Multi-attribute node importance evaluation method based on Gini-coefficient in complex power grids

被引:36
|
作者
Fan Wenli [1 ,2 ]
Hu Ping [3 ]
Liu Zhigang [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing, Peoples R China
[3] Chengdu Med Coll, Sch Humanities & Informat Management, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
power grids; power transmission protection; power transmission faults; statistics; voltage; 500; kV; Center China power system; IEEE-39; system; index weight method; multiattribute node importance evaluation method; power system; electrical characteristics; cascading failure; node protection; Gini-coefficient; complex power transmission grid; NETWORK;
D O I
10.1049/iet-gtd.2015.0803
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Node importance evaluation contributes to the targeted protection of important nodes, which can enhance the invulnerability of complex power grids against cascading failures. Since the evaluation simply from the perspective of pure topology statistics fails to capture the electrical characteristics of power systems, the authors propose a multi-attribute node importance evaluation method based on Gini-coefficient in this study. This method considers not only the electrical characteristics of power grids when evaluation indices are built, but also the impact of the index weight method on the evaluation results. The simulations on the IEEE-39 system and the 500 kV Center China power system show that the proposed method is suitable to evaluate the node importance in power transmission grids, and can also improve the accuracy of the node importance evaluation.
引用
收藏
页码:2027 / 2034
页数:8
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