Tan, S. orcid.org/0000-0002-3492-2391, Xie, P. orcid.org/0000-0002-6147-7342, Guan, Y. orcid.org/0000-0002-1968-1542 et al. (3 more authors) (2024) A resilient control framework for enhancing cyber-security in microgrids. In: Nørregaard Jørgensen, B., Ma, Z.G., Wijaya, F.D., Irnawan, R. and Sarjiya, S., (eds.) Energy Informatics. Energy Informatics.Academy Conference 2024 (EI.A 2024), 23-25 Oct 2024, Bali, Indonesia. Lecture Notes in Computer Science, 15272 . Springer Nature Switzerland , pp. 372-378. ISBN 9783031747403
Abstract
Microgrid security has become a critical concern due to the increasing reliance on communication technologies and a rising incidence of cyber-threats. While various attack detection and resilient control mechanisms have been developed to fortify microgrid defenses, most research still focuses on simplistic attack scenarios, often ignoring the complex interactions between multiple distributed generators within microgrids. To bridge this gap, this paper proposes a resilient secure control framework capable of addressing cyber-threats across multiple locations within a microgrid. The framework integrates state observations, robust control strategies, and time-varying graph theory to construct a robust defense mechanism. Simulation results are presented to validate the practicality and effectiveness of this approach, confirming its potential to enhance security for future microgrid against cyber-attacks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Energy Informatics 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: | Information and Computing Sciences; Cybersecurity and Privacy |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Nov 2024 14:23 |
Last Modified: | 14 Nov 2024 14:23 |
Status: | Published |
Publisher: | Springer Nature Switzerland |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-74741-0_24 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219589 |