• DocumentCode
    2127887
  • Title

    The most suitable mother wavelet for steady-state power system distorted waveforms

  • Author

    Morsi, Walid G. ; El-Hawary, M.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS
  • fYear
    2008
  • fDate
    4-7 May 2008
  • Abstract
    The proliferation of nonlinear load in the electric power system leads to steady-state waveform harmonic distortion. Since harmonic distortion has harmful effects on the electric power system, there is a need to analyze and hence accurately measure their values which is an issue of great concern especially in a deregulated environment. Conventional Fourier based analyzing tools have some limitations concerning frequency and time resolutions. Although wavelet transform overcomes these limitations, it suffers from the problem of spectral leakage which is related to the choice of the wavelet family and the mother wavelet used in the analysis. In order to minimize these errors, this paper presents an approach to select the most suitable wavelet family and the most suitable mother wavelet to achieve accurate measurement of steady-state harmonic distortion using the discrete wavelet transform (DWT). The proposed algorithm is simple and proves to be accurate when applied to two cases of different distortion level.
  • Keywords
    discrete wavelet transforms; harmonic distortion; power system harmonics; power system measurement; discrete wavelet transform; electric power system; mother wavelet; nonlinear load; steady-state waveform harmonic distortion measurement; Discrete wavelet transforms; Distortion measurement; Harmonic analysis; Harmonic distortion; Power system analysis computing; Power system harmonics; Power system measurements; Power systems; Steady-state; Wavelet analysis; Harmonics; power quality; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-1642-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2008.4564487
  • Filename
    4564487