Research On Control Strategy Of Maximum Power Point Tracking In Wind Power Generation System

With the development of the global economic, the human desire for energy is growing rapidly, traditional fossil fuels are facing with the depleted situation, at this time, wind and other renewable energy sources grow rapidly, and it will satisfy human needs.Currently researchers have developed a lot of wind power maximum power control algorithms, the common commercial blower algorithms include optimal tip speed ratio (TSR) method, optimal power curve and hill climbing algorithm. Because hill climbing algorithm do not need to measure wind speed and wind turbine power characteristics. Hill climbing algorithm is a local optimization algorithm can be adaptive to find the wind speed maximum power point (MPP). If we want to use this algorithm to solve two major problems, those are the step of the disturbance and the climbing direction. Based on the traditional algorithm and the wind power around the maximum power point tracking control theory, we propose a tracking control strategy (MPPT, Maximum Power Point Tracking) for the new maximum power point of a permanent magnet direct-drive wind turbine control algorithm. The new hill climbing algorithm combines the optimum power curve and slope characteristic kopt to optimize the selection of climbing step in considering changes in air density conditions, and the wind turbine operating point to the optimum power curve horizontal axis vector length is designed to change the climb step and search direction.The main job of this paper consists of four stages, the first stage introduces the wind machine type and shows the advantages and disadvantages of the traditional method of tip speed ratio and PSF. We make a detailed description of the control principle of these algorithms, these offer improvements for the next step. The second stage, according to optimum power curve analysis, we calculate and update the value of kopt which is the slope of the optimum power curve. The third stage, we update the hill climbing step, the search direction and the step length adjustment factor which is closely related with the slope factor online. The fourth stage, we design a robust adaptive control strategy controller. The new climbing search algorithm (MPPT) does not need wind speed or detailed computational complexity turbine power characteristics, MATLAB simulation results show the effectiveness of the new algorithm.