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000000152 001__ 152
000000152 037__ $$aENY-ARTICLE-2008-117
000000152 041__ $$aeng
000000152 100__ $$aBracale, A$$uElectrical Engineering Department,University of Naples "Federico II"
000000152 245__ $$aMeasurement of IEC Groups and Subgroups Using Advanced Spectrum Estimation Methods
000000152 260__ $$c2006-06-15
000000152 300__ $$a10p
000000152 500__ $$aIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 57, NO. 4, APRIL 2008
000000152 520__ $$aThe International Electrotechnical Commission (IEC) standards characterize the waveform distortions in power systems with the amplitudes of harmonic and interharmonic groups and subgroups. These groups/subgroups utilize the waveform spectral components obtained from a fixed frequency resolution discrete Fourier transform (DFT). Using the IEC standards allows for a compromise among the different goals, such as the needs for accuracy, simplification, and unification. In some cases, however, the power-system waveforms are characterized by spectral components that the DFT cannot capture with enough accuracy due to the fixed frequency resolution and/or the spectral leakage phenomenon. This paper investigates the possibility of a group/subgroup evaluation using the following advanced spectrum estimation methods: adaptive Prony, estimation of signal parameters via rotational invariance techniques, and root MUltiple-SIgnal Classification (MUSIC). These adaptive methods use variable lengths of time windows of analysis to ensure the best fit of the waveforms; they are not characterized by the fixed frequency resolution and do not suffer from the spectral leakage phenomenon. This paper also presents the results of the applications of these methods to three test waveforms, to current and voltage waveforms obtained from simulations of a real dc arc-furnace plant, and to waveforms measured at the point of common coupling of the low-voltage network supplying a high-performance laser printer.
000000152 6531_ $$apower quality
000000152 6531_ $$aDC arc furnaces
000000152 6531_ $$adiscrete Fourier transform
000000152 6531_ $$aESPRIT method
000000152 6531_ $$aProny method
000000152 6531_ $$aMUSIC method
000000152 6531_ $$aspectrum estimation
000000152 6531_ $$asubspace methods
000000152 6531_ $$awaveform distortion analysis
000000152 700__ $$aCarpinelli, G$$uElectrical Engineering Department, University of Naples "Federico II"
000000152 700__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000152 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000152 700__ $$aRezmer, J$$uWroclaw University of Technology, Poland
000000152 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000152 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/152/files/$$zAccess to Fulltext
000000152 909CO $$ooai:zet10.pwr.wroc.pl:152$$pglobal
000000152 980__ $$aARTICLE