A Novel Gradual Faults Diagnosis Using the Photovoltaic Plant Reflectometry Profile

Najwa Lamdihine, M. Ouassaid, G. Aniba
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引用次数: 1

Abstract

This paper presents a novel gradual defects diagnosis technique for photovoltaic (PV) panels using a new concept named the photovoltaic plant reflectometry profile (PPRP). In fact, the maintaining of the good functioning of PV systems requires a highly accurate diagnosis for detecting defects not only at the begining, during the commissioning of the PV systems, but also throughout their lifetime. The proposed technique in this paper allows not only the detection of a discordance between the datasheet and the measured performance of the manufactured PV panels, but also to find the exact location of the defective one on an already installed PV plant. The PPRP is a new analytical model and criterion used to compare between the reflected signal that is received within the PV Plant after its transmission and the ideal (expected) one computed analytically using the datasheet. Simulations were conducted using MATLAB Simulink to emulate the discordance between the ideal PPRP and the measured PPRP on the PV plant, and show precisely the expected location of the faulty module.
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一种基于光伏电站反射曲线的渐进式故障诊断方法
本文提出了一种新的光伏板缺陷渐进式诊断技术,该技术采用了光伏电站反射剖面(PPRP)的新概念。事实上,维护光伏系统的良好功能需要高度准确的诊断,不仅在光伏系统的开始,在调试期间,而且在其整个生命周期中检测缺陷。本文提出的技术不仅可以检测数据表和制造的光伏板的测量性能之间的不一致,还可以在已经安装的光伏电站上找到有缺陷的光伏板的确切位置。PPRP是一种新的分析模型和标准,用于比较光伏电站在传输后接收到的反射信号和使用数据表分析计算的理想(预期)信号。利用MATLAB Simulink进行仿真,模拟光伏电站的理想PPRP与实测PPRP之间的不一致,准确地显示出故障模块的预期位置。
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