• DocumentCode
    1567067
  • Title

    Determining IEEE 519 Compliance of a Customer in a Power System

  • Author

    Mazumdar, J. ; Harley, R.G.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2007
  • Firstpage
    2758
  • Lastpage
    2764
  • Abstract
    Nonlinear loads inject harmonics in a power distribution network. The interaction of the nonlinear load harmonics with the network impedances creates voltage distortions at the point of common coupling (PCC) which in turn affects other loads connected to the same PCC. This paper presents a neural network based technique to establish determine the true current harmonic distortion of a customer in the presence of distorted voltage. The proposed method is applied at the primary metering point of a customer in a distribution network and the results are used to establish compliance with IEEE 519.
  • Keywords
    distribution networks; harmonic distortion; neural nets; power engineering computing; power system harmonics; IEEE 519 Compliance; customer; network impedances; neural network based technique; nonlinear load harmonics; point of common coupling; power distribution network; primary metering point; voltage distortions; Current measurement; Distortion measurement; Harmonic distortion; Impedance; Neural networks; Pollution measurement; Power system harmonics; Power systems; Substations; Voltage; Harmonic distortion; IEEE 519; Neural networks; Power quality; Power system harmonics; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-0654-8
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2007.4342455
  • Filename
    4342455