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一种在可变日照条件下对运行中光伏组件进行高质量Suns-EL成像的方法
A high-quality Suns-EL imaging method for operating photovoltaic modules under variable sunlight conditions
| 作者 | Zixuan Fengab1 · Nan Yeab1 · Bowen Zhao · Dongyuan Chai · Jiangxin Yang · Yanpeng Cao |
| 期刊 | Solar Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 288 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 SiC器件 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | A contactless sunlight-excited EL imaging method is presented for operating modules. |
语言:
中文摘要
摘要 有效且周期性地检测光伏(PV)组件对于保障其在最大容量下的安全运行至关重要。尽管基于发光的成像技术能够识别大多数光伏组件缺陷,但现有方法通常需要额外的电接触,或仅能在特定日照条件下工作。本文提出了一种无需接触的日光激发电致发光(Suns-EL)成像方法,可在可变日照条件下获取高质量的发光图像。我们设计了一种局部遮蔽系统,将电池片划分为受光照的激发区域和被遮蔽的成像区域,从而实现对正在运行的组件进行无干扰成像。此外,我们提出了两种对日照变化不敏感的策略,以获得具有高图像均匀性和清晰缺陷结构/纹理的图像,包括:1)采用两阶段框架去除背景噪声并获取高质量的Suns-EL图像;2)基于光谱成分与能量分布分析的滤波器选择方法,在更好保留信号的同时有效抑制噪声。实验结果从定性和定量两个方面验证了所提方法在多种日照条件下对运行中光伏组件内部多种不可见缺陷进行高质量发光成像的有效性。
English Abstract
Abstract Effective and periodic inspection of photovoltaic (PV) modules is essential to guarantee their safe operation at maximum capacity. Although luminescence-based imaging techniques can identify most PV module defects, existing methods require additional electrical contact or can only work under certain sunlight conditions. In this paper, we propose a contactless sunlight-excited electroluminescence (Suns-EL) imaging method to acquire high-quality luminescence images under variable sunlight conditions. We present a partial shading system to separate the cell into an illuminated excitation area and a shaded imaging area for non-disruptive imaging on operating modules. Moreover, we propose two sunlight-insensitive strategies to acquire images with high image uniformity and clear defect structures/textures including: 1) a two-stage framework to remove background noise and obtain high-quality Suns-EL images and 2) a filter selection approach to preserve signal better while suppressing noise based on the analysis of spectral components and energy distributions. Experimental results demonstrate the effectiveness of our proposed method in acquiring high-quality luminescence images of multiple invisible defects in operating PV modules under various sunlight conditions, both qualitatively and quantitatively.
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SunView 深度解读
该Suns-EL成像技术为阳光电源光伏运维体系提供重要价值。可集成至iSolarCloud智慧运维平台,实现SG系列逆变器配套组件的非接触式缺陷检测,无需停机即可识别隐裂、热斑等故障。变光照条件下的高质量成像能力契合户外电站巡检需求,结合MPPT优化算法可提前预警组件性能衰减,降低PowerTitan储能系统直流侧风险。该技术可增强预测性维护能力,提升1500V高压系统安全性,为大型地面电站和工商业储能项目提供智能化诊断方案,减少发电损失并延长资产生命周期。