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Article: Attack structural vulnerability of power grids: A hybrid approach based on complex networks

TitleAttack structural vulnerability of power grids: A hybrid approach based on complex networks
Authors
KeywordsComplex Networks
Power Flow Equations
Power Grids
Vulnerability
Issue Date2010
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa
Citation
Physica A: Statistical Mechanics And Its Applications, 2010, v. 389 n. 3, p. 595-603 How to Cite?
AbstractPower grids have been studied as a typical example of real-world complex networks. Different from previous methods, this paper proposes a hybrid approach for structural vulnerability analysis of power transmission networks, in which a DC power flow model with hidden failures is embedded into the traditional error and attack tolerance methodology to form a new scheme for power grids vulnerability assessment and modeling. The new approach embodies some important characteristics of power transmission networks. Furthermore, the simulation on the standard IEEE 118 bus system demonstrates that a critical region might exist and when the power grid operates in the region, it is vulnerable to both random and intentional attacks. Finally, a brief theoretical analysis is presented to explain the new phenomena. © 2009 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/169723
ISSN
2015 Impact Factor: 1.785
2015 SCImago Journal Rankings: 0.738
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Gen_US
dc.contributor.authorDong, ZYen_US
dc.contributor.authorHill, DJen_US
dc.contributor.authorZhang, GHen_US
dc.contributor.authorHua, KQen_US
dc.date.accessioned2012-10-25T04:54:27Z-
dc.date.available2012-10-25T04:54:27Z-
dc.date.issued2010en_US
dc.identifier.citationPhysica A: Statistical Mechanics And Its Applications, 2010, v. 389 n. 3, p. 595-603en_US
dc.identifier.issn0378-4371en_US
dc.identifier.urihttp://hdl.handle.net/10722/169723-
dc.description.abstractPower grids have been studied as a typical example of real-world complex networks. Different from previous methods, this paper proposes a hybrid approach for structural vulnerability analysis of power transmission networks, in which a DC power flow model with hidden failures is embedded into the traditional error and attack tolerance methodology to form a new scheme for power grids vulnerability assessment and modeling. The new approach embodies some important characteristics of power transmission networks. Furthermore, the simulation on the standard IEEE 118 bus system demonstrates that a critical region might exist and when the power grid operates in the region, it is vulnerable to both random and intentional attacks. Finally, a brief theoretical analysis is presented to explain the new phenomena. © 2009 Elsevier B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physaen_US
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applicationsen_US
dc.subjectComplex Networksen_US
dc.subjectPower Flow Equationsen_US
dc.subjectPower Gridsen_US
dc.subjectVulnerabilityen_US
dc.titleAttack structural vulnerability of power grids: A hybrid approach based on complex networksen_US
dc.typeArticleen_US
dc.identifier.emailHill, DJ:en_US
dc.identifier.authorityHill, DJ=rp01669en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.physa.2009.09.039en_US
dc.identifier.scopuseid_2-s2.0-70350568786en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70350568786&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume389en_US
dc.identifier.issue3en_US
dc.identifier.spage595en_US
dc.identifier.epage603en_US
dc.identifier.isiWOS:000272282700026-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridChen, G=9637440300en_US
dc.identifier.scopusauthoridDong, ZY=7402274708en_US
dc.identifier.scopusauthoridHill, DJ=35398599500en_US
dc.identifier.scopusauthoridZhang, GH=7405268492en_US
dc.identifier.scopusauthoridHua, KQ=35169720000en_US
dc.identifier.citeulike5875199-

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