MPC-Based Droop Control Scheme for Fatigue Load Suppression in Wind Farms Based on Asynchronous Distributed Manner

In this article, we propose an asynchronous distributed model predictive control (MPC) based droop control (AD-MDC) scheme to suppress fatigue load in doubly fed induction generator-based wind farms (WFs). To improve the fatigue load suppression performance, a droop control method is adopted in conjunction with an MPC-based WF control scheme to coordinate the active power of wind turbines (WTs). Within the predictive horizon, the generator speed sensitivity is calculated to formulate the MPC-based optimization problem, thereby achieving global optimal regulation of active power while tracking the dispatch command. For more effective control of WTs, an asynchronous distributed alternating direction method of multipliers is developed to minimize the fluctuations of fatigue load, while improving the time efficiency and information privacy protection. A WF with 40 × 5 MW WTs is established as a testing system to verify the effectiveness of the proposed AD-MDC scheme.