• DocumentCode
    2275146
  • Title

    A novel method for optimal placing wind turbines in a wind farm using particle swarm optimization (PSO)

  • Author

    Rahmani, Rasoul ; Khairuddin, A. ; Cherati, Sam M. ; Pesaran, H. A Mahmoud

  • Author_Institution
    Fac. of Electr. Power Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2010
  • fDate
    27-29 Oct. 2010
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    In this paper, for the first time a particle swarm optimization (PSO) method is utilized to optimize placing of wind turbines in a wind park. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy. Simulated results and graphs are carried out to prove that the present study is improved wind farm efficiency and extract more electrical power in respect of the total costs.
  • Keywords
    particle swarm optimisation; wind turbines; PSO; electrical power; optimal placing wind turbines; particle swarm optimization; wind farm; wind park; Equations; Gallium; Mathematical model; Optimization; Rotors; Wind farms; Wind turbines; Particle Swarm Optimization (PSO); optimization; wind farm; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IPEC, 2010 Conference Proceedings
  • Conference_Location
    Singapore
  • ISSN
    1947-1262
  • Print_ISBN
    978-1-4244-7399-1
  • Type

    conf

  • DOI
    10.1109/IPECON.2010.5697144
  • Filename
    5697144