Method and control system for intelligent cleaning strategy of photovoltaic modules
A technology for photovoltaic modules and control systems, applied in general control systems, control/regulation systems, photovoltaic modules, etc., can solve problems such as energy loss, lack of combination of geographical environment, seasonal changes, and the impact of photovoltaic module power generation efficiency, to reduce cleaning The effect of cost, improving economy and improving cleaning efficiency
Active Publication Date: 2022-03-11
NANTONG UNIVERSITY
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[0004] However, most of the cleaning solutions currently used by photovoltaic cleaning robots are traditional regular cleaning, which cleans photovoltaic modules at regular intervals. This method does not combine geographical environment, seasonal changes, weather factors, etc., and lacks corresponding intelligent cleaning. Strategy, too much cleaning will cause unnecessary loss of energy, too little cleaning will affect the power generation efficiency of photovoltaic modules, so it is necessary to propose an intelligent cleaning strategy and arrange the best cleaning time reasonably
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[0151] The installed capacity of a photovoltaic power station in Jiangsu is about 5MW (1MW=1000kW). For model verification, two inverters (500kW) of an array in a photovoltaic power station are selected, and the data of a photovoltaic power station in Jiangsu from December 1, 2017 to July 31, 2018 are taken. As a training set, the photovoltaic on-grid electricity price during this period is 0.98 yuan / (kW h), and the improved BP neural network prediction model is used to predict the power generation of photovoltaic modules from August 1, 2018 to August 28, 2018. According to The weather forecast knows that there is no bad weather during this period, and the weather type is mainly sunny or cloudy, and then the best cleaning time is obtained according to the intelligent cleaning data model.
[0152] Table 2 Experimental data table
[0153]
[0154]
[0155] As shown in Table 2, P r is the predicted power generation value based on the improved BP neural network, P a is the...
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The present invention provides a method and a control system for intelligent cleaning strategies of photovoltaic modules. The control system includes two parts: a server system and a Web system; the method for cleaning strategies includes the following steps: Obtain data and judge whether it meets the starting conditions for photovoltaic module testing; step 2, power generation forecast; step 3, calculation of lost power generation; step 4, cleaning cost analysis; step 5, obtain optimal cleaning time control instructions, or operate without building cleaning devices Dimension suggestions; the beneficial effect of the present invention is: a photovoltaic module intelligent cleaning strategy of the present invention combines geographical environment, weather factors, etc., to quantitatively analyze the power generation loss value of photovoltaic modules due to dust accumulation, which can effectively solve the problem of current photovoltaic power plants. The lack of corresponding intelligent cleaning strategies can improve the cleaning efficiency of photovoltaic modules, reduce cleaning costs, and improve the economics of photovoltaic power plants.
Description
technical field [0001] The invention relates to the technical field of photovoltaic module intelligent cleaning, in particular to a method and a control system for a photovoltaic module intelligent cleaning strategy. Background technique [0002] With the continuous development of photovoltaic technology and the continuous increase of photovoltaic installed capacity in my country, the economic benefits of photovoltaic power plants are particularly important. However, since the photovoltaic modules used in photovoltaic power plants are usually installed outdoors, the photovoltaic modules are not only affected by internal factors such as equipment aging, but also affected by external factors such as dust during operation. Studies have shown that the power generation performance of photovoltaic modules and the amount of dust deposited There is a negative correlation change, and the power generation efficiency of photovoltaic modules decreases by 25.5% for every 1 micron increas...
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IPC IPC(8): G05B13/04H02S40/10
CPCG05B13/042H02S40/10Y02E10/50
Inventor 李跃华江小静何雨泽王进
Owner NANTONG UNIVERSITY