Artificial neural network approach to distance protection of transmission lines

A distance relay for the protection of transmission lines is usually designed on the basis of fixed settings The reach of such relays is therefore affected by the changmg network conditions The implementation of a pattem recognizer €or power system diagnosis can provide great advances m the protection field Thls paper demonstrates the use of an Artificial Neural Network as a pattem classifier for a distance relay operation. The scheme utilizes the magnitudes of three phase voltage and current phasors as inputs An improved performance with the use of an Artificial Neural Network approach is experienced once the relay can operate correctly, keeping the reach when faced wth different fault conditions as well as network configuration changes