Optimizing PV-battery energy storage for netzero emission traction power system through artificial rabbit optimization method

Li, Zhijian, Hu, Yihua, Ollerenshaw, Richard et al. (3 more authors) (2025) Optimizing PV-battery energy storage for netzero emission traction power system through artificial rabbit optimization method. Journal of Energy Storage. 117069. ISSN 2352-1538

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Item Type: Article
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© 2025 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Keywords: Artificial rabbit optimization (ARO),Battery energy storage system (BESS),Optimal configuration,Photovoltaic (PV)
Dates:
  • Accepted: 12 May 2025
  • Published (online): 19 May 2025
  • Published: 1 August 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 29 May 2025 09:10
Last Modified: 29 May 2025 09:10
Published Version: https://doi.org/10.1016/j.est.2025.117069
Status: Published online
Refereed: Yes
Identification Number: 10.1016/j.est.2025.117069
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