter
When should I buy electricity?
I know, when it is cheap, but cheap is relative , is 20cent /kWh cheap?
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Problem: profit maximization
How much energy should be sold/bought
How much energy should be charged/discharged
The answer depends on many factorsCurrent price and price in the future
Current demand and demand in the future
Current production and production in the future
Current battery level
Charging and discharging efficiency
We have also several constraintsThe capacity of the battery
Maximum charging/discharging power to/from the battery
Time Production(kW) Demand(kW) Battery(kWh)
12-13 1.2 0.06 0
Example
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Day ahead price
Production forecast
Load forecast
Amount of power to export
Amount of power to import
Amount of power to store
Amount of power to retrieve
Elastic LoadAllocate the elastic load
Technical
Data
Controller
Power Management System
The controller solves an optimization problem to find
the best strategy to be followed to maximize the profitDr.-Ing. Abdalkarim Awad 28
Example2
Self-Healing: Automated Decentralized Control:
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Example2
Self-Healing: Automated Decentralized Control:
Got damaged
How to restore the
energy in the
disconnected part?
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Example2
Self-Healing-Automated Decentralized Control:
Several solutions
1- SW8 on
2- SW6 on
3-SW6 on SW2 on
SW4 off
4-SW10 on SW9 off
SW6 on
.....
Got damaged
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The multidisciplinary world of smart
grids
Control
Data Management
Optimization
Power Grid
Security and Privacy
Energy Market
Communication
AI
Smart Grid
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Contents
Overview
Basics of Power Systems
Applications
Communications Technologies
Renewable Energy
Demand Side Management
Standards & Interoperability
E-Mobility
Monitoring and Control
Privacy and Security
Market Mechanisms
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Basics of Power Systems
Loads and Generation
Power factor
3phase
Per unit
Economic Dispatch
Optimal Power Flow
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Smart Grid Applications
Volt and var control (VVC)
Fault detection, isolation and restoration (FDIR)
Demand response (DR) management
Distributed energy Resources (DER) integration and management
Wide area monitoring, protection and control (WAMPC)
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Communications Technologies
Network architectureHome Area Networks, Neighborhood Area Networks, Wide Area Networks
Wireless CommunicationZigBee, WSN, 6LoWPAN, WiFi, WiMAX, Mobile Communication (GPRS, UMTS, LTE), Satellite
Wired CommunicationPower Line Communication (PLC), DSL, Ethernet, Fiber, ...
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Renewable & DER Integration
Importance
Types
Construction
Contribution (size)
Cost and challenges
Energy Storage
Feed-in Tariff
Goals and challenges (In Germany)
Module1
Module2
Module3
Module4
+
-
SP
Module1
Module2
Module3
Module4
+
-
AP
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Demand Side Management (DSM)
Direct and Indirect DSM
Autonomous DSM
Optimal operation
Price prediction
Managing user side Storage and Generation
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E-mobility (Electric Vehicles)
Electric vehicle network
Batteries
Plug-in Hybrid Electric Vehicles (PHEV)
Challenges
ImportanceGeneration
33%
Trans.
94%Plug-to-Wheels
76%
Refining
82%Trans.
98%
Pump-to-Wheels
16%
31%
80%
= 23%
=
13%Source: http://www.nesea.orgDr.-Ing. Abdalkarim Awad 39
Monitoring & Control
Sensors (number, location, data)
Optimal operation
Phasor Measurement Units (PMU)
SCADA
Requirements
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Standards & Interoperability
IEEE StandardsFor Example IEEE C37.118
IEC StandardsFor example IEC 61968 Distribution
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Security & Privacy
Importance
Challenges
IEC 62351 Security
IEEE 1686 Cyber Security Capabilities
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Air Condition (AC)
Refrigerator
EV charging Signal
Market Mechanisms
Day-ahead Price
Risk Management
Forecast
Merit Order
Situation in Deutschland (EEX www.eex.com)
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Week Lectures Exercises
12.10-16.10 Overview of Smart Grid No exercises
19.10-23.10 Basics of Power Systems1 Power Systems
26.10-30.10 Basics of Power Systems2 Power Systems Simulation
2.11-6.11 Applications Power Systems Simulation
9.11-13.11 Standards & Interoperability Optimization and
Applications
16.11-20.11 Demand Side Management Lab work
23.11-27.11 Communications Technologies -1 Demand Response (Profit
maximization)
30.11-4.12 Communications Technologies -2 TCP and UDP socket
Programming
7.12-11.12 Communications Technologies -3 IEEE C37.118
14.12-18.12 Communications Technologies -4 Lab work
23.12-6.1 Closed Closed
11.1-15.1 Privacy and Security Lab work
18.1-22.1 Renewable Energy sources Encryption and decryption
25.1-29.1 E-Mobility Lab work
1.2-5.2
Tentative Schedule
Literature
Literatur
[1] L. T. Berger, K. Iniewski, Smart Grid –Applications, Communications, and Security, Wiley, 2012.
[2] J. Ekanayake, K. Liyanage, J. Wu, A. Yokoyama, N. Jenkins, Smart Grid – Technology and Applications, Wiley, 2012
[3] Integration der erneuerbaren Energien in den deutsch-europäischen Strommarkt (Integration EE), Deutsche Energie-Agentur GmbH (dena), 2012
[4] Untersuchungen zu einem zukunftsfähigenStrommarktdesign, Energiewirtschaftliches Institutan der Universität zu Köln (ewi), 2012.
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Literature
[5] M. D. Galus, R. A. Waraich, F. Noembrini, K. Steurs, G. Georges, K. Boulouchos, K. W. Axhausen, and G. Andersson, Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control, IEEE Transactions on Smart Grid, VOL. 3, NO. 2, JUNE 2012.
[6] J. Lassila, J. Haakana, V. Tikka, and J. Partanen, Methodology to Analyze the Economic Effects of Electric Cars as Energy Storages, IEEE Transactions on Smart Grid, VOL. 3, NO. 1, MARCH 2012.
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Journals and conferences
IEEE Transactions on Smart Grid
IEEE Transactions on Sustainable Energy
IEEE Smartgridcomm
….
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