• DocumentCode
    178591
  • Title

    Joint frequency and phasor estimation in unbalanced three-phase power systems

  • Author

    Routtenberg, T. ; Lang Tong

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    2982
  • Lastpage
    2986
  • Abstract
    The problem of joint off-nominal frequency and phasor estimation in an unbalanced three-phase power system using a phasor measurement unit (PMU) is considered. Voltage unbalance arises when magnitudes are different from each other or when phases are unequally spaced. A general model for the zero, positive, and negative sequences from a PMU measurement at off-nominal frequencies is presented. Then, the maximum likelihood (ML) estimator is developed under an unbalanced condition for joint symmetrical components phasors and frequency estimation. Finally, a low complexity technique is developed for the estimation of frequency deviation based a new autoregressive (AR) representation of the innovation process for the symmetrical component.
  • Keywords
    autoregressive processes; frequency estimation; maximum likelihood estimation; phasor measurement; power systems; PMU; autoregressive representation; low complexity technique; maximum likelihood estimator; negative sequences; off-nominal frequency estimation; phasor estimation; phasor measurement unit; positive sequences; symmetrical components phasors; unbalanced three-phase power systems; voltage unbalance; zero sequences; Acoustics; Conferences; Decision support systems; Hafnium; Speech; Speech processing; Frequency estimation; Smart Grid; phasor measurement unit (PMU); symmetrical components; unbalanced power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854147
  • Filename
    6854147