DocumentCode :
1493616
Title :
An expert system for fault section diagnosis of power systems using fuzzy relations
Author :
Cho, Hyun-Joon ; Park, Jong-Keun
Author_Institution :
LG Electronics Res. Center, Seoul, South Korea
Volume :
12
Issue :
1
fYear :
1997
fDate :
2/1/1997 12:00:00 AM
Firstpage :
342
Lastpage :
348
Abstract :
This paper proposes an expert system using fuzzy relations to deal with uncertainties imposed on fault section diagnoses of power systems. The authors build sagittal diagrams which represent the fuzzy relations for power systems, and diagnose fault sections using the sagittal diagrams. Next, they examine the malfunction or false alarms of relays and circuit breakers based on the alarm information and the estimated fault section. The proposed system provides the fault section candidates in terms of the degree of membership and the malfunction or false alarm. An operator monitors these candidates and is able to diagnose the fault section, coping with uncertainties. Experimental studies for real power systems reveal the usefulness of the proposed technique to diagnose faults that have uncertainty
Keywords :
diagnostic expert systems; fault location; fuzzy set theory; power system analysis computing; circuit breakers; computer simulation; expert system; false alarms; fault section candidates; fault section diagnosis; fuzzy relations; malfunctions; power systems; relays; sagittal diagrams; uncertainty; Circuit faults; Diagnostic expert systems; Fault diagnosis; Fuzzy systems; Hybrid intelligent systems; Power system faults; Power system protection; Power system relaying; Power system restoration; Uncertainty;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.574957
Filename :
574957
Link To Document :
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