Multiple perspective vulnerability analysis of the power network

被引:11
|
作者
Wang, Shuliang [1 ,2 ,3 ]
Zhang, Jianhua [1 ]
Duan, Na [1 ]
机构
[1] Jiangsu Normal Univ, Sch Elect Engn & Automat, Xuzhou 221116, Peoples R China
[2] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA
[3] Boston Univ, Dept Phys, Boston, MA 02215 USA
关键词
Critical areas; Cascading failures; Community detection; Multiple perspective vulnerability analysis; INTERDEPENDENT NETWORKS; MITIGATION; SYSTEMS; MODEL; RISK;
D O I
10.1016/j.physa.2017.11.083
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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.
引用
收藏
页码:1581 / 1590
页数:10
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