• DocumentCode
    189129
  • Title

    Model based power optimisation of wind farms

  • Author

    Heer, Flavio ; Esfahani, Peyman Mohajerin ; Kamgarpour, Maryam ; Lygeros, John

  • Author_Institution
    Autom. Control Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1145
  • Lastpage
    1150
  • Abstract
    We present a framework for maximising the power output of a wind farm considering wake effects. A parameter representing the total power coefficient of a wind farm is introduced, which quantifies the wind speed deficit due to wake. For any given wake model, this parameter is a function of the blade pitch angle and the tip speed ratio of the individual turbines, and is independent of the wind speed. Thus, the variables associated with each turbine can be optimised offline, given the wind farm layout, in order to determine reference set points that maximise power production. An MPC controller is designed for individual turbines to track the optimal reference set points. The performance is illustrated with the turbine simulator FAST and the wind farm simulator Aeolus SimWindFarm.
  • Keywords
    control system synthesis; optimisation; power generation control; predictive control; wakes; wind power plants; wind turbines; Aeolus SimWindFarm wind farm simulator; FAST turbine simulator; MPC controller design; blade pitch angle; model based power optimisation; optimal reference set points; power production maximization; tip speed ratio; total power coefficient; wake effects; wake model; wind farm layout; wind speed; wind turbines; Generators; Optimization; Rotors; Torque; Wind farms; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862365
  • Filename
    6862365