A power grid risk checking method and system based on correlation analysis

Abstract

The present application relates to the technical field of data processing, and particularly relates to a power grid risk checking method and system based on correlation analysis, which comprises obtaining a power grid operation mode, and taking a power grid network in the power grid operation mode as a model and an operation state as a measurement; defining an initial operation mode as a ground state mode, performing static security checking on the ground state mode, and calculating a cross section, a load rate and a transfer ratio thereof; obtaining a power grid equipment maintenance plan, matching the maintenance equipment with the power grid network model, updating the maintenance equipment state to the power grid operation mode, and generating a new maintenance operation mode. The present application has the beneficial effect that the maintenance plan causing the power grid risk can be effectively analyzed according to the load rate and the transfer ratio, the relationship between the risk and the maintenance is calculated through correlation analysis, the future operation condition of the power grid is highly controlled, the intelligent arrangement of the maintenance plan can be effectively guided, and the fine management of the power grid maintenance is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for verifying power grid risk based on correlation analysis. Background Art

[0002] With the rapid development of society and the increasing demand for electricity for daily life and production, the operation and management of power grids are becoming increasingly complex. The grid's base-state architecture is often calculated to withstand various risks. However, as the grid grows in size, maintenance work becomes increasingly demanding. Currently, maintenance plan verification relies on manual verification, requiring extensive manual calculations to determine the final impact range. In extreme scenarios or emergency power outages, it's impossible to quickly identify the affected sections and quantitative data, making it difficult for maintenance personnel to quickly implement maintenance changes, relevant measures, or prepare emergency plans. Summary of the Invention

[0003] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

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

[0005] Therefore, the present invention provides a power grid risk verification method based on correlation analysis, which can solve the problems mentioned in the background technology.

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

[0007] In a first aspect, the present invention provides a method for verifying power grid risk based on correlation analysis, comprising obtaining a power grid operation mode, and using the power grid frame in the power grid operation mode as a model, and the operation state as a measurement;

[0008] The initial operation mode is defined as the base state mode, and the static safety check of the base state mode is performed to calculate the section and its load rate and transfer ratio;

[0009] Obtain the maintenance plan for power grid equipment, match the maintenance equipment with the power grid model, and update the maintenance equipment status to the power grid operation mode to generate a new maintenance operation mode;

[0010] Conduct static safety checks on the newly generated maintenance operation mode, calculate the over-limit section and its load rate and transfer ratio;

[0011] Analyze the cross-limit sections with the same cross-section composition between the maintenance operation mode and the base state operation mode. If any change in the load rate and transfer ratio meets the requirements, the cross-limit section related to maintenance is obtained.

[0012] Based on the obtained maintenance plan, the maintenance correlation between individual maintenance equipment and out-of-limit equipment is analyzed one by one to obtain the maintenance risk verification results.

[0013] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the power grid operation mode is obtained, and the power grid frame in the power grid operation mode is used as a model, and the operation state is measured, including:

[0014] Parsing grid mode files;

[0015] Obtain models and measurements in the power grid;

[0016] Perform topological analysis on power grid models and measurements, including power flow calculation and static safety verification.

[0017] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the initial operation mode is defined as the base state mode, the base state mode is statically verified, and the section and its load rate and transfer ratio are calculated, including

[0018] Simulate grid operation through power flow calculations and optimize the grid through power generation corrections;

[0019] By defining fault sets and performing static safety checks, we can predict the response of the power grid under different fault conditions and evaluate its safety.

[0020] Analyze and calculate the load conditions of the power grid section and the power flow transfer ratio after the fault.

[0021] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the obtaining of the power grid equipment maintenance plan, matching the maintenance equipment with the power grid model, and updating the maintenance equipment status to the power grid operation mode to generate a new maintenance operation mode, includes:

[0022] Obtain maintenance plans for power grid equipment, including merging and writing operations, to achieve orderly management of maintenance activities;

[0023] By adjusting the equipment connection relationship in the base state file, the actual state of the power grid during maintenance is simulated;

[0024] Assess and troubleshoot potential impacts on grid stability and security;

[0025] By updating the grid status, data is provided for optimized operation and risk prevention of the grid.

[0026] As a preferred scheme of the power grid risk checking method based on correlation analysis of the application, wherein: the static security checking of the newly generated maintenance operation mode is carried out, and the over-limit section, its load rate and transfer ratio are calculated, including,

[0027] The specific impact of maintenance on power grid stability is evaluated through power flow calculation and static security checking;

[0028] Potential risk points in the power grid are identified through the calculation of section load rate and power flow transfer ratio;

[0029] By applying the safety standard limit, it is ensured that the operation of the power grid in the maintenance state will not exceed the safety threshold;

[0030] By analyzing the power flow transfer ratio, the response of the power grid to faults is optimized.

[0031] As a preferred scheme of the power grid risk checking method based on correlation analysis of the application, wherein: the over-limit section with the same section composition of the base state operation mode and the maintenance operation mode is analyzed, and if any change in the load rate and the transfer ratio meets the requirements, the over-limit section related to the maintenance is obtained, including,

[0032] The impact of maintenance on the section load rate and power flow transfer ratio of the power grid is quantified, and the specific impact of maintenance on the stability of the power grid is evaluated;

[0033] By setting a change dead zone, sections that may lead to increased risk due to maintenance are identified;

[0034] Through the analysis of the maintenance-related sections, preventive maintenance strategies are developed.

[0035] As a preferred scheme of the power grid risk checking method based on correlation analysis of the application, wherein: based on the obtained maintenance plan, the maintenance correlation of each maintenance device with the over-limit device is analyzed one by one, and the maintenance risk checking result is obtained, including

[0036] By analyzing each maintenance device one by one, fine management of the impact of maintenance activities is realized;

[0037] The risk of individual maintenance activities to the stability of the power grid is evaluated to provide a basis for risk control;

[0038] According to the correlation analysis result of the maintenance device, a differentiated maintenance strategy is developed to optimize resource allocation;

[0039] By identifying and analyzing the maintenance-related sections, the adaptability and resilience of the power grid to maintenance activities are improved.

[0040] In a second aspect, the application provides a power grid risk checking method based on correlation analysis, comprising: a construction module for constructing a power grid framework model, which is the core of power grid risk checking;

[0041] The processing module processes the power grid operation data by constructing a power grid framework model.

[0042] The generating module is configured to further input the fusion feature map generated by the processing module into the data processing subunit.

[0043] The analysis module is configured to analyze the enhanced power grid state image, identify the maintenance-related section, compare the power grid states before and after the maintenance, and evaluate the influence of the maintenance on the stability of the power grid.

[0044] The optimization module is configured to analyze the results, improve the power grid configuration, or enhance the fault tolerance of the power grid.

[0045] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method as described above when executing the computer program.

[0046] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the method as described above.

[0047] Compared with the prior art, the present application has the following beneficial effects: the maintenance plan causing the risk of the power grid can be effectively analyzed according to the load rate and the transfer ratio, the relationship between the risk and the maintenance is calculated through correlation analysis, the future operation of the power grid is highly controlled, the intelligent arrangement of the maintenance plan is effectively guided, and the fine management of the power grid maintenance is realized. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor. Among them:

[0049] Figure 1 The flowchart of the power grid risk checking method based on correlation analysis.

[0050] Figure 2 The internal structure diagram of the computer device. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification.

[0052] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0053] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0054] Example 1

[0055] Reference Figure 1 , which is the first embodiment of the present invention, provides a power grid risk verification method based on correlation analysis, which includes:

[0056] S1. Obtain the grid operation mode, and use the grid frame in the grid operation mode as a model, and the operation state as measurement.

[0057] Furthermore, the grid operation mode is obtained, and the grid frame in the grid operation mode is used as a model, and the operation state is measured including,

[0058] Parsing grid mode files;

[0059] Obtain models and measurements in the power grid;

[0060] Perform topological analysis on power grid models and measurements, including power flow calculation and static safety verification.

[0061] It should be noted that in actual operation, the load and unit output of the power grid must be basically balanced to achieve normal operation of the power grid. The status of many components and the size of the load and unit output constitute the power grid operation mode file. According to the equipment connected to the bus in the power grid mode file, a topological analysis of the connection relationship is performed, and all switches in the closed state are directly connected, and all switches in the open state are disconnected to realize the conversion from the bus switch model to the node branch model, so as to facilitate the flow calculation and static safety analysis.

[0062] In some embodiments, the specific implementation of step S1 (obtaining the grid operation mode, and using the grid frame in the grid operation mode as a model, and the operation state as measurement) includes:

[0063] First, the operation mode of the power grid can be obtained from the SCADA system. The SCADA system is an important tool for monitoring and controlling the power system. The data file is exported in a special format (*.xml format for model files, *.dt format for measurement files) from the SCADA system and parsed in the specified format to complete the acquisition of the model and measurement in the model and measurement files. The acquired model includes bus, component and other data. The acquired measurement data includes switch status, load, unit output and other data. The switch status is processed, all switches in the closed state are directly connected, and all switches in the open state are disconnected. In this way, the conversion from the bus switch model to the node branch model is realized, and a *.dat file is generated. The file format is consistent with the BPA file format for power flow calculation.

[0064] S2. Define the initial operating mode as the base state mode, perform static safety verification on the base state mode, and calculate the section and its load rate and transfer ratio.

[0065] Furthermore, the initial operation mode is defined as the base state mode, and the base state mode is statically checked for safety, and the section and its load rate and transfer ratio are calculated, including

[0066] Simulate grid operation through power flow calculations and optimize the grid through power generation corrections;

[0067] By defining fault sets and performing static safety checks, we can predict the response of the power grid under different fault conditions and evaluate its safety.

[0068] Analyze and calculate the load conditions of the power grid section and the power flow transfer ratio after the fault.

[0069] It should be noted that the base state file is used for flow calculation to determine the rationality of the flow, and manual power generation correction is performed on the unreasonable flow to make the operation mode more in line with the actual production scenario; then the fault set is defined, and a static safety check is performed based on the fault set. The section load rate is given based on the section definition, and the flow transfer ratio between the faulty component and other components is given based on the base state flow results and the flow results after the expected fault.

[0070] In some embodiments, the specific implementation of step S2 (defining the initial operating mode as a base state mode, performing a static safety check on the base state mode, and calculating the cross-section and its load rate and transfer ratio) includes:

[0071] First, perform a power flow calculation on the *.dat file. If the power flow calculation result is inconsistent with the ideal state, adjust the power generation of the unit to make the power flow calculation result consistent with the ideal state.

[0072] Next, define the fault set. The fault set can be set to 500kV line and main transformer N-1, 220kV line N-1, and line N-2 on the same tower.

[0073] Next, a static safety analysis is performed based on the fault set. This involves disconnecting all components or groups of components involved in the fault set one by one. During this disconnection process, if the bus is connected, all components connected to that bus are transferred to the corresponding bus via a switch topology to provide power. Furthermore, if an automatic device is present, after disconnecting the component, the automatic device's action is simulated, closing the corresponding component to ensure load protection.

[0074] Finally, calculate the load rate and transfer ratio of the section:

[0075] Load rate: equipment active power / equipment current carrying capacity. (Baseline current carrying capacity is long-term current carrying capacity, while the current carrying capacity of equipment after static safety analysis is short-term current carrying capacity)

[0076] Transfer ratio: (active power flow after equipment failure - active power flow before equipment failure) / base state active power flow of equipment with anticipated failure.

[0077] Definition of out-of-limit section: (transfer ratio*expected fault equipment)+equipment>equipment current carrying capacity.

[0078] S3. Obtain the maintenance plan for the power grid equipment, match the maintenance equipment with the power grid model, and update the maintenance equipment status to the power grid operation mode to generate a new maintenance operation mode.

[0079] Furthermore, the maintenance plan of the power grid equipment is obtained, the maintenance equipment is matched with the power grid model, and the maintenance equipment status is updated to the power grid operation mode to generate a new maintenance operation mode, including:

[0080] Obtain maintenance plans for power grid equipment, including merging and writing operations, to achieve orderly management of maintenance activities;

[0081] By adjusting the equipment connection relationship in the base state file, the actual state of the power grid during maintenance is simulated;

[0082] Assess and troubleshoot potential impacts on grid stability and security;

[0083] By updating the grid status, data is provided for optimized operation and risk prevention of the grid.

[0084] It should be noted that the power grid equipment maintenance plan is obtained from the power grid outage management system, and the maintenance plan includes maintenance equipment, maintenance start time, maintenance end time and the like; the maintenance plans are extracted one by one, for the maintenance plans with the same date, which are combined in the same maintenance group, and then the maintenance plans in the same maintenance group are written into the ground state file one by one, for the outage equipment, the connection relationship of the element is disconnected from the ground state file; for the equipment to be put into operation, the connection relationship of the element is reconnected from the ground state file; for the equipment with mode change, the connection relationship of the element is changed from the original connection to the new connection from the ground state file. The same maintenance group is written into the same ground state file to form a new maintenance operation mode for the maintenance group.

[0085] In some embodiments, the specific implementation of step S3 (obtaining the power grid equipment maintenance plan, matching the maintenance equipment with the power grid network model, and updating the maintenance equipment state to the power grid operation mode to generate a new maintenance operation mode) includes:

[0086] Taking the maintenance plan of a certain interval, the format is as follows;

[0087] Applicant Power outage equipment Start time End Time Planned maintenance 500kV NYE line 2023-06-04 2023-06-05 Planned maintenance 500kVMYY line 2023-06-04 2023-06-06 Planned maintenance 220kVHC line 2023-06-03 2023-06-04

[0088] It can be understood that the maintenance plan finally forms four maintenance groups, the first maintenance group is the maintenance of the 220kV HC line on June 3, 2023, the second maintenance group is the maintenance of the 500kV NYE line + 500kV MYY line + 220kV HC line on June 4, 2023, the third maintenance group is the maintenance of the 500kV NYE line + 500kV MYY line on June 5, 2023, and the fourth maintenance group is the maintenance of the 500kV MYY line on June 6, 2023.

[0089] The maintenance group is written into the ground state file.

[0090] For the ground state file (*.dat), the state of the 220kV HC line is set to split when the first maintenance group is written, the states of the 220kV HC line, the 500kV NYE line and the 500kV MYY line are set to split when the second maintenance group is written, the states of the 500kV NYE line and the 500kV MYY line are set to split when the third maintenance group is written, and the state of the 500kV MYY line is set to split when the fourth maintenance group is written.

[0091] S4, performing static security check on the newly generated maintenance operation mode, calculating the over-limit section, load rate and transfer ratio thereof.

[0092] Further, the static security check on the newly generated maintenance operation mode, calculating the over-limit section, load rate and transfer ratio thereof includes,

[0093] Evaluate the specific impact of maintenance on grid stability through power flow calculation and static safety verification;

[0094] Identify potential risk points in the power grid by calculating section load rate and power flow transfer ratio;

[0095] By applying safety standard limits, ensure that the operation of the power grid during maintenance does not exceed the safety threshold;

[0096] Optimize the grid's response to faults by analyzing power flow transfer ratios.

[0097] It should be noted that the base state flow calculation is performed one by one for the newly generated maintenance operation mode, and then a static safety check is performed based on the fault set used in the base state file. The section load rate is given based on the section definition, and a limit is set to give all sections with a section load rate greater than the limit. Based on the base state flow results of the maintenance operation mode and the flow results after the expected fault, the flow transfer ratio between the faulty component and other components greater than a certain transfer value is given.

[0098] In some embodiments, the specific implementation of step S4 (performing a static safety check on the newly generated maintenance operation mode, calculating the cross-limit section and its load rate and transfer ratio) includes:

[0099] Calculation condition settings

[0100] Set the load rate threshold to 80% and the transfer ratio threshold to 0.05. Filter out risk information based on the calculation conditions. Filter affected devices based on the load rate threshold and transfer ratio threshold.

[0101] As shown in Table 1: Example of affected equipment:

[0102]

[0103]

[0104] S5. Analyze the over-limit sections with the same section composition between the maintenance operation mode and the base state operation mode. If any change in the load rate and transfer ratio meets the requirements, the over-limit section related to maintenance is obtained.

[0105] Furthermore, the cross-limit sections with the same cross-section composition as the maintenance operation mode and the base state operation mode are analyzed. If any change in the load rate and transfer ratio meets the requirements, the cross-limit sections related to maintenance are obtained, including:

[0106] By quantifying the impact of maintenance on the grid section load rate and power flow transfer ratio, and evaluating the specific impact of maintenance on grid stability;

[0107] By setting a dead zone for changes, sections where maintenance may lead to increased risks can be identified;

[0108] Formulate preventive maintenance strategies through analysis of maintenance-related sections.

[0109] It should be noted that the load rate of the over-limit section is compared with the load rate in the base state file, and a certain variation dead zone is set. If the variation exceeds the variation dead zone, it is considered a maintenance-related section. The power flow transfer ratio between the faulty component and other components in the over-limit section is compared with the transfer ratio between the same components in the base state file, and a certain variation dead zone is set. If the variation exceeds the variation dead zone, it is considered a maintenance-related section.

[0110] In some embodiments, the specific implementation of step S5 (analyzing the cross-limit sections having the same cross-section composition as the maintenance operation mode and the base state operation mode, and obtaining the maintenance-related cross-limit sections if any change in the load rate and the transfer ratio meets the requirements) includes:

[0111] Calculation condition settings:

[0112] Set the load rate threshold to 80%, the transfer ratio threshold to 0.05, the load rate change threshold to 0.05, and the transfer ratio change threshold to 0.05. Filter out affected devices and sections based on the load rate threshold and the change in the transfer ratio threshold.

[0113] The maintenance over-limit sections obtained through static safety verification calculation based on the maintenance operation mode are compared one by one with the base state sections, and the base state sections with the same maintenance over-limit section composition are associated with each other. The changes in any of their load rates and transfer ratios are compared to see whether they are greater than the set threshold, and it is determined that the maintenance over-limit section is related to the maintenance equipment.

[0114] Taking the maintenance plan (HC, MYY, and NYE lines) in this example, the final output includes the expected fault equipment, affected equipment, active power flow, load factor, and transfer ratio, which are the following maintenance-related cross-limit sections:

[0115] Table 2: Example of over-limit sections related to maintenance on HC line, MYY line and NYE line:

[0116]

[0117]

[0118] S6. Based on the obtained maintenance plan, analyze the maintenance correlation between individual maintenance equipment and out-of-limit equipment one by one to obtain the maintenance risk verification results.

[0119] Furthermore, based on the obtained maintenance plan, the maintenance correlation between individual maintenance equipment and out-of-limit equipment is analyzed one by one to obtain the maintenance risk verification results, including:

[0120] By analyzing each maintenance equipment one by one, we can achieve refined management of the impact of maintenance activities;

[0121] Assess the risk of individual maintenance activities to grid stability and provide a basis for risk control;

[0122] Develop differentiated maintenance strategies and optimize resource allocation based on the correlation analysis results of maintenance equipment;

[0123] By identifying and analyzing maintenance-related sections, the adaptability and resilience of the power grid to maintenance activities can be improved.

[0124] It should be noted that for the same maintenance group with multiple maintenance equipment, it is necessary to conduct a correlation analysis of a single maintenance equipment, restore normal power supply to these maintenance equipment one by one, and then calculate the correlation analysis of the remaining maintenance equipment. The result of this correlation analysis is compared with the correlation analysis results of all maintenance equipment, and the difference is given. The difference is the maintenance correlation result of a single maintenance equipment.

[0125] In some embodiments, step S6 (analyzing the maintenance relevance of individual maintenance equipment and out-of-limit equipment one by one based on the acquired maintenance plan to obtain a maintenance risk verification result) includes:

[0126] Restore normal power supply to each of the repaired equipment one by one and repeat the calculations of S4 and S5;

[0127] Taking the maintenance plan (HC line, MYY line, NYE line) of this example as an example, the correlation between the MYY line and the over-limit section is analyzed. The maintenance over-limit sections of the HC line and the NYE line are calculated through static safety verification, as shown in the following table:

[0128] Table 3: Example of over-limit sections related to maintenance of HC line and NYE line:

[0129]

[0130]

[0131] Compare the results of this correlation analysis with the results of the correlation analysis of all maintenance equipment and give the differences;

[0132] The maintenance plan of this example (HC line, NYE line) is compared with the maintenance plan of the full maintenance group (HC line, MYY line, NYE line) (Tables 2 and 3), and the correlation analysis results of the remaining single equipment maintenance of MYY line are given.

[0133] Table 4: Example of cross-limit sections related to maintenance on MYY line:

[0134]

[0135] In summary, a method for checking power grid risk based on correlation analysis has the beneficial effect of being able to effectively analyze the maintenance plan that causes power grid risk according to the load rate and transfer ratio, and realize the refined management of power grid maintenance. First, the present invention can perform flow and static safety analysis on the base state of the power grid without maintenance, and give the load rate of different equipment and the transfer ratio for the faulty equipment; then, the maintenance plan is written into the base state file one by one according to the time group, and then a static safety analysis is performed, and a correlation analysis is performed with the results of the base state, and the over-limit sections with large changes in load rate and transfer ratio are given, and it is believed that these section risks are caused by the maintenance group; finally, the maintenance phases in the maintenance group are restored one by one, and then a static safety analysis is performed, and the results given are correlated with the results of the maintenance group, and the section risks caused by a single maintenance device are given, thereby realizing the section risk analysis caused by the maintenance group and the single maintenance item, which can effectively guide the intelligent arrangement of the maintenance plan.

[0136] Example 2

[0137] This embodiment provides a power grid risk verification method system based on correlation analysis, which includes a construction module for constructing a power grid framework model, which is the core of the power grid risk verification;

[0138] The processing module processes the power grid operation data by building a power grid model;

[0139] A generation module is used to further input the fusion feature map generated by the processing module into the data processing subunit;

[0140] The analysis module is used to analyze the enhanced grid status image, identify maintenance-related sections, compare the grid status before and after maintenance, and evaluate the impact of maintenance on grid stability;

[0141] The optimization module is used to analyze the results and improve the grid configuration or enhance the fault tolerance of the grid.

[0142] The above-mentioned unit modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0143] Example 3

[0144] This embodiment provides a computer device, which may be a terminal, and its internal structure diagram may be as follows: Figure 2As shown. The computer device includes a processor, memory, communication interface, display screen and input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a power grid risk verification method based on correlation analysis is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0145] This embodiment further provides a storage medium of the present invention, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided in the various embodiments described above.

[0146] Among them, the storage medium can be a computer storage medium or a communication medium. Communication media include any medium that facilitates the transmission of computer programs from one place to another. Computer storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, the storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist as discrete components in a communication device. The storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0147] The present invention also provides a program product, which includes execution instructions stored in a storage medium. At least one processor of a device can read the execution instructions from the storage medium, and at least one processor executes the execution instructions so that the device implements the methods provided in the various embodiments described above.

[0148] In the above-mentioned terminal or server embodiments, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0149] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power grid risk verification method based on correlation analysis, characterized by: include, Obtaining the grid operation mode, and using the grid frame in the grid operation mode as a model, and the operation state as a measurement; The initial operation mode is defined as the base state operation mode, and the base state operation mode is statically checked for safety, and the section and its load rate and transfer ratio are calculated; Obtain the maintenance plan for power grid equipment, match the maintenance equipment with the power grid model, and update the maintenance equipment status to the power grid operation mode to generate a new maintenance operation mode; Conduct static safety checks on the newly generated maintenance operation mode, calculate the over-limit section and its load rate and transfer ratio; Analyze the cross-limit sections with the same cross-section composition between the maintenance operation mode and the base state operation mode. If any change in the load rate and transfer ratio meets the requirements, the cross-limit section related to maintenance is obtained. Based on the acquired maintenance plan, the maintenance correlation between individual maintenance equipment and out-of-limit equipment is analyzed one by one to obtain the maintenance risk verification results; The obtaining of the grid operation mode and taking the grid frame in the grid operation mode as a model, the operation state is measured and includes: Parsing grid mode files; Obtain models and measurements in the power grid; Perform topological analysis on power grid models and measurements, including power flow calculations and static safety checks; The initial operation mode is defined as the base state operation mode, the base state operation mode is statically checked for safety, and the cross-section and its load rate and transfer ratio are calculated, including: Simulate grid operation through power flow calculations and optimize the grid through power generation corrections; By defining fault sets and performing static safety checks, we can predict the response of the power grid under different fault conditions and evaluate its safety. Analyze and calculate the load conditions of the power grid section and the power flow transfer ratio after the fault.

2. The power grid risk verification method based on correlation analysis according to claim 1, characterized in that: The method of obtaining a maintenance plan for power grid equipment, matching the maintenance equipment with the power grid model, and updating the maintenance equipment status to the power grid operation mode to generate a new maintenance operation mode includes: Obtain maintenance plans for power grid equipment, including merging and writing operations, to achieve orderly management of maintenance activities; By adjusting the equipment connection relationship in the base state file, the actual state of the power grid during maintenance is simulated; Assess and troubleshoot potential impacts on grid stability and security; By updating the grid status, data is provided for optimized operation and risk prevention of the grid.

3. The power grid risk verification method based on correlation analysis according to claim 2, characterized in that: The static safety check of the newly generated maintenance operation mode and the calculation of the over-limit section and its load rate and transfer ratio include: Evaluate the specific impact of maintenance on grid stability through power flow calculation and static safety verification; Identify potential risk points in the power grid by calculating section load rate and power flow transfer ratio; By applying safety standard limits, ensure that the operation of the power grid during maintenance does not exceed the safety threshold; Optimize the grid's response to faults by analyzing power flow transfer ratios.

4. The power grid risk verification method based on correlation analysis according to any one of claims 1 to 3, characterized in that: The above analysis of the cross-limit section with the same cross-limit composition as the base state operation mode is performed. If any change in the load rate and the transfer ratio meets the requirements, the cross-limit section related to maintenance is obtained, including: By quantifying the impact of maintenance on the grid section load rate and power flow transfer ratio, and evaluating the specific impact of maintenance on grid stability; By setting a dead zone for changes, sections where maintenance may lead to increased risks can be identified; Formulate preventive maintenance strategies through analysis of maintenance-related sections.

5. The power grid risk verification method based on correlation analysis according to claim 4, characterized in that: Based on the maintenance plan obtained, the maintenance correlation between individual maintenance equipment and over-limit equipment is analyzed one by one to obtain the maintenance risk verification results, including By analyzing each maintenance equipment one by one, we can achieve refined management of the impact of maintenance activities; Assess the risk of individual maintenance activities to grid stability and provide a basis for risk control; Develop differentiated maintenance strategies and optimize resource allocation based on the correlation analysis results of maintenance equipment; By identifying and analyzing maintenance-related sections, the adaptability and resilience of the power grid to maintenance activities can be improved.

6. A power grid risk verification method system based on correlation analysis, applying the method according to any one of claims 1 to 5, characterized in that: include: The construction module is used to build the power grid model, which is the core of the power grid risk verification; The processing module processes the power grid operation data by building a power grid model; A generation module is used to further input the fusion feature map generated by the processing module into the data processing subunit; The analysis module is used to analyze the enhanced grid status image, identify maintenance-related sections, compare the grid status before and after maintenance, and evaluate the impact of maintenance on grid stability; The optimization module is used to analyze the results and improve the grid configuration or enhance the grid's fault tolerance.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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