Abstract:

The interaction of internal wakes in wind farms affects the inflow wind speed of downstream wind turbines.To reduce the impact of wake effects on the power generation of floating wind farms, a yaw optimization control strategy of floating wind farms considering wake effects is proposed.A Gaussian curl mixed wake model is established for the specificities of the wake recovery speed changes and the impact on the wake of downstream units under yaw conditions.Considering the influence of yaw conditions on the blade displacement,the blade root load, and platform motion, a range of unit yaw angles is set as a constraint condition.Using the least squares SLSQP optimization algorithm, the optimal yaw angle and power generation of each unit in the wind farm are obtained with the maximum overall power generation as the objective function and the yaw angle as the optimization variable.The simulation results show that the proposed control strategy can effectively improve the overall power generation of the wind farm.

Key words: floating wind farm, wake effect, Gaussian curl mixed wake model, yaw optimization control, power generation