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Article: Small-Signal Angle Stability-Oriented False Data Injection Cyber-Attacks on Power Systems

TitleSmall-Signal Angle Stability-Oriented False Data Injection Cyber-Attacks on Power Systems
Authors
KeywordsBenders decomposition
Costs
cybersecurity
Eigenvalues and eigenfunctions
false data injection cyber-attack
Generators
Load flow
Mathematical models
moving target cyber-attack
Power system stability
small-signal angle stability
Stability criteria
structure preserving model
Issue Date1-Jan-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Smart Grid, 2023, v. 14, n. 1, p. 635-648 How to Cite?
AbstractThe small-signal angle stability (SSAS) of a power system is determined by the property of operation points. The widely applied false data injection (FDI) cyber-attack, however, is able to stealthily mislead the optimal power flow (OPF) and thus compromise operation points, leading to damages to the SSAS margin. To provide insights for cyber defenders, this paper proposes and investigates a stealthy SSAS-oriented FDI cyber-attack focusing on two attacking purposes, i.e., the SSAS margin and operation cost, with higher priority on the former one. First, this paper establishes a novel bi-level model with an implicit SSAS constraint based on a structure preserving model to compromise operation points. Then, for the SSAS interarea mode in a typical two-area system, this paper formulates closed-form expressions of how the SSAS margin and operation cost behave with respect to stealthy injections. By comparison, for the SSAS local mode in general power systems, this paper proposes a moving target cyber-attack-based hierarchical solution algorithm. Simulation results on a two-area system, a Kundur 11 bus system, and a modified IEEE 14 bus system demonstrate the significant damaging effects of the proposed SSAS-oriented FDI cyber-attack and the conflict between the two attacking purposes.
Persistent Identifierhttp://hdl.handle.net/10722/338407
ISSN
2021 Impact Factor: 10.275
2020 SCImago Journal Rankings: 3.571

 

DC FieldValueLanguage
dc.contributor.authorHou, J-
dc.contributor.authorWang, J-
dc.contributor.authorSong, Y-
dc.contributor.authorSun, W-
dc.contributor.authorHou, Y-
dc.date.accessioned2024-03-11T10:28:36Z-
dc.date.available2024-03-11T10:28:36Z-
dc.date.issued2023-01-01-
dc.identifier.citationIEEE Transactions on Smart Grid, 2023, v. 14, n. 1, p. 635-648-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/338407-
dc.description.abstractThe small-signal angle stability (SSAS) of a power system is determined by the property of operation points. The widely applied false data injection (FDI) cyber-attack, however, is able to stealthily mislead the optimal power flow (OPF) and thus compromise operation points, leading to damages to the SSAS margin. To provide insights for cyber defenders, this paper proposes and investigates a stealthy SSAS-oriented FDI cyber-attack focusing on two attacking purposes, i.e., the SSAS margin and operation cost, with higher priority on the former one. First, this paper establishes a novel bi-level model with an implicit SSAS constraint based on a structure preserving model to compromise operation points. Then, for the SSAS interarea mode in a typical two-area system, this paper formulates closed-form expressions of how the SSAS margin and operation cost behave with respect to stealthy injections. By comparison, for the SSAS local mode in general power systems, this paper proposes a moving target cyber-attack-based hierarchical solution algorithm. Simulation results on a two-area system, a Kundur 11 bus system, and a modified IEEE 14 bus system demonstrate the significant damaging effects of the proposed SSAS-oriented FDI cyber-attack and the conflict between the two attacking purposes.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBenders decomposition-
dc.subjectCosts-
dc.subjectcybersecurity-
dc.subjectEigenvalues and eigenfunctions-
dc.subjectfalse data injection cyber-attack-
dc.subjectGenerators-
dc.subjectLoad flow-
dc.subjectMathematical models-
dc.subjectmoving target cyber-attack-
dc.subjectPower system stability-
dc.subjectsmall-signal angle stability-
dc.subjectStability criteria-
dc.subjectstructure preserving model-
dc.titleSmall-Signal Angle Stability-Oriented False Data Injection Cyber-Attacks on Power Systems-
dc.typeArticle-
dc.identifier.doi10.1109/TSG.2022.3199366-
dc.identifier.scopuseid_2-s2.0-85136877915-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.spage635-
dc.identifier.epage648-
dc.identifier.eissn1949-3061-
dc.identifier.issnl1949-3053-

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