For existing wind farms

one goal of the wind farm optimization control is to reduce the wake effects and improve the overall power output. The coupling relationship between the variation of state parameters

power output and the wake distribution of wind turbines are analyzed. The calculation method of the intersection area between the wake and the wind rotor is presented. And a wake superposition model among multiple turbines is developed. A wake distribution calculation method is proposed for calculating the wind speed at each turbine location

which can be used to calculate the wind speed distribution of wind farms accurately and efficiently under varying wind speed and direction. Based on the wake distribution calculation model

the power output of overall wind farm is maximized with the axial induction factor of individual wind turbine as the adjustable parameter. The particle swarm optimization(PSO)algorithm is chosen as the optimization searching algorithm

and the wind farm optimal control model is developed. Wind farm Horns Rev in Denmark is selected as example

and the calculation results show that the wind farm wake distribution calculation method is able to accurately calculate the wake distribution

and the wind farm optimization control method will improve the overall power output.