Model Predictive Control for Disturbance Rejection in Wind Turbines

In wind turbine operations, a pitch angle controller is utilized to maintain the power limit and reduce the stress on the drive train. In general, a Proportional Integral Derivative (PID) controller is used to obtain the control law, which performs satisfactorily but does not provide the optimal control law. We can use a Model Predictive Control (MPC) to maximize the benefits of wind turbines. This paper proposes an MPC framework with quadratic cost functions with control input and state constraints considering the practical parameters. We compare the results for unconstrained and constrained optimal control law to represent our approach’s usefulness for the wind turbine operation in its third working region. We also demonstrate the effect of wind disturbances to obtain the optimal control law. Finally, we study the impact of integral MPC in disturbance rejection and compare its performance with the previous results.