Fuzzy Logic-Based Fault-Type Identification in Unbalanced Radial Power Distribution System

Abstract

In this paper, a fuzzy logic-based algorithm to identify the type of faults in radial, unbalanced distribution system has been developed. The proposed technique is able to accurately identify the phase(s) involved in all ten types of shunt faults that may occur in an electric power distribution system under different fault types, fault resistance, fault inception angle, system topology and loading levels. The proposed method needs only three line current measurements available at the substation and can perform the fault classification task in about half-cycle period. All the test results show that the proposed fault identifier is well suited for identifying fault types in radial, unbalanced distribution system.