CN115333479A - Photovoltaic module dust shielding identification method - Google Patents
Photovoltaic module dust shielding identification method Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- photovoltaic module
- output power
- data
- current
- dust
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000000428 dust Substances 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000005286 illumination Methods 0.000 claims abstract description 61
- 230000009467 reduction Effects 0.000 claims abstract description 20
- 230000008859 change Effects 0.000 claims abstract description 15
- 238000004140 cleaning Methods 0.000 claims abstract description 8
- 238000012360 testing method Methods 0.000 claims description 33
- 230000007423 decrease Effects 0.000 claims description 10
- 239000002689 soil Substances 0.000 claims description 9
- 230000001960 triggered effect Effects 0.000 claims description 5
- 230000000903 blocking effect Effects 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000007480 spreading Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000009825 accumulation Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 238000005406 washing Methods 0.000 description 3
- 238000000429 assembly Methods 0.000 description 2
- 230000000712 assembly Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000002378 acidificating effect Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 229910021419 crystalline silicon Inorganic materials 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Photovoltaic Devices (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
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
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 intensitiesInitial output voltage dataAnd initial output current dataAnd according to the initial output voltage dataAnd initial output current dataCalculating initial output power data of the photovoltaic module under different illumination intensities:
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 collectedOutput voltage dataAnd output current dataAnd according to the output voltage dataAnd output current dataCalculating the current output power data of the photovoltaic module:
Calculating current temperature data of photovoltaic moduleInitial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set valueTemperature difference of:
According to the temperature differenceInitial temperature dataAnd calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module;
According to the current output power data of the photovoltaic moduleInitial output power data corresponding to current illumination intensityAnd the value of the output power variation caused by the temperature variationCalculating the reduction ratio of output power caused by non-temperature factors:
According to the proportion of decrease in output power caused by non-temperature factorsAnd 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,
according to the proportion of the total output power reductionAnd 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 dataObtained 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 loweringAnd 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 intensitiesInitial output voltage dataAnd initial output current dataAnd according to the initial output voltage dataAnd initial output current dataCalculating initial output power data of the photovoltaic module under different illumination intensities:
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 acquiredOutput voltage dataAnd output current dataAnd according to the output voltage dataAnd output current dataCalculating the current output power data of the photovoltaic module:
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 moduleInitial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set valueTemperature difference of:
Obviously, the above initial temperature dataAs initial temperature dataThe illumination intensity set value corresponding to the data is close to the current illumination intensity.
According to the current temperature data of the photovoltaic moduleTemperature difference ofAnd calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module. 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 dataAnd initial temperature dataThe coefficient of decline, which is the difference between the above-mentioned coefficient of decline and the temperature, can be determined in this temperature sectionThe riding machine can calculate the output powerBy how much.
According to the current output power data of the photovoltaic moduleInitial output power data corresponding to current illumination intensityAnd the value of the output power variation caused by the temperature variationCalculating the reduction ratio of output power caused by non-temperature factors:
According to the proportion of decrease in output power caused by non-temperature factorsThe 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 factorsThe corresponding relation with the shielding degree of dust can be set by self, such as 2% <Outputting light dust shielding when the content is less than or equal to 8 percent; e.g. 8% <Outputting medium dust shielding when the content is less than or equal to 14 percent; e.g. 14% <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 factorsIn 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。
Wherein a and b are respectivelyAndcorresponding weight, and satisfies a + b =1. a. The values of b are preferably 0.5. After calculating the comprehensive output power reduction ratioThen, the ratio of the output power can be decreased according to the total output powerAnd 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 dataObtained 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 intensitiesInitial output voltage dataAnd initial output current dataAnd according to the initial output voltage dataAnd initial output current dataCalculating initial output power data of the photovoltaic module under different illumination intensities:
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 collectedOutput voltage dataAnd output current dataAnd according to the output voltage dataAnd output current dataCalculating the current output power data of the photovoltaic module:
Calculating current temperature data of photovoltaic moduleInitial temperature data corresponding to the photovoltaic module at the corresponding illumination intensity set valueTemperature difference of:
According to the temperature differenceInitial temperature dataAnd calculating the output power change value caused by temperature change according to the output power and temperature change characteristics of the photovoltaic module;
According to the current output power data of the photovoltaic moduleInitial output power data corresponding to current illumination intensityAnd the value of the output power variation caused by the temperature variationCalculating the reduction ratio of output power caused by non-temperature factors:
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,
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 areObtained 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:
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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211099371.0A CN115333479B (en) | 2022-09-09 | 2022-09-09 | Dust shielding identification method for photovoltaic module |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211099371.0A CN115333479B (en) | 2022-09-09 | 2022-09-09 | Dust shielding identification method for photovoltaic module |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115333479A true CN115333479A (en) | 2022-11-11 |
CN115333479B CN115333479B (en) | 2024-01-09 |
Family
ID=83930163
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211099371.0A Active CN115333479B (en) | 2022-09-09 | 2022-09-09 | Dust shielding identification method for photovoltaic module |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115333479B (en) |
Cited By (1)
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)
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 |
-
2022
- 2022-09-09 CN CN202211099371.0A patent/CN115333479B/en active Active
Patent Citations (5)
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)
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 |
Also Published As
Publication number | Publication date |
---|---|
CN115333479B (en) | 2024-01-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Meyer et al. | Assessing the reliability and degradation of photovoltaic module performance parameters | |
Gostein et al. | Accurately measuring PV soiling losses with soiling station employing module power measurements | |
CN108960453B (en) | Economic cleaning calculation method for dust deposition of photovoltaic power station | |
Luo et al. | Analysis of the long-term performance degradation of crystalline silicon photovoltaic modules in tropical climates | |
Catelani et al. | Characterization of photovoltaic panels: The effects of dust | |
CN108572011B (en) | Photovoltaic cell panel dust deposition state monitoring system based on machine vision and calculation method | |
Islam et al. | A comparative investigation on in-situ and laboratory standard test of the potential induced degradation of crystalline silicon photovoltaic modules | |
KR20090074107A (en) | Evaluation method | |
CN115333479A (en) | Photovoltaic module dust shielding identification method | |
CN108268028A (en) | The small watersheds and method of photovoltaic battery panel cleaning | |
CN112487609A (en) | Photovoltaic module cleaning time determining method and device | |
Ganesan et al. | Output power enhancement of a bifacial solar photovoltaic with upside down installation during module defects | |
Gochhait et al. | Application of IoT: a study on automated solar panel cleaning system | |
Yaichi et al. | Monitoring of PV systems installed in an extremely hostile climate in southern Algeria: Performance evaluation extended to degradation assessment of various PV panel of single-crystalline technologies | |
Segbefia et al. | Temperature profiles of field-aged multicrystalline silicon photovoltaic modules affected by microcracks | |
WO2023077840A1 (en) | Photovoltaic system in which assembly-level optimizer is installed in targeted manner, and power optimization method therefor | |
Leva et al. | Failures and defects in PV systems | |
Roy et al. | Programmable-logic-controller based robust automatic cleaning of solar panel for efficiency improvement | |
Badran et al. | A Comparative Study of Bifacial versus Monofacial PV Systems at the UK Largest Solar Plant | |
Chen et al. | Shedding light on the performance of solar panels: a data-driven view | |
CN111222763A (en) | Photovoltaic module washs decision-making instrument | |
Mitterhofer et al. | The Development of Thermal Coefficients of Photo-voltaic Devices | |
Costa et al. | Impact of Soiling Deposition on CdTe and Si PV Modules in Different Climate Zones in Brazil | |
De et al. | Improved shadow filtering and change-point detection methods to extract soiling loss from PV-SCADA data | |
Figgis et al. | Investigation of PV yield differences in a desert climate |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |