论文标题
以控制为导向的风力涡轮机动态模拟框架，可以解决当地的大气条件
A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions
论文作者
论文摘要
风力涡轮机可能会遇到当地的天气扰动，通常使用的风力涡轮机仿真套件未考虑。没有这些信息，评估控制器的性能就当地大气条件的变化的影响而言是极具挑战性的。另一方面，等待直到现场测试时间为时已晚和昂贵。为了填补这一空白，在本文中，我们开发了一个面向控制的涡轮动态模拟框架，以评估当地大气条件的扰动，以评估控制器性能。通过在天气研究和预测（WRF）仿真工具中集成内部风力涡轮机（IWT）模型来实现此目标。所提出的框架是在5MW参考风力涡轮机上实施的，其中说明了当地大气条件的影响。将控制器的性能与从疲劳，空气动力学，结构和湍流（快速）模拟器中得出的结果进行了比较。仿真结果表明，所提出的WRF-IWT模型能够捕获有关复杂局部大气条件的扰动的涡轮动力学和控制器性能。可以利用提出的框架来协助设计控制器，这更适用于现实世界风条件。
Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The controller performance results are compared with those derived from the Fatigue, Aerodynamics, Structures,and Turbulence (FAST) simulator as a validation. Simulation results show that the proposed WRF-IWT model is able to capture the turbine dynamics and controller performance regarding the perturbation of the complex local atmospheric conditions. The proposed framework can be leveraged to assist in designing controllers, which is more applicable to real-world wind conditions.
