CN114329983A - Photovoltaic panel dust deposition cleaning device and method based on discrete element method - Google Patents
Photovoltaic panel dust deposition cleaning device and method based on discrete element method Download PDFInfo
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Abstract
A photovoltaic panel dust deposition cleaning device and method based on a discrete element method comprise data detection equipment and a data processing device; the data detection equipment is electrically connected to the data processing device; the data detection equipment detects the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device; the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel; the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation; the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
Description
Technical Field
The invention relates to the field of operation and maintenance of a solar photovoltaic panel power generation system, in particular to a photovoltaic panel dust deposition cleaning device and method based on a discrete element method.
Background
Photovoltaic power stations are usually located in open areas such as grassland and desert areas, and the open areas are located in areas surrounded by strong wind and sand dust, so that dust is easily accumulated on the surfaces, and the deposition of the dust can seriously affect the photovoltaic power generation efficiency and reduce the production capacity of the photovoltaic power stations. The existing photovoltaic panel dust deposition operation and maintenance system can only work singly according to the power generation efficiency, cannot analyze the panel dust deposition condition of the photovoltaic panel in real time, and has relatively low cleaning and maintenance effects. At present, the maintenance of a photovoltaic power station mainly depends on the working experience of workers, whether the photovoltaic power station has large-area dust accumulation or not is judged through the subjective observation of daily inspection, whether the photovoltaic power station needs to be cleaned by operation and maintenance personnel and the optimal cleaning force. The subjective inspection and cleaning of workers can neglect the optimal output power of the photovoltaic power station and the cost consumed by later operation and maintenance, and the real-time performance, the accuracy and the benefit cannot be realized.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a photovoltaic panel dust deposition cleaning device and method based on a discrete element method, which are used for analyzing the surface dust deposition condition of a photovoltaic panel in real time to obtain an optimized cleaning scheme, so that the photovoltaic panel is cleaned accurately in real time.
The purpose of the invention is realized by the following technical scheme:
a photovoltaic panel dust deposition cleaning device based on a discrete element method comprises data detection equipment and a data processing device;
the data detection equipment is electrically connected to the data processing device;
the data detection equipment detects environmental data of the photovoltaic power station and operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device; the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel; the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation; the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
Further, the data detection equipment comprises a photovoltaic meteorological device and a photovoltaic panel surface data information detection device;
the photovoltaic meteorological device is used for acquiring environmental data of the photovoltaic power station;
the photovoltaic panel surface data information detection device is used for acquiring operation data of the photovoltaic panel surface.
Further, the photovoltaic meteorological device comprises a meteorological detection device and an air quality detector;
the weather detection device is used for acquiring on-site weather environment data of the photovoltaic power station; the photovoltaic power station field meteorological environment data comprise photovoltaic panel surface irradiance, temperature, humidity, wind speed and wind direction;
the weather detection device includes: irradiance tester, temperature sensor, humidity sensor, wind speed sensor and wind direction sensor;
the air quality detector is used for acquiring the particle concentration of the environment around the photovoltaic panel.
Further, the photovoltaic panel surface data information detection device comprises a dust particle counter, an angle measuring instrument, an I/V testing device and a visible light camera;
the dust particle counter is used for detecting the particle size of dust particles on the surface of the photovoltaic panel and the scattering degree of the dust particles on the irradiation of light in the environment;
the angle measuring instrument is used for detecting the inclination angle of the surface of the photovoltaic panel;
the I/V testing device is used for acquiring electrical data of the photovoltaic panel;
the visible light camera is used for acquiring the dust deposition distribution image of the photovoltaic panel.
A photovoltaic panel dust deposition cleaning method based on a discrete element method comprises the following steps:
s1: the data detection equipment detects the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device;
s2: the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel;
s3: the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation;
s4: the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
Further, the step S2 includes the following sub-steps:
s201: establishing a contact model between dust particles and a photovoltaic panel;
s202: analyzing the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface, determining the physical characteristic parameter values and the parameter distribution characteristics of the particles and the photovoltaic panel surface, and introducing the physical characteristic parameter values and the parameter distribution characteristics of the particles and the photovoltaic panel surface into a contact model between the dust particles and the photovoltaic panel.
Further, the step S3 includes the following sub-steps:
s301: simulating the distribution and movement mode of dust particles on the surface of the photovoltaic panel by adopting a discrete element method through a contact model between the dust particles and the photovoltaic panel;
s302: and (3) building an entity experiment platform, and verifying and adjusting the distribution of dust particles on the surface of the photovoltaic panel and the simulation of the movement mode through an entity experiment.
Further, the step S4 includes the following sub-steps:
s401: obtaining the acting force and the moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate;
s402: and obtaining an optimized cleaning scheme by calculation according to the acting force and the moment between the dust particles and the photovoltaic panel and by combining the operation data of the photovoltaic panel.
The invention has the beneficial effects that:
the method comprises the steps of analyzing the dust deposition condition of the surface of the photovoltaic panel in real time to obtain an optimized cleaning scheme, so that the photovoltaic panel can be cleaned accurately in real time.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a graph of the distribution of dust particles on the surface of a photovoltaic panel;
fig. 3 is a diagram of the movement locus of a single dust particle.
In the figure, 2-a temperature sensor, 3-a humidity sensor, 4-a wind speed sensor, 5-a wind direction sensor, 6-a dust particle counter, 7-an angle measuring instrument, 8-a visible light camera, 9-an I/V curve tester, 10-a data acquisition card, 11-an air quality detector, 12-an upper computer and 13-a cleaning carrier.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The first embodiment is as follows:
as shown in fig. 1 to 3, a photovoltaic panel deposition cleaning device based on a discrete element method comprises a data detection device and a data processing device;
the data detection equipment is electrically connected to the data processing device;
the data detection equipment detects environmental data of the photovoltaic power station and operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device; the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel; the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation; the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
The data processing device is an upper computer 12.
The data detection equipment comprises a photovoltaic meteorological device and a photovoltaic panel surface data information detection device;
the photovoltaic meteorological device is used for acquiring environmental data of the photovoltaic power station;
the photovoltaic panel surface data information detection device is used for acquiring operation data of the photovoltaic panel surface.
The photovoltaic meteorological device comprises a meteorological detection device and an air quality detector 11;
the weather detection device is used for acquiring on-site weather environment data of the photovoltaic power station; the photovoltaic power station field meteorological environment data comprise photovoltaic panel surface irradiance, temperature, humidity, wind speed and wind direction;
the weather detection device includes: irradiance tester, temperature sensor 2, humidity sensor 3, wind speed sensor 4 and wind direction sensor 5.
The irradiance tester is used for detecting solar irradiance under the sunshine condition; the temperature sensor 2 is used for detecting the ambient temperature; the humidity sensor 3 is used for detecting the ambient humidity; the wind speed sensor 4 is used for detecting the ambient wind speed around the photovoltaic panel; and the wind direction sensor 5 is used for detecting the wind direction of the surrounding environment of the photovoltaic panel.
The meteorological detection device is supplied with energy by a photovoltaic cell panel.
The air quality detector 11 is used for acquiring the particle concentration of the environment around the photovoltaic panel; the particle concentration includes dust concentration and PM 2.5/10.
Micrometer-sized particles in the air which cannot be observed by naked eyes are detected by PM 2.5/10.
The photovoltaic panel surface data information detection device comprises a dust particle counter 6, an angle measuring instrument 7, an I/V testing device and a visible light camera 8;
the dust particle counter 6 is used for detecting the particle size of dust particles on the surface of the photovoltaic panel and the scattering degree of the dust particles to the irradiation of light in the environment;
the angle measuring instrument 7 is used for detecting the inclination angle of the surface of the photovoltaic panel;
the I/V testing device comprises an I/V curve tester 9 and a data acquisition card 10;
the I/V testing device is used for acquiring electrical data of the photovoltaic panel; the photovoltaic panel electrical data comprises photovoltaic panel surface operating current data, photovoltaic panel surface operating voltage data and power;
the I/V curve tester 9 comprises a voltmeter and an ammeter, and the voltmeter and the ammeter respectively detect the panel surface operation voltage data and the panel surface operation current data of the photovoltaic panel;
the photovoltaic panel electrical data is collected and transmitted to the data acquisition card 10.
The visible light camera 8 is used for acquiring an image of the dust deposition distribution of the photovoltaic panel.
A photovoltaic panel dust deposition cleaning method based on a discrete element method comprises the following steps:
s1: the data detection equipment detects the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device;
s2: the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel;
s201: establishing a contact model between dust particles and a photovoltaic panel;
establishing a contact model between the dust particles and the photovoltaic panel based on contact characteristics between the dust particles and the photovoltaic panel, including: setting global variables, defining prototype particles, defining a geometric model, setting a simulation area and a dynamic particle factory;
the following simulation settings are performed when establishing a contact model between dust particles and a photovoltaic panel: setting time step length, simulation time, grid size, collision judgment and elastic judgment;
the distribution and the particles of the dust deposited on the photovoltaic panel can be efficiently simulated by establishing a contact model between the dust particles and the photovoltaic panel.
S202: analyzing environmental data of a photovoltaic power station and operation data of a photovoltaic panel surface, determining physical characteristic parameter values and parameter distribution characteristics of particles and the photovoltaic panel surface, and introducing the physical characteristic parameter values and the parameter distribution characteristics of the particles and the photovoltaic panel surface into a contact model between dust particles and a photovoltaic panel;
the physical characteristic parameter values and the parameter distribution characteristics comprise: photovoltaic panel surface physical property parameter values (such as friction, modulus of elasticity, shear modulus, and poisson's ratio);
the parameter distribution characteristics of the particles are obtained by shooting an image of the soot distribution of the photovoltaic panel with the visible light camera 8.
S3: the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation;
s301: simulating the distribution and movement mode of dust particles on the surface of the photovoltaic panel by adopting a discrete element method through a contact model between the dust particles and the photovoltaic panel;
firstly, establishing a calculation model for separating the adhered particles from the surface of the photovoltaic panel,
the method comprises the following steps: setting parameters, physics and material attributes in a material database; directly creating particles, defining prototype particles, defining geometry, importing a particle template, defining particle characteristics, setting simulation areas, creating a particle factory, and defining the position, time and mode of particle generation in simulation.
Simulating the distribution and movement mode of dust particles on the surface of the photovoltaic panel by adopting a discrete element method;
the method comprises the following steps: setting the value range and the simulation time of the time step length, defining proper grid size, carrying out simulation experiments, carrying out data analysis in the post-processing of simulation software, observing the whole simulation process in an animation mode, exporting the analyzed data, generating screenshots at any representative moment, and storing the pictures.
Entering a simulation calculation process: first, a time step and a simulation time are set, Rayleigh time step:
in the formula: r is the particle radiusρ is density, G is shear modulus, G ═ 2 × 10-6(ii) a v is poisson's ratio, and v is 0.4.
The total simulation time is calculated from the values.
S302: building an entity experiment platform, and verifying and adjusting the distribution of dust particles on the surface of the photovoltaic panel and the simulation of the movement mode through an entity experiment;
the effect that dust particles are separated from the surface of the photovoltaic panel is verified through the experiment by utilizing the establishment of an entity experiment platform.
An entity experiment platform is built, an experiment image is shot by a visible light camera 8 according to an experiment result, the simulation image is compared with the experiment image, the reliability of the simulation experiment is verified, theoretical reference is provided for later operation and maintenance work of the photovoltaic panel, the reliability is higher, the applicability is wider, the distribution of dust particles on the surface of the photovoltaic panel and the simulation of the motion mode are adjusted, and the accuracy is improved.
S4: the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
S401: and obtaining the acting force and the moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate.
And establishing a data analysis interface, observing a simulation result by a post-processor of the EDEM data analysis module based on a discrete element method, observing simulation animation, drawing a chart and outputting data to obtain the acting force and the moment between the dust particles and the photovoltaic panel.
The acting force between the dust particles and the photovoltaic plate comprises normal phase force between the particles and the photovoltaic plate, normal phase damping force between the particles and the photovoltaic plate, tangential force between the particles and the photovoltaic plate and tangential damping force between the particles and the photovoltaic plate.
Normal force between particles and photovoltaic panel F:
in the formula: e*Is the equivalent young's modulus of the polymer,
alpha is the normal phase overlapping amount, alpha is R-R, R is the particle radius, and R is the distance between the spherical center and the plate; γ is surface energy, γ is 0.1; wherein EiEj、γiγjKnown are the elastic modulus, poisson's ratio, of the contact sphere and the photovoltaic panel, respectively.
The normal force depends on the overlap delta, the interaction parameter and the surface energy gamma.
Normal damping force F between particles and photovoltaic paneln d：
In the formula: m is the mass of the particles;
the normal phase component of the relative speed is determined according to the angle of the photovoltaic panel, and the relative speed v is 0.24 mm/s; snIn order to achieve the normal phase stiffness,
relation of beta and e
Tangential force F between particles and photovoltaic panelt：
Ft＝-Stδ
In the formula: stIs the stiffness in the tangential direction and is,
G*is the equivalent shear modulus of the polymer,
γiγjpoisson's ratio for the contact sphere and the photovoltaic panel, respectively; g1、G2Respectively shear modulus.
Phase-cut damping force F between particles and photovoltaic panelt d：
In the formula: m is the mass of the particles;
the relative tangential velocity is obtained, the relative velocity v is 0.24mm/s, and the normal phase component is determined according to the angle of the photovoltaic panel; stIs the stiffness in the tangential direction and is,
relation of beta and e
S402: according to the acting force and the moment between the dust particles and the photovoltaic panel, an optimized cleaning scheme is obtained through calculation by combining the operation data of the photovoltaic panel;
the optimized cleaning scheme is used for reducing the acting force between dust particles and photovoltaic panels while optimizing the power generation efficiency, so that the available energy is maximized.
The optimized cleaning protocol includes an optimal cleaning cycle and cleaning force.
Therefore, the force required by later operation and maintenance for ash removal is minimized, the cost consumed by operation and maintenance is minimized, and the energy optimization is achieved.
The calculation formula of the available energy is as follows:
Wmax＝P(I、V、S、η、Q)·T-F(W、R、γ、E、ν)·s
wherein W is wind speed, R is particle radius, gamma is surface energy, E is Young modulus, V is Poisson' S ratio, S is distance, I is photovoltaic panel surface operating current, V is photovoltaic panel surface operating voltage, S is photovoltaic panel surface area, eta is photovoltaic power generation conversion efficiency, and Q is solar irradiance.
Photovoltaic power generation is related to a plurality of factors, mainly including solar irradiance Q, photovoltaic panel area S, temperature T, wind speed W, photovoltaic power generation conversion efficiency η, and the like, and the maximum output power of a photovoltaic cell is:
Pmax＝ηSQ[1-0.0489(T+24)]
s5: the data processing means drive the cleaning of the carrier 13 according to the optimized cleaning protocol.
When the situation that the deposition of dust in a certain area needs to be cleaned is detected, a cleaning instruction is sent to the cleaning carrier 13 of the photovoltaic panel according to the optimized cleaning scheme, the cleaning carrier 13 is guided to comprise the cleaning force and the cleaning area, systematic regional management is formed, and operation and maintenance work such as cleaning of the photovoltaic module in the later period under the condition of optimal output power is efficiently completed.
The method has the advantages that the complex dynamics problem of dust adhesion on the surface of the photovoltaic panel is analyzed and solved by means of a discrete element method, the method is accurate in positioning, real-time in detection and high in reliability, the characteristics of the dust deposition mechanism on the surface of the photovoltaic panel under different conditions can be simulated, the problems of large detection error, insufficient cleaning force, excessive cleaning and the like in manual cleaning of the photovoltaic power station are solved, and the high efficiency and the energy saving performance of operation and maintenance of the photovoltaic panel are realized.
The photovoltaic board dust deposition state real-time monitoring system can be used for real-time monitoring of the dust deposition states of various large photovoltaic power stations, the cleaning cycle is guided, the utilization rate of the photovoltaic board to energy is improved, the later-stage operation and maintenance cost is reduced, the problem that the existing photovoltaic board dust deposition operation and maintenance system can only work singly according to the power generation efficiency and cannot analyze the dust deposition conditions of the surface of the photovoltaic board in real time is solved, and the cleaning and maintenance functions are relatively low.
And (4) analyzing the dust deposition condition of the surface of the photovoltaic panel in real time to obtain an optimized cleaning scheme.
The system logic is clear, and operation and maintenance loss can be reduced on the premise of greatly improving the power generation efficiency by collecting data, transmitting data, simulating and analyzing data and systematically and regionally guiding and cleaning.
The device and the method are applied and installed on each photovoltaic panel of a photovoltaic power station, when the situation that dust deposition in a certain area needs to be cleaned is detected, a cleaning instruction is sent to a cleaning carrier 13 of the photovoltaic panel to guide the cleaning carrier 13, and systematic management is formed.
Based on the accurate monitoring of the distribution of photovoltaic board surface deposition based on discrete element method, through setting up photovoltaic board deposition on-line monitoring system, combine current-voltage and power electrical data, carry out real-time supervision to the output state and the generating efficiency of photovoltaic board, can wash regional and the size of the cohesion of dust and board by effectual prediction, for photovoltaic board later stage fortune dimension work provides theoretical reference, more reliable, the suitability is more extensive.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (8)
1. The utility model provides a photovoltaic board deposition cleaning device based on discrete element method which characterized in that: the device comprises a data detection device and a data processing device;
the data detection equipment is electrically connected to the data processing device;
the data detection equipment detects environmental data of the photovoltaic power station and operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device; the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel; the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation; the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
2. The photovoltaic panel dust deposition cleaning device based on the discrete element method as claimed in claim 1, wherein: the data detection equipment comprises a photovoltaic meteorological device and a photovoltaic panel surface data information detection device;
the photovoltaic meteorological device is used for acquiring environmental data of the photovoltaic power station;
the photovoltaic panel surface data information detection device is used for acquiring operation data of the photovoltaic panel surface.
3. The photovoltaic panel dust deposition cleaning device based on the discrete element method as claimed in claim 2, wherein: the photovoltaic meteorological device comprises a meteorological detection device and an air quality detector;
the weather detection device is used for acquiring on-site weather environment data of the photovoltaic power station; the photovoltaic power station field meteorological environment data comprise photovoltaic panel surface irradiance, temperature, humidity, wind speed and wind direction;
the weather detection device includes: irradiance tester, temperature sensor, humidity sensor, wind speed sensor and wind direction sensor;
the air quality detector is used for acquiring the particle concentration of the environment around the photovoltaic panel.
4. The photovoltaic panel dust deposition cleaning device based on the discrete element method as claimed in claim 2, wherein: the photovoltaic panel surface data information detection device comprises a dust particle counter, an angle measuring instrument, an I/V testing device and a visible light camera;
the dust particle counter is used for detecting the particle size of dust particles on the surface of the photovoltaic panel and the scattering degree of the dust particles on the irradiation of light in the environment;
the angle measuring instrument is used for detecting the inclination angle of the surface of the photovoltaic panel;
the I/V testing device is used for acquiring electrical data of the photovoltaic panel;
the visible light camera is used for acquiring the dust deposition distribution image of the photovoltaic panel.
5. A photovoltaic panel dust deposition cleaning method based on a discrete element method is characterized by comprising the following steps: the method comprises the following steps:
s1: the data detection equipment detects the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface to obtain detection data and uploads the detection data to the data processing device;
s2: the data processing device adopts the detection data to establish and perfect a contact model between the dust particles and the photovoltaic panel;
s3: the data processing device carries out simulation on the distribution and the movement mode of the dust particles on the surface of the photovoltaic panel based on a discrete element method according to a contact model between the dust particles and the photovoltaic panel, and verifies and adjusts the simulation;
s4: the data processing device obtains acting force and moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate, and obtains an optimized cleaning scheme through calculation by combining operation data of the photovoltaic plate surface.
6. The method for cleaning the dust deposition of the photovoltaic panel based on the discrete element method as claimed in claim 5, wherein the method comprises the following steps: the step S2 includes the following sub-steps:
s201: establishing a contact model between dust particles and a photovoltaic panel;
s202: analyzing the environmental data of the photovoltaic power station and the operation data of the photovoltaic panel surface, determining the physical characteristic parameter values and the parameter distribution characteristics of the particles and the photovoltaic panel surface, and introducing the physical characteristic parameter values and the parameter distribution characteristics of the particles and the photovoltaic panel surface into a contact model between the dust particles and the photovoltaic panel.
7. The method for cleaning the dust deposition of the photovoltaic panel based on the discrete element method as claimed in claim 5, wherein the method comprises the following steps: the step S3 includes the following sub-steps:
s301: simulating the distribution and movement mode of dust particles on the surface of the photovoltaic panel by adopting a discrete element method through a contact model between the dust particles and the photovoltaic panel;
s302: and (3) building an entity experiment platform, and verifying and adjusting the distribution of dust particles on the surface of the photovoltaic panel and the simulation of the movement mode through an entity experiment.
8. The method for cleaning the dust deposition of the photovoltaic panel based on the discrete element method as claimed in claim 5, wherein the method comprises the following steps: the step S4 includes the following sub-steps:
s401: obtaining the acting force and the moment between the dust particles and the photovoltaic plate through a contact model and simulation between the dust particles and the photovoltaic plate;
s402: and obtaining an optimized cleaning scheme by calculation according to the acting force and the moment between the dust particles and the photovoltaic panel and by combining the operation data of the photovoltaic panel.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115861855A (en) * | 2022-12-15 | 2023-03-28 | 福建亿山能源管理有限公司 | Operation and maintenance monitoring method and system for photovoltaic power station |
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