Abstract: Aiming at the serious impact of wake effects between wind turbines on the power generation efficiency of wind turbines, a calculation method for safe yaw constraints of wind turbines, a mixed semi mechanism modeling method for wake characteristics, and a multi-objective collaborative optimization scheduling method for wind turbine groups were proposed. Based on the FAST.FARM platform, the dynamic interaction and integration simulation environment between multi degree of freedom controllable units and wake was improved, and compared and analyzed the collaborative operation optimization performance of two units arranged in tandem and seven units arranged in an offshore wind farm in East China. Results show that the established integrated simulation model can reasonably characterize the multi domain dynamic interaction characteristics between wind turbine groups and air flow fields. The proposed method can effectively improve the power generation efficiency of wind turbine groups and promote balanced optimization of economic benefits, resource utilization and cost control.