Wind Tunnel Dataset of Wind Farm Power Boosting and Active Power Control under Unsteady Wind Direction (Three-Turbine Farm)

This repository provides an open experimental dataset obtained from a wind tunnel campaign focused on wind farm control under unsteady inflow conditions. The campaign includes approximately 260 controlled experiments conducted on a three-turbine scaled wind farm while the wind direction varies continuously over time. Control strategies investigated Wake steering (yaw-based power boosting) Active Power Control (APC) The dataset enables research on wind farm control in more realistic, time-varying inflow conditions compared to steady wind direction experiments. Measurements included Each NetCDF file contains: Wind tunnel reference signals (velocity, direction, density) Turbine operational and control signals Power production High-frequency turbine structural loads Filtered loads for fatigue and control analysis Applications This dataset is intended for: Dynamic wind farm control research Active power control studies Wake steering under unsteady inflow Load and fatigue analysis Reduced-order modelling and system identification Validation of high-fidelity simulations (LES / engineering models)