DEVELOPMENT OF A METHODOLOGY FOR ASSOCIATING VOLTAGE BEHAVIOR PATTERNS AND HIGH IMPEDANCE FAULTS DUE TO CONDUCTOR BREAKAGE IN DISTRIBUTION NETWORKS

Abstract

The research work developed a methodology to detect cable opening faults in electrical distribution (high impedance fault) that result in several fatal incidents in cities. Through real-time monitoring of meters installed in energy consumers. This technique used a set of algorithms capable of detecting such a problem through the voltage patterns of several consumers in an adaptive way and evaluation techniques through changing patterns of multiple values. The tests demonstrated that the system is in fact assertive and reliable in the process in question.

Keywords: Artificial Intelligence, High impedance fault, electrical distribution, adaptive systems