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Our solution for energy optimisation is based on the following key business objectives:

  • Creating weather adjusted forecasts for load and generation at different time-frames, in order to determine the nature, duration and frequency of expected network constraints.
  • Evaluating the suitability of flexibility services to resolve those constraints.
  • Communicating flexibility services requirements to the market and creating commercial agreements for those services.
  • Executing flexibility services including arming, execution, validation of delivery and payment.
  • Sharing information with interested parties to avoid conflicts in flexibility service use.
  • Reconcile & review deliver of the services post execution
Energy Optimisation Diagram
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Forecasting

The forecasting module will consist of two processes which will provide both a Demand Forecast and a Generation Forecast. The algorithms themselves will be analysed and designed as part of the academic work taking place during the first 6 months of the project. However they are expected to cover the following forecast horizons:

  • Week Ahead – To enable priming of flexibility services
  • Day Ahead – To enable arming of primed flexibility services
  • Within Day – To enable accurate utilisation of flexibility services

Data feeds for the forecasting algorithms are expected to include weather, location and historic load information although these inputs will also be reviewed as part of the design work.

The output from the Forecasting module will be taken in conjunction with the network constraints and used to identify periods where flexibility is required to manage the network.

Virtual Power Plant

As well as relying on other market participants to provide flexibility services, organisations may also have their own “directly connected” generation. The assets can either be used individual or can be combined into a “Virtual Power Plant” in order to deliver flexibility services.

Power plant
Cogs

Optimisation

The optimisation module will assess all requirements for flexibility and try to respond to them either using flexibility provided by external market participants or flexibility directly under DSO control.

The optimisation algorithm will be designed during the project but is also expected to take pricing information as an input.

The output of the optimisation process will be a flexibility service calendar.

Where flexibility is provided by external market participants this will be issued via the market interaction layer. The monitoring and execution of the service is then expected to be controlled by the individual participants.

Where flexibility is provided by directly controlled flexibility, information will be issued to the assets via the device interface.

Service Calendar

The Service Calendar is responsible for the scheduling of flexibility services as well as the co-ordination of these services with other market participants.

Calendar
Data flows

Market Interface

Once the requirement for flexibility has been identified, this will be issued to the Market (e.g. Suppliers, Aggregators) via an agreed mechanism. The design of this market interaction and the tendering process will be designed during the project.

The mechanism is likely to include a series of request / responses so that participants can bid for periods of flexibility, but will also include a notification process so that other market participants (e.g. National Grid) have visibility of when flexibility services are being scheduled / used.

Manage & Reconcile

This module provides two main components

  1. A set of reconciliation reports which will retrospectively analyse each service from both an operational and financial perspective
  2. A user interface which will allow users to monitor all aspects of the system
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