• DocumentCode
    2414897
  • Title

    A new family of measurement technique for tracking voltage phasor, local system frequency, harmonics and DC offset

  • Author

    Yang, Jun-Zhe ; Liu, Chih-Wen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1327
  • Abstract
    A series of precise digital algorithms based on discrete Fourier transforms (DFT) to calculate the frequency and phasor in real-time are proposed. These algorithms, we called the smart discrete Fourier transforms (SDFT) family, succeeded in overcoming several problems of DFT, which include frequency deviation, harmonics and DC offset. Moreover, if using smoothing windows to filter noise, the SDFT family is not affected by phase shift and amplitude decay. Factional cycle computing is allowed. Also, the advantages of DFT can still be reserved in SDFT family. These make the SDFT family more accurate than conventional DFT. Besides, SDFT family is very easy to implement, so it is very suitable for use in power systems. We provide the general form of SDFT family and simulation results compared with conventional DFT method to verify the claimed benefits of SDFT family
  • Keywords
    discrete Fourier transforms; frequency measurement; power system harmonics; power system measurement; voltage measurement; DC offset measurement; amplitude decay; digital algorithms; discrete Fourier transforms; factional cycle computing; frequency deviation; harmonics measurement; local system frequency measurement; measurement technique; noise filtering; phase shift; power systems; smart discrete Fourier transforms; smoothing windows; voltage phasor measurement; Discrete Fourier transforms; Frequency; Measurement techniques; Noise level; Phase noise; Power harmonic filters; Power system harmonics; Power system simulation; Smoothing methods; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 2000. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-6420-1
  • Type

    conf

  • DOI
    10.1109/PESS.2000.868716
  • Filename
    868716