Optimization Analysis of MPPT Based on Improved Carnivorous Plant Algorithm
In order to solve the problem that local shading can easily trap the results into local optima and reduce the efficiency of photovoltaic arrays during solving,a maximum power tracking method based on an improved carnivorous plant algorithm and perturbation observation method was proposed.Through case verification of the algorithm,the results show that the improved carnivorous plant algorithm has a faster solving speed than traditional carnivorous plant algorithm,and performs better than traditional plant algorithms in static,dynamic,and local shading.It can improve the occurrence of local shading,thus providing an effective solution for the maximum power tracking problem of photovoltaic arrays,and therefore has practical application potential.
carnivorous plant algorithmperturbation observation methodphotovoltaic power generationlevy flightmaximum power tracking
万方数据
维普
