Design And Research On Intelligence Yaw System For Wind Power

Wind energy is a kind of renewable energy. Compared with other renewable clean energy, development on wind power is rapid, the technology on wind power is relatively mature, has the characteristics of wide range on commercial and economical. In order to improve the utilization rate of wind energy, increase the life of wind turbines, reduce cost, wind power generation technology were studied by a lot of research units, but the yaw control failed to get effective development. Yaw controller has a certain hysteretic nature, when the wind direction and wind speed changes frequently, fan can’t accurately to the wind, thus affecting wind energy utilization. At the same time, the yaw mechanism frequent movement, which reduces it’s the service life. These problems brought influence to the wind power generation system. Researching on these problems has profound significance.Based on the analysis of the principle and structure for yaw system, use permanent magnet synchronous motor as the yaw, and based on the structure and mathematical model of permanent magnet synchronous motor, complete three closed-loop vector control for the yaw system. At first, this paper uses the recursive least squares method for permanent magnet synchronous motor off-line identification, the method of computing parameters of the controller is given after identification parameter setting. In this paper, PI regulator design of current loop, speed loop and position loop for three closed-loop vector control strategy adopts the method of engineering design, this paper made a detailed discussion on the computing process of PI parameters, and use the loop step response waveform to analysis control part of system. This paper takes four kinds of improved grey prediction method to the short-term forecast for wind speed and wind power, including with grey prediction method residual error correction, grey prediction method based on the Alpha adaptive GM (1,1) prediction model, the improved grey prediction method and average grey prediction method. After finished the part of theory analysis and introduction, this paper made simple introduction for the design scheme of experimental platform, the hardware and software design.Experimental study of the yaw control system is based on TMS320F28335, mainly including three closed-loop vector control of yaw motor (permanent magnet synchronous motor) and implementation of wind speed, wind power prediction algorithm, under the environment of Matlab/Simulink, simulation is carried out, and completed the core algorithm software development of control system on the CCS. Finally experiment of the yaw location tracking, yaw unmoor and yaw90°lee is completed on experimental platform. The simulation results show that short-term forecast effect of wind speed is best using the average gray prediction method for the same set of data. The experimental results show that this control method can make fan fast and exact to the wind direction, and improve the utilization rate of wind power. The system structure is simple, has good feasibility in many applications.