针对不均匀光照条件下光伏阵列的MPPT跟踪控制问题，提出了基于粒子群的复合式MPPT控制算法。复合式PSO-MPPT控制算法包括离线寻优和在线寻优两个部分。离线寻优环节采用相邻粒子信息交换机制加强了在寻优过程中的收敛性以及对关键区域的搜索力度；在线寻优环节采用适应度模糊判断的方法解决了粒子群算法在线工作时扰动大、耗时长的问题。复合式PSO-MPPT控制算法将离线和在线的优化方法结合到一起，弥补了各自方法的不足。与传统的方法相比，所提出的方法具有更快的响应速度和更高寻优精度。最后通过Matlab仿真证明了所提出的算法可以实现在不均匀光照条件下的最大功率点跟踪。

Compound MPPT algorithm based on particle swarm optimization was proposed for solving the problem of maximum power point tracking under non-uniform insolation condition. Compound PSO-MPPT control algorithm contained off line optimization and on line optimization. During the process of off line optimization, information exchange mechanism between adjacent particles was used which can increase convergence speed and the search capability for critical areas. Fitness fuzzy judgment method was used to decrease the influence of disturbance and shorten the time-consuming which on line particle swarm optimization was considered. Compound PSO-MPPT control algorithm combined off line optimization and on line optimization together and it made up the shortfall of each method. The compound PSO-MPPT can acquire the faster response speed and higher accuracy of maximum power point than traditional MPPT algorithm. The proposed algorithm is testified by Matlab simulations and can realize the maximum power point tracking under non-uniform insolation condition.