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- Publisher Website: 10.1016/j.physa.2009.06.041
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Article: An improved model for structural vulnerability analysis of power networks
Title | An improved model for structural vulnerability analysis of power networks |
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Authors | |
Keywords | Admittance Matrix Complex Networks Network Efficiency Power Networks |
Issue Date | 2009 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa |
Citation | Physica A: Statistical Mechanics And Its Applications, 2009, v. 388 n. 19, p. 4259-4266 How to Cite? |
Abstract | Electric 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. © 2009 Elsevier B.V. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/169719 |
ISSN | 2023 Impact Factor: 2.8 2023 SCImago Journal Rankings: 0.661 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Chen, G | en_US |
dc.contributor.author | Dong, ZY | en_US |
dc.contributor.author | Hill, DJ | en_US |
dc.contributor.author | Zhang, GH | en_US |
dc.date.accessioned | 2012-10-25T04:54:23Z | - |
dc.date.available | 2012-10-25T04:54:23Z | - |
dc.date.issued | 2009 | en_US |
dc.identifier.citation | Physica A: Statistical Mechanics And Its Applications, 2009, v. 388 n. 19, p. 4259-4266 | en_US |
dc.identifier.issn | 0378-4371 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169719 | - |
dc.description.abstract | Electric 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. © 2009 Elsevier B.V. All rights reserved. | en_US |
dc.language | eng | en_US |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa | en_US |
dc.relation.ispartof | Physica A: Statistical Mechanics and its Applications | en_US |
dc.subject | Admittance Matrix | en_US |
dc.subject | Complex Networks | en_US |
dc.subject | Network Efficiency | en_US |
dc.subject | Power Networks | en_US |
dc.title | An improved model for structural vulnerability analysis of power networks | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hill, DJ: | en_US |
dc.identifier.authority | Hill, DJ=rp01669 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.physa.2009.06.041 | en_US |
dc.identifier.scopus | eid_2-s2.0-67650104289 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-67650104289&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 388 | en_US |
dc.identifier.issue | 19 | en_US |
dc.identifier.spage | 4259 | en_US |
dc.identifier.epage | 4266 | en_US |
dc.identifier.isi | WOS:000268653900029 | - |
dc.publisher.place | Netherlands | en_US |
dc.identifier.scopusauthorid | Chen, G=9637440300 | en_US |
dc.identifier.scopusauthorid | Dong, ZY=7402274708 | en_US |
dc.identifier.scopusauthorid | Hill, DJ=35398599500 | en_US |
dc.identifier.scopusauthorid | Zhang, GH=7405268492 | en_US |
dc.identifier.citeulike | 5542586 | - |
dc.identifier.issnl | 0378-4371 | - |