Photovoltaic module intelligent inspection method applied to photovoltaic power generation system

Abstract

The invention provides a photovoltaic module intelligent inspection system and a photovoltaic module intelligent inspection method applied to a photovoltaic power generation system. According to the invention, the voltage amplitude change of a reverse diode between the wiring terminals of a photovoltaic module is measured, and then the A / D detection technology is used for collecting voltage signals. The ZigBee wireless transmission technology is adopted, and collected signals are sent to a terminal receiving device. The system is directly connected with a photovoltaic panel wiring terminal through a high-voltage-resistant DC / DC non-isolated converter, so that the self-power supply of the system during the working state is achieved. In combination with three sets of measured voltage, illumination intensity and temperature, a fuzzy control algorithm is designed. Whether a fault belongs to a permanent fault or a temporary fault caused by cloud shielding or tree shielding is judged. Meanwhile, the aging degree of the photovoltaic module can be reflected, and the fault reporting of the system can be realized. The system and the method are suitable for the practical application of a photovoltaic power station and a distributed photovoltaic power generation system.

Description

Technical field [0001] The invention relates to the field of photovoltaic power generation fault detection, in particular to an intelligent inspection system and method for photovoltaic components applied to a photovoltaic power generation system. Background technique [0002] The existing inspection technologies for photovoltaic modules mainly include manual inspection methods and drone inspection methods. The manual inspection method consumes manpower and material resources, the inspection efficiency is low, and it is difficult to meet the requirements of photovoltaic power plants. UAV inspections are susceptible to interference in detection accuracy and high cost of use. It also requires the establishment of an imaging database, which is difficult to meet the actual needs of photovoltaic power plants. At the same time, because the distributed photovoltaic power generation system itself is a distributed power generation system, there is a problem of high labor costs in detecti...

AI Technical Summary

Problems solved by technology

The manual inspection method consumes manpower and material resources, the inspection efficiency is low, and it is difficult to meet the requirements of photovoltaic power plants

UAV inspections are susceptible to interference in terms of detection accuracy, high cost of use, and an imaging database needs to be established, which is difficult to meet the actual needs of photovoltaic power plants

At the same time, since the distributed photovoltaic power generation system itself is a distributed power generation system, there is a problem of high labor costs in the detection of distributed photovoltaic power generation systems, and UAV inspections are not suitable for distributed photovoltaic power generation systems. The problem of fault detection of photovoltaic modules in distributed photovoltaic power generation systems is highlighted

[0003] Photovoltaic power stations and distributed photovoltaic power generation systems have a large number of photovoltaic modules and complex system structures. The damage and aging of a single photovoltaic module and the shading of photovoltaic modules will affect the power supply quality of the entire photovoltaic panel, and may even be affected by some photovoltaic modules. Damage, aging and shading problems cause the MPPT point of the entire photovoltaic power station to shift, so the fault detection, discrimination and aging degree detection of photovoltaic power generation systems have become an urgent problem to be solved

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