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2026, 04, v.60 20-28
基于改进蛇形算法结合电导增量法的光伏并网MPPT研究
基金项目(Foundation): 国家自然科学基金(52177185)
邮箱(Email): tangzhong64@163.com;
DOI: 10.20222/j.cnki.cn61-1124/tm.20250509.002
发布时间: 2025-05-09
出版时间: 2025-05-09
网络发布时间: 2025-05-09
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摘要:

光伏阵列在局部遮荫情况下,P-U曲线呈现多峰值特性,传统的最大功率点跟踪(maximum power point tracking, MPPT)算法收敛速度快但易陷入局部最优,元启发式算法收敛速度慢但适用于多极值寻优问题,因此,本文提出一种改进蛇形算法(improved snake optimization, ISO)结合电导增量法(incremental conductance,INC)的复合算法。首先,该算法利用ISO进行全局寻优,到达最大功率点附近后再利用INC进行精细搜索,最后,利用变步长INC的快速收敛性提高算法的寻优速度和精度。使用Matlab/Simulink仿真软件,构建了一个在局部阴影条件下的光伏发电系统模型,并在相同的种群规模下,对ISO、蝴蝶算法(butterfly optimization algorithm, BOA)进行了测试和比较,从而验证了所提算法的有效性。

Abstract:

Under partial shading conditions, the P-U curve of a photovoltaic array exhibits a multi-peak characteristic. Traditional maximum power point tracking(MPPT) algorithms converge quickly but are easily trapped in local optima, while metaheuristic algorithms converge slowly but are suitable for multi-extremum optimization problems. Therefore, a hybrid algorithm combining an improved snake optimization(ISO) algorithm with the incremental conductance(INC) method is proposed. Initially, the algorithm utilizes ISO for global optimization and then switches to INC for fine-tuning as it approaches the maximum power point. Finally, the rapid convergence of the variable-step INC is leveraged to enhance the optimization speed and precision of the algorithm. Using Matlab/Simulink simulation software, a photovoltaic power generation system model under partial shading conditions is built. The ISO and butterfly optimization algorithm(BOA) are tested and compared under the same population size, thereby validating the effectiveness of the proposed algorithm.

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基本信息:

DOI:10.20222/j.cnki.cn61-1124/tm.20250509.002

中图分类号:TP18;TM615

引用信息:

[1]王红志,唐忠,廖海宇.基于改进蛇形算法结合电导增量法的光伏并网MPPT研究[J].电力电子技术,2026,60(04):20-28.DOI:10.20222/j.cnki.cn61-1124/tm.20250509.002.

基金信息:

国家自然科学基金(52177185)

发布时间:

2025-05-09

出版时间:

2025-05-09

网络发布时间:

2025-05-09

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