This project belongs to the field of wind power engineering technology research. Micro-site selection of wind farms refers to the location of wind turbines, which will directly affect the investment cost of wind farm construction, wind farm efficiency, actual annual power generation, etc. Existing micro-location technology for wind farms is based on two-dimensional blade element theory and rigid wake model to determine the location of wind turbines. This method ignores the influence of factors such as dynamic stall of wind turbine blades, tower shadow effect, blade structural parameters, and changes in wind resources on the wake flow of the wind turbine, and cannot accurately describe the wake structure of the upstream blade and its interaction with the downstream wind turbine blade., resulting in the actual operation of the power generation far below the design power generation in the planning stage. Measured data shows that the wind turbine's power generation loss caused by the wake is more than 10%, which affects the economic benefits of the wind farm and brings uncertainty to the operation of the power grid. This project carries out systematic research and engineering applications on the application of wind turbine wake flow in micro-site selection technology of wind farms, providing a theoretical basis and practical basis for the layout, site selection, planning and optimal operation of wind farms in my country. basis. The main technical innovation contents of the project are as follows: 1. The influence of dynamic stall on wind turbine wake flow in micro site selection technology of wind farms is proposed. Dynamic stall of wind turbine blades will occur in many cases. When the wind turbine is operating in a dynamic stall state, the lift coefficient characteristics of the blades will be significantly different from the wind tunnel experimental data. The calculated load value is only 50%-70% of the measured value. The original theoretical calculation method is not applicable to dynamic stall conditions. This project reveals the impact of dynamic stall on the wake flow of wind turbines and broadens the application scope of wind farm micro-site selection technology. 2. According to the influence of different tower types on the wake flow of wind turbines, a method to optimize the micro site selection of wind farms and wind turbines is proposed. After the airflow flows through different types of towers, the disturbance range and intensity of the wind turbine wake airflow and the wind turbine output power are greatly different. The project research found that improper consideration of the tower shadow effect when selecting the micro location of the wind farm wind fleet will reduce the total output power of the wind turbine by about 10%. 3. Based on the wake flow of horizontal axis wind turbines under different blade structure parameters, different wind conditions, and different working conditions, a wake calculation model that can be used for micro site selection of wind farms is established. The project uses the generalized vortex theory to derive the induced velocity of the wake through the relationship between circulation and induced velocity, establishes a closed circulation equation, and obtains a wake calculation model. Doppler wind lidar is used to monitor the wind farm wind turbine wake flow field in real time, and the wake flow calculation model is verified, revised and improved. 4. Introducing the influence of wind turbine wake flow into wind resource assessment technology improves the accuracy of micro site selection of wind farms. The wind turbine wake flow in large wind farms greatly affects the regional atmospheric flow field, which will directly affect the wind resource characteristics such as the incoming wind speed of the wind farm. The project regards wind farms as an increase in the roughness of the underlying surface of the atmosphere, and applies the impact of wind turbine wake flow to wind resource assessment technology for micro site selection of wind farms. This technology has been successfully applied in related projects such as the Electric Power Research Institute of State Grid Gansu Province Electric Power Company, Shanghai Chongming Beiyan Wind Power Generation Co., Ltd., and East China Electric Power Design Institute Co., Ltd. The application of this project technology can reduce the construction cost of the wind farm by about 4-5%, increase the overall output power of the wind farm by about 1%, create economic value of more than 78 million yuan in the past three years, reduce carbon dioxide emissions by 58.87 million tons, and significantly save energy and reduce emissions. The research results have been published in 53 relevant papers in domestic and foreign journals, 20 included by SCI and EI, and cited 408 times by him. 8 patents have been authorized. The scientific and technological novelty search evaluation is the leading level in China.