Multi‐attribute node importance evaluation method based on Gini‐coefficient in complex power grids. Issue 9 (1st June 2016)

• Record Type: Journal Article
• Authors: Wenli, Fan; Ping, Hu; Zhigang, Liu
• Is Part Of: IET generation, transmission & distribution. Volume 10:Issue 9(2016)
• Page Start: 2027
• Page End: 2034
• Publication Date: 2016-06-01
• Subjects: 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; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2015.0803
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.