重庆科技大学学报（自然科学版）2025，Vol.27Issue(6)：90-100,11.DOI:10.19406/j.issn.2097-4531.2025.06.010
基于IGEO-AINC算法的光伏多峰MPPT研究
Research on Multi-Peak MPPT for Photovoltaic Systems Based on IGEO-AINC Algorithm
摘要
Abstract
Partial shading causes the power-voltage characteristic curve of photovoltaic arrays to exhibit multiple peaks.Traditional maximum power point tracking(MPPT)algorithms suffer from low accuracy,slow response,and significant power fluctuations.To address these issues,a hybrid control strategy that combines an improved golden eagle optimization algorithm(IGEO)with an adaptive incremental conductance method(AINC),referred to as IGEO-AINC,is proposed.The IGEO algorithm utilizes Logistic-Tent chaotic mapping to enhance population diver-sity and optimizes the search process through improved differential evolution mutation and an enhanced Lévy flight mechanism,effectively suppressing power oscillations and avoiding local extremum traps.The IGEO-AINC employs a two-stage optimization approach that integrates the global search capability of IGEO with the local fine-tuning effect of AINC.Simulation results demonstrate that,compared to PSO and GEO algorithms,the IGEO-AINC hybrid strategy exhibits superior performance under complex operating conditions,achieving an average tracking efficiency of up to 99.99％with significantly reduced power oscillations.This approach effectively enhances the power genera-tion efficiency of photovoltaic systems.关键词
最大功率点跟踪/局部遮荫/改进金鹰优化算法/自适应电导增量法Key words
maximum power point tracking/partial shading/improved golden eagle optimization algorithm/adap-tive incremental conductance method分类
信息技术与安全科学引用本文复制引用
圣刚,李红月..基于IGEO-AINC算法的光伏多峰MPPT研究[J].重庆科技大学学报（自然科学版）,2025,27(6):90-100,11.基金项目
安徽省高校自然科学基金重点项目"高渗透率的新型配电系统故障特性与保护边界研究"(KJ2021A0471) （KJ2021A0471）
