Projects: Projects for Investigator |
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Reference Number | NIA_SPEN_0053 | |
Title | Project Synthesis – Effective Regional Inertia Monitoring and Automatic Control with a Whole System Approach | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
Research Types | Applied Research and Development 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 30%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 70%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Project Contact No email address given SP Energy Networks |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 June 2020 | |
End Date | 31 December 2022 | |
Duration | ENA months | |
Total Grant Value | £350,000 | |
Industrial Sectors | Power | |
Region | Scotland | |
Programme | Network Innovation Allowance | |
Investigators | Principal Investigator | Project Contact , SP Energy Networks (100.000%) |
Industrial Collaborator | Project Contact , SP Energy Networks (0.000%) |
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Web Site | https://smarter.energynetworks.org/projects/NIA_SPEN_0053 |
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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. | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 02/11/22 |