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Article: A minimum cut-set vulnerability analysis of power networks

TitleA minimum cut-set vulnerability analysis of power networks
Authors
KeywordsCascading failures
Complex networks
Minimum cut-set
Power systems
Target attacks
Issue Date2020
PublisherElsevier Ltd. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-energy-grids-and-networks/
Citation
Sustainable Energy, Grids and Networks, 2020, v. 21, p. article no. 100302 How to Cite?
AbstractIn this paper, we study the vulnerability of the minimum cut-set (MCS) in power networks by assessing the effect of sequential attacks against the MCS and its corresponding effect on cascading failures triggering. Concepts of flow-networks and the DC power flow are integrated into the system model. Computational algorithms are developed to identify the target set, update power flow solutions, and maintain the system balance during network evolution. A vulnerability metric based on attack efficiency is proposed to compare the network responsible for different target selection. Case studies are used to compare MCS attacks with other network-based and electric-based attacks. The vulnerability of the MCS elements results higher than found for elements identified employing electrically extended measures.
Persistent Identifierhttp://hdl.handle.net/10722/287650
ISSN
2021 Impact Factor: 5.405
2020 SCImago Journal Rankings: 0.832
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCaro-Ruiz, C-
dc.contributor.authorMa, J-
dc.contributor.authorHill, DJ-
dc.contributor.authorPavas, A-
dc.contributor.authorMojica-Nava, E-
dc.date.accessioned2020-10-05T12:01:13Z-
dc.date.available2020-10-05T12:01:13Z-
dc.date.issued2020-
dc.identifier.citationSustainable Energy, Grids and Networks, 2020, v. 21, p. article no. 100302-
dc.identifier.issn2352-4677-
dc.identifier.urihttp://hdl.handle.net/10722/287650-
dc.description.abstractIn this paper, we study the vulnerability of the minimum cut-set (MCS) in power networks by assessing the effect of sequential attacks against the MCS and its corresponding effect on cascading failures triggering. Concepts of flow-networks and the DC power flow are integrated into the system model. Computational algorithms are developed to identify the target set, update power flow solutions, and maintain the system balance during network evolution. A vulnerability metric based on attack efficiency is proposed to compare the network responsible for different target selection. Case studies are used to compare MCS attacks with other network-based and electric-based attacks. The vulnerability of the MCS elements results higher than found for elements identified employing electrically extended measures.-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-energy-grids-and-networks/-
dc.relation.ispartofSustainable Energy, Grids and Networks-
dc.subjectCascading failures-
dc.subjectComplex networks-
dc.subjectMinimum cut-set-
dc.subjectPower systems-
dc.subjectTarget attacks-
dc.titleA minimum cut-set vulnerability analysis of power networks-
dc.typeArticle-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.segan.2020.100302-
dc.identifier.scopuseid_2-s2.0-85078296321-
dc.identifier.hkuros315098-
dc.identifier.volume21-
dc.identifier.spagearticle no. 100302-
dc.identifier.epagearticle no. 100302-
dc.identifier.isiWOS:000528845900020-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2352-4677-

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