• DocumentCode
    2612958
  • Title

    Optimal design of direct-driven wind generator using Genetic Algorithm combined with Expert System

  • Author

    Kim, Shang-Hoon ; Jung, Sang-Yong

  • Author_Institution
    Dept. of Electr. Eng., Dong-A Univ., Busan, South Korea
  • fYear
    2010
  • fDate
    9-12 May 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    In this paper, the optimal design of a wind generator, implemented with the hybridized GA(Genetic Algorithm) and ES(Expert System), has been performed to maximize the AEP (Annual Energy Production) over the whole wind speed characterized by the statistical model of wind speed distribution. In particular, ES has contributed to reducing the excessive computing time maintaining the reliable accuracy for the optimization process compared with GA only.
  • Keywords
    expert systems; genetic algorithms; statistical analysis; wind power plants; ES; GA; direct driven wind generator; expert system; genetic algorithm; optimal design; statistical model; wind speed distribution; Algorithm design and analysis; Expert systems; Genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481699
  • Filename
    5481699
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2612958