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This paper discuss about voltage sags classification using a previous characterization of this type of electrical disturbances. An automatic classification algorithm, working under a non-supervised strategy is proposed. The method helps to determine the possible fault cause and location of voltage sags using a prototype definition and the pertinence degree for each resulting class.

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The problem of fault location has been studied deeply for transmission lines due its importance in the power system. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power quality regulations. This paper presents some of the most relevant methods for fault location in radial power systems. Additionally here is presented an hybrid fault location algorithm which takes advantage of both, the algorithmic and the knowledge based methods. The obtained results from fault location methods help utilities in both network operation and network planning.

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