Title: Fault diagnosis method for operational inspection of substation relay protection link based on characteristic parameters

Authors: Chengjie Cao; Fangyuan Tian; Darui He; Jiaqi Zheng; Yifei Fan

Addresses: Economics and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210009, China ' Economics and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210009, China ' Economics and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210009, China ' Economics and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210009, China ' Economics and Technological Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210009, China

Abstract: Aiming at the problems of low fault location accuracy and large diagnosis error of traditional link fault diagnosis methods, this paper designs a new fault diagnosis method for substation relay protection link operation based on characteristic parameters. Firstly, the equivalent circuit fault characteristic parameters of the link are extracted through the degradation model, and the characteristic parameters such as link rated delay drift, link sampling value and frame loss are determined. Then, the correlation of characteristic parameters is determined according to the clustering core parameters, and the irrelevant characteristic parameters are removed through the error function. Finally, the fault characteristic sequence is determined according to different characteristic parameters in the node, and the fault point location is determined by Min distance to achieve fault diagnosis. The experimental results show that the proposed method can improve the accuracy of link fault location, and the diagnosis effect is good.

Keywords: characteristic parameter; substation; relay protection link; fault diagnosis; FCM algorithm; membership.

DOI: 10.1504/IJPEC.2023.134869

International Journal of Power and Energy Conversion, 2023 Vol.14 No.2/3, pp.105 - 120

Received: 29 Nov 2022
Accepted: 21 Apr 2023
Published online: 15 Nov 2023 *

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