• DocumentCode
    3384979
  • Title

    Implementation of power system model identification for locating in-phase generators

  • Author

    Chusovitin, P.V. ; Pazderin, A.V.

  • Author_Institution
    Automated Power Syst. Dept., Ural Fed. Univ., Yekaterinburg, Russia
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The paper describes investigation of the new opportunities for power system monitoring using Wide Area Measurement Systems (WAMS). Phasor Measurement Unit (PMU) data is used for power system model identification in the form of state-space model. Implementing the modal analysis to identified state-space model gives the opportunity to control proximity of the operation point to the feasibility boundary and track in-phase generators. All time domain simulations of the research are conducted for two-generator-swing-bus system. Calculations were carried out in Matlab.
  • Keywords
    electric generators; machine control; mathematics computing; modal analysis; power system identification; power system measurement; Matlab; PMU; WAMS; control proximity; locating in-phase generators; modal analysis; phasor measurement unit data; power system model identification; state-space model; time domain simulations; two-generator-swing-bus system; wide area measurement systems; Accuracy; Eigenvalues and eigenfunctions; Generators; Mathematical model; Noise; Power system dynamics; Power system stability; System identification; modal analysis; power system stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Berlin
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4673-2595-0
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2012.6465721
  • Filename
    6465721