• DocumentCode
    1028531
  • Title

    Measurement of IEC Groups and Subgroups Using Advanced Spectrum Estimation Methods

  • Author

    Bracale, Antonio ; Carpinelli, Guido ; Leonowicz, Zbigniew ; Lobos, Tadeusz ; Rezmer, Jacek

  • Author_Institution
    Univ. of Naples Federico II, Naples
  • Volume
    57
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    672
  • Lastpage
    681
  • Abstract
    The 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.
  • Keywords
    IEC standards; adaptive estimation; discrete Fourier transforms; power system harmonics; power system parameter estimation; signal classification; spectral analysis; DC arc-furnace plant; IEC standards; International Electrotechnical Commission; MUSIC; adaptive Prony estimation; advanced spectrum estimation methods; discrete Fourier transform; fixed frequency-resolution DFT; laser printer; power system harmonic; root multiple-signal classification; rotational invariance techniques; waveform distortions; DC arc furnaces; Prony method; discrete Fourier transform (DFT); estimation of signal parameters via the rotational invariance techniques (ESPRIT) method; root MUltiple-SIgnal Classification (MUSIC) method; spectrum estimation; subspace methods; waveform-distortion analysis;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2007.911701
  • Filename
    4426067