• DocumentCode
    2938944
  • Title

    An Improved Particle Swarm Optimization Algorithm for Reactive Power Optimization

  • Author

    Li Ran ; Sheng Si-qing

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an improved particle swarm optimization algorithm (IPSO) to optimal reactive power dispatch and voltage control of power system. The improved particle swarm optimization algorithm introduces the adaptive inertia factor into the classical swarm algorithm to improve the global search capability and accelerate the searching speed. Study the DPSO algorithm to construct the collection of discrete solution values and the collection of discrete velocity values, then the transformer taps and the reactive power source accurately described as discrete value during the whole optimization process. By this way, making the variable expression accurately reflects the actual situation, optimized results are more realistic. The IPSO applied for reactive power optimization is evaluated on an IEEE 30-bus power system. Simulation results compared with the others same type algorithms, proved its effectiveness and superiority.
  • Keywords
    particle swarm optimisation; power system control; reactive power control; voltage control; DPSO algorithm; IEEE 30-bus power system; IPSO; improved particle swarm optimization algorithm; optimal reactive power dispatch; power system; reactive power optimization; voltage control; Algorithm design and analysis; Convergence; Generators; Optimization; Particle swarm optimization; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748989
  • Filename
    5748989