Method for finding the important nodes of an electrical power system based on weighted‐SALSA algorithm. Issue 21 (25th October 2019)

• Record Type: Journal Article
• Authors: Geng, Junqi; Piao, Xuefeng; Qu, Yanbin; Song, Huihui; Zheng, Kangxing
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 21(2019)
• Page Start: 4933
• Page End: 4941
• Publication Date: 2019-10-25
• Subjects: Internet -- hypermedia -- information retrieval -- computational complexity -- load flow -- graph theory -- search engines -- search problems -- directed graphs; weighted directed graph -- web pages -- power flow -- electrical betweenness algorithm -- cocitation hypertext induced topic search algorithm -- IEEE 118‐bus system -- IEEE 300‐bus system -- weighted‐SALSA algorithm -- electrical power system -- power system nodes -- ranking results -- link structure analysis algorithm -- node importance -- power features -- web page relationships; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2019.0424
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : It is crucial to rank power system nodes in terms of importance. Once the ranking results are known, by imposing extra protection or changing the topology, strong robustness and low risks of the power system will be obtained. Inspired by the stochastic approach for link structure analysis (SALSA) algorithm, an algorithm for ranking web pages, the authors propose a weighted‐SALSA algorithm to evaluate the node importance for electrical power system. Since power features are different from web page relationships, a weighted and directed graph is adopted instead of an unweighted and directed graph abstracted from web pages. Moreover, considerations for the topology structure and the power flow are also embodied in the proposed algorithm. The results of comparative simulations with electrical betweenness algorithm and model based on cocitation hypertext induced topic search algorithm based on the IEEE 118‐bus system and the IEEE 300‐bus system are proved the effectiveness of the weighted‐SALSA algorithm for ranking nodes of the electrical power system. Moreover, the weighted‐SALSA algorithm has a lower computation complexity, which is an advantage for real‐time calculation.