Fault location estimation in HVDC transmission line using ANN

Abstract

This paper presents a simple, yet accurate method for fault location in HVDC transmission lines using Artificial Neural Networks. The ±500 kV HVDC system has been modelled using PSCAD/EMTDC and further analysis has been done using MATLAB. Single-end AC RMS voltage and DC voltage and current have been used to identify the location of the fault. This method is relatively simple because the standard deviation of the fault data alone gives acceptably accurate results while using ANN.