Distance Protection of a Double-Circuit Line Based on Kohonen Neural Network Considering Different Operation Modes

This paper deals with problems connected to distance protection of a double-circuit transmission lines. Because of the zero sequence mutual coupling of parallel circuits, the relay "sees" incorrect impedance. Behavior of distance relays, which protect multi-circuit lines, is that they underreach when the parallel circuits are in service and that they overreach when the parallel circuits are out of service and earthed at both ends. In this paper it was developed adaptive model which solves problems of single-line-to-ground fault on a single line. From the local measurements and from the transmission line theory it can be calculated error factor, which is ratio of the calculated impedance "seen" by relay and the desired impedance at a fault distance. The aim of the adaptive model is to improve accuracy of the distance relay (to compensate error factor), according to the local measurements using neural network - self-organizing neural network or so called Kohonen network.