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光伏发电子系统局部阴影检测性能评估:阵列构型对比研究

Performance Evaluation of Partial Shading Detection for Photovoltaic Generation Systems: A Comparative Study of Array Configurations

作者 Jen-Hao Teng · Han-Cheng Wu · Chun-Wei Cheng
期刊 IEEE Access
出版日期 2026年4月
卷/期 第 14 卷 第 null 期
技术分类 控制与算法
技术标签 MPPT 光伏逆变器 故障诊断 组串式逆变器
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

本文提出一种基于参数估计与阴影因子判定的增强型局部阴影检测(PSD)方法,针对SP、TCT及SP-TCT等典型光伏阵列构型,在多种阴影模式和辐照条件下验证其高正确率,并保障全局最大功率点跟踪(GMPP)鲁棒性。

English Abstract

Partial Shading Detection (PSD) can determine whether PS occurs and assist in selecting the appropriate Maximum Power Point Tracking (MPPT) algorithm, thereby improving the performance of Photovoltaic Generation Systems (PVGS). Most PSD methods focused on examining the series configuration of a PVGS. Nonetheless, the typical array configurations for a PVGS encompass Series-Parallel (SP), Total-Cross-Tied (TCT), and SP-TCT arrangements. Therefore, the effectiveness of a PSD under different PVGS array configurations needs to be investigated, as these configurations can alter a PVGS’s output curves and degrade the performance of conventional PSD methods. This paper proposes an enhanced PSD method based on the parameter estimation of a PVGS and the determined PS factor. This paper uses PVGSs composed of $3\times 3$ and $5\times 5$ PV panels to verify the enhanced PSD method. The performance of the enhanced PSD is then validated through various PVGS array configurations and PS patterns under different solar irradiances. PS patterns, including column, row, diagonal, and corner, are examined for the PVGS. Experimental results demonstrate the efficiency and effectiveness of the enhanced PSD. Since PVGS array configurations alter the output characteristic curves, tracking the Global Maximum Power Point (GMPP) is possible even when PSD results are incorrect. Simulation results indicate that the proposed enhanced PSD achieves high PSD correctness and maintains excellent GMPP correctness even when incorrect PSD results are encountered.
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SunView 深度解读

该研究直接支撑阳光电源组串式逆变器(如SG系列)和iSolarCloud智能平台的阴影识别与自适应MPPT优化能力。增强PSD算法可集成至逆变器嵌入式控制单元,提升复杂遮挡下MPPT效率;亦可赋能PowerTitan光储系统实现更精准的光伏侧功率预测与储能协同调度。建议在下一代组串式逆变器固件升级中嵌入该PSD逻辑,并在iSolarCloud中增加阵列构型感知的阴影热力图分析模块。