  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.
