A method and system for isomorphic power grid topology mapping

Abstract

The application discloses a method and system for homologous heterogeneous power grid topology mapping, and belongs to the technical field of power system simulation calculation. The method comprises the following steps: establishing a classification database according to a classification result; determining the mapping mode of homologous heterogeneous power grid equipment according to the type of power grid equipment and the modeling mode of power grid equipment; determining the unique power grid topology of the first-level network of the power grid network; determining the electrical data of the second-level network according to the power grid topology, and mapping the electrical data to the classification database; determining the primary equipment data of the third-level network according to the power grid topology, and mapping the equipment data to the classification database; for the external network, generating a supplementary file according to the power grid topology of the primary equipment connected by the external network, and mapping the supplementary file to the database. The application realizes the fusion of multi-source data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system simulation calculation, and more particularly, to a method and system for isogenous heterogeneous power transmission network topology mapping. BACKGROUND

[0002] At present, in the field of domestic power transmission network data management and simulation calculation, simulation analysis is roughly divided into two modes, offline and online modes. Offline mode usually uses BPA or PSASP power calculation and analysis program to simulate and analyze the pre-built power grid model. One is based on online data such as D5000 power grid measurement QS file, combined with offline power grid data, to generate a set of calculation model conforming to the power grid operation condition, and then perform power flow, stability and other calculation and analysis through the BPA or PSASP software mentioned above. For power grid simulation calculation related data, unlike sound, image and other data, it has standardized equipment parameter model or simulation calculation model. Different simulation calculation programs are based on real power grid modeling and analysis. In theory, it can realize complete correspondence of equipment parameters and network topology (equipment and equipment, electrical relationship between equipment), i.e. lossless mapping, and then realize the fusion of multi-source power grid data, maximize the value of power grid big data, and is a means to realize the structuring, correlation, integration and reduction of power grid data, making the data highly available, and exploring and recognizing the stability of power grid to a new depth and breadth.

[0003] However, the different power grid modeling methods and equipment support granularities of the systems make direct and complete mapping impossible. For example, the electrical relationships between devices are not fully corresponded. PSDB and D5000 are typical offline and online systems, respectively. Both have built mathematical models of the power grid, but their focuses and equipment modeling are different. PSDB focuses on the full life cycle maintenance of primary equipment and the coordinated maintenance of the power grid on top of it. It takes the power grid operating conditions at a certain time period as a method to manage the equipment commissioning status and perform simulation analysis calculations. In the description of primary equipment, it emphasizes simulation calculation modeling, simplifies switching equipment and physical buses, and abstracts disconnect switches and circuit breakers into station switching lines. Physical buses are merged and abstracted into bus nodes. The D5000 system performs actual measurement of the operating status of primary equipment in the entire power grid, including primary equipment parameters (including: physical buses, disconnect switches, circuit breakers), equipment commissioning status, and topology nodes with zero electrical distance under operating conditions. The power grid equipment and their electrical connections in PSDB and D5000 can be described using nodes and edges in graph theory. Equipment such as lines, transformers, and generators can be mapped one-to-one. However, the topology nodes in SCADA are dynamic. In each QS file, they change constantly according to the status of switching equipment (disconnectors, circuit breakers, etc.) at the time of power grid measurement. They cannot be directly mapped to the bus nodes of PSDB. Consequently, the connection relationship between primary equipment and topology nodes is also dynamic, and it is impossible to directly achieve network mapping in graph theory, that is, a one-to-one mapping between nodes (primary equipment) and edges (electrical topology relationships between equipment).

[0004] Whether using offline simulation calculation models like BPA and PSASP, or online D5000 measurement data, the Power Grid Simulation Data Management Platform (PSDB) organizes and manages the power grid based on a hierarchical and zoning principle. It maintains the power grid by dividing it into five levels: national, grid, provincial, prefectural, and county-level power grid companies, each with different voltage levels. Each unit manages the primary equipment within its jurisdiction, differing only in geographical scope and voltage level. During simulation calculations and analysis, each unit can use the PSDB system to simultaneously debug its regional basic power flow. Sub-centers or higher-level units can combine the basic power flow modules provided by provincial dispatch centers according to inter-provincial cross-sectional power flow through the PSDB system, forming their respective regional basic power flows. Units can also export BPA or PSASP format simulation calculation model files from PSDB, adjust the power grid in their local simulation programs (BPA, PSASP), and then update the adjusted data back to the PSDB system. This also involves the fusion of data from heterogeneous power grids originating from the same source. Summary of the Invention

[0005] To address the above problems, this invention proposes a method for mapping the topology of heterogeneous transmission networks originating from the same source, comprising:

[0006] Acquire multi-dimensional power grid data, classify the multi-dimensional power grid data according to the type of power grid data and operation and maintenance characteristics, obtain the classification results, and establish a classification database based on the classification results;

[0007] Based on the type of power grid equipment and the modeling method of the power grid equipment, determine the mapping method for power grid equipment that is homogeneous but heterogeneous;

[0008] For the first-level network of the power grid, a unique power grid topology is determined;

[0009] Based on the power grid topology, determine the electrical data of the second-level network and map the electrical data to a classification database;

[0010] Based on the power grid topology, determine the primary equipment data of the third-level network and map the equipment data to the classification database;

[0011] For the external network, a supplementary file is generated based on the power grid topology of the primary equipment connected to the external network, and the supplementary file is mapped to the database.

[0012] Optionally, the categorized database includes: an equipment database, a method database, and a solution database, which record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space.

[0013] Optional mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

[0014] Optionally, the method includes: based on the electrical characteristics of the primary equipment of the power grid and the inherent network structure characteristics of the power grid, the topology of the primary equipment of the power grid is decomposed into a three-level network, wherein the three-level network includes: substations and lines as the first-level network, generators, transformers and lines within the substations as the second-level network, and primary equipment within the power station as the third-level network.

[0015] Optionally, supplementary documents may be used to determine the topology and device parameters of the external network.

[0016] This invention also proposes a system for mapping the topology of heterogeneous transmission networks with the same origin, comprising:

[0017] The initialization module acquires multi-dimensional power grid data, classifies the multi-dimensional power grid data according to the type and operation and maintenance characteristics of the power grid data, obtains the classification results, and establishes a classification database based on the classification results.

[0018] The mapping method determination module determines the mapping method for homogeneous but heterogeneous power grid equipment based on the type of power grid equipment and the modeling method of the power grid equipment.

[0019] The mapping module determines a unique power grid topology for the first-level network of the power grid; determines the electrical data of the second-level network based on the power grid topology and maps the electrical data to a classification database; determines the primary equipment data of the third-level network based on the power grid topology and maps the equipment data to a classification database; for the external network, it generates supplementary files based on the power grid topology of the primary equipment connected to the external network and maps the supplementary files to the database.

[0020] Optionally, the categorized database includes: an equipment database, a method database, and a solution database, which record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space.

[0021] Optional mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

[0022] Optionally, a mapping module is used to decompose the topology of the primary equipment of the power grid into a three-level network based on the electrical characteristics of the primary equipment and the inherent network structure of the power grid. The three-level network includes: substations and lines as the first-level network, generators, transformers and lines within the substations as the second-level network, and primary equipment within the power station as the third-level network.

[0023] Optionally, supplementary documents may be used to determine the topology and device parameters of the external network.

[0024] This invention abstracts the power grid topology hierarchically based on the electrical characteristics of primary equipment and the inherent network structure of the power grid. It combines graph theory, binary network, and set methods to achieve topological mapping of the connection relationships of power grid equipment. Based on equipment, mode, and scheme libraries, it enables the independent storage of planning schemes for different equipment, imports the mode operation information of mapped equipment, ensures the integrity of the imported power grid topology and the convergence of power flow results, and thus maps discrete power grid section data to the PSDB time-series power grid data storage, ultimately achieving the fusion of multi-source data. Attached Figure Description

[0025] Figure 1 This is a flowchart of the method of the present invention;

[0026] Figure 2 This is a mapping diagram of the external power grid calculation model of the present invention in the PSDB, showing the methods and schemes.

[0027] Figure 3 This is a diagram of the PSDB primary equipment library table of the present invention;

[0028] Figure 4 This is a table showing the decommissioning status of the PSDB equipment of this invention;

[0029] Figure 5 This is a diagram of the PSDB device mode of the present invention;

[0030] Figure 6 This is a primary wiring diagram of a certain plant in this invention;

[0031] Figure 7 This is a simplified wiring diagram of the primary equipment in the PSDB and D5000 station of this invention;

[0032] Figure 8 This is a line topology diagram of three power plants in a power grid according to the present invention;

[0033] Figure 9 This is a simplified wiring diagram of the primary equipment in the PSDB and D5000 stations in this invention;

[0034] Figure 10 This is the primary equipment association matrix and the mapping relationship between the bus and primary equipment in the binary network of this invention;

[0035] Figure 11 The invention includes a primary equipment association matrix and a mapping diagram of the bus and primary equipment in a bipartite network;

[0036] Figure 12 The invention includes a primary equipment association matrix and a mapping diagram of the bus and primary equipment in a bipartite network;

[0037] Figure 13 The simplified and converted schematic diagram of the primary wiring diagram within the station in this invention;

[0038] Figure 14 This is a flowchart illustrating the process of importing D5000 online data into the PSDB system in this invention.

[0039] Figure 15 This is a topology diagram showing the mapping relationship between online data and PSDB primary equipment in this invention;

[0040] Figure 16 This is a structural diagram of the system of the present invention. Detailed Implementation

[0041] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0042] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0043] This invention aims to achieve "lossless mapping" of BPA and PSASP simulation calculation files (simulation calculation data models exported from the PSDB system) and D5000 online measurement files to the PSDB system through power grid topology analysis and graph theory methods. Specifically, it maps equipment and their electrical connections, and, based on the power grid simulation data management platform's equipment, mode, and scheme libraries, stores independent planning schemes for different equipment and imports the mode operation information of mapped equipment. This ensures the integrity of the imported simulation calculation data model's network structure and power flow convergence, thereby integrating discrete power grid section data (such as SCADA online data every 5 minutes) into the PSDB time-series power grid data storage. This achieves multi-source data fusion and proposes a method for mapping topologies of heterogeneous transmission networks with similar origins. Figure 1 As shown, it includes:

[0044] Acquire multi-dimensional power grid data, classify the multi-dimensional power grid data according to the type of power grid data and operation and maintenance characteristics, obtain the classification results, and establish a classification database based on the classification results;

[0045] Based on the type of power grid equipment and the modeling method of the power grid equipment, determine the mapping method for power grid equipment that is homogeneous but heterogeneous;

[0046] For the first-level network of the power grid, a unique power grid topology is determined;

[0047] Based on the power grid topology, determine the electrical data of the second-level network and map the electrical data to a classification database;

[0048] Based on the power grid topology, determine the primary equipment data of the third-level network and map the equipment data to the classification database;

[0049] For the external network, a supplementary file is generated based on the power grid topology of the primary equipment connected to the external network, and the supplementary file is mapped to the database.

[0050] The classification database includes: equipment database, method database, and solution database. The equipment database, method database, and solution database record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space.

[0051] The mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

[0052] The method includes: based on the electrical characteristics of the primary equipment of the power grid and the inherent network structure characteristics of the power grid, the topology of the primary equipment of the power grid is decomposed into a three-level network. The three-level network includes: substations and lines as the first-level network, generators, transformers and lines within the substations as the second-level network, and primary equipment within the power station as the third-level network.

[0053] The supplementary documents specify the topology and device parameters of the external network.

[0054] The present invention will be further described below with reference to embodiments:

[0055] Based on the design of the power grid simulation data management platform, an equipment library, a method library, and a solution library are established, including:

[0056] Based on the "Specifications for Power System Equipment Parameters and Operation Data Used for Power System Analysis and Calculation", the PSDB system establishes a power transmission and transformation equipment parameter management system and equipment status control platform throughout the entire life cycle of power transmission and transformation equipment. By scientifically managing the parameters and operation data of equipment used for power system calculation and analysis, it ensures the uniqueness, reliability, and consistency of data sources, improves data processing speed, realizes data sharing, and meets the needs of data exchange and integration between different power grids.

[0057] Building upon the above, the scope of data management has been further expanded. Based on the types of power grid data and the characteristics of operation and maintenance, three parts have been established: an equipment library, a method library, and a solution library. These libraries record the parameters of power grid equipment across multiple dimensions—time, region, and space—representing a complete trajectory. The purpose of establishing these libraries is to import and map external system data into them. Figure 2 As shown.

[0058] Firstly, regarding device parameter management, including:

[0059] It provides unified management of primary equipment parameters across the entire network, with a single record for each device across the network. It offers functions such as maintenance of transmission network equipment and parameters, basic information query, parameter version management, incremental information extraction, equipment parameter inspection and verification, and viewing statistical reports.

[0060] The data structure design considers assigning commissioning and decommissioning time attributes to each piece of equipment. Since the power grid structure at each time point is composed of the equipment present at that moment, as long as the commissioning and decommissioning times of each piece of equipment are correctly described, the power grid structure at any given time can be flexibly formed. Furthermore, based on user permissions, it enables collaborative data management and maintenance by simulation calculation and analysis personnel under the principle of power grid hierarchical partitioning. The equipment parameter table structure is as follows: Figure 3 As shown.

[0061] Management is based on the operating mode, including:

[0062] Operation mode management is primarily used to manage operational mode data and information, generating simulation calculation and analysis data. Its main functions include mode framework formulation, operational mode management, topology arrangement, start-up mode arrangement, reactive power and voltage adjustment, cross-sectional power fine-tuning, calculation, data import and export, and graphical curve browsing. It provides a wealth of tools for operational mode formation and collaborative debugging. The database table structure is as follows: Figure 4 As shown, through the power grid hierarchical partitioning structure, the parallel arrangement and automated splicing of power grids under the jurisdiction of different power grid units are realized, and the simulation calculation model mapping (BPA, PSASP) is derived.

[0063] In terms of busbar design, the operation mode of the main busbar wiring in the plant is described by the splitting of the busbar and the opening and closing of the switching lines (simulating disconnectors or circuit breakers).

[0064] Add a spatial dimension to the equipment parameter management library, similar to multi-branch management in version control software. The main branch is the basic scheme, corresponding to currently operational equipment and grid equipment scheduled for future operation. All branch schemes correspond to various future grid planning schemes, forming a complete grid together with the basic scheme. The planning scheme to which equipment belongs is determined by the scheme ID in the equipment parameter library. For equipment that conflicts with equipment in the basic scheme, the equipment in the basic library must first be "retired" in the planning scheme library, and then a new dedicated equipment for this planning scheme must be created. The planning scheme library table structure is as follows: Figure 5 As shown.

[0065] Mapping discrete section data of the external power grid to PSDB time series data includes:

[0066] The external power grid calculation model maps the power grid modeling timestamp to the PSDB's time format, equipment nameplate parameters to the equipment parameter library, and equipment operation information to the operation mode library. It also incorporates a planning scheme library to accommodate differences between external power grid equipment data and the PSDB. This enables the import of multi-source power grid data into the PSDB system, and further allows the fusion of discrete power grid section data (such as SCADA online data every 5 minutes) into the PSDB time-series power grid data storage, achieving multi-source data fusion.

[0067] Mapping of homogeneous and heterogeneous power grid equipment includes:

[0068] Mapping method for data modeling consistent devices:

[0069] For power plants (PSD-BPA has no concept of power plants), generators, transformers, AC lines, etc., a 1:1 mapping can be achieved. Equipment correspondence can be achieved by recording the scheduling names of multi-source power grid data or the primary keys of equipment in different systems.

[0070] Mapping methods for inconsistent data modeling devices:

[0071] Different power grid systems use different modeling methods and support different granularities of equipment. For example, primary equipment such as circuit breakers and disconnectors are not modeled in PSDB. Busbars are modeled in both PSDB and D5000, but there are 1:N, 1:1, and M:N mapping relationships, which require further analysis in conjunction with the power grid topology.

[0072] Mapping methods for mapping heterogeneous power grid topologies from the same source:

[0073] In graph theory, the topology mapping problem between two networks, also known as the subnet isomorphism problem, involves a one-to-one correspondence between nodes and edges, or one network being a subnet of another. For the primary equipment topology network formed by a power grid, where devices are nodes and their connections are edges, the algorithm theory is applicable. However, the PSDB system and the D5000 online model, due to their different descriptions of the power grid equipment, form different topologies, making it impossible to directly apply the subnet isomorphism algorithm for mapping. Figure 6 As shown, taking a primary wiring diagram of a certain plant as an example, due to the different states of disconnectors or circuit breakers, the simulation calculation model (with the busbar with zero electrical distance as a calculation node) shows three completely different networks.

[0074] Based on the electrical characteristics of primary equipment in the power grid and the inherent network structure of the power grid, the topology of primary equipment in the power grid is decomposed into three levels: substations and lines, main primary equipment in substations (including generators, transformers, and lines), and all primary equipment in substations. The levels are mutually inclusive and interconnected, and can be analyzed independently or jointly.

[0075] The power plant, substation, and power grid sub-networks are homogeneous;

[0076] The first-level network consists of substations and lines. Both the PSDB and D5000 systems describe substations, lines, and their interconnections, forming a substation-level topology network. Figure 7 The topology network consisting of the four power plants shown may have three different topologies in the power grid calculation model because the physical bus switchgear in power plant S1 is in different states.

[0077] However, considering only the topology of the substation and lines, and ignoring the status of the switchgear within the substation, it can be simplified to, for example... Figure 8 As shown, the topology is uniquely determined.

[0078] Subnet isomorphism algorithms based on graph theory (such as Ullmann algorithm, Nauty algorithm, SD algorithm, VF algorithm, etc.) can be applied, or the correspondence between the substation line equipment and lines of the D5000 and PSDB systems at a certain point in time can be directly compared to determine the differences in equipment between the two systems.

[0079] The electrical connection relationships of the equipment within the station were determined through a two-way network analysis.

[0080] The second-level network consists of generators, transformers, lines, and busbars in each substation. The PSDB and D5000 systems maintain a consistent modeling granularity for primary equipment such as generators, transformers, and lines (a 1:1 correspondence), differing only in their busbar descriptions. PSDB's substation topology description can be considered a simplification of the actual power grid's primary wiring diagram, simplifying switchgear (disconnectors, circuit breakers, etc.) into substation switch lines and drawing topology nodes from physical busbars. This is static; once created, it remains unchanged. In D5000 online data, topology nodes are calculated based on the status of disconnectors and circuit breakers, resulting in nodes with zero electrical connection points. This is dynamic, and the node description may differ at any given time. For example, a substation's primary wiring diagram might show a dual-busbar operation. Depending on the substation's operating status, many different primary equipment operation modes can be derived, such as... Figure 9 As shown, in D5000, the primary wiring diagram within the station is the simplest wiring method with zero electrical distance, abstracted from the commissioning status of the switchgear, and it changes dynamically. In the PSDB system, users can reasonably simplify the switchgear and physical busbars according to certain principles, such as... Figure 10 As shown in 11 and 12, among which Figure 10 The relationship between the converter tubes 11 and 1 is as follows: Figure 13 As shown.

[0081] According to the definition of a bipartite network in graph theory, all devices within the station can be abstracted into a set of topology nodes and a set of primary devices connected to the topology nodes. The problem of mapping topology nodes within the station can be transformed into a problem of intersection and union of sets.

[0082] By using the busbar splitting and station line settings in the PSDB library to convert between the three wiring methods and determine the mapping relationship between the topology nodes of the two systems, the electrical connection relationship between primary equipment can be determined, thereby realizing the mapping of the electrical connection relationship between lines, generators, transformers, and the electrical connection relationship between them.

[0083] Mapping of all primary equipment within the station;

[0084] The third-level network maps devices of different granularities, such as loads, capacitors, and reactors. For primary devices in the QS file, such as disconnectors and circuit breakers, the mapping has no direct impact on the simulation results. Since the PSDB system is not modeled, these devices can be mapped to topology nodes in the PSDB library (i.e., busbars or mode bus segments) through the mapping relationships of the second-level network topology nodes. This achieves the mapping of primary devices and their topology relationships between the two systems.

[0085] Importing homogeneous and heterogeneous networks based on the PSDB library;

[0086] Based on the PSDB primary equipment library, a D5000 online file can be updated to the PSDB mode library. This update includes information such as target line splitting and substation line information, primary equipment commissioning and decommissioning status, transformer tap information, load size, and generator output. Because a power grid operation mode is holistic, even a small change can lead to subtle or significant differences in power flow and stability results. The specific differences depend on factors such as the power grid topology and equipment parameters. Therefore, the import method must ensure the integrity of the imported equipment operation modes.

[0087] The external system is not a complete subnet system like PSDB; a new planning scheme compatibility mechanism needs to be created to ensure the integrity of the imported power grid and power flow constraints. The analysis process is as follows: Figure 14 As shown, the new planning scheme preserves the differences between the equipment models of the external power grid and the PSDB system at a certain point in time. For the external power grid, through the first-level power grid topology analysis, the equipment data of substations, lines, and primary equipment contained in substations can be divided into three categories: sub-sub ...

[0088] Complete the data;

[0089] For devices that are not in the PSDB device library at a certain point in time, create them in the PSDB device library according to the topology relationship of the external power grid data, set the scheme ID to which the device belongs, and put them into operation in the creation method.

[0090] Difference devices;

[0091] Data that is not available from the external power grid should be decommissioned in the new planning scheme.

[0092] Subset devices;

[0093] For subnet devices, the program background loops through each plant, and based on the binary network and set operations of graph theory, it maps the computing nodes through bus splitting and station line settings of the PSDB system, thereby realizing the mapping of primary equipment and their electrical relationships between the two networks.

[0094] According to such Figure 15 The topology shown is analyzed to determine the differences in electrical parameters for each mapped primary device. If differences exist, devices under the basic scheme must be decommissioned from this scheme library, and dedicated devices under this scheme must be created. The boundary lines of this subnet of the external power grid are equivalently evaluated for lower-level subnets to ensure network integrity and power flow convergence constraints.

[0095] This invention, based on the electrical characteristics of primary power grid equipment and the inherent network structure of the power grid, performs hierarchical abstraction of the power grid topology. Combining graph theory's bipartite network and set theory methods, it achieves topological mapping of power grid equipment connection relationships. Based on the power grid simulation data management platform's equipment library, mode library, and scheme library, it enables independent storage of planning schemes for different equipment and imports the mode operation information of mapped equipment, ensuring the integrity of the imported power grid topology and the convergence of power flow results. Furthermore, it maps discrete power grid section data to the PSDB time-series power grid data storage, ultimately achieving the fusion of multi-source data.

[0096] This invention also proposes a system 200 for mapping the topology of heterogeneous transmission networks of the same origin, such as... Figure 16 As shown, it includes:

[0097] Initialization module 201 acquires multi-dimensional power grid data, classifies the multi-dimensional power grid data according to the type and operation and maintenance characteristics of the power grid data, obtains the classification results, and establishes a classification database based on the classification results;

[0098] The mapping method determination module 202 determines the mapping method for homogeneous but heterogeneous power grid equipment based on the type of power grid equipment and the modeling method of the power grid equipment.

[0099] The mapping module 203 determines a unique power grid topology for the first-level network of the power grid network; determines the electrical data of the second-level network based on the power grid topology and maps the electrical data to a classification database; determines the primary equipment data of the third-level network based on the power grid topology and maps the equipment data to a classification database; and for the external network, generates supplementary files based on the power grid topology of the primary equipment connected to the external network and maps the supplementary files to the database.

[0100] The mapping module 203 is used to decompose the topology of the primary equipment of the power grid into a three-level network based on the electrical characteristics of the primary equipment and the inherent network structure of the power grid. The three-level network includes: substations and lines as the first-level network, generators, transformers and lines within the substations as the second-level network, and primary equipment within the power station as the third-level network.

[0101] The classification database includes: equipment database, method database, and solution database. The equipment database, method database, and solution database record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space.

[0102] The mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

[0103] The supplementary documents specify the topology and device parameters of the external network.

[0104] 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 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. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0105] 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 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0106] 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.

[0107] 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.

[0108] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0109] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for mapping the topology of heterogeneous transmission networks originating from the same source, the method comprising: Acquire multi-dimensional power grid data, classify the multi-dimensional power grid data according to the type of power grid data and operation and maintenance characteristics, obtain the classification results, and establish a classification database based on the classification results; Based on the type of power grid equipment and the modeling method of the power grid equipment, determine the mapping method for power grid equipment that is homogeneous but heterogeneous; For the first-level network of the power grid, a unique power grid topology is determined; Based on the power grid topology, determine the electrical data of the second-level network and map the electrical data to a classification database; Based on the power grid topology, determine the primary equipment data of the third-level network and map the equipment data to the classification database; For the external network, a supplementary file is generated based on the power grid topology of the primary equipment connected to the external network, and the supplementary file is mapped to the database; The mapping includes: Mapping of homogeneous and heterogeneous power grid equipment includes: Mapping method for data modeling consistent devices: For power plants, generators, transformers, and AC lines, a 1:1 mapping is achieved by recording the scheduling names of multi-source power grid data or the primary keys of equipment in different systems to correspond the equipment. Mapping methods for inconsistent data modeling devices: Different systems have different power grid modeling methods and different equipment support granularities. Circuit breakers and disconnectors are not modeled in PSDB, while busbars are modeled in both PSDB and D5000, but there are 1:N or 1:1, M:N mapping relationships. Mapping methods for mapping heterogeneous power grid topologies from the same source: Based on the electrical characteristics of primary equipment in the power grid and the inherent network structure of the power grid, the topology of primary equipment in the power grid is decomposed into three levels: substations and lines, main primary equipment in substations, and all primary equipment in substations. The levels are mutually inclusive and interconnected, and independent topology analysis or joint analysis is adopted. The classification database includes: equipment database, method database, and solution database. The equipment database, method database, and solution database record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space. The mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

2. The method according to claim 1, wherein the supplementary document determines the topology and device parameters of the external network.

3. A system for mapping the topology of heterogeneous transmission networks originating from the same source, the system comprising: The initialization module acquires multi-dimensional power grid data, classifies the multi-dimensional power grid data according to the type and operation and maintenance characteristics of the power grid data, obtains the classification results, and establishes a classification database based on the classification results. The mapping method determination module determines the mapping method for homogeneous but heterogeneous power grid equipment based on the type of power grid equipment and the modeling method of the power grid equipment. The mapping module determines a unique power grid topology for the first-level network of the power grid; determines the electrical data of the second-level network based on the power grid topology and maps the electrical data to a classification database; and determines the primary equipment data of the third-level network based on the power grid topology and maps the equipment data to a classification database. For the external network, a supplementary file is generated based on the power grid topology of the primary equipment connected to the external network, and the supplementary file is mapped to the database; The mapping includes: Mapping of homogeneous and heterogeneous power grid equipment includes: Mapping method for data modeling consistent devices: For power plants, generators, transformers, and AC lines, a 1:1 mapping is achieved by recording the scheduling names of multi-source power grid data or the primary keys of equipment in different systems to correspond the equipment. Mapping methods for inconsistent data modeling devices: Different systems have different power grid modeling methods and different equipment support granularities. Circuit breakers and disconnectors are not modeled in PSDB, while busbars are modeled in both PSDB and D5000, but there are 1:N or 1:1, M:N mapping relationships. Mapping methods for mapping heterogeneous power grid topologies from the same source: Based on the electrical characteristics of primary equipment in the power grid and the inherent network structure of the power grid, the topology of primary equipment in the power grid is decomposed into three levels: substations and lines, main primary equipment in substations, and all primary equipment in substations. The levels are mutually inclusive and interconnected, and independent topology analysis or joint analysis is adopted. The classification database includes: equipment database, method database, and solution database. The equipment database, method database, and solution database record the full trajectory of power grid equipment parameters in multiple dimensions of time, region, and space. The mapping methods include one-to-one, one-to-many, or many-to-many mapping methods.

4. The system according to claim 3, wherein the supplementary document determines the topology and device parameters of the external network.

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