Title :
Optimum seeking-based non-linear controller to maximise energy capture in a variable speed wind turbine
Author :
Iyasere, E. ; Salah, Mohamed ; Dawson, Daniel ; Wagner, Jens ; Tatlicioglu, Enver
Author_Institution :
Coll. of Eng. & Sci., Clemson Univ., Clemson, SC, USA
Abstract :
In this study, an optimum seeking-based robust non-linear controller is proposed to maximise wind energy captured by variable speed wind turbines at low-to-medium wind speeds. The proposed strategy simultaneously controls the blade pitch angle and tip-speed ratio, through the turbine rotor angular speed, to an optimal point at which the power coefficient, and hence the wind turbine efficiency, is maximum. The optimal points are given to the controller by an optimisation algorithm that seeks the unknown optimal blade pitch angle and rotor speed. The control method allows for aerodynamic rotor power maximisation without exact knowledge of the wind turbine model. A representative numerical simulation is presented to show that the wind turbine can be accurately controlled to achieve maximum energy capture.
Keywords :
aerodynamics; angular velocity control; blades; nonlinear control systems; numerical analysis; optimisation; power generation control; robust control; rotors; wind power; wind turbines; aerodynamic rotor power maximisation; blade pitch angle control; low-to-medium wind speed; numerical simulation; optimisation algorithm; optimum seeking based robust nonlinear controller; power coefficient; tip-speed ratio; turbine rotor angular speed; variable speed wind turbine; wind energy capture maximisation; wind turbine efficiency;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2010.0689