• DocumentCode
    1918526
  • Title

    Evaluation of harmonic levels in electrical networks by statistical indexes

  • Author

    Cavallini, A. ; Cacciari, M. ; Loggini, M. ; Montanari, G.C.

  • Author_Institution
    Istituto di Elettrotecnica Ind., Bologna, Italy
  • fYear
    1993
  • fDate
    2-8 Oct 1993
  • Firstpage
    1586
  • Abstract
    The problem of harmonic pollution in electrical networks is dealt with using statistical procedures. Due to the randomness of the operating conditions of nonlinear devices, a stochastic approach seems the most suitable for obtaining results meeting both technical and economical requirements. A comparative study is carried out on the effectiveness of semiempirical expressions which have been proposed to simplify the evaluation and forecasting of harmonic pollution levels in AC networks. It is found that the approximate model for the stochastic sum of harmonic currents at plant buses could be usefully employed for the design of network devices relevant to distortion and power factor compensation, such as filters and capacitors, as well as for the evaluation of immunity levels
  • Keywords
    digital simulation; power system analysis computing; power system harmonics; statistical analysis; stochastic processes; AC; approximate model; buses; capacitors; distortion; electrical networks; filters; harmonic pollution; immunity levels; nonlinear devices; power factor compensation; power systems; semiempirical expressions; statistical indexes; stochastic approach; Distribution functions; Economic forecasting; Environmentally friendly manufacturing techniques; Industrial electronics; Industrial pollution; Intelligent networks; Power generation economics; Power harmonic filters; Power system economics; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 1993., Conference Record of the 1993 IEEE
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-7803-1462-X
  • Type

    conf

  • DOI
    10.1109/IAS.1993.299242
  • Filename
    299242