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- Publisher Website: 10.1016/j.physa.2013.10.029
- Scopus: eid_2-s2.0-84889889321
- WOS: WOS:000329881800039
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Article: An improved framework for power grid vulnerability analysis considering critical system features
Title | An improved framework for power grid vulnerability analysis considering critical system features |
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Authors | |
Keywords | Power grids Reactance matrix Efficiency Power angle Cascading failure |
Issue Date | 2014 |
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, 2014, v. 395, p. 405-415 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/202918 |
ISSN | 2023 Impact Factor: 2.8 2023 SCImago Journal Rankings: 0.661 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Dai, YY | - |
dc.contributor.author | Chen, G | - |
dc.contributor.author | Dong, ZY | - |
dc.contributor.author | Xue, YS | - |
dc.contributor.author | Hill, DJ | - |
dc.contributor.author | Zhao, Y | - |
dc.date.accessioned | 2014-09-19T10:09:57Z | - |
dc.date.available | 2014-09-19T10:09:57Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Physica A: Statistical Mechanics and its Applications, 2014, v. 395, p. 405-415 | - |
dc.identifier.issn | 0378-4371 | - |
dc.identifier.uri | http://hdl.handle.net/10722/202918 | - |
dc.description.abstract | In 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.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa | - |
dc.relation.ispartof | Physica A: Statistical Mechanics and its Applications | - |
dc.subject | Power grids | - |
dc.subject | Reactance matrix | - |
dc.subject | Efficiency | - |
dc.subject | Power angle | - |
dc.subject | Cascading failure | - |
dc.title | An improved framework for power grid vulnerability analysis considering critical system features | - |
dc.type | Article | - |
dc.identifier.email | Hill, DJ: dhill@eee.hku.hk | - |
dc.identifier.authority | Hill, DJ=rp01669 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.physa.2013.10.029 | - |
dc.identifier.scopus | eid_2-s2.0-84889889321 | - |
dc.identifier.hkuros | 240497 | - |
dc.identifier.volume | 395 | - |
dc.identifier.spage | 405 | - |
dc.identifier.epage | 415 | - |
dc.identifier.isi | WOS:000329881800039 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0378-4371 | - |