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000000032 037__ $$aENY-ARTICLE-2008-025
000000032 041__ $$aeng
000000032 088__ $$a1-4244-0813-X/07/$20.00 2007 IEEE
000000032 100__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000032 245__ $$aParametric Spectral Estimation for Power Quality Assessment
000000032 260__ $$c2007-08-24
000000032 300__ $$a7p
000000032 500__ $$aEUROCON 2007 The International Conference on “Computer as a Tool” Warsaw, September 9-12, pp. 1641-1647
000000032 520__ $$aThe authors show that the use of highresolution spectrum estimation methods instead of Fourier-based techniques can improve the accuracy of measurement of spectral parameters of distorted waveforms encountered in power systems, in particular the estimation of the power quality indices (such as harmonic and interharmonic groups and subgroups). The comparison of the frequency and amplitude estimation error, based on numerical simulations is presented. Presentation of selected power quality indices is then followed by comparison of estimation error in the case of application of FFT-based algorithms and parametric methods. Investigated waveforms are typical for dc arc furnace plant. MUSIC and ESPRIT high-resolution methods are used to analyze waveforms in a supply system of a DC arc furnace.
000000032 6531_ $$aPower Quality
000000032 6531_ $$aPower system harmonics
000000032 6531_ $$aSpectral domain analysis
000000032 6531_ $$aMUSIC
000000032 6531_ $$aESPRIT
000000032 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000032 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000032 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/32/files/$$zAccess to Fulltext
000000032 909CO $$ooai:zet10.pwr.wroc.pl:32$$pglobal
000000032 980__ $$aARTICLE