Decision-making method, evaluation method and device for cleaning photovoltaic module, and cleaning system

Abstract

Embodiments of the invention disclose a decision-making method, an evaluation method and a device for cleaning a photovoltaic module, and a cleaning system. The decision-making method comprises the following steps: calculating a current evaluation day dust loss degree containing a rainfall influence degree, wherein the rainfall influence degree is determined according to historical rainfall data and original daily dust loss degree, and the current evaluation day dust loss degree is determined according to the rainfall influence degree, the daily generating capacity of a standard string, the daily generating capacity of a comparison string and historical weather data; calculating estimated cleaning yield rate, wherein the estimated cleaning yield rate is determined according to the current evaluation day dust loss degree, the historical weather data, the weather forecast data, the cleaning data and an electricity selling price; and comparing the estimated cleaning yield rate with a preset cleaning yield rate to determine whether the photovoltaic module is cleaned or not. According to the embodiments of the invention, the daily dust loss degree and estimated cleaning yield calculation accuracy are improved, so cleaning decision accuracy is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of photovoltaic technology, and in particular to a decision-making method, evaluation method, device and cleaning system for cleaning photovoltaic modules. Background technique [0002] Solar energy is the cleanest, safest and most reliable energy source in the future. Photovoltaic industry is becoming another explosive development industry after IT and microelectronics industry in the world. Similarly, the rapid development of my country's photovoltaic industry has formed a relatively complete photovoltaic manufacturing industry system. Like other industries, the photovoltaic industry needs to consider production cost and efficiency during the production process, for example, the cleaning cost of photovoltaic modules. [0003] In the prior art, two methods are adopted for cleaning decision-making: the first method is based on the rate of system efficiency decline; the second method is based...

AI Technical Summary

Problems solved by technology

However, the second method still has the problem of inaccurate calculation of daily dust loss and estimated cleaning income, which affects the judgment of cleaning timing

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