Project Synthesis – Effective Regional Inertia Monitoring and Automatic Control with a Whole System Approach (T2)
Reference Number
NIA_SPEN_0072
Title
Project Synthesis – Effective Regional Inertia Monitoring and Automatic Control with a Whole System Approach (T2)
Status
Completed
Energy Categories
Other Cross-Cutting Technologies or Research(Energy system analysis)
Other Power and Storage Technologies(Electricity transmission and distribution)
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Applied Research and Development
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Systems Analysis related to energy R&D (Other Systems Analysis)
Principal Investigator
Project Contact
SPEN - SP Transmission Plc
SPEN - SP Transmission Plc
Award Type
Network Innovation Allowance
Funding Source
Ofgem
Start Date
01 April 2022
End Date
31 January 2023
Duration
ENA months
Total Grant Value
£350,000
Industrial Sectors
Power
Region
Scotland
Programme
Network Innovation Allowance
Industrial Collaborator
Project Contact, SP Energy Networks
Web Site
Objectives
The project will take into account the learnings from existing and previous innovation projects such as EFCC, TDI2.0, VISOR and MIGRATE, by applying and monitoring Effective Regional Inertia concept building on the infrastructure already established or trialled under those projects at different levels.The project will take the following form:Requirements capture and specifications: defining the control capabilities and resource management software functional specifications. Will include functionality, infrastructure, performance and cyber security requirements.Control capability development and testing by appropriate simulationsCriteria for potential demonstrationFeasibility and development of integrating other technologies, such as AIInitial development of software for coordination and tracking of resources. Analytics for machine learning, prediction, response evaluation.A Cost Benefit Analysis to predict the impact of deployment to the UK Grid.Additionally, this study will look to go beyond a previous collaboration between SPEN and SGN [under NIA funded feasibility study investigating the potential for Hydrogen generation in East Fife
Abstract
This project will quantify the potential viability of a range of technologies to act as network frequency response services across various timescales.
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Added to Database
14/10/22
