DocumentCode :
987798
Title :
Harmonic Analysis Via Wavelet Packet Decomposition Using Special Elliptic Half-Band Filters
Author :
Eren, Levent ; Unal, Mehmet ; Devaney, Michael J.
Author_Institution :
Bahcesehir Univ., Istanbul
Volume :
56
Issue :
6
fYear :
2007
Firstpage :
2289
Lastpage :
2293
Abstract :
The fast Fourier transform (FFT) is the most widely used power system harmonic analysis tool in real-time power metering due to its computational efficiency. Recently, an alternate method, i.e., wavelet packet decomposition (WPD), has been applied to power system signals to meter the voltage and current harmonics. Although the new method provides better analysis, the computational complexity of WPD places a limitation on its use in real-time metering. This paper proposes the use of all-pass-implemented special half-band elliptic infinite-impulse-response filters in the WPD of power system signals. The proposed implementation reduces the computational complexity to levels comparable to FFT.
Keywords :
IIR filters; computational complexity; electric current measurement; fast Fourier transforms; harmonic analysis; power system harmonics; power system measurement; voltage measurement; wavelet transforms; computational complexity; current measurement; fast Fourier transform; half-band elliptic infinite-impulse-response filters; harmonic analysis; power system harmonic analysis; power system signals; power system transient; real-time power metering; voltage measurement; wavelet packet decomposition; wavelet transforms; Computational complexity; Computational efficiency; Fast Fourier transforms; Harmonic analysis; Power harmonic filters; Power system analysis computing; Power system harmonics; Real time systems; Wavelet analysis; Wavelet packets; Current measurement; power system harmonics; power system transient; voltage measurement; wavelet transforms (WT);
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2007.908244
Filename :
4389099
Link To Document :
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