Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method

Zhang, L., Yang, Z., Xiao, Q. et al. (6 more authors) (2024) Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method. Energy and AI, 16. 100340. ISSN 2666-5468

Abstract

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2024 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Electric vehicle; Unit commitment; Renewable energy; Battery energy storage system; Synergy optimization
Dates:
  • Published: May 2024
  • Published (online): 20 January 2024
  • Accepted: 15 January 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 Jul 2024 10:52
Last Modified: 12 Jul 2024 10:52
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.egyai.2024.100340
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
  • Sustainable Development Goals: Goal 13: Climate Action
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