Fault Type Identification Method based on Wavelet Detail Coefficients of Modal Current Components

Abstract

This paper presents the algorithm of fault classification and faulted phase selection based on the absolute maxima values of detail coefficient of current traveling waves. The proposed method identifies the faulted-phase and fault type correctly by comparing these classification parameters to each other instead of using threshold values. Therefore, the proposed method can be used in any types of distribution test system. The proposed approach uses the mathematical tool of discrete wavelet transform to solve the problem. Various fault conditions were simulated by varying fault type, faulted-feeder, fault resistance, fault location and fault inception time, on a loop distribution system. The simulation in MATLAB Simulink results demonstrate the validity of the proposed technique of faulted phase selection.