Fault Classification in double circuit transmission lines using ANN

Abstract

—— This paper discusses the application of ANN techniques for classification of all type of faults on double circuit transmission lines. It is very challenging task to provide distance protection a double circuit transmission line .An accurate algorithm for fault classification of single line to ground fault, double line to ground fault, three phase faults in double circuit transmission line presented using feed forward neural network (FFNN) algorithm. The algorithm used the fundamental components of voltage and current signals which is taken from the simulation diagram. This technique not requires the online data from the other communication link to retrieve the remote end data nor other sequence current compensation for healthy phases are required. This is a major advantage of the proposed technique for protection of double circuit line. Results of study on a 250 kV transmission line fed from both the ends are presented as an illustration. Simulation results indicate that algorithm is immune to the effect of mutual coupling, fault resistance and fault type.