Debugging method of distribution network protection device self-modeling access master station

By building a rule base on the main station side and using intelligent parsing of self-describing model information, automatic identification and management of distribution network protection devices are achieved, solving the problems of low access efficiency and insufficient flexibility in existing technologies, and realizing efficient and scalable intelligent management.

CN122267993APending Publication Date: 2026-06-23STATE GRID FUJIAN ELECTRIC POWER RES INST +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID FUJIAN ELECTRIC POWER RES INST
Filing Date
2026-02-26
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

In existing technologies, the connection of distribution network protection devices to the distribution network master station relies on manual configuration, which is inefficient, costly, and cannot adapt to the diversity of protection device manufacturers, models, and versions. It lacks flexibility and scalability, making it difficult to iterate and upgrade and posing security risks.

Method used

A standardized protection signal rule base and protection parameter rule base are built on the main station side. Through intelligent parsing and verification of self-describing model information, the automatic identification of protection devices and the automatic point-to-point entry of signals and parameters into the database are realized. Dynamic expansion is supported to achieve intelligent management throughout the entire life cycle.

Benefits of technology

Significantly improves access efficiency, ensures data consistency, enhances system flexibility and scalability, enables intelligent management throughout the entire lifecycle, and avoids errors and omissions introduced by manual operation.

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Abstract

The application relates to a debugging method for self-modeling access of a network protection device to a master station, which comprises the following steps: S1, constructing a standardized protection signal rule library and a protection parameter rule library in advance on the master station side; S2, reading self-description model information reported by the network protection device and performing integrity check on the self-description model information; S3, intelligently analyzing and adaptively accessing by the master station based on the self-description model information and the protection signal rule library and the protection parameter rule library, including: performing model automatic point matching and consistency check, protection signal intelligent access, protection parameter intelligent access, signal and parameter logic consistency check and automatic setting value management; and S4, based on the protection signal rule library, the protection parameter rule library and the access result, performing panoramic monitoring and evaluation on the adaptive access situation of the global network protection device. The application can improve the access efficiency, guarantee the data consistency, enhance the system flexibility and expandability.
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Description

Technical Field

[0001] This invention belongs to the field of power distribution automation technology, specifically relating to a debugging method for use in smart power distribution networks, which enables the master station to automatically complete model point-to-point, signal point-to-point, and parameter point-to-point matching based on the self-describing model information reported by the power distribution network protection device to achieve adaptive access. Background Technology

[0002] With the continuous development of new power systems, distribution networks are rapidly evolving towards intelligence, digitalization, and automation. The widespread integration of diverse loads such as distributed power sources, energy storage devices, and electric vehicles is making the topology and operation of distribution networks increasingly complex, resulting in a growing number of protection types and signals configured at each node. Distribution network substations need to connect to and manage a large number of diverse distribution protection terminals from various manufacturers to meet the demands for rapid fault detection, location, isolation, and restoration of power to non-faulty areas.

[0003] In current engineering practice, when the master station connects to new distribution network protection devices or upgrades processing devices, the connection of its protection functions mainly relies on the traditional manual configuration method, i.e., "point-to-point" work. This process typically includes: 1. Model point-to-point: Maintenance personnel manually create protection device models based on the manufacturer's point list; 2. Signal point-to-point: Manually map protection signals to the master station's remote signaling points; 3. Parameter point-to-point: Manually verify and associate protection setting items to achieve remote operation.

[0004] However, this highly manual access method has significant drawbacks: First, it is inefficient and costly, struggling to adapt to the diversity of protection device manufacturers, models, and versions. Each new terminal requires repeating the tedious manual process, severely hindering large-scale deployment and rapid response capabilities. Second, it lacks flexibility and scalability, failing to effectively handle dynamic expansion of protection functions. Even minor upgrades to terminal software involving new signals or parameters require simultaneous manual modification and debugging on the master station, resulting in slow response times and a high risk of errors. This can lead to mismatches between master station and terminal functions, creating security vulnerabilities and making the iterative upgrade of the entire protection system exceptionally cumbersome.

[0005] Therefore, there is an urgent need for a new method that can enable the master station to adapt and intelligently access the distribution network protection device, and has high compatibility with the diversity of equipment and dynamic expansion of functions. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a debugging method for self-modeling access of distribution network protection devices to the master station, so as to realize the master station's automatic identification, intelligent verification, one-click self-modeling point-to-point and adaptive management of the functions of various distribution network protection devices, thereby improving access efficiency, ensuring data consistency, and enhancing system flexibility and scalability.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a debugging method for self-modeling access to the master station of a distribution network protection device, comprising the following steps:

[0008] S1: Pre-build a standardized protection signal rule base and protection parameter rule base on the main station side;

[0009] S2: Read the self-describing model information reported by the distribution network protection device and perform integrity verification on the self-describing model information;

[0010] S3: Based on the self-describing model information and the protection signal rule base and protection parameter rule base, the main station performs intelligent parsing and adaptive access, including: automatic point-to-point and consistency verification of the execution model, intelligent access of protection signals, intelligent access of protection parameters, logical consistency verification of signals and parameters, and automated setting management;

[0011] S4: Based on the protection signal rule base, protection parameter rule base, and access results, conduct panoramic monitoring and evaluation of the adaptive access status of the entire distribution network protection device.

[0012] Furthermore, in step S1, the protection signal rule base defines the standard data format, naming convention, unique identifier, and mapping relationship between various protection signals and different application scenarios; the protection parameter rule base defines the standard data type, value range, unit, and logical association between various protection setting parameters and protection functions.

[0013] Furthermore, in step S2, the self-describing model information includes at least: the identity information, structural information, protection signal list, and protection parameter list of the distribution network protection device.

[0014] Furthermore, in step S2, self-describing model information is retrieved from the distribution network protection device via file transfer. The self-describing model information is generated based on the extended IEC 61850 rules.

[0015] Furthermore, in step S3, the automatic point-to-point and consistency verification of the model includes: parsing the device interval information in the self-describing model information, automatically matching and associating it with the existing graphical model of the main station, and verifying the consistency of the topology of the two.

[0016] Furthermore, in step S3, the intelligent access of the protection signal includes: matching the list of protection signals in the self-describing model information with the protection signal rule base, verifying the legality and uniqueness of each signal, and automatically establishing the association relationship between the protection device, the device interval and the protection signal.

[0017] Furthermore, in step S3, the intelligent access of protection parameters includes: matching the list of protection parameters in the self-describing model information with the protection parameter rule base, verifying the legality and uniqueness of each parameter, and automatically establishing the association between protection devices and protection parameters.

[0018] Furthermore, in step S3, the signal and parameter logic consistency verification includes: verifying the correlation between the accessed protection parameters and protection signals based on the application type in the self-describing model information, and determining whether the protection functions that should be available in the corresponding application scenario are complete.

[0019] Furthermore, in step S3, the automation of setting management includes: automatically generating a corresponding protection parameter template based on the set of verified protection parameters, generating a standardized setting parameter adjustment notification based on the protection parameter template, and realizing remote modification and recall of setting parameters.

[0020] Furthermore, in step S4, the panoramic monitoring and evaluation includes: counting the number of unmodified and modified terminals of each type, visually displaying the modification progress, and evaluating the access accuracy and functional integrity of the modified terminals.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. Significantly improve access efficiency: This invention achieves automatic identification of protection device models and automatic point-to-point input of signals and parameters into the database through a self-describing model and intelligent parsing engine, without the need for manual intervention, which greatly reduces the workload.

[0023] 2. Ensure data consistency: This invention ensures a high degree of consistency between the main site model and the terminal model through standardized definition of the rule base and multiple verification mechanisms, avoiding errors and omissions introduced by manual operation.

[0024] 3. Enhanced system flexibility and scalability: The rule base in this invention supports dynamic expansion. When a new protection function appears, it is only necessary to add a definition in the rule base. Without modifying the core code of the main site, seamless access to new terminals can be achieved.

[0025] 4. Achieve full life cycle management: This invention achieves intelligent management of the entire life cycle of the protection device, from automatic point matching at the initial access stage to setting management during operation, and then to modification statistics and effect evaluation in the later stage. Attached Figure Description

[0026] Figure 1 A flowchart illustrating the debugging method for the self-modeling access to the master station of the distribution network protection device provided in this embodiment of the invention. Detailed Implementation

[0027] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0028] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0029] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0030] like Figure 1 As shown, this embodiment provides a debugging method for a distribution network protection device to self-model and access the master station, including the following steps:

[0031] S1: Construction of the Main Station Rule Base. Within the main station system, two core rule bases are pre-built: a protection signal rule base and a protection parameter rule base. The protection signal rule base defines the standard data format, naming conventions, unique identifiers, and mapping relationships between various protection signals and different application scenarios. The protection parameter rule base defines the standard data types, value ranges, units, and logical associations with protection functions for various protection setting parameters. These rule bases support dynamic expansion to adapt to the needs of future new protection functions.

[0032] S2: Read the self-describing model information of the distribution network protection device. The distribution network master station uses a communication protocol to recall the self-describing model information file generated by the distribution network protection device based on the extended IEC 61850 standard, and reads and verifies the integrity of the file content one by one. The self-describing model information includes at least the identity information, structural information, protection signal list, and protection parameter list of the distribution network protection device.

[0033] S3: Main Site Intelligent Resolution and Adaptive Access. After the main site parses the self-description file, it starts the intelligent resolution engine and executes the following closed-loop verification and construction process in sequence:

[0034] Automatic model alignment and consistency verification: Parse the equipment interval information reported by the distribution network protection device, automatically match and associate it with the existing graphical model of the master station, and verify the consistency of the two in terms of topology.

[0035] Intelligent access to protection signals: The list of protection signals reported by the terminal is matched with the protection signal rule base to verify the legality and uniqueness of each signal, and the association between "protection device - device interval - protection signal" is automatically established to complete the point-to-point entry of the signal into the database.

[0036] Intelligent access to protection parameters: The list of protection parameters reported by the terminal is matched with the protection parameter rule base to verify the legality and uniqueness of each parameter, and the association between "protection device and protection parameter" is automatically established.

[0037] Signal and parameter logic consistency verification: Based on the application type reported by the terminal, the correlation verification of the accessed protection parameters and protection signals is performed to determine whether the protection functions that should be available in this application scenario are complete, and abnormal situations are identified.

[0038] Automated setting management: Based on the verified set of protection parameters, the system automatically generates a protection parameter template for this type of terminal, and adaptively generates a standardized setting parameter adjustment notification based on this template. Then, it enables remote modification and recall of settings through the established parameter channels.

[0039] S4: Adaptive Access Panoramic Management. The main station provides a management view that, based on a defined rule base, provides panoramic monitoring and evaluation of the adaptive access status of all protection devices. This includes counting the number of unmodified and modified terminals of each type, visually displaying the overall network modification progress, and evaluating the access accuracy and functional completeness of modified terminals.

[0040] The following specific embodiment further illustrates the implementation process of the debugging method for self-modeling access to the master station of the distribution network protection device provided by the present invention.

[0041] Step 1: Building and maintaining the main site's rule base.

[0042] Two core rule bases are pre-built and maintained within the main site system.

[0043] 1. Protection signal rule base:

[0044] Structure definition: This library must contain at least the following fields: protection signal primary key code, protection signal general code, signal standard name (e.g., "overcurrent stage I action"), signal type (e.g., "protection action", "alarm", "status"), protection type to which the protection signal belongs, application type to which the protection signal belongs (e.g., "sectionalizing switch", "tethering switch", "distributed power access point"), whether the signal is required, and uniqueness constraint rules.

[0045] Data initialization: Based on local industry standards or signal specifications, pre-enter all known protection signals in the distribution network.

[0046] 2. Protection parameter rule base:

[0047] Structure definition: This library should contain at least the following fields: protection parameter code, protection parameter standard name (e.g., "overcurrent I-stage setting"), protection parameter data type (e.g., "floating-point" or "integer"), unit of measurement (e.g., "A" or "s"), reasonable value range, application type, and relationship with the signal.

[0048] Dynamic expansion: When new protection functions emerge, operations and maintenance personnel can add new signal and parameter definitions to the rule base through the management interface without modifying the core program code of the main station.

[0049] Step 2: Read the self-describing model information of the distribution network protection device.

[0050] After receiving the access application from the distribution network protection device, the distribution network master station performs the following operations:

[0051] 1. Model file recall: The master station issues a recall command for the corresponding self-reading model file to the protection device through the "file transfer" service of the IEC 104 protocol. The corresponding model information is recalled to the master station through the file and sent to the parsing service after being named according to the terminal ID.

[0052] 2. Model Reading: The parsing service determines whether the model information conforms to a structured data file format. If the file format requirements are met, it reads the protection device's model information, protection signal information, and protection parameter information sequentially according to the defined file order. It then checks the completeness of the read information based on the information in the file before finally sending it to the adaptive access engine.

[0053] Step 3: Intelligent parsing and adaptive access of the main site.

[0054] After the main site finishes parsing the file, it triggers the adaptive access engine and executes the following sub-steps in sequence:

[0055] 1. Model matching and consistency verification:

[0056] Parse the equipment bay information in the file. Based on the information such as the line and substation to which the protection device belongs, locate the equipment within that range in the main station's graphical modeling system, and search for bay models with the same name or description.

[0057] Automatic alignment: The found master station interval model is bound to the interval information reported by the terminal. If the corresponding interval cannot be found or the name does not match, a "model inconsistency" alarm is generated, and subsequent processes are paused, awaiting intervention from operations and maintenance personnel.

[0058] 2. Protect the legitimate access of the signal:

[0059] The adaptive engine reads all protection feature signals from the signal list.

[0060] The signal name field is used as the key to match the protection signal rule base established by the main station.

[0061] Verification: Check if the signal is in the rule base (legitimacy) and if there is a signal with the same name in the same interval (uniqueness). For signals whose application type is "segment switch" and whose necessity is "yes" (such as "overcurrent I segment action"), if the terminal does not report, record a "missing necessary signal" alarm.

[0062] Automatic database creation: For all verified signals, the system automatically creates corresponding remote signaling points in the main station's real-time database and associates them with the interval model bound in step 1. Corresponding protection signal fault characteristics are then set.

[0063] 3. Ensure the legality of protected parameters:

[0064] Similarly, the protection parameter list is read and matched with the protection parameter rule base for validity and uniqueness verification.

[0065] Automatic database creation: For parameters that pass verification, determine whether there is already a parameter template of the same type in the data. If there is no corresponding template, automatically create an associated template according to the application type, and the system will automatically create a corresponding protection setting point table in the main station real-time database and associate it with the equipment model bound in step 1.

[0066] 4. Signal and parameter logic consistency verification:

[0067] The engine identifies the application scenario based on the application type reported by the terminal. It then queries the rule base to check the correlation between parameters and signals under that application type. If a parameter is associated but no corresponding signal type exists, a "logical inconsistency" report is submitted.

[0068] 5. Automated setting management:

[0069] Based on the automatically generated setting parameter template in step 3, when the protection device needs to be set, the main station can automatically fill in the setting items, units, and value ranges based on this template, generating a structured setting parameter setting notification form, which greatly reduces the workload of manual writing. After verifying the notification form, maintenance personnel can modify the setting on the main station interface, send it to the terminal through the "write parameter" command (such as C_SE) of the 104 protocol, and automatically call and verify it, completing the remote modification closed loop.

[0070] Step 4: Adaptive access to panoramic management.

[0071] The main system provides a visual management interface that enables the following functions.

[0072] Statistics Dashboard: The system backend automatically counts the number of terminals for each application type by querying the rule base and the application scenario types reported by the protection devices. For example, all terminals with the application type "segment switch" that have been successfully connected are filtered out and recorded as "number of terminals that have been modified"; the number of terminals that have been modified is subtracted from the full list of terminals to obtain the number of terminals that have not been modified.

[0073] Progress visualization: Displays the percentage of progress of various protection devices in the form of charts.

[0074] Effect evaluation: The system can monitor the terminal operation data (such as signal correct action rate and set value verification success rate) after it is connected, generate an evaluation report, and quantify the transformation effect.

[0075] This embodiment also provides a debugging system for a distribution network protection device to self-model and access the master station, including a memory, a processor, and computer program instructions stored in the memory and executable by the processor. When the processor executes the computer program instructions, it can implement the above-mentioned method.

[0076] This embodiment also provides a computer device, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which implement the above-described method when executed by the processor.

[0077] This embodiment also provides a computer-readable storage medium storing computer program instructions that, when executed by a processor, implement the above-described method.

[0078] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0079] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0080] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0081] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0082] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A debugging method for self-modeling access to the master station of a distribution network protection device, characterized in that, Includes the following steps: S1: Pre-build a standardized protection signal rule base and protection parameter rule base on the main station side; S2: Read the self-describing model information reported by the distribution network protection device and perform integrity verification on the self-describing model information; S3: Based on the self-describing model information and the protection signal rule base and protection parameter rule base, the main station performs intelligent parsing and adaptive access, including: automatic point-to-point and consistency verification of the execution model, intelligent access of protection signals, intelligent access of protection parameters, logical consistency verification of signals and parameters, and automated setting management; S4: Based on the protection signal rule base, protection parameter rule base, and access results, conduct panoramic monitoring and evaluation of the adaptive access status of the entire distribution network protection device.

2. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S1, the protection signal rule base defines the standard data format, naming convention, unique identifier, and mapping relationship between various protection signals and different application scenarios; the protection parameter rule base defines the standard data type, value range, unit, and logical association between various protection setting parameters and protection functions.

3. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S2, the self-describing model information includes at least: the identity information, structural information, protection signal list, and protection parameter list of the distribution network protection device.

4. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S2, self-describing model information is retrieved from the distribution network protection device via file transfer. The self-describing model information is generated based on the extended IEC 61850 rules.

5. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S3, the automatic point-to-point and consistency verification of the model includes: parsing the device interval information in the self-describing model information, automatically matching and associating it with the existing graphical model of the main station, and verifying the consistency of the topology of the two.

6. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S3, the intelligent access of protection signals includes: matching the list of protection signals in the self-describing model information with the protection signal rule base, verifying the legality and uniqueness of each signal, and automatically establishing the association relationship between protection devices, device intervals and protection signals.

7. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S3, the intelligent access of protection parameters includes: matching the list of protection parameters in the self-describing model information with the protection parameter rule base, verifying the legality and uniqueness of each parameter, and automatically establishing the association between protection devices and protection parameters.

8. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S3, the signal and parameter logic consistency verification includes: verifying the correlation between the connected protection parameters and protection signals based on the application type in the self-describing model information, and determining whether the protection functions that should be available in the corresponding application scenario are complete.

9. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S3, the automation of setting management includes: automatically generating a corresponding protection parameter template based on the set of verified protection parameters, generating a standardized setting parameter adjustment notification based on the protection parameter template, and realizing remote modification and recall of setting parameters.

10. The debugging method for self-modeling access to the master station of a distribution network protection device according to claim 1, characterized in that, In step S4, the panoramic monitoring and evaluation includes: counting the number of unmodified and modified terminals of each type, visually displaying the modification progress, and evaluating the access accuracy and functional integrity of modified terminals.