• DocumentCode
    676651
  • Title

    Wind farm power optimum dispatching strategy for variable-speed wind turbine based on rotating energy storage

  • Author

    Xiao Yunqi ; Lv Yuegang ; He Guanju ; Liu Juncheng ; Wang Kunpeng

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    When wind farm accepts grid scheduling, target load needs to dispatch to each wind turbine to complete. In order to improve the power control capability of the wind farm in the case of random wind fluctuations, a wind farm power control strategy, based on wind wheel rotation energy storage of variable speed wind turbine, is proposed. Firstly, a wind turbine energy storage assessment model is established, and an energy storage state evaluation method, which considers the balance of wind turbine rotational energy and regulating ability, is proposed. Based on this, a mathematical model of wind farm energy storage optimum is pretended, and a solving strategy based on genetic algorithm is designed, too. Finally, the platform for the implementation of the proposed control strategy is introduced. The control strategy proposed in this paper can effectively enhance the ability of the wind turbines´ power control and reduce the impact of the uncertainty wind speed to the power response of the wind farm.
  • Keywords
    energy storage; genetic algorithms; power control; power generation dispatch; power generation scheduling; wind power plants; wind turbines; energy storage state evaluation method; genetic algorithm; grid scheduling; mathematical model; random wind fluctuation; rotating energy storage; variable speed wind turbine; wind farm energy storage optimum; wind farm power control strategy; wind farm power optimum dispatching strategy; wind turbine energy storage assessment model; wind wheel rotation energy storage; Genetic Algorithm; Power Dispatch Control; Rotating energy storage; Wind farm; Wind power generation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1864
  • Filename
    6718775