Digital twin virtualization method and system for power distribution terminal equipment

By constructing a tree-structured, recursively nested digital twin virtual model, the problem of incomplete description of power distribution terminal equipment was solved, enabling efficient operation and maintenance and rapid fault location, thus improving operation and maintenance efficiency and accuracy.

CN121809018APending Publication Date: 2026-04-07NR ELECTRIC CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-18
Publication Date
2026-04-07

AI Technical Summary

Technical Problem

Existing digital twin models of power distribution terminal equipment are insufficient to accurately describe their physical structure, behavioral logic, and interrelationships, thus failing to meet the needs for improved operation and maintenance efficiency.

Method used

A digital twin virtual model with a tree-like recursive nested structure is used, including a physical model, a behavioral model, and a relational model. The physical structure, functional logic, and object associations of the power distribution terminal equipment are described using XML language to construct a complete digital twin.

Benefits of technology

It improves the efficiency of power distribution automation operation and maintenance, realizes real-time monitoring of equipment status, rapid fault location and automatic generation of maintenance plans, and reduces operation and maintenance costs.

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Abstract

The invention discloses a digital twinborn virtual method and system for power distribution terminal equipment. A digital twinborn virtual model comprises a physical model, a behavior model and a relation model. The physical model adopts a tree-shaped recursive nested structure to describe physical attributes of the equipment from a case, a plug-in to a component; the behavior model adopts a tree recursion nested structure to describe input and output information and algorithm rules of logic functions such as protection, measurement and monitoring of equipment; the relation model describes the incidence relation between the physical object and the behavior function in a single structure. The model is subjected to standardized definition through specific XML elements and attributes thereof. According to the method, the problem that the digital twin model of the power distribution terminal lacks standardization and completeness is solved, a core model basis is provided for equipment state real-time monitoring, accurate fault positioning and intelligent operation and maintenance, and the operation and maintenance efficiency is remarkably improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to a digital twin system, in particular to a digital twin virtual method and system of power distribution terminal equipment. BACKGROUND

[0002] With the deepening of the construction of smart grid and power distribution network automation, the number of power distribution terminal equipment (such as FTU, DTU, TTU, etc.) increases rapidly, and its operation and maintenance work becomes increasingly tedious and complex. The traditional operation and maintenance mode highly depends on manual on-site troubleshooting and experience judgment, and has problems such as low efficiency, high cost, inaccurate fault positioning, and lagging state evaluation. In response to the above challenges, digital twin technology is introduced into the power system, aiming to realize real-time monitoring, simulation and predictive maintenance through the construction of virtual mapping of physical entities. However, at the level of power distribution terminal, the existing digital twin model often focuses on a single dimension, such as modeling for geometric shape and data point table, which is difficult to support refined operation and maintenance business (such as plug-in level fault positioning, protection logic simulation verification, device health state evaluation, etc.), and cannot meet the urgent needs of the national grid digital twin strategy for operation and maintenance efficiency improvement. In summary, there is a lack of a standardized and structured digital twin model to describe the complex physical composition, behavior logic and the relationship between them of power distribution terminal equipment. SUMMARY

[0003] The present application provides a digital twin virtual method and system of power distribution terminal equipment, which can comprehensively and accurately describe the power distribution terminal equipment and be efficiently processed and analyzed by a computer.

[0004] The technical scheme adopted by the present application is a digital twin virtual method of power distribution terminal equipment, which simulates the power distribution terminal equipment through a digital twin virtual model. The digital twin virtual model includes a physical model, a behavior model and a relationship model.

[0005] The physical model is used to describe the physical structure of the power distribution terminal equipment. The architecture of the physical model is a tree-shaped recursive nested structure, starting from the device case level and recursively nesting to the plug-in level. Each level of the physical model represents the coordinate, size and type data information of the corresponding level object.

[0006] The behavior model is used to describe the functional logic of the power distribution terminal equipment. The architecture of the behavior model is a tree-shaped recursive nested structure, which is used to represent various logical functions of the device, including relay protection logic function, current / voltage / power measurement logic function and device online monitoring logic function. Each level of the behavior model represents the input data, output data and operation rule information of the corresponding logical function.

[0007] The relationship model is used to represent the mapping and association relationship between the objects in the physical model and the objects in the behavior model.

[0008] The digital twin virtual model is constructed by the following elements: a root element, a first-level physical model, a first-level behavior model, an association relationship, data information in the physical model, input or output data information in the behavior model, and an operation rule corresponding to a logical function; the data information element in the physical model is used to represent data information of a physical object, the attribute value of the data information element in the physical model is a string representation of an actual data value, the data information element in the physical model comprises a unit attribute of data, and the unit attribute of data is used to represent a data unit; the association relationship element comprises a source attribute and a target attribute, and the source attribute and the target attribute are used to represent the names of the physical model object and the behavior model object having the association relationship; the input or output data information element in the behavior model is used to represent functional input or output data information, the attribute value of the input or output data information element in the behavior model is a string representation of an actual data value, the input or output data information element in the behavior model comprises a unit attribute, a minimum value attribute, a maximum value attribute, and a step attribute; and the operation rule element corresponding to the logical function is used to represent operation rule information of the logical function, and the attribute value of the operation rule element corresponding to the logical function is an inverse Polish expression of the operation rule.

[0009] The first-level physical model comprises at least one data information element in the physical model, zero or more association relationship elements, and zero or more first-level physical model elements for recursive nesting as its sub-elements.

[0010] The first-level behavior model comprises at least one input or output data information element in the behavior model, at least one operation rule element corresponding to a logical function, and zero or more first-level behavior model elements for recursive nesting as its sub-elements.

[0011] The physical model is further nested to the component level on the plug-in after the plug-in level is nested.

[0012] The digital twin virtual model adopts an XML language to describe the power distribution terminal device.

[0013] Each element in the digital twin virtual model comprises the following attributes: an English name of a model object, a Chinese description of the model object, and a type of the model object.

[0014] The application provides a digital twin virtual system of a power distribution terminal device, which comprises a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements a digital twin virtual method of the power distribution terminal device when executing the computer program.

[0015] The application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the digital twin virtual method of the power distribution terminal device.

[0016] The application provides a computer program product, which comprises a computer program and / or instructions, and the computer program and / or instructions are executed by a processor to realize the digital twin virtual method of the power distribution terminal device.

[0017] Advantages: Compared with the prior art, the digital twin virtual method and system of the power distribution terminal device have the following advantages: the digital twin virtual model structure is clear, the information is complete, and the digital twin virtual model is easy to analyze, so that the power distribution automation operation and maintenance efficiency can be significantly improved. The digital twin virtual system provides a solid foundation for subsequent automatic evaluation of operation and maintenance state, rapid and accurate positioning of equipment failure, and automatic generation of maintenance optimization scheme. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a schematic diagram of the overall architecture of the digital twin virtual model. DETAILED DESCRIPTION

[0019] The technical solutions of the application will be further described below with reference to the drawings and examples.

[0020] The digital twin virtual method of the power distribution terminal device is used to develop an operation and maintenance system to realize real-time and accurate monitoring of equipment state, automatic positioning of faults, online simulation and verification of protection logic, and generation of predictive maintenance scheme. This embodiment takes a data transmission unit (DTU) device as an example to illustrate the specific construction process of the digital twin virtual model.

[0021] The digital twin virtual model describes the power distribution terminal device using XML language, including a physical model, a behavior model and a relationship model.

[0022] The physical model is used to describe the physical structure of the power distribution terminal device. The architecture of the physical model is a tree-shaped recursive nested structure, starting from the device chassis level, recursively nested to the plug-in level, and further nested to the component level on the plug-in; each level of the physical model is used to represent the coordinate, size, type data information of the objects at the level.

[0023] The behavior model is used to describe the functional logic of the power distribution terminal device. The architecture of the behavior model is a tree-recursive nested structure, which is used to represent each type of logic function possessed by the device. The logic functions include a relay protection logic function, a current / voltage / power measurement logic function, or a device online monitoring logic function. Each level of the behavior model is used to represent the input data, output data, and operation rule information of the logic function.

[0024] The relationship model is a single structure, which is used to represent the mapping and association relationship between the objects in the physical model and the objects in the behavior model.

[0025] The data transmission unit DTU is constructed using the following XML elements: <iedevice> 、 <phy> 、 <func> 、 <crm> 、 <pdata> 、 <fdata>and <formula>; wherein each element includes three attributes of name, desc and type. By defining strict XML Schema, the physical structure, behavior logic and association of power distribution terminal are standardized and structured, which solves the problem of model description confusion and inconsistency, greatly improves the interoperability and interchangeability of the model. Using XML language and recursive nested tree structure, the model is easy to read and understand, and also convenient for computer program to parse, traverse and operate, which improves the data processing efficiency.

[0026] <iedevice>: Root element of the entire digital twin virtual model.

[0027] <phy>: represents a first level physical model, recursively nestable to represent hierarchical physical structures.

[0028] <func>: represents a primary behavior model, recursively nestable to represent hierarchical functional logic.

[0029] <crm>: represents an association relationship in a representative relationship model.

[0030] <pdata>: represents data information in the physical model, such as coordinates, dimensions, types.

[0031] <fdata>: represents input or output data information in a behavior model.

[0032] <formula>: The operation rule representing the logical function in the behavior model.

[0033] Each of the seven elements has the following three attributes:

[0034] name: The English name of the model object.

[0035] desc: The Chinese description of the model object.

[0036] type: The type of the model object.

[0037] The model covers physical attributes (size, coordinate, type), behavior functions (input, output, algorithm), and physical-behavioral correlations, providing a complete digital twin with comprehensive information, laying a solid foundation for advanced operation and maintenance applications.

[0038] The physical model of the data transmission unit DTU includes <phy> 、 <pdata> 、 <crm>Element. The behavior model of the data transfer unit DTU comprises <func> 、 <fdata> 、 <formula>Elements. The relationship model of the data transfer unit DTU comprises <crm>Elements.

[0039] <phy>An element represents a first level physical model, which contains at least one <pdata>element, zero or more <crm>elements, and zero or more for recursive nesting <phy>The element as its child element. <pdata>The element is used to represent data information of a physical object, its value attribute value is the string representation of the actual value of the data, and contains a unit attribute for representing the unit of the data. And the element does not contain any sub-elements. <crm>Element used to represent an association relationship in the relationship model, which contains src and dst attributes to indicate the source object and target object names of the association, and the element does not contain any sub-elements. The src (source) and dst (target) two attributes represent the English names of the physical model objects or behavior model objects that exist in the association relationship.

[0040] <func>An element represents a first level behavior model, which contains at least one <fdata>elements, at least one <formula>elements, and zero or more for recursive nesting <func>The element as its child element. <fdata>The element is used to represent functional input or output data information, the value attribute value is the string representation of the actual value of the data, and contains unit, min, max, and step attributes. The element does not contain any child elements. <formula>The element is used to represent the operation rule information of a logical function, the value attribute value of which is the reverse Polish expression of the operation rule, and the element does not contain any sub-element.

[0041] In this embodiment, the root element <iedevice>is represented as:

[0042] <iedevice name="Bay10kV_Linchang1_DTU" desc="样例配电终端" type="Root">.

[0043] management board plug-in <phy>The elements are represented as:

[0044] <phy name="CPUboard" desc="管理板插件" type="MGMT">; <pdata name="xPos1" desc="第1点X坐标" type="XPos" value="10" unit="mm" / > ;... <crm name="CPUfun" desc="管理板运行过流I段保护功能" src="CPUboard" dst="PTOC1" / > .

[0045] overcurrent protection behavior <func>The elements are represented as:

[0046] <func name="PTOCcollection" desc="过流保护" type="PTOC"> ;

[0047] <func name="PTOC1" desc="过流I段保护" type="PTOC"> ;

[0048] <fdata name="Op" desc="过流I段保护动作" type="TripInfo" unit="" min="" max="" step="" / > ;

[0049] <fdata name="FlDis" desc="故障测距" type="TripInfo" unit="km" min="" max="" step="" / > ;

[0050] <fdata name="MaxFlA" desc="最大故障测距" type="TripInfo" unit="A" min="0.0" max="6.0" step="0.001" / > ;

[0051] <formula name="PTOC1Formu" desc="过流I段保护动作逻辑" type="FLA">3 4 + 5 x 6 - <formula / > .

[0052] In this embodiment, the physical model starts from the chassis, which nests the CPU board, and the CPU board nests the CPU chip, and the CPU chip is connected to the CPU board through the CPU socket. <pdata>The attributes of each level are described. The behavior model defines a "overcurrent protection" function collection (PTOCcollection) and a concrete "overcurrent I segment protection" function instance (PTOC1), respectively by <fdata>The functional output data is defined by <formula>The operation logic of the overcurrent I-section protection logic function is defined in the reverse Polish expression. The relational model is passed through <crm>Element associates the physical plug-in "CPUboard" with the behavioral function "PTOC1)", indicating that the plug-in carries these functions.

[0053] After the operation and maintenance system parses this model, it can be known that: 1, the structural composition of the equipment; 2, the functions and algorithms possessed by the equipment; and 3, which physical component implements a specific function.

[0054] When the system receives abnormal data or state reported by the "CPUboard" plug-in, it can immediately locate the possible abnormality of the "overcurrent I section protection" function carried by it and call the corresponding algorithm for simulation verification or fault diagnosis, thereby realizing efficient operation and maintenance.

[0055] Based on this model, an operation and maintenance system can be developed to realize real-time and accurate monitoring of the state of the equipment, automatic positioning of faults (such as positioning to the faulty plug-in or component), online simulation and verification of protection logic, and generation of predictive maintenance schemes, thereby significantly reducing manual intervention, improving operation and maintenance efficiency and accuracy, and reducing operation and maintenance costs.

[0056] In one embodiment, a digital twin virtual system of a power distribution terminal device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the digital twin virtual method of the power distribution terminal device as described above when executing the computer program.

[0057] In one embodiment, a computer readable storage medium is provided, which stores a computer program, wherein the computer program is executed by a processor to implement the digital twin virtual method of the power distribution terminal device as described above.

[0058] In one embodiment, a computer program product is provided, comprising computer programs / instructions, which are executed by a processor to implement the digital twin virtual method of the power distribution terminal device as described above.

[0059] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0060] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram.

[0061] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram.

[0062] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram. Figure 1 one or more flows and / or blocks in the flowchart and / or block diagram.< / crm> < / formula> < / fdata> < / pdata> < / formula> < / func> < / func> < / func> < / phy> < / phy> < / iedevice> < / iedevice> < / formula> < / fdata> < / func> < / formula> < / fdata> < / func> < / crm> < / pdata> < / phy> < / crm> < / pdata> < / phy> < / crm> < / formula> < / fdata> < / func> < / crm> < / pdata> < / phy> < / formula> < / fdata> < / pdata> < / crm> < / func> < / phy> < / iedevice> < / formula> < / fdata> < / pdata> < / crm> < / func> < / phy> < / iedevice>

Claims

1. A digital twin virtualization method for power distribution terminal equipment, characterized in that: This method uses a digital twin virtual model to simulate power distribution terminal equipment, wherein the digital twin virtual model includes a physical model, a behavioral model, and a relational model; The physical model is used to describe the physical structure of the power distribution terminal equipment. The architecture of the physical model is a tree-shaped recursive nested structure, starting from the equipment chassis level and recursively nesting to the plug-in level. Each level of the physical model is used to represent the coordinates, dimensions, and type data of the objects at the corresponding level. The behavioral model is used to describe the functional logic of the power distribution terminal equipment. The architecture of the behavioral model is a tree-shaped recursive nested structure, which is used to represent various logical functions of the equipment. The logical functions include relay protection logic functions, current / voltage / power measurement logic functions, and online monitoring logic functions of the equipment. Each level of the behavioral model is used to characterize the input data, output data, and operation rule information of the corresponding logical function. The relational model is used to characterize the mapping and association between objects in the physical model and objects in the behavioral model.

2. The digital twin virtual method for power distribution terminal equipment according to claim 1, characterized in that: The digital twin virtual model is constructed using the following elements: root element, first-level physical model, first-level behavioral model, association relationships, data information in the physical model, input or output data information in the behavioral model, and operation rules corresponding to logical functions. The data information elements in the physical model represent the data information of physical objects. The attribute value of each data information element in the physical model is a string representation of the actual data value. Each data information element in the physical model includes a unit attribute, which represents the data unit. The association relationship elements include source and target attributes, which respectively represent the names of the physical model object and the behavioral model object with the association relationship. The input or output data information elements in the behavioral model represent the functional input or output data information. The attribute value of each input or output data information element in the behavioral model is a string representation of the actual data value. Each input or output data information element in the behavioral model includes a unit attribute, a minimum value attribute, a maximum value attribute, and a step size attribute. The operation rule elements corresponding to logical functions represent the operation rule information of the logical functions. The attribute value of each operation rule element corresponding to the logical functions is a Reverse Polish Notation of the operation rule.

3. The digital twin virtual method for power distribution terminal equipment according to claim 2, characterized in that: The first-level physical model includes at least one data information element from the physical model, zero or more relational elements, and zero or more first-level physical model elements used for recursive nesting as its child elements.

4. The digital twin virtual method for power distribution terminal equipment according to claim 2, characterized in that: The first-level behavior model includes at least one input or output data information element in the behavior model, at least one operation rule element corresponding to a logical function, and zero or more first-level behavior model elements for recursive nesting as its child elements.

5. The digital twin virtual method for power distribution terminal equipment according to claim 1, characterized in that: The physical model is further nested into the component level of the plugin after the nested plugin level.

6. The digital twin virtual method for power distribution terminal equipment according to claim 1, characterized in that: The digital twin virtual model uses XML to describe the power distribution terminal equipment.

7. The digital twin virtual method for power distribution terminal equipment according to claim 1, characterized in that: The elements in a digital twin virtual model include the following attributes: the English name of the model object, the Chinese description of the model object, and the type of the model object.

8. A digital twin virtual system for a power distribution terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the digital twin virtual method for the power distribution terminal equipment as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the digital twin virtual method for the power distribution terminal equipment as described in any one of claims 1 to 7.

10. A computer program product comprising a computer program and / or instructions, characterized in that, When the computer program and / or instructions are executed by the processor, they implement the digital twin virtual method for the power distribution terminal equipment as described in any one of claims 1 to 7.