Fault Classification of Double Circuit Transmission Line Using Artificial Neural Network
Introduction :
Abstract— Double circuit transmission lines are being used more widespread as they increase the power transmission capacity and increase the reliability of the system. However, there is difficulty in classifying the fault types onsuch lines using conventional techniques, principally because a faulted phase(s)on one circuit has an effect on thephases of the healthy circuit due to mutual coupling between the two circuits.
This paper addresses the problems encountered by conventional distance relays when protecting double-circuit transmission lines. The problems arise principally as a result of the mutual coupling between the two circuits under different fault conditions; this mutual coupling is highly nonlinear in nature.
An adaptive protection scheme is proposed for such lines based on application of artificial neural network.
