The Transmission line fault detection and identification using Artificial Neural Network

Abstract

Among subsystems of power system, transmission system faces high rate of severe faults. If these faults are not detected and eradicated quickly they can severely affect the continuity and reliability of the power supply. Many techniques have been put into effect for analysis of power system faults such as representing transmission lines by either first or second order and travelling wave techniques but these techniques lack in attaining the desired speed, selectivity and accuracy. For this purpose Artificial Neural Networks are highly efficient which after learning detect the fault quickly and accurately. In this research work Artificial Neural Network (ANN) using the back propagation technique is used to detect and identify the faults occurring on transmission system. The Network is trained with scaled conjugate gradient backpropagation.