基于改进花授粉算法的光伏MPPT控制研究

Research on PV MPPT control based on improved flower pollination algorithm

针对传统光伏最大功率点跟踪(MPPT)算法在解决局部遮荫环境下系统跟踪灵活性和时效性差,以及稳态输出振幅过大等问题,提出了基于改进花授粉算法(IFPA)的光伏最大功率跟踪控制策略。在对光伏阵列输出特性曲线进行分析的基础上,通过引入t-分布扰动机制和变异策略,分别对经典FPA算法的异花全局授粉过程与自花局部授粉过程进行优化,构建了基于IFPA的光伏最大功率点跟踪模型。以{3*2}的光伏阵列为例进行仿真实验,结果表明所研究模型在动态遮荫下的最大功率点跟踪速度较改进前大幅提高,系统在稳态时的震荡明显减小。

A PV maximum power tracking control strategy based on the improved flower pollination algorithm(IFPA)was proposed to address the problems of poor tracking flexibility,poor timeliness and excessive steady-state output oscillation in the traditional PV maximum power point tracking(MPPT)algorithm under partial shading environment.Based on the analysis of the PV array output characteristic curves,an IFPA-based PV maximum power point tracking model was constructed by introducing a t-distribution perturbation mechanism and a variational strategy to optimize the heterogeneous global pollination process and the self-pollination localization process of the classical FPA algorithm,respectively.The results show that the maximum power point tracking speed of the studied model under dynamic shading is significantly improved compared with that before improvement,and the oscillation of the system at stabilization is significantly reduced.