Method, system and storage device for predicting cleaning cycle of photovoltaic module

A technology for photovoltaic modules and cleaning cycles, applied in forecasting, system integration technology, information technology support systems, etc., can solve problems such as high cleaning costs, reduced power generation efficiency of photovoltaic modules, and failure to maximize power station benefits

Active Publication Date: 2018-12-18
SHANGHAI ELECTRIC DISTRIBUTED ENERGY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Dust accumulation will lead to a decrease in the power generation efficiency of photovoltaic modules. Cleaning photovoltaic modules is currently one of the most effective ways to improve the power generation efficiency of photovoltaic modules
At present, the cleaning method of the power station is cleaning at a fixed time or the head of the power station formulates a cleaning plan based on his experience, and the photovoltaic cleaning of the actual power station usually does not consider the influence of weather factors. If the photovoltaic power station is cleaned according to experience, the benefits of the power station will not reach the maximum The cost of cleaning is high. If the amount of power generation loss caused by dust accumulation is obtained through experiments, it needs to be re-tested when it is applied to other power stations, which increases labor costs.

Method used

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  • Method, system and storage device for predicting cleaning cycle of photovoltaic module
  • Method, system and storage device for predicting cleaning cycle of photovoltaic module

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Effect test

Embodiment 1

[0059] like figure 1 As shown, the method for predicting the cleaning cycle of the photovoltaic module according to the embodiment of the present invention mainly includes the following steps:

[0060] S1: Determine the photovoltaic derating factor;

[0061] S2: Determine the economic loss based on the photovoltaic derating factor, the cost of cleaning once, the number of days without cleaning, the price of photovoltaic electricity, and the number of hours of full photovoltaic power generation in a year;

[0062] S3: Determine the optimal cleaning period U according to the economic loss.

[0063] The following is a detailed description of the prediction method of the cleaning cycle of photovoltaic modules as follows:

[0064] It is known that before the photovoltaic modules of the photovoltaic power station or micro-grid adopt this cleaning strategy, the fixed cleaning period used is W days, and the cost of cleaning the photovoltaic modules once is R yuan. The optimal cleani...

Embodiment 2

[0095] Compared with Embodiment 2, this embodiment differs in that the influence of the surface temperature of the photovoltaic module is considered. like Figure 5 As shown, in this embodiment, taking the i-th day as an example, the photovoltaic derating factor f of the i-th day after cleaning is calculated PV-i , to illustrate the calculation method of photovoltaic derating factor:

[0096] S111: According to the prediction information of the weather forecast, select a sunny day for 15 consecutive days in the future, and clean the photovoltaic module once;

[0097] S121: Determine the rated capacity of the photovoltaic module according to the scale of the photovoltaic module;

[0098] S131: Record the power generation, light irradiation data, and surface temperature of the photovoltaic module on the i-th day after cleaning, and the collection time interval is 5 minutes;

[0099] S141: Calculate the photovoltaic derating factor f in different time periods on the i-th day a...

Embodiment 3

[0103] Taking the historical data of an 8000kW photovoltaic power station in Shanghai for 8 days (because it is rainy in Shanghai, 8 days are selected as the sample data, but not limited to 8 days, the sample data time can be appropriately extended according to the local climate conditions.) as the sample, the simulation verification of this cleaning Algorithm effectiveness.

[0104] (1) Read the power generation power and light irradiation intensity of the photovoltaic modules on the first day after cleaning, and the light irradiation intensity and photovoltaic power generation power curve on the first day after cleaning are as follows: Image 6 and Figure 7 shown;

[0105] (2) According to the intensity of light irradiation and the power of photovoltaic power generation, the average value of the first day constant h after cleaning is calculated to be 1.873;

[0106] (3) After recording and cleaning, the power generation and light irradiation data of photovoltaic modules f...

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Abstract

The technical proposal of the invention discloses a method for predicting a cleaning cycle of a photovoltaic module, comprising the following steps: S1, determining a photovoltaic derating factor; S2:determining the economic loss according to the photovoltaic derating factor, the cost of cleaning once, the number of uncleaned days, the photovoltaic price, and the number of full-time hours in a photovoltaic year; S3: determining the optimal cleaning period U according to the economic loss. Compare with a fixed cleaning period, the method obtains a cleaning period with minimum economic loss ofthe photovoltaic module through an optimized calculation method, and considers the influence of weather factors on the cleaning time of the photovoltaic module, so that the economic benefit is better.

Description

technical field [0001] The invention relates to the field of distributed energy resources, in particular to a method, system and storage device for predicting the cleaning cycle of photovoltaic modules. Background technique [0002] Dust accumulation will lead to a decrease in the power generation efficiency of photovoltaic modules. Cleaning photovoltaic modules is currently one of the most effective ways to improve the power generation efficiency of photovoltaic modules. At present, the cleaning method of the power station is cleaning at a fixed time or the head of the power station formulates a cleaning plan based on his experience, and the photovoltaic cleaning of the actual power station usually does not consider the influence of weather factors. If the photovoltaic power station is cleaned according to experience, the benefits of the power station will not reach the maximum The cost of cleaning is relatively high. If the amount of power generation loss caused by dust ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q10/06314G06Q50/06Y02P90/90Y04S10/50Y02E40/70
Inventor 刘娇娇章筠常悦
Owner SHANGHAI ELECTRIC DISTRIBUTED ENERGY TECH CO LTD
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