• DocumentCode
    593341
  • Title

    Online coherency identification based on correlation characteristics of generator rotor angles

  • Author

    Aghamohammadi, M.R. ; Tabandeh, S.M.

  • Author_Institution
    Iran Dynamic Res. Center, Power & Water Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    In this paper, a new approach for recognizing coherent groups of generators based on the correlation characteristics of generator rotor angle oscillation is proposed. In this approach, by online measuring generators rotor angle oscillations, the correlation coefficients between all pairs of generators are evaluated. Based on the evaluated correlation coefficients, coherent groups of generators are identified. Comparing the result with time domain transient stability simulation following a disturbance and also modal analysis, leads to similar coherent groups. The proposed approach is demonstrated on the IEEE 39-bus system with promising results.
  • Keywords
    power generation faults; power system transient stability; rotors; time-domain analysis; IEEE 39-bus system; coherent groups; correlation coefficients; disturbance analysis; generator rotor angle oscillation; modal analysis; online coherency identification; time domain transient stability; Correlation; Correlation coefficient; Generators; Oscillators; Power system dynamics; Power system stability; Rotors; correlation coefficient; generator coherency; modal analysis; rotor angle oscillation; transient stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2012 IEEE International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-5017-4
  • Type

    conf

  • DOI
    10.1109/PECon.2012.6450264
  • Filename
    6450264