Design of a controller for DFIG-based wind power generation using model predictive control

In this paper, design of a controller for wind power generation has been conducted. The wind power station is assumed to be a type of doubly-fed induction generator (DFIG). Model predictive control (MPC) has been employed to maximize energy output and to limit the system frequency negative impact. Under fluctuation of wind speed, test results show that power output produced from wind station using MPC is less fluctuating than power generated from wind station using the conventional maximum power tracking. However, the wind power generation using MPC generates sixteen percent less amount of energy than that using the conventional control method.