ANN based classification and location of faults in EHV transmission line

The paper discusses an implemented methodology for Fault Classifier and Fault Locator for locating faults occurring on a double circuit dual feed EHV transmission line, using Artificial Neural Network. The method uses the fundamental frequency components of voltage and current at pre-fault and post-fault condition, measured in each phase at a reference end on one of the lines of the system. The proposed neural fault classifier and fault locator were trained using various sets of data available from a selected power system model by simulating different fault scenarios like - fault types, fault locations, fault resistances and fault inception angles. The proposed scheme for Fault Classifier and Fault Locator gives great promising results which satisfy for a fast and accurate classification and location.