研究目的
To propose a new inspection method for fault detection and diagnosis of photovoltaic (PV) modules based on measuring the magnetic flux density on the surface of crystalline silicon PV modules.
研究成果
The proposed method of PV module fault detection using integrated magnetic sensors was confirmed to effectively identify different types of faults under illuminated short circuit and loaded conditions. The method offers on-site and real-time diagnosis capabilities with lower costs compared to conventional methods.
研究不足
The measurement devices are in their preliminary designs, requiring more research to improve measurement speed, automation, and reducing the shading of the device on the PV module.
1：Experimental Design and Method Selection:
The study employs two types of small integrated magnetic sensors for measuring 1-D and 2-D magnetic profiles on the surface of PV modules to detect faults.
2：Sample Selection and Data Sources:
Crystalline silicon PV modules are used, with faults such as dump and heat degradation, broken, or cracked cells being detected.
3：List of Experimental Equipment and Materials:
Includes two types of sensor devices (1-D and 2-D devices), nine-axis motion tracking sensors, IR temperature sensor, optical laser position sensor, microcontroller, and magnetic line sensor modules.
4：Experimental Procedures and Operational Workflow:
The surfaces of PV modules are scanned under short-circuit and illuminated conditions to measure magnetic flux density and temperature profiles.
5：Data Analysis Methods:
Magnetic flux density and temperature profiles are analyzed to identify faults, with data acquisition and plotting performed using LabVIEW.
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