机器学习风速预测及新能源抽油机风功率控制

This paper takes the new energy pumping unit as the research object. In order to improve the ability of new energy pumping unit, first, the maximum wind energy tracking control strategy of the wind turbine is studied, and a wind speed estimation method-support vector regression is presented. Then, the key parameters in the estimation model are optimized by particle swarm optimization. Finally, a feedback linearized sliding mode controller is designed for speed feedback control. By comparing with PID controller, it is verified that the new controller has the characteristics of rapidity and anti-disturbance. Therefore, the maximum wind power tracking control strategy proposed in this paper meets the energy-saving requirements of new energy pumping units.