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Identifying PV Module Mismatch Faults by a Thermography-Based Temperature Distribution Analysis

机译:通过基于热成像的温度分布分析识别光伏组件不匹配故障

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Photovoltaic (PV) solar power generation is proven to be effective and sustainable but is currently hampered by relatively high costs and low conversion efficiency. This paper addresses both issues by presenting a low-cost and efficient temperature distribution analysis for identifying PV module mismatch faults by thermography. Mismatch faults reduce the power output and cause potential damage to PV cells. This paper first defines three fault categories in terms of fault levels, which lead to different terminal characteristics of the PV modules. The investigation of three faults is also conducted analytically and experimentally, and maintenance suggestions are also provided for different fault types. The proposed methodology is developed to combine the electrical and thermal characteristics of PV cells subjected to different fault mechanisms through simulation and experimental tests. Furthermore, the fault diagnosis method can be incorporated into the maximum power point tracking schemes to shift the operating point of the PV string. The developed technology has improved over the existing ones in locating the faulty cell by a thermal camera, providing a remedial measure, and maximizing the power output under faulty conditions.
机译:光伏(PV)太阳能发电已被证明是有效且可持续的,但目前受到相对较高的成本和较低的转换效率的阻碍。本文通过提出一种低成本且有效的温度分布分析来解决这两个问题,以通过热像图识别光伏组件的失配故障。不匹配的故障会降低功率输出,并可能损坏光伏电池。本文首先根据故障级别定义了三种故障类别,它们导致了光伏模块的不同端子特性。还通过分析和实验对三个故障进行了调查,并针对不同的故障类型提供了维护建议。通过模拟和实验测试,开发了所提出的方法,以结合经受不同故障机制的PV电池的电和热特性。此外,可以将故障诊断方法合并到最大功率点跟踪方案中,以移动PV串的工作点。在通过热像仪定位故障电池,提供补救措施以及在故障条件下最大化功率输出方面,已开发的技术已对现有技术进行了改进。

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