电力系统保护与控制2025，Vol.53Issue(13)：36-46,11.DOI:10.19783/j.cnki.pspc.240759
基于改进算术优化算法的光伏多峰最大功率点跟踪控制
Multi-peak maximum power point tracking control of PV systems based on improved arithmetic optimization algorithm
摘要
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.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Key words
photovoltaic systems/MPPT/partial shading/arithmetic optimization algorithm/Lévy flight引用本文复制引用
刘春喜,黄远航,周立,李世纪,林枝伟..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):36-46,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.52177047). 国家自然科学基金项目资助(52177047) （No.52177047）
辽宁省教育厅基础研发项目资助(LJKMZ20220683) （LJKMZ20220683）
