分段变步长MPPT算法在风力发电系统中的应用

针对传统定步长爬山搜索(HCS)法在风力发电系统最大功率跟踪(MPPT)控制过程中的快速性和准确性矛盾,提出了一种基于爬山搜索法和模糊控制的分段变步长MPPT算法.该算法根据发电机P-ω特性曲线对最大功率点(MPP)跟踪过程进行分段,使系统能够根据工作点所在的区域选择合适的跟踪算法和步长完成最大功率跟踪.在Matlab/Simulink中分别对提出的模糊分段变步长算法和传统爬山搜索法进行了仿真.仿真结果表明:所提算法明显地改善了系统跟踪MPP的速度和稳态精度,在MPPT方面明显优于传统的爬山搜索法.

Application of variable step size MPPT algorithm in wind power generation system

To avoid the contradiction between the rapidity and the accuracy of the traditional fixed step size hill-climbing search(HCS) method in the maximum power point tracking(MPPT)control of wind power generation system,a variable step size MPPT control algorithm based on the hill-climbing method and the fuzzy control method is proposed.In this algorithm,the maximum power point(MPP) tracking process is segmented according to the P-ω characteristic curve of generator and the system can select the appropriate tracking algorithm and the step size to achieve MPPT,when the system operates in different regions.The proposed algorithm and the traditional hill-climbing method are simulated respectively by Matlab/Simulink software.The simulation results verify the proposed algorithm can significantly improve the tracking speed and steady-state precision.Therefore,this method is better than the traditional MPPT search method.