• DocumentCode
    1481641
  • Title

    A Subspace-Based Dynamic Phasor Estimator for Synchrophasor Application

  • Author

    Banerjee, P. ; Srivastava, S.C.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
  • Volume
    61
  • Issue
    9
  • fYear
    2012
  • Firstpage
    2436
  • Lastpage
    2445
  • Abstract
    In this paper, estimation of dynamic phasors, under power-system oscillations, has been proposed using subspace-based techniques. A high sampling rate and few modifications in the subspace-based techniques are suggested to estimate the voltage phasor with a fundamental frequency component without using antialiasing filter to the input signal. The total least squares estimation of signal parameters via rotational invariance techniques and the propagator method are the two subspace-based techniques used for estimating the frequency, as well as the amplitude and the phase, respectively. A compensation for the amplitude and the phase has been proposed to address the dynamic nature of the power-system oscillations. The suggested techniques for the phasor estimation have been tested on simultaneous multiple amplitude and phase oscillations in the presence of noise and also for a fault scenario in New England 39-bus system. The hardware requirement of the proposed phasor estimation technique has also been discussed for its practical viability.
  • Keywords
    frequency estimation; least squares approximations; oscillations; phasor measurement; New England 39-bus system; amplitude compensation; amplitude oscillation; frequency component; frequency estimation; least squares estimation; phase oscillation; power-system oscillations; propagator method; rotational invariance; signal parameters; subspace-based dynamic phasor estimator; synchrophasor application; voltage phasor; Damping; Estimation; Frequency estimation; Noise; Oscillators; Power system dynamics; Vectors; Dynamic phasor estimation; phasor measurement unit (PMU); propagator method (PM); total least squares estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT);
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2012.2190336
  • Filename
    6177248