29
ENY-ARTICLE-2008-022
eng
ISSN: 1350-2360
CODEN: IGTDE2
INSPEC: 7099688
Lobos, T
Wroclaw University of Technology, pl.Grunwaldzki 13, 50-337 Wroclaw, Poland
Power system harmonics estimation using linear least squares method and SVD
2000-06-25
6p
IEE Proc. Gener. Transm. Distrib. 2001 Vol. 148 No. 6 pp. 567-572
The paper examines singular value decomposition (SVD) for the estimation of harmonics in signals in the presence of high noise. The proposed approach results in a linear least squares method. The methods developed for locating the frequencies as closely spaced sinusoidal signals are appropriate tools for the investigation of power system signals containing harmonics and interharmonics differing significantly in their multiplicity. The SVD approach is a numerical algorithm to calculate the linear least squares solution. The methods can also be applied for frequency estimation of heavy distorted periodical signals. To investigate the methods several experiments have been performed using simulated signals and the waveforms of a frequency converter current. For comparison, similar experiments have been repeated using the FFT with the same number of samples and sampling period. The comparison has proved the superiority of SVD for signals buried in the noise. However, the SVD computation is much more complex than FFT and requires more extensive mathematical manipulations.
SVD
harmonics
power system
distortion
Kozina, T
Wroclaw University of Technology, pl Grunwaldzki 13, 50-337 Wroclaw, Poland
Koglin, H J
University of the Saarland, Im Stadtwald B13 D-66041, Saarbrücken, Gemany
zbigniew.leonowicz@pwr.wroc.pl
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