Abstract
Currently, given the high amount of data generated by digital fault recorders, several studies on the processing and classification of events (such as faults, for example), are routinely performed. In this context, several methods have been developed and are often used interchangeably. This work is a constituent part of a larger project with the objective of developing an integrated computational tool for disturbance analysis in power systems, and the main goal of the study reported here is the definition of the most suitable method for identification and classification of faults to be integrated to the mentioned tool. The method based on changes in the current, the apparent impedance method and a classifier based on a set of rules built using fuzzy logic are compared among each other. The result of this work is a report synthesizing the benefits and limitations of each method, which was used to choose the method that will be used in the final disturbance analysis tool.
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