Mantar Gundogdu, B., Nejad, S., Gladwin, D.T. orcid.org/0000-0001-7195-5435 et al. (2 more authors) (2018) A Battery Energy Management Strategy for UK Enhanced Frequency Response and Triad Avoidance. IEEE Transactions on Industrial Electronics, 65 (12). pp. 9509-9517. ISSN 0278-0046
Abstract
This paper describes a control algorithm for a battery energy storage system (BESS) to deliver a charge/discharge power output in response to changes in the grid frequency constrained by the National Grid Electricity Transmission (NGET) - the primary electricity transmission network operator in the UK - whilst managing the state-of-charge (SOC) of the BESS to optimise the availability of the system. Furthermore, this paper investigates using the BESS in order to maximise Triad avoidance benefit revenues whilst layering other services. Simulation using a 2 MW/1 MWh lithium-titanate BESS validated model are carried out to explore possible scenarios using the proposed algorithms. Finally, experimental results of the 2MW/1MWh Willenhall Energy Storage System (WESS) verify the performance of the proposed algorithms.
Metadata
Item Type: | Article |
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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; enhanced frequency response; frequency stability; grid support; lithium-titanate; triad avoidance; Willenhall energy storage |
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: | 11 Apr 2018 10:28 |
Last Modified: | 03 Apr 2019 10:58 |
Published Version: | https://doi.org/10.1109/TIE.2018.2818642 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/TIE.2018.2818642 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129204 |