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光伏发电技术
★ 5.0
伪随机序列编码电致发光成像用于强环境光下光伏组件检测
Pseudorandom Sequence Coded Electroluminescence Imaging for Photovoltaic Module Inspection Under Strong Environmental Light
| 作者 | Fan Zhu · Kai Xie · Dongwen Gan · Lei Quan · Jingyi Zhu |
| 期刊 | IEEE Journal of Photovoltaics |
| 出版日期 | 2024年10月 |
| 技术分类 | 光伏发电技术 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 光伏组件检测 伪随机序列编码电致发光 抗干扰能力 电致发光图像 无损检测 |
语言:
中文摘要
光伏(PV)组件检测主要是在暗室中基于电致发光(EL)成像进行的。为提高通用性和抗干扰特性,本文提出一种用于在环境光下检测光伏组件的伪随机序列编码电致发光(PRC - EL)方法。在该方法中,通过平衡序列抑制不相关的环境光,从而使光伏检测具有更高的抗噪性能。本文从数学上验证了所提出的PRC - EL方法的可行性,并搭建了一个原型系统。实验结果表明,该方法能显著提高EL检测方法的抗干扰能力。使用10位工业相机可在室外光照强度(峰值为286 $\rm {W}/\rm {m}^{2}$)下恢复EL图像,低成本的8位相机可耐受40.8 $\rm {W}/\rm {m}^{2}$的光照强度,适用于室内和阴天环境。此外,采用自适应阶PRC - EL方法可在环境光条件大幅变化的情况下连续恢复出稳定的高质量图像。所提出的方法可充分利用日常工作时间和条件对光伏组件进行无损检测和在线检测,这显著拓展了EL方法的潜在应用场景数量。该方法在光伏组件的详细定期检测、分类和性能研究方面显示出巨大的改进潜力。
English Abstract
The inspection for photovoltaic (PV) module is mainly used in darkroom based on electroluminescence (EL) imaging. To improve the universality and anti-interference characteristic, this aricle proposes a pseudorandom-sequence coded EL (PRC-EL) for PV module inspection under ambient light. In the proposed method, the uncorrelated ambient light is inhibited by an equilibrium sequence, which results in a much higher anti-noise performance for PV inspection. The feasibility of the proposed PRC-EL method is verified mathematically and a prototype system is established in this work. The experimental results show that this method can significantly improve the anti-interference ability of EL detection method. The EL image can be recovered by using a 10 bit industrial camera for outdoor measurements (the peak is 286 W/ m^2 ), the 40.8 W/ m^2 can be tolerated by a low-cost 8-bit camera, suitable for indoor and cloudy environments. Furthermore, the stable high-quality images can be restored continuously using the adaptive-order PRC-EL method under widely varying ambient light conditions. The proposed method can make full use of daily working hours and conditions to perform nondestructive testing and online detection of PV modules, which expands the number of potential application scenarios for EL methods significantly. The proposed method shows major potential to provide improvements in the detailed regular inspection, classification, and performance research of PV modules.
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SunView 深度解读
该伪随机序列编码EL成像技术对阳光电源光伏运维体系具有重要应用价值。可直接集成至iSolarCloud智能运维平台,实现户外现场条件下的组件缺陷检测,突破传统暗室检测的局限性。对于SG系列逆变器配套的大型光伏电站,该技术可结合无人机巡检系统,在不停机情况下完成组件健康诊断,显著提升预测性维护能力。其伪随机编码调制思路与MPPT扰动算法存在技术共性,可借鉴其抗干扰机制优化逆变器在复杂电网环境下的信号提取精度。建议在PowerTitan储能系统的电池健康管理中探索类似编码成像技术,用于户外集装箱式储能的热成像检测。