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Real-time inspection and determination methods of faults on photovoltaic power systems by thermal imaging in Turkey

机译:土耳其通过热成像实时检查和确定光伏发电系统故障的方法

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In recent five years, the capacity of photovoltaic power systems (PVPS) based on solar energy had a significant improvement in Turkey. Approximately 1.8 GWp PVPS was installed in 2017 and reached to 5.062 GWp cumulative capacity at the end of the year 2018. In this development phase, it is critical to ensure a long-term high quality of PV power generation. To achieve a sustainable development, the quality inspections has to be in place. It assures that expected commercial gains are caught and PV plants achieve a long service life. On-site testing of PVPS is very helpful to evaluate the real performance of the plant and diagnose the failures. When compared to other inspection methods, the most time-efficient one is infrared thermal imaging (IRT) of the PV modules and also the electrical components. In this study, the results of IRT inspection for 19 different PVPSs in Turkey (115.36 MWp in total) is presented. The diagnosed defects were classified according to the failure type and the number of them were normalized per MWp to evaluate the most frequently observed issues during the field tests. The experimentation, both in terms of accuracy and processing time, confirms the effectiveness and the efficiency of the thermal imaging approach. The results also showed that the sampling rate of testing is very critical to get a right comparison and failure types are mainly caused due to active bypass diodes and hotspots on PV modules, non-operative modules and strings, abnormally heated cables/fuses/breakers and interconnection points. (C) 2019 Published by Elsevier Ltd.
机译:近五年来,土耳其基于太阳能的光伏发电系统(PVPS)的容量有了显着提高。 2017年安装了约1.8 GWp PVPS,到2018年底累计容量达到5.062 GWp。在此开发阶段,确保长期高质量的PV发电至关重要。为了实现可持续发展,必须进行质量检查。它确保了预期的商业收益,并且光伏电站的使用寿命更长。 PVPS的现场测试对于评估工厂的实际性能并诊断故障非常有帮助。与其他检查方法相比,最省时的方法是光伏组件以及电气组件的红外热成像(IRT)。在这项研究中,介绍了土耳其19种不同PVPS(共115.36 MWp)的IRT检查结果。根据故障类型对诊断出的缺陷进行分类,并按每兆瓦时数对它们的数量进行归一化,以评估现场测试中最常发现的问题。在准确性和处理时间方面的实验都证实了热成像方法的有效性和效率。结果还表明,测试的采样率对于进行正确的比较非常关键,并且故障类型主要是由于有源旁路二极管和PV模块,非工作模块和线串上的热点,异常加热的电缆/保险丝/断路器和互连点。 (C)2019由Elsevier Ltd.发布

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