Transmission line fault distance and direction estimation using artificial neural network

Abstract

An accurate fault distance and direction estimation based on application of artificial neural networks for protection of doubly fed transmission lines is presented in this paper. The proposed method uses the voltage and current available at only the local end of line. This method is adaptive to the variation of fault location, fault inception angle and… (More)

Topics

14 Figures and Tables

Slides referencing similar topics