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000000009 001__ 9
000000009 037__ $$aENY-ARTICLE-2008-008
000000009 041__ $$aeng
000000009 088__ $$aAZ I07/06/I-006
000000009 100__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000009 245__ $$aHigh resolution spectrum-estimation methods for signal analysis in power systems.
000000009 260__ $$c2006-01-16
000000009 300__ $$a7p
000000009 500__ $$aIEEE Trans. Instrum. Meas. 2006 Vol. 55 No. 1 pp. 219-225
000000009 520__ $$aThe spectrum-estimation methods based on the Fourier transform suffer from the major problem of resolution. The methods were developed and are mostly applied for periodic signals under the assumption that only harmonics are present and the periodicity intervals are fixed, while periodicity intervals in the presence of interharmonics are variable and very long. A novel approach to harmonic and interharmonic analysis based on the “subspace” methods is proposed. Min-norm and music harmonic retrieval methods are examples of high-resolution eigenstructure- based methods. Their resolution is theoretically independent of the signal-to-noise ratio (SNR). The Prony method as applied for parameter estimation of signal components was also tested in the paper. Both the high-resolution methods do not show the disadvantages of the traditional tools and allow exact estimation of the interharmonic frequencies. To investigate the methods, several experiments were carried out using simulated signals, current waveforms at the output of an industrial frequency converter, and current waveforms during out-of-step operation of a synchronous generator. For comparison, similar experiments were repeated using the fast Fourier transform (FFT). The comparison proved the superiority of the new methods.
000000009 6531_ $$aEigenvalues and eigenfunctions
000000009 6531_ $$aharmonic analysis
000000009 6531_ $$aindustrial power system harmonics
000000009 6531_ $$ainverters
000000009 6531_ $$asignal resolution
000000009 6531_ $$asynchronous generator
000000009 6531_ $$atransient analysis
000000009 6531_ $$atime-frequency analysis
000000009 700__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000009 700__ $$aRezmer, J$$uWroclaw University of Technology, Poland
000000009 700__ $$aSchegner, P$$uTechnische Universitaet Dresden, Germany
000000009 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000009 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/9/files/$$zAccess to Fulltext
000000009 909CO $$ooai:zet10.pwr.wroc.pl:9$$pglobal
000000009 980__ $$aARTICLE