Title :
A distributed power system fault diagnosis expert system based on fuzzy inference
Author :
Ming, Zhou ; Li Gengyin ; Jianwen, Ren ; Xu Kaili ; Youjiang, Kaili Sun
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
fDate :
30 Oct.-1 Nov. 2000
Abstract :
The power system fault diagnosis (PSFD) expert system is a powerful assistant tool to the operators at analyzing and dealing with faults, and also at operating simulation training. For uncertainties existing in the PSFD problem, this paper develops a solution based on fuzzy sets and fuzzy inference. Related to the scattered information of power systems, layered and distributed PSFD schemes are proposed and realized in detailed. The practical test in a certain distribution power grid is carried out and the results show that the methodology adopted in the paper is more accurate and practical.
Keywords :
diagnostic expert systems; fault location; fuzzy set theory; inference mechanisms; power system analysis computing; power system faults; distributed power system fault diagnosis expert system; distribution power grid; faults analysis; fuzzy inference; fuzzy sets; operating simulation training; uncertainties;
Conference_Titel :
Advances in Power System Control, Operation and Management, 2000. APSCOM-00. 2000 International Conference on
Print_ISBN :
0-85296-791-8
DOI :
10.1049/cp:20000404