Intelligent Correction Method for Wind Turbine Yaw Behavior Based on Data-Driven Approach

With the extensive development of wind energy resources, the efficiency and reliability of wind turbine systems have become hot topics of research. In actual operation, wind turbines are affected by changes in wind speed and direction, and the performance of the yaw system directly affects the power generation efficiency. This paper first analyzes the impact of yaw caused by changes in wind speed and direction on the power generation of wind turbines under conventional mode, and then proposes an intelligent correction method for wind turbine yaw behavior based on data-driven approach. This method uses a fuzzy control algorithm, and the effectiveness of the method is verified by comparing the changes in power generation before and after the correction.