• DocumentCode
    669673
  • Title

    Economic dispatch for wind farm using model predictive control method

  • Author

    Yonghao Gui ; Chunghun Kim ; Chung Choo Chung

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    1836
  • Lastpage
    1839
  • Abstract
    An economic dispatch (ED) problem of committed turbines is solved minimizing each wind turbine´s output power variation by model predictive control (MPC) method. The proposed method could solve the ED problem on-line using prediction time horizon that could be selected flexibly considering time horizon based on wind forecasting errors. Dispatched wind turbines are classified into three groups considering variations of forecasted power generation: maximum power point tracking, balance control, and delta control. From the simulation study using 10 wind turbines we observed that the proposed method effectively provided the optimal solution to the scenario.
  • Keywords
    load forecasting; minimisation; power generation dispatch; predictive control; wind power plants; wind turbines; ED problem; balance control; committed turbines; delta control; dispatched wind turbine classification; economic dispatch problem; maximum power point tracking; model predictive control method; power generation forecasting; prediction time horizon; wind forecasting errors; wind turbine output power variation minimization; Gold; Indexes; Turbines; Wind farms; Economic dispatch; model predictive control; optimal; wind farm; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6704239
  • Filename
    6704239