• DocumentCode
    2517027
  • Title

    Market clearing considering power system security

  • Author

    Azadani, E. Nasr ; Hosseinian, S.H. ; Moghani, J.

  • Author_Institution
    EE Dept., Tehran Polytech., Tehran
  • fYear
    2008
  • fDate
    6-7 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new technique based on particle swarm optimization (PSO) is proposed to incorporate voltage stability limits into traditional optimal power flow (OPF) formulations. Two objective functions such as fuel cost and voltage stability margin (loadability) are considered to be optimized. In proposed method systempsilas maximum loading margin (loadability) is calculated by continuation power flow (CPF). Particle swarm optimization (PSO) is employed to solve the proposed multi-objective OPF problem. The proposed method allows system operators in order to control the desired level of system security via adjusting the weighting factors of the different objective functions directly. Simulation results for the IEEE 30-bus test system demonstrate the effectiveness of the PSO in solving multi-objective OPF problems.
  • Keywords
    load flow; particle swarm optimisation; power markets; power system security; IEEE 30-bus test system; market clearing; maximum loading margin; particle swarm optimization; power system security; traditional optimal power flow; voltage stability limits; Ant colony optimization; Control systems; Electric variables control; Fuels; Load flow; Particle swarm optimization; Power system security; Power system stability; Steady-state; Voltage; Continuation Power Flow; Optimal Power Flow; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Conference, 2008. EPEC 2008. IEEE Canada
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-2894-6
  • Electronic_ISBN
    978-1-4244-2895-3
  • Type

    conf

  • DOI
    10.1109/EPC.2008.4763394
  • Filename
    4763394