Title :
A fuzzy set method for fault location identification in power distribution systems
Author :
Liu, W. H Edwin ; Zhong, Weili
Author_Institution :
Pacific Gas & Electr. Co., San Francisco, CA, USA
Abstract :
There are fault related data available in the distribution systems when a fault occurs. Efficient and effective methods are needed to utilize these available data to locate the possible faulted line sections. In this paper, fuzzy set methods are applied to derive the fault location algorithm. It uses fault related data from fault sensors as well as study results from short circuit analysis and handles the uncertainty in these data with fuzzy set formulation. The algorithm has been implemented. Test results on PG&E distribution systems are very promising
Keywords :
distribution networks; fault location; fuzzy set theory; short-circuit currents; uncertainty handling; fault location identification; fault related data; fault sensors; fuzzy set method; power distribution systems; short circuit analysis; uncertainty handling; Circuit analysis; Circuit faults; Circuit simulation; Fault currents; Fault diagnosis; Fault location; Fuzzy sets; Fuzzy systems; Power distribution; Switches;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572969
