Identification of sources of voltage sags in the Malaysian distribution networks using SVM based S-transform

In most parts of the world, the quality of the electrical power has become a major concern for many electricity users especially the industrial customers. To the power utility, all power quality disturbances must be detected, classified and diagnosed accurately so that proper mitigation measures can be implemented. This paper presents the application of the S-transform and Support Vector Machine (SVM) techniques for the identification of sources of voltage sags. In this paper, studies were conducted using this new technique to identify the sources of the voltage sags. The results of the studies showed that the new technique is capable to identify the sources of voltage sags with identification accuracy of 100%.