Detección de fallas en líneas de transmisión utilizando la transformada de Wavelet

Abstract

In an Electric Power System a great variety of disturbances can occur that affect the electrical supply to the users. One of the most important disturbances that occurs are the short circuits, these can alter the quality and continuity of the electrical service, for this reason it is necessary to apply techniques or methodologies that allow fast detection of the fault event to allow a prompt restoration of the system to normal operating conditions. The present work has been developed with the purpose to implement an alternative methodology to the traditional methods of fault detection produced by short circuits in a test Power System implemented in the ATP/EMPT software. The short circuits are simulated along the longest transmission line of the power system in mention. The signals obtained are analyzed using the Wavelet transform with the objective to apply a methodology that can detect any type of fault produced by short circuits. In addition, a method to identify and classify the type of fault using Support Vector Machines (SVMs) is proposed.