Model Predictive Control for maximum power capture of variable speed wind turbines

Control algorithms for variable speed wind turbines are now more and more interested by engineers and scientists. The dynamic fluctuations of wind require fast dynamic response of controller in order to capture as much power as possible from power available. This makes control system more challenge. In this paper, we present Model Predictive Controller (MPC) for wind turbine system for maximum power capture of wind power below rated wind speed. Maximum power is obtained by regulating shaft speed to track the optimal regimes closely. Wind profile has been known as scholastic and highly turbulent. Tracking problem for fluctuating reference is not always easy for control design. The Matlab/Simulink program shows that the MPC controller gives better performance in comparison with recently developed two loop separation frequency (2LPSF) based on linear quadratic Gaussian control (LQG).