Power grid risk checking method and system based on correlation analysis

Abstract

The invention relates to the technical field of data processing, in particular to a power grid risk checking method and system based on correlation analysis, and the method comprises the steps: obtaining a power grid operation mode, taking a power grid rack in the power grid operation mode as a model, and taking an operation state as measurement; defining the initial operation mode as a ground state mode, performing static safety check on the ground state mode, and calculating a section and a load rate and a transfer ratio thereof; and obtaining a power grid equipment maintenance plan, matching the maintenance equipment with the power grid frame model, updating the state of the maintenance equipment to the power grid operation mode, and generating a new maintenance operation mode. The method has the beneficial effects 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 high control of the future operation condition of the power grid is realized, 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] At present, with the rapid development of social economy and the increasing demand for electricity in human production and life, the operation and management of power grids have become more and more complicated. The basic grid of the power grid can often withstand various risks through various calculations. However, as the scale of the power grid becomes larger and larger, the maintenance work becomes more and more busy. At present, the verification of maintenance plans relies on manual verification, and a large number of manual calculations are required to give the final impact range. In various extreme methods or emergency power outages, it is impossible to quickly give the sections affected by the maintenance and the quantitative data of the impact, which makes it difficult to help personnel quickly give maintenance changes or related maintenance measures or plan preparation. Summary of the invention

[0003] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot 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 checking power grid risk based on correlation analysis, including obtaining a power grid operation mode, and using a power grid frame in the power grid operation mode as a model, and an operation state as a measurement;

[0008] The initial operation mode is defined as the base mode, and the base mode is statically checked for safety, and the section and its load rate and transfer ratio are calculated;

[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 check 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 in 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 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 result.

[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 and includes:

[0014] Parse the grid mode file;

[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, the response of the power grid under different fault conditions can be predicted and safety can be evaluated;

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

[0021] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the acquisition of the power grid equipment maintenance plan, matching the maintenance equipment with the power grid 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 merge and write 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 solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the static safety verification of the newly generated maintenance operation mode, the calculation of the over-limit section and its load rate and transfer ratio includes:

[0027] Evaluate the specific impact of maintenance on grid stability through power flow calculation and static safety verification;

[0028] Identify potential risk points in the power grid by calculating section load rate and power flow transfer ratio;

[0029] By applying safety standard limits, ensure that the operation of the power grid during maintenance does not exceed the safety threshold;

[0030] Optimize the grid's response to faults by analyzing the power flow transfer ratio.

[0031] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: the cross-limit section of the analysis of the maintenance operation mode and the base state operation mode having the same cross-limit section composition, if any change in its load rate and transfer ratio meets the requirements, the maintenance-related cross-limit section is obtained, including:

[0032] By quantifying the impact of maintenance on the load factor and power flow transfer ratio of the power grid section, and evaluating the specific impact of maintenance on the stability of the power grid;

[0033] By setting the change dead zone, the sections where maintenance may lead to increased risks can be identified;

[0034] Formulate preventive maintenance strategies through analysis of maintenance-related sections.

[0035] As a preferred solution of the power grid risk verification method based on correlation analysis of the present invention, wherein: based on the obtained maintenance plan, the maintenance correlation between a single maintenance equipment and an over-limit equipment is analyzed one by one to obtain a maintenance risk verification result, including

[0036] By analyzing the maintenance equipment one by one, the impact of maintenance activities can be managed in a refined manner;

[0037] Assess the risk of a single maintenance activity to grid stability and provide a basis for risk control;

[0038] Develop differentiated maintenance strategies and optimize resource allocation based on the correlation analysis results of maintenance equipment;

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

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

[0041] The processing module processes the grid operation data by building a grid model;

[0042] A generating module, used for further inputting the fused feature map generated by the processing module into the data processing subunit;

[0043] The analysis module is used to analyze the enhanced grid status image, identify the maintenance-related sections, compare the grid status before and after the maintenance, and evaluate the impact of the maintenance on the grid stability;

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

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

[0046] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when the computer program is executed by a processor.

[0047] Compared with the prior art, the beneficial effects of the present invention are as follows: the maintenance plan that causes power grid risks can be effectively analyzed according to the load rate and transfer ratio, the relationship between risk and maintenance can be inferred through correlation analysis, a high degree of control over the future operation of the power grid can be achieved, the intelligent arrangement of the maintenance plan can be effectively guided, and refined management of power grid maintenance can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0049] Figure 1 This is a flowchart of the power grid risk verification method based on correlation analysis.

[0050] Figure 2 A schematic diagram of the internal structure of a computer device. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

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

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

[0054] Example 1

[0055] Reference Figure 1 , which is the first embodiment of the present invention, and 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] Further, 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] Parse the grid mode file;

[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 states 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, so as 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 taking 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 (the format is *.xml for model files, and the format is *.dt for measurement files) in the SCADA system. The model and measurement files are parsed in the specified format to complete the acquisition of 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 operation 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, the response of the power grid under different fault conditions can be predicted and safety can be evaluated;

[0068] Analyze and calculate the load conditions of the power grid section and the power flow transfer ratio after a 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, 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 operation 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, the *.dat file is subjected to flow calculation. If the flow calculation result is inconsistent with the ideal state, the power generation of the unit is adjusted to make the flow calculation result consistent with the ideal state.

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

[0073] Then, static safety analysis is performed based on the fault set. Static safety analysis is to disconnect all the components or component groups involved in the fault set one by one. During the disconnection process, if it is a bus, all the components connected to the bus need to be transferred to the corresponding bus through the switch topology to supply power. At the same time, if there is an automatic device, after disconnecting the component, the action of the automatic device is simulated, and the corresponding component is closed to achieve the effect of not losing load.

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

[0075] Load rate: equipment active power / equipment current carrying capacity. (The equipment current carrying capacity in the base state flow is the long-term current carrying capacity, and the equipment current carrying capacity after static safety analysis is the 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 expected failure.

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

[0078] S3. 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.

[0079] Further, 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 merge and write 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 maintenance plan of power grid equipment is obtained from the power grid's power outage management system, and the maintenance plan includes information such as maintenance equipment, maintenance start time, and maintenance end time; the maintenance plans are extracted one by one, and the maintenance plans with the same date are merged into the same maintenance group, and then the maintenance plans in the same maintenance group are written into the base state file one by one. For the out-of-service equipment, the connection relationship of the component is disconnected from the base state file; for the equipment that is put back into operation, the connection relationship of the component is reconnected from the base state file; for the equipment with a changed mode, the connection relationship of the component is changed from the original connection to the new connection from the base state file. After the same maintenance group is written into the same base state file, a new maintenance operation mode for the maintenance group is formed.

[0085] In some embodiments, the specific implementation of step S3 (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:

[0086] Take the maintenance plan for 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 is understandable that the maintenance plan will eventually form 4 maintenance groups. The first maintenance group is the 220kVHC line maintenance on 2023-06-03, the second maintenance group is the 500kVNYE line + 500kVMYY line + 220kVHC line maintenance on 2023-06-04, the third maintenance group is the 500kVNYE line + 500kVMYY line maintenance on 2023-06-05, and the fourth maintenance group is the 500kVMYY line maintenance on 2023-06-06.

[0089] Write the maintenance group to the base state file.

[0090] For the base state file (*.dat), when the first maintenance group is written, the status of the 220kVHC line is set to divided, when the second maintenance group is written, the status of the 220kVHC line, 500kVNYE line and 500kVMYY line is set to divided, when the third maintenance group is written, the status of the 500kVNYE line and 500kVMYY line is set to divided, and when the fourth maintenance group is written, the status of the 500kVMYY line is set to divided.

[0091] S4. Perform static safety check on the newly generated maintenance operation mode and calculate the over-limit section and its load rate and transfer ratio.

[0092] Furthermore, the newly generated maintenance operation mode is statically checked for safety, and the cross-limit section and its load rate and transfer ratio are calculated, including:

[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 the power flow transfer ratio.

[0097] It should be noted that the base state flow calculation is performed for the newly generated maintenance operation mode one by one, 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 that is 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 over-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, set the filter for over-limit risk information based on the calculation conditions, and filter out the affected devices based on the load rate threshold and the 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 in the maintenance operation mode and the base 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 in 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 load factor and power flow transfer ratio of the power grid section, and evaluating the specific impact of maintenance on the stability of the power grid;

[0107] By setting the change dead zone, the 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 of the base state file, and a certain change dead zone is set. If the change exceeds the change dead zone, it is considered to be a maintenance-related section. The power flow transfer ratio between the faulty component and other components of the over-limit section is compared with the transfer ratio between the same components in the base state file, and a certain change dead zone is set. If the change exceeds the change dead zone, it is considered to be a maintenance-related section.

[0110] In some embodiments, the specific implementation of step S5 (analyzing the cross-limit sections with the same cross-section composition of the maintenance operation mode and the base 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 the affected equipment and sections based on the changes in the load rate threshold and transfer ratio threshold.

[0113] The maintenance over-limit sections obtained through static safety verification calculation based on the maintenance operation mode are compared with the base state sections one by one, 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 if 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 line, MYY line, NYE line) of this example as an example, the final output includes the expected fault equipment, affected equipment, active power flow, load factor, transfer ratio, etc., which are the following maintenance-related cross-limit sections:

[0115] Table 2: Example of cross-limit sections for maintenance of 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 result.

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

[0120] By analyzing the maintenance equipment one by one, the impact of maintenance activities can be managed in a refined manner;

[0121] Assess the risk of a single maintenance activity 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 perform a correlation analysis on 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 the single maintenance equipment.

[0125] In some embodiments, step S6 (based on the acquired maintenance plan, analyzing the maintenance correlation between the single maintenance equipment and the over-limit equipment one by one to obtain the maintenance risk verification result) includes:

[0126] Restore normal power supply to the maintenance 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, and 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 cross-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 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 the MYY line are given.

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

[0134]

[0135] In summary, the beneficial effect of a power grid risk verification method based on correlation analysis is that it can effectively analyze the maintenance plan that causes power grid risks 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 grid operation data by building a grid model;

[0139] A generating module, used for further inputting the fused 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 the maintenance-related sections, compare the grid status before and after the maintenance, and evaluate the impact of the maintenance on the 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 may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to 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, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, 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 the 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, and the wireless manner can be achieved through WIFI, an 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, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0145] This embodiment also 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 by the various embodiments described above.

[0146] Among them, the storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium 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 a component of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also exist in a communication device as discrete components. 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, and the like.

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

[0148] In the above-mentioned terminal or server embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A 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 rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power grid risk verification method based on correlation analysis, characterized in that: include, Obtaining the grid operation mode, and taking 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 mode, and the base 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 check 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 in 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 result.

2. The power grid risk verification method based on correlation analysis according to claim 1, characterized in that: 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: Parse the grid mode file; Obtain models and measurements in the power grid; Perform topological analysis on power grid models and measurements, including power flow calculation and static safety verification.

3. The power grid risk verification method based on correlation analysis according to claim 2, characterized in that: The initial operation mode is defined as the base state mode, the base state 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, the response of the power grid under different fault conditions can be predicted and safety can be evaluated; Analyze and calculate the load conditions of the power grid section and the power flow transfer ratio after a fault.

4. The power grid risk verification method based on correlation analysis according to claim 3 is characterized in that: The obtaining of the maintenance plan of the 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 merge and write 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.

5. The power grid risk verification method based on correlation analysis according to claim 4, 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 the power flow transfer ratio.

6. The power grid risk verification method based on correlation analysis according to any one of claims 1 to 5, characterized in that: The above analysis is to analyze the cross-limit sections with the same cross-section composition of the maintenance operation mode and the base state operation mode. If any change in the load rate and the transfer ratio meets the requirements, the cross-limit sections related to maintenance are obtained, including: By quantifying the impact of maintenance on the load factor and power flow transfer ratio of the power grid section, and evaluating the specific impact of maintenance on the stability of the power grid; By setting the change dead zone, the sections where maintenance may lead to increased risks can be identified; Formulate preventive maintenance strategies through analysis of maintenance-related sections.

7. The power grid risk verification method based on correlation analysis according to claim 6, characterized in that: Based on the obtained maintenance plan, 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 the maintenance equipment one by one, the impact of maintenance activities can be managed in a refined manner; Assess the risk of a single maintenance activity 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.

8. A power grid risk verification method system based on correlation analysis, characterized in that: include: The construction module is used to construct the power grid model, which is the core of the power grid risk verification; The processing module processes the grid operation data by building a grid model; A generating module, used for further inputting the fused 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 the maintenance-related sections, compare the grid status before and after the maintenance, and evaluate the impact of the maintenance on the grid stability; The optimization module is used to analyze the results and improve the grid configuration or enhance the fault tolerance of the grid.

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

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

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