• DocumentCode
    583372
  • Title

    Novel unit commitment approach for wind farm

  • Author

    Gui, Yonghao ; Kim, Chung Hun ; Lee, Young Ok ; Chung, Chung Choo

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    1791
  • Lastpage
    1795
  • Abstract
    Due to increasing of the wind power penetration in power systems, centralized control for a wind farm is needed to connect to the grid. This paper describes an optimal unit commitment problem, which is a part of wind farm centralized control that schedules the wind turbines of wind farm to satisfy the demand power from transmission system operator. Four binary variables are introduced to formulate a new objective function which is to minimize the sum of expected production cost, the expected cost of unserved energy, start-up and shut-down cost of each turbine. Different scenarios are illustrated in the illustrative example, which is consisting of 10 wind turbines, by using the proposed method. Simulation results show that adjusting the coefficients in the objective function can schedule the commitment of wind turbines according to the transmission system operator.
  • Keywords
    centralised control; power generation control; power generation scheduling; power transmission; wind power plants; wind turbines; expected production cost sum minimization; optimal unit commitment problem; power systems; shut-down cost; start-up cost; transmission system operator; unit commitment approach; unserved energy expected cost; wind farm centralized control; wind power penetration; wind turbines; Cost function; Linear programming; Power systems; Production; Wind farms; Wind power generation; Wind turbines; linear programming; objective function; unit commitment; wind farm; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393135