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光伏发电技术 多电平 ★ 5.0

利用多级正向电流偏置在野外电致发光检测中诊断光伏组件的PID

Diagnosing PID in Field Electroluminescence Inspections of PV Modules Using Multilevel Forward Current Biasing

作者 Rodrigo del Prado Santamaría · Gisele A. dos Reis Benatto · Thøger Kari · Aysha Mahmood · Peter B. Poulsen · Sergiu V. Spataru
期刊 IEEE Journal of Photovoltaics
出版日期 2025年9月
技术分类 光伏发电技术
技术标签 多电平
相关度评分 ★★★★★ 5.0 / 5.0
关键词 光伏组件 电位诱导衰减 电致发光成像 量化方法 诊断
语言:

中文摘要

通过将退化电池与健康电池的发光情况进行对比,利用电致发光(EL)成像技术可以识别光伏(PV)组件中的电位诱导衰减(PID)现象。在未退化的组件中,电池呈现出一致的辐射复合和发光特性,而PID会改变这些特性,从而产生可测量的差异。本文提出了一种方法,通过在两个不同的电流注入水平下采集EL图像,量化同一组件内退化电池与参考电池之间发光的相对变化。由此得到的指标能够实现PID的自动表征,并减少对主观视觉判读的依赖。该方法还通过多偏置调制技术进行了改进,以适用于日光现场EL检测,该技术在高电流注入和开路电压(<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">oc</sub>)之间引入一个中间电流偏置。这一改进措施减轻了光照强度变化带来的影响,使得在低光照条件下也能有效地进行PID表征。在现场和实验室环境中的验证均证实了该方法的稳健性,即使在50%的电流偏置下,组件发光差异仍超过2.5%。这些结果凸显了所提出的指标在光伏组件PID可靠诊断方面的潜力。

English Abstract

Potential-induced degradation (PID) in photovoltaic (PV) modules can be identified using electroluminescence (EL) imaging by comparing the luminescence of degraded cells to that of healthy cells. In nondegraded modules, cells exhibit consistent radiative recombination and luminescence properties, whereas PID alters these, creating measurable differences. This work presents a methodology to quantify relative changes in luminescence between degraded cells and a reference cell within the same module by acquiring EL images at two distinct current injection levels. The resulting metric enables automatic PID characterization and reduces reliance on subjective visual interpretation. The approach was further adapted for daylight field EL inspections using a multibias modulation technique, which introduces an intermediate current bias between high-current injection and open-circuit voltage (Voc). This adaptation mitigates variability from changing irradiance, allowing effective PID characterization under low irradiance conditions. Validation in both field and lab environments confirmed the robustness of the method, with module luminescence differences exceeding 2.5% even at 50% current bias. These results highlight the potential of the proposed metric for reliable PID diagnosis in PV modules.
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SunView 深度解读

该多级正向电流偏置EL诊断技术对阳光电源智能运维体系具有重要应用价值。可直接集成至iSolarCloud云平台的智能诊断模块,通过SG系列逆变器的多级电流输出能力,实现现场PID快速识别,提升大型光伏电站的预测性维护精度。该方法与阳光电源MPPT算法优化技术结合,可在不同光照条件下动态调整偏置电流,增强PID检测鲁棒性。对于1500V高压系统,多级电流偏置技术能有效抑制接触电阻干扰,精准定位衰减组件,降低电站运维成本,延长系统寿命,为PowerTitan等大型储能系统的光储协同运行提供可靠的组件健康评估支撑。