CN106067491B - The optimization method and system of photovoltaic module power - Google Patents

Abstract

The present invention relates to a method and system for optimizing the power of a photovoltaic module. The method includes: sequentially obtaining the photovoltaic components required in the packaging process of the photovoltaic modules; obtaining the component parameters of the photovoltaic components; corresponding component parameters in the encapsulation process; assign corresponding photovoltaic components according to the component parameters. The invention can effectively increase the CTM of the photovoltaic module and increase the power generation of the photovoltaic module.

Description

Photovoltaic module power optimization method and system

technical field

The invention relates to the field of photovoltaics, in particular to a method and system for optimizing the power of a photovoltaic module.

Background technique

The core of the photovoltaic module packaging process is to increase CTM (cell to module loss, unit module loss). The CTM value is equal to the ratio of the power of the module to the total power of the cells used in a module. The larger the CTM, the smaller the packaging loss. The goal of packaging is to reduce optical and electrical losses and increase CTM.

Conventional technical means are mainly to optimize the coordination between materials during packaging. For example, the refractive index matching between packaging materials, spectral transmittance and cell QE response matching, cell current gear matching, battery string current gear matching, cell and ribbon thickness matching (crack loss) and circuit Resistance loss of connecting materials, etc.

The common method is to artificially optimize the coordination between materials during the packaging process, but manual optimization takes a long time, is difficult to operate, and the accuracy is not high, resulting in a small increase in the optimized CTM.

Contents of the invention

Based on this, it is necessary to provide a method and system for optimizing the power of a photovoltaic module, which increases the CTM during the packaging process to increase the power generation of the photovoltaic module.

A method for optimizing the power of a photovoltaic module, comprising:

Obtaining the photovoltaic components required in the packaging process of the photovoltaic modules in turn;

Obtaining component parameters of the photovoltaic component;

Detecting corresponding component parameters during the packaging process of the photovoltaic component;

The corresponding photovoltaic components are assigned according to the assembly parameters.

In one of the embodiments, the optimization method also includes:

The corresponding photovoltaic components are pre-arranged sequentially according to the packaging process of the photovoltaic module.

In one of the embodiments, the obtaining the component parameters of the photovoltaic components includes:

By reading the component parameters of the photovoltaic component described in the QR code; or

The component parameters are downloaded from a database storing the component parameters.

In one of the embodiments, the detection of corresponding component parameters in the packaging process of the photovoltaic component includes:

Flowing the photovoltaic component into a component parameter detection device that is pre-integrated into the photovoltaic component packaging process to detect component parameters of the photovoltaic component; or

The photovoltaic components are flowed into a pipeline with preset sampling frequency and circuits to detect component parameters of the photovoltaic components.

In one of the embodiments, the allocation of corresponding photovoltaic components according to component parameters includes:

matching a data model corresponding to said component parameters;

Obtaining the optimal combination of photovoltaic components through the data model;

Allocating the photovoltaic components for packaging according to the combination of photovoltaic components.

The power optimization method of photovoltaic modules described above obtains photovoltaic components and corresponding component parameters sequentially during the packaging process, detects the component parameters of the corresponding packaged components during the packaging process, and allocates photovoltaic components according to the component parameters, so that the final packaged photovoltaic components The power of the modules reaches the best effect, which effectively increases the CTM of the photovoltaic modules and increases the power generation of the photovoltaic modules.

A photovoltaic module power optimization system, comprising:

A component acquisition module, used to sequentially acquire the photovoltaic components required in the packaging process of the photovoltaic module;

A parameter acquisition module, configured to acquire component parameters of the photovoltaic component;

A parameter detection module, configured to detect corresponding component parameters in the packaging process of the photovoltaic component;

An allocation module, configured to allocate corresponding photovoltaic components according to the component parameters.

In one of the embodiments, it also includes:

The preset module is used to pre-arrange corresponding photovoltaic components in sequence according to the packaging process of photovoltaic modules.

In one of the embodiments, the parameter acquisition module reads the component parameters of the photovoltaic component from the two-dimensional code, or downloads the component parameters from a database storing the component parameters.

In one of the embodiments, the parameter detection module detects the corresponding component parameters in the packaging process of the photovoltaic component including:

Flowing the photovoltaic component into a component parameter detection device that is pre-integrated into the photovoltaic component packaging process to detect component parameters of the photovoltaic component; or

The photovoltaic components are flowed into a pipeline with preset sampling frequency and circuits to detect component parameters of the photovoltaic components.

In one of the embodiments, the allocation module includes:

a model matching unit, configured to match the data model corresponding to the component parameters;

A combination obtaining unit, configured to obtain an optimal combination of photovoltaic components through the data model;

An allocating unit, configured to allocate the photovoltaic components for packaging according to the combination of photovoltaic components.

The photovoltaic module power optimization system described above sequentially obtains photovoltaic components and corresponding component parameters during the packaging process, detects the component parameters of the corresponding packaged components during the packaging process, and allocates photovoltaic components according to the component parameters, so that the final packaged photovoltaic components The power of the modules reaches the best effect, which effectively increases the CTM of the photovoltaic modules and increases the power generation of the photovoltaic modules.

Description of drawings

Fig. 1 is a schematic flow chart of an embodiment of a photovoltaic module power optimization method;

FIG. 2 is a schematic flow chart of step S180 in FIG. 1;

Fig. 3 is a structural schematic diagram of an optimization system for power of a photovoltaic module according to an embodiment;

FIG. 4 is a schematic structural diagram of the allocation module 180 in FIG. 3 .

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

As shown in FIG. 1 , a method for optimizing power of a photovoltaic module according to an embodiment includes steps S120 to S180 .

Step S120, sequentially obtaining photovoltaic components required in the packaging process of photovoltaic modules;

Step S140, obtaining component parameters of the photovoltaic component;

Step S160, detecting the corresponding component parameters in the packaging process of the photovoltaic component;

Step S180, allocate corresponding photovoltaic components according to component parameters.

The power optimization method of photovoltaic modules described above obtains photovoltaic components and corresponding component parameters sequentially during the packaging process, detects the component parameters of the corresponding packaged components during the packaging process, and allocates photovoltaic components according to the component parameters, so that the final packaged photovoltaic components The power of the modules reaches the best effect, which effectively increases the CTM of the photovoltaic modules and increases the power generation of the photovoltaic modules.

In the entire packaging process of photovoltaic modules, in order to realize the automatic packaging process, it is necessary to pre-arrange the photovoltaic components required in the packaging process, such as placing them on the conveyor belt in the order used in the packaging process. For this reason, before step S120 is performed, corresponding photovoltaic components need to be arranged sequentially in advance according to the packaging process of photovoltaic modules.

When this embodiment is implemented, in the packaging process, for the obtained photovoltaic component, its own parameters need to be obtained. Usually, for some components in photovoltaic modules, such as cells, suppliers have the ability to conduct a full inspection of these materials and can provide comprehensive parameters. Therefore, usually when the supplier sorts the packaging, the information of materials such as battery sheets can be entered into the QR code in sequence according to the order of placement, and printed on the packaging. When these raw materials are put into storage, the relationship between these two-dimensional code information, batch number, storage location, and quantity can be entered into the database together. For materials with a large amount of information, such as the full-spectrum transmittance curve of glass, etc., usually the full-spectrum transmittance curve of Yituo glass cannot be entered on a two-dimensional code. When this embodiment is implemented, the supplier can According to the order number, the information is entered into the database such as the terminal. When the incoming material is put into the warehouse, the information can be downloaded to the database through the cloud according to the identification code such as the order number.

Therefore, when the component parameters of the photovoltaic components are obtained in the step S140, the component parameters of the photovoltaic components may be read through the two-dimensional code; or the component parameters may be downloaded from the database storing the component parameters. It can be known that, the method for obtaining component parameters described above in this embodiment is only a preferred implementation method adopted by this embodiment according to the actual packaging process, and other optional implementation methods will not be described in this embodiment.

In the packaging process of photovoltaic modules, it is also necessary to detect some component parameters of the corresponding semi-finished photovoltaic modules during the packaging process. Only when these component parameters meet the optimization conditions can the next step of the packaging process be entered to improve the CTM of photovoltaic modules. For example, in the packaging process, it is necessary to detect the light transmittance (or reflectance) of the glass, the resistivity of the photovoltaic module, and the degree of cross-linking of EVA. For this reason, when the present embodiment is implemented, corresponding detection equipment, such as light transmittance (reflectance) testing equipment, resistivity testing equipment, EVA crosslinking degree testing equipment (thermal monitoring), etc., can be directly incorporated into the production line, or Realize the sharing of laboratory equipment and production line, and finally access the control system of the equipment to read the test data. As another preferred method of this embodiment, it can also be realized by increasing the assembly line, setting the sampling frequency and lines of the assembly line at the same time, flowing the photovoltaic modules to be tested into the laboratory, and returning to the production line after the test is completed. For example, for off-line EVA cross-linking degree test (xylene), set cross-linking degree sample making plan, flow the prepared samples into the laboratory, and enter the system.

For this reason, when the corresponding component parameters in the packaging process of the photovoltaic components are detected through step S160 of this embodiment, the component parameters of the photovoltaic components can be detected by the component parameter detection device which is pre-incorporated into the photovoltaic component packaging process of the photovoltaic components; or Flow the photovoltaic modules into the assembly line with preset sampling frequency and lines to detect the component parameters of the photovoltaic modules.

In this embodiment, for some component parameters, existing equipment may also be improved to detect component parameters. For example, for the thickness and width of the ribbon that needs to be detected during the packaging process of photovoltaic modules, the measuring device for the thickness and width of the ribbon can be directly incorporated into the stringer, and through the resistance method structure (the height of the mercury column varies with the ribbon When the thickness changes, the thickness of the welding strip is obtained according to the change of resistance) or the capacitance method structure (one active electrode of the capacitor changes with the change of the thickness of the welding strip, and the thickness of the welding strip can be measured) for measurement. The measured parameters can be entered into the control system in real time. Compared with the discrete data obtained by conventional testing methods, the data measured in this embodiment are more accurate, and can also monitor the bow shape of the cells after serial welding (the bow of the cells is determined by the battery Sheets, ribbons and welding process parameters), through the size of the deformation to prevent hidden cracks and fragments in the lamination process of cells.

For the component parameters obtained in step S160, through step S180, specific photovoltaic components can be assigned to perform the packaging process according to the component parameters, so as to optimize the packaging process and reduce packaging loss. As shown in FIG. 2, step S180 includes step S181 to step S183.

Step S181, matching the data model corresponding to the component parameters;

Step S182, obtaining the optimal combination of photovoltaic components through the data model;

In step S183, the photovoltaic components are allocated for packaging according to the combination of photovoltaic components.

In this embodiment, the data model includes the packaging material refractive index matching data model (the combination of glass, EVA, and cells can be reasonably allocated), and the QE effect curve model after cell packaging (the combination of glass, EVA, and cells can be reasonably allocated) , The thickness and width of the ribbon and the power failure model of the welding hidden cracks of various cells (cell manufacturers, process types) (that is, the simulation of the hidden damage of the cell welding, which can reasonably allocate the combination of the ribbon and the cell), the arc shape of the cell The correlation model between variables and battery slices, ribbons and welding process parameters (reasonable allocation of ribbons, battery slice combinations and selection of reasonable welding process parameters), the model of the power of each component product type affected by the internal resistance change (reasonable allocation of glass, EVA , the combination of cells, ribbons), cell packaging module power gear hit rate model (which can reasonably allocate the combination of glass, EVA, cells, ribbons and business orders), correction model (the actual output can be fed back to Control system, correct component production material formula) and other different data models. In this embodiment, through the above data model, the model can be further combined with the design of statistical science to optimize the model. Combined with the above data model, the ERP system provides storage information, calculates the component order material list according to the data model, and then performs the batching by the automatic batching system. The whole process is monitored by the MES system, and the batching plan is corrected according to the output.

As shown in FIG. 3 , the photovoltaic module power optimization system of an embodiment includes a component acquisition module 120 , a parameter acquisition module 140 , a parameter detection module 160 and an allocation module 180 .

The component obtaining module 120 is used to sequentially obtain the photovoltaic components required in the packaging process of the photovoltaic module;

A parameter acquisition module 140, configured to acquire component parameters of photovoltaic components;

The parameter detection module 160 is used to detect the corresponding component parameters in the packaging process of the photovoltaic component;

The allocation module 180 is configured to allocate corresponding photovoltaic components according to component parameters.

The photovoltaic module power optimization system described above sequentially obtains photovoltaic components and corresponding component parameters during the packaging process, detects the component parameters of the corresponding packaged components during the packaging process, and allocates photovoltaic components according to the component parameters, so that the final packaged photovoltaic components The power of the modules reaches the best effect, which effectively increases the CTM of the photovoltaic modules and increases the power generation of the photovoltaic modules.

In the entire packaging process of photovoltaic modules, in order to realize the automatic packaging process, it is necessary to pre-arrange the photovoltaic components required in the packaging process, such as placing them on the conveyor belt in the order used in the packaging process. For this reason, the optimization system of this embodiment further includes a preset module, which is used to pre-arrange corresponding photovoltaic components sequentially according to the packaging process of the photovoltaic module.

When this embodiment is implemented, in the packaging process, for the obtained photovoltaic component, its own parameters need to be obtained. Usually, for some components in photovoltaic modules, such as cells, suppliers have the ability to conduct a full inspection of these materials and can provide comprehensive parameters. Therefore, usually when the supplier sorts the packaging, the information of materials such as battery sheets can be entered into the QR code in sequence according to the order of placement, and printed on the packaging. When these raw materials are put into storage, the relationship between these two-dimensional code information, batch number, storage location, and quantity can be entered into the database together. For materials with a large amount of information, such as the full-spectrum transmittance curve of glass, etc., usually the full-spectrum transmittance curve of Yituo glass cannot be entered on a two-dimensional code. When this embodiment is implemented, the supplier can According to the order number, the information is entered into the database such as the terminal. When the incoming material is put into the warehouse, the information can be downloaded to the database through the cloud according to the identification code such as the order number.

Therefore, when the component parameters of the photovoltaic components are acquired by the parameter acquisition module 140, the component parameters of the photovoltaic components may be read by reading the two-dimensional code; or the component parameters may be downloaded from the database storing the component parameters. It can be known that, the method for obtaining component parameters described above in this embodiment is only a preferred implementation method adopted by this embodiment according to the actual packaging process, and other optional implementation methods will not be described in this embodiment.

In the packaging process of photovoltaic modules, it is also necessary to detect some component parameters of the corresponding semi-finished photovoltaic modules during the packaging process. Only when these component parameters meet the optimization conditions can the next step of the packaging process be entered to improve the CTM of photovoltaic modules. For example, in the packaging process, it is necessary to detect the light transmittance (or reflectance) of the glass, the resistivity of the photovoltaic module, and the degree of cross-linking of EVA. For this reason, when the present embodiment is implemented, corresponding detection equipment, such as light transmittance (reflectance) testing equipment, resistivity testing equipment, EVA crosslinking degree testing equipment (thermal monitoring), etc., can be directly incorporated into the production line, or Realize the sharing of laboratory equipment and production line, and finally access the control system of the equipment to read the test data. As another preferred method of this embodiment, it can also be realized by increasing the assembly line, setting the sampling frequency and lines of the assembly line at the same time, flowing the photovoltaic modules to be tested into the laboratory, and returning to the production line after the test is completed. For example, for off-line EVA cross-linking degree test (xylene), set cross-linking degree sample making plan, flow the prepared samples into the laboratory, and enter the system.

For this reason, when the parameter detection module 160 of this embodiment detects the corresponding component parameters in the packaging process of the photovoltaic components, the photovoltaic components can be flowed into the component parameter detection device which is pre-incorporated in the photovoltaic component packaging process to detect the component parameters of the photovoltaic components ; Or flow the photovoltaic modules into the assembly line with preset sampling frequency and lines to detect the component parameters of the photovoltaic modules.

In this embodiment, for some component parameters, existing equipment may also be improved to detect component parameters. For example, for the thickness and width of the ribbon that needs to be detected during the packaging process of photovoltaic modules, the measuring device for the thickness and width of the ribbon can be directly incorporated into the stringer, and through the resistance method structure (the height of the mercury column varies with the ribbon When the thickness changes, the thickness of the welding strip is obtained according to the change of resistance) or the capacitance method structure (one active electrode of the capacitor changes with the change of the thickness of the welding strip, and the thickness of the welding strip can be measured) for measurement. The measured parameters can be entered into the control system in real time. Compared with the discrete data obtained by conventional testing methods, the data measured in this embodiment are more accurate, and can also monitor the bow shape of the cells after serial welding (the bow of the cells is determined by the battery Sheets, ribbons and welding process parameters), through the size of the deformation to prevent hidden cracks and fragments in the lamination process of cells.

For the component parameters obtained by the parameter detection module 160, the allocation module 180 can assign specific photovoltaic components to perform the packaging process according to the component parameters, optimize the packaging process, and reduce packaging loss. As shown in FIG. 4 , the assignment module 180 includes a model matching unit 181 , a combination acquisition unit 182 and an assignment unit 183 .

A model matching unit 181, configured to match the data model corresponding to the component parameters;

A combination obtaining unit 182, configured to obtain an optimal combination of photovoltaic components through a data model;

The allocation unit 183 is configured to allocate photovoltaic components for packaging according to the combination of photovoltaic components.

In this embodiment, the data model includes the packaging material refractive index matching data model (the combination of glass, EVA, and cells can be reasonably allocated), and the QE effect curve model after cell packaging (the combination of glass, EVA, and cells can be reasonably allocated) , The thickness and width of the ribbon and the power failure model of the welding hidden cracks of various cells (cell manufacturers, process types) (that is, the simulation of the hidden damage of the cell welding, which can reasonably allocate the combination of the ribbon and the cell), the arc shape of the cell The correlation model between variables and battery slices, ribbons and welding process parameters (reasonable allocation of ribbons, battery slice combinations and selection of reasonable welding process parameters), the model of the power of each component product type affected by the internal resistance change (reasonable allocation of glass, EVA , the combination of cells, ribbons), cell packaging module power gear hit rate model (which can reasonably allocate the combination of glass, EVA, cells, ribbons and business orders), correction model (the actual output can be fed back to Control system, correct component production material formula) and other different data models. In this embodiment, through the above data model, the model can be further combined with the design of statistical science to optimize the model. Combined with the above data model, the ERP system provides storage information, calculates the component order material list according to the data model, and then performs the batching by the automatic batching system. The whole process is monitored by the MES system, and the batching plan is corrected according to the output.

The various technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, should be considered as within the scope of this specification.

The above-mentioned embodiments only express several implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but should not be construed as limiting the patent scope of the invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (8)

1. a kind of optimization method of photovoltaic module power, it is characterised in that including：

Obtain successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；

Obtain the parameters of operating part of the photovoltaic component；

Detection corresponding component parameter in the encapsulation process of the photovoltaic module；

According to the corresponding photovoltaic component of component parameter distribution；

It is described to be included according to the corresponding photovoltaic component of component parameter distribution：

The matching data model corresponding with the component parameter；

Optimal photovoltaic component is obtained by the data model to combine；

The photovoltaic component is distributed according to photovoltaic component combination to be packaged.

2. optimization method according to claim 1, it is characterised in that the optimization method also includes：

Corresponding photovoltaic component is arranged successively in advance according to the encapsulation process of photovoltaic module.

3. optimization method according to claim 1, it is characterised in that the parameters of operating part bag of the acquisition photovoltaic component Include：

By the parameters of operating part for reading photovoltaic component described in Quick Response Code；Or

The parameters of operating part is downloaded from the database for the parameters of operating part that is stored with.

4. optimization method according to claim 1, it is characterised in that encapsulation process of the detection in the photovoltaic module In corresponding component parameter include：

The photovoltaic module is flowed into the component parameter detection means detection institute being incorporated in advance during the photovoltaic component encapsulating State the component parameter of photovoltaic module；Or

The photovoltaic module is flowed into the component ginseng that the streamline with default sampling observation frequency and circuit detects the photovoltaic module Number.

5. a kind of optimization system of photovoltaic module power, it is characterised in that including：

Component retrieval module, for obtaining successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；

Parameter acquisition module, the parameters of operating part for obtaining the photovoltaic component；

Parameter detection module, for detecting the corresponding component parameter in the encapsulation process of the photovoltaic module；

Distribute module, for distributing the corresponding photovoltaic component according to the component parameter；

The distribute module includes：

Model Matching unit, for matching the data model corresponding with the component parameter；

Acquiring unit is combined, is combined for obtaining optimal photovoltaic component by the data model；

Allocation unit, is packaged for distributing the photovoltaic component according to photovoltaic component combination.

6. optimization system according to claim 5, it is characterised in that also include：

Preset module, corresponding photovoltaic component is arranged for the encapsulation process according to photovoltaic module successively in advance.

7. optimization system according to claim 5, it is characterised in that the parameter acquisition module is by reading Quick Response Code institute The parameters of operating part of photovoltaic component is stated, or the parameters of operating part is downloaded from the database for the parameters of operating part that is stored with.

8. optimization system according to claim 5, it is characterised in that the parameter detection module detection is in the photovoltaic group Corresponding component parameter includes in the encapsulation process of part：

The photovoltaic module is flowed into the component parameter detection means detection institute being incorporated in advance during the photovoltaic component encapsulating State the component parameter of photovoltaic module；Or

The photovoltaic module is flowed into the component ginseng that the streamline with default sampling observation frequency and circuit detects the photovoltaic module Number.