Optimization control model for wind farms considering the spatiotemporal dynamics of gusts

Boosting power output and reducing fatigue loads on wind turbines are high priorities in wind farm operations. The current research on active yaw control to increase overall power generation and variable pitch control to reduce turbine load is mostly based on the assumption of quasi-static uniform inflow. However, due to the influence of mesoscale non static wind conditions such as gusts, the flow field of offshore wind farms exhibits significant spatiotemporal non-uniformity. Traditional control strategies are difficult to adapt to this flow field environment. Therefore, a multi-objective joint control model for wind farms based on the spatiotemporal propagation characteristics of gusts is proposed in this article, achieving joint optimization control of power generation and load. Firstly, based on gust identification and dynamic quantification model of turbine fatigue load, the periodic control law of turbine pitch angle under gust disturbance is revealed. And an independent pitch control strategy is then proposed to reduce load and increase torque under non-uniform gust inflow. Subsequently, a time-series power control model was established. Finally, a comprehensive control method combining advanced yaw and independent pitch optimization was proposed. The results based on the Real-Time Laboratory (RT-LAB) simulation platform show that the proposed control strategy can increase the power generation of the wind farm by 1.10 %–11.58 % during gusts, while reducing the fatigue load by up to 19.32 %, and shear stress amplitude of the impeller by up to 14.69 %.