• DocumentCode
    3022140
  • Title

    A Current-Based Security-Constrained Optimal Powe Flow by Multiple Particle Swarm Optimization

  • Author

    Huang, Cong-Hui ; Huang, Chung-Chi ; Tsao, Yi-Ming ; Lin, Kuan-Chen ; Xiao, Ying-Nan

  • Author_Institution
    Dept. of Autom. & Control Eng., Far East Univ., Tainan, Taiwan
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    3147
  • Lastpage
    3150
  • Abstract
    An Equivalent Current Injection (ECI) based Security-Constrained Optimal Power Flow (SCOPF) is presented in this paper and a Multiple Particle Swarm Optimization (MPSO) is developed for solving non-convex Optimal Power Flow problem. The OPF deals with both continuous and discrete control variables and is a mixed-integer OPF. The continuous control variables modeled are the active power output and generator-bus voltage magnitudes, while the discrete ones are the shunt capacitor devices. And first, security Analysis will be conducted before fault occurred in the system. Ranking method will be used to highlight the most severe event caused by the specific facility. Than, a preventive algorithm will make use of the contingency information, and could be kept the operator system security and avoided congestion when fault occurred.
  • Keywords
    load flow control; particle swarm optimisation; power capacitors; power system security; continuous control variables; discrete control variables; equivalent current injection; generator-bus voltage magnitudes; mixed-integer OPF; multiple particle swarm optimization; nonconvex optimal power flow; operator system security; security constrained optimal power flow; shunt capacitor; Genetic algorithms; Jacobian matrices; Load flow; Particle swarm optimization; Security; Simulated annealing; equivalent current injection; mixed integer; multiple particle swarm optimization; optimal power flow; security-constrained OPF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.768
  • Filename
    5631999