UI-ASSIST: VIRTUAL WORKSHOP · 2020. 7. 21. · Energy Manageme nt 09 08 07 01 02 03 Sensing and Data Analytics Solar/ wind Forecasting and PV monitoring Load Profiling and Forecasting

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UI-ASSIST: VIRTUAL WORKSHOP

JULY 21 - 24, 2020

ABHEEJEET MOHAPATRA

IIT KANPUR

AND

KRISHNAN VENKATRAMAN

SYNERGY SYSTEMS & SOLUTIONS

Theme 6: DSO Functions/ Energy Management

India Updates

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➢ Coordinators – India: A Mohapatra (IITK), A R Abhyankar (IITD), S C

Srivastava (IITK)

➢ Coordinators – US: K Davies (HNEI), A Saber (ETAP), A Srivastava (WSU), A

Bose (WSU), A Annaswamy (MIT), C Singh (TAMU)

Theme-6: Coordinators and Objectives

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➢ Coordinators – India: A Mohapatra (IITK), A R Abhyankar (IITD), S C

Srivastava (IITK)

➢ Coordinators – US: K Davies (HNEI), A Saber (ETAP), A Srivastava (WSU), A

Bose (WSU), A Annaswamy (MIT), C Singh (TAMU)

➢ Main objective of this theme – Develop and test new algorithms/ methods

that will assist the DSO in

• Improved forecasting and monitoring of load and DERs

• Optimal operation and control of distribution system/ microgrid with various

DERs

• Coordinating between various DERs to attain economy and maintain reliability

• Interacting with TSO

Theme-6: Coordinators and Objectives

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Theme-6: Coordinators and Objectives

Theme 6

DSO

Functions/

Energy

Manageme

nt

09

08

07

01

02

03

Sensing and Data

Analytics

Solar/ wind

Forecasting and PV

monitoring

Load Profiling and

Forecasting

04System Reconfiguration

and State Estimation 06Distributed Volt/

Var

Control mechanism

Demand Side

Management

Reliability

Assessment

and Improvement

TSO/ DSO

Interactions

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Optimal Operation of

DERs

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Theme-6: Timeline

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Theme-6: Overview

➢ Sub – task 1: Sensing and data analytics

• Being done by US partners (WSU)

• Algorithms for anomaly detection in sensor data from micro PMUs

• Algorithms in other sub – tasks are to be tested and verified on this data

• Possible collaboration with IITK !!

➢ Sub – task 2: Solar/ wind forecasting and PV monitoring

• Novel RWT – ARIMA model for short – term wind speed forecasting (IITK)

• Various inertia estimation and enhancement techniques for PV and battery

connected systems (IITK)

• Possible collaboration with ETAP, HNEI !!

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Theme-6: Overview

➢ Sub – task 3: Load profiling and forecasting

• Several probabilistic based data – driven load forecasting models (ETAP)

• Machine – learning based solar PV forecasting and profiling/ aggregation

between household load and solar PV (HNEI)

• RWT – ARIMA based model for load forecasting (IITK)

• Possible collaboration with HNEI, ETAP !!

➢ Sub – task 4: System Reconfiguration and State Estimation

• Feeder voltage dependent network reconfiguration for loss reduction (IITD)

• Topology and parameter estimation with end-meter measurements (IITK)

• Multi – objective reconfiguration of unbalanced active networks (IITK)

• Distributed state estimation for three phase distribution network (IITK)

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Theme-6: Overview

➢ Sub – tasks 5/ 7: Optimal operation of DERs/ Demand Side Management

• Optimal day – ahead load scheduling using demand response for voltage

and frequency regulation in islanded microgrids (IITK)

• Optimal operation of networked microgrids (IITK)

• Real-time bilevel energy management of smart residential apartment

building (IITR)

• Graph-theoretic based load flow approach of three-phase distribution

network with distributed generations (IITR)

• Optimal operation of a converter governed AC/ DC hybrid distribution

network with DERs (IITR)

• Impact assessment of real time demand control on active AC/ DC hybrid

distribution networks (IITR)

• Collaboration with WSU, MIT, TAMU !!

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Theme-6: Overview

➢ Sub – task 6: Distributed volt/ var control mechanism

• Network clustering and proximal atomic coordination based distributed

volt/ var mechanism (MIT, WSU)

• Coordinated control of OLTC and energy storage for voltage regulation in

distribution network with high PV penetration (IITK)

• Impact of smart inverters in volt/ var optimization (IITK)

• Demand response incorporated volt/var optimization for unbalanced active

distribution systems with unbalance minimization (IITK)

• Collaboration with MIT, WSU !!

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Theme-6: Overview

➢ Sub – task 8: Reliability Assessment and Improvement

• This sub – task is being done by TAMU

• A two-state model for the battery, inverter and residential load system is

developed to assess the reliability of battery storage systems with loads

• Collaboration with IITK !!

➢ Sub – task 9: TSO/ DSO interaction

• Framework for investigating the economic impacts of AC – DC distribution

network on the consumers (IITR)

• TSO/ DSO coordinated load flow, optimal dispatch, contingency effects,

voltage stability assessment with little reciprocity of information at the

interfacing bus (IITD)

• Collaboration with MIT !!

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Theme-6: ADMS Implementation

• Indigenous setup at IITK with Synergy Systems

& Solutions

• Broad scope of work

❖ DMS functions and integration with

existing SCADA and MDM at IITK on ESB

❖ Integration of microgrid and storage

controllers with existing SCADA

❖ Local controller for rural pilot

• ADMS functions

❖ CIM based data model

❖ Network modeling and topology analyzer

❖ State estimation, power flow

❖ Volt/VAR optimization

❖ Feeder reconfiguration

❖ Switch order management

❖ Forecasting and profiling

❖ GIS mapping of IITK network

❖ ESB adapter for SCADA

❖ ADMS GUI

Int ernet

GPS Receiver

Exist ing IITK

Cont rol Cent re

Com ms.

Net work

SCADA

Server # 1

SCADA

Server # 2

Operator

Workst at ions

RTU

RTU

Exist ing

Subst at ions

Sm art

Meters

Exist ing Sm art -

M eters

MDM Head-

End Sof tware

ADM S SetupADMS

Server # 1

ADMS

Server # 2

Firewall

Web

Server

Fie ld

Infrast ruct ure

ESB Adapt er to

be im plem en ted

in exist ing

SCADA

ESB Adapt er to

be im plem en ted

in exist ing

SCADA

Ext ension of MMI

UI for ADMS

Funct ions

Im plem en tat ion

of ADMS

Funct ions

ADMS Setup

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SCADA

APPS

HISTORIAN

APPS

COMM. FE

RTU RTU RTU

MMI

PROTOCOL

MMI

OPC-UA

Server

ADMS

MODULES

ADMS

MODULES

ESB Adapt er

MARKET

APPS

OPC-UA

Client

SCADA ADMS

THIRD-PARTY APPS

GIS

Theme-6: ADMS Implementation

• Software architecture of ADMS

❖ ADMS application as a layer on top of

SCADA – real-time communications

interface with SCADA

❖ Each ADMS module designed as a plug

and play module – distributed

architecture possible across multiple

nodes

❖ Separate ADMS database independent

of SCADA – PostgreSQL RDBMS for

static information and persistence,

shared memory cache for real-time

updates

❖ ADMS database modelled around CIM –

web based CIM editor for defining the

network and export to RDF/ XML into

RDBMS schemaSoftware architecture

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Theme-6: ADMS Implementation

• Topology Processor

• Converts node-breaker model of CIM into equivalent bus-branch model

• Monitors switch status to derive

• Topological Nodes: A collection of interconnected connectivity nodes with zero-impedance

• Topological Islands: Independent networks consisting of topological nodes

• Topological Branches: Consists of two topological nodes connected via a conducting-equipment

• Load Flow

• Based on Teng’s Paper for Distribution System Load Flow

• Utilizes topological information generated by Topology Processor

• ESB adapter for MDM and ADMS –

• WSO2 used as ESB implementation

• It interacts with MDM over vendor-specific REST API

• WSO2 functions as MQTT broker

• Using RESTful HTTP and brokered message-queues

• ADMS functions as MQTT pub/sub client

W SO2 ESBM DM

REST API

AD M S

Dat a

MQTTNotification Dat aMQTT Broker

MDM-MQTT Sequence

MQTTSub

MQTTPub

MQTTNotification

IPC BUS

Subscribe Topics

Subscribe Topics

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• Enhance system inertia by dynamically adding virtual inertia

• BESS co-ordination with VVO, DR and unbalance management

• Robust network reconfiguration with uncertain and variable DERs

• Coordination of network reconfiguration with day-ahead VVO

• Distributed real-time energy management in active distribution network

• Distributed effective coordination among different users in a community to reduce overall peak demand

• Designing an energy market framework utilizing TSO-DSO coordination to make an optimal and effective utilization of resources while defining role of each entity, various ways of communication, and analyzing overall benefits

• ADMS implementation - Validation of LPF implementation, web-based HMI for visualization

• Collaborative efforts and activities !!

Theme-6: Future tasks and discussion

THANK YOU