• DocumentCode
    1875956
  • Title

    Some approaches to approximate the probability density functions of harmonics

  • Author

    Esposito, T. ; Varilone, P.

  • Author_Institution
    Seconda Universita degli Studi di Napoli, Italy
  • Volume
    1
  • fYear
    2002
  • fDate
    6-9 Oct. 2002
  • Firstpage
    365
  • Abstract
    Some analytical approaches to approximate the probability density functions (PDFs) of voltage and current harmonics in electric power system are presented. The approaches are due to Johnson, Pearson, Gram-Charlier and Edgeworth and are used to calculate the percentiles and maximum values of the harmonic PDFs, being these quantities the statistical measures of greatest interest in many International Harmonic Standards and Recommendations. The approaches assume as input data the moments or cumulants of the PDFs to be approximated, being these quantities easier and quicker to be obtainable than the PDFs themselves. Several numerical applications are presented and discussed comparing the percentiles and maximum values evaluated with the proposed approaches with the ones obtained starting from the true probability density functions. The main conclusion of the paper is that the best approach to be used for current and voltage harmonic PDF approximation is the one based on the Pearson distributions.
  • Keywords
    power system harmonics; probability; statistical analysis; Pearson distributions; current harmonics; electric power system; percentiles; probabilistic approaches; probability density functions; statistical measures; voltage harmonics; Electricity supply industry; Harmonic analysis; IEEE members; Industrial power systems; Load flow; Measurement standards; Power system harmonics; Probability density function; Steady-state; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power, 2002. 10th International Conference on
  • Print_ISBN
    0-7803-7671-4
  • Type

    conf

  • DOI
    10.1109/ICHQP.2002.1221461
  • Filename
    1221461