一种在高需求场景下提升跟踪裕度的新型风电场有功功率控制策略
A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios
AI总结：
本文提出一种结合开环最优调度与反馈校正的风电场有功功率控制策略，通过尾流转向和感应控制提升功率跟踪精度并减少饱和与疲劳载荷。
摘要：
本文提出了一种新的有功功率控制算法，旨在最大化风电场中各台机组的功率储备，以提高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，通过尾流转向和感应控制主动调节功率。该方法通过高保真大涡模拟（LES）与最先进的基于PI的控制器进行了比较。新型风电场控制器减少了局部饱和事件的发生，从而提高了整体跟踪精度，并在相对较高的功率需求条件下限制了疲劳载荷。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
