Open AccessMulti‐attribute node importance evaluation method based on Gini‐coefficient in complex power grids
Author(s) -
Wenli Fan,
Ping Hu,
Zhigang Liu
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0803
Subject(s) - node (physics) , computer science , electric power system , power (physics) , evaluation methods , gini coefficient , topology (electrical circuits) , reliability engineering , transmission (telecommunications) , index (typography) , power grid , power transmission , grid , data mining , mathematics , engineering , electrical engineering , telecommunications , mathematical analysis , physics , structural engineering , quantum mechanics , economic inequality , inequality , geometry , world wide web
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.