Wavelet-based algorithm for power quality analysis

This paper presents a computational algorithm for identifying power frequency harmonics and oscillatory transients by using wavelet-based transform. The Continuous Wavelet Transform (CWT) using the Complex Morlet Wavelet (CMW) is adopted. A frequency detection algorithm is developed from the wavelet scalogram and ridges. A necessary condition is established to discriminate adjacent frequencies. By using adaptive wavelet filters, the instantaneous frequency identification approach is applied to determine the frequencies components and the oscillatory transient. Simulated data was used to demonstrate the accuracy of this approach.