基于改进黏菌算法的光伏多峰值MPPT控制
MULTI-PEAK MPPT CONTROL OF PV ARRAY BASED ON IMPROVED SLIME MOULD ALGORITHM
任志玲 1毛奕栋1
作者信息
- 1. 辽宁工程技术大学电气与控制工程学院,葫芦岛 125105
- 折叠
摘要
针对传统最大功率点跟踪技术在局部遮阴等天气条件下存在无法追踪到全局最大功率点的问题,提出一种基于改进黏菌算法的MPPT控制.首先,对太阳电池模型及多峰值特性进行分析;其次,在黏菌算法中引入领导者策略和基于最优个体的凸透镜反向学习策略,在提高算法计算精度、收敛速度的同时克服了算法易"早熟"现象;最后,根据光伏阵列最大功率输出特性分别确定算法优化模型、初始化位置及重启机制.仿真与实验结果表明:基于改进黏菌算法的MPPT控制能快速、准确地跟踪到全局最大功率点,有效规避陷入局部最优问题,提高了光伏系统的转换效率.
Abstract
Aiming at the problem that the traditional maximum power point tracking technology can not track the global maximum power point under the special weather conditions such as partial shade,a MPPT control based on the improved slime mould algorithm is proposed.Firstly,the solar cell model and multi-peak characteristics are analyzed.Secondly,the leader strategy and the convex lens back learning strategy based on the optimal individual are introduced into the slime mould algorithm to improve the calculation accuracy and convergence speed of the algorithm and overcome the'premature'phenomenon of the algorithm.Finally,according to the maximum power output characteristics of the photovoltaic array,the algorithm optimization model,initialization position and restart mechanism are determined respectively.The simulation and experimental results show that the MPPT control based on the improved slime mould algorithm can quickly and accurately track to the global maximum power point,effectively avoid falling into the partial optimal problem,and improve the output efficiency of the photovoltaic system.
关键词
光伏发电/最大功率点跟踪/优化/局部遮阴/改进黏菌算法Key words
photovoltaic power generation/maximum power point tracking/optimization/partial shading/improved slime mould algorithm引用本文复制引用
基金项目
辽宁省教育厅科研项目(LJKZ0332)
辽宁省高等学校国(境)外培养项目(2019GJWZD002)
出版年
2024
NETL
NSTL
维普
万方数据