| 引用本文: | 刘春喜,黄远航,周 立,等.基于改进算术优化算法的光伏多峰最大功率点跟踪控制[J].电力系统保护与控制,2025,53(13):36-46.[点击复制] |
| LIU Chunxi,HUANG Yuanhang,ZHOU Li,et al.Multi-peak maximum power point tracking control of PV systems based on improved arithmetic optimization algorithm[J].Power System Protection and Control,2025,53(13):36-46[点击复制] |
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| 摘要: |
| 局部遮阴条件下光伏阵列的功率-电压特性曲线出现多个峰值，传统最大功率点跟踪(maximum power point tracking, MPPT)技术无法准确追踪到全局最大功率点。针对该问题提出一种基于改进算术优化算法(improved arithmetic optimization algorithm, IAOA)的MPPT控制方法。首先，采用Sobol序列生成均匀分布的初始种群，增加种群多样性。其次，为了平衡算术优化算法(arithmetic optimization algorithm, AOA)的全局搜索和局部开发能力，对AOA中数学优化器加速函数的权重进行重构。最后，在AOA的位置更新中引入Lévy飞行策略，并将准反向学习用于每次更新后的最佳解，增强了算法的收敛速度和跳出局部最优的能力。仿真和实验结果表明，将改进后的算法应用于MPPT控制中，能够在不同的局部遮阴及光照突变条件下准确、快速地跟踪到全局最大功率点，且功率振荡小。 |
| 关键词: 光伏系统 最大功率点跟踪 局部遮阴 算术优化算法 Lévy飞行 |
| DOI：10.19783/j.cnki.pspc.240759 |
| 投稿时间：2024-06-18修订日期：2024-12-18 |
| 基金项目:国家自然科学基金项目资助(52177047)；辽宁省教育厅基础研发项目资助(LJKMZ20220683) |
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| Multi-peak maximum power point tracking control of PV systems based on improved arithmetic optimization algorithm |
| LIU Chunxi,HUANG Yuanhang,ZHOU Li,LI Shiji,LIN Zhiwei |
| (Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China) |
| Abstract: |
| Under partial shading conditions, the power-voltage characteristic curve of a photovoltaic (PV) array exhibits multiple peaks, making it difficult for traditional maximum power point tracking (MPPT) techniques to accurately track the global maximum power point. To address this issue, an MPPT control method based on an improved arithmetic optimization algorithm (AOA) is proposed. First, the Sobol sequence is used to generate an initial population with a uniform distribution to enhance population diversity. Next, to balance the global search and local exploitation capabilities of AOA, the weight of the acceleration function in the mathematical optimizer of AOA is restructured. Finally, the Lévy flight strategy is introduced into the position update process of AOA, and quasi-oppositional learning is applied to the best solution after each update to enhance the algorithm’s convergence speed and its ability to escape local optima. Simulation and experimental results show that the improved algorithm can accurately and quickly track the global maximum power point under different partial shading and sudden light change conditions, with minimal power oscillation. |
| Key words: photovoltaic systems MPPT partial shading arithmetic optimization algorithm Lévy flight |
