Diagnosis of power losses in PV plants by means of UAV thermography

A. P. Catalano, V. d’Alessandro, P. Guerriero, S. Daliento
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引用次数: 1

Abstract

This paper presents a technique to relate the temperature distribution over solar panel, achievable by means of the UAV thermography, with the electrical power distribution which is the cause of those temperatures. Differently from a mere thermal analysis, that can only identify “hotter” regions throughout the solar field, this technique allows evaluating electrical power losses associated to malfunctioning events. The method is based on the energy balance between the sun irradiance, which tends to heat up the solar cells, and the electrical behavior, which tends to cool down if the cell is converting light, while tends to further increase the cell temperature in those cases in which the cell behaves as a load. The reliability of the technique is evidenced by providing simulated thermal maps, achieved by means of known electrical and irradiance conditions, which are analyzed to re-achieve the starting electrical condition at the single cell level.
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利用无人机热成像技术诊断光伏电站的功率损耗
本文提出了一种将太阳能电池板上的温度分布与引起这些温度的电力分布联系起来的技术,该技术可以通过无人机热成像技术实现。与单纯的热分析不同,热分析只能识别整个太阳场中“较热”的区域,这种技术可以评估与故障事件相关的电力损失。该方法基于太阳辐照度和电学性能之间的能量平衡,太阳辐照度会使太阳能电池升温,而电学性能在电池转换光时趋于冷却,而在电池作为负载的情况下,电学性能会进一步提高电池温度。该技术的可靠性通过提供模拟热图来证明,该热图是通过已知的电和辐照条件获得的,并对其进行分析,以重新获得单细胞水平的起始电条件。
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