Power grid data static topology sharing system and method

Abstract

The invention discloses a power grid data static topology sharing system and method, and relates to the technical field of power grids, and the system comprises a data static topology module and a shared data module. The data static topology module is used for acquiring node data, calculating equipment dynamics, combining distributed data with topology data and judging required connection points; and the shared data module is used for classifying the data collected in each data source directory, constructing a database set formed by different types of data, generating a shared data model and performing data display sharing. According to the method, the devices with the direct or indirect connection relation are aggregated together in advance to obtain the topological island, so that traversal only needs to be carried out on the topological island to which the to-be-analyzed device belongs during analysis, the whole power grid does not need to be involved, the operand is greatly reduced, and the analysis efficiency is improved. A large number of topological nodes can be efficiently processed, and high real-time performance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grids, and in particular to a system and method for sharing static topology of power grid data. Background Art

[0002] The power grid system is an electric energy production and consumption system composed of power plants, transmission and transformation lines, power supply and distribution stations, and power consumption links. Its function is to convert natural primary energy into electric energy through power generation devices, and then supply electric energy to various users through transmission, transformation and distribution. To achieve this function, the power grid system also has corresponding information and control systems in various links and at different levels to measure, adjust, control, protect, communicate and dispatch the production process of electric energy. However, at present, the power grid can only report and communicate the operation of equipment on the distribution network operation site by telephone. The dispatching and operation personnel have no effective basis for verification and cannot correctly judge whether the on-site operating equipment is consistent with the work ticket requirements. On-site safety management and control relies entirely on on-site supervision by personnel, which requires a large number of personnel. At present, the general safety patrol is not fully equipped to deal with the multi-faceted operation sites of distribution network points, resulting in the lack of on-site supervision, operation without tickets and operation without safety measures becoming a high incidence phenomenon.

[0003] The common solutions currently available have many shortcomings, including: First, existing information technology cannot timely integrate and summarize information for risk analysis and assessment, cannot implement active sound and light warning prompts in the background, is difficult to implement process management and personalized reading, cannot perform the most simplified operations and systematized associations, and cannot form flexible work instructions; second, with the rapid expansion of the service scope of the power grid dispatching and control system, the increase in data sources and the diversity of data types, the data scale and storage pressure have increased dramatically, and the control business has continuously increased its requirements for efficient storage and rapid processing of massive multi-source data. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to provide a static topology sharing system for power grid data, overcome the problem that the existing technology needs to involve the entire power grid when performing analysis, reduce the amount of calculation, improve the ability to process a large number of topological nodes and have a higher real-time method.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a power grid data static topology sharing system, which includes a data static topology module and a shared data module; the data static topology module is used to obtain node data, calculate device dynamics, and combine the allocated data with the topology data to determine the required connection points; the shared data module is used to classify the data collected in each data source directory, construct a database set formed by data of different categories, generate a shared data model and display and share the data.

[0008] As a preferred solution of the power grid data static topology sharing system described in the present invention, the acquisition of node data and calculation of device dynamics refers to that when the data static topology module is established, all switching devices are regarded as disconnected, each node is regarded as a topological island, a universal traverser is established and the topological island is traversed, node data is acquired and device dynamics is calculated; the traverser is composed of topological island data, a traversal interface and a dynamic information receiving and modifying node.

[0009] As a preferred solution of the power grid data static topology sharing system described in the present invention, the classification of the data collected in each data source directory refers to classifying the data collected in each data source directory when the shared data module is established, arranging directories of different categories based on the type of data, selecting the storage database to store according to the data type, and processing the data according to different instructions.

[0010] As a preferred solution of the power grid data static topology sharing system described in the present invention, wherein: the combination of the allocated data and the topology data to determine the required connection points means that after the data static topology module is established, the data needs to be matched. During the matching, different data are first stored in the system for allocating services, and the allocated data and the topology data are combined to determine the required connection points.

[0011] As a preferred solution of the power grid data static topology sharing system described in the present invention, the construction of a database set formed by different categories of data includes the following steps: after the shared data module is established, the databases formed by different categories of data are connected to the server, wherein the database set formed by different categories of data is a full data system; after the full data system sends a signal to the processing system, the processing system will judge, analyze and process the sent signal; the processing system inputs the analyzed and processed signal to the sorting output end, and finally the signal is input to the terminal.

[0012] As a preferred solution of the power grid data static topology sharing system described in the present invention, the generation of a shared data model and the display and sharing of data include the following steps: the shared data module obtains different categories of data information of the power grid and performs standardized processing and integration; different categories of data information generate interactive models in the shared data module, and the shared data model is generated after the interactive models are fused; the shared data model displays and shares the data.

[0013] As a preferred solution of the grid data static topology sharing system of the present invention, wherein: the treating each node as a topological island includes setting up regional nodes, setting up physical device nodes and node connections; the setting up regional nodes refers to setting up regional nodes based on node parameters, and then setting up physical device nodes in different regions on the basis of nodes; the node parameters include the number of grid layers, the number of partitions, routing nodes and the ratio of power storage capacity; the setting up physical device nodes refers to setting up a double-ring skeleton structure according to the Internet architecture, and the middle level is a hierarchical ring network structure; the node connection includes the following steps: intra-layer partitioning and intra-area ringing connect the nodes into a ring, and the following conditions are met:

[0014] ∑e(n ij ,n hk )=pNl

[0015] Among them, n ij is the intra-layer partition; n hk is the ring in the area; p is the network partition of each layer; N is the set of routing nodes; l is the number of layers of the power Internet; when connecting nodes, the network diameter, average distance and clustering coefficient parameters are calculated. The specific formula of network diameter is as follows:

[0016] D = maxd

[0017] Where D is the network diameter and d is the shortest path length between x and y.

[0018] On the second aspect, in order to further solve the security problems existing in the power grid, the embodiments of the present invention provide a method for sharing static topology of power grid data, which includes: using a universal traverser to obtain node data and calculate device dynamics; classifying the obtained data to form different category directories and storing them in databases of corresponding categories; connecting databases of different categories of data to servers to form a full data system, and the full data system sends signals to a processing system for analysis and processing and then outputs them to a terminal; setting regional nodes and setting a dual-ring skeleton structure according to the Internet architecture.

[0019] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the power grid data static topology sharing system as described in the first aspect of the present invention is implemented.

[0020] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the power grid data static topology sharing system as described in the first aspect of the present invention is implemented.

[0021] Beneficial effects of the invention: The present invention proposes a static topology sharing system and method for power grid data, which obtains a topology island by aggregating devices with direct or indirect connection relationships in advance, so that when performing analysis, it is only necessary to traverse the topology island to which the device to be analyzed belongs, without involving the entire power grid, thereby greatly reducing the amount of calculation; when the switch state in the power grid changes or it is necessary to simulate certain equipment failures, the present invention has high performance and real-time performance while also having high scalability; the present invention has the characteristics of a large number and type of equipment, a complex topology structure, and frequent changes in node status in the power system, and can efficiently process a large number of topology nodes with high real-time performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0023] Figure 1 Schematic diagram of the system of the present invention in Example 1.

[0024] Figure 2 This is a flow chart of establishing the static topology of the present invention in Example 1.

[0025] Figure 3 This is a flow chart of the sharing system of the present invention in Example 1.

[0026] Figure 4 This is a schematic diagram of the structure of the computer device in Example 3. DETAILED DESCRIPTION

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0028] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0029] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0030] Example 1

[0031] Reference Figure 1 to Figure 3 , which is the first embodiment of the present invention, and which provides a power grid data static topology sharing system, including:

[0032] Data static topology module and shared data module, such as Figure 1 Shown is a schematic diagram of the system of the present invention.

[0033] It should be noted that when establishing a data static topology module, topology data of different schedules will be analyzed in different categories in the data static topology module. After analyzing different categories of data, different data processing methods will be selected according to the data situation. After completing the analysis and processing of the data, the data situation will be judged. Finally, different business connection points will be selected according to the analyzed and processed data; the static topology data module can adjust the data allocation method according to different categories of data, and complete the matching of the scheduling topology data according to the selected business connection point. After the topology data is allocated, the scheduling business will be connected to the corresponding business system, so that the sharing and application of the topology data are supported by the system, thereby realizing the sharing of topology data.

[0034] Secondly, after the shared data module is established, the shared data module will identify different categories of data, and different types of data will be calculated and processed accordingly based on the identification results; the shared data module will analyze and process the calculated data, and the processed data will be sorted by the shared data module. Finally, the data can be shared by converting it.

[0035] Finally, the power grid data static topology sharing system needs to first establish a data static topology module, and then establish a shared data module. After the shared data module is built, the shared data module can perform data exchange, graph-model interaction, and data fusion sharing. Through different categories of data exchange, the shared data module can obtain different source data information of the power grid; based on the construction of the shared data module, graph-model data can be shared; the shared data module can process and integrate different source data information of the power grid through the sharing of graph-model data to obtain different source data information, and the combination of graph-model data and different source data can be constructed into a model unit to realize data sharing.

[0036] Preferably, Figure 2 The flowchart of the static topology establishment of the present invention is shown. The data static topology module is used to obtain node data, calculate device dynamics, and combine the allocated data with the topology data to determine the required connection points.

[0037] Specifically, obtaining node data and calculating device dynamics means that when the data static topology module is established, all switching devices are regarded as disconnected, each node is regarded as a topological island, a universal traverser is established and the topological island is traversed, node data is obtained and device dynamics are calculated.

[0038] Furthermore, the traverser is composed of topological island data, traversal interface and dynamic information receiving and modifying nodes.

[0039] Furthermore, treating each node as a topological island includes setting up regional nodes, setting up physical device nodes and node connections.

[0040] Specifically, setting the regional nodes refers to setting the regional nodes based on the node parameters, and then setting the physical device nodes in different regions based on the nodes.

[0041] Specifically, the node parameters include the number of grid layers, the number of partitions, routing nodes, and the ratio of power storage capacity.

[0042] Specifically, setting up physical device nodes refers to setting up a double-ring skeleton structure according to the Internet architecture, with the middle level being a hierarchical ring network structure.

[0043] Furthermore, the node connection includes the following steps: intra-layer partitioning and intra-zone ringing to connect the nodes into a ring, satisfying the following conditions:

[0044] ∑e(n ij ,n hk )=pNl

[0045] Among them, n ij is the intra-layer partition; n hk is the ring within the area; p is the network partition at each layer; N is the set of routing nodes; l is the number of layers of the power Internet.

[0046] When connecting nodes, the network diameter, average distance and clustering coefficient parameters are calculated. The specific formula for network diameter is as follows:

[0047] D = maxd

[0048] Where D is the network diameter and d is the shortest path length between x and y.

[0049] Specifically, combining the allocated data with the topological data and determining the required connection points means that after the data static topology module is established, the data needs to be matched. During the matching, different data is first stored in the system for allocating services, and the allocated data and the topological data are combined to determine the required connection points.

[0050] Preferably, the present invention regards the switching devices in the power grid as being in a disconnected state, and each node as a topological island, and uses a universal traverser to traverse them. Therefore, during analysis, only the topological island needs to be traversed instead of the entire power grid, thereby greatly reducing the amount of calculation. Compared with the traditional method that needs to traverse the entire power grid, even if some devices are not related to the analysis, calculations are still performed. The present invention limits the calculation scope and improves the calculation efficiency by dividing the topological islands. In particular, when the device status changes, the merging or splitting operations of the topological islands can still ensure the high efficiency and real-time performance of the system.

[0051] Preferably, Figure 3 The figure shows a flow chart of the sharing system established in the present invention. The shared data module is used to classify the data collected in each data source directory, construct a database set formed by data of different categories, generate a shared data model and perform data display and sharing.

[0052] It should be noted that during the operation of the system, different time stamps will appear in the shared data module. The time stamps are used for timed data updates, and timed data updates can collect data of different categories. When data is collected at different times, the static topology module and the shared data module can obtain new data information, and the display and sharing of different data improves the efficiency of data maintenance and application.

[0053] Specifically, classifying the data collected in each data source directory means classifying the data collected in each data source directory when the shared data module is established, arranging directories of different categories based on the type of data, selecting the storage database to store according to the data type, and processing the data according to different instructions.

[0054] It should be noted that after identifying different categories of data, the shared data module will quickly calculate and process the identified data, and the calculated data will be processed by the shared data model again, and the processed data will be converted and shared.

[0055] Specifically, constructing a database set formed by different categories of data includes the following steps: after the shared data module is established, the databases formed by different categories of data are connected to the server, wherein the database set formed by different categories of data is a full data system.

[0056] After the full data system is sent to the processing system through a signal, the processing system will judge, analyze and process the sent signal.

[0057] The processing system inputs the analyzed and processed signal to the sorting output terminal, and the final signal is input to the terminal.

[0058] Furthermore, generating a shared data model and performing data display and sharing includes the following steps: a shared data module obtains data information of different categories of the power grid and performs standardized processing and integration to ensure data consistency and comparability, wherein the shared data module is used to realize data exchange, interaction and integration.

[0059] Different categories of data information generate interactive models in the shared data module, and the interactive models are integrated to generate a shared data model to ensure the comprehensive display and sharing of data.

[0060] The shared data model displays and shares data, enabling it to be effectively used in multiple terminals and systems to support the operation and management of the power grid.

[0061] Preferably, the shared data module ensures that the power grid data can be updated in real time and shared effectively by collecting, classifying, calculating, processing and converting different types of data. The system enhances its adaptability to dynamic power grid conditions by collecting and updating data at different times. By standardizing and integrating different types of data, the consistency and comparability of the data are ensured, providing accurate operating data for power grid managers and supporting the decision-making analysis of the system.

[0062] Specifically, the present invention aggregates devices with direct or indirect connection relationships in advance to obtain a topological island. When performing analysis, it is only necessary to traverse the topological island to which the device to be analyzed belongs without involving the entire power grid, which greatly reduces the amount of calculation. However, when the switch state in the power grid changes or it is necessary to simulate certain equipment failures, the topological island may be merged / split, and the performance overhead is relatively large. Based on the depth-first tree, directed graph search method and existing topological island aggregation method, the static topology sharing system of the power grid has high performance and real-time performance while also having high scalability.

[0063] Secondly, the shared data module in the power grid data static topology sharing system can accept resource data of different categories at different times. The data received by the shared data module will be re-edited, and the data collected in the shared data module will be classified. The classified resource data will be edited into directory categories. The re-edited and classified resource data can be connected to the power resource classification system. After the shared data module obtains the directory category, the shared data module can customize the sorting of the directory category. The shared data module can impose privacy settings on the directory category. After the privacy setting, the directory category is not allowed to be viewed arbitrarily. It needs to be reviewed when it needs to be viewed. After passing the review, it can be authorized to view; the shared data module processes and analyzes the information data within the site. After the data is analyzed and processed, it can be determined whether the power grid is abnormal. In response to the occurrence of abnormal information, the shared data module will issue instructions based on the data, and the instructions will be directly issued to the terminal. During the process of issuing instructions, abnormal data will be collected in real time, so as to assign staff for maintenance.

[0064] Finally, according to usage requirements, users need to establish an identity database in advance, and then establish a password database after the identity database is established. The identity information and password information in the database need to correspond. After the identity database and password database are established, the account information and password information need to be sent to the user, so that the user can log in to the power grid system to facilitate user data information.

[0065] In summary, the present invention proposes a static topology sharing system and method for power grid data, which obtains a topology island by aggregating devices with direct or indirect connection relationships in advance, so that when performing analysis, it is only necessary to traverse the topology island to which the device to be analyzed belongs, without involving the entire power grid, thereby greatly reducing the amount of calculation; when the switch state in the power grid changes or it is necessary to simulate certain equipment failures, the present invention has high performance and real-time performance while also having high scalability; the present invention has the characteristics of a large number and type of equipment, a complex topological structure, and frequent changes in node status in the power system, and can efficiently process a large number of topological nodes with high real-time performance.

[0066] Embodiment 2 is an embodiment of the present invention, which provides a method for sharing static topology of power grid data, including: using a universal traverser to obtain node data and calculate device dynamics; classifying the obtained data to form different category directories and storing them in databases of corresponding categories; connecting databases of different categories of data to a server to form a full data system, and the full data system sends signals to a processing system for analysis and processing and then outputs them to a terminal; setting regional nodes and setting a dual-ring skeleton structure according to the Internet architecture.

[0067] Embodiment 3 is an embodiment of the present invention, which is different from the previous embodiment in that:

[0068] like Figure 4 As shown, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0070] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0072] Embodiment 4 is an embodiment of the present invention, which provides a power grid data static topology sharing system. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0073] This example selects part of a power grid for data collection, collects the switch device status, power storage capacity, and regional node parameter data of each node in the power grid, and all collected data first enters the data static topology module to establish a topological data model and analyze it. When analyzing the topological data, all switch devices are first regarded as disconnected, and each node is regarded as a topological island. By setting regional nodes, physical device nodes, and node connections, a preliminary topological model is formed.

[0074] Secondly, by traversing each topological island, the dynamic state of the power grid equipment is calculated, especially when equipment failure or switch state changes occur, the topological islands are merged and split; after the shared data module is established, different categories of data are identified and classified, where the shared data module can quickly calculate and process the collected power grid data, and finally transform and share the processed data; through the shared data module, various types of resource information of the power grid are effectively exchanged and integrated, and a data sharing model is generated and displayed. Table 1 shows the performance comparison data of the traditional power grid system and the system of the present invention.

[0075] Table 1 Performance comparison between traditional power grid system and the system of the present invention

[0076]

[0077] As can be seen from the above table, the system of the present invention has demonstrated significant advantages in many aspects. In the static topology module of power grid data, the calculation time of the system of the present invention is significantly lower than that of the traditional system, indicating that the system of the present invention reduces redundant calculations and improves the real-time performance of the system through optimized topological island division and traversal strategies; the improvement of network diameter and average distance shows that the layout of the power grid topology of the system of the present invention is more optimized, and the topological structure of the network is more compact, thereby improving data transmission efficiency; the improvement of the clustering coefficient shows that the connectivity between the topological islands of the present invention is stronger, and the redundancy and fault resistance of the power grid are enhanced.

[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power grid data static topology sharing system, characterized by: include: Data static topology module and shared data module; The data static topology module is used to obtain node data, calculate device dynamics, and combine the allocated data with the topology data to determine the required connection points; The shared data module is used to classify the data collected in each data source directory, build a database set formed by data of different categories, generate a shared data model and display and share the data.

2. The power grid data static topology sharing system according to claim 1, characterized in that: The obtaining of node data and calculating of device dynamics refers to that when the data static topology module is established, all switch devices are regarded as disconnected, each node is regarded as a topology island, a universal traverser is established and the topology island is traversed, node data is obtained and device dynamics are calculated; The traverser is composed of topological island data, traversal interface and dynamic information receiving and modifying node.

3. The power grid data static topology sharing system according to claim 2, characterized in that: The classification of the data collected in each data source directory refers to classifying the data collected in each data source directory when the shared data module is established, arranging directories of different categories based on the type of data, selecting a storage database to store according to the data type, and processing the data according to different instructions.

4. The power grid data static topology sharing system according to claim 3, characterized in that: Combining the allocated data with the topological data and determining the required connection points means that after the data static topological module is established, the data needs to be matched. During the matching, different data is first stored in the system for allocating services, and the allocated data and the topological data are combined to determine the required connection points.

5. The power grid data static topology sharing system according to claim 4, characterized in that: The construction of a database set formed by different categories of data includes the following steps: After the shared data module is established, the databases formed by different types of data are connected to the server, wherein the databases formed by different types of data are collected as a full data system; After the full data system is sent to the processing system through signals, the processing system will judge, analyze and process the sent signals; The processing system inputs the analyzed and processed signal to the sorting output terminal, and the final signal is input to the terminal.

6. The power grid data static topology sharing system according to claim 5, characterized in that: The generating of the shared data model and performing data display and sharing comprises the following steps: The shared data module acquires different types of data information of the power grid and performs standardized processing and integration; Different types of data information generate interactive models in the shared data module, and the interactive models are fused to generate a shared data model; The shared data model displays and shares data.

7. The power grid data static topology sharing system according to claim 6, characterized in that: The treating each node as a topological island includes setting up regional nodes, setting up physical device nodes and node connections; Setting the regional nodes refers to setting the regional nodes based on the node parameters, and then setting the physical device nodes in different regions based on the nodes; The node parameters include the number of grid layers, the number of partitions, routing nodes, and the ratio of power storage capacity; The setting of physical device nodes refers to setting a double-ring skeleton structure according to the Internet architecture, and the middle level is a hierarchical ring network structure; The node connection comprises the following steps: Intra-layer partitioning and intra-zone ringing connect nodes into a ring, which meets the following conditions: ∑e(n ij ,n hk )=pNl Among them, n ij is the intra-layer partition; n hk is the ring in the area; p is the network partition at each layer; N is the set of routing nodes; l is the number of layers of the power Internet; When connecting nodes, the network diameter, average distance and clustering coefficient parameters are calculated. The specific formula for network diameter is as follows: D = maxd Where D is the network diameter and d is the shortest path length between x and y.

8. A method for sharing static topology of power grid data, based on the static topology sharing system of power grid data according to any one of claims 1 to 7, characterized in that: include, Use the universal traversal to obtain node data and calculate device dynamics; Classify the acquired data, form different category directories and store them in the database of corresponding categories; Connecting databases of different types of data to servers to form a full data system, which sends signals to a processing system for analysis and processing before outputting them to a terminal; Set up regional nodes and set up a double-ring skeleton structure based on the Internet architecture.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the power grid data static topology sharing system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power grid data static topology sharing system according to any one of claims 1 to 7 are implemented.

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