Method and system for analyzing influence of maintenance equipment on effectiveness of protection function

Abstract

The invention provides a method and system for analyzing the influence of maintenance equipment on the effectiveness of a protection function, and relates to the technical field of power systems. A power grid simulation model is constructed, multi-factor dimension influence is considered, a correlation degree evaluation system is constructed, and a verification principle of simulation is set; mapping the power grid maintenance plan into a power grid simulation model, configuring various parameters of simulation operation according to a verification principle and the preprocessed static data of the power grid, and performing simulation operation according to preset parameters and scenes; extracting data items related to protection setting value function evaluation in the simulation result, calculating a deviation value between an actual value and a critical value according to a defined deviation degree, and judging a protection misoperation or rejection risk; and according to a weight distribution principle of each dimension in the association degree evaluation system, distributing weights for the multi-factor dimensions, calculating an association degree score of static data of power grid operation under each maintenance scheme, and quantitatively evaluating the influence of the maintenance scheme on the protection function.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power systems, and in particular to a method and system for analyzing the impact of maintenance equipment on the effectiveness of protection functions. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] As the power system becomes increasingly complex and large-scale, ensuring the safe and stable operation of the power grid has become a core concern of the power industry. As the first line of defense for power grid safety, the importance of relay protection is self-evident. When a power grid fault occurs, the relay protection function quickly and accurately isolates the fault point, prevents the fault from expanding, and ensures the safety of power grid equipment and personnel. Therefore, ensuring the correct configuration and reliable operation of relay protection devices is crucial to maintaining power grid stability and preventing large-scale power outages.

[0004] Setting calculation is a key step in relay protection configuration, and its accuracy directly affects the performance of the protection device and the safety and stability of the power grid. This process requires scientific calculation and setting of the protection device's setting value based on the actual current structure and operating status of the power grid and the foreseeable future operating mode.

[0005] However, the traditional setting calculation mode mainly relies on the annual operation plan. Although it can cover the normal operation status of the power grid, its limitations are gradually highlighted when facing the frequently changing daily and monthly maintenance operations. Since it is impossible to accurately foresee all possible maintenance methods and power grid construction conditions, the protection settings set by the traditional setting method are sometimes difficult to fully adapt to the actual needs of the power grid during the maintenance period, which may affect the reliability and selectivity of the protection device and bury hidden dangers for the safety of the power grid. In addition, in the planning and implementation of the power grid equipment maintenance plan, its potential impact on the relay protection system is often not fully considered. The maintenance work is essentially to improve the health status and operating efficiency of the power grid equipment, but if the maintenance plan is not properly formulated, especially if it fails to fully evaluate its impact on the coordination relationship between relay protection devices, it is very easy to cause the occurrence of protection misoperation or refusal to operate, which seriously threatens the safe and stable operation of the power grid. Summary of the invention

[0006] In order to solve the above problems, the present invention proposes an analysis method and system for the impact of maintenance equipment on the effectiveness of protection functions. By integrating the data resources of the setting calculation system, the OMS system and the constant value verification system, an evaluation system is constructed to simulate and realize a comprehensive and accurate evaluation of the effectiveness of the power grid protection function after the implementation of the maintenance plan, providing strong support for power grid dispatching and maintenance decision-making.

[0007] According to some embodiments, the present disclosure adopts the following technical solutions:

[0008] A method for analyzing the influence of maintenance equipment on the effectiveness of protection function, comprising:

[0009] Obtain static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid;

[0010] Construct a power grid simulation model, consider the impact of multiple factors, build a correlation evaluation system, set simulation verification principles, and define the degree of deviation;

[0011] Map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various simulation parameters according to the verification principle and the pre-processed static data of the power grid, and perform simulation according to the preset parameters and scenarios;

[0012] Extract the data items related to the protection setting function evaluation in the simulation results, calculate the deviation between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate;

[0013] According to the weight allocation principle of each dimension in the correlation evaluation system, weights are assigned to the multi-factor dimensions, the correlation scores of the static data of the power grid operation under each maintenance plan are calculated, and the impact of the maintenance plan on the protection function is quantitatively evaluated.

[0014] According to some embodiments, the present disclosure adopts the following technical solutions:

[0015] An analysis system for the effect of maintenance equipment on the effectiveness of protection functions, comprising:

[0016] A data acquisition module is used to acquire static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid;

[0017] Model building module, used to build power grid simulation model, consider the impact of multiple factors, build correlation evaluation system, set simulation verification principles and define deviation degree;

[0018] The simulation module is used to map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various parameters of the simulation operation according to the verification principle and the pre-processed static data of the power grid, and perform simulation operation according to the preset parameters and scenarios;

[0019] The evaluation module is used to extract data items related to the evaluation of the protection setting function in the simulation results, calculate the deviation value between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate; according to the weight allocation principle of each dimension in the correlation evaluation system, weights are allocated to multi-factor dimensions, and the correlation score of the static data of the power grid operation under each maintenance plan is calculated to quantitatively evaluate the impact of the maintenance plan on the protection function.

[0020] According to some embodiments, the present disclosure adopts the following technical solutions:

[0021] A non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, a method for analyzing the influence of maintenance equipment on the effectiveness of a protection function is implemented.

[0022] According to some embodiments, the present disclosure adopts the following technical solutions:

[0023] An electronic device comprises: a processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device executes the analysis method of the influence of maintenance equipment on the effectiveness of protection function.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention discloses an analysis method for the influence of maintenance equipment on the effectiveness of protection functions. By constructing an accurate power grid simulation model and using simulation technology to simulate the operation of the power grid under different maintenance schemes, a comprehensive evaluation of the protection setting function is achieved. By setting detailed verification principles, the degree of deviation between the actual value and the critical value is calculated, and the correlation ranking calculation is performed accordingly to quantitatively evaluate the influence of the maintenance scheme on the protection function. The present invention can help power grid dispatchers and maintenance personnel to formulate maintenance strategies more scientifically and effectively improve the overall safety level of the power grid.

[0026] The present invention discloses an analysis method for the influence of maintenance equipment on the effectiveness of protection function. According to the weight allocation principle of each dimension in the correlation evaluation system, reasonable weights are allocated to the dimensions such as deviation degree, maintenance time, and equipment importance, ensuring that the weight allocation can objectively reflect the importance of each dimension on the protection function. The evaluation results of each dimension are comprehensively evaluated by using the weighted summation mathematical method, and the correlation score of each maintenance plan is calculated according to the comprehensive evaluation result. According to the correlation score, multiple maintenance plans are sorted to generate a correlation ranking list. The intuitive display of the influence of each maintenance plan on the protection function provides decision support for power grid dispatching and maintenance personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure.

[0028] Figure 1 The present invention is a flowchart of an implementation method of an analysis method of the influence of maintenance equipment on the effectiveness of protection functions according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present disclosure is further described below in conjunction with the accompanying drawings and embodiments.

[0030] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.

[0031] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0032] Example 1

[0033] The present invention discloses an analysis method for the influence of maintenance equipment on the effectiveness of protection function, which integrates a setting calculation system, a dispatching management system (OMS) and a fixed value verification system, and is used to evaluate the influence of the implementation of a power grid equipment maintenance plan on the effectiveness of power grid protection function. The steps are as follows:

[0034] Step 1: Obtain static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid;

[0035] Step 2: Build a power grid simulation model, consider the impact of multiple factors, build a correlation evaluation system, set the simulation verification principles, and define the degree of deviation;

[0036] Step 3: Map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various parameters for simulation operation according to the verification principle and the pre-processed static data of the power grid, and perform simulation operation according to the preset parameters and scenarios;

[0037] Step 4: Extract the data items related to the protection setting function evaluation in the simulation results, calculate the deviation between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate;

[0038] Step 5: According to the weight allocation principle of each dimension in the correlation evaluation system, weights are assigned to the multi-factor dimensions, the correlation scores of the static data of the power grid operation under each maintenance plan are calculated, and the impact of the maintenance plan on the protection function is quantitatively evaluated.

[0039] As an embodiment, the specific implementation process of the method for analyzing the influence of maintenance equipment on the effectiveness of protection function disclosed in the present invention is as follows:

[0040] Step 1: Data acquisition and preprocessing

[0041] Specifically, 1) Data source integration: Establish a real-time interface with the setting calculation system to regularly obtain the latest static data of the power grid provided by it, including the topological structure of the power grid, detailed parameters of each device, protection device settings, etc. At the same time, establish a real-time data interface with the dispatching management system (OMS) to regularly synchronize the latest daily and monthly maintenance plan information.

[0042] 2) Preprocessing: The acquired data is subjected to a rigorous data cleaning process, including removing duplicate data, correcting erroneous data, filling in missing data, etc., to ensure the accuracy and completeness of the data. Subsequently, data verification is performed to ensure the logical consistency and structural rationality of the data, laying the foundation for subsequent modeling and analysis.

[0043] Step 2: Build a power grid simulation model, consider the impact of multiple factors, build a correlation evaluation system, set the simulation verification principles, and define the degree of deviation;

[0044] Specifically, 1) construct a power grid simulation model:

[0045] In the relay protection setting value verification system, a high-precision power grid simulation model is constructed using cleaned and verified data. The power grid simulation model graphically expresses the power stations and lines in the power grid and their topological connection relationships, the primary equipment in the station and their connection relationships, and the protection devices associated with the primary equipment; displays the parameters of the primary equipment through the primary equipment parameter page, and displays the protection parameters through the protection parameter page; displays the relevant protection setting values ​​through the protection-related setting value single page; and automatically obtains the power grid model data from the setting calculation system through the interface to complete the construction of the relevant model. The model should be able to accurately reflect the actual operation of the power grid, including the connection relationship between equipment, the configuration and setting value setting of the protection device, the operating status of the circuit breaker knife switch, etc. At the same time, the model has the ability to dynamically update, and can be adjusted in time when the power grid structure, equipment parameters, protection setting values, and maintenance plans are changed through the interface with the setting calculation system and the OMS system.

[0046] 3) Constructing a correlation evaluation system:

[0047] Construct a comprehensive correlation evaluation system, taking into account the impact of multiple dimensions such as deviation degree, maintenance duration, equipment importance, grid structure changes, etc. Set reasonable weights for each dimension to ensure that the correlation calculation can fully reflect the impact of the maintenance plan on the protection function.

[0048] Among them, the relevance score S can be calculated by the following weighted sum formula:

[0049]

[0050] Where n is the number of evaluation dimensions, W i is the weight of the i-th dimension (deviation degree 0.4, maintenance time 0.1, equipment importance 0.4, grid structure change 0.1), P i is the score of the i-th dimension.

[0051] Dimension 1: Deviation degree. Refers to the degree of deviation between the selectivity, sensitivity and critical value of the protection setting of other nearby equipment after the equipment is overhauled. Deviation less than 5% is 0 points; deviation 5-15% is 30 points; deviation 15-25% is 60 points; deviation greater than 25% is 100 points.

[0052] Dimension 2: Maintenance duration. Refers to the planned maintenance time of the equipment. If the maintenance time is no more than 3 days, it is 20 points; if the maintenance time is 3 to 10 days, it is 40 points; if the maintenance time is 10 to 30 days, it is 80 points; if the maintenance time is more than 30 days, it is 100 points.

[0053] Dimension 3: Equipment importance. For maintenance of primary equipment of power grids of 110 kV and above, 100 points; for maintenance of primary equipment of power grids below 110 kV, 80 points; for maintenance of non-primary equipment of 110 kV and above, 40 points; for maintenance of non-primary equipment of power grids below 110 kV, 0 points.

[0054] Dimension 4: Changes in the power grid structure refers to the construction, reconstruction, or expansion of primary power grid equipment near the maintenance equipment during the maintenance period. If there is a structural change in the 110kV and above power grid, 100 points; if there is a structural change in the power grid below 110kV, 50 points; if there is no structural change, 0 points.

[0055] 4) Verification principles and standard configuration

[0056] Verification principle configuration: According to the logical judgment and setting principle of various protection devices in the power grid, the action conditions and protection range of the protection device are clarified. The action condition refers to the electrical quantities such as current, voltage, and measured impedance measured at the protection installation location and the action delay time set by the protection setting value when a fault occurs somewhere in the power grid. For excessive electrical quantities, if the measured value is greater than the protection setting value, the protection will be activated after the delay condition is met. For under-electrical quantities, if the measured value is less than the protection setting value, the protection will be activated after the delay condition is met. The so-called protection range means that the protection can be activated when there is a fault at any position within this range.

[0057] According to the characteristics, setting values, and actual operation of the power grid of the protection device, detailed verification principles are formulated to ensure that the verification process can accurately reflect the actual operation status of the protection device. The verification principles are divided into sensitivity verification and selectivity verification. Sensitivity verification is used to verify whether the fault protection at any position within the protection range can operate reliably, and is expressed by the sensitivity coefficient, where the sensitivity coefficient of over-protection = setting value / fault quantity, and the sensitivity coefficient of under-protection = fault quantity / protection setting value. The larger the sensitivity coefficient, the better, and it cannot be less than 1.0; Selective verification is used to verify whether the protection setting value meets the coordination requirements with the adjacent protection setting value to ensure that the protection does not operate incorrectly, and is expressed by the coordination coefficient, where the coordination coefficient of over-protection = current protection setting value / (branch coefficient × adjacent protection setting value), and the coordination coefficient must not be less than 1.0; the coordination coefficient of under-protection = current protection setting value / (auxiliary increase coefficient × adjacent protection setting value), and the coordination coefficient must not be greater than 1.0.

[0058] Definition of deviation degree: clarify the judgment criteria for protection misoperation and refusal to operate, and formulate a calculation method for the deviation degree between the actual value and the critical value. The deviation degree can be quantified in various forms such as percentage deviation and absolute value difference, so as to facilitate subsequent numerical analysis and comparison. The calculation formula is as follows:

[0059]

[0060] Step 3: Map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various parameters for simulation operation according to the verification principle and the pre-processed static data of the power grid, and perform simulation operation according to the preset parameters and scenarios;

[0061] Specifically, 1) maintenance plan mapping: mapping the maintenance plan in the OMS system to the power grid simulation model of the constant value verification system, and setting the corresponding power outage of the primary equipment of the power grid according to the specific content of the maintenance plan.

[0062] 2) Simulation parameter configuration: According to the verification principles and standards and the actual static data of the power grid, configure the various parameters of the simulation operation. This includes simulation duration, load changes, fault type and location, etc. Ensure that the simulation process can truly reflect the actual operating status of the power grid during the maintenance period.

[0063] 3) Simulation execution and recording: Start the simulation program, and perform simulation according to the preset simulation parameters and the current grid operation mode superimposed with the future maintenance power outage equipment mode. During the simulation process, key parameters such as the action status, time, current, and voltage of the protection device are recorded in real time. At the same time, abnormal conditions and abnormal data during the simulation process are recorded for subsequent analysis.

[0064] Step 4: Extract the data items related to the protection setting function evaluation in the simulation results, calculate the deviation between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate;

[0065] Specifically, 1) Data extraction: Extract data items related to the protection setting function evaluation from the simulation results, including the action setting value, action time, action current, action voltage, action measurement impedance, etc. of the protection device. Ensure that the extracted data is consistent with the verification principles and standards.

[0066] 2) Deviation calculation: Calculate the deviation between the actual value and the critical value according to the defined deviation degree calculation method. Perform numerical analysis on the calculation results to determine whether the maintenance plan will increase the risk of protection misoperation or refusal to operate.

[0067] Step 5: According to the weight allocation principle of each dimension in the correlation evaluation system, weights are assigned to the multi-factor dimensions, the correlation scores of the static data of the power grid operation under each maintenance plan are calculated, and the impact of the maintenance plan on the protection function is quantitatively evaluated.

[0068] Specifically, 1) Weight allocation: According to the weight allocation principle of each dimension in the correlation evaluation system, reasonable weights are allocated to the dimensions such as deviation degree, maintenance time, and equipment importance. Ensure that the weight allocation can objectively reflect the importance of each dimension on the protection function.

[0069] 2) Comprehensive evaluation: Use weighted summation and other mathematical methods to comprehensively evaluate the evaluation results of each dimension. Calculate the relevance score of each maintenance plan based on the comprehensive evaluation results. The higher the relevance score, the greater the impact of the maintenance plan on the protection function.

[0070] 3) Ranking generation: Sort multiple maintenance plans according to the correlation scores to generate a correlation ranking list. The ranking list can intuitively show the impact of each maintenance plan on the protection function and provide decision support for power grid dispatching and maintenance personnel.

[0071] Step 6: Result output and report generation

[0072] Specifically, 1) Visual display: The simulation analysis results, deviation degree calculation results and correlation rankings are visualized in the form of charts, graphs, etc. Ensure that the displayed results are intuitive and easy to understand and analyze by relevant personnel.

[0073] 2) Detailed report: Write a detailed evaluation report including an overview of the maintenance plan, simulation analysis process, deviation calculation result analysis, correlation ranking and optimization suggestions, etc. The report should clearly indicate which maintenance plans may have a greater impact on the protection function and put forward corresponding improvement measures and suggestions to guide subsequent maintenance work.

[0074] Example 2

[0075] In one embodiment of the present disclosure, a system for analyzing the influence of maintenance equipment on the effectiveness of protection functions is provided, comprising:

[0076] A data acquisition module is used to acquire static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid;

[0077] Model building module, used to build power grid simulation model, consider the impact of multiple factors, build correlation evaluation system, set simulation verification principles and define deviation degree;

[0078] The simulation module is used to map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various parameters of the simulation operation according to the verification principle and the pre-processed static data of the power grid, and perform simulation operation according to the preset parameters and scenarios;

[0079] The evaluation module is used to extract data items related to the evaluation of the protection setting function in the simulation results, calculate the deviation value between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate; according to the weight allocation principle of each dimension in the correlation evaluation system, weights are allocated to multi-factor dimensions, and the correlation score of the static data of the power grid operation under each maintenance plan is calculated to quantitatively evaluate the impact of the maintenance plan on the protection function.

[0080] Example 3

[0081] In one embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, a method for analyzing the impact of maintenance equipment on the effectiveness of a protection function is implemented.

[0082] Example 4

[0083] In one embodiment of the present disclosure, an electronic device is provided, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the analysis method of the influence of maintenance equipment on the effectiveness of protection function.

[0084] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0086] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A method for analyzing the influence of maintenance equipment on the effectiveness of protection function, characterized in that: include: Obtain static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid; Construct a power grid simulation model, consider the impact of multiple factors, build a correlation evaluation system, set simulation verification principles, and define the degree of deviation; Map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various simulation parameters according to the verification principle and the pre-processed static data of the power grid, and perform simulation according to the preset parameters and scenarios; Extract the data items related to the protection setting function evaluation in the simulation results, calculate the deviation between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate; According to the weight allocation principle of each dimension in the correlation evaluation system, weights are assigned to the multi-factor dimensions, the correlation scores of the static data of the power grid operation under each maintenance plan are calculated, and the impact of the maintenance plan on the protection function is quantitatively evaluated.

2. A method for analyzing the influence of maintenance equipment on the effectiveness of protection function as claimed in claim 1, characterized in that: Obtain the static data of the power grid and synchronize the latest power grid maintenance plan, including: establishing a real-time interface with the setting calculation system, regularly extracting the static data of the power grid operation provided by the setting calculation system, including the topological structure of the power grid, detailed parameters of each equipment and protection device settings, and establishing a real-time data interface with the dispatching management system OMS to regularly synchronize the maintenance daily plan and monthly plan information.

3. The method for analyzing the influence of maintenance equipment on the effectiveness of protection function according to claim 1, characterized in that: The acquired static data of the power grid is preprocessed, including: performing a data cleaning process on the acquired static data of the power grid, including removing duplicate data, correcting erroneous data, and filling in missing data, and then performing data verification to ensure the logical consistency and structural rationality of the data.

4. The method for analyzing the influence of maintenance equipment on the effectiveness of protection function according to claim 1, characterized in that: A power grid simulation model is constructed, which outputs the operation status of the power grid, including the connection relationship between equipment, the configuration and setting of protection devices, and the operating status of circuit breaker switches. The power grid simulation model has a dynamic update function and is adjusted when the power grid structure, equipment parameters, protection settings, and maintenance plans change.

5. The method for analyzing the influence of maintenance equipment on the effectiveness of protection function according to claim 1, characterized in that: Comprehensively consider the impact of multiple factors such as deviation degree, maintenance time, equipment importance, and grid structure changes, and build a correlation evaluation system; Set the verification principles of the simulation and define the degree of deviation, including: clarify the action conditions and protection range of the protection device according to the logical judgment criteria and setting principles of various protection devices in the power grid, and formulate verification principles according to the characteristics of the protection device, the setting, and the actual operation of the power grid; clarify the judgment criteria for false operation and refusal of protection, and formulate a calculation method for the degree of deviation between the actual value and the critical value. The degree of deviation is quantified in the form of percentage deviation, absolute value difference, etc.

6. The method for analyzing the influence of maintenance equipment on the effectiveness of protection function according to claim 1, characterized in that: According to the verification principles, standards and static data of power grid operation, configure various parameters of simulation operation, including simulation duration, load changes, fault type and location, start the simulation program, and perform simulation operation according to the preset parameters and scenarios. During the simulation process, the action status, time, current and voltage of the protection device are recorded in real time, and abnormal conditions and abnormal data during the simulation are recorded.

7. The method for analyzing the influence of maintenance equipment on the effectiveness of protection function according to claim 1, characterized in that: Data items related to the evaluation of the protection setting function are extracted from the simulation results, including the action setting, action time, action current, action voltage and action measurement impedance of the protection device. The deviation between the actual value and the critical value is calculated according to the defined deviation degree calculation method. The calculation results are numerically analyzed to determine whether the maintenance plan will lead to an increased risk of false operation or refusal of protection. The evaluation results of each dimension are comprehensively evaluated using the weighted summation mathematical method, and the correlation score of each maintenance plan is calculated based on the comprehensive evaluation results.

8. An analysis system for the effect of maintenance equipment on the effectiveness of protection functions, characterized in that: include: A data acquisition module is used to acquire static data of the power grid and synchronize the latest power grid maintenance plan, and pre-process the acquired static data of the power grid; Model building module, used to build power grid simulation model, consider the impact of multiple factors, build correlation evaluation system, set simulation verification principles and define deviation degree; The simulation module is used to map the power grid maintenance plan in the OMS system to the power grid simulation model, configure various parameters of the simulation operation according to the verification principle and the pre-processed static data of the power grid, and perform simulation operation according to the preset parameters and scenarios; The evaluation module is used to extract data items related to the evaluation of the protection setting function in the simulation results, calculate the deviation value between the actual value and the critical value according to the defined deviation degree, and judge the risk of protection misoperation or refusal to operate; according to the weight allocation principle of each dimension in the correlation evaluation system, weights are allocated to multi-factor dimensions, and the correlation score of the static data of the power grid operation under each maintenance plan is calculated to quantitatively evaluate the impact of the maintenance plan on the protection function.

9. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by the processor, a method for analyzing the impact of maintenance equipment on the effectiveness of a protection function as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device executes the analysis method of the influence of maintenance equipment on the effectiveness of protection function as described in any one of claims 1 to 7.

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