Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks

Kong, X; Lu, Z; Guo, X; Zhang, J; Li, H

Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks

Kong, X Lu, Z Guo, X Zhang, J

Li, H

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Reliability, 2024, 73, (1), pp. 245-256
Issue Date:: 2024-03-01

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Field	Value	Language
dc.contributor.author	Kong, X
dc.contributor.author	Lu, Z
dc.contributor.author	Guo, X
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722
dc.contributor.author	Li, H
dc.date.accessioned	2024-05-13T01:30:31Z
dc.date.available	2024-05-13T01:30:31Z
dc.date.issued	2024-03-01
dc.identifier.citation	IEEE Transactions on Reliability, 2024, 73, (1), pp. 245-256
dc.identifier.issn	0018-9529
dc.identifier.issn	1558-1721
dc.identifier.uri	http://hdl.handle.net/10453/178853
dc.description.abstract	With the further development of the smart grid, the modern power system has evolved into a cyber-physical power system (CPPS). In order to accurately quantify the resilience of a CPPS under cyber attacks, in this article, a resilience evaluation method for the CPPS considering the whole process of cyber attacks is proposed. First, the calculation model of successful attack probability is proposed based on the Markov node transition probability matrix and depth-first search algorithm. Second, based on the idea of nonsequential Monte-Carlo simulation, a mixed sampling method is proposed to determine the fault occurrence time and repair time of each circuit breaker in the fault set. In order to describe the change process of load after a successful attack, the response model of the power system is proposed using the optimal load reduction model based on the dc power flow. Four resilience evaluation indices for attack risk resistance, system adaptability, repair rate, and comprehensive weighted index are proposed to evaluate the resilience of CPPS considering cyber attacks. Finally, a case study is carried out based on the IEEE RTS 79 system to verify the effectiveness of the proposed resilience evaluation method.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Reliability
dc.relation.isbasedon	10.1109/TR.2023.3294264
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0906 Electrical and Electronic Engineering
dc.subject.classification	Operations Research
dc.subject.classification	4010 Engineering practice and education
dc.subject.classification	4612 Software engineering
dc.title	Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks
dc.type	Journal Article
utslib.citation.volume	73
utslib.for	0803 Computer Software
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-13T01:30:28Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	73
utslib.citation.issue	1

Abstract:

With the further development of the smart grid, the modern power system has evolved into a cyber-physical power system (CPPS). In order to accurately quantify the resilience of a CPPS under cyber attacks, in this article, a resilience evaluation method for the CPPS considering the whole process of cyber attacks is proposed. First, the calculation model of successful attack probability is proposed based on the Markov node transition probability matrix and depth-first search algorithm. Second, based on the idea of nonsequential Monte-Carlo simulation, a mixed sampling method is proposed to determine the fault occurrence time and repair time of each circuit breaker in the fault set. In order to describe the change process of load after a successful attack, the response model of the power system is proposed using the optimal load reduction model based on the dc power flow. Four resilience evaluation indices for attack risk resistance, system adaptability, repair rate, and comprehensive weighted index are proposed to evaluate the resilience of CPPS considering cyber attacks. Finally, a case study is carried out based on the IEEE RTS 79 system to verify the effectiveness of the proposed resilience evaluation method.

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http://hdl.handle.net/10453/178853