基于混合式改进斑马优化算法的光伏MPPT研究
Improved Zebra Optimization Algorithm-hybridized Method for Photovoltaic MPPT
雷金华 1潘成勇2
作者信息
- 1. 广东省能源集团贵阳抽水蓄能发电有限公司,贵州贵阳 550000
- 2. 湖北工业职业技术学院智能工程学院,湖北十堰 442000
- 折叠
摘要
光伏阵列易受外界影响而出现局部遮阴,功率输出则会呈现多峰值现象.传统的光伏最大功率跟踪算法(MPPT)存在效率低下、输出波动较大、易陷入局部最优解等问题.针对这些缺陷,提出基于改进斑马优化算法(IZOA)混合电导增量法(INC)的光伏MPPT控制策略.算法初始阶段,引入Tent混沌映射促进斑马种群在寻优空间均匀分布,利用IZOA的优势快速搜索全局最大功率点;然后在最大功率点附近,利用INC提升搜索效率,实现快速稳定输出.通过MATLAB/Simulink建模,同等参数条件下,将仿真粒子群优化算法(PSO)、布谷鸟优化算法(CS)、斑马优化算法(ZOA)与之对比,结果显示IZOA-INC具有较好的追踪效果.
Abstract
Photovoltaic arrays are susceptible to external influences and local shading,and the power output shows multi-peak characteristic.The conventional photovoltaic maximum power tracking(MPPT)algorithms have some problems such as low efficiency,large output fluctuation,and ease of local optimum.To address these defects,a photovoltaic MPPT control strategy based on the hybridization of improved zebra optimization algorithm(IZOA)and incremental con-ductance increment(INC)was proposed.In the initial stage of the algorithm,Tent chaotic mapping was introduced to promote the uniform distribution of zebra population in the optimization space,and the advantage of IZOA was used to quickly search the global maximum power point.Later,when the maximum power point was near,INC was used to im-prove search efficiency and achieve fast and stable output.The proposed IZOA-INC method was verified by MATLAB/Simulink modeling to achieve tracking utility superior to those of simulative particle swarm optimization algorithm(PSO),cuckoo optimization algorithm(CS),and zebra optimization algorithm(ZOA)under the same parameter conditions.
关键词
光伏MPPT/斑马优化算法/电导增量法/智能优化算法/MATLAB/Simulink/混沌映射Key words
photovoltaic MPPT/zebra optimization algorithm/incremental conductance method/intelligent optimization algorithm/MATLAB/Simulink/chaotic mapping引用本文复制引用
出版年
2024
NETL
NSTL
万方数据