• DocumentCode
    1501154
  • Title

    Damping and Relative Mode-Shape Estimation in Near Real-Time Through Phasor Approach

  • Author

    Chaudhuri, Nilanjan Ray ; Chaudhuri, Balarko

  • Author_Institution
    Control & Power Res. Group, Imperial Coll. London, London, UK
  • Volume
    26
  • Issue
    1
  • fYear
    2011
  • Firstpage
    364
  • Lastpage
    373
  • Abstract
    A technique for estimating damping and electromechanical mode-shape in near real-time as oscillations develop under transient condition is presented. At each sampling instant, measured signals are expressed as phasors using corrected values of modal frequencies. Damping is obtained from the exponential variation of estimated phasor magnitude using a moving window least squares (LS) algorithm. The relative mode-shape is computed directly from the magnitude and phase angle of the phasors. Random variations in loads are considered to examine possible impact on phasor estimation, especially the frequency correction loop. Accuracy and speed of convergence is validated by comparing the time variation of estimated dampings and relative mode-shapes against the actual values obtained from the linearized models under respective operating conditions. Besides the well-known four-machine, two-area test system, a 16-machine, five-area system is considered for illustration of the concept. Monte Carlo simulations are used to capture the statistical variability in estimation as a result of persistent disturbances (e.g., random fluctuations in loads) leading to different signal-to-noise ratios (SNRs). Results from a commercial real-time simulator illustrate the practical feasibility of the proposed approach.
  • Keywords
    Kalman filters; Monte Carlo methods; least squares approximations; phase measurement; real-time systems; shape measurement; Kalman filtering; Monte Carlo simulation; exponential variation; five area system; frequency correction loop; linearized model; persistent disturbance; phasor magnitude estimation; real-time simulator; relative mode shape estimation; sampling instant; signal-to-noise ratio; statistical variability; two area test system; window least square algorithm; Damping; Kalman filtering; Monte Carlo; frequency; least squares; mode-shape; phasor;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2049386
  • Filename
    5471110