Major network single-pole brake fault risk dynamic research and judgment method and system

Abstract

The invention discloses a main network single-pole brake fault risk dynamic research and judgment method and system, and relates to the technical field of power system risk management. The method comprises the following steps: automatically collecting operation information of power failure equipment, processing the format of the operation information to obtain an information script, and generating a power failure operation equipment table according to the information script; transformer substation names are extracted according to the power failure operation equipment table, single line diagram information is obtained through matching according to the transformer substation names, and risk information is obtained according to the single line diagram information; acquiring a hazard source of each line of the power grid, integrating the hazard sources to obtain a main grid power transmission line reference risk database, and recording the main grid power transmission line reference risk database as a risk database; automatically evaluating the risk of the power failure equipment according to the risk information and a risk database to obtain risk data; and generating a visual risk report according to the risk data, and sending the visual risk report to the user side. The safety and reliability of power grid operation are improved.

Description

Technical Field

[0001] The present application relates to the technical field of power system risk management, and in particular to a method and system for dynamically evaluating the risk of a single-switch fault in a main grid. Background Art

[0002] In the power system, the knife switch is an important switching device, and its operating status is directly related to the safe and stable operation of the power grid. However, since the knife switch operates in the outdoor environment for a long time, it is affected by various factors, such as mechanical wear and electrical aging, which can easily lead to failures. Traditional fault detection methods usually rely on regular inspections and manual judgment. It is necessary to manually check the power outage equipment in the work order system, check the risk source, risk library, and other multi-party comparisons to judge the risk. There are problems such as long detection cycle and insufficient accuracy. With the expansion of the scale and complexity of the power grid, traditional methods can no longer meet the needs of power grid risk management.

[0003] In terms of risk assessment of knife switch operation, the existing information system has not fully played its due role, and a large amount of data sorting and analysis work is still required manually. The manual assessment method is subjective and inconsistent, and it is difficult to ensure the accuracy of the assessment results.

[0004] Some studies have attempted to build risk assessment models to automate the risk assessment process of knife switch operation. However, these models are often too complex to achieve efficient and accurate assessment in practical applications. In addition, the accuracy and reliability of the model are also affected by multiple factors such as data quality and algorithm selection. Although existing risk assessment models can automate the assessment process, they are often affected by factors such as data quality and algorithm selection, resulting in inaccurate assessment results.

[0005] Information integration is difficult. The power grid involves a large number of switch devices, and its operational risk assessment requires the integration of information from multiple systems, including equipment status, load conditions, user information, etc.

[0006] Since existing information systems operate independently and information integration is difficult, risk assessment is inefficient.

[0007] Traditional

[0008] In summary, the existing technology has many problems and challenges in the risk assessment of knife switch operation. Therefore, it is particularly important to develop a method and system that can automatically, accurately and real-timely judge the risk of power grid. Summary of the invention

[0009] The purpose of the present invention is to provide a method and system for dynamically evaluating the risk of a single switch failure in a main network, so as to solve the problems raised in the above background technology and realize real-time and dynamic evaluation of risks, so as to improve the efficiency and accuracy of risk evaluation.

[0010] In the first aspect, the present application provides a method for dynamically evaluating the risk of a single switch failure in a main network, which adopts the following technical solution:

[0011] Automatically collect the operation information of the power outage equipment, process the format of the operation information to obtain the information script, and generate the power outage operation equipment table according to the information script;

[0012] The substation name is extracted from the power outage equipment table, the single-line diagram information is obtained by matching the substation name, and the risk information is obtained based on the single-line diagram information;

[0013] Obtain the hazard source of each line of the power grid, integrate the hazard sources to obtain the benchmark risk database of the main grid transmission lines and record it as the risk database;

[0014] Automatically assess the risk of power outage equipment based on risk information and risk database to obtain risk data;

[0015] Generate a visual risk report based on the risk data and send the visual risk report to the user end.

[0016] Preferably, the steps of automatically collecting the operation information of the power outage equipment, processing the format of the operation information to obtain an information script, and generating the power outage operation equipment table according to the information script are specifically:

[0017] Set a specified time range to obtain the user's login credentials within the specified time range;

[0018] Determine whether the user has the right to access the Web system based on the login credentials. If the user has the right to access the Web system, the user login is successful;

[0019] After the user successfully logs in, the operation information page in the Web system is automatically traversed to collect relevant information about the substation and power outage equipment and record it as operation information;

[0020] The collected operation information is formatted to obtain an information script, key information is extracted according to the information script, and a power outage operation equipment table is generated according to the key information.

[0021] Preferably, the steps of obtaining an information script after formatting the collected operation information, extracting key information according to the information script, and generating a power outage operation equipment table according to the key information are specifically as follows:

[0022] Extract key information from the information script, wherein the key information includes the name of the substation and power outage equipment information;

[0023] The power outage equipment information includes the power outage equipment name, power outage equipment type, power outage equipment number and power outage time;

[0024] Generate a power outage equipment table based on key information and select the preset file format to save it.

[0025] Preferably, the steps of extracting the substation name according to the power outage operation equipment table, obtaining the single-line diagram information according to the substation name matching, and obtaining the risk information according to the single-line diagram information are specifically as follows:

[0026] The substation name is obtained according to the power outage operation equipment table and the power outage equipment information, and the corresponding single-line diagram information is matched in the preset database according to the substation name;

[0027] Use graphic recognition technology to extract equipment data from single-line diagram information;

[0028] Determine the type of the power-off device according to the device data and record it as the device type;

[0029] Create a risk assessment table and match the risk information corresponding to the power outage equipment based on the equipment data and equipment type.

[0030] Preferably, the step of establishing a risk assessment table and matching the risk information corresponding to the power outage equipment in combination with the equipment data and equipment type is specifically as follows:

[0031] The equipment data includes equipment name, location of the power-off equipment on the single-line diagram, and connection status information;

[0032] Acquiring historical data of power grid operation, wherein the historical data includes historical equipment types, historical failure probabilities, and historical failure consequences;

[0033] Determine the risks of different faults to grid operation based on historical data and generate a risk assessment table;

[0034] According to the equipment information and equipment type, the corresponding risk information can be found in the risk assessment table.

[0035] Preferably, the step of obtaining the hazard source of each line of the power grid, integrating the hazard sources to obtain a benchmark risk database of the main grid transmission lines and recording it as a risk database is specifically as follows:

[0036] Obtain all power grid lines, obtain the hazardous sources of all lines, record and integrate the hazardous sources of all lines, and obtain a hazardous source table;

[0037] Extract the hazard factors and dangerous information from the risk database, classify and manage the hazard factors and hazard information in a unified manner, and obtain a hazard factor identification table;

[0038] Obtain the loss load ratio and the loss user ratio, evaluate the risk according to the loss load ratio and the loss user ratio, and obtain a performance risk table;

[0039] The hazard source table, hazard factor identification table and performance risk table are integrated to form a benchmark risk database for the main grid transmission lines and recorded as a risk database.

[0040] Preferably, the step of automatically assessing the risk of power outage equipment according to the risk information and the risk database to obtain risk data is specifically:

[0041] According to the risk information, corresponding assessment information is searched in the risk assessment table, where the assessment information includes equipment type, failure probability and failure consequence;

[0042] Based on the assessment information and risk database, the risk of power outage equipment failure to the operation of the power grid is assessed to obtain risk data;

[0043] The risk data includes risk level and impact scope.

[0044] Preferably, the step of generating a visual risk report according to the risk data and sending the visual risk report to the user terminal is specifically as follows:

[0045] Classify the risk data and match them to corresponding visualization elements according to the classification, which are recorded as chart types and graphic types respectively;

[0046] The risk data is converted according to the chart type and graph type to obtain a visual risk report.

[0047] In the second aspect, the present application provides a main network single knife switch fault risk dynamic analysis system, which adopts the following technical solutions:

[0048] A main network single-switch fault risk dynamic analysis system, comprising:

[0049] The data acquisition module automatically collects the operation information of the power outage equipment, processes the format of the operation information to obtain an information script, and generates a power outage operation equipment table according to the information script;

[0050] The single-line analysis module extracts the substation name according to the power outage equipment table, obtains the single-line diagram information according to the substation name, and obtains the risk information according to the single-line diagram information;

[0051] The risk integration module obtains the hazard source of each line of the power grid, integrates the hazard source to obtain the benchmark risk database of the main grid transmission line and records it as the risk database;

[0052] The risk output module automatically evaluates the risk of power outage equipment based on risk information and risk database to obtain risk data;

[0053] The risk visualization module generates a visual risk report based on the risk data and sends the visual risk report to the user end.

[0054] In summary, the present application includes at least one of the following beneficial technical effects:

[0055] 1. By introducing automated collection and analysis, the present invention achieves comprehensive optimization of the grid risk assessment process. Compared with the traditional manual collection and analysis methods, standardized management and keyword matching technology are adopted. Standardized management ensures the standardization and consistency of data, and avoids misjudgment caused by inconsistent data formats or missing information. The application of this technology makes the results of grid risk assessment more reliable and provides strong support for subsequent decision-making.

[0056] 2. By introducing automated collection and analysis technology, the present invention achieves a comprehensive optimization of the power grid risk assessment process. Compared with the traditional manual collection and analysis method, automated collection can quickly obtain real-time information of power outage switch equipment, while analysis technology can efficiently match and analyze this information with single-line diagram data. This transformation not only greatly shortens the time required for assessment, but also reduces the tediousness of manual operation, thereby significantly improving the efficiency of power grid risk assessment.

[0057] 3. It has the ability to collect and analyze power outage switch equipment information in real time, thus realizing dynamic risk assessment. This means that the system can conduct risk assessment at any time according to the actual operation status of the power grid and output the assessment results in a timely manner. In addition, through visual output technology, the assessment results can be intuitively displayed in the form of charts, graphs, etc., so that operation and maintenance personnel can quickly understand the risk status and take corresponding treatment measures. This dynamic assessment and visual output method greatly improves the flexibility and response speed of power grid risk management. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the specific steps of an embodiment of a method for dynamically evaluating the fault risk of a single switch in a main network according to the present invention.

[0059] Figure 2 It is a module connection diagram of an embodiment of a main network single knife switch fault risk dynamic analysis system of the present invention. DETAILED DESCRIPTION

[0060] Below is a combination of the embodiments and Figure 1-Figure 2 The present invention is further described in detail, but the embodiments of the present invention are not limited thereto.

[0061] The present invention discloses a method for dynamically evaluating the risk of a main network single-switch fault, which specifically comprises the following steps:

[0062] Step S1, automatically collect the operation information of the power outage equipment, process the format of the operation information to obtain an information script, and generate a power outage operation equipment table according to the information script.

[0063] Step S2, extracting the substation name according to the power outage equipment table, obtaining the single-line diagram information according to the substation name matching, and obtaining the risk information according to the single-line diagram information.

[0064] Step S3, obtaining the hazard source of each line of the power grid, integrating the hazard sources to obtain a benchmark risk database of the main grid transmission lines and recording it as a risk database.

[0065] Step S4, automatically assessing the risk of the power outage equipment based on the risk information and the risk database to obtain risk data.

[0066] Step S5, generating a visualized risk report based on the risk data, and sending the visualized risk report to the user end.

[0067] In actual application, in order to achieve accurate control of power grid risks, the present invention first establishes a benchmark risk database for the main grid transmission lines. The database uses the line name as a standardized keyword and integrates and records the hazard sources of each line in detail. This measure not only improves the traceability of risk data, but also provides strong data support for subsequent risk assessment and response.

[0068] The steps of automatically collecting the operation information of the power outage equipment, processing the format of the operation information to obtain the information script, and generating the power outage operation equipment table according to the information script are specifically as follows:

[0069] Step S11, setting a specified time range, and obtaining the user's login credentials within the specified time range.

[0070] First, write a script using PYTHON and use the login interface of the Web system to achieve automated login. This step requires obtaining the login credentials of the Web system (such as user name, password, etc.) in advance and ensuring that the script can correctly simulate the user's login behavior. After a successful login, the script will be able to access the job information page in the Web system. In order to further improve the level of automation, the script can also support scheduled task functions. By configuring scheduled tasks, the script can automatically perform operations such as login, collection, formatting, and table generation within a specified time period, realizing automated management of the entire process.

[0071] Step S12, determining whether the user has the right to access the Web system based on the login credentials, if the user has the right to access the Web system, the user login is successful.

[0072] Step S13, after the user logs in successfully, the operation information page in the Web system is automatically traversed, and the relevant information of the substation and the power outage equipment is collected and recorded as the operation information.

[0073] Step S14, formatting the collected operation information to obtain an information script, extracting key information according to the information script, and generating a power outage operation equipment table according to the key information.

[0074] In actual application, the collected operation information needs to be formatted for subsequent analysis and application. In the present invention, the script will organize the collected substation and power outage equipment information to generate a standardized power outage operation equipment table. The table will be named in the format of "substation name + power outage equipment name" to ensure that each power outage equipment has a unique and clear identification.

[0075] The steps of obtaining an information script after formatting the collected operation information, extracting key information according to the information script, and generating a power outage operation equipment table according to the key information are as follows:

[0076] Step S141, extracting key information from the information script, the key information including the name of the substation and the power outage equipment information.

[0077] Step S142, the power outage device information includes the power outage device name, power outage device type, power outage device number and power outage time.

[0078] Step S143, generating a power outage operation equipment table according to the key information, and selecting a preset file format for saving.

[0079] In actual use, after formatting, the script will automatically generate a power outage equipment table and save it in a file format that is easy to read and process, such as CSV, Excel, etc. These tables will contain key information such as substation name, power outage equipment name, power outage time, etc., providing strong data support for subsequent power grid operation and maintenance work.

[0080] The steps of extracting the substation name according to the power outage operation equipment table, obtaining the single-line diagram information according to the substation name, and obtaining the risk information according to the single-line diagram information are as follows:

[0081] Step S21, extracting the substation name according to the power outage equipment table and the power outage equipment information, and matching the corresponding single-line diagram information in a preset database according to the substation name.

[0082] First, the name of the substation is extracted based on the collected power outage equipment information. Then, the name is used to match the corresponding single-line diagram information in the database. The single-line diagram is a graphical representation of the power grid structure, which contains the connection relationship and location information between the various devices in the substation.

[0083] Step S22, using graphic recognition technology to extract equipment data from the single-line diagram information.

[0084] After obtaining the single-line diagram information, use graphic recognition or data analysis technology to extract the equipment data on the single-line diagram. This includes key information such as the name, type, and connection status of the equipment. By comparing the power-off equipment information with the equipment data on the single-line diagram, the location of the corresponding power-off equipment on the single-line diagram and its related information can be found.

[0085] Step S23, determining the type of the power-off device according to the device data and recording it as the device type.

[0086] Combined with the location and connection relationship of the power outage equipment on the single-line diagram, as well as the same tower installation information (i.e. multiple lines installed on the same tower), the type of power outage equipment is determined. These types reflect the importance of the equipment in the power grid and the possible failure mode.

[0087] Step S24, establishing a risk assessment table, and matching the risk information corresponding to the power outage equipment in combination with the equipment data and equipment type.

[0088] In actual use, the categories of the assessed equipment are further divided according to the determined equipment types. The categories of assessed equipment may be divided based on factors such as the voltage level of the equipment, the importance of the function, and the scope of the fault impact. This step helps the subsequent risk assessment work to more accurately locate key equipment and weak links. According to the risk assessment table, match the equipment name, equipment type, assessment equipment and other information. The risk assessment table is a database or table containing information such as equipment type, failure probability, and failure consequences, which is used to assess the risk of equipment failure to the operation of the power grid. Through matching, the risk information that may be brought by the power outage equipment can be determined, including the severity of the risk, the scope of impact, etc.

[0089] The steps to establish a risk assessment table and match the risk information corresponding to the power outage equipment with the equipment data and equipment type are as follows:

[0090] Step S241, the equipment data includes the equipment name, the location of the power-off equipment on the single-line diagram, and the connection status information.

[0091] Step S242, obtaining historical data of power grid operation, the historical data including historical equipment types, historical failure probabilities, and historical failure consequences.

[0092] Step S243, determining the risks of different faults to the operation of the power grid based on historical data, and generating a risk assessment table.

[0093] Step S244: Look up the corresponding risk information in the risk assessment table according to the device information and device type.

[0094] The steps of obtaining the hazard source of each line of the power grid, integrating the hazard source to obtain the benchmark risk database of the main grid transmission line and recording it as the risk database are as follows:

[0095] Step S31, obtain all the lines of the power grid, obtain the danger sources of all the lines, record and integrate the danger sources of all the lines, and obtain a danger source table.

[0096] Step S32, extracting the hazard factors and danger information in the risk database, classifying and managing the hazard factors and hazard information in a unified manner, and obtaining a hazard factor identification table.

[0097] In order to further improve the level of refinement of risk management, a hazard factor identification table was established. This table uniformly classifies and manages various hazard factors and dangerous information, and sets up hazard factor keywords for quick retrieval and matching. This approach effectively avoids the phenomenon of information islands and ensures the comprehensiveness and accuracy of risk information.

[0098] Step S33, obtaining the loss load ratio and the loss user ratio, evaluating the risk according to the loss load ratio and the loss user ratio, and obtaining a performance risk table.

[0099] Step S34, integrating the hazard source table, the hazard factor identification table and the performance risk table to form a main grid transmission line benchmark risk database and record it as a risk database.

[0100] In actual application, in terms of risk assessment, the present invention cleverly uses the "pre-action" principle in TRIZ innovative knowledge. By integrating the historical risks of the power supply bureau's substations and the equipment data of possible risks in the future, a main grid risk (event) assessment table is formed. The assessment table lists in detail the various types of equipment, evaluates key indicators such as equipment types, and conducts a quantitative classification assessment of risks. In order to realize the automation and intelligence of risk assessment, calculation formulas and automatic association matching mechanisms are also set up. Through keyword search and matching methods (common methods in the prior art) and calculation formulas, the system can automatically calculate key indicators such as the proportion of lost loads and the proportion of lost users, and rate risks based on this information.

[0101] The estimated loss load ratio of this fault is calculated through the formula: Loss load ratio (%) = loss load (MW) / large mode load * 100%. The risk level corresponding to the estimated loss load ratio is searched in the risk database to obtain the loss load rating corresponding to this fault.

[0102] The estimated proportion of lost users for this failure is calculated through the formula: Proportion of lost users (%) = number of lost users (households) / total number of users (households) * 100%. The risk level corresponding to the estimated proportion of lost users is searched in the risk database to obtain the loss user classification corresponding to this failure (non-urban area).

[0103] By setting the calculation formula: probability value = hazard inclination coefficient * historical data statistical factor * equipment type factor * fault category factor, hazard value = hazard severity value * loss load or user nature factor. On the basis of the above, the application risk value = hazard value * probability value, the calculated application risk value is matched with the risk library to obtain the corresponding risk level.

[0104] At the same time, the system can also automatically correlate and match with the performance risk table and the hazard factor identification table, so as to achieve comprehensive identification and accurate response to risks. In order to ensure the timeliness and effectiveness of risk management, a dynamic update mechanism for risk data is also implemented. As the power grid operating environment changes and risks evolve, the system can update risk data in real time to ensure the accuracy and reliability of risk assessment results. In addition, the system also supports the continuous optimization of risk management strategies to cope with the ever-changing power grid risk challenges.

[0105] The steps of automatically assessing the risk of power outage equipment based on risk information and risk database and obtaining risk data are as follows:

[0106] Step S41, according to the risk information, the corresponding assessment information is searched in the risk assessment table, and the assessment information includes equipment type, failure probability and failure consequence.

[0107] Step S42, based on the assessment information and the risk database, assess the risk of power outage equipment failure to the operation of the power grid to obtain risk data.

[0108] Step S43: risk data includes risk level and impact scope.

[0109] In actual use, the program is set to automatically collect real-time information of the power outage switch equipment, including key data such as the equipment status, location, and substation to which it belongs. This step ensures the accuracy and timeliness of subsequent analysis. After collecting the power outage switch equipment information, the program will automatically perform real-time dynamic analysis with the latest single-line diagram data. As a graphical representation of the power grid structure, the single-line diagram contains the connection relationship and location information between devices. Through analysis, the program can obtain the specific location and impact range of the power outage equipment in the power grid in real time. Based on the analysis of the power outage equipment and the single-line diagram data, the program will automatically analyze the risk against the risk assessment table. The risk assessment table contains key information such as equipment type, failure probability, and failure consequences, which is used to assess the risk of equipment failure to the operation of the power grid. Through comparison and analysis, the program can automatically determine the risk level and impact range that the power outage equipment may bring.

[0110] The steps of generating a visual risk report based on risk data and sending the visual risk report to the user end are as follows:

[0111] Step S51, classify the risk data, and match the corresponding visualization elements according to the classification, which are recorded as chart types and graphic types respectively.

[0112] Step S52: convert the risk data according to the chart type and the graph type to obtain a visual risk report.

[0113] In actual use, in order to intuitively display the results of risk assessment, the program will generate a visual risk report. The report will contain detailed information of the power outage equipment, risk level, scope of impact, possible failure modes, and recommended countermeasures. Through visualization elements such as charts and graphs, the report will make the risk information more intuitive and easy to understand, making it easier for power grid operation and maintenance personnel to quickly understand the risk status and take corresponding treatment measures. Since the single-line diagram is often updated to reflect the latest structural changes in the power grid, in order to ensure the accuracy of risk assessment, the present invention implements a single automatic update function for single-line diagram elements and risk elements. This means that when the single-line diagram changes, the program can automatically identify and update the relevant element information, thereby ensuring the accuracy and timeliness of risk assessment. At the same time, this update method also avoids the tedious process of re-parsing the entire single-line diagram, thereby improving the operating efficiency of the program.

[0114] A main network single knife switch fault risk dynamic assessment system, by applying a main network single knife switch fault risk dynamic assessment method as described above, comprises:

[0115] The data acquisition module automatically collects the operation information of the power outage equipment, processes the format of the operation information to obtain an information script, and generates a power outage operation equipment table based on the information script.

[0116] The single-line analysis module extracts the substation name based on the power outage equipment table, obtains the single-line diagram information based on the substation name, and obtains the risk information based on the single-line diagram information.

[0117] The risk integration module obtains the hazard source of each line in the power grid, integrates the hazard source to obtain the benchmark risk database of the main grid transmission line and records it as the risk database.

[0118] The risk output module automatically evaluates the risk of power outage equipment based on risk information and risk database to obtain risk data.

[0119] The risk visualization module generates a visual risk report based on the risk data and sends the visual risk report to the user end.

[0120] In actual application: through automatic collection of power outage switch equipment information, real-time dynamic analysis of power outage equipment and single-line diagram data, automatic risk assessment against risk assessment table, visual output of risk report, and automatic update of single-line diagram and risk elements and other optimization measures, the present invention realizes real-time and accurate assessment of power grid risks, providing strong guarantee for the safe and stable operation of the power grid.

[0121] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for dynamically evaluating the risk of a single switch failure in a main network, characterized in that: The following steps are involved: Automatically collect the operation information of the power outage equipment, process the format of the operation information to obtain the information script, and generate the power outage operation equipment table according to the information script; The substation name is extracted from the power outage equipment table, the single-line diagram information is obtained by matching the substation name, and the risk information is obtained based on the single-line diagram information; Obtain the hazard source of each line of the power grid, integrate the hazard sources to obtain the benchmark risk database of the main grid transmission lines and record it as the risk database; Automatically assess the risk of power outage equipment based on risk information and risk database to obtain risk data; Generate a visual risk report based on the risk data and send the visual risk report to the user end.

2. A method for dynamically evaluating the risk of a main network single switch failure according to claim 1, characterized in that: The steps of automatically collecting the operation information of the power outage equipment, processing the format of the operation information to obtain an information script, and generating a power outage operation equipment table according to the information script are specifically as follows: Set a specified time range to obtain the user's login credentials within the specified time range; Determine whether the user has the right to access the Web system based on the login credentials. If the user has the right to access the Web system, the user login is successful; After the user successfully logs in, the operation information page in the Web system is automatically traversed to collect relevant information about the substation and power outage equipment and record it as operation information; The collected operation information is formatted to obtain an information script, key information is extracted according to the information script, and a power outage operation equipment table is generated according to the key information.

3. A method for dynamically evaluating the risk of a main network single switch failure according to claim 2, characterized in that: The steps of obtaining an information script after formatting the collected operation information, extracting key information according to the information script, and generating a power outage operation equipment table according to the key information are specifically as follows: Extract key information from the information script, wherein the key information includes the name of the substation and power outage equipment information; The power outage equipment information includes the power outage equipment name, power outage equipment type, power outage equipment number and power outage time; Generate a power outage equipment table based on key information and select the preset file format to save it.

4. A method for dynamically evaluating the risk of a main network single switch failure according to claim 1, characterized in that: The steps of extracting the substation name according to the power outage operation equipment table, obtaining the single-line diagram information according to the substation name matching, and obtaining the risk information according to the single-line diagram information are specifically as follows: The substation name is obtained according to the power outage operation equipment table and the power outage equipment information, and the corresponding single-line diagram information is matched in the preset database according to the substation name; Use graphic recognition technology to extract equipment data from single-line diagram information; Determine the type of the power-off device according to the device data and record it as the device type; Create a risk assessment table and match the risk information corresponding to the power outage equipment based on the equipment data and equipment type.

5. A method for dynamically evaluating the risk of a main network single switch failure according to claim 4, characterized in that: The steps of establishing a risk assessment table and matching the risk information corresponding to the power outage equipment with the equipment data and equipment type are specifically as follows: The equipment data includes equipment name, location of the power-off equipment on the single-line diagram, and connection status information; Acquiring historical data of power grid operation, wherein the historical data includes historical equipment types, historical failure probabilities, and historical failure consequences; Determine the risks of different faults to grid operation based on historical data and generate a risk assessment table; According to the equipment information and equipment type, the corresponding risk information can be found in the risk assessment table.

6. A method for dynamically evaluating the risk of a main network single switch failure according to claim 1, characterized in that: The steps of obtaining the hazard source of each line of the power grid, integrating the hazard sources to obtain the benchmark risk database of the main grid transmission lines and recording it as the risk database are specifically as follows: Obtain all power grid lines, obtain the hazardous sources of all lines, record and integrate the hazardous sources of all lines, and obtain a hazardous source table; Extract the hazard factors and dangerous information from the risk database, classify and manage the hazard factors and hazard information in a unified manner, and obtain a hazard factor identification table; Obtain the loss load ratio and the loss user ratio, evaluate the risk according to the loss load ratio and the loss user ratio, and obtain a performance risk table; The hazard source table, hazard factor identification table and performance risk table are integrated to form a benchmark risk database for the main grid transmission lines and recorded as a risk database.

7. A method for dynamically evaluating the risk of a main network single switch failure according to claim 1, characterized in that: The step of automatically assessing the risk of power outage equipment according to the risk information and the risk database to obtain risk data is specifically as follows: According to the risk information, corresponding assessment information is searched in the risk assessment table, where the assessment information includes equipment type, failure probability and failure consequence; Based on the assessment information and risk database, the risk of power outage equipment failure to the operation of the power grid is assessed to obtain risk data; The risk data includes risk level and impact scope.

8. A method for dynamically evaluating the risk of a main network single switch failure according to claim 1, characterized in that: The step of generating a visual risk report based on the risk data and sending the visual risk report to the user end is specifically as follows: Classify the risk data and match them to corresponding visualization elements according to the classification, which are recorded as chart types and graphic types respectively; The risk data is converted according to the chart type and graph type to obtain a visual risk report.

9. A main network single switch fault risk dynamic analysis system, characterized in that: A method for dynamically evaluating the risk of a main network single-switch fault applied to any one of claims 1 to 8, comprising: The data acquisition module automatically collects the operation information of the power outage equipment, processes the format of the operation information to obtain an information script, and generates a power outage operation equipment table according to the information script; The single-line analysis module extracts the substation name according to the power outage equipment table, obtains the single-line diagram information according to the substation name, and obtains the risk information according to the single-line diagram information; The risk integration module obtains the hazard source of each line of the power grid, integrates the hazard source to obtain the benchmark risk database of the main grid transmission line and records it as the risk database; The risk output module automatically evaluates the risk of power outage equipment based on risk information and risk database to obtain risk data; The risk visualization module generates a visual risk report based on the risk data and sends the visual risk report to the user end.

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