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REFERENCE PROJECT
UKPN - Power Potential

Virtual Power Plant / Energy Market

Core

Constraint Manager

Predictor

Virtual Power Plant

Future Services

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Project  Title : Cornwall ANM

Connecting DERs to SCADA / ANM
DER Configuration
DER Opersting Modes
Fundamentals of Loadflow
Thermal Constraint Management
Voltage Constraint Management
Automated Dispatch
Main System Functions

ANM - Level 3 / SCADA

ANM - Level 1 Controller

DER- Windfarm

User Case : DER Management

Year : 2015

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Network Data
 
Generators - 103
Busbars - 900
Circuits - 830
Circuit Breakers - 1320
Transformers - 220

 

Project Statistics

 Includes 3 GSPs (400 to 132kV) which have 9 Supergrid Transformers in total, each 240MVA

Max Demand = 1440 MW (Typically)

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Notable Features

Primary Benefits

Primary Project Features

First Realtime Loadflow in United Kingdom

Largest ANM System in Europe

Primary System Benefits

Accelerated DER Connections

Energy Market

Transmission

Distribution

DER

Consumer

Level 4 - Enterprise

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Level 2 - Substation

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RTU

SCADA

ANM

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Level 3 - Control Centre

Level 1 - Field

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L1

DER 

L-1

DER 

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Trade

Market

L-1

DER 

EMS

PAS

L-2

L-2

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Modules Included in the Project

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Generation Predictor
 

Main Functionality :

The Predictor provides short and long range predictions of Generation for use in the decision making processes. It uses neural forecasting to predict  DER output based on historical data and current weather forecasts , date time and other factors. It supports an active learning process where the neural model is continually learning from historical data to optimise the accuracy of the predictions.

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Main Functionality :

Virtual Power Plant
 

The Virtual Power Plant Module (VPP) can provide ongoing MW and MVAr support services at the point of delivery i.e. the Grid Supply Point. The VPP module determines the amount of MW and MVAr available in realtime from each of the participating DERs , allowing for network constraints and provides an aggregated MW and MVAr

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Future Services / Congestion Forecasting
 

Main Functionality :

Congestion forecasting integrates demand and generation predictions with thermal and voltage constraint management. Driven by the NOVA Prediction engine and live weather forecasts this module identifies possible network constraints and the level of DER curtailment required to mitigate them. The results can then be reported to planning engineers or utilised by market based modules to procure services ahead of time.

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Demand Prediction
 

Main Functionality :

The Predictor provides short and long range predictions of system loads for use in the decision making processes. It uses neural forecasting to predict  demand based on historical data. It supports an active learning process where the neural model is continually learning from historical data to optimise the accuracy of the predictions.

Project Process Flow

Day-Ahead Market

Realtime

Demand Prediction

Generation Prediction

Future Services

Virtual Power Plant

DER

SCADA / DMS System

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