Transformer substation full-stop simulation analysis method, system, equipment and medium

Abstract

The invention relates to the technical field of transformer substation management, in particular to a transformer substation full-stop simulation analysis method, system and device and a medium, and the method comprises the steps: accessing multi-source data of a power grid dispatching system, analyzing the physical connection relation of primary equipment, and generating a power grid topology model; based on the model, setting operation mode parameters through a human-computer interaction interface and generating an operation mode configuration file; loading a power grid operation state in the power grid topology model according to the configuration file, receiving a selection instruction for a target substation, carrying out topology traversal and electrical influence analysis, and outputting a full-stop influence analysis result containing an affected equipment list and load change; and calculating a power grid event level according to the result, automatically filling the information into a preset message template, and generating a structured full-stop analysis decision message. According to the invention, the automation and structuralization of the whole process from data integration, simulation deduction to report generation of the full-stop analysis of the transformer substation are realized, and the analysis efficiency and the decision accuracy are remarkably improved.

Description

Technical Field

[0001] This application relates to the field of substation management technology, specifically to a method, system, equipment, and medium for simulating and analyzing a complete substation shutdown. Background Technology

[0002] As the power grid continues to expand in scale and become increasingly complex in structure, substations, as key nodes in power transmission and distribution, are crucial to the reliability of the entire power grid due to their safe and stable operation. Conducting full substation outage simulation analysis can effectively assess outage risks, predict the impact of faults, and optimize recovery strategies, and has become an important supporting technology for power grid dispatching and emergency management.

[0003] Currently, analysis of substation outages typically relies on existing energy management systems or dispatch automation systems (such as the D5000 system). Analysts need to manually export relevant operating data, equipment parameters, and wiring information from these systems, as well as data acquisition and monitoring systems and equipment management systems. Through manual interpretation and experience-based analysis, they need to conduct grid topology analysis, operational mode assumptions, and preliminary assessments of the outage impact in an offline environment, ultimately generating an analysis report.

[0004] However, the aforementioned substation outage analysis method has significant limitations: the analysis process heavily relies on manual extraction and integration of data from multi-source heterogeneous systems, which is not only time-consuming and labor-intensive, but also makes it difficult to ensure consistency and accuracy between the constructed power grid model used for analysis and the topology and parameters of the real-time system; the setting and modification of operating modes lack direct and structured interaction with the visualized power grid model, making the construction of analysis scenarios inflexible and unintuitive; the analysis of the impact of power outages mainly relies on dispatchers' experience for logical deduction, lacking automated traversal and quantitative calculation based on standard topology models and systematic algorithms, and the comprehensiveness and objectivity of the analysis results need to be improved; the presentation of analysis conclusions and the determination of event levels are mostly written and judged manually, resulting in low report generation efficiency and insufficient standardization and structuring. Summary of the Invention

[0005] To address the technical problems of existing substation outage analysis methods that heavily rely on manual multi-source data integration, offline experience analysis, and report compilation, resulting in low efficiency, poor consistency, insufficient objectivity, and low standardization, this application provides a substation outage simulation analysis method, system, equipment, and medium. This method automates and structures the entire process from data access, model construction, mode setting, intelligent analysis to report generation, significantly improving the efficiency, accuracy, objectivity, and standardization of substation outage analysis.

[0006] Firstly, this application provides a method for simulating and analyzing a complete substation outage, comprising the following steps: S1. Access multi-source data from the power grid dispatching system, analyze the physical connection relationships of primary equipment within the substation, and generate a power grid topology model; S2. Based on the power grid topology model, the operating mode parameters are set through the human-machine interface and a structured operating mode configuration file is generated. The operating mode configuration file contains the equipment connection relationship and power supply configuration scheme. S3. Load the power grid operating status into the power grid topology model according to the operating mode configuration file; Receive user's selection instruction for target power outage substation, perform topology traversal and electrical impact analysis based on power grid topology model, and output the full outage impact analysis results including a list of affected equipment and load changes; S4. Based on the results of the full outage impact analysis, calculate the power grid event level and automatically fill the information from the full outage impact analysis results into the preset message template to generate a structured full outage analysis decision message.

[0007] It should be further noted that in step S1, the multi-source data of the power grid dispatching system includes: The remote signaling data provided by the SCADA system includes the unique identifier of primary equipment, circuit breaker status signals, and disconnector status signals; Equipment ledger data includes the unique identifier, standard name, nameplate parameters, and electrical attributes of primary equipment; GIS (Geographic Information System) data includes the geographic coordinates and spatial topology identifiers of primary equipment; Real-time database data from the D5000 system or EMS energy management system, including operating parameters and connection attributes of primary equipment.

[0008] It should be further explained that in step S1, the physical connection relationships of primary equipment within the substation are analyzed to generate a power grid topology model, including: Based on predefined equipment naming rules, the unique identifier of primary equipment in SCADA remote signaling data, the standard name of primary equipment in equipment ledger data, and the spatial topology identifier of primary equipment in GIS geographic information system data are aligned and matched to form a unified equipment identifier mapping relationship. Based on predefined voltage level mapping rules and electrical wiring logic rules, the voltage level of the equipment and the connection status of the busbar are determined according to the SCADA remote signaling status. The spanning tree algorithm is used to traverse the primary device nodes, infer the physical connection path between primary devices based on electrical connectivity, identify and eliminate isolated nodes and false connections by verifying the consistency of connection relationships, and output the initial topology. Connect to the real-time database of the D5000 system or EMS energy management system to obtain the operating parameters and connection attributes of primary equipment; By utilizing a unified device identifier mapping relationship, the acquired device operating parameters and connection attributes are accurately mapped to the corresponding primary device nodes in the initial topology; Based on the initial topology structure with complete equipment parameters and connection attributes attached, a power grid topology model is constructed using the CIM public information model as the standard. SVG scalable vector graphics technology is integrated into the power grid topology model to realize dynamic rendering of the topology map and human-computer interaction functions.

[0009] It should be further noted that step S1, generating the power grid topology model, also includes using machine learning methods to learn and optimize the features of the initial topology, specifically including: Principal component analysis (PCA) is used to reduce the dimensionality of high-dimensional power grid operation data, resulting in dimensionality-reduced power grid operation data. The dimensionality-reduced power grid operation data is input into the SOM self-organizing map network for feature extraction and mapping to generate a two-dimensional feature map; The mapping relationship between two-dimensional feature maps and the initial topology is learned by using a CNN convolutional neural network, and a unified topology model that conforms to the CIM public information model standard is output.

[0010] It should be further noted that in step S2, setting the operating parameters through the human-computer interaction interface includes: A graphical human-computer interaction interface was built based on the power grid topology model. In the human-computer interaction interface, the connection relationships between the main transformer, lines and busbars in the power grid topology model are set; In the human-computer interaction interface, specify the main power supply and backup power supply of the substation in the power grid topology model. In the human-computer interaction interface, the user-dedicated line attributes of the lines within the power grid topology model are identified, and the corresponding user information is associated with them.

[0011] It should be further explained that, in the human-computer interaction interface, the connection relationships between the main transformer, lines, and buses within the power grid topology model are set, specifically including: In the human-computer interaction interface, in response to user operations such as dragging and dropping graphic elements representing main transformers or lines onto graphic elements representing busbars, connection relationships are established or modified, and the electrical connection attributes of the corresponding devices in the power grid topology model are updated.

[0012] It should be further explained that specifying the primary and backup power sources for substations within the power grid topology model includes: In the human-computer interaction interface, mark the role attribute of the power supply point as primary or backup; Configure the switching logic between the main power supply and the backup power supply; Connect to real-time power output data to verify the power supply feasibility of specified power configurations.

[0013] It should be further noted that the user leased line attribute, which identifies lines within the power grid topology model, includes: In the human-computer interaction interface, a leased line identifier is added to the line identified as a user leased line, and user information and load characteristic parameters associated with the user leased line are entered.

[0014] It should be further noted that in step S2, generating a structured runtime configuration file includes: Based on a predefined rule engine, all set operation parameters are validated; The validated runtime parameters are integrated to generate a structured runtime configuration file.

[0015] It should be further noted that the validations performed by the rule engine include: Verify the logical consistency between the set connection relationships, power configurations, and dedicated line attributes and the power grid topology model; Verify the compliance of equipment parameters with rated parameters; Verify whether the operating mode complies with the safe operating rules.

[0016] It should be further noted that verifying the compliance of equipment parameters with rated parameters includes: Verify whether the electrical distance between the main transformer and the busbars connected to the lines is within the safe threshold range; Verify whether the capacity of the main power supply and backup power supply meets the total demand of the associated loads; Verify whether the electrical parameters of the user's dedicated line match the parameters of the user-side equipment.

[0017] It should be further noted that the structured runtime configuration file uses XML or JSON format and contains the following structured data segments: The power grid topology connection data segment records the connection relationships between the main transformer and the lines and busbars; The power configuration scheme data segment records the configuration parameters and switching logic of the main power supply and backup power supply; The dedicated line attribute record data segment records the electrical parameters of the user's dedicated line and user information; The parameter validation result data segment records the validation results of the rule engine.

[0018] It should be further noted that in step S3, the power grid operating status is loaded into the power grid topology model according to the operating mode configuration file, specifically including: Parse the operating mode configuration file to obtain the device connection relationships and power configuration scheme contained therein; Based on the obtained device connection relationships and power configuration schemes, the corresponding power grid operation mode is reconstructed in the power grid topology model.

[0019] It should be further noted that step S3, which involves topology traversal based on the power grid topology model, includes: It provides a visual selection interface and receives user instructions to select the target power outage substation. Starting from the target power outage substation, a breadth-first search algorithm is used to perform a topology traversal along the electrical connection paths in the power grid topology model. Based on the electrical connectivity determination logic, we analyze the related substations and lines affected by the complete shutdown of the target substation.

[0020] It should be further noted that the topology traversal path expands layer by layer according to the electrical topology hierarchy: Starting from the target power outage substation, the process sequentially traverses the busbar, main transformer, lines, and associated next-level substations or dedicated lines for users.

[0021] It should be further noted that the conditions under which a device is affected in the electrical connectivity determination logic include: The electrical connection between the device and the main or backup power supply is interrupted, and there is no other effective power supply path to replace it. When transferring loads to backup power, the load transfer capacity reaches or exceeds the line transmission capacity constraint.

[0022] It should be further noted that in step S3, the electrical impact analysis includes load change calculation, specifically including: Extract the rated load and real-time load data of the target power outage substation and its associated substations and lines; Based on the extracted load data, calculate the fixed loads that cannot be transferred after a complete shutdown and the transferable loads that can be transferred to the backup power supply via tie lines; Based on the line transmission capacity constraints, the net loss load and the distribution of transferred load are calculated.

[0023] It should be further noted that the results of the total shutdown impact analysis in step S3 include: List of affected equipment, including information on affected substations, lines, and busbars. Load change information, including load loss and load transfer path information.

[0024] The equipment in the list of affected devices is divided into three categories according to the degree of impact: The entire station lost power; The entire station is switched to another power source as a backup. Only the backup power supply was lost.

[0025] It should be further noted that in step S4, the calculation of the power grid event level based on the results of the total outage impact analysis includes: Based on the results of the full shutdown impact analysis, we obtain the percentage of load loss, the number of affected substations, and the number of affected key users. The corresponding load loss percentage weights are determined based on the threshold ranges of the load loss percentage, the number of affected substations, and the number of affected key users. Weight of the number of substations Influence weight of important users ; Calculate event level score The formula is:

[0026] in, , , These are preset fixed coefficients, and =1; Based on the predefined score range and event level mapping rules and event level scores The score range in which the event occurs determines the level of the power grid event.

[0027] It should be further explained that, , , The value can be: =0.4; =0.3; =0.3.

[0028] It should be further explained that the weighting of load loss proportion The rules for determining the value include: If the proportion of load loss is less than the first load threshold, then the first weight value is taken; If the proportion of load loss is greater than or equal to the first load threshold and less than the second load threshold, then the second weight value is taken; If the proportion of load loss is greater than or equal to the second load threshold and less than the third load threshold, then the third weight value is taken; If the proportion of load loss is greater than or equal to the third load threshold, then the fourth weight value is taken; Among them, the first load threshold, the second load threshold, and the third load threshold increase sequentially, and the first weight value, the second weight value, the third weight value, and the fourth weight value increase sequentially. Substation quantity weight The rules for determining the value include: If the number of affected substations is less than the first threshold, then the fifth weight value is used; If the number of affected substations is greater than or equal to the first threshold and less than the second threshold, then the sixth weight value is taken. If the number of affected substations is greater than or equal to the second quantity threshold, then the seventh weight value is taken; Among them, the first quantity threshold is less than the second quantity threshold, and the fifth, sixth, and seventh weight values ​​increase sequentially. Influence weight of important users The rules for determining the value include: If the number of important users affected is less than the first user threshold, then the eighth weight value is used; If the number of important users affected is greater than or equal to the first user threshold and less than the second user threshold, then the ninth weight value is taken. If the number of important users affected is greater than or equal to the second user threshold, then the tenth weight value is taken; Among them, the first user number threshold is less than the second user number threshold, and the eighth, ninth, and tenth weight values ​​increase sequentially. The specific rules for mapping score ranges to event levels are as follows: when At that time, it was determined to be a Level IV event; when At that time, it was determined to be a Level III event; when At that time, it was determined to be a Level II event; when At that time, it was determined to be a Level I event; in, This represents the preset first score threshold. This represents the preset second score threshold. This indicates the preset third score threshold, which satisfies... .

[0029] It should be further explained that, The first load threshold is 5%; The second load threshold is 10%; The third load threshold is 15%; The first quantity threshold is 3. The second quantity threshold is 6 seats; The first user threshold is 1 user. The second user threshold is 3 households.

[0030] It should be further noted that in step S4, automatically filling the information from the full shutdown impact analysis results into the preset message template includes: Establish a mapping relationship between the data fields in the full shutdown impact analysis results and the placeholders in the message template; The document object model parser automatically extracts structured data from the full stop impact analysis results; The extracted data is filled into the corresponding positions in the message template according to the mapping relationship.

[0031] It should be further noted that the data fields include: Name of the affected substation, user leased line number, and percentage of load fluctuation; Load loss, transfer path, and backup power supply status; Event duration and event level label.

[0032] It should be further noted that the message template has a dedicated template for the following three situations: Power outage status of the entire station; The entire station is switched to another power source as a backup; Only the backup power supply is lost.

[0033] It should be further noted that the autofill process also includes: Convert load changes into chart format and embed them into the message; The filled message content undergoes syntax validation and format standardization.

[0034] It should be further noted that the structure of the decision message in step S4 includes: The basic information section of the event records the event's time, location, and severity level. The impact scope analysis section records the list of affected equipment and the classification of the degree of impact. The load data analysis section records detailed data on load loss and transfer; The response suggestion section provides targeted emergency response plans.

[0035] It should be further noted that the methods for generating the content of the disposal suggestion section include: Based on the event level and scope of impact, best practice solutions are matched from the pre-set response solution library; The plan is adaptively adjusted based on real-time operational data; Generate specific operational steps and timeframes for execution suggestions, which will be included in the handling suggestion section.

[0036] Secondly, this application provides a substation full shutdown simulation analysis system for implementing the above-mentioned substation full shutdown simulation analysis method, including: The power grid topology model generation module is used to access multi-source data from the power grid dispatching system, parse the physical connection relationships of primary equipment in substations, and generate a power grid topology model. The configuration file generation module is used to set operating mode parameters and generate a structured operating mode configuration file based on the power grid topology model and through the human-machine interface. The operating mode configuration file contains equipment connection relationships and power configuration schemes. The analysis results generation module is used to load the power grid operating status into the power grid topology model according to the operating mode configuration file; receive the user's selection instruction for the target power outage substation, perform topology traversal and electrical impact analysis based on the power grid topology model, and output the full outage impact analysis results including the list of affected equipment and load changes; The decision message generation module is used to calculate the power grid event level based on the results of the full outage impact analysis, and automatically fill the information in the full outage impact analysis results into a preset message template to generate a structured full outage analysis decision message.

[0037] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described substation full shutdown simulation analysis method.

[0038] Fourthly, this application provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described substation full shutdown simulation analysis method.

[0039] As can be seen from the above technical solutions, this application has the following advantages: 1. This application integrates data access, model building, method setting, intelligent analysis and report generation through automated processes, realizing the full-chain digitalization and intelligence from data to decision-making, and significantly improving the efficiency, accuracy and standardization of substation outage analysis.

[0040] 2. The steps in this application automatically access and parse multi-source data to generate a standardized power grid topology model, ensuring the uniformity, accuracy, and real-time availability of the basic data for analysis, and effectively reducing errors and delays caused by manual intervention.

[0041] 3. This application provides a graphical interactive interface based on a unified power grid topology model for parameter setting and generating structured configuration files, making the construction, modification and verification of operation modes intuitive, convenient and traceable, greatly enhancing the ability and flexibility of constructing analysis scenarios.

[0042] 4. This application enables automated topology traversal and electrical impact analysis based on standard models and configuration files, which can quickly, comprehensively, and quantitatively output the affected range and load changes, thereby improving the objectivity of the analysis process and the accuracy of the results.

[0043] 5. This application generates structured messages by calculating event levels and filling the analysis results into a standard template, achieving rapid and standardized output of analysis conclusions, providing dispatchers with immediate and standardized decision support, and improving emergency response efficiency. Attached Figure Description

[0044] To more clearly illustrate the technical solution of this application, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart of a substation complete shutdown simulation analysis method in one embodiment of this application.

[0046] Figure 2 This is a schematic block diagram of a substation complete shutdown simulation analysis system in one embodiment of this application.

[0047] Figure 3 This is a schematic diagram of the hardware structure of an electronic device in one embodiment of this application. Detailed Implementation

[0048] To make the purpose, features, and advantages of this application more apparent and understandable, specific embodiments and accompanying drawings will be used to clearly and completely describe the technical solution protected by this application. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0049] The substation total shutdown simulation analysis method involved in this application will be described in detail below. Specific details such as particular system structures and technologies are presented for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application can also be implemented in other embodiments without these specific details.

[0050] In the substation total shutdown simulation analysis method involved in this application, the term "comprising" indicates the presence of the described feature, whole, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or sets thereof. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0051] To facilitate a clear description of the technical solutions of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0052] The terms "one embodiment" or "some embodiments" used in this application mean that one or more embodiments of this application include the specific features, structures, or characteristics described in that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this application do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized.

[0053] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0054] The substation full shutdown simulation analysis method provided in this application embodiment is executed by computer equipment, and correspondingly, the substation full shutdown simulation analysis system runs on the computer equipment.

[0055] Figure 1 This is a flowchart of a substation total shutdown simulation analysis method according to an embodiment of this application. Wherein, Figure 1 The implementing entity can be a substation complete shutdown simulation analysis system. Depending on different requirements, the order of steps in this flowchart can be changed, and some steps can be omitted.

[0056] like Figure 1 As shown, the substation complete shutdown simulation analysis method includes: Step S1: Access multi-source data from the power grid dispatching system, analyze the physical connection relationships of primary equipment within the substation, and generate a power grid topology model.

[0057] By accessing multi-source data from the power grid dispatching system and analyzing the physical connection relationships of primary equipment within substations to generate a power grid topology model, a digital foundation model that accurately reflects the actual physical connections and equipment attributes of the power grid is constructed. This provides a unified, reliable, and comprehensive analytical foundation containing rich equipment parameters and spatial information for operation mode simulation, topology analysis, and electrical calculations. It ensures the accuracy and comprehensiveness of the analysis of the impact of a complete shutdown and avoids analytical errors caused by dispersed data sources or inconsistent models.

[0058] In some specific embodiments, the multi-source data of the power grid dispatching system includes: The remote signaling data provided by the SCADA system includes the unique identifier of primary equipment, circuit breaker status signals, and disconnector status signals; Equipment ledger data includes the unique identifier, standard name, nameplate parameters, and electrical attributes of primary equipment; GIS (Geographic Information System) data includes the geographic coordinates and spatial topology identifiers of primary equipment; Real-time database data from the D5000 system or EMS energy management system, including operating parameters and connection attributes of primary equipment.

[0059] By specifically defining multi-source data as including remote signaling data from SCADA systems, equipment ledger data, GIS geographic information system data, and real-time database data from D5000 or EMS systems, the integrity, real-time performance, and multidimensionality of the data required for power grid topology model construction are ensured. Remote signaling data provides real-time equipment status, ledger data provides static parameters, GIS data provides spatial topological relationships, and real-time database data provides operating parameters and connection attributes. The fusion of multi-source data lays a solid data foundation for generating a high-fidelity power grid topology model.

[0060] In some specific embodiments, the physical connection relationships of primary equipment within the substation are analyzed to generate a power grid topology model, including: Based on predefined equipment naming rules, the unique identifier of primary equipment in SCADA remote signaling data, the standard name of primary equipment in equipment ledger data, and the spatial topology identifier of primary equipment in GIS geographic information system data are aligned and matched to form a unified equipment identifier mapping relationship. Based on predefined voltage level mapping rules and electrical wiring logic rules, the voltage level of the equipment and the connection status of the busbar are determined according to the SCADA remote signaling status. The spanning tree algorithm is used to traverse the primary device nodes, infer the physical connection path between primary devices based on electrical connectivity, identify and eliminate isolated nodes and false connections by verifying the consistency of connection relationships, and output the initial topology. Connect to the real-time database of the D5000 system or EMS energy management system to obtain the operating parameters and connection attributes of primary equipment; By utilizing a unified device identifier mapping relationship, the acquired device operating parameters and connection attributes are accurately mapped to the corresponding primary device nodes in the initial topology; Based on the initial topology structure with complete equipment parameters and connection attributes attached, a power grid topology model is constructed using the CIM public information model as the standard. SVG scalable vector graphics technology is integrated into the power grid topology model to realize dynamic rendering of the topology map and human-computer interaction functions.

[0061] By meticulously defining and matching multi-source data to form a unified device identifier mapping, determining voltage levels and connectivity based on rules, using a spanning tree algorithm to traverse and verify the initial topology structure, and then connecting to a real-time database to map device parameters, a power grid topology model integrating SVG interactive functions is finally constructed using the CIM standard. This proposes a systematic, automated, and standardized method for constructing power grid topology models. Through multiple steps such as data alignment, logical judgment, algorithm traversal, and parameter mapping, the accuracy, consistency, and integrity of the topology model are effectively guaranteed. At the same time, the application of the CIM standard and SVG technology improves the model's interoperability, scalability, and visualization interaction capabilities.

[0062] In some specific embodiments, generating the power grid topology model further includes using machine learning methods to learn and optimize the features of the initial topology, specifically including: Principal component analysis (PCA) is used to reduce the dimensionality of high-dimensional power grid operation data, resulting in dimensionality-reduced power grid operation data. The dimensionality-reduced power grid operation data is input into the SOM self-organizing map network for feature extraction and mapping to generate a two-dimensional feature map; The mapping relationship between two-dimensional feature maps and the initial topology is learned by using a CNN convolutional neural network, and a unified topology model that conforms to the CIM public information model standard is output.

[0063] By employing PCA to reduce the dimensionality of power grid operation data, then using SOM network for feature extraction and generating a two-dimensional feature map, and finally using CNN to learn the mapping relationship between the feature map and the initial topology to output a unified topology model, machine learning technology is introduced to learn and optimize the features of the initial topology. This approach can automatically mine deep features and correlation patterns from massive high-dimensional operation data, helping to discover and correct implicit connections or parameter anomalies that may be missed by traditional methods, thereby further improving the intelligence, accuracy, and robustness of the generated power grid topology model.

[0064] Step S2: Based on the power grid topology model, set the operating mode parameters through the human-machine interface and generate a structured operating mode configuration file. The operating mode configuration file contains the equipment connection relationship and power supply configuration scheme.

[0065] By using a human-computer interface to set operating parameters based on a power grid topology model and generate structured operating configuration files, a flexible and intuitive means of configuring power grid operating modes is provided. This allows operators to easily simulate different power grid wiring methods and power supply configuration schemes, and solidify these complex operating parameters in the form of structured files. This achieves repeatability, verifiability, and manageability of operating modes, and provides clear and standardized input conditions for subsequent precise full shutdown simulation analysis under specific operating conditions.

[0066] In some specific embodiments, setting the operating mode parameters through the human-computer interaction interface includes: A graphical human-computer interaction interface was built based on the power grid topology model. In the human-computer interaction interface, the connection relationships between the main transformer, lines and busbars in the power grid topology model are set; In the human-computer interaction interface, specify the main power supply and backup power supply of the substation in the power grid topology model. In the human-computer interaction interface, the user-dedicated line attributes of the lines within the power grid topology model are identified, and the corresponding user information is associated with them.

[0067] By specifying the connection relationships between main transformers, lines, and busbars in a graphical human-machine interface built on a power grid topology model, specifying the main and backup power supplies for substations, and identifying user dedicated line attributes and associating user information, an intuitive, efficient, and comprehensive environment for configuring operation mode parameters is provided. This allows operators to directly visualize and set the connections, power supplies, and user attributes of the power grid model through graphical operations, significantly reducing the technical threshold and operational complexity of configuring complex operation modes, and improving the efficiency and accuracy of configuration work.

[0068] In some specific embodiments, the connection relationships between the main transformer, lines, and buses within the power grid topology model are defined in the human-computer interaction interface, specifically including: In the human-computer interaction interface, in response to user operations such as dragging and dropping graphic elements representing main transformers or lines onto graphic elements representing busbars, connection relationships are established or modified, and the electrical connection attributes of the corresponding devices in the power grid topology model are updated.

[0069] By specifically defining the operation of dragging and dropping graphical elements to establish or modify the connection relationship between the main transformer, lines and busbars, and synchronously updating the corresponding electrical connection attributes in the power grid topology model, the visualization and interactive editing of the power grid topology connection relationship are realized. This makes the adjustment of the operation mode as simple and intuitive as building blocks, greatly enhancing the user-friendliness and operational efficiency of human-computer interaction, while ensuring the real-time synchronization and consistency between the graphical interface operation and the changes in the underlying data model.

[0070] In some specific embodiments, primary and backup power sources are designated for substations within the power grid topology model, including: In the human-computer interaction interface, mark the role attribute of the power supply point as primary or backup; Configure the switching logic between the main power supply and the backup power supply; Connect to real-time power output data to verify the power supply feasibility of specified power configurations.

[0071] By specifying the marking of power point role attributes in the human-machine interface, configuring the main and backup power switching logic, and verifying the power supply feasibility of the power configuration through real-time data, this provides refined management and real-time verification capabilities for substation power configuration. It not only clarifies the role and switching rules of the power supply, but also ensures the current feasibility of the configured power scheme through real-time data verification, thereby enhancing the rationality and reliability of the operation mode setting and reducing the risk of simulation analysis distortion due to improper power configuration.

[0072] In some specific embodiments, the user leased line attribute of the lines within the power grid topology model is identified, including: In the human-computer interaction interface, a leased line identifier is added to the line identified as a user leased line, and user information and load characteristic parameters associated with the user leased line are entered.

[0073] By assigning dedicated line identifiers to lines identified as user-dedicated lines and entering associated user information and load characteristic parameters, refined identification and management of user-dedicated lines and their load characteristics in the power grid are achieved. This links user information with specific lines in the power grid topology model, providing crucial data support for accurately assessing the impact on important users and calculating user-side load changes in subsequent full-outage analyses.

[0074] In some specific embodiments, generating a structured runtime configuration file includes: Based on a predefined rule engine, all set operation parameters are validated; The validated runtime parameters are integrated to generate a structured runtime configuration file.

[0075] By using a predefined rules engine to validate all set operation parameters and integrating the validated parameters to generate a structured operation configuration file, an automated validation process is introduced before generating the configuration file. This effectively identifies and intercepts logical errors, compliance issues, or security risks in the parameter settings, ensuring the correctness, security, and reliability of the final generated operation configuration file and providing high-quality input for subsequent analysis.

[0076] In some specific embodiments, the checks performed by the rule engine include: Verify the logical consistency between the set connection relationships, power configurations, and dedicated line attributes and the power grid topology model; Verify the compliance of equipment parameters with rated parameters; Verify whether the operating mode complies with the safe operating rules.

[0077] By specifically limiting the verifications performed by the rule engine to include verifying the logical consistency between connection relationships, power configurations, and dedicated line attributes and the power grid topology model, verifying the compliance of equipment parameters and rated parameters, and verifying whether the operating mode complies with safe operating rules, a multi-level, comprehensive operating mode parameter verification system has been established. This system covers key aspects from topology logic and equipment parameters to safety rules, systematically ensuring the technical rationality and safety reliability of the set operating modes.

[0078] In some specific embodiments, verifying the compliance of device parameters with rated parameters includes: Verify whether the electrical distance between the main transformer and the busbars connected to the lines is within the safe threshold range; Verify whether the capacity of the main power supply and backup power supply meets the total demand of the associated loads; Verify whether the electrical parameters of the user's dedicated line match the parameters of the user-side equipment.

[0079] By further refining the compliance verification of equipment parameters with rated parameters to verify electrical distance safety thresholds, power supply capacity meeting load requirements, and user dedicated line parameter matching, specific and quantifiable equipment parameter compliance check items are proposed. These checks are directly related to core issues such as the safety margin of power grid operation, power supply reliability, and equipment compatibility, making parameter verification more targeted and practically instructive, and effectively preventing simulation distortion or safety hazards that may be caused by improper parameter settings.

[0080] In some specific embodiments, the structured runtime configuration file is in XML or JSON format and contains the following structured data segments: The power grid topology connection data segment records the connection relationships between the main transformer and the lines and busbars; The power configuration scheme data segment records the configuration parameters and switching logic of the main power supply and backup power supply; The dedicated line attribute record data segment records the electrical parameters of the user's dedicated line and user information; The parameter validation result data segment records the validation results of the rule engine.

[0081] By specifying that the structured operation mode configuration file adopts XML or JSON format and includes structured data segments such as power grid topology connection relationship, power supply configuration scheme, dedicated line attribute record and parameter verification results, a standardized, machine-readable and complete configuration file format is defined, which facilitates data storage, transmission, parsing and sharing. The data segment structure of each clearly defined partition is clear, which is conducive to improving the processing efficiency of configuration files and the data exchange capability between different systems.

[0082] Step S3: Load the power grid operating status into the power grid topology model according to the operating mode configuration file; The system receives the user's selection instruction for the target power outage substation, performs topology traversal and electrical impact analysis based on the power grid topology model, and outputs the full outage impact analysis results, including a list of affected equipment and load changes.

[0083] By loading the power grid operating status into the power grid topology model according to the operating mode configuration file, and receiving user selection instructions to perform topology traversal and electrical impact analysis to output the full outage impact analysis results, the system realizes automatic, rapid and quantitative analysis of the impact of a full outage event on a target substation under a specific operating mode. It can systematically identify the range of affected equipment and calculate the load changes, automating the complex power grid connectivity analysis and electrical calculation process, providing operators with clear and quantitative decision-making basis, and significantly shortening the manual analysis time.

[0084] In some specific embodiments, the power grid operating status is loaded into the power grid topology model according to the operating mode configuration file, specifically including: Parse the operating mode configuration file to obtain the device connection relationships and power configuration scheme contained therein; Based on the obtained device connection relationships and power configuration schemes, the corresponding power grid operation mode is reconstructed in the power grid topology model.

[0085] By specifically defining the acquisition of device connection relationships and power configuration schemes through parsing the operating mode configuration file, and reconstructing the corresponding power grid operating mode in the power grid topology model, the structured configuration information is accurately and efficiently loaded into the power grid topology model. This enables the rapid construction of a power grid analysis scenario corresponding to a specific operating mode, containing detailed connection status and power supply arrangements, ensuring that subsequent full shutdown simulation analysis is based on the accurate operating status preset by the user.

[0086] In some specific embodiments, topology traversal based on the power grid topology model includes: It provides a visual selection interface and receives user instructions to select the target power outage substation. Starting from the target power outage substation, a breadth-first search algorithm is used to perform a topology traversal along the electrical connection paths in the power grid topology model. Based on the electrical connectivity determination logic, we analyze the related substations and lines affected by the complete shutdown of the target substation.

[0087] By providing a visual selection interface to receive user selections of target substations, and using a breadth-first search algorithm to traverse the electrical connection path starting from that substation, and analyzing the affected range based on electrical connectivity determination logic, a systematic and automated method for searching and determining the impact range of power grid faults is provided. Combining visual interaction and efficient algorithms, it can quickly and accurately locate related substations and lines whose electrical connectivity is affected by the complete outage of the target substation, laying the foundation for quantitative analysis.

[0088] In some specific embodiments, the topology traversal path expands layer by layer according to the electrical topology hierarchy: Starting from the target power outage substation, the process sequentially traverses the busbar, main transformer, lines, and associated next-level substations or dedicated lines for users.

[0089] By limiting the path of topology traversal and starting from the target substation according to the electrical topology hierarchy, the system sequentially traverses the busbar, main transformer, line, and associated next-level substations or user dedicated lines, spreading layer by layer. This follows the actual electrical energy transmission and distribution hierarchy of the power grid to search for the scope of influence, making the traversal process more in line with physical laws. It can systematically and comprehensively identify the affected equipment at each level, ensuring the comprehensiveness and clarity of the scope of influence analysis.

[0090] In some specific embodiments, the conditions under which a device is affected in the electrical connectivity determination logic include: The electrical connection between the device and the main or backup power supply is interrupted, and there is no other effective power supply path to replace it. When transferring loads to backup power, the load transfer capacity reaches or exceeds the line transmission capacity constraint.

[0091] By specifying the conditions under which equipment is affected, including the interruption of the electrical connection path with the power source and the absence of other effective alternatives, and the load transfer exceeding the line transmission capacity constraint, the specific technical criteria for determining electrical connectivity are clarified. The abstract concept of "affected" is transformed into specific logical conditions that can be calculated and judged. In particular, the actual constraints of load transfer are taken into account, making the determination of affected equipment more accurate and in line with the actual operation of the power grid.

[0092] In some specific embodiments, electrical impact analysis includes load change calculations, specifically including: Extract the rated load and real-time load data of the target power outage substation and its associated substations and lines; Based on the extracted load data, calculate the fixed loads that cannot be transferred after a complete shutdown and the transferable loads that can be transferred to the backup power supply via tie lines; Based on the line transmission capacity constraints, the net loss load and the distribution of transferred load are calculated.

[0093] By specifying that load change calculations in electrical impact analysis require the extraction of rated and real-time load data from relevant equipment, and the calculation of fixed loads and transferable loads, combined with line capacity constraints to account for net loss loads and the distribution of transferred loads, a refined quantitative calculation of grid load changes caused by substation outages has been achieved. This not only distinguishes the nature of the loads but also considers the limitations of the grid's transfer capacity, thus obtaining load loss and transfer data that are closer to the actual situation. This provides a key quantitative basis for assessing the power supply gap and economic impact caused by the event.

[0094] In some specific embodiments, the results of the full shutdown impact analysis include: List of affected equipment, including information on affected substations, lines, and busbars. Load change information, including load loss and load transfer path information.

[0095] The equipment in the list of affected devices is divided into three categories according to the degree of impact: The entire station lost power; The entire station is switched to another power source as a backup. Only the backup power supply was lost.

[0096] By stipulating that the impact analysis results of a complete power outage must include a list of affected equipment and load change information, and further subdividing the equipment in the affected equipment list into three categories according to the degree of impact: total power outage, total power supply switched to another power source, and loss of only backup power source, a hierarchical and categorized analysis result output format is provided. This not only lists the affected equipment but also clarifies the specific nature and extent of the impact on each piece of equipment, making the analysis results more intuitive and detailed. This allows operators to quickly grasp the different levels and priorities of the event's impact and formulate differentiated response measures.

[0097] Step S4: Based on the results of the full outage impact analysis, calculate the power grid event level and automatically fill the information from the full outage impact analysis results into a preset message template to generate a structured full outage analysis decision message.

[0098] By calculating the power grid event level based on the results of the full shutdown impact analysis and automatically filling the analysis results into a pre-set message template to generate a structured full shutdown analysis decision message, intelligent integration and standardized output of the analysis results are achieved. This not only objectively assesses the severity of the event through quantitative indicators, but also automatically generates a standardized and complete analysis report, which greatly reduces the workload and subjective bias of manual report writing and ensures the timeliness, accuracy and standardization of event reporting and information transmission.

[0099] In some specific embodiments, the calculation of the power grid event level based on the results of the total outage impact analysis includes: Based on the results of the full shutdown impact analysis, we obtain the percentage of load loss, the number of affected substations, and the number of affected key users. The corresponding load loss percentage weights are determined based on the threshold ranges of the load loss percentage, the number of affected substations, and the number of affected key users. Weight of the number of substations Influence weight of important users ; Calculate event level score The formula is:

[0100] in, , , These are preset fixed coefficients, and =1; Based on the predefined score range and event level mapping rules and event level scores The score range in which the event occurs determines the level of the power grid event.

[0101] By defining three indicators—the proportion of load loss, the number of affected substations, and the number of affected key users—and determining their respective weights based on their respective threshold ranges, an objective, quantitative, and multi-factor comprehensive event level assessment model is established. This model calculates event level scores using a preset formula and then determines the final power grid event level based on the score range mapping. This model integrates key impact indicators from multiple dimensions into a comprehensive score through weighted calculation, thereby achieving standardized and scientific classification of the severity of substation outage events and providing a unified and fair decision-making basis for determining emergency response levels. In some specific embodiments, , , The value can be: =0.4; =0.3; =0.3.

[0102] By setting fixed coefficients of 0.4, 0.3, and 0.3 for the load loss percentage, the number of affected substations, and the number of affected key users in the event level score calculation formula, respectively, the relative importance of each assessment factor in the comprehensive rating is clarified. The load loss percentage is given the highest weight, while taking into account the scope of the power grid structure affected (number of substations) and the guarantee factors for key users. This makes the focus of the event level assessment clear and reasonable, and conforms to the general principle that ensuring power supply is the primary task in the safe operation of the power grid.

[0103] In some specific embodiments, the load loss proportion weight The rules for determining the value include: If the proportion of load loss is less than the first load threshold, then the first weight value is taken; If the proportion of load loss is greater than or equal to the first load threshold and less than the second load threshold, then the second weight value is taken; If the proportion of load loss is greater than or equal to the second load threshold and less than the third load threshold, then the third weight value is taken; If the proportion of load loss is greater than or equal to the third load threshold, then the fourth weight value is taken; Among them, the first load threshold, the second load threshold, and the third load threshold increase sequentially, and the first weight value, the second weight value, the third weight value, and the fourth weight value increase sequentially. Substation quantity weight The rules for determining the value include: If the number of affected substations is less than the first threshold, then the fifth weight value is used; If the number of affected substations is greater than or equal to the first threshold and less than the second threshold, then the sixth weight value is taken. If the number of affected substations is greater than or equal to the second quantity threshold, then the seventh weight value is taken; Among them, the first quantity threshold is less than the second quantity threshold, and the fifth, sixth, and seventh weight values ​​increase sequentially. Influence weight of important users The rules for determining the value include: If the number of important users affected is less than the first user threshold, then the eighth weight value is used; If the number of important users affected is greater than or equal to the first user threshold and less than the second user threshold, then the ninth weight value is taken. If the number of important users affected is greater than or equal to the second user threshold, then the tenth weight value is taken; Among them, the first user number threshold is less than the second user number threshold, and the eighth, ninth, and tenth weight values ​​increase sequentially. In some specific embodiments, the mapping rule between score ranges and event levels is as follows: when At that time, it was determined to be a Level IV event; when At that time, it was determined to be a Level III event; when At that time, it was determined to be a Level II event; when At that time, it was determined to be a Level I event; in, This represents the preset first score threshold. This represents the preset second score threshold. This indicates the preset third score threshold, which satisfies... .

[0104] By specifying in detail the segmented value rules for the weight of load loss proportion, the weight of the number of substations, and the weight of the impact of important users based on different threshold ranges, as well as the mapping rules for the event level score and the score range of the four levels of events, specific and operable parameter values ​​and level classification standards are provided for the evaluation model in claim 19. This makes the entire event level calculation process completely regular and automated, avoids subjective arbitrariness, and ensures the consistency and comparability of evaluation results for different events and different personnel.

[0105] In some specific embodiments, the first load threshold is 5%; The second load threshold is 10%; The third load threshold is 15%; The first quantity threshold is 3. The second quantity threshold is 6 seats; The first user threshold is 1 user. The second user threshold is 3 households.

[0106] By specifically quantifying key thresholds, including three thresholds for the proportion of load loss (5%, 10%, 15%), two thresholds for the number of affected substations (3, 6), and two thresholds for the number of affected important users (1, 3), clear quantitative threshold values ​​based on industry experience or standards are provided for power grid event level assessment. This gives the weighting and level classification a solid practical basis, enhancing the objectivity, authority, and ability to reflect the actual power grid risk level of the assessment results.

[0107] In some specific embodiments, automatically filling the information from the full shutdown impact analysis results into a preset message template includes: Establish a mapping relationship between the data fields in the full shutdown impact analysis results and the placeholders in the message template; The document object model parser automatically extracts structured data from the full stop impact analysis results; The extracted data is filled into the corresponding positions in the message template according to the mapping relationship.

[0108] By establishing a mapping relationship between the data fields of the analysis results and the placeholders in the message template, and using the document object model parser to automatically extract structured data and fill it into the corresponding positions in the template according to the mapping relationship, the automatic conversion from structured analysis results to formatted report documents is realized. The mapping relationship and parsing technology replace the traditional manual copying, pasting and editing, which greatly improves the efficiency and accuracy of report generation and ensures the consistency between the report content and the underlying analysis data.

[0109] In some specific embodiments, the data fields include: Name of the affected substation, user leased line number, and percentage of load fluctuation; Load loss, transfer path, and backup power supply status; Event duration and event level label.

[0110] By specifically listing the data fields that need to be automatically populated into the message template, including the name of the affected substation, the user's dedicated line number, the percentage of load fluctuation, the amount of load loss, the transfer path, the status of the backup power supply, the duration of the event, and the event level label, the core information elements that the decision message needs to include are clarified. These elements cover key contents such as event location, affected objects, quantitative indicators, handling status, and level evaluation, providing specific data item guidance for designing a comprehensive and useful message template.

[0111] In some specific embodiments, the message template has a preset exclusive template for the following three situations: Power outage status of the entire station; The entire station is switched to another power source as a backup; Only the backup power supply is lost.

[0112] By pre-setting exclusive message templates for three different impact scenarios—whether the entire station loses power, the entire station is switched to another power source, or only the backup power source is lost—differentiated and targeted report content generation is achieved. Different types of total shutdown impact scenarios can automatically apply the most suitable template framework, making the generated decision messages more in line with the actual situation in terms of structure, focus, and expression, thus improving the practicality and guidance value of the reports.

[0113] In some specific embodiments, the automatic fill process further includes: Convert load changes into chart format and embed them into the message; The filled message content undergoes syntax validation and format standardization.

[0114] By specifying that load changes be converted into charts and embedded in the message during the automatic filling process, and by performing syntax verification and format standardization on the filled message content, the quality and readability of the generated decision message are further improved. The chart embedding makes the load data more intuitive and easier to understand, while the automated syntax and format verification ensures the professionalism, standardization and error-free nature of the final document, reducing the workload of manual proofreading.

[0115] In some specific embodiments, the structure of the decision message includes: The basic information section of the event records the event's time, location, and severity level. The impact scope analysis section records the list of affected equipment and the classification of the degree of impact. The load data analysis section records detailed data on load loss and transfer; The response suggestion section provides targeted emergency response plans.

[0116] By stipulating that the structure of decision-making reports must include a basic event information section, an impact scope analysis section, a load data analysis section, and a response recommendation section, a standardized report structure with clear logic and complete content is defined. This structure follows a complete logical chain of event description, impact assessment, data support, and action guidance, ensuring that the generated decision-making reports can comprehensively and systematically reflect the whole picture of the event and provide direct reference for emergency response.

[0117] In some specific embodiments, the method for generating the disposal suggestion section content includes: Based on the event level and scope of impact, best practice solutions are matched from the pre-set response solution library; The plan is adaptively adjusted based on real-time operational data; Generate specific operational steps and timeframes for execution suggestions, which will be included in the handling suggestion section.

[0118] By defining the method for generating disposal recommendations, which includes matching best practices from a pre-set solution library based on event level and impact scope, making adaptive adjustments based on real-time data, and generating execution recommendations with specific operational steps and time nodes, intelligent and personalized generation of disposal recommendations is achieved. This not only enables the rapid retrieval of historical experience but also allows for optimization based on the specific circumstances and real-time status of the current event, ultimately outputting actionable guidelines and enhancing the practical decision-making support capabilities of decision messages in emergency command.

[0119] The following are embodiments of the substation full shutdown simulation analysis system provided in this application. This substation full shutdown simulation analysis system and the substation full shutdown simulation analysis method in the above embodiments belong to the same inventive concept. For details not described in detail in the embodiments of the substation full shutdown simulation analysis system, please refer to the embodiments of the above substation full shutdown simulation analysis method.

[0120] like Figure 2 As shown, the substation total shutdown simulation analysis system includes: The power grid topology model generation module is used to access multi-source data from the power grid dispatching system, parse the physical connection relationships of primary equipment in substations, and generate a power grid topology model. The configuration file generation module is used to set operating mode parameters and generate a structured operating mode configuration file based on the power grid topology model and through the human-machine interface. The operating mode configuration file contains equipment connection relationships and power configuration schemes. The analysis results generation module is used to load the power grid operating status into the power grid topology model according to the operating mode configuration file; receive the user's selection instruction for the target power outage substation, perform topology traversal and electrical impact analysis based on the power grid topology model, and output the full outage impact analysis results including the list of affected equipment and load changes; The decision message generation module is used to calculate the power grid event level based on the results of the full outage impact analysis, and automatically fill the information in the full outage impact analysis results into a preset message template to generate a structured full outage analysis decision message.

[0121] The substation full shutdown simulation analysis system in this embodiment is used to implement the substation full shutdown simulation analysis method.

[0122] This application also provides an electronic device for implementing the various embodiments of this application. Figure 3 To illustrate the hardware structure of an electronic device according to various embodiments of this application, as shown in the following diagram... Figure 3 As shown, the electronic device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor.

[0123] Those skilled in the art will understand that the electronic device structure involved in the embodiments of this application does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0124] In embodiments of this application, electronic devices include, but are not limited to, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0125] In this application embodiment, the processor can be implemented using at least one of an Application-Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a processor, a controller, a microcontroller, a microprocessor, or an electronic unit designed to perform the functions described herein. In some cases, such implementations can be implemented within a controller. For software implementations, implementations such as processes or functions can be implemented with separate software modules that allow the performance of at least one function or operation. The software code can be implemented by a software application (or program) written in any suitable programming language, and the software code can be stored in memory and executed by the controller.

[0126] In addition, the electronic device includes some functional modules not shown, which will not be described in detail here.

[0127] Those skilled in the art will understand that the various aspects of the electronic device provided in this application can be implemented as a system, method, or program product. Therefore, the various aspects of this application can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0128] This application also provides a storage medium storing a program product capable of implementing a substation total outage simulation analysis method. In some possible implementations, various aspects of this application can also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the foregoing "Exemplary Methods" section of this specification according to various exemplary embodiments of this application.

[0129] The storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example,, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0130] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for simulating and analyzing a complete substation outage, characterized in that, include: S1. Access multi-source data from the power grid dispatching system, analyze the physical connection relationships of primary equipment within the substation, and generate a power grid topology model; S2. Based on the power grid topology model, the operating mode parameters are set through the human-machine interface and a structured operating mode configuration file is generated. The operating mode configuration file contains the equipment connection relationship and power supply configuration scheme. S3. Load the power grid operating status into the power grid topology model according to the operating mode configuration file; Receive user's selection instruction for target power outage substation, perform topology traversal and electrical impact analysis based on power grid topology model, and output the full outage impact analysis results including a list of affected equipment and load changes; S4. Based on the results of the full outage impact analysis, calculate the power grid event level and automatically fill the information from the full outage impact analysis results into the preset message template to generate a structured full outage analysis decision message.

2. The substation complete shutdown simulation analysis method as described in claim 1, characterized in that, In step S1, the multi-source data of the power grid dispatching system includes: The remote signaling data provided by the SCADA system includes the unique identifier of primary equipment, circuit breaker status signals, and disconnector status signals; Equipment ledger data includes the unique identifier, standard name, nameplate parameters, and electrical attributes of primary equipment; GIS (Geographic Information System) data includes the geographic coordinates and spatial topology identifiers of primary equipment; Real-time database data from the D5000 system or EMS energy management system, including operating parameters and connection attributes of primary equipment.

3. The substation complete shutdown simulation analysis method as described in claim 2, characterized in that, In step S1, the physical connection relationships of primary equipment within the substation are analyzed to generate a power grid topology model, including: Based on predefined equipment naming rules, the unique identifier of primary equipment in SCADA remote signaling data, the standard name of primary equipment in equipment ledger data, and the spatial topology identifier of primary equipment in GIS geographic information system data are aligned and matched to form a unified equipment identifier mapping relationship. Based on predefined voltage level mapping rules and electrical wiring logic rules, the voltage level of the equipment and the connection status of the busbar are determined according to the SCADA remote signaling status. The spanning tree algorithm is used to traverse the primary device nodes, infer the physical connection path between primary devices based on electrical connectivity, identify and eliminate isolated nodes and false connections by verifying the consistency of connection relationships, and output the initial topology. Connect to the real-time database of the D5000 system or EMS energy management system to obtain the operating parameters and connection attributes of primary equipment; By utilizing a unified device identifier mapping relationship, the acquired device operating parameters and connection attributes are accurately mapped to the corresponding primary device nodes in the initial topology; Based on the initial topology structure with complete equipment parameters and connection attributes attached, a power grid topology model is constructed using the CIM public information model as the standard. SVG scalable vector graphics technology is integrated into the power grid topology model to realize dynamic rendering of the topology map and human-computer interaction functions.

4. The substation complete shutdown simulation analysis method as described in claim 1, characterized in that, In step S2, setting the operating parameters through the human-computer interaction interface includes: A graphical human-computer interaction interface was built based on the power grid topology model. In the human-computer interaction interface, the connection relationships between the main transformer, lines and busbars in the power grid topology model are set; In the human-computer interaction interface, specify the main power supply and backup power supply of the substation in the power grid topology model. In the human-computer interaction interface, the user-dedicated line attributes of the lines within the power grid topology model are identified, and the corresponding user information is associated with them.

5. The substation complete shutdown simulation analysis method as described in claim 1, characterized in that, Step S3, the topology traversal based on the power grid topology model, includes: It provides a visual selection interface and receives user instructions to select the target power outage substation. Starting from the target power outage substation, a breadth-first search algorithm is used to perform a topology traversal along the electrical connection paths in the power grid topology model. Based on the electrical connectivity determination logic, we analyze the related substations and lines affected by the complete shutdown of the target substation.

6. The substation complete shutdown simulation analysis method as described in claim 1, characterized in that, In step S4, based on the results of the total outage impact analysis, the power grid event level is calculated, including: Based on the results of the full shutdown impact analysis, we obtain the percentage of load loss, the number of affected substations, and the number of affected key users. The corresponding load loss percentage weights are determined based on the threshold ranges of the load loss percentage, the number of affected substations, and the number of affected key users. Weight of the number of substations Influence weight of important users ; Calculate event level score The formula is: in, , , These are preset fixed coefficients, and =1; Based on the predefined score range and event level mapping rules and event level scores The score range in which the event occurs determines the level of the power grid event.

7. The substation total shutdown simulation analysis method as described in claim 1, characterized in that, In step S4, automatically filling the information from the full shutdown impact analysis results into the preset message template includes: Establish a mapping relationship between the data fields in the full shutdown impact analysis results and the placeholders in the message template; The document object model parser automatically extracts structured data from the full stop impact analysis results; The extracted data is filled into the corresponding positions in the message template according to the mapping relationship.

8. A substation total shutdown simulation analysis system, characterized in that, The method for implementing the substation complete shutdown simulation analysis method as described in any one of claims 1-7 includes: The power grid topology model generation module is used to access multi-source data from the power grid dispatching system, parse the physical connection relationships of primary equipment in substations, and generate a power grid topology model. The configuration file generation module is used to set operating mode parameters and generate a structured operating mode configuration file based on the power grid topology model through a human-machine interface. The operating mode configuration file contains equipment connection relationships and power configuration schemes. The analysis results generation module is used to load the power grid operating status into the power grid topology model according to the operating mode configuration file; receive the user's selection instruction for the target power outage substation, perform topology traversal and electrical impact analysis based on the power grid topology model, and output the full outage impact analysis results including the list of affected equipment and load changes; The decision message generation module is used to calculate the power grid event level based on the results of the full outage impact analysis, and automatically fill the information in the full outage impact analysis results into a preset message template to generate a structured full outage analysis decision message.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes a computer program, it implements the steps of the substation full shutdown simulation analysis method as described in any one of claims 1-7.

10. A storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the substation full shutdown simulation analysis method as described in any one of claims 1-7.

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