Zhang, Y, Fei, M, Sun, Q et al. (3 more authors) (2022) Letter: A multi-objective and multi-constraint optimization model for cyber-physical power systems considering renewable energy and electric vehicles. IEEE/CAA Journal of Automatica Sinica. ISSN 2329-9266
Abstract
Dear editor To tackle the global challenges of climate change and energy security, building low carbon energy systems has become a research hotspot. Cyber-physical power systems (CPPSs) is an important infrastructure to link both energy and transport systems, two major sectors that are difficult to decarbonize, and it is necessary to establish CPPSs model to consider the integration of both renewable energy and electric vehicle (EV).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright, all rights reserved. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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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: | 21 Dec 2022 11:41 |
Last Modified: | 21 Dec 2022 11:41 |
Status: | Published online |
Publisher: | IEEE |
Identification Number: | 10.1109/jas.2022.106037 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194461 |