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000000223 037__ $$aENY-ARTICLE-2008-174
000000223 041__ $$aeng
000000223 088__ $$aI07/2006/I-082
000000223 100__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000223 245__ $$aPower quality evaluation using advanced spectrum estimation methods
000000223 260__ $$c2006-06-11
000000223 300__ $$a6p
000000223 500__ $$aOpportunities and challenges under rapid power growth. 2006 International Conference on Power System Technology. PowerCon 2006. Proceedings , Chongqing, China, 22-26 October, 2006. [Piscataway, NJ] : IEEE, cop. 2006. [6] p., paper No. F0291
000000223 520__ $$aThe authors show that the use of high-resolution 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 inter/harmonic 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. Reduction of variance of results is achieved by using robust averaging procedure (winsorized mean).
000000223 6531_ $$adistortion
000000223 6531_ $$aeigenvalues and eigenfunctions
000000223 6531_ $$aelectrical engineering
000000223 6531_ $$aestimation
000000223 6531_ $$afrequency domain analysis
000000223 6531_ $$afurnaces
000000223 6531_ $$aindustrial power system harmonics
000000223 6531_ $$ameasurement
000000223 6531_ $$aparameter estimation
000000223 6531_ $$aquality control
000000223 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000223 8560_ $$fleon99@pwr.wroc.pl
000000223 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/223/files/$$zAccess to Fulltext
000000223 909CO $$ooai:zet10.pwr.wroc.pl:223$$pglobal
000000223 980__ $$aARTICLE