• DocumentCode
    2602725
  • Title

    Wind power penetration limit calculation based on power system reliability

  • Author

    Xiaoqing, Han ; Yong, Yan

  • Author_Institution
    Coll. of Electr. & Power Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The calculation of penetration limits of wind farm is an important issue on the planning of wind farm, Basing on reliability modeling of wind farm, this paper proposes a method to calculate penetration limits of wind farm by taking reliability index as restriction. Since load demand and output of wind farm are of randomicity, and the restriction is expressed as form of reliability, Monte Carlo method and genetic algorithm are used on test system. By programming on MATLAB, two cases with different average wind speeds and different confidence levels are considered. The results show that it is very essential to take into account stochastic characteristics of wind speed on calculating penetration limits.
  • Keywords
    Monte Carlo methods; genetic algorithms; power generation planning; power generation reliability; wind power plants; Matlab; Monte Carlo method; genetic algorithm; power system reliability; reliability index; stochastic characteristics; test system; wind farm; wind power penetration limit calculation; wind speed; Genetic algorithms; MATLAB; Mathematical model; Power system modeling; Power system planning; Power system reliability; System testing; Wind energy; Wind farms; Wind speed; Chance constrained programming; Genetic algorithm; MATLAB; Monte Carlo simulation; Penetration; Power system; Reliability index; Reliability modeling; Wind farm; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348185
  • Filename
    5348185