Nonlinear model predictive controller of a variable speed wind turbine driven doubly fed induction generator

Abstract EN

In order to make a wind power generation truly cost-effective and reliable, an advanced control techniques must be used.

In this paper, we develop a new control strategy, using nonlinear model predictive control (NMPC) approach, for DFIG-based wind turbine.

The DFIG is fed through the rotor windings by a back-to-back converter controlled by Pulse Width Modulation (PWM), where the stator winding is directly connected to the grid.

The proposed control law is based on two points: NMPC-based torque-current control loop generating the rotor reference voltage and NMPC-based speed control loop that provides the torque reference.

Finally, a realtime simulation is carried out to illustrate the performance of the proposed controller.