CN115333479A - Photovoltaic module dust shielding identification method - Google Patents

Photovoltaic module dust shielding identification method Download PDF

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CN115333479A
CN115333479A CN202211099371.0A CN202211099371A CN115333479A CN 115333479 A CN115333479 A CN 115333479A CN 202211099371 A CN202211099371 A CN 202211099371A CN 115333479 A CN115333479 A CN 115333479A
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photovoltaic module
output power
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dust
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CN115333479B (en
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阮佳阳
杨兆静
陈操
艾丽娜
张嗣勇
陈万喜
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Beijing Zhimeng Ict Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
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Abstract

The invention discloses a photovoltaic module dust shielding identification method. The method comprises the steps of collecting a plurality of illumination intensities with different intensities as illumination intensity set values after the photovoltaic module is cleaned, collecting and calculating initial temperature data and initial output power data of a certain photovoltaic module under different illumination intensities, collecting and calculating current temperature and output power data of the photovoltaic module when the current temperature and output power data are close to the illumination intensity set values at set days intervals, calculating temperature change characteristics, calculating output power change values caused by temperature changes, then calculating the reduction proportion of the output power caused by non-temperature factors, and judging the dust shielding degree of the upper side of the photovoltaic module. The invention can accurately reflect the dust shielding degree in different seasons by reducing the proportion; the image recognition technology is combined to carry out recognition from two dimensions, and then comprehensive output is carried out according to given weights, so that the accuracy can be further improved; and data support is provided for related personnel, and a cleaning operation plan can be formulated according to the data support.

Description

Photovoltaic module dust shielding identification method
Technical Field
The invention relates to the technical field of photovoltaic module dust shielding identification, in particular to a photovoltaic module dust shielding identification method.
Background
Solar energy utilization is more and more emphasized, related industries grow rapidly in the century, and the current energy problems and environmental problems can be solved. The photovoltaic module is used for converting solar energy into electric energy, the output power of the photovoltaic module is influenced by various factors, wherein aging and shielding of the photovoltaic module are main factors, the most serious shielding factor is dust shielding, and the dust accumulated on the upper side of the photovoltaic module can reduce the transmissivity of a photovoltaic cell panel, so that the power generation output power of the photovoltaic module is influenced; and the heat dissipation performance of the photovoltaic module is reduced, so that the photoelectric conversion efficiency of photovoltaic power generation is influenced, and the power generation output power is further reduced. In addition, certain dust containing oxides falls to the surface of the photovoltaic module, and rain dew can change the dust into acidic or alkaline substances, so that the solar panel has a certain corrosion effect, and the panel surface is uneven after long-term erosion, which is helpful for dust accumulation, increases diffuse reflection of sunlight, and makes the adverse effect on the photovoltaic module increasingly aggravated. The accessible removes the laying dust on the photovoltaic module to photovoltaic module cleaning operation, at present, owing to lack corresponding dirt and shelter from degree identification technology, can only rely on artifical inspection range estimation to judge, lacks corresponding data support, can't judge the influence degree that current dirt sheltered from, can not make reasonable cleaning operation planning, also does not benefit to monitoring management.
Disclosure of Invention
The invention aims to provide a photovoltaic module dust shielding identification method aiming at the defects in the prior art.
In order to achieve the purpose, the invention provides a photovoltaic module dust shielding identification method, which comprises the following steps:
after the photovoltaic modules are cleaned and dried, triggering to collect a plurality of illumination intensities with different intensities in a first set time period to serve as illumination intensity set values, and collecting initial temperature data of a certain photovoltaic module under different illumination intensities
Figure DEST_PATH_IMAGE001
Initial output voltage data
Figure 73729DEST_PATH_IMAGE002
And initial output current data
Figure DEST_PATH_IMAGE003
And according to the initial output voltage data
Figure 989732DEST_PATH_IMAGE002
And initial output current data
Figure 870750DEST_PATH_IMAGE003
Calculating initial output power data of the photovoltaic module under different illumination intensities
Figure 708256DEST_PATH_IMAGE004
Figure DEST_PATH_IMAGE005
Wherein i =1,2,3 … … N, N is the number of illumination intensities;
during the later period of operation of the photovoltaic module, the current illumination intensity is triggered and monitored at set day intervals, and when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, the current temperature data of the photovoltaic module is controlled and collected
Figure 25099DEST_PATH_IMAGE006
Output voltage data
Figure DEST_PATH_IMAGE007
And output current data
Figure 199204DEST_PATH_IMAGE008
And according to the output voltage data
Figure 497461DEST_PATH_IMAGE007
And output current data
Figure 25526DEST_PATH_IMAGE008
Calculating the current output power data of the photovoltaic module
Figure DEST_PATH_IMAGE009
Figure 270694DEST_PATH_IMAGE010
Calculating current temperature data of photovoltaic module
Figure 895710DEST_PATH_IMAGE006
Initial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set value
Figure DEST_PATH_IMAGE011
Temperature difference of
Figure 364869DEST_PATH_IMAGE012
Figure DEST_PATH_IMAGE013
According to the temperature difference
Figure 145061DEST_PATH_IMAGE014
Initial temperature data
Figure 849711DEST_PATH_IMAGE011
And calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module
Figure DEST_PATH_IMAGE015
According to the current output power data of the photovoltaic module
Figure 204601DEST_PATH_IMAGE009
Initial output power data corresponding to current illumination intensity
Figure 703715DEST_PATH_IMAGE016
And the value of the output power variation caused by the temperature variation
Figure 3109DEST_PATH_IMAGE015
Calculating the reduction ratio of output power caused by non-temperature factors
Figure DEST_PATH_IMAGE017
Figure 652396DEST_PATH_IMAGE018
According to the proportion of decrease in output power caused by non-temperature factors
Figure 189688DEST_PATH_IMAGE017
And outputting the dust shielding degree of the upper side of the photovoltaic module.
Further, the method also comprises the following steps:
when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, controlling and collecting image data of the current upper side of the photovoltaic module;
carrying out similarity matching on the current upper side image data of the photovoltaic module and the pre-stored image data of the photovoltaic module with various dust coverage amounts, and screening out the image data of the photovoltaic module with the highest similarity from similarity matching results;
obtaining pre-storedOutput power reduction proportion of screened image data of photovoltaic module under current dust coverage
Figure DEST_PATH_IMAGE019
Calculating the comprehensive output power reduction ratio
Figure 938332DEST_PATH_IMAGE020
Figure DEST_PATH_IMAGE021
Wherein a and b are respectively
Figure 190935DEST_PATH_IMAGE022
And
Figure DEST_PATH_IMAGE023
corresponding weights, and satisfy a + b =1;
according to the proportion of the total output power reduction
Figure 175071DEST_PATH_IMAGE024
And outputting the dust shielding degree of the upper side of the photovoltaic module.
Further, the pre-stored image data of the photovoltaic module with various dust covering amounts and the output power reduction ratio caused by the pre-stored image data
Figure DEST_PATH_IMAGE025
Obtained by the following method:
collecting voltage data and current data of a plurality of groups of test photovoltaic modules under dustless soil coverage in a second set time period, calculating test initial output power according to the voltage data and the current data of each group of test photovoltaic modules under dustless soil coverage, and then calculating a test initial power average value according to the test initial output power of all the test photovoltaic modules;
uniformly spreading dust with an initial set amount on a plurality of groups of test photovoltaic modules, and collecting voltage data and current data output by the test photovoltaic modules under the current dust coverage and image data on the upper side of the test photovoltaic modules under the current dust coverage;
gradually increasing the dust coverage of the upper side of the tested photovoltaic module, and acquiring voltage data and current data output by the tested photovoltaic module under the current dust coverage and image data of the upper side of the tested photovoltaic module under the dustless soil coverage after the dust coverage is increased;
calculating the output power of each test photovoltaic assembly under the current dust coverage according to the voltage data and the current data output by each group of test photovoltaic assemblies under the current dust coverage;
averaging the output power of all the tested photovoltaic modules under the same dust coverage amount, and calculating to obtain the output power reduction ratio under the dust coverage amount according to the average value of the output power of all the tested photovoltaic modules under the same dust coverage amount and the average value of the tested initial power;
and acquiring image data of the upper side of the test photovoltaic module closest to the average value of the output power under the dust coverage, and correspondingly storing the acquired image data and the output power reduction ratio under the dust coverage.
Further, the method also comprises the following steps:
setting a threshold value for lowering the comprehensive output power, and setting the ratio of the comprehensive output power to the lowering
Figure 832449DEST_PATH_IMAGE020
And when the output power is higher than the set comprehensive output power drop threshold value, outputting a cleaning reminding signal.
Further, the set interval of days is 3 to 5 days.
Further, if the difference value between the current illumination intensity and a certain illumination intensity set value exceeds a set threshold range, the illumination intensity is collected for one time at set time intervals until the difference value between the current illumination intensity and the certain illumination intensity set value is within the set threshold range.
Further, the values of a and b are both 0.5.
Has the beneficial effects that: the method comprises the steps of collecting a plurality of groups of temperature, output voltage and output current data under different illumination intensities after each cleaning operation, calculating initial output power under different illumination intensities, carrying out data collection once at set intervals in the later operation process of the photovoltaic module, and carrying out light intensity matching in the later operation process of data collection due to the fact that a plurality of groups of data under different illumination intensities are collected in advance, so that the output power under the same light condition can be calculated conveniently; the image recognition technology is combined to carry out recognition from two dimensions, and then comprehensive output is carried out according to given weights, so that the accuracy can be further improved; and data support is provided for related personnel, and a cleaning operation plan can be made according to the data support.
Drawings
Fig. 1 is a schematic flow chart of a photovoltaic module dust shielding identification method according to an embodiment of the present invention.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and specific examples, which are carried out on the premise of the technical solution of the present invention, and it should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for identifying dust blocking of a photovoltaic module, including:
after the photovoltaic modules are cleaned and dried, triggering to collect a plurality of illumination intensities with different intensities in a first set time period to serve as illumination intensity set values, and collecting initial temperature data of a certain photovoltaic module under different illumination intensities
Figure 345470DEST_PATH_IMAGE001
Initial output voltage data
Figure 760402DEST_PATH_IMAGE002
And initial output current data
Figure 344967DEST_PATH_IMAGE026
And according to the initial output voltage data
Figure 325692DEST_PATH_IMAGE002
And initial output current data
Figure 337510DEST_PATH_IMAGE026
Calculating initial output power data of the photovoltaic module under different illumination intensities
Figure 833214DEST_PATH_IMAGE027
Figure DEST_PATH_IMAGE028
Wherein i =1,2,3 … … N, N is the number of illumination intensities. The first set time period is selected to be a time at which the change of the light intensity is significant, which may be 9 a.m.:30 a.to 11 a.m., or 2 a.m.:30 a.to 4 a.m., and is selected to collect light intensities covering a wide range. After the first set time period is determined, the cleaning work of the photovoltaic module is required to be completed before the first set time period, and the drying time is reserved, so that the photovoltaic module is in a dry and clean state when collection is carried out. The triggering acquisition can be triggered manually, and during acquisition, acquisition can be performed at set time intervals, such as acquisition every 10 minutes or 20 minutes. The light intensity change can be continuously monitored, and the set light intensity difference is used for triggering the collection of the temperature, the output voltage and the output current of the photovoltaic module.
During the later period of operation of the photovoltaic module, the current illumination intensity is triggered and monitored at set day intervals, and when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, the current temperature data of the photovoltaic module is controlled to be acquired
Figure 303028DEST_PATH_IMAGE006
Output voltage data
Figure 403839DEST_PATH_IMAGE029
And output current data
Figure 258663DEST_PATH_IMAGE008
And according to the output voltage data
Figure 507242DEST_PATH_IMAGE029
And output current data
Figure 105713DEST_PATH_IMAGE008
Calculating the current output power data of the photovoltaic module
Figure DEST_PATH_IMAGE030
Figure 998714DEST_PATH_IMAGE031
When the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold value range, the current illumination intensity can be considered to be closer to the certain illumination intensity set value, and at the moment, the influence of the current illumination intensity and the certain illumination intensity set value on the output power of the photovoltaic module can be ignored. The set interval of days may be set according to actual needs, and the shorter the interval days, the higher the recognition frequency, and the longer the interval days, the lower the recognition frequency, and may be 3 to 5 days. The period of time that the monitoring is triggered is preferably in the morning and preferably at an intermediate point in time of the first set time period, which ensures that the collection is completed the day.
Calculating current temperature data of photovoltaic module
Figure 352335DEST_PATH_IMAGE006
Initial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set value
Figure 22963DEST_PATH_IMAGE011
Temperature difference of
Figure DEST_PATH_IMAGE032
Figure 956284DEST_PATH_IMAGE013
Obviously, the above initial temperature data
Figure 500529DEST_PATH_IMAGE033
As initial temperature data
Figure DEST_PATH_IMAGE034
The illumination intensity set value corresponding to the data is close to the current illumination intensity.
According to the current temperature data of the photovoltaic module
Figure 493893DEST_PATH_IMAGE006
Temperature difference of
Figure 389168DEST_PATH_IMAGE014
And calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module
Figure 657338DEST_PATH_IMAGE015
. Generally, when the temperature rises, the output power of the photovoltaic module decreases, and the specific decrease is related to the type of the photovoltaic module, for example, a crystalline silicon photovoltaic module which is currently in the market is one degree higher per liter, and the output power of the photovoltaic module decreases by about 0.38% to 0.44%. According to the current temperature data
Figure 383985DEST_PATH_IMAGE035
And initial temperature data
Figure 220354DEST_PATH_IMAGE011
The coefficient of decline, which is the difference between the above-mentioned coefficient of decline and the temperature, can be determined in this temperature section
Figure DEST_PATH_IMAGE036
The riding machine can calculate the output powerBy how much.
According to the current output power data of the photovoltaic module
Figure 661DEST_PATH_IMAGE009
Initial output power data corresponding to current illumination intensity
Figure 806943DEST_PATH_IMAGE016
And the value of the output power variation caused by the temperature variation
Figure 653676DEST_PATH_IMAGE015
Calculating the reduction ratio of output power caused by non-temperature factors
Figure 333050DEST_PATH_IMAGE017
Figure 327551DEST_PATH_IMAGE037
According to the proportion of decrease in output power caused by non-temperature factors
Figure 812890DEST_PATH_IMAGE017
The degree is sheltered from to the dirt of output photovoltaic module upside, and relevant personnel can shelter from the degree according to dirt and plan photovoltaic module's washing operation, if give when washing the operation just catch up with overcast and rainy weather, can not rinse the operation, the rainwater can have certain washing effect to laying dust to can't normally gather above-mentioned initial data after avoiding rinsing the operation. Proportion of decrease in output power due to non-temperature factors
Figure 514130DEST_PATH_IMAGE022
The corresponding relation with the shielding degree of dust can be set by self, such as 2% <
Figure 285777DEST_PATH_IMAGE017
Outputting light dust shielding when the content is less than or equal to 8 percent; e.g. 8% <
Figure 705257DEST_PATH_IMAGE017
Outputting medium dust shielding when the content is less than or equal to 14 percent; e.g. 14% <
Figure 725778DEST_PATH_IMAGE017
Outputting heavy dust shielding when the concentration is less than or equal to 20 percent. Proportion of decrease in output power due to non-temperature factors
Figure 609420DEST_PATH_IMAGE022
In 8% to 8%, light dust blocking is output, and it should be noted that, for the photovoltaic arrays arranged in the same area, the dust deposition amount on each photovoltaic module in the same environment is substantially the same, and a certain photovoltaic module for data acquisition is preferably pre-specified.
In order to further improve the identification accuracy, the embodiment of the invention further comprises:
and when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, controlling and collecting the image data of the current upper side of the photovoltaic module.
And performing similarity matching on the current upper side image data of the photovoltaic module and the pre-stored image data of the photovoltaic module with various dust covering amounts, and screening out the image data of the photovoltaic module with the highest similarity from the similarity matching result. When the amount of dust covered on the photovoltaic module is close, the color difference between the two is minimum, so the similarity is highest.
Acquiring the output power reduction proportion of the pre-stored screened image data of the photovoltaic module under the current dust coverage
Figure 958493DEST_PATH_IMAGE019
Calculating the comprehensive output power reduction ratio
Figure 537373DEST_PATH_IMAGE020
Figure 489149DEST_PATH_IMAGE021
Wherein a and b are respectively
Figure 102664DEST_PATH_IMAGE022
And
Figure 481693DEST_PATH_IMAGE023
corresponding weight, and satisfies a + b =1. a. The values of b are preferably 0.5. After calculating the comprehensive output power reduction ratio
Figure 610186DEST_PATH_IMAGE020
Then, the ratio of the output power can be decreased according to the total output power
Figure 975439DEST_PATH_IMAGE020
And judging the dust shielding degree of the upper side of the photovoltaic module.
The pre-stored image data of the photovoltaic module with various dust coverage and the output power reduction ratio caused by the image data
Figure DEST_PATH_IMAGE038
Obtained by the following method:
collecting voltage data and current data of a plurality of groups of test photovoltaic modules under dust-free soil coverage in a second set time period, calculating test initial output power according to the voltage data and the current data of each group of test photovoltaic modules under dust-free soil coverage, and then calculating a test initial power average value according to the test initial output power of all the test photovoltaic modules. Wherein, the second set period is preferably 11-12 at noon, and the change of the light intensity is small, and the experiment can be considered to be performed under the constant light intensity. The test photovoltaic modules can be selected from 5 to 8 groups.
Evenly spread the dust of initial set volume on the experimental photovoltaic module of multiunit, gather the voltage data and the current data of experimental photovoltaic module output under current dust cover volume to and the image data of experimental photovoltaic module upside under current dust cover volume.
Increase the dust coverage of experimental photovoltaic module upside one by one to increase dust coverage after, gather the voltage data and the electric current data of experimental photovoltaic module output under current dust coverage, and the image data of experimental photovoltaic module upside under dustless soil covers. The initial setting amount of dust is less than the dust accumulation amount of the interval days under the general condition, the dust covering amount increased each time can be set according to the actual requirement, and the dust covering amount after increasing for multiple times is preferably more than 2 to 3 times of the dust accumulation amount of the interval days under the general condition, so that a larger range can be covered as far as possible.
And calculating the output power of each test photovoltaic assembly under the current dust coverage according to the voltage data and the current data output by each group of test photovoltaic assemblies under the current dust coverage.
And averaging the output power of all the tested photovoltaic modules under the same dust coverage amount, and calculating to obtain the output power reduction proportion under the dust coverage amount according to the average value of the output power of all the tested photovoltaic modules under the same dust coverage amount and the average value of the tested initial power.
And acquiring image data of the upper side of the test photovoltaic module closest to the average value of the output power under the dust covering amount, and correspondingly storing the acquired image data and the output power reduction ratio under the dust covering amount.
The above description is only a preferred embodiment of the present invention, and it should be noted that other parts not specifically described are known in the art or common general knowledge to those skilled in the art. Without departing from the principle of the invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the scope of the invention.

Claims (7)

1.A photovoltaic module dust shielding identification method is characterized by comprising the following steps:
after the photovoltaic modules are cleaned and dried, triggering to collect a plurality of illumination intensities with different intensities in a first set time period to serve as illumination intensity set values, and collecting initial temperature data of a certain photovoltaic module under different illumination intensities
Figure 441067DEST_PATH_IMAGE001
Initial output voltage data
Figure 764732DEST_PATH_IMAGE002
And initial output current data
Figure 75628DEST_PATH_IMAGE003
And according to the initial output voltage data
Figure 205258DEST_PATH_IMAGE002
And initial output current data
Figure 225822DEST_PATH_IMAGE003
Calculating initial output power data of the photovoltaic module under different illumination intensities
Figure 782705DEST_PATH_IMAGE004
Figure 456263DEST_PATH_IMAGE005
Wherein i =1,2,3 … … N, N is the number of illumination intensities;
during the later period of operation of the photovoltaic module, the current illumination intensity is triggered and monitored at set day intervals, and when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, the current temperature data of the photovoltaic module is controlled and collected
Figure 186322DEST_PATH_IMAGE006
Output voltage data
Figure 261725DEST_PATH_IMAGE007
And output current data
Figure 786247DEST_PATH_IMAGE008
And according to the output voltage data
Figure 743839DEST_PATH_IMAGE009
And output current data
Figure 215272DEST_PATH_IMAGE008
Calculating the current output power data of the photovoltaic module
Figure 145182DEST_PATH_IMAGE010
Figure 106184DEST_PATH_IMAGE011
Calculating current temperature data of photovoltaic module
Figure 754335DEST_PATH_IMAGE006
Initial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set value
Figure 560616DEST_PATH_IMAGE012
Temperature difference of
Figure 610612DEST_PATH_IMAGE013
Figure 476937DEST_PATH_IMAGE014
According to the temperature difference
Figure 612383DEST_PATH_IMAGE015
Initial temperature data
Figure 222356DEST_PATH_IMAGE012
And calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module
Figure 123928DEST_PATH_IMAGE016
According to the current output power data of the photovoltaic module
Figure 426734DEST_PATH_IMAGE017
Initial output power data corresponding to current illumination intensity
Figure 49476DEST_PATH_IMAGE018
And the value of the output power variation caused by the temperature variation
Figure 463140DEST_PATH_IMAGE016
Calculating the reduction ratio of output power caused by non-temperature factors
Figure 222149DEST_PATH_IMAGE019
Figure 695855DEST_PATH_IMAGE020
According to the proportion of decrease in output power caused by non-temperature factors
Figure 540314DEST_PATH_IMAGE019
And outputting the dust shielding degree of the upper side of the photovoltaic module.
2. The photovoltaic module dust shielding identification method according to claim 1, further comprising:
when the difference value between the current illumination intensity and a certain illumination intensity set value is within a set threshold range, controlling and collecting image data of the current upper side of the photovoltaic module;
carrying out similarity matching on the current upper side image data of the photovoltaic module and the pre-stored image data of the photovoltaic module with various dust coverage quantities, and screening out the image data of the photovoltaic module with the highest similarity from similarity matching results;
obtaining pre-storedOutput power reduction proportion of screened image data of photovoltaic module under current dust coverage
Figure 492090DEST_PATH_IMAGE021
Calculating the comprehensive output power reduction ratio
Figure 371184DEST_PATH_IMAGE022
Figure 15792DEST_PATH_IMAGE023
Wherein a and b are respectively
Figure 347548DEST_PATH_IMAGE024
And
Figure 103014DEST_PATH_IMAGE025
corresponding weights, and satisfy a + b =1;
according to the proportion of the total output power reduction
Figure 571036DEST_PATH_IMAGE022
And outputting the dust shielding degree of the upper side of the photovoltaic module.
3. The method as claimed in claim 2, wherein the pre-stored image data of the photovoltaic module with multiple dust coverage and the output power reduction ratio caused by the pre-stored image data are
Figure 386545DEST_PATH_IMAGE026
Obtained by the following method:
collecting voltage data and current data of a plurality of groups of test photovoltaic modules under dustless soil coverage in a second set time period, calculating test initial output power according to the voltage data and the current data of each group of test photovoltaic modules under dustless soil coverage, and then calculating a test initial power average value according to the test initial output power of all the test photovoltaic modules;
uniformly spreading dust with an initial set amount on a plurality of groups of test photovoltaic modules, and collecting voltage data and current data output by the test photovoltaic modules under the current dust coverage and image data on the upper side of the test photovoltaic modules under the current dust coverage;
gradually increasing the dust coverage of the upper side of the tested photovoltaic module, and acquiring voltage data and current data output by the tested photovoltaic module under the current dust coverage and image data of the upper side of the tested photovoltaic module under the dustless soil coverage after the dust coverage is increased;
calculating the output power of each tested photovoltaic module under the current dust coverage according to the voltage data and the current data output by each tested photovoltaic module under the current dust coverage;
averaging the output power of all the tested photovoltaic modules under the same dust coverage amount, and calculating to obtain the output power reduction proportion under the dust coverage amount according to the average value of the output power of all the tested photovoltaic modules under the same dust coverage amount and the average value of the initial power of the tests;
and acquiring image data of the upper side of the test photovoltaic module closest to the average value of the output power under the dust covering amount, and correspondingly storing the acquired image data and the output power reduction ratio under the dust covering amount.
4. The photovoltaic module dust shielding identification method according to claim 2, further comprising:
setting a threshold value for lowering the comprehensive output power, and setting the ratio of the comprehensive output power to the lowering
Figure 533492DEST_PATH_IMAGE022
And when the output power is higher than the set comprehensive output power drop threshold, outputting a cleaning reminding signal.
5. The method for identifying dust blocking of photovoltaic module according to claim 1, wherein the set interval of days is 3 to 5 days.
6. The method for identifying dust blocking of a photovoltaic module according to claim 1, wherein if the difference between the current illumination intensity and a predetermined illumination intensity value exceeds a predetermined threshold range, the method performs an illumination intensity acquisition at predetermined time intervals until the difference between the current illumination intensity and a predetermined illumination intensity value is within the predetermined threshold range.
7. The method for identifying the dust shielding of the photovoltaic module according to claim 1, wherein the values of a and b are both 0.5.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116760349A (en) * 2023-06-12 2023-09-15 湖南格莱特新能源发展有限公司 Photovoltaic power generation equipment and control method thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170104450A1 (en) * 2015-10-08 2017-04-13 Research Cooperation Foundation Of Yeungnam University Method for evaluating performance of photovoltaic module, and system thereof
CN108537357A (en) * 2018-02-09 2018-09-14 上海电气分布式能源科技有限公司 Photovoltaic power generation quantity loss forecasting method based on derating factor
CN111614317A (en) * 2020-05-12 2020-09-01 国家电投集团江西电力有限公司 IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel
CN111953299A (en) * 2020-08-17 2020-11-17 合肥阳光新能源科技有限公司 Fault detection method, device and system of photovoltaic module
CN215186647U (en) * 2021-03-15 2021-12-14 西交利物浦大学 Device for simulating shadow shielding environment indoors and detecting output power of photovoltaic system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170104450A1 (en) * 2015-10-08 2017-04-13 Research Cooperation Foundation Of Yeungnam University Method for evaluating performance of photovoltaic module, and system thereof
CN108537357A (en) * 2018-02-09 2018-09-14 上海电气分布式能源科技有限公司 Photovoltaic power generation quantity loss forecasting method based on derating factor
CN111614317A (en) * 2020-05-12 2020-09-01 国家电投集团江西电力有限公司 IV curve scanning-based diagnosis method for shadow shielding of photovoltaic panel
CN111953299A (en) * 2020-08-17 2020-11-17 合肥阳光新能源科技有限公司 Fault detection method, device and system of photovoltaic module
CN215186647U (en) * 2021-03-15 2021-12-14 西交利物浦大学 Device for simulating shadow shielding environment indoors and detecting output power of photovoltaic system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116760349A (en) * 2023-06-12 2023-09-15 湖南格莱特新能源发展有限公司 Photovoltaic power generation equipment and control method thereof
CN116760349B (en) * 2023-06-12 2024-02-13 湖南格莱特新能源发展有限公司 Photovoltaic power generation equipment and control method thereof

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