A kind of on-line detection device and cleaning method of surface area gray level of photovoltaic modules

Abstract

The invention discloses an on-line detection device for the gray scale of the surface area of ​​a photovoltaic module in the field of photovoltaics. Negative interface, the input interface is connected to the positive pole of the previous photovoltaic module to be tested, the output interface is connected to the negative pole of the next photovoltaic module to be tested, the positive interface is connected to the positive pole of the photovoltaic module to be tested, and the negative pole The interface is connected to the negative electrode of the photovoltaic module to be tested, and a detection and control system is installed inside the casing. The present invention calculates the relationship function between the photovoltaic module revenue and the interval cleaning time by performing curve fitting on the power of the actual environment of the photovoltaic module and the ash accumulation time. , and finally calculate the optimal cleaning interval, which can be used in photovoltaic module cleaning.

Description

technical field [0001] The invention relates to a photovoltaic module, in particular to a method for cleaning a photovoltaic module. Background technique [0002] With the decrease of global fossil energy reserves, in order to deal with possible energy security issues in the future and reduce the adverse impact of the use of fossil energy on the natural environment, the country has proposed renewable energy such as wind power, photovoltaics, and biomass energy as the core. sustainable development strategy. [0003] With the rapid growth of photovoltaic power generation installed capacity in recent years, the importance of post-operation and maintenance of photovoltaic power plants has become increasingly prominent, and cleaning the dust on the surface of photovoltaic modules is an essential daily maintenance work. The accumulation of dust on the surface of photovoltaic modules will not only reduce the power generation, but also cause hot spot effect in severe cases, resulti...

AI Technical Summary

Problems solved by technology

Because this kind of method involves more equipment and complicated operation process, it is difficult to realize unattended and remote early warning, which is not conducive to large-scale promotion

In addition, the performance change of the cleaning component as a reference unit due to self-attenuation, unintentional damage, etc. will easily cause the prediction deviation of the whole system

[0012] To sum up, although the existing detection system and its algorithm can scientifically determine the cleaning strategy to a certain extent, there are still many areas to be improved in terms of accuracy, cheapness and promotion cost.

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