• DocumentCode
    1065810
  • Title

    Initial results in power system identification from injected probing signals using a subspace method

  • Author

    Zhou, Ning ; Pierre, John W. ; Hauer, John F.

  • Author_Institution
    Wyoming Univ., Laramie, WY
  • Volume
    21
  • Issue
    3
  • fYear
    2006
  • Firstpage
    1296
  • Lastpage
    1302
  • Abstract
    In this paper, the authors use the Numerical algorithm for Subspace State Space System IDentification (N4SID) to extract dynamic parameters from phasor measurements collected on the western North American Power Grid. The data were obtained during tests on June 7, 2000, and they represent wide area response to several kinds of probing signals, including low-level pseudo-random noise (LLPRN) and single-mode square wave (SMSW) injected at the Celilo terminal of the Pacific HVDC Intertie (PDCI). An identified model is validated using a cross validation method. Also, the obtained electromechanical modes are compared with the results from Prony analysis of a ringdown and with signal analysis of ambient data measured under similar operating conditions. The consistent results show that methods in this class can be highly effective, even when the probing signal is small
  • Keywords
    HVDC power transmission; numerical analysis; phase measurement; power grids; power system measurement; HVDC intertie; North American power grid; Prony analysis; cross validation method; dynamic parameter extraction; electromechanical modes; injected probing signals; low-level pseudorandom noise; numerical algorithm; phasor measurement; power system identification; single-mode square wave injection; subspace state space system identification; Data mining; Power grids; Power measurement; Power system dynamics; Power system measurements; Power systems; Signal analysis; Signal processing; State-space methods; System identification; Estimation; Numerical algorithm for Subspace State Space System IDentification (N4SID); Wide Area Measurement System (WAMS); phasor measurements; power system modeling; power system monitoring; system identification;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.879292
  • Filename
    1664966