Digital twinborn body method suitable for photovoltaic automatic design system
By creating editable, automatic calculation, and real-time update digital twin models in photovoltaic power generation design, the problems of insufficient data expression capabilities and insane design in the existing technology are solved, and the automated and intelligent design of photovoltaic power generation systems are realized, and the improvement of the automation and intelligent design of photovoltaic power generation systems is improved. Design efficiency and accuracy.
Patent Information
- Application Number
- CN202411832827.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-01-10
- Estimated Expiration
- 2044-12-13
AI Technical Summary
The existing photovoltaic power generation design lacks a comprehensive digital twin model, which cannot realize automatic calculation and intelligent design, insufficient data expression capabilities, cumbersome data input and poor application effect, which cannot reflect the electrical and mechanical properties of photovoltaic equipment, and lack of virtual and reality. interaction and data linkage.
Through the digital twin method, we create editable, automatic calculation, and real-time update digital twin models, including geometric shape creation, parameter binding, parameter creation and connection relationship construction, and establish a complete photovoltaic power generation digital twin model with electrical properties and physics Performance and connection parameter modules to realize automated data processing and real-time updates.
It realizes the automated and intelligent design of photovoltaic power generation systems, which can map real equipment one by one, automatically calculate the power generation and comply with design specifications, reduce manual workload, and improve design efficiency and accuracy.
Smart Images

Figure CN119293890A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of photovoltaic system informatization, and in particular to a digital twin method suitable for a photovoltaic automatic design system. Background Art
[0002] With the massive consumption of non-renewable energy, the energy shortage problem has become increasingly serious. The global demand for renewable energy has grown rapidly. Especially in the context of "dual carbon", the demand for clean energy is increasing, further promoting the rapid development of the photovoltaic industry.
[0003] As the trend of the times and technology for the development of informatization in various industries, digital twin technology creates a digital twin of the project in the virtual cyberspace, and uses the model as a carrier to intuitively express and fully associate the five-dimensional information such as physical entity (PE), virtual entity (VE), service (Ss), twin data (DD), and connection (CN). It is of great significance to introduce the digital twin model into the photovoltaic power generation design process, realize the transformation of the traditional photovoltaic power generation design, improve the power generation efficiency of the overall photovoltaic industry, reduce the design cost, and shorten the construction period of photovoltaic projects.
[0004] The introduction of digital twin technology into the practice of photovoltaic power generation design requires a complete digital model platform to integrate and materialize the digital twin information of photovoltaic power generation. In my country's construction industry, data modeling software has been widely used in the BIM system. Its unique digital twin file has the characteristics of parametric design, high degree of customization, dynamic update, etc., which can well integrate solar power generation systems and optimize photovoltaic design.
[0005] In the Chinese invention patent with application publication number CN114662197A and application publication date 2022-06-24, a method for drawing a solar photovoltaic panel curtain wall BIM model based on the REVIT platform is provided. In this solution, the photovoltaic panel model is created, parameter information such as size and material is added, and the solar photovoltaic panel curtain wall is loaded into the original project file to achieve rapid drawing of the photovoltaic panel curtain wall. The shortcomings of this prior art solution are: 1) The drawn digital models are of a single type and are limited to photovoltaic components. They do not provide data support for the digital twin model of the entire photovoltaic power generation (such as inverters, fixtures, junction boxes, etc.), and fail to achieve interaction between virtual and reality.
[0006] 2) It is just a simple three-dimensional modeling of the geometric shape of the components and the construction of a small number of parameters such as size and material information parameters. It lacks important parameters such as the electrical properties, mechanical properties, and construction of series-parallel relationships of photovoltaic equipment, and cannot reflect the characteristics of the digital twin model of the photovoltaic industry.
[0007] 3) Failure to create a model environment and behavioral code that complies with photovoltaic design specifications. Failure to achieve the purpose of automatic calculation and intelligent photovoltaic power generation, and failure to achieve automation and intelligence in photovoltaic design.
[0008] Traditional photovoltaic equipment has several defects in digital technology: 1) Incomplete data expression capabilities. Most digital models of photovoltaic equipment only have appearance information, but no corresponding functional information or equipment attributes, which cannot provide assistance to practitioners in design, calculation, and implementation. 2) Data input is cumbersome, requiring manual input of equipment parameters of photovoltaic equipment, location parameters of equipment in the digital twin model, and spatial associations between the power generation equipment; 3) The data application effect is poor. The created data model does not realize data linkage. There is no data interaction and docking with photovoltaic design specifications in the entire project. It cannot provide the purpose of automated program calculation to reduce workload.
[0009] 4) Data modules are fragmented. Different activities at different stages and in different fields of photovoltaics require different types of data, data accuracy, and data volume. There is no comprehensive and integrated data for all people with different needs. Summary of the invention
[0010] The present invention mainly solves the deficiencies in the prior art and provides a digital twin method suitable for photovoltaic automatic design system, which has the data characteristics of editable, automatic calculation and real-time update. It solves the problem of creating a digital twin for a digital twin model based on a digital modeling platform. The digital twin uses the model as a carrier to carry all the data required for the photovoltaic power generation digital twin model.
[0011] The above technical problems of the present invention are mainly solved by the following technical solutions: A digital twin method applicable to a photovoltaic automatic design system includes the following steps: Step 1: Create the geometric shape of the digital twin. Through the modeling function of the modeling software, the device's external dimensions are matched one by one to create a digital image, thus achieving a mirror image of the photovoltaic component's external dimensions.
[0012] Step 2: Binding of shape parameters of digital twins. By binding the model lines to reference lines, the model geometric shape parameters are then used to mark shape control references such as size and distance, thus achieving digital control of the shape of photovoltaic components through parameters.
[0013] Step 3: Create parameters for the digital twin. Model manufacturer parameters, physical performance parameters, and electrical parameters are created in the parameter editing section. Create the above parameter names and their values, and associate their names with the corresponding digital twin parameter parts.
[0014] Step 4: Construct the connection relationship of instance parameters. In the parameter value interface, create a formula inside the parameter to associate the quantitative relationship between related parameters. The numerical calculation of the related parameters is obtained by the formula involving other parameters. The parameter numerical formula is matched with the parameter one by one to ensure the connectivity between the related parameters.
[0015] The photovoltaic electrical components created by the digital twin are modeled in a one-to-one restoration of the appearance of the real electrical equipment, ensuring that the digital model is a mirror image of the real project. On the one hand, the digital twin model can intuitively present the appearance of photovoltaic power generation from the overall layout to the local detail nodes; on the other hand, the connection, arrangement and installation between all components are simulated and preset, which can not only perform collision checks on the scheme, but also show the connection structure between photovoltaic components, which is suitable for guiding on-site installation.
[0016] As a preferred method, a digital model of photovoltaic power generation components is established through architectural modeling software, and then the digital model is parameterized and data connected to make it a sub-body capable of building a complete photovoltaic power generation digital twin model - a digital twin. All digital twin sub-bodies of an entire photovoltaic power generation project are used to build a digital twin model of the project. This is convenient for the subsequent digitization application of the photovoltaic power generation automatic shooting system.
[0017] As a preferred method, the example digital twin creates a corresponding digital twin library for electrical equipment of different manufacturers and specifications to meet the needs of digital twin modeling; on the one hand, the costs of equipment of different manufacturers and specifications often vary greatly, which becomes the basis for parameter calculation in the initial investment estimate of the project; on the other hand, the power generation effects of equipment of different manufacturers and specifications are different, which plays an absolute role in affecting the simulation results in the holographic simulation stage of the design. The example digital twin creates a corresponding digital twin library for electrical equipment of different manufacturers and specifications to meet the needs of digital twin modeling.
[0018] Preferably, the digital twin has a module that expresses the physical and mechanical performance parameters of the equipment; all equipment in the digital twin has material parameters, and different materials are used for different needs to ensure that the equipment meets the design and use requirements, while further optimizing the cost. At the same time, the choice of material has a clear expression for the mechanical properties, rust and corrosion prevention, weight, and bearing capacity of the equipment.
[0019] Preferably, the digital twin has an electrical property parameter module of the photovoltaic device; electrical parameters are essential property parameters of photovoltaic power generation equipment and are one of the characteristics of establishing a digital twin model of photovoltaic power generation. The electrical information required for photovoltaic power generation can be brought in with the model as a carrier to digitize the project in the cyber virtual space, perform the logical operations behind it, and create the behavioral code of the digital twin model. The conventional electrical parameters of the model include the maximum and minimum full-load current voltage, power and other conventional parameters.
[0020] Preferably, the digital twin has a connection parameter module for representing the connection relationship between various components; the series and parallel relationship of photovoltaic panels, the number of connections between photovoltaic modules and inverters, and the number of MPPTs are all represented in the model. These parameters directly convert the design connection scheme into the connection parameters of the model itself, which are provided to the entire digital twin model system, provide data connection information for the entire project, and participate in the calculation of photovoltaic specification verification as calculation data.
[0021] Preferably, the digital twin has an electrical instance parameter module for internal specification calculations of the digital twin; it is created using a digital modeling platform, and further expanded and extended on the basis of traditional digital twins. The digital twin of the digital modeling platform has an instance parameter module, and the instance parameters give unique attribute values or calculation formulas to each specific element instance, thereby meeting the personalized needs of photovoltaic module projects.
[0022] As a preference, through the software assignment of instance parameters and the internal rule specifications of the digital twin, the geometric constraints and connection information of the photovoltaic electrical components are interconnected, and the digital twin is implemented to ensure that the appearance conforms to the actual equipment and the electrical specification properties conform to the fundamental principle of photovoltaic design specifications.
[0023] As a preferred method, all electrical parameters of the digital twin are interoperable with PVDT for data collection and call by the system platform. Through the programming and coding calculation of the platform system, they are used for the calculation of subsequent functions, including the calculation of the simulated full-load current and voltage of the entire system, the calculation of the power generation of the entire project, and whether the power of the inverter can be loaded. This kind of data transmission, interaction, and use is the advantage of the digital twin model, which saves a lot of manual work and realizes the automation, digitization, and intelligence of the photovoltaic power generation system.
[0024] As a preferred option, all data of the digital twin can be updated in real time throughout the entire life cycle of photovoltaic power generation; in the digital modeling platform software, the whole process is interconnected, and through the association and correspondence between parameters, the same parameters of the digital twin of the same equipment type can be dynamically updated in different parts, different numbers, and different stages of the same project. Once one place needs to be changed, other places will be updated, and even the calculation parameters related to this parameter will be updated at the same time. Compared with the defects of difficult update and optimization and high error rate of traditional design solutions, data models have obvious huge advantages.
[0025] The present invention can achieve the following effects: The present invention provides a digital twin method applicable to the photovoltaic automatic design system. Compared with the prior art, it has the data characteristics of editability, automatic calculation, and real-time update. It solves the problem of creating a digital twin for a digital twin model based on a digital modeling platform. The digital twin uses the model as a carrier to carry all the data required for the photovoltaic power generation digital twin model.
[0026] With the digital model as the carrier, the electrical properties, performance properties, connection properties, data acquisition and transmission properties of the equipment can be carried out, and finally the purpose of simulating the operation of virtual photovoltaic power generation projects can be achieved by automatically mapping the photovoltaic power generation digital twin model with reality, automatically arranging the series and parallel connection of the optimal design scheme, calculating whether it meets the photovoltaic design specifications with one click, calculating the overall power generation, and simulating the operation of virtual photovoltaic power generation projects. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 It is a schematic diagram of the digital characteristics of the digital twin of the present invention. DETAILED DESCRIPTION
[0028] The technical solution of the invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.
[0029] Example: Figure 1 As shown, a digital twin method applicable to a photovoltaic automatic design system includes the following steps: Step 1: Create the geometric shape of the digital twin. Through the modeling function of the modeling software, the device's external dimensions are matched one by one to create a digital image, thus achieving a mirror image of the photovoltaic component's external dimensions.
[0030] Through architectural modeling software, a digital model of photovoltaic power generation components is established, and then through parameterization and data connectivity of the digital model, it becomes a sub-body capable of building a complete photovoltaic power generation digital twin model - a digital twin. All digital twin sub-bodies of an entire photovoltaic power generation project are used to build a digital twin model of the project.
[0031] Step 2: Binding of shape parameters of digital twins. By binding the model lines to reference lines, the model geometric shape parameters are then used to mark shape control references such as size and distance, thus achieving digital control of the shape of photovoltaic components through parameters.
[0032] Step 3: Create parameters for the digital twin, including model manufacturer parameters, physical performance parameters, and electrical parameters. In the parameter editing section, create the above parameter names and their values, and associate their names with the corresponding digital twin parameter parts.
[0033] For example, digital twins create corresponding digital twin libraries for electrical equipment from different manufacturers and specifications to meet the needs of digital twin modeling. On the one hand, the costs of equipment from different manufacturers and specifications often vary greatly, which becomes the basis for parameter calculation in the initial investment estimate of the project. On the other hand, the power generation effects of equipment from different manufacturers and specifications are different, which plays an absolute role in affecting the simulation results in the holographic simulation stage of the design.
[0034] The digital twin has a module that expresses the physical and mechanical performance parameters of the equipment. All equipment in the digital twin has material parameters. Different materials are used for different needs to ensure that the equipment meets the design and use requirements, while further optimizing the cost. At the same time, the choice of material has a clear expression for the mechanical properties, rust and corrosion prevention, weight, and bearing capacity of the equipment.
[0035] The digital twin has an electrical property parameter module of the photovoltaic device; electrical parameters are necessary property parameters of photovoltaic power generation equipment and are one of the characteristics of establishing a digital twin model of photovoltaic power generation. Only by bringing in the electrical information required for photovoltaic power generation using the model as a carrier can the project be digitized in the cyber virtual space, the logical operations behind it be performed, and the behavioral code of the digital twin model be created.
[0036] Step 4: Construct the connection relationship of instance parameters. In the parameter value interface, create a formula inside the parameter to associate the quantitative relationship between related parameters. The numerical calculation of the related parameters is obtained by the formula involving other parameters. The parameter numerical formula is matched with the parameter one by one to ensure the connectivity between the related parameters.
[0037] The digital twin has a connection parameter module for representing the connection relationship between various components; the series and parallel relationship of photovoltaic panels, the number of connections between photovoltaic modules and inverters, and the number of MPPTs are all represented in the model.
[0038] The digital twin has an electrical instance parameter module for internal specification calculation of the digital twin; it is created using the digital modeling platform, and further extended on the basis of the traditional digital twin. The digital twin of the digital modeling platform has an instance parameter module. The instance parameter gives a unique attribute value or calculation formula to each specific element instance, thereby meeting the personalized needs of the photovoltaic component project. Through the software assignment of instance parameters and the internal rules and specifications of the digital twin, the geometric constraints and connection information of the photovoltaic electrical components are interconnected, and the digital twin ensures that the appearance conforms to the actual equipment and the electrical specification attributes conform to the fundamental principle of photovoltaic design specifications.
[0039] All electrical parameters of the digital twin are interoperable with the PVDT for data collection and call by the system platform. They are calculated through programming and coding of the platform system and used for calculation of subsequent functions, including calculation of simulated full-load current and voltage of the entire system, calculation of power generation of the entire project, and whether the power of the inverter can bear the load.
[0040] All data of the digital twin are updated in real time throughout the entire life cycle of photovoltaic power generation; in the digital modeling platform software, the entire process is interconnected. Through the association and correspondence between parameters, the same parameters of the digital twin of the same equipment type can be dynamically updated in different parts, different numbers, and different stages of the same project. Once one place needs to be changed, other places will be updated, and even the calculation parameters related to this parameter will be updated at the same time.
[0041] The specific characteristics of the digital twin of the component are: ① The digital twin has a geometric shape that is completely consistent with the actual photovoltaic component equipment.
[0042] ②The digital twin includes the manufacturers and specifications of different photovoltaic components and equipment.
[0043] ③The digital twin has physical performance parameter modules, such as materials.
[0044] ④The digital twin has a corresponding electrical property parameter module.
[0045] ⑤The digital twin has a connection parameter module, which represents the connection relationship between each component.
[0046] ⑥The digital twin has an instance parameter module that performs logical operations on the intrinsic functions of photovoltaic components.
[0047] ⑦The digital twin data is directly called by the photovoltaic digital twin model design system and used for the photovoltaic design specification calculation of the overall digital twin model.
[0048] PVDT is a photovoltaic digital twin model creation system developed by our company. PVDT, the smart photovoltaic power station digital twin system, uses the Internet of Things technology to monitor equipment and environment in real time, displays the operation of the power station through a three-dimensional visualization system, realizes remote monitoring, automatic inspection and preventive maintenance, reduces costs, and improves operation and maintenance efficiency and decision-making quality.
[0049] ⑧The digital twin data is fully linked throughout the entire process and the entire cycle. If one place is changed, everything will be updated.
[0050] In summary, the digital twin method applicable to the photovoltaic automatic design system has the data characteristics of editable, automatic calculation, and real-time update. It solves the problem of creating a digital twin for a digital twin model based on a digital modeling platform. The digital twin uses the model as a carrier to carry all the data required for the photovoltaic power generation digital twin model.
[0051] With the digital model as the carrier, the electrical properties, performance properties, connection properties, data acquisition and transmission properties of the equipment can be carried out, and finally the purpose of simulating the operation of virtual photovoltaic power generation projects can be achieved by automatically mapping the photovoltaic power generation digital twin model with reality, automatically arranging the series and parallel connection of the optimal design scheme, calculating whether it meets the photovoltaic design specifications with one click, calculating the overall power generation, and simulating the operation of virtual photovoltaic power generation projects.
[0052] The above description is only a specific embodiment of the present invention, but the structural features of the present invention are not limited thereto. Any changes or modifications made by any technician in the field of the present invention are included in the patent scope of the present invention.
Claims
1. A digital twin method for photovoltaic automatic design system, characterized in that The steps are as follows: Step 1: Create the geometric shape of the digital twin. Use the modeling function of the modeling software to create a digital image of the device's dimensions one by one, and achieve mirror-image replication of the photovoltaic component's shape. Step 2: Binding of digital twin shape parameters. By binding the model line to the reference line, the model geometric shape parameters are used to mark the shape control references such as size and distance, thus realizing digital control of the shape of photovoltaic components through parameters. Step 3: Create parameters for the digital twin. Model manufacturer parameters, physical performance parameters, and electrical parameters are created in the parameter editing section. Create the above parameter names and their values, and associate their names with the corresponding digital twin parameter sections. Step 4: Construct the connection relationship of instance parameters. In the parameter value interface, create a formula inside the parameter to associate the quantitative relationship between related parameters. The numerical calculation of the related parameters is obtained by the formula involving other parameters. The parameter numerical formula is matched with the parameter one by one to ensure the connectivity between the related parameters.
2. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: Through architectural modeling software, a digital model of photovoltaic power generation components is established, and then through parameterization and data connectivity of the digital model, it becomes a sub-body capable of building a complete photovoltaic power generation digital twin model - a digital twin. All digital twin sub-bodies of an entire photovoltaic power generation project are used to build a digital twin model of the project.
3. The digital twin method for photovoltaic automatic design system according to claim 2, characterized in that: For example, digital twins create corresponding digital twin libraries for electrical equipment from different manufacturers and specifications to meet the needs of digital twin modeling. On the one hand, the costs of equipment from different manufacturers and specifications often vary greatly, which becomes the basis for parameter calculation in the initial investment estimate of the project. On the other hand, the power generation effects of equipment from different manufacturers and specifications are different, which plays an absolute role in affecting the simulation results in the holographic simulation stage of the design.
4. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: The digital twin has a module that expresses the physical and mechanical performance parameters of the equipment. All equipment in the digital twin has material parameters. Different materials are used for different needs to ensure that the equipment meets the design and use requirements, while further optimizing the cost. At the same time, the choice of material has a clear expression for the mechanical properties, rust and corrosion prevention, weight, and bearing capacity of the equipment.
5. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: The digital twin has an electrical property parameter module of the photovoltaic device; electrical parameters are necessary property parameters of photovoltaic power generation equipment and are one of the characteristics of establishing a digital twin model of photovoltaic power generation. Only by bringing in the electrical information required for photovoltaic power generation using the model as a carrier can the project be digitized in the cyber virtual space, the logical operations behind it be performed, and the behavioral code of the digital twin model be created.
6. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: The digital twin has a connection parameter module for representing the connection relationship between various components; the series and parallel relationship of photovoltaic panels, the number of connections between photovoltaic modules and inverters, and the number of MPPTs are all represented in the model.
7. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: The digital twin has an electrical instance parameter module for internal specification calculations of the digital twin; it is created using a digital modeling platform, which further expands and extends the traditional digital twin. The digital twin has an instance parameter module, and the instance parameters give each specific element instance a unique attribute value or calculation formula, thereby meeting the personalized needs of photovoltaic module projects.
8. The digital twin method for photovoltaic automatic design system according to claim 7, characterized in that: Through the software assignment of instance parameters and the internal rules and specifications of the digital twin, the geometric constraints and connection information of photovoltaic electrical components are interconnected, and the digital twin is realized to ensure that the appearance conforms to the actual equipment and the electrical specification properties conform to the fundamental principle of photovoltaic design specifications.
9. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: All electrical parameters of the digital twin are interoperable with the PVDT for data collection and call by the system platform. They are calculated through programming and coding of the platform system and used for calculation of subsequent functions, including calculation of simulated full-load current and voltage of the entire system, calculation of power generation of the entire project, and whether the power of the inverter can bear the load.
10. The digital twin method for photovoltaic automatic design system according to claim 1, characterized in that: All data of the digital twin are updated in real time throughout the entire life cycle of photovoltaic power generation; in the digital modeling platform software, the entire process is interconnected. Through the association and correspondence between parameters, the same parameters of the digital twin of the same equipment type can be dynamically updated in different parts, different numbers, and different stages of the same project. Once one place needs to be changed, other places will be updated, and even the calculation parameters related to this parameter will be updated at the same time.
Citation Information
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