To trade or not to trade: Simultaneously optimising battery storage for arbitrage and ancillary services

Biggins, F.A.V., Homan, S., Ejeh, J.O. et al. (1 more author) (2022) To trade or not to trade: Simultaneously optimising battery storage for arbitrage and ancillary services. Journal of Energy Storage, 50. 104234. ISSN 2352-152X

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 Elsevier Ltd. This is an author produced version of a paper subsequently published in Journal of Energy Storage. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Battery Storage; Ancillary Services; Classifier; Arbitrage; Auction Modelling; Machine Learning
Dates:
  • Published: June 2022
  • Published (online): 4 March 2022
  • Accepted: 12 February 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/L016818/1
The Department For Business, Energy & Industrial Strategy
n/a
Depositing User: Symplectic Sheffield
Date Deposited: 18 Feb 2022 10:29
Last Modified: 04 Mar 2023 01:13
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.est.2022.104234
Open Archives Initiative ID (OAI ID):

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