Title :
Wavelet-Based Algorithm for Power Quality Analysis
Author_Institution :
City Univ. of Hong Kong, Hong Kong
Abstract :
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.
Keywords :
frequency estimation; power supply quality; wavelet transforms; complex Morlet wavelet; continuous wavelet transform; frequency estimation; oscillatory transients; power frequency harmonics; power quality analysis; system harmonics; wavelet ridges; wavelet-based algorithm; Adaptive filters; Algorithm design and analysis; Continuous wavelet transforms; Detection algorithms; Frequency; Power harmonic filters; Power quality; Power system harmonics; Wavelet analysis; Wavelet transforms; Complex Morlet Wavelet (CMW); Continuous Wavelet Transform (CWT); frequency estimation; oscillatory transients; scalogram; system harmonics; wavelet ridges;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385521