• DocumentCode
    1490678
  • Title

    New signal processing tools applied to power quality analysis

  • Author

    Poisson, O. ; Rioual, P. ; Meunier, M.

  • Author_Institution
    Direction des Etudes et Recherches, Electr. de France, Clamart, France
  • Volume
    14
  • Issue
    2
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    This paper deals with the comparison of new signal processing tools for power quality analysis. Three new signal processing techniques are considered: the continuous wavelet transform, the multiresolution analysis and the quadratic transform. Their theoretical behaviours are investigated using the basic theory of the Fourier transform. Then, examples of the four most frequent disturbances met in the power system are chosen. Finally, each kind of electrical disturbance is analyzed with example representing each tool. A qualitative comparison of results shows the advantages and drawbacks of each new signal processing technique applied to voltage disturbance analysis. The continuous wavelet transform appears to be a reliable method for detecting and measuring voltage sags, flicker and transients in power quality analysis
  • Keywords
    Fourier transforms; power supply quality; signal processing; voltage measurement; wavelet transforms; Fourier transform; continuous wavelet transform; electrical disturbance; flicker detection; flicker measurement; multiresolution analysis; power quality analysis; quadratic transform; signal processing tools; transients detection; transients measurement; voltage disturbance analysis; voltage sags detection; voltage sags measurement; Continuous wavelet transforms; Fourier transforms; Multiresolution analysis; Power quality; Power system analysis computing; Power system reliability; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.754104
  • Filename
    754104