• DocumentCode
    468680
  • Title

    Design optimization and comparison of large direct-drive permanent magnet wind generator systems

  • Author

    Li, Hui ; Chen, Zhe

  • Author_Institution
    Aalborg Univ., Aalborg
  • fYear
    2007
  • fDate
    8-11 Oct. 2007
  • Firstpage
    685
  • Lastpage
    690
  • Abstract
    The objective of this paper is to investigate the most cost-effective individual direct-drive permanent magnet (PM) wind generator systems by using the system design optimization method. Firstly, the analytical models of a three-phase radial-flux PM generator with a back to back power converter are presented. The design optimization is developed with a genetic algorithm for the minimum generator system cost. In order to demonstrate the electromagnetic designs and the optimization models, the design results of a 500-kW direct-drive PM generator are compared. Then, the optimal design approach is further employed for a range of power ratings from 750-kW up to 10-MW. The optimization results of the investigated generator systems are obtained. The criteria used for comparisons are considered, based on not only the generator design indexes, but also the annual energy production (AEP) per cost at the typical wind climates, respectively. Finally, the suitable ranges of the most cost-effective PM wind generator systems are also discussed.
  • Keywords
    drives; genetic algorithms; permanent magnet generators; power convertors; wind power plants; annual energy production; back to back power converter; electromagnetic designs; generator design indexes; genetic algorithm; large direct-drive permanent magnet wind generator systems; power 500 kW; system design optimization; three-phase radial-flux PM generator; wind climates; Analytical models; Cost function; Design optimization; Electromagnetic modeling; Genetic algorithms; Optimization methods; Permanent magnets; Power generation; Power system modeling; Wind energy generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2007. ICEMS. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-86510-07-2
  • Electronic_ISBN
    978-89-86510-07-2
  • Type

    conf

  • Filename
    4412171