Fault location system on double circuit two-terminal transmission lines based on ANNs

This paper presents a new approach to fault location in double-circuit two-terminal overhead transmission lines, using artificial neural networks (ANNs). The method presented enables the distance to be determined at which the fault occurs in a double-circuit two-terminal transmission line using the fundamental components of 50/60 Hz of the fault and pre-fault voltage and current magnitudes, measured in each phase of the reference end. The accuracy of the method has been checked using properly validated fault simulation software developed with MATLAB. This software allows generation of faults in any location of the line, to obtain the fault and pre-fault voltage and current values. With this value, the fault can be classified and the corresponding ANN activated in order to determine the fault distance.