Vulnerability Assessment Model of Power Grid Cascading Failures Based on Fault Chain and Dynamic Fault Tree

被引：0

作者：

Wang, Ming ^{[1
]}

Lu, Wei ^{[1
]}

Wu, Shaolei ^{[1
]}

Zhao, Cheng ^{[1
]}

Feng, Yu ^{[1
]}

Luo, Chen ^{[1
]}

Xiao, Yao ^{[2
]}

机构：

[1] Anhui Elect Power Res Inst, Hefei, Anhui, Peoples R China

[2] Anhui Res Inst Econ & Technol, Hefei, Anhui, Peoples R China

来源：

2017 IEEE 7TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2017年

关键词：

Cascading failures; blackout; fault chain; dynamic fault tree analysis; importance analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cyber-physical security of the smart grid obtains increasing attention. Critical transmission lines have a major impact on large-scale cascading failures in modern power grids. In this paper, we proposed a predicting model of cascading failures based on the fault chain theory and Fuzzy C-Means. The development process of cascading failures in a power grid is described based on the fault chain and dynamic fault tree theories. Loading rate, coupling relationship of sequent tripped lines and power flow variation are considered in the proposed method to predictive the fault chains comprehensively. A novel branch vulnerability assessment method is proposed based on the fault chain and dynamic fault tree theories to identify critical branches which have a significant impact on cascading failure expansion. The effectiveness of the proposed assessment model is tested based on IEEE 39-bus system.

引用

页码：1262 / 1267

页数：6

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