• DocumentCode
    3475700
  • Title

    Optimal choice of wind turbine generator based on Monte-Carlo method

  • Author

    Yichun, Wu ; Ming, Ding

  • Author_Institution
    Anhui Vocational & Tech. Coll. of Electr. Eng., Hefei
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    2487
  • Lastpage
    2491
  • Abstract
    Wind power generation of wind farm has relation to wind energy resources, wind generation unit parameter and its crew, etc. The goal of optimizing the design for wind turbine generator in wind farm should be to utilize wind energy as efficiently as possible and to reduce production cost of wind power generation. Therefore, the paper investigates optimal choice of wind generation unit type matching wind farm site, which takes wind power generation capacity factor and generation cost as optimization target. Probabilistic method used to evaluate the economic indices of wind turbine generators, such as wind power generation and capacity factor, is more reasonable due to wind energy randomness and component failure uncertainty. Results obtained from several case studies are presented and discussed.
  • Keywords
    Monte Carlo methods; optimisation; power generation economics; probability; turbogenerators; wind power plants; Monte-Carlo method; capacity factor; generation cost; probabilistic method; wind energy resources; wind farm; wind generation unit parameter; wind turbine generator; Cost function; Design optimization; Power generation; Power generation economics; Production; Wind energy; Wind energy generation; Wind farms; Wind power generation; Wind turbines; Monte-Carlo method; capacity factor; optimal choice of wind generation unit type; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523829
  • Filename
    4523829