• DocumentCode
    1381750
  • Title

    A Dynamic Synchrophasor Estimation Algorithm for Online Application

  • Author

    Mai, R.K. ; He, Z.Y. ; Fu, Ling ; Kirby, Brian ; Bo, Zhi Qian

  • Author_Institution
    Dept. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    570
  • Lastpage
    578
  • Abstract
    A new algorithm for synchrophasor estimation is proposed to improve estimation accuracy under dynamic conditions. The real component of a constantly rotating vector and a low-frequency band-limited vector, which is linearized by Taylor series, is employed to model supplied signals in power systems. And dynamic characteristics of power systems are described in form of Taylor series´ derivatives, which are calculated through consecutive phasors. The accuracy of phasor estimation was dramatically improved by the reassignment of estimation of short-time Fourier transform (STFT) with knowledge of these derivatives. Simulation results allow us to make the conclusion that the proposed algorithm improves the accuracy of phasor estimations under dynamic conditions dramatically, such as frequency ramping, low frequency oscillation, etc., at the cost of the calculation burden is a minimal increase whilst still meeting the requirements of the application for power systems.
  • Keywords
    Fourier transforms; frequency estimation; phase measurement; power system faults; power system measurement; power system state estimation; STFT; Taylor series; constantly rotating vector; dynamic synchrophasor estimation algorithm; low frequency oscillation; low-frequency band-limited vector; online application; phasor estimation; power systems dynamic characteristics; short-time Fourier transform; Finite impulse response (FIR) filter; Taylor series; frequency deviation; phasor measurement units (PMUs); power system oscillation; short-time Fourier transform (STFT); synchrophasor; total vector error (TVE);
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2034293
  • Filename
    5382494