• DocumentCode
    631989
  • Title

    A novel method based on Prony analysis for fundamental frequency estimation in power systems

  • Author

    Soon-Ryul Nam ; Seung-Hwa Kang ; Liu-Ming Jing ; Sang-Hee Kang ; Sang-Won Min

  • Author_Institution
    Dept. of Electr. Eng., Myongji Univ., Yongin, South Korea
  • fYear
    2013
  • fDate
    17-19 April 2013
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    A Novel method for fundamental frequency estimation in power systems is presented, which has three stages. In the first stage, the input signal is decomposed into two orthogonal components by using cosine and sine filters with a variable window. In the second stage, the cosine-filtered and sine-filtered signals are squared to improve the performance of estimating the fundamental frequency. Finally, Prony analysis estimates the fundamental frequency by approximating the squared signals. The performance of the proposed method was estimated for dynamic conditions on an IEEE 5-bus system. PSCAD/EMTDC was used to generate voltage signals for a load increase case and single phase-to-ground faults. The performance evaluation showed that the proposed method accurately estimated the fundamental frequency of power system signals.
  • Keywords
    IEEE standards; approximation theory; filtering theory; frequency estimation; power filters; power system faults; power system parameter estimation; IEEE 5-bus system; PSCAD-EMTDC; cosine-filtered signal; fundamental frequency estimation; input signal decomposition; power system; prony analysis; sine-filtered signal; single phase-to-ground fault; squared signal approximation; voltage signal generation; Estimation; Frequency estimation; Generators; PSCAD; Power harmonic filters; Springs; Cosine filter; Fundamental frequency estimation; PSCAD/EMTDC; Prony analysis; Sine filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON Spring Conference, 2013 IEEE
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-6347-1
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2013.6584465
  • Filename
    6584465