基于蚁群算法的局部阴影光伏最大功率跟踪算法

A Novel Maximum Power Point Tracking Scheme for PV Systems Under Partially Shaded Conditions Based on Ant Colony Algorithm

针对局部阴影情况下光伏输出曲线非线性和多峰值的特性,提出基于蚁群算法的光伏多峰值最大功率跟踪算法.通过对光伏输出曲线的结构及均匀分布特性的分析,构建蚁群极值寻优过程,对特定区间进行极值点搜索,最后求出最大功率点.仿真表明,该算法能够有效地跟踪全局最大功率点,避免其收敛于局部最优解,与传统全局扫描算法不同,其收敛速度及精度不受光伏曲线形状的影响.

Due to the nonlinear and multiple power-voltage characteristics of large photovoltaic （PV） arrays under partially shaded conditions,Ant colony optimization in the global power peak under partially shaded conditions is proposed.In this paper,Ant colony optimization process of the global maximum power point tracking is constructed through the structure and characteristics of PV output curve.The extreme power points are tracked by searching for specific area.At last,The maximum power point is acquired.The simulation results demonstrate that the new method could track global maximum power point effectively under complex irradiance conditions.Compared with tradition methods,the new algorithm is high accuracy in the case of larger sample and the convergence speed is not affected from the complex multiple peaks of PV characteristics.