A Double-Ended Scheme for Fault Identification and Phase-Type Categorization in Fixed Series Compensated Transmission Line during Distorted Signals

A quick, double-sided, and hybrid protection system for identification and phase-type categorization of fault generated noisy signals on a 500 kV, 300 km long transmission line (TL) is introduced in this paper. The proposed scheme takes advantage of Fourier analysis and haar wavelet analysis and makes use of currents at equally relaying sides of a TL. Haar wavelet is used in the wavelet analysis of current signals. The simulation effects attained show that the scheme is quick and flawless as the phase-type is classified within 15 ms time.

I. Introduction

The protection of fixed-series connected transmission line (FSCTL) during the presence of distorted signals is very challenging due to the effect of noise present in the line current. Hence, a protection system which can conquer the disputes in the FSCTL and work successfully and competently under an extensive variety of fault circumstances would be an appreciable move in this observation. Various protection systems have been suggested for TLs utilizing discrete wavelet analysis [1], DT with wavelet analysis [2], Fourier analysis with k-nearest neighbor [3], Discrete Fourier transform with SVM [4], symmetrical component analysis with Walsh analysis [5], transient monitor index [6], synchrophasor measurement technology [7], wavelet analysis with ANN [8], spatial pyramid pooling (SPP) and hashing classifier (HC) with convolution neural network (CNN) [9], and covariance coefficients with cumulative sum [10].