A novel technique employing DWT-based envelope analysis for detection of power system transients

This study reports a novel technique for detection of power system transients based on discrete wavelet transform based envelope analysis. Existence of transients in power transmission and distribution networks are very common and need sophisticated detection techniques for proper monitoring of these events. In this contribution, at first multi-resolution analysis of two very frequently occurring power system transients namely oscillatory and impulsive transients are done using discrete wavelet transform (DWT). Next, the envelope spectrum of first four detail coefficients are obtained using Hilbert transform and several features are extracted from the selected envelope spectrums of both class of transient signals. Using ANOVA test, statistical analysis of the extracted features have been done to investigate the discrimination capability of the selected features which are finally used as inputs to a support vector machines (SVM) classifier for classification of power system transients. It has been observed that based on DWT envelope analysis and employing SVM classifier 100% classification accuracy is obtained in detection of different types of power system transients.