• DocumentCode
    333878
  • Title

    A study on decomposition and model reduction for wide area power system stability assessment

  • Author

    Nihei, Nobuyuki ; Oyama, Tsutomu

  • Author_Institution
    Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
  • Volume
    1
  • fYear
    1999
  • fDate
    31 Jan-4 Feb 1999
  • Firstpage
    651
  • Abstract
    In order to stabilize a wide area power system, it is very important to have a fast stability assessment method. In this paper, a decomposition and model reduction method for wide area power system stability assessment is discussed. The subsystem model reduction is performed using the characteristic of each oscillation mode. The oscillation modes which only related to the local oscillation are eliminated. With the reduced and decomposed model, it is possible to estimate the steady state stability quickly. Furthermore, since the proposed method is based on the decomposition of the system, it is possible to utilize a parallel processing technique to improve the calculation speed. In order to show the effectiveness of the method, steady state stability analysis was performed using the model power system
  • Keywords
    oscillations; parallel processing; power system analysis computing; power system dynamic stability; reduced order systems; decomposition; fast stability assessment method; local oscillation; model power system; model reduction; oscillation mode; parallel processing technique; steady state stability analysis; steady state stability estimation; subsystem model reduction; wide area power system; wide area power system stability assessment; Eigenvalues and eigenfunctions; Equations; Frequency; Power engineering and energy; Power system analysis computing; Power system modeling; Power system stability; Reduced order systems; Stability analysis; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society 1999 Winter Meeting, IEEE
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-4893-1
  • Type

    conf

  • DOI
    10.1109/PESW.1999.747532
  • Filename
    747532