Gundogdu, B., Nejad, S., Gladwin, D.T. orcid.org/0000-0001-7195-5435 et al. (1 more author)
(2017)
A Battery Energy Management Strategy for UK Enhanced Frequency Response.
In:
Industrial Electronics (ISIE), 2017 IEEE 26th International Symposium on.
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 19-21 Jun 2017, Edinburgh, UK.
IEEE
, pp. 26-31.
Abstract
Balancing the grid at 50 Hz requires managing many distributed generation sources against a varying load, which is becoming an increasingly challenging task due to the increased penetration of renewable energy sources such as wind and solar and loss of traditional generation which provide inertia to the system. In the UK, various frequency support services are available, which are developed to provide a real-time response to changes in the grid frequency. The National Grid (NG) – the main distribution network operator in the UK – have introduced a new and fast service called the Enhanced Frequency Response (EFR), which requires a response time of under one second. A battery energy storage system (BESS) is a suitable candidate for delivering such service. Therefore, in this paper a control algorithm is developed to provide a charge/discharge power output with respect to deviations in the grid frequency and the ramp-rate limits imposed by the NG, whilst managing the state-of-charge (SOC) of the BESS for an optimised utilisation of the available stored energy. Simulation results on a 2 MW/1 MWh lithiumtitanate 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. |
Keywords: | Battery Energy Storage; 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: | 12 Apr 2018 09:56 |
Last Modified: | 19 Dec 2022 13:49 |
Published Version: | https://doi.org/10.1109/ISIE.2017.8001218 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ISIE.2017.8001218 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129360 |