**4. Conclusions**

In this study, a dynamic wind turbine model was constructed for an actual 2 MW wind turbine, and the wind turbine performance was predicted and validated experimentally. The dynamic model was constructed using Matlab/Simulink to consider the wind turbine dynamics, including yaw systems and a wind turbine controller using basic torque and pitch control algorithms with peak shaving in the transition from maximum power point tracking to the rated power regions. In addition, to consider the density effect of the test site, the torque scheduling and the peak shaving were tuned to reproduce the power curve with the actual mean air density.

For experimental validation, the AEP predicted by the dynamic model was compared with that by WindSim and the measured power. As the result, the relative error of WindSim was 2.75%, and those of the dynamic model without and with yaw were 2.11% and 0.16%, respectively. Although the results are only for a single wind turbine case, the prediction of AEP from the dynamic model was found to be accurate. However, further research is needed for different wind turbines and sites to better understand the performance of the dynamic simulation model.

**Author Contributions:** Y.S. performed the simulation of the wind turbine, analyzed the results, and wrote the paper. I.P. supervised the research, analyzed the results, and revised the paper. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work was supported by the Human Resources Program in Energy Technology and the New and Renewable Energy-Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) with a granted financial resource from the Ministry of Trade, Industry and Energy, Republic of Korea (Grants No. 20173010025010 and 20204030200010).

**Acknowledgments:** The authors would like to acknowledge the support from Han Jin Ind. Co. Ltd. for the wind turbine model construction. The authors would also like to acknowledge the support from Jeju Energy Corp. for the climatology data of the site.

**Conflicts of Interest:** The authors declare no conflict of interest.
