作　　者： (范钦民）; (闫飞）; (张翠芳）; (陈科）; (邹应全）;

机构地区： 西南交通大学信息科学与技术学院,成都610031

出　　处： 《太阳能学报》 2017年第8期2151-2158,共8页

摘　　要： 基于模糊控制算法提出一种改进的最大功率点跟踪(MPPT)算法。观察光伏(PV)组件的功率-电压(P-V)特征曲线,在同一温度下,不同光照情况下的最大功率点近似在一条曲线上。通过对不同环境条件下的最大功率点进行拟合,由光伏组件的输出功率和环境温度可以得到一个用于模糊控制器输入的电压值。由于拟合曲线不一定精确,单独使用模糊控制追踪最大功率点存在误差。针对上述问题,在使用模糊控制使光伏组件的输出功率稳定在最大功率点附近后,再使用电导增量法(INC)追踪并稳定在最大功率点。通过Matlab仿真和硬件实验,验证改进算法的可行性。 An improved maximum power point tracking （MPPT） algorithm was proposed based on the fuzzy control algorithm. By observing the power-vohage （P-V） characteristic curve of the solar PV module, it could be found that the maximum power points would approximate in a curve at the same temperature and different illumination. By fitting the maximum power point under different environmental conditions, the output power and the environment temperature of the PV module could be used to obtain a voltage value for the input of the fuzzy controller. Since the fitting curve may not be accurate, there was an error in using the fuzzy control to track the maximum power point alone. Aiming at the above problems, after the output power of PV module was stabilized nearby the maximum power point by using fuzzy control, the incremental conductance method was used to track and stabilize the maximum power point. The feasibility of the improved algorithm was verified by Matlab simulation and hardware experiment.

关 键 词： 模糊控制 曲线拟合