Effective Optimization Method For Wind Farm Considering Comprehensive Coordination Of Yaw And Active Power Among Wind Turbines

Wind power industry is booming at incredible speed,many large wind farms have sprung up.However,due to the saturation of the wind resources and the limited investment of the wind farm,the distance between large-scale units of wind farms is very limited,which leads to the prominent problem that wake effect affects the power of turbine in the downstream.In this paper,the yaw angle and active power of different units are coordinated to improve the aerodynamic coupling and the sum of active power considering that the effect of wake effect on the power of large-scale wind farms is obvious and yaw control does not coordinate with pitch control and speed control in the current situation.To this end,this paper studies the following aspects:1.Firstly,the basic principle of active power control is studied.At first,we describe the basic idea of maximization of wind farm power,and then discuss the fan operation and the corresponding output control mode,and then focus on the effect of control strategy of single wind turbine on the wake effect for providing a theoretical basis for coordination control between units and.2.Having studied the centralized coordination method of yaw and active power between wind farms to improve the sum of power of each unit.Then,turbines are grouped based on the wake propagation path,which reduces problem scale.We focus on the solution of power optimization combining the online simulation with machine learning,and the optimization results are set to be control parameters for units to comprehensively coordinate the yaw angle and active power between units for improving the aerodynamic coupling among all power units and the sum of power.The proposed centralized optimization scheme requires less computation cost,does not need to increase computing resources of the wind farm control system and has no special requirement for communication environment.In addition,numerical simulations show that the proposed scheme effectively increases the total active power and improve economic benefits in a wind farm.3.Having researched the distributed coordination method of yaw and active power between wind farms,which can improve the active power output of wind farm.We focus on the study of multi-agent technology and construct a wind farm multi-agent control framework based on multi-agent technology whose state machines are designed differently.The proposed distributed optimization scheme could execute in existing computing devices and communication system of wind farm.The results of simulation have illustrated that the proposed distributed optimization strategy is availability way to comprehensive optimize yaw angle and active power.