Characterising power quality disturbances resulting from current limiting fuse operation

Abstract

This article presents novel and easily implemented tools for characterising electrical disturbances originated by fuse operations. A methodology is described that (with the use of some descriptors) led to identifying electrical disturbances of this kind. The algorithm's decision thresholds were estimated using machine learning techniques. This work was aimed at providing new tools for assessing power quality, characterising and extracting information from voltage and current records obtained from monitoring distribution systems. MATLAB was used for validating this methodology, receiving voltage and current records of simulated events in ATP-EMTP and also real events as input.