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Verifying defective PV‐modules by IR‐imaging and controlling with module optimizers
Progress in Photovoltaics ( IF 8.0 ) Pub Date : 2018-01-11 , DOI: 10.1002/pip.2985
Claudia Buerhop 1 , Frank W. Fecher 1 , Tobias Pickel 1 , Adrian Häring 2 , Tim Adamski 2 , Christian Camus 1 , Jens Hauch 1 , Christoph J. Brabec 1, 3
Affiliation  

Quality control and efficient operation of roof‐top residential photovoltaic (PV)‐installations is an economic and technical challenge because these PV‐systems often suffer from various roof orientations and inclinations as well as partial and temporal shading. Module optimizers, which track the operating point individually for each module group, are good solutions providing also additional electrical information. The purpose of this work is verifying the identification and localization of defective PV‐modules with infrared (IR)–imaging and with module optimizers as well as quantifying the impact on the performance. Several PV‐plants were inspected and carefully analyzed. The findings using IR‐imaging can clearly be classified to substring failures due to open circuit and short circuit, bypass‐diode faults, cell defect, and some undefined optimizer problems. The electric data reveal that these findings are related to certain power loss and monthly or annual yield reduction. Interesting is the temporal behavior of particular defective sites, which show short‐term recovery. In summary, there is a good agreement between the occasionally performed IR‐findings and the continuously monitored electrical data.

中文翻译:

通过红外成像验证有缺陷的光伏组件并通过组件优化器进行控制

屋顶住宅光伏(PV)安装的质量控制和有效运行是一项经济和技术挑战,因为这些PV系统通常会遭受各种屋顶朝向和倾斜以及部分和暂时的阴影的困扰。可以分别跟踪每个模块组工作点的模块优化器是很好的解决方案,它还提供了额外的电气信息。这项工作的目的是通过红外(IR)成像和模块优化器来验证有缺陷的PV模块的标识和定位,以及量化对性能的影响。检查并仔细分析了几座光伏电站。可以将使用IR成像的发现明确归类为由于开路和短路,旁路二极管故障,电池缺陷,以及一些未定义的优化程序问题。电数据表明,这些发现与某些功率损耗以及每月或每年的产量降低有关。有趣的是特定缺陷部位的时间行为,表明其短期恢复。总而言之,在偶尔执行的IR查找和连续监控的电气数据之间有很好的协议。
更新日期:2018-01-11
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