Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks

Du, D., Zhu, M., Wu, D. et al. (4 more authors) (2024) Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks. Applied Energy, 353. 122001. ISSN 0306-2619

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Item Type: Article
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© 2023 Elsevier Ltd. This is an author produced version of an article published in Applied Energy. Uploaded in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.

Keywords: Cyber–physical power system, Hybrid attacks, Attack detection, Distributed security state estimation, Convergence analysis, Carbon emissions
Dates:
  • Published: 1 January 2024
  • Published (online): 9 October 2023
  • Accepted: 19 September 2023
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: 02 Jul 2024 15:01
Last Modified: 09 Oct 2024 00:13
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.apenergy.2023.122001
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
Open Archives Initiative ID (OAI ID):

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