吉林大学学报（信息科学版）2026，Vol.44Issue(1)：52-60,9.
基于IGWO-VINC的光伏发电多峰值MPPT
Multi-Peak MPPT of Photovoltaic Power Generation Based on IGWO-VINC
摘要
Abstract
To address the challenges of slow tracking speed and low accuracy in MPPT(Maximum Power Point Tracking)under PSC(Partial Shading Conditions)where PV(photovoltaic)arrays exhibit multi-peak power characteristics.A hybrid algorithm combining an improved GWO(Grey Wolf Optimizer)with a variable-step INC(Incremental Conductance)method is proposed.First,a peak voltage initialization strategy is incorporated into the GWO by analyzing the voltage positions corresponding to power peaks.Second,a nonlinear convergence factor is introduced to enhance the GWO's global search capability.The hybrid approach employs the modified GWO for global exploration and then switches to a variable-step INC method(adjusted by dP/dU)for precise local refinement.MATLAB/Simulink simulations demonstrate that the proposed algorithm significantly improves tracking speed and accuracy under both static and dynamic PSC while reducing output power oscillations.关键词
光伏发电/局部遮阴情况/最大功率点跟踪/灰狼优化算法/电导增量法Key words
photovoltaic power generation/partial shading conditions(PSC)/maximum power point tracking(MPPT)/grey wolf optimization algorithm(GWO)/incremental conductance分类
信息技术与安全科学引用本文复制引用
贾莹,李永乐..基于IGWO-VINC的光伏发电多峰值MPPT[J].吉林大学学报（信息科学版）,2026,44(1):52-60,9.基金项目
东北石油大学引导性创新基金资助项目(15071202201) （15071202201）
