An Intelligent Fault Location Algorithm for Double Circuit Transmission Line Based on DFT-ANN Approach

Abstract

This paper demonstrates an intelligent fault location algorithm based on DFT-ANN approach for a 400 kV double circuit transmission line of Chhattisgarh state power transmission system. In this proposed algorithm, standard deviations of three-cycle data of fundamental components of three-phase current signals (two circuits) and three-phase voltage signals at sending end bus are used as an input to erudite the hidden associations of neural network structure. An extensive simulation studies have been performed in MATLAB/Simulink software for all types of common shunt faults and the performance of DFT-ANN-based fault locator is appraised at diverse situations of power system by changing fault type and varying different fault parameters such as fault location, fault resistance, fault inception angle with existence of mutual coupling. The simulation results confide the efficacy of proposed algorithm at widespread fault scenarios. The percentage of error attained in fault location estimation is within acceptable limit.