The recent proliferation of converter-based generators for the grid connection of renewable energy sources has introduced a number of security challenges, including frequency stability. Frequency regulation is achieved through active power generation, requiring power generators to regulate their power output in real time to match a time-varying power command curve specified by the transmission system operator. Control methodologies to enable the turbine power output regulation have been investigated in the wind energy literature for more than a decade.

In this paper, we investigate a classical control methodology known as exact output regulation that has been widely used for the twin problems of output regulation and disturbance rejection. We demonstrate how the method may be adapted to achieve output power regulation for a wind turbine. The method assumes that wind preview information from LIDAR measurements is available for the design of the torque and pitch control input signals. To evaluate the potential of the method to improve wind turbine capability for the provision of frequency regulation services, we compare its performance with that of two baseline controllers, one pitch-based and one torque-based, for the tracking of a specified time-varying power command signal. Our simulations show that the proposed methodology can substantially improve the output power regulation, reduce fatigue loads and also reduce actuator usage, relative to the baseline controllers.

最近用于可再生能源并网的基于转换器的发电机的激增带来了许多安全挑战，包括频率稳定性。频率调节是通过有功发电实现的，要求发电机实时调节其功率输出，以匹配输电系统运营商指定的时变功率指令曲线。十多年来，风能文献中一直在研究实现涡轮机功率输出调节的控制方法。

在本文中，我们研究了一种称为精确输出调节的经典控制方法，该方法已广泛用于解决输出调节和干扰抑制的双重问题。我们演示了该方法如何适用于实现风力涡轮机的输出功率调节。该方法假设来自 LIDAR 测量的风预览信息可用于设计扭矩和桨距控制输入信号。为了评估该方法在提高风力涡轮机提供频率调节服务能力方面的潜力，我们将其性能与两个基线控制器（一个基于桨距和一个基于扭矩）的性能进行比较，以跟踪指定的时变电源指令信号。我们的模拟表明，所提出的方法可以显着改善输出功率调节，