Nowadays, wind turbines can contribute to the frequency control of the power network. This article demonstrates that the second derivative of the power system frequency contains useful information for controlling the network frequency. Therefore in this paper, the use of the proportional, derivative, and second‐order derivative terms (PDD2) controller for frequency control of the power network is proposed. A parabolic sliding‐mode filter is also used to remove measured frequency noise. Adjusting the PDD2 gains significantly influences the performance of power system frequency control, but due to the dynamic properties of the power system and the wind speed, it is very difficult to adjust the PDD2 coefficients in the frequency controller which performs best in controlling the network frequency. In this article, a new algorithm for adaptive tuning of PDD2 gains in doubly fed induction generator (DFIG) is presented. Data‐driven approach updates PDD2 gains only based on the input and output data of the network frequency controller in DFIG. In the proposed adaptive frequency control method, the power system frequency of the next step is approximated via the K‐vector nearest neighborhood (K‐VNN). Then the PDD2 coefficients were updated using the descending gradient method. Simulation results indicate the good performance of the adaptive PDD2 controller in wind turbine for supporting grid frequency. According to the simulations, the proposed control method will improve the FN (frequency nadir) by minimum 18% compared to the traditional network frequency control methods. In some cases, the implementation of the proposed control method will improve FN up to of 80%.

中文翻译：

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基于二阶导数控制器的DFIG数据驱动方法的自适应频率控制支持

如今，风力涡轮机可为电网的频率控制做出贡献。本文演示了电力系统频率的二阶导数包含用于控制网络频率的有用信息。因此，在本文中，提出了使用比例，微分和二阶微分项（PDD2）控制器进行电网频率控制的建议。抛物线滑模滤波器也用于消除测得的频率噪声。调整PDD2增益会显着影响电力系统频率控制的性能，但是由于电力系统的动态特性和风速，很难在频率控制器中调整PDD2系数，该系数在控制网络频率方面表现最佳。在这篇文章中，提出了一种用于双馈感应发电机（DFIG）中PDD2增益自适应调整的新算法。数据驱动方法仅基于DFIG中网络频率控制器的输入和输出数据来更新PDD2增益。在提出的自适应频率控制方法中，下一步的电力系统频率通过K向量最近邻（K-VNN）进行近似。然后，使用降梯度法更新PDD2系数。仿真结果表明，风力发电机中自适应PDD2控制器在支持电网频率方面表现良好。根据仿真，与传统的网络频率控制方法相比，所提出的控制方法将FN（频率最低点）提高了至少18％。在某些情况下，