局部阴影条件下光伏阵列MPPT模糊控制最优算法

针对局部阴影条件下，光伏阵列功率-电压（P-V）特性曲线呈现多个峰值，导致最大功率跟踪（MPPT）算法易陷入局部最优解问题，本文提出了基于负载电压反馈与模糊控制相结合的MPPT算法.通过负载电压闭环控制算法使系统输出功率快速稳定到最大功率点附近，再利用模糊控制算法跟踪到最大功率点.负载电压反馈算法解决了多峰场景下的局部最优解问题，模糊控制算法提高了算法收敛速度.同时，本文算法避免了粒子群算法在粒子切换过程中开关器件上过冲电压过大问题.Matlab仿真和硬件实验验证了本文算法的可行性和实用性.

Optimalfuzzy control for MPPT of photovoltaic array under partial shadow conditions

Under the condition of partial shadow,the power-voltage (P-V) characteristic curve of photovoltaic array presents multiple peaks.In the multi-peak case,the conventional maximum power point tracking (MPPT) algorithm is prone to fall into local optimal solution,which affects the solar energy conversion efficiency.This paper presents an MPPT algorithm based on fuzzy control with load voltage scan.At first,the voltage scanning method is used to quickly reach the maximum power point,and then the fuzzy control algorithm is used to stabilize the maximum power point.The algorithm improves the convergence speed of MPPT under multi-peak condition,which can solve the problem of voltage spike produced on the switch tube during the particle switching.The feasibility and practicability of the algorithm are verified by Matlab simulation and hardware experiments.