Fault section diagnosis of power system using fuzzy logic

Abstract

This paper proposes a fast diagnosis system for estimating the fault section of power system by using a hybrid cause-effect network and fuzzy logic. This proposed system builds the cause-effect networks, which represent the fuzzy relations of protective relays and circuit breakers (CBs) for selection of faulty sections in blackout areas. In order to deal with the uncertain information in the process of diagnosis, a fuzzy-logic method is derived. Since the cause-effect network is well suited for parallel processing and the fuzzy logic has fast solution advantage, the inferential speed can be improved significantly. An error detector also was developed in this system to handle malfunction of relays and circuit breakers. Many tests have been run to show its effectiveness. Results show that the proposed system is a very effective method.