Bi-level optimization of sizing and control strategy of hybrid energy storage system in urban rail transit considering substation operation stability

Dong, H., Tian, Z. orcid.org/0000-0001-7295-3327, Spencer, J.W. et al. (2 more authors) (2024) Bi-level optimization of sizing and control strategy of hybrid energy storage system in urban rail transit considering substation operation stability. IEEE Transactions on Transportation Electrification, 10 (4). pp. 10102-10114. ISSN 2332-7782

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Item Type: Article
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© 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Transportation Electrification is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Urban railway transit; hybrid energy storage system; bi-level optimization
Dates:
  • Published: December 2024
  • Published (online): 8 April 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jul 2024 15:58
Last Modified: 20 Feb 2025 14:54
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tte.2024.3385821
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
Open Archives Initiative ID (OAI ID):

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