基于改进黏菌优化算法的光伏多峰MPPT控制策略

An improved slime mould algorithm based MPPT strategy for multi-peak photovoltaic system

中文关键词  光伏发电  最大功率点追踪  局部阴影  L′evy飞行  黏菌优化算法

英文关键词  photovoltaic system  maximum power point tracking  partial shading condition  L′evy flight  slime mold optimization algorithm

中文摘要

      当光伏阵列在局部阴影遮挡条件下时, 传统最大功率点追踪控制策略易陷入局部最优解, 降低光伏系统发电效率. 为解决该问题, 本文提出了一种基于改进黏菌优化算法的最大功率点追踪策略. 该策略在黏菌优化算法的基础上, 基于光伏阵列特性提出了新的边界条件, 减小超出边界黏菌的迭代次数, 增大算法的收敛速度; 同时, 引入了L′evy飞行策略优化其收敛准则, 提升算法的随机搜索能力, 进一步提高了算法的追踪速度. 仿真和实验结果表明,该策略拥有较高的追踪速度和追踪精度, 在各个光照条件下均能快速追踪到最大功率点, 有效提高光伏系统的发电效率

英文摘要

      When the photovoltaic array is under partial shading condition, the traditional maximum power point tracking strategy is easy to fall into the local optimal solution and reduce power generation efficiency of the photovoltaic system. In order to solve this problem, a maximum power point tracking strategy based on the improved slime mould algorithm is proposed in this paper. The algorithm changes the boundary conditions of slime mould optimization algorithm based on the characteristics of photovoltaic array, which improves the tracking speed of the algorithm. Meanwhile it used the L′evy flight to improve the convergence criterion of slime mould optimization algorithm, which can improve the random search ability of the algorithm, and further improve the tracking speed of the algorithm. The simulation and experimental results show that the proposed strategy has quickly tracking speed and tracking accuracy, and can quickly track the maximum power point under various lighting conditions and effectively improve the power generation efficiency of the photovoltaic system.