• DocumentCode
    3471404
  • Title

    Risk based probabilistic security evaluation algorithm of bulk power system

  • Author

    He, Hailei ; Guo, Jianbo ; Song, Yunting ; Zhang, Dongxia

  • Author_Institution
    Power Syst. Dept., China Electr. Power Res. Inst. (CEPRI), Beijing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1231
  • Lastpage
    1236
  • Abstract
    In this paper a more accurate probabilistic security evaluation algorithm for bulk power system based on analytical approach is proposed. Not only the single or double failure of line or transformer but also the multiple failures caused by protection failure to operate or rejection can be modeled to get the probabilistic security indices. Node and system risk indices are also calculated. New probabilistic security evaluation software named PSD-PRE which achieves the calling of PSD-BPA is developed using Visual FORTRAN and Visual C++. Accelerating algorithm is adopted to alleviate the calculation burden of PSD- PRE. PSD-PRE has been tested using Macao electric power network. The simulation results show that PSD-PRE is valid and available and indices can be used as the basis of transmission network planning.
  • Keywords
    power engineering computing; power system security; transmission networks; Macao electric power network; Visual C++; Visual FORTRAN; bulk power system; probabilistic security indices; risk based probabilistic security evaluation algorithm; transmission network planning; Helium; Power system analysis computing; Power system modeling; Power system planning; Power system protection; Power system reliability; Power system security; Power system transients; Risk analysis; Software algorithms; Analytical method; Bulk power system; Probabilistic evaluation; Risk indices; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523595
  • Filename
    4523595