重庆理工大学学报2025，Vol.39Issue(9)：195-201,7.DOI:10.3969/j.issn.1674-8425(z).2025.05.024
基于混沌GWO-P&O的复杂遮阴光伏系统MPPT控制
MPPT control of photovoltaic systems under complex shading conditions based on chaotic GWO-P&O
摘要
Abstract
Maximum power point tracking(MPPT)algorithm easily falls into local optima due to the multi peak characteristics of photovoltaic arrays under local shading conditions.To address the issue,a new MPPT algorithm(CGWO-P&O)based on the combination of chaos improved grey wolf optimization algorithm and disturbance observation method is proposed.Chaotic mapping strategy is introduced to initialize the grey wolf population,increasing population diversity and distribution uniformity,balancing the global and local search capabilities of the grey wolf optimization algorithm.Thus,local optima is avoided.Perturbation and observation method is employed to remedy the low search speed of grey wolf optimization algorithm and accelerate the speed of approaching the maximum power point in the later stage.Results show the CGWO-P&O algorithm markedly improves the tracking speed and accuracy of the maximum power point in photovoltaic systems,effectively addressing the local optimization problems caused by multiple power peaks under complex shading conditions.关键词
光伏系统/最大功率点跟踪/混沌映射/灰狼优化算法Key words
photovoltaic system/maximum power point tracking/chaotic mapping/gray wolf optimization algorithm分类
计算机与自动化引用本文复制引用
樊立萍,蒋宇浩..基于混沌GWO-P&O的复杂遮阴光伏系统MPPT控制[J].重庆理工大学学报,2025,39(9):195-201,7.基金项目
辽宁省教育厅重点攻关项目(LJKZZ20220057) （LJKZZ20220057）
国家外国专家项目(DL2021006001 L) （DL2021006001 L）
