• DocumentCode
    3349447
  • Title

    A Novel Frequency Estimation Algorithm on Dynamic Condition in Power System

  • Author

    Mai RuiKun ; He Zhengyou ; Brian, K. ; Bo Zhiqian

  • Author_Institution
    Coll. of Electr. Eng., Southwest Jiaotong Univ. Chengdu, Chengdu
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A novel dynamic instantaneous power-system frequency estimation method for phaser measurement units (PMUs) was proposed for generalized sinusoidal models, which was intending to simulate the dynamic condition via modulating phase and considering magnitude damping. Frequency estimation from traditional discrete Fourier transform (DFT) could be attained based on frequency and damping character of voltage signal and sampling frequency. Two slightly different were introduced to meet the different sampling system, which were for fixed sampling and frequency tracking system. Simulation results and laboratory experiments allowed us to conclude that proposed method´s performance was much better in comparison with the widely used phasor-based frequency measurement one under dynamic condition such as power system oscillation.
  • Keywords
    discrete Fourier transforms; frequency estimation; power system parameter estimation; sampling methods; discrete Fourier transform; dynamic condition; dynamic instantaneous frequency estimation algorithm; fixed sampling; frequency tracking system; generalized sinusoidal models; magnitude damping; modulating phase; phaser measurement units; phasor-based frequency measurement; power system; power system oscillation; sampling frequency; Damping; Discrete Fourier transforms; Frequency estimation; Heuristic algorithms; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Power systems; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918094
  • Filename
    4918094