• DocumentCode
    593305
  • Title

    Application of particle swarm optimization in the design of large permanent magnet synchronous generators for wind turbines

  • Author

    Alshibani, Salem ; Agelidis, Vassilios Georgios ; Dutta, Ritaban

  • Author_Institution
    Australian Energy Res. Inst. (AERI), Univ. of New South Wales (UNSW), Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    This paper presents the use of particle swarm optimization (PSO) in the design of direct-drive permanent magnet synchronous generators (PMSGs) for mega-watt (MW) level wind turbines. The generator design requirements and constraints are outlined and the PSO is described along with the variations that can be applied depending on the design priorities. Optimization results are presented and compared to designs reported in the technical literature. Results show that the proposed optimization technique is easy to create and apply and produced competitive designs to those using other methods.
  • Keywords
    particle swarm optimisation; permanent magnet generators; synchronous generators; wind power plants; wind turbines; MW level wind turbines; PMSG design; PSO; direct-drive permanent magnet synchronous generator design; mega-watt level wind turbines; particle swarm optimization technique; Air gaps; Equations; Generators; Magnetic flux; Optimization; Stators; Wind turbines; particle swarm optimization; permanent magnet synchronous generators; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2012 IEEE International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-5017-4
  • Type

    conf

  • DOI
    10.1109/PECon.2012.6450198
  • Filename
    6450198