24
ENY-ARTICLE-2008-020
eng
Lobos, T
Wroclaw University of Technology
Detection of Remote Harmonics Using SVD
1998-04-08
5p
8th International Conference on Harmonics and Quality of Power. Proceedings, Athens, Greece, October 14-16, 1998. Vol. 2. Piscataway, NJ : IEEE, 1998. pp. 1136-1140
The paper examines the singular value decomposition (SVD) for detection of remote harmonics in signals, in the presence of high noise contaminating the measured waveform. When the number of harmonics is very large and at the same time certain harmonics are distant from the other, the conventional frequency detecting methods are not satisfactory. The methods developed for locating the frequencies as closely spaced sinusoidal signals are appropriate tools for the investigation of power system signals containing harmonics differing significantly in their multiplicity. The SVD methods are ideal tools for such cases. To investigate the methods several experiments have been performed. For comparison, similar experiments have been repeated using the FFT with the same number of samples and sampling period. The comparison has proved an absolute superiority of the SVD for signals burried in noise. However, the SVD computation is much more complex than the FFT, and requires more extensive mathematical manipulations.
Discrete Fourier Transforms
frequency conversion
frequency measurement
harmonic analysis
power system
singular value decomposition
Kozina, T
Wroclaw University of Technology
Osowski, S
Warsaw University of Technology
zbigniew.leonowicz@pwr.wroc.pl
http://zet10.ipee.pwr.wroc.pl/record/24/files/
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I07/1998/I-389
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