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An improved model for structural vulnerability analysis of power networks

dc.contributor.authorChen, Guo
dc.contributor.authorDong, Zhao Yang
dc.contributor.authorHill, David
dc.contributor.authorZhang, Guohua
dc.date.accessioned2015-12-10T22:32:27Z
dc.date.issued2009
dc.date.updated2015-12-09T10:16:34Z
dc.description.abstractElectric power networks have been studied as a typical example of real-world complex networks. Traditional models for structural vulnerability analysis appear to be all based on physical topological structure. In this paper, we depict a typical power network as a weighted graph based on electrical topology by introducing its bus admittance matrix, which embodies the important characteristics of power networks in a much more realistic structure. Furthermore, the numerical simulation for both the traditional dynamical model and the proposed electrical topological model are investigated based on the IEEE 300 bus system respectively. The comparison demonstrates that the improved model is more precise and highly efficient for the analysis of structural vulnerability of power networks.
dc.identifier.issn0378-4371
dc.identifier.urihttp://hdl.handle.net/1885/55770
dc.publisherElsevier
dc.sourcePhysica A: Statistical mechanics and its applications
dc.titleAn improved model for structural vulnerability analysis of power networks
dc.typeJournal article
local.bibliographicCitation.issue19
local.bibliographicCitation.lastpage4266
local.bibliographicCitation.startpage4259
local.contributor.affiliationChen, Guo, University of Queensland
local.contributor.affiliationDong, Zhao Yang, Hong Kong Polytechnic University
local.contributor.affiliationHill, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationZhang, Guohua, College of Engineering and Computer Science, ANU
local.contributor.authoruidHill, David, u4218741
local.contributor.authoruidZhang, Guohua, u4371720
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationu4334215xPUB339
local.identifier.citationvolume388
local.identifier.doi10.1016/j.physa.2009.06.041
local.identifier.scopusID2-s2.0-67650104289
local.type.statusPublished Version

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