High-Resolution Wind Profiles for Dynamic Wind Turbine Modeling Using Reanalysis Weather Models and Spectral Wind Models

The integration of renewable energy sources such as wind power into the electrical grid presents unique challenges due to their intermittent and stochastic nature. To address these challenges, this study presents a methodology for generating turbulent wind profiles with high temporal resolution by combining low-resolution reanalysis weather models with high-resolution spectral wind models. The generated profiles serve as inputs for dynamic generator models of wind turbines, enabling more accurate simulation of their operational behavior. The proposed methodology is demonstrated using the Copernicus European Regional Re-Analysis (CERRA) dataset combined with the National Renewable Energy Laboratory’s (NREL) TurbSim spectral wind model. The resulting turbulent wind profiles provide improved fidelity in capturing wind generation dynamics, leading to more realistic simulations. A case study comparing the impact of linearly interpolated and turbulent wind profiles on the wind turbine performance is presented, showcasing the potential of the methodology for grid stability and energy storage planning.