Multiple perspective vulnerability analysis of the power network

Shuliang Wang, Jianhua Zhang and Na Duan

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 1581-1590

Abstract: To understand the vulnerability of the power network from multiple perspectives, multi-angle and multi-dimensional vulnerability analysis as well as community based vulnerability analysis are proposed in this paper. Taking into account of central China power grid as an example, correlation analysis of different vulnerability models is discussed. Then, vulnerabilities produced by different vulnerability metrics under the given vulnerability models and failure scenarios are analyzed. At last, applying the community detecting approach, critical areas of central China power grid are identified, Vulnerable and robust communities on both topological and functional perspective are acquired and analyzed. The approach introduced in this paper can be used to help decision makers develop optimal protection strategies. It will be also useful to give a multiple vulnerability analysis of the other infrastructure systems.

Keywords: Critical areas; Cascading failures; Community detection; Multiple perspective vulnerability analysis (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:1581-1590

DOI: 10.1016/j.physa.2017.11.083

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