A fuzzy set method for fault location identification in power distribution systems

There are fault related data available in the distribution systems when 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.