Investigation of MPC performance for wind turbine system during wind speed uncertainty

Real-time implementation for wind turbines (WTs) needs a controller that could explicitly formulate the system constraints and uncertainty in the design process to avoid undesired behavior or breakdown. Model-Predictive-Control (MPC) approach will be used in this research due to its ability to cover actuator and state constraints as well as multivariable control in a more convenient way. To investigate the impact of ad-hoc constraints and wind speed uncertainties, the MPC controller will first be developed. This paper will observe the effect on wind turbines (WT) during uncertainty happen. Multiple uncertainties are simulated to investigate the behavior of the wind turbine system. The simulation results using MATLAB Simulink output are expected to indicate that the MPC controller can ensure the system stability to meet the desired output while satisfying all of the constraints. During the presence of uncertainty, it shows that the MPC controller takes time to stabilize the system.