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Voltage sag is one of the major power quality disturbance today. Significant causes of voltage sag include power system fault, starting of induction motor and energizing of transformer. This paper focus on a comparative analysis carried out to determine the best input parameters to be employed in support vector machine (SVM) method for voltage sag cause classification. Wavelet transform is carried...
Voltage sags are currently one of the vital issues in power quality today. Voltage sag is a short duration reductions in RMS voltage caused by fault, induction motor starting and transformer energizing. Aim of this paper is to classify the caused of sag either by fault or induction motor starting using SVM. In this paper, the voltage sag was analyzed using PSCAD model. Then, a method to identify voltage...
Support vector machine (SVM), which is based on statistical learning theory, is a universal machine learning method. This paper proposes the application of SVM in classifying the causes of voltage sag in power distribution system. Voltage sag is among the major power quality disturbances that can cause substantial loss of product and also can attribute to malfunctions, instabilities and shorter lifetime...
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