• DocumentCode
    2875344
  • Title

    Assessment of RMS computation in terms of power quality event detection

  • Author

    Balouji, Ebrahim ; Salor, Ozgul

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, Gazi Univ., Ankara, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    2396
  • Lastpage
    2399
  • Abstract
    In this paper, work on assessment of root-mean-square (RMS) computation recommended in the IEC Standards for power quality event detection with respect to various signal parameters. Correctness of the RMS computation in the standard IEC 61000-4-30, has been tested for power system frequency deviations, point-on-wave changes and phase differences between the fundamental frequency and harmonics in cases of both no harmonics and with harmonics. It has been shown that point-on-wave has negligible effect on RMS errors; however, frequency deviations and phase differences can significantly effect the RMS error, upto 0.3% even in the case of a single harmonic presence. It is recommended that the RMS computation method given in the IEC Standard 61000-4-30 should be assessed based on signal composition for the correctness of power quality event detection.
  • Keywords
    IEC standards; least mean squares methods; power supply quality; IEC 61000-4-30 standard; RMS computation assessment; phase differences; point-on-wave changes; power quality event detection; root mean-square computation; signal composition; Harmonic analysis; IEC standards; Power quality; Power system harmonics; Voltage measurement; Power Quality; Power Quality Events; Power Quality Standards; Root-Mean-Square (RMS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130364
  • Filename
    7130364