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Fault location system on double circuit two-terminal transmission lines based on ANN's

Abstract:

This paper presents a new approach to fault location in double-circuit two-terminal overhead transmission lines, using artificial neural networks (ANN's). 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 generating faults in any location of the line, to obtain the fault and prefault voltage and current values. With this values, it can be classified the fault and activated the corresponding ANN in order to determine the fault distance. © 2001 IEEE.