Research On Yaw Error Generation Mechanism And Adjustment Strategy Of Wind Turbine

Wind power technology changes with each passing day,and the wind power equipment industry is developing vigorously.Wind turbines show the development trend of intelligence and large capacity,and the operation is more stable and safe.The yaw control algorithm is constantly optimized and improved,and the yaw system’s accuracy and flexibility to wind are significantly improved.However,in the early development and construction of wind farms,the units have entered the second half of their life cycle.Due to the limitation of wind power equipment manufacturing level and yaw control technology at that time,the traditional yaw control technology based on wind vane is generally adopted,and the shortcomings and deficiencies are becoming increasingly apparent.Aiming at the problems of the traditional yaw system,such as large wind error,poor flexibility,lag in yaw response and many times of ineffective yaw,this paper proposes corresponding adjustment strategies to optimize and improve the performance of the yaw system to the maximum extent.The analysis and research contents are as follows:Firstly,the composition of yaw system is introduced,the physical meaning of yaw error and the concepts of yaw error,yaw static error and yaw control strategy error are clarified.Secondly,the mechanism of yaw static error and its adjustment strategy are analyzed.In this paper,a yaw static error adjustment strategy based on the combination of lidar and the correction of the optimal tip speed ratio wind direction compensation factor is proposed.Through the measured and comparative tests,it is concluded that the adjustment strategy adopted can effectively reduce the yaw static error and reduce the influence of the yaw static error on the output power of wind turbine.Finally,the mechanism and adjustment strategy of yaw dynamic error are analyzed.The yaw system of the wind turbine in the target wind farm has some problems,such as low accuracy of wind,unable to respond correctly and timely when the wind direction changes,and many times of ineffective yaw.Aiming at the above problems,this paper comprehensively considers the characteristics of wind direction prediction,analyzes many improved algorithms,and proposes a yaw dynamic error adjustment strategy combining the wind direction prediction model based on the improved BP neural network LM algorithm and the yaw restart wind optimization model.Matlab simulation shows that the optimization strategy can significantly improve the performance of yaw system.Not only can the yaw process time be reduced to some extent,but also the number of invalid yaw can be effectively reduced and the service life of the mechanical parts of the yaw system can be improved without reducing the wind accuracy and output power.