Field-Level Wake Integrated Control for Offshore Wind Farms Based on Environmental Wind Conditions

In the process of cluster development and construction of offshore wind farms, due to the small turbulence and sea surface roughness of the offshore wind farm environment, the mutual influence of wake currents within the wind farm is significant. The wake current of the front row wind turbine will cause a decrease in the power generation and an increase in the load of the rear row wind turbines. According to actual data statistics, the wake loss of large wind farm clusters is over 20%. In response to the problem of wake impact in closely arranged offshore wind farms, develops a field-level wake control algorithm and designs an on-site execution strategy considering the communication and coordination between the field-level controller and the wind farm main control system. By optimizing the yaw misalignment angle of the front row wind turbines, the interference of the front row turbines’ wake on the rear row turbines is effectively reduced. By the full process simulation, the time-domain simulation of the yaw action of the wind turbine and the calculation of power generation were achieved, and the calculation of power generation improvement in different wind direction sectors and different months was realized. It was verified that the wake collaborative control technology can achieve a power generation improvement of about almost 1% for a large wind farm.