Gundogdu, B., Gladwin, D.T. and Stone, D.A. (2019) Battery energy management strategies for UK firm frequency response services and energy arbitrage. In: The Journal of Engineering. The 9th International Conference on Power Electronics, Machines and Drives, 17-19 Apr 2018, Liverpool, UK. IET , pp. 4152-4157.
Abstract
Due to the increasing renewable penetration, there is potential for larger and faster grid frequency fluctuations increasing the risk of system instability. The National Grid Electricity Transmission, primary electricity transmission network operator in the UK, has introduced various frequency response services that are developed to provide a real-time response to deviations in the grid frequency. A battery energy storage system is a suitable choice for delivering such services. Here, a control algorithm is presented which generates a charge/discharge power output with respect to deviations in the grid frequency and the required specifications. Using the real UK electricity prices, an arbitrage control algorithm has been also developed to deliver different types of grid balancing services, while scheduling throughout the day for energy arbitrage. Simulation results show that the proposed algorithm delivers both dynamic and non-dynamic firm frequency response and also enhanced frequency response to specifications, while generating arbitrage revenue in the balancing market. Simulation results on a 1 MW/1 MWh lithium-titanate BESS are provided to verify the proposed algorithm based on the control of an experimentally validated battery model.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IET. This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Sep 2018 10:36 |
Last Modified: | 23 Aug 2019 10:52 |
Status: | Published |
Publisher: | IET |
Refereed: | Yes |
Identification Number: | 10.1049/joe.2018.8226 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135601 |