Fault Detection on Radial Power Distribution Systems Using Fuzzy Logic

In this paper a best method of fault locating in a radial power distribution system is discussed. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. In this paper methodology based on fuzzy expert system is discussed for assistance to the operators for easy fault detection.Electric power distribution systems are expected to function at all times, even under fault conditions. However, when they operate under fault conditions, the system operator receives information which makes it very difficult to make decisions on whether to restore a tripped feeder to normal operation. To cope with this uncertainty in decision making, a fault diagnosis method based on fuzzy logic is proposed. The proposed method aims to ease the burden of decision making on the part of the system operator by presenting a fast and accurate fault diagnosis method to classify and identify the type of fault which occurs on an overhead radial power distribution network.