An intelligent fault locator for 400-kV double-circuit line of Chhattisgarh state: A comparative study

Abstract

The designing of fault location algorithms for double-circuit transmission lines is more complex due to the presence of mutual coupling. In this paper, a comparative study has been exemplified based on an intelligent fault location algorithm using illustrious feature extraction techniques such as discrete Fourier transform (DFT), discrete cosine transform (DCT) and discrete wavelet transform (DWT) for a 400-kV double-circuit transmission line of Chhattisgarh State in MATLAB/Simulink software. The proposed intelligent algorithm uses standard deviations of discrete coefficients of three-cycle data of three-phase current and voltage signals from relaying point to edify the hidden connotations of neural structures. Extensive simulation studies have been performed for all types of common shunt faults at widespread circumstances by varying different fault parameters in the presence of mutual coupling. However, the mean error in fault location estimation is within ±1%; henceforth, the outcomes are worthy to get a research insight while designing relaying algorithms.