• DocumentCode
    2906280
  • Title

    A Multiple Scenario Security Constrained Reactive Power Planning Tool Using EPSO

  • Author

    Keko, H. ; Duque, A. Jaramillo ; Miranda, V.

  • Author_Institution
    Inst. of Eng., INESC-Porto, Porto
  • fYear
    2007
  • fDate
    5-8 Nov. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Evolutionary particle swarm optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from particle swarm optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.
  • Keywords
    particle swarm optimisation; reactive power control; FACTS devices; capacitor banks; evolutionary particle swarm optimization; reactive power compensation; security constrained reactive power planning tool; transformer taps; voltage-regulated buses; Electric variables control; Evolutionary computation; Particle swarm optimization; Power system modeling; Power system planning; Power systems; Reactive power; Reactive power control; Robustness; Security; evolutionary algorithms; particle swarm optimization; reactive power planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
  • Conference_Location
    Toki Messe, Niigata
  • Print_ISBN
    978-986-01-2607-5
  • Electronic_ISBN
    978-986-01-2607-5
  • Type

    conf

  • DOI
    10.1109/ISAP.2007.4441589
  • Filename
    4441589