Vulnerable Point Identification Using Heterogeneous Interdependent Node Theory for Distribution Systems

Yu Zhang; Xiaohui Song; Liwei Xie; Hua Liu; Yong Li

doi:10.17775/CSEEJPES.2019.02310

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Vulnerable Point Identification Using Heterogeneous Interdependent Node Theory for Distribution Systems

Regular Papers | 更新时间：2026-10-15

- Vulnerable Point Identification Using Heterogeneous Interdependent Node Theory for Distribution Systems
- CSEE Journal of Power and Energy Systems Vol. 8, Issue 2, Pages: 591-598(2022)
- 作者机构：
  
  1. China Electric Power Research Institute,Beijing,China
  2. College of Electrical and Information Engineering, Hunan University,Changsha,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.02310
  CLC：
- Published：01 March 2022
- 稿件说明：
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Yu Zhang, Xiaohui Song, Liwei Xie, et al. Vulnerable Point Identification Using Heterogeneous Interdependent Node Theory for Distribution Systems[J]. CSEE Journal of Power and Energy Systems, 2022, 8(2): 591-598.
DOI：

Yu Zhang, Xiaohui Song, Liwei Xie, et al. Vulnerable Point Identification Using Heterogeneous Interdependent Node Theory for Distribution Systems[J]. CSEE Journal of Power and Energy Systems, 2022, 8(2): 591-598. DOI： 10.17775/CSEEJPES.2019.02310.

摘要

Abstract

In order to reduce the occurrence or expansion of accidents and maintain safety in distribution networks

it is essential to find out the vulnerable points for the power system in time. In this paper

a vulnerable point identification method based on heterogeneous interdependent (HI) node theory and risk theory is proposed. Compared with the methods based on betweenness theory

the method based on HI nodes theory can deal with the shortcomings of the power flow shortest path

and consider the direct and indirect relationship of nodes. It is more suitable for identifying vulnerable points in a realistic power system. First

according to the analysis of heterogenous interdependent networks

the HI nodes are defined and used to evaluate the utility coupling value of each node. Then an identification indicator

which combines the utility coupling value and the risk indicators

is utilized to evaluate the vulnerability of each node. Results show that the proposed method is a suitable one to find the vulnerable points and better than betweenness-based methods for a distribution network.

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