Wind Farm Layout Optimization based on Kriging Model and Bastankhah Wake Model

Different from operating in isolation, wind turbines are installed closely to each other in the existing large commercial wind farms, which makes the complex turbine-wake interaction inevitable, as a result of it, power output of the wind farm is greatly reduced and fatigue loads acting on wind turbine is obviously increased. Hence, it is necessary and important to perform optimization calculation for large wind plant in order to improve efficiency of the wind plant. In the present work, two wind turbines in the tandem and offset layouts are examined at first, emphasis is placed on the wake velocity field and the mean aerodynamic loads, it can be observed that the results predicted by Bastankhah wake model consists well with the CFD method by using the actuator line model. Then, simulations on a large wind farm are carried out, engineering requirements of the actual layout of the wind plant are taken into account. To save the computational resource, the Kriging model is applied to establish the surrogate relationship between the position of wind turbine and the power production, and on the basic of it, genetic algorithm is adopted to calculate the optimal solution. The results reveal that through optimizing the layout of the wind plant, velocity deficit behind wind turbine is greatly reduced as well as the total power generation is significantly increased. To save the computational resource, the Kriging model is applied to establish the surrogate relationship between the position of wind turbine and the power production, and on the basic of it, genetic algorithm is adopted to calculate the optimal solution. The results reveal that through optimizing the layout of the wind plant, velocity deficit behind wind turbine is greatly reduced as well as the total power generation is significantly increased.