INNOVATIVE POWER SYSTEM TRANSIENT DISTURBANCES DETECTION AND CLASSIFICATION USING WAVELET ANALYSIS

This paper presents an innovative method for detecting and classifying various power system disturbances using wavelet analysis. The proposed method employs a multiresolution analysis (MRA) using localized wavelet basis functions. The nonlinear sub-band time-frequency structure extracted using the MRA can provide the needed features to detect and classify any power system transient disturbance. The proposed method is used in two main applications namely in power transformer protection and in power quality improvement and monitoring applications. The results of applying the proposed method show quick, accurate and effective response to all types of the disturbances.