Zhou, M, Liu, C, Abiri Jahromi, A et al. (3 more authors) (2022) Revealing Vulnerability of N-1 Secure Power Systems to Coordinated Cyber-Physical Attacks. IEEE Transactions on Power Systems. ISSN 0885-8950
Abstract
Coordinated cyber-physical (CCP) attacks have attracted wide attention in power systems because of their potential to cause severe disturbance including cascading failures. However, as realistic power systems operate within the N-1 security criterion, existing CCP attacks may be in part mitigated. As such, this paper analyzes impacts of CCP attacks on the vulnerability of the power systems that employ the N-1 security constrained optimal power flow (SCOPF). Specifically, a tri-level model is proposed to analyze the CCP attack impacts, whereby the adversary coordinates a physical attack with cyber attacks to initiate and propagate post-contingency overload based on N-1 SCOPF. A methodology utilizing semidefinite programming (SDP) relaxation and primal-dual formulation is proposed to transform the tri-level model into a conic optimization, such that the model can be easily solved by SDP solvers. Case studies on the IEEE 14, 57, and 118 bus test systems demonstrate that the CCP attacks in power systems with N-1 security criterion are able to cause N-1-1 contingency and even trigger cascading failures.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. 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. |
Keywords: | Cyber-physical systems , power systems , coordinated cyber-physical attacks , tri-level optimization , N-1 security |
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: | 14 Jul 2022 09:43 |
Last Modified: | 14 Jul 2022 15:02 |
Status: | Published online |
Publisher: | IEEE |
Identification Number: | 10.1109/tpwrs.2022.3169482 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188986 |