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Article: An improved framework for power grid vulnerability analysis considering critical system features

TitleAn improved framework for power grid vulnerability analysis considering critical system features
Authors
KeywordsPower grids
Reactance matrix
Efficiency
Power angle
Cascading failure
Issue Date2014
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa
Citation
Physica A: Statistical Mechanics and its Applications, 2014, v. 395, p. 405-415 How to Cite?
AbstractIn recent years the rapid development of complex network theory has provided a new angle on the vulnerability analysis of a power grid. However, current analysis models are usually general ones that may ignore some specific features of power systems. In order to address the issue, this paper proposes an improved framework for the vulnerability analysis of power grids. Firstly, the traditional topology based graph model is improved by depicting a power grid as a weighted graph based on the reactance matrix. Secondly, the concept of load is redefined by using power angle information. Thirdly, the power flow constraints are adopted instead of the shortest path based flow scheme. Based on the proposed framework, an improved dynamic analysis model is developed. In addition, numerical simulations for both a general traditional model and the proposed model are investigated based on the IEEE 118-bus system respectively. The comparison demonstrates that the improved model is more effective and efficient for the vulnerability analysis of a power grid.
Persistent Identifierhttp://hdl.handle.net/10722/202918
ISSN
2019 Impact Factor: 2.924
2015 SCImago Journal Rankings: 0.738
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDai, YY-
dc.contributor.authorChen, G-
dc.contributor.authorDong, ZY-
dc.contributor.authorXue, YS-
dc.contributor.authorHill, DJ-
dc.contributor.authorZhao, Y-
dc.date.accessioned2014-09-19T10:09:57Z-
dc.date.available2014-09-19T10:09:57Z-
dc.date.issued2014-
dc.identifier.citationPhysica A: Statistical Mechanics and its Applications, 2014, v. 395, p. 405-415-
dc.identifier.issn0378-4371-
dc.identifier.urihttp://hdl.handle.net/10722/202918-
dc.description.abstractIn recent years the rapid development of complex network theory has provided a new angle on the vulnerability analysis of a power grid. However, current analysis models are usually general ones that may ignore some specific features of power systems. In order to address the issue, this paper proposes an improved framework for the vulnerability analysis of power grids. Firstly, the traditional topology based graph model is improved by depicting a power grid as a weighted graph based on the reactance matrix. Secondly, the concept of load is redefined by using power angle information. Thirdly, the power flow constraints are adopted instead of the shortest path based flow scheme. Based on the proposed framework, an improved dynamic analysis model is developed. In addition, numerical simulations for both a general traditional model and the proposed model are investigated based on the IEEE 118-bus system respectively. The comparison demonstrates that the improved model is more effective and efficient for the vulnerability analysis of a power grid.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa-
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applications-
dc.subjectPower grids-
dc.subjectReactance matrix-
dc.subjectEfficiency-
dc.subjectPower angle-
dc.subjectCascading failure-
dc.titleAn improved framework for power grid vulnerability analysis considering critical system features-
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.physa.2013.10.029-
dc.identifier.scopuseid_2-s2.0-84889889321-
dc.identifier.hkuros240497-
dc.identifier.volume395-
dc.identifier.spage405-
dc.identifier.epage415-
dc.identifier.isiWOS:000329881800039-
dc.publisher.placeNetherlands-
dc.identifier.issnl0378-4371-

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