Analytical model calibration and axial induction power optimization for three wind turbines in a row

The most common techniques used by the wind energy sector to forecast the power output of wind farms are analytical wake models and wake superposition models. However, a sufficiently accurate model for the axial-induction-based control for three wind turbines in a row spaced of seven rotor diameters apart can not be developed based on the literature. Therefore, the investigation and calibration of the farm’s wake model take up a significant portion of the work. The focus of the second part of this document is on the axial-induction-based wind plant control methods using our pre-calibrated farm model. This power optimization method allows wind turbines degrees of freedom to be changed by adjusting their rotor speed or blade pitch. However, most of the time, wind turbines are operated to their maximum potential without considering the impacts of the wake on nearby wind turbines. Through the coordination of the turbines’ operations, wind plant control seeks to improve the overall performance of the wind farm.