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光伏组件积尘状态的检测技术综述

DETECTION TECHNIQUES FOR PV MODULES ACCUMULATED DUST STATE
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摘要 光伏电站经过长时间地运行,积尘对光伏组件造成的遮挡侵蚀和温度效应会越来越严重。为避免积尘造成的光伏组件发电效率损失,需要制定有效的清洁方案,因此需要对光伏组件积尘状态进行实时检测或预测。不同的积尘状态会造成不同的遮挡损失,对光伏电站的光伏组件积尘状态检测技术进行了综述与分析,将积尘检测方法分为适用于实验计算的理论公式模型预测、能够实时进行的I-V曲线检测和计算机视觉检测,对3种检测方法在应用上的问题进行了分析,并对光伏组件积尘状态检测技术未来的发展提出了建议。 As the PV station operates for a long time,the shading erosion and temperature effects caused by the accumulated dust on the PV modules will become more and more serious.In order to avoid the loss of PV modults power generation efficiency caused by accumulated dust,an effective cleaning plan needs to be developed.Therefore,it is necessary to conduct detect or predict the state of dust accumulation of PV modules in real time.Different dust accumulation states will cause different shading losses.The dust accumulation state detection technologies of PV modules in PV power station are reviewed and analyzed.The dust accumulation detection methods are divided into theoretical formula model prediction suitable for experimental calculations,real-time I-V curve detection and computer vision detection.Finally,the problems in the application of the three detection methods are analyzed,and the suggestions for future development of the detection technology of PV dust accumulation status is proposed.
作者 张天红 卢强 李升 Zhang Tianhong;Lu Qiang;Li Sheng(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Nari-tech JiLin Power New Energy Co.,Ltd,Nanjing 211106,China)
出处 《太阳能》 2024年第1期63-69,共7页 Solar Energy
基金 江苏高校品牌专业建设工程项目(智能电网信息工程)(苏教高函[2021]3号) 南京工程学院科研基金项目(ZKJ202102)。
关键词 光伏组件 积尘状态 计算机视觉 目标检测 PV module accumulated dust state computer vision object detection
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