Gundogdu, B., Gladwin, D.T. orcid.org/0000-0001-7195-5435 and Stone, D.A. (2017) Battery SOC management strategy for enhanced frequency response and day-ahead energy scheduling of BESS for energy arbitrage. In: Battery SOC management strategy for enhanced frequency response and day-ahead energy scheduling of BESS for energy arbitrage. 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, 29 Oct - 01 Nov 2017, Beijing, China.
Abstract
The electricity system has to balance demand and supply every second, a task that is becoming evermore challenging due to the increased penetration of renewable energy sources and subsequent inertial levels. In the UK, a number of grid frequency support services are available, which are developed to provide a real-time response to changes in the grid frequency. The National Grid Electricity Transmission (NGET) - the primary electricity transmission network operator in the UK - has introduced a new faster frequency response service, called the Enhanced Frequency Response (EFR), which requires a response time of under one second. Battery energy storage systems (BESSs) are ideal choice for delivering such a service. In this paper a control algorithm is presented which supplies a charge/discharge power output with respect to deviations in the grid frequency and the ramp-rate limits imposed by NGET, whilst managing the state-of-charge (SOC) of the BESS to maximise the utilisation of the available energy capacity. Using the real UK market clearing prices, a forecasted battery state of charge (SOC) management strategy has been also developed to deliver EFR service whilst scheduling throughout the day for energy arbitrage. Simulation results demonstrate that the proposed algorithm delivers an EFR service within the specification whilst generating arbitrage revenue. A comparative study is also presented to compare the yearly arbitrage revenue obtained from the model of the Willenhall and an experimental Leighton Buzzard battery storage system. Simulation results on a 2MW/1MWh 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 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Battery energy storage; day-ahead market; energy arbitrage; enhanced frequency response; grid support; Lithium-Titanate |
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: | 01 May 2018 12:14 |
Last Modified: | 19 Dec 2022 13:49 |
Published Version: | https://doi.org/10.1109/IECON.2017.8217338 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/IECON.2017.8217338 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130033 |