Steady State versus Transient Signal for Fault Location in Transmission Lines

Abstract

Abstract. This paper focuses on determination of suitable time interval of features extraction either during steady state signal or transient signal of impedance based method to estimate the location of fault using Artificial Neural Network (ANN). Simulation studies have been carried on power system model using MATLAB & SIMULINK. The faulted current signal taken at single-ended of transmission lines are used as input in the proposed scheme. Different types of faults at different operating condition have been considered to this study. This studies extracted five features that are delta minimum to maximum, amplitude, standard deviation, energy and mean of the signal for both condition. The proposed studies is evaluated by Mean Square error (MSE) from ANN. Most researchers using steady state signal as their input and there also have researchers used transient signal as the input but there have no study or reason for choosing the signal at that condition. However, by carrying out this studies, it shows that not all features are suitable to extract during one time signal condition.

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“…In transmissions lines repeatedly appear short circuit faults. One of main triggers is lighting (Martinez-Velasco, 2020;Parsi and Crossley, 2018;Hashim et al, 2018). Transient states are sometimes connected with cascade failures (Yan et al, 2015).…”