4.6 Article

Multiple perspective vulnerability analysis of the power network

Journal

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 492, Issue -, Pages 1581-1590

Publisher

ELSEVIER
DOI: 10.1016/j.physa.2017.11.083

Keywords

Critical areas; Cascading failures; Community detection; Multiple perspective vulnerability analysis

Funding

  1. National Natural Science Foundations of China [61503166, 61304175, 61573172]
  2. Scientific Research Foundation of Chongqing Education Commission [KJ1400329]
  3. science and technology project of Xuzhou [KC16SG253]

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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. (C) 2017 Elsevier B.V. All rights reserved.

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