A Method to Improve the Speed of a Distance Relay Using Artificial Neural Networks

신경회로망을 이용한 거리 계전기의 속도 개선 방법

  • Published : 1996.07.22

Abstract

This paper describes a method to improve the speed of a distance relay based on a differential equation of transmission lines using feedforward artificial neural networks (ANN) on an EHV system. For the impedance calculation an integration approximation to the differential equation is used and then an ANN is trained with the impedance convergence characteristic. The ANN predicts the fault distance with some calculated resistances and reactances before they reach trip zone. Thus, the proposed method can improve the speed of distance relays, significantly if a high sampling rate such as 48 samples per cycle is employed.

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