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REFERENCE PROJECT
POWER POTENTIAL 1
 

Energy Trading

Future Services

Core

Predictor

Anchor 3

Project  Title : Power Potantial Project 1

Year : 2019 (Phase 1 Trading)

User Case : Energy Trading combined with ANM (Transmission and Distribution)

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Market Traders / 3rd Party

Demand Response
Flexibility Providers

Energy Market Facililtation

Understanding prediction of Demand and Generation
Forecasting network constraints
Implementation of worlds first Reactive power energy market
Develop high speed voltage support system for transmission

 
Project Objectives

 

Energy Market - Virtual Power Plant (VPP)​

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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.

This project demonstrates an large distribution network. The system includes an interactive energy market where flexibility services (Active Power and Reactive Power) can be procured as part of an energy market for balancing services.

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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.

Transmission

Distribution

DER

Consumer

Energy Market
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Level 4 - Enterprise

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Level 3 - Control Centre

Level 2 - Substation

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Level 1 - Field

RTU

PAS

Market

Market

PAS

SCADA

ANM

Facilitate

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L1

DER 

L-1

DER 

Energy Market Process Flow

Notable Features

Primary Project Features

Worlds first reactive power market

VPP to transmission with active and reactive power dispatch

High speed voltage support with self dispatching droop response from DERs

Primary Benefits

Primary System Benefits

Stability support to transmission from distribution controlled assets.

ANM managed distribution constraints

Improved Tx voltage support 

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Network Data
 
Generators - 53

Busbars - 1612
Circuits - 1596
Circuit Breakers - 1532
Transformers - 362

 

Project Statistics

 Includes 4GSPs (33kV to 132kV) 

Managed Power  = 2304 MW (Typically)

Day-Ahead Market

Realtime

Demand Prediction

Generation Prediction

Future Services

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