This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based on an open-loop optimal set-point scheduler combined with a feedback corrector, which actively regulate power by both wake steering and induction control. The methodology is compared with a state-of-the-art PI-based controller by means of high-fidelity LES simulations. The new wind farm controller reduces the occurrence of local saturation events, thereby improving the overall tracking accuracy, and limits fatigue loading in conditions of relatively high-power demand.

翻译：本文提出一种新型有功控制算法，旨在最大化风电场内各单台风力发电机的功率储备，以提升功率参考信号的跟踪精度。该控制架构基于开环最优设定点调度器与反馈校正器相结合的方式，通过尾流转向与感应控制主动调节功率。通过高保真大涡模拟仿真，将该方法与现有基于比例-积分（PI）控制器的最新技术进行了对比。新型风电场控制器减少了局部饱和事件的发生，从而提升了整体跟踪精度，并在相对高功率需求条件下限制了疲劳载荷。