File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Consecutive Load Redistribution Attack Without Line Admittance Information

TitleConsecutive Load Redistribution Attack Without Line Admittance Information
Authors
Keywordsfalse data injection attack
load redistribution attack
power transfer distribution factor
ridge regression
Issue Date1-Nov-2024
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Smart Grid, 2024, v. 16, n. 2, p. 1762-1774 How to Cite?
AbstractThis paper develops a novel method for launching a stealthy Load Redistribution Attack (LRA) without requiring knowledge of the power network's admittance matrix. Initially, equations involving the admittance matrix in the conventional LRA model are substituted with equivalent conditions utilizing the Power Transfer Distribution Factor (PTDF) matrix. Subsequently, a ridge regression approach is applied to estimate the PTDF matrix based on the hijacked Supervisory Control and Data Acquisition (SCADA) data. To maximize the damage inflicted by the proposed LRA, a consecutively small-scale attack strategy is designed to gather more informative data, and the PTDF matrix estimation is then updated accordingly to enhance its accuracy. Ultimately, a stealthy LRA is completed using the final PTDF matrix estimation. The rationale behind employing the PTDF matrix estimation in the proposed method, as opposed to the estimation of the admittance matrix, is that the latter requires information on bus voltage phase angles not supplied by the SCADA system. Simulations on the IEEE 30-bus and IEEE 118-bus system, without admittance information for grid transmission lines, demonstrate the accuracy and efficacy of the proposed attack.
Persistent Identifierhttp://hdl.handle.net/10722/362820
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863

 

DC FieldValueLanguage
dc.contributor.authorLiu, Zelin-
dc.contributor.authorLiu, Tao-
dc.contributor.authorSong, Yue-
dc.contributor.authorHill, David J.-
dc.date.accessioned2025-10-01T00:35:28Z-
dc.date.available2025-10-01T00:35:28Z-
dc.date.issued2024-11-01-
dc.identifier.citationIEEE Transactions on Smart Grid, 2024, v. 16, n. 2, p. 1762-1774-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/362820-
dc.description.abstractThis paper develops a novel method for launching a stealthy Load Redistribution Attack (LRA) without requiring knowledge of the power network's admittance matrix. Initially, equations involving the admittance matrix in the conventional LRA model are substituted with equivalent conditions utilizing the Power Transfer Distribution Factor (PTDF) matrix. Subsequently, a ridge regression approach is applied to estimate the PTDF matrix based on the hijacked Supervisory Control and Data Acquisition (SCADA) data. To maximize the damage inflicted by the proposed LRA, a consecutively small-scale attack strategy is designed to gather more informative data, and the PTDF matrix estimation is then updated accordingly to enhance its accuracy. Ultimately, a stealthy LRA is completed using the final PTDF matrix estimation. The rationale behind employing the PTDF matrix estimation in the proposed method, as opposed to the estimation of the admittance matrix, is that the latter requires information on bus voltage phase angles not supplied by the SCADA system. Simulations on the IEEE 30-bus and IEEE 118-bus system, without admittance information for grid transmission lines, demonstrate the accuracy and efficacy of the proposed attack.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.subjectfalse data injection attack-
dc.subjectload redistribution attack-
dc.subjectpower transfer distribution factor-
dc.subjectridge regression-
dc.titleConsecutive Load Redistribution Attack Without Line Admittance Information-
dc.typeArticle-
dc.identifier.doi10.1109/TSG.2024.3501356-
dc.identifier.scopuseid_2-s2.0-85209887599-
dc.identifier.volume16-
dc.identifier.issue2-
dc.identifier.spage1762-
dc.identifier.epage1774-
dc.identifier.eissn1949-3061-
dc.identifier.issnl1949-3053-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats