A power grid relocation system based on big data

Through the power grid relocation system based on big data, comprehensively analyzes the power grid relocation needs, evaluates the complexity of the power grid system, matches the relocation plan, and evaluates the construction progress and quality, the problem of insufficient depth and comprehensiveness of power grid data processing in the existing technology is solved, the efficiency and quality of relocation are improved, and the costs and risks are reduced.

CN118674159BActive Publication Date: 2025-04-18STATE GRID BEIJING ELECTRIC POWER CO +1
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Patent Information

Application Number
CN202410803607.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-20
Publication Date
2025-04-18
Estimated Expiration
2044-06-20

AI Technical Summary

Technical Problem

The existing technology has low depth and comprehensiveness in power grid data processing, and has failed to effectively evaluate power grid planning, resulting in increased construction costs and increased safety risks.

Method used

Design a power grid relocation system based on big data. Through the power grid relocation demand analysis module, structure determination module, plan matching module, construction evaluation module and quality determination module, comprehensively analyze the power grid relocation requirements, evaluate the complexity of the power grid system, match the relocation plan, evaluate the construction progress and quality, and ensure the adaptability of the relocation plan.

Benefits of technology

It improves the work efficiency and quality of power grid relocation, discovers and solves potential problems, provides comprehensive relocation guarantees, and reduces construction costs and safety risks.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention relates to the technical field of power grid relocation, and specifically discloses a power grid relocation system based on big data. The system analyzes a power grid relocation demand index and determines whether the power grid needs to be relocated by setting a power grid relocation demand analysis module, a power grid relocation structure determination module, a power grid relocation plan matching module, a power grid relocation construction evaluation module, a power grid relocation quality determination module and a power grid data station. If necessary, the system determines the complexity of the power grid system to which the power grid to be relocated belongs, and obtains a relocation execution plan of the power grid to be relocated by matching. According to the relocation execution plan of the power grid to be relocated, the construction execution index of the power grid to be relocated is evaluated. Finally, by evaluating the quality evaluation index of the relocated power grid, the quality of the relocated power grid is determined, which is conducive to more accurately grasping the detailed information of the power grid relocation, ensuring the adaptability of the power grid relocation plan, thereby improving the work efficiency and quality of the power grid relocation, thereby providing all-round guarantee for the power grid relocation.
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Description

Technical Field

[0001] The present invention relates to the technical field of power grid migration, and in particular to a power grid migration system based on big data. Background Art

[0002] With the rapid growth of electricity demand, the scale of the power grid system continues to expand, and its structure is becoming increasingly complex. In order to ensure the stable operation of the power grid system, the power grid migration work faces many challenges. Therefore, the present invention proposes a power grid migration system based on big data, which makes full use of big data technology to conduct comprehensive data collection, precise processing and in-depth analysis of the power grid migration work, realize the intelligent management of the power grid migration work, and provide strong guarantee for the quality and efficiency of the power grid migration.

[0003] For example, the patent application with publication number CN107133255A is a large power grid panoramic security defense method and system, which includes a physical layer, a transmission layer, a computing layer and a display layer; and the defense system integrates and transmits the collected periodic power grid data, and analyzes and stores the transmission data to perform data mining on the power grid data; based on the data mining of the power grid data, the processed power grid data is calculated using big data technology, and the data calculation results are displayed. The provided technical solution effectively improves the depth and breadth of intelligent mining of power spatiotemporal big data, and provides solid technical support for realizing active defense of the global energy Internet.

[0004] For example, the patent application with publication number CN107391520A is a smart distribution network planning and design auxiliary decision-making platform based on big data, including: an application layer, which has a data center, a prediction and analysis module, a project optimization module and a project management module service layer, and the service layer has a data exchange module, a data calculation module, a data analysis module, a data management module and an integrated service module; an offline layer, and the offline layer has a data mart layer, a data warehouse layer and a unified view area; the smart distribution network planning and design auxiliary decision-making platform based on big data can effectively collect a large amount of data through the setting of the offline layer, and the data can be effectively processed through the setting of the service layer, and the preferred project can be effectively established according to the data through the setting of the application layer, which effectively solves the problems of data difficulty, prediction difficulty, analysis difficulty and control difficulty.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: currently, in the process of processing power grid data, the data of the engine groups belonging to the power grid are usually directly analyzed, which makes the depth and comprehensiveness of the power grid data processing low, and there is no re-processing of the power grid system line length, etc.; at the same time, when analyzing the power grid planning, the power grid planning is not effectively evaluated. If the power grid planning is unreasonable, it will lead to an increase in the cost of subsequent construction operations, and at the same time increase the safety risk of the power grid, which is not conducive to maintaining the reliability of the power supply of the power grid. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a power grid migration system based on big data, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power grid relocation system based on big data, including a power grid relocation demand analysis module, which is used to obtain power grid operation parameters and analyze the power grid relocation demand index. If the power grid relocation demand index is greater than the power grid relocation demand threshold, the power grid is marked as a power grid to be relocated, and a power grid relocation structure determination module is executed. Otherwise, the power grid will not be relocated; the power grid relocation structure determination module is used to obtain the structure information of the power grid system to which the power grid to be relocated belongs, and determine the complexity of the power grid system to which the power grid to be relocated belongs; the power grid relocation plan matching module is used to match the power grid system to which the power grid to be relocated belongs according to the power grid to be relocated. The complexity of the power grid system to which the network belongs is matched to obtain the relocation execution plan of the power grid to be relocated; the power grid relocation construction evaluation module is used to obtain the construction progress information of the power grid to be relocated, and at the same time, evaluate the construction execution index of the power grid to be relocated according to the relocation execution plan of the power grid to be relocated; the power grid relocation quality judgment module is used to obtain the performance parameters of the relocated power grid, and at the same time, evaluate the quality evaluation index of the relocated power grid according to the construction execution index of the relocated power grid, thereby judging the quality of the relocated power grid; the power grid data station is used to store the relocation execution plan and quality evaluation threshold corresponding to each power grid system complexity interval.

[0008] As a further solution, the power grid relocation demand index has a specific analysis process as follows: obtaining the voltage limit value of the power grid, randomly arranging the set power grid analysis period as each power grid voltage analysis point according to the power grid operation parameters, extracting the voltage value of the power grid at each power grid voltage analysis point, comparing the voltage limit value with the voltage value at each power grid voltage analysis point, and counting and extracting the number of power grid voltage analysis points corresponding to the voltage value greater than the voltage limit value, marking it as the number of power grid voltage abnormality analysis points, and performing ratio processing on the number of power grid voltage abnormality analysis points and the total number of power grid voltage analysis points, thereby obtaining the power grid at the power grid analysis point. The voltage exceeding standard rate within the power grid cycle; according to the voltage value of the power grid at each power grid voltage analysis point, the number of power grid voltage analysis points corresponding to zero voltage value is extracted, and the ratio analysis is performed with the total number of power grid voltage analysis points, thereby obtaining the power supply continuity of the power grid within the power grid analysis cycle; according to the power grid operation parameters, the voltage signal change of the power grid within the power grid analysis cycle is extracted, and the voltage harmonic distortion rate of the power grid within the power grid analysis cycle is obtained through Fourier transform model processing; thereby, the voltage exceeding standard rate, power supply continuity and voltage harmonic distortion rate of the power grid within the power grid analysis cycle are comprehensively analyzed to obtain the power grid relocation demand index.

[0009] As a further solution, the complexity of the power grid system to which the power grid to be relocated belongs is specifically analyzed as follows: according to the structural information of the power grid system to which the power grid to be relocated belongs, the number of power stations and substations of the power grid system to which the power grid to be relocated belongs is extracted, and the nodes marked as the number of nodes of the power grid system to which the power grid to be relocated belongs are integrated; the high-voltage line distribution sub-areas, the medium-voltage line distribution sub-areas and the low-voltage line distribution sub-areas of the power grid system to which the power grid to be relocated belong are located through the geographic information system model, and the line length of each high-voltage line distribution sub-area, the line length of each medium-voltage line distribution sub-area and the line length of each low-voltage line distribution sub-area are obtained through distance measurement analysis, and the line length of each high-voltage line distribution sub-area, the line length of each medium-voltage line distribution sub-area and the line length of each low-voltage line distribution sub-area are respectively analyzed by mean, and finally the average length of the high-voltage line of the power grid system to which the power grid to be relocated belongs, the average length of the medium-voltage line of the power grid system to which the power grid to be relocated belongs and the average length of the low-voltage line of the power grid system to which the power grid to be relocated belongs are obtained; thus, the complexity of the power grid system to which the power grid to be relocated belongs is obtained through comprehensive analysis.

[0010] As a further solution, the matching obtains a relocation execution plan for the power grid to be relocated. The specific matching process is: matching the complexity of the power grid system to which the power grid to be relocated belongs with the relocation execution plan corresponding to each power grid system complexity interval stored in the power grid data station, thereby obtaining the relocation execution plan for the power grid to be relocated.

[0011] As a further solution, the construction execution index of the power grid to be relocated has a specific analysis process as follows: according to the construction progress Gantt chart of the power grid to be relocated, the start time point and the end time point of each key construction node of the power grid to be relocated are located and extracted, and the preset end time point of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and the difference processing is performed with the end time point of each key construction node of the power grid to be relocated to obtain the construction deviation time period of each key construction node of the power grid to be relocated, and the total time period of the construction progress deviation of the power grid to be relocated is obtained by integration; the start time point and the end time point of each key construction node of the power grid to be relocated are subjected to difference processing to obtain the construction time period of each key construction node of the power grid to be relocated, and at the same time, the preset time period of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and the ratio analysis is performed with the time period of each key construction node of the power grid to be relocated, so as to obtain the construction progress standard degree of each key node of the power grid to be relocated, and the average processing is performed to obtain the construction progress standard degree of the power grid to be relocated; the construction execution index of the power grid to be relocated is obtained by comprehensive analysis.

[0012] As a further solution, the quality evaluation index of the relocated power grid has a specific analysis process as follows: according to the voltage value of the relocated power grid within the set power grid inspection cycle, the voltage value of the relocated power grid at each power grid voltage inspection point is extracted, the voltage limit value is compared with the voltage value at each power grid voltage inspection point, and the power grid voltage inspection points corresponding to the voltage value less than the voltage limit value are counted and extracted, marked as the number of normal power grid voltage inspection points, and the number of normal power grid voltage inspection points is ratioed with the number of power grid voltage inspection points, thereby obtaining the voltage qualification rate of the relocated power grid within the power grid inspection cycle; the insulation voltage of the relocated power grid within the set power grid inspection cycle is compared with the voltage value at each power grid voltage inspection point. The resistance value is ratio-analyzed with the insulation resistance reference value to obtain the insulation resistance qualified rate of the relocated power grid within the power grid inspection cycle; according to the welding parameters of the relocated power grid within the set power grid inspection cycle, the number of welding joints of the relocated power grid and the scanned images of each welding joint are extracted, and the welding joint qualified rate of the relocated power grid within the power grid inspection cycle is evaluated by the neural network model; the voltage qualified rate, insulation resistance qualified rate and welding joint qualified rate of the relocated power grid within the power grid inspection cycle are averaged to obtain the construction qualified rate of the relocated power grid; at the same time, the construction execution index of the power grid to be relocated is comprehensively analyzed to obtain the quality evaluation index of the relocated power grid.

[0013] As a further solution, the quality of the relocated power grid is determined, and the specific analysis process is: comparing the quality evaluation index of the relocated power grid with the quality evaluation threshold stored in the power grid data station; if the quality evaluation index of the relocated power grid is less than the quality evaluation threshold, an early warning reminder is issued to the relocated power grid; if the quality evaluation index of the relocated power grid is equal to or greater than the quality evaluation threshold, feedback is provided on the quality of the relocated power grid.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0015] (1) The present invention provides a power grid migration system based on big data, analyzes the power grid migration demand index, determines whether the power grid needs to be migrated, and if necessary, determines the complexity of the power grid system to which the power grid to be migrated belongs, thereby matching and deriving a migration execution plan for the power grid to be migrated. According to the migration execution plan for the power grid to be migrated, by evaluating the quality evaluation index of the migrated power grid, it is helpful to more accurately grasp the detailed information of the power grid migration, ensure the adaptability of the power grid migration plan, thereby improving the work efficiency and quality of the power grid migration, and at the same time, it is helpful to discover and solve potential problems of the power grid migration, thereby providing all-round protection for the power grid migration.

[0016] (2) The present invention obtains a power grid relocation demand index by analyzing the voltage exceeding standard rate, power supply continuity and voltage harmonic distortion rate of the power grid during the power grid analysis period, which is helpful for power grid management personnel to understand the degree of demand for power grid relocation in real time, so as to make targeted plans for the power grid that needs to be relocated, thereby improving the work efficiency during power grid relocation.

[0017] (3) The present invention obtains the construction execution index of the power grid to be relocated by analyzing the total time period of construction progress deviation and the construction progress standard of the power grid to be relocated. It can timely discover the areas where the progress deviation of the power grid relocation is large during the construction process, and thus take corresponding measures to reduce the negative impact of construction delays or other risks on the quality of power grid relocation, ultimately reducing the additional cost of power grid relocation and reducing the loss of construction equipment corresponding to the power grid relocation, so as to improve the operating efficiency of the construction equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0019] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0020] Figure 2 It is a schematic diagram of a Gantt chart of the construction progress of the power grid to be relocated involved in the present invention.

[0021] Attached figure marks: 1. Start time point, 2. End time point. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a power grid migration system based on big data, including a power grid migration demand analysis module, a power grid migration structure determination module, a power grid migration plan matching module, a power grid migration construction evaluation module, a power grid migration quality determination module and a power grid data station.

[0024] The power grid relocation demand analysis module is connected to the power grid relocation structure determination module, the power grid relocation structure determination module is connected to the power grid relocation plan matching module, the power grid relocation plan matching module is respectively connected to the power grid relocation construction evaluation module and the power grid data station, the power grid relocation construction evaluation module is connected to the power grid relocation quality determination module, and the power grid relocation quality determination module is connected to the power grid data station.

[0025] The power grid data station is used to store the relocation execution plan and quality evaluation threshold corresponding to each power grid system complexity interval; in this embodiment, the data stored in the above-mentioned power grid data station will be adjusted according to the scale of power grid relocation, construction progress, and construction equipment.

[0026] The power grid relocation quality determination module is used to obtain the performance parameters of the relocated power grid, and at the same time, evaluate the quality evaluation index of the relocated power grid based on the construction execution index of the power grid to be relocated, thereby determining the quality of the relocated power grid; the above-mentioned relocated power grid refers to the power grid after the power grid to be relocated is relocated.

[0027] Specifically, the quality of the relocated power grid is determined, and the specific analysis process is: compare the quality evaluation index of the relocated power grid with the quality evaluation threshold stored in the power grid data station; if the quality evaluation index of the relocated power grid is less than the quality evaluation threshold, an early warning reminder is given to the relocated power grid; if the quality evaluation index of the relocated power grid is equal to or greater than the quality evaluation threshold, feedback is given on the quality of the relocated power grid; the above-mentioned quality evaluation threshold can be extracted from the standard regulations of the power industry; the above-mentioned early warning reminder for the relocated power grid indicates that the quality evaluation index of the relocated power grid is less than the quality evaluation threshold, and the feedback is given. It is reflected that the quality of the relocated power grid has not met the expected standards and requirements. It is necessary to pay comprehensive attention to and understand the construction quality of the relocated power grid through on-site inspections and expert reviews, so as to improve the quality problems of the relocated power grid. At the same time, it is necessary to optimize the power grid relocation construction process, strengthen the supervision of power grid relocation construction, and ensure the quality level of power grid relocation. If the quality evaluation index of the relocated power grid is greater than or equal to the quality evaluation threshold, it means that the quality of the relocated power grid has reached the expected level and there is no need for early warning. It is only necessary to provide feedback on the quality of the power grid relocation and feedback to the power grid data processing platform, which will serve as the data basis for subsequent power grid relocation.

[0028] Specifically, the performance parameters of the relocated power grid include the voltage value of the relocated power grid within the set power grid inspection cycle, the insulation resistance value of the relocated power grid within the set power grid inspection cycle, and the welding parameters of the relocated power grid within the set power grid inspection cycle; the above-mentioned power grid inspection cycle refers to the time period for inspecting the performance of the power grid. In a specific embodiment, the specific range of the power grid inspection cycle needs to be determined in combination with the actual environment of the relocated power grid.

[0029] Specifically, the quality evaluation index of the relocated power grid has a specific analysis process as follows: according to the voltage value of the relocated power grid within the set power grid inspection cycle, the voltage value of the relocated power grid at each power grid voltage inspection point is extracted, the voltage limit value is compared with the voltage value at each power grid voltage inspection point, and the power grid voltage inspection points corresponding to the voltage value less than the voltage limit value are counted and extracted, marked as the number of normal power grid voltage inspection points, and the number of normal power grid voltage inspection points is ratio-processed with the number of power grid voltage inspection points, thereby obtaining the voltage qualification rate of the relocated power grid within the power grid inspection cycle; the above-mentioned power grid voltage inspection points refer to the power grid voltage inspection cycle divided into the power grid voltage inspection points; the voltage value of the above-mentioned relocated power grid at each power grid voltage inspection point is measured by a voltage transformer at several points of the relocated power grid line at each power grid voltage inspection point, and the voltage value of the power grid at each power grid voltage inspection point is obtained by mean analysis.

[0030] Perform ratio analysis on the insulation resistance value of the relocated power grid within the set power grid inspection cycle and the insulation resistance reference value to obtain the insulation resistance pass rate of the relocated power grid within the power grid inspection cycle; the insulation resistance value of the relocated power grid within the set power grid inspection cycle refers to the resistance value of each insulation resistance belonging to the power grid measured by an insulation resistance tester within the power grid inspection cycle, and the insulation resistance value of the relocated power grid within the set power grid inspection cycle is obtained through mean analysis; the insulation resistance reference value refers to that extracted from the power grid industry standard.

[0031] According to the welding parameters of the relocated power grid within the set power grid inspection cycle, the number of welding joints belonging to the relocated power grid and the scanned images of each welding joint are extracted, and the qualified rate of welding joints of the relocated power grid within the power grid inspection cycle is evaluated by a neural network model; the voltage qualified rate, insulation resistance qualified rate and welding joint qualified rate of the relocated power grid within the power grid inspection cycle are averaged to obtain the construction qualified rate of the relocated power grid; the number of welding joints of the relocated power grid and the scanned images of each welding joint can be obtained through manual field survey, and the scanned images of each welding joint are obtained through non-destructive testing technology. The collected scanned image data of each welding joint are input into the neural network model, and the scanned images of each welding joint are automatically analyzed and evaluated to determine whether the scanned images of each welding joint meet the quality standards. This process can be achieved through image processing and feature extraction technology, thereby obtaining the qualified rate of welding joints of the power grid within the power grid inspection cycle.

[0032] At the same time, the construction execution index of the power grid to be relocated is comprehensively analyzed to obtain the quality evaluation index of the relocated power grid. In a specific embodiment, the quality evaluation model can be used to analyze the installation quality of the parts belonging to the power grid and the connection quality of the cables belonging to the power grid, thereby obtaining the quality evaluation index of the relocated power grid.

[0033] The quality evaluation index of the relocated power grid is obtained by comprehensive analysis of the construction execution index of the power grid to be relocated and the construction qualification rate of the relocated power grid in this embodiment, and is used to determine the quality of the relocated power grid. The specific expression is:

[0034]

[0035] in, It is the quality evaluation index of the relocated power grid, and the construction execution index of the power grid to be relocated is an important indicator for evaluating the execution and efficiency of various key tasks in the process of power grid relocation construction. It comprehensively reflects the collaboration ability, resource utilization efficiency and project management level of the power grid relocation construction team. If the construction execution index of the power grid to be relocated is low, it means that the power grid relocation has not been carried out smoothly as planned and the quality of the power grid relocation cannot be guaranteed. The low construction qualification rate may lead to unstable operation of the relocated power grid and may even cause safety accidents, thus affecting the reliability and safety of the entire power grid system. Therefore, a comprehensive analysis of the construction qualification rate and the construction execution index will help identify and optimize the deficiencies in the construction management and quality control process of the power grid relocation, thereby improving the safety of the power grid relocation and ensuring the stable operation of the power grid after relocation.

[0036] TS is the construction execution index of the power grid to be relocated, which is obtained by comprehensive analysis of the total time period of construction progress deviation and the construction progress standard of the power grid to be relocated. It is a numerical value used to determine the accuracy of construction execution of the power grid to be relocated.

[0037] RT_Q is the construction qualification rate of the relocated power grid, which represents the average of the voltage qualification rate, insulation resistance qualification rate and welding joint qualification rate of the relocated power grid during the power grid inspection cycle. It is an indicator used to measure the construction quality of the relocated power grid.

[0038] d is the weight factor corresponding to the construction execution index of the power grid to be relocated, and p is the influencing factor corresponding to the unit value of the construction qualification rate. The weight factor corresponding to the construction execution index of the power grid to be relocated is calculated by analyzing the historical data of the construction execution index of the power grid to be relocated by the entropy weight method. The influencing factor corresponding to the unit value of the construction qualification rate is simulated by using the simulation model of the power grid relocation project to simulate the power grid relocation construction process, observe and analyze the influence of the construction qualification rate on the quality evaluation index, and thus extract the influencing factor corresponding to the unit value of the construction qualification rate.

[0039] In an example embodiment, the construction execution index of the power grid to be relocated is set to 9, the construction qualification rate of the relocated power grid is set to 95%, the weight factor corresponding to the construction execution index of the power grid to be relocated is set to 0.4, and the influence factor corresponding to the unit value of the construction qualification rate is set to 0.6. The calculated result is 0.834.

[0040] The power grid relocation demand analysis module is used to obtain power grid operation parameters and analyze the power grid relocation demand index. If the power grid relocation demand index is greater than the power grid relocation demand threshold, the power grid is marked as a power grid to be relocated and the power grid relocation structure determination module is executed. Otherwise, the power grid will not be relocated.

[0041] In a specific embodiment, the present invention obtains a power grid relocation demand index by analyzing the voltage exceeding rate, power supply continuity and voltage harmonic distortion rate of the power grid during the power grid analysis cycle, which helps power grid management personnel to understand the degree of demand for power grid relocation in real time, so as to make targeted plans for the power grid that needs to be relocated, thereby improving the work efficiency of the power grid during relocation.

[0042] Specifically, in a specific embodiment, the power grid relocation demand index can be quantified and analyzed through a multivariate linear regression model to analyze the impact of factors such as urban expansion speed, population density changes, and economic growth rate on the power grid, thereby predicting the power grid relocation demand index.

[0043] The above-mentioned power grid relocation demand index is obtained by comprehensive analysis of the voltage exceeding rate, power supply continuity and voltage harmonic distortion rate of the power grid during the power grid analysis period in this embodiment. It is used to determine the necessary degree of power grid relocation. The specific expression is:

[0044]

[0045] Among them, δ is the grid relocation demand index. A high voltage over-standard rate may lead to accelerated aging of grid equipment and reduce grid energy efficiency. Low grid continuity indicates low grid power supply stability, which will cause great trouble to production and life. High voltage harmonic distortion rate may cause problems such as overheating of grid equipment and insulation aging, increasing the difficulty and cost of grid relocation. Therefore, the voltage harmonic distortion rate is analyzed in the form of an index, which can timely feedback the grid that needs to be relocated and reduce the cost of grid relocation. Comprehensive analysis of the voltage over-standard rate, power supply continuity and voltage harmonic distortion rate of the grid can timely discover the operation problems of the grid and provide reliable data basis for grid relocation.

[0046] V_QF is the voltage exceeding standard rate of the power grid during the power grid analysis period, which means the ratio of the number of power grid voltage abnormal analysis points to the total number of power grid voltage analysis points, reflecting the stability of the power grid voltage during the power grid analysis period.

[0047] S_C is the power supply continuity of the power grid during the power grid analysis period, which means the ratio of the number of power grid voltage analysis points corresponding to zero voltage value to the total number of power grid voltage analysis points, reflecting the power grid's ability to continuously supply power during the power grid analysis period.

[0048] P_GAP is the voltage harmonic distortion rate of the power grid during the power grid analysis period. It is an indicator used to measure the degree of voltage waveform distortion of the power grid. Voltage harmonic distortion will cause the voltage of the power grid to lose its sinusoidal characteristics, making the working state of the power equipment belonging to the power grid unstable.

[0049] z1 is the impact factor corresponding to the unit value of the voltage excess rate, z2 is the impact factor corresponding to the unit value of the power supply continuity, and z3 is the impact factor corresponding to the unit value of the voltage harmonic distortion rate; the impact factors corresponding to the unit value of the voltage excess rate, the impact factors corresponding to the unit value of the power supply continuity, and the impact factors corresponding to the unit value of the voltage harmonic distortion rate are analyzed through the grey correlation analysis model to analyze the influence of the voltage excess rate, power supply continuity and voltage harmonic distortion rate on the power grid migration demand index, so as to calculate the impact factors corresponding to the unit value of the voltage excess rate, the impact factors corresponding to the unit value of the power supply continuity, and the impact factors corresponding to the unit value of the voltage harmonic distortion rate.

[0050] In an example embodiment, the power supply continuity of the power grid during the power grid analysis period is set to 80%, and the impact factor corresponding to the power supply continuity unit value is set to 0.5. The calculation result is 1, and the impact factor corresponding to the unit value of the voltage excess rate is set to 0.6, and the impact factor corresponding to the unit value of the voltage harmonic distortion rate is set to 0.75.

[0051] Specifically, the power grid relocation demand index has a specific analysis process as follows: obtaining the voltage limit value of the power grid, randomly arranging the set power grid analysis cycle as each power grid voltage analysis point according to the power grid operation parameters, extracting the voltage value of the power grid at each power grid voltage analysis point, comparing the voltage limit value with the voltage value at each power grid voltage analysis point, and counting and extracting the number of power grid voltage analysis points corresponding to the voltage value greater than the voltage limit value, marking it as the number of power grid voltage abnormality analysis points, and performing ratio processing on the number of power grid voltage abnormality analysis points and the total number of power grid voltage analysis points, thereby obtaining the voltage exceeding standard rate of the power grid within the power grid analysis cycle; the voltage limit value of the above-mentioned power grid can be extracted from the power company's operating standards; the above-mentioned power grid analysis cycle refers to the time period for analyzing the performance of the power grid. In a specific embodiment, the specific range of the power grid analysis cycle needs to be determined in combination with the actual application scenario of the power grid; the voltage value of the above-mentioned power grid at each power grid voltage analysis point is obtained by measuring the voltage values ​​of several points of the power grid line at each power grid voltage analysis point through a voltage transformer, and obtaining the voltage value of the power grid at each power grid voltage analysis point through mean analysis.

[0052] According to the voltage value of the power grid at each power grid voltage analysis point, the number of power grid voltage analysis points corresponding to zero voltage value is extracted, and a ratio analysis is performed with the total number of power grid voltage analysis points, thereby obtaining the power supply continuity of the power grid within the power grid analysis period.

[0053] According to the grid operation parameters, the voltage signal variation of the grid during the grid analysis period is extracted, and the voltage harmonic distortion rate of the grid during the grid analysis period is obtained through Fourier transform model processing; thereby, the voltage exceeding rate, power supply continuity and voltage harmonic distortion rate of the grid during the grid analysis period are comprehensively analyzed to obtain the grid relocation demand index; the above-mentioned voltage harmonic distortion rate can be obtained by randomly measuring the voltage signal variation at a certain point of the grid line through a power quality analyzer and analyzing and converting it into a digital signal, and the digital signal is analyzed through the Fourier transform model to obtain spectrum data, and the data of the fundamental voltage and harmonic voltage are extracted according to the spectrum data, thereby calculating the voltage harmonic distortion rate.

[0054] The power grid relocation structure determination module is used to obtain the structure information of the power grid system to which the power grid to be relocated belongs, and determine the complexity of the power grid system to which the power grid to be relocated belongs.

[0055] Specifically, the complexity of the power grid system to which the power grid to be relocated belongs, and the specific analysis process is: according to the structural information of the power grid system to which the power grid to be relocated belongs, the number of power stations and the number of substations of the power grid system to which the power grid to be relocated belongs are extracted, and the integration is marked as the number of nodes of the power grid system to which the power grid to be relocated belongs; the number of power stations and the number of substations of the power grid system to which the power grid to be relocated belongs can be extracted from the detailed plan of the power grid system; the number of nodes of the power grid system to which the power grid to be relocated belongs refers to the number of nodes of the power grid system to which the power grid to be relocated is obtained by adding the number of power stations and the number of substations of the power grid system to which the power grid to be relocated belongs.

[0056] The high-voltage line distribution sub-areas, medium-voltage line distribution sub-areas and low-voltage line distribution sub-areas of the power grid system to which the power grid to be relocated belongs are located by using a geographic information system model, and the line lengths of each high-voltage line distribution sub-area, each medium-voltage line distribution sub-area and each low-voltage line distribution sub-area are obtained by distance measurement analysis. The line lengths of each high-voltage line distribution sub-area, each medium-voltage line distribution sub-area and each low-voltage line distribution sub-area are respectively analyzed for mean values, and finally the average length of the high-voltage line of the power grid system to which the power grid to be relocated belongs, the average length of the medium-voltage line of the power grid system to which the power grid to be relocated belongs and the average length of the low-voltage line of the power grid system to which the power grid to be relocated belongs are obtained; the above-mentioned locating of each high-voltage line distribution sub-area, each medium-voltage line distribution sub-area and each low-voltage line distribution sub-area of ​​the power grid system to which the power grid to be relocated belongs refers to integrating the power grid system line data into the geographic information system, the power grid system line data includes but is not limited to spatial data and attribute data, and using spatial analysis methods to locate each high-voltage line distribution sub-area, each medium-voltage line distribution sub-area and each low-voltage line distribution sub-area of ​​the power grid system to which the power grid to be relocated belongs.

[0057] The complexity of the power grid system to which the power grid to be relocated belongs is obtained through comprehensive analysis. In a specific embodiment, the interdependence between each power grid node in the power grid system to which the power grid to be relocated belongs can be analyzed through a complex network model, and the complexity of the power grid system to which the power grid to be relocated belongs can be obtained through in-depth understanding and analysis.

[0058] The complexity of the power grid system to which the relocated power grid belongs is obtained by comprehensively analyzing the number of nodes of the power grid system to which the relocated power grid belongs, the average length of the high-voltage lines, the average length of the medium-voltage lines, and the average length of the low-voltage lines of the power grid system to which the relocated power grid belongs in this embodiment. It is used to determine the complexity of the power grid system to which the relocated power grid belongs. The specific expression is:

[0059]

[0060] Among them, GS is the complexity of the power grid system to which the power grid to be relocated belongs. The more nodes in the power grid system, the more complex the power grid structure is, which may make the power grid relocation more difficult, increase the complexity and cost of power grid relocation work, and the excessive length of power grid lines increases the vulnerability of the power grid system. Comprehensive analysis of the average length of high-voltage lines, the average length of medium-voltage lines, and the average length of high-voltage lines in the power grid can not only analyze the overall layout of the power grid system from a macro and comprehensive perspective, but also simplify the analysis of power grid system lines and improve the efficiency of power grid system analysis. Analyzing the complexity of the power grid system to which the power grid to be relocated belongs can quickly identify the system characteristics of the power grid to which the power grid to be relocated belongs, and help formulate the best plan for power grid relocation.

[0061] NUM is the number of nodes in the power grid system to which the power grid to be relocated belongs, reflecting the complexity and capacity of the power grid system, which are interconnected through transmission lines.

[0062] LG is the average length of the high-voltage lines in the power grid system to which the power grid to be relocated belongs. High-voltage lines are mainly used for long-distance transmission of electric energy and have a higher voltage level. The average length of high-voltage lines reflects the scale of high-voltage lines in the power grid system.

[0063] LZ is the average length of the medium-voltage lines in the power grid system to which the power grid to be relocated belongs. The medium-voltage lines are mainly used to distribute electric energy from the high-voltage transmission network to the distribution network in cities or villages. The average length of the medium-voltage lines reflects the scale of the medium-voltage lines in the power grid system.

[0064] LD is the average length of the low-voltage lines of the power grid system to which the power grid to be relocated belongs. The low-voltage lines are mainly used to transmit electric energy from distribution transformers to the user end. The average length of the low-voltage lines is directly related to the power supply capacity of the power grid system to the end users.

[0065] LG JThe length defined for high-voltage lines indicates the upper limit of the average length of high-voltage lines, which is formulated according to relevant standards of the electric power industry and in combination with actual conditions and is used to analyze the power grid system to which the power grid to be relocated belongs.

[0066] LZ J The length defined for the medium-voltage line indicates the upper limit of the average length of the medium-voltage line formulated according to the relevant standards of the power industry and in combination with the actual situation, and is used to analyze the power grid system to which the power grid to be relocated belongs.

[0067] LD J The length defined for low-voltage lines indicates the upper limit of the average length of low-voltage lines, which is formulated according to relevant standards of the power industry and in combination with actual conditions and is used to analyze the power grid system to which the power grid to be relocated belongs.

[0068] v1 is the impact factor corresponding to the number of single nodes, and v2 is the correction factor corresponding to the line length. By establishing a simulation model of the power grid system, the power grid operation conditions under different numbers of nodes and line lengths are simulated, and their impact on the performance, stability and migration difficulty of the power grid system are analyzed, so as to obtain the impact factor corresponding to the number of single nodes and the correction factor corresponding to the line length.

[0069] In an example embodiment, the average length of the low-voltage lines of the power grid system to which the power grid to be relocated belongs is set to 20 kilometers, and the defined length of the low-voltage lines is set to 25 kilometers. The ratio of the two is 0.8. At the same time, the influence factor corresponding to the number of single nodes is set to 1.5, and the correction factor corresponding to the line length is set to 1.2.

[0070] The power grid relocation plan matching module is used to match and obtain a relocation execution plan for the power grid to be relocated according to the complexity of the power grid system to which the power grid to be relocated belongs.

[0071] Specifically, the matching obtains a relocation execution plan for the power grid to be relocated, and the specific matching process is: matching the complexity of the power grid system to which the power grid to be relocated belongs with the relocation execution plans corresponding to the complexity intervals of each power grid system stored in the power grid data station, thereby obtaining the relocation execution plan for the power grid to be relocated; the above-mentioned relocation execution plan for the power grid to be relocated refers to a set of detailed operation plans formulated for the power grid project to be relocated, including but not limited to relocation goals, relocation steps, schedule arrangements, resource allocation and safety measures; usually, the power grid operation management personnel and power grid experts review and discuss in combination with the actual situation of the power grid, so as to obtain the relocation execution plan.

[0072] The power grid relocation construction evaluation module is used to obtain the construction progress information of the power grid to be relocated, and at the same time evaluate the construction execution index of the power grid to be relocated according to the relocation execution plan of the power grid to be relocated.

[0073] In a specific embodiment, the present invention obtains the construction execution index of the power grid to be relocated by analyzing the total time period of construction progress deviation and the construction progress standard of the power grid to be relocated, so as to timely discover areas where the progress deviation of the power grid relocation is large during the construction process, and thus take corresponding measures to reduce the negative impact of construction delays or other risks on the quality of power grid relocation, ultimately reducing the additional cost of power grid relocation, and reducing the loss degree of construction equipment corresponding to the power grid relocation, so as to improve the operating efficiency of the construction equipment.

[0074] Specifically, the construction progress information of the power grid to be relocated is specifically a Gantt chart of the construction progress of the power grid to be relocated generated by the project management model. The Gantt chart of the construction progress of the power grid to be relocated is as follows: Figure 2 As shown, the horizontal axis is the time point, the unit is day, and the vertical axis is the key construction node, the unit is individual.

[0075] Specifically, the construction execution index of the power grid to be relocated has a specific analysis process as follows: according to the construction progress Gantt chart of the power grid to be relocated, the start time point and the end time point of each key construction node of the power grid to be relocated are located and extracted, and the preset end time point of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and the difference processing is performed with the end time point of each key construction node of the power grid to be relocated to obtain the construction deviation time period of each key construction node of the power grid to be relocated, and the total time period of the construction progress deviation of the power grid to be relocated is obtained by integration; the start time point and the end time point of each key construction node of the power grid to be relocated are as follows: Figure 2 As shown in the figure, the start time point (1) and the end time point (2) of a key construction node can be within the time point range of another key construction node, that is, the time points of the key construction nodes in the construction progress Gantt chart can overlap; they are extracted from the construction plan comprehensively formulated by the power grid relocation construction team based on the actual construction situation, such as weather conditions, equipment deployment, etc.; the preset end time points of the above-mentioned key construction nodes are extracted from the schedule in the relocation execution plan.

[0076] The start time point and the end time point of each key construction node of the power grid to be relocated are processed by difference, so as to obtain the construction time period of each key construction node of the power grid to be relocated. At the same time, the preset time period of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and a ratio analysis is performed with the time period of each key construction node of the power grid to be relocated, so as to obtain the construction progress standard of each key node of the power grid to be relocated, and the average processing is performed to obtain the construction progress standard of the power grid to be relocated; the preset time period of each key construction node is extracted from the progress arrangement in the relocation execution plan.

[0077] The comprehensive analysis thus obtained is used to obtain the construction execution index of the power grid to be relocated. In a specific embodiment, the progress and completion status of each task in the power grid relocation project can be analyzed through the critical path method, thereby evaluating the execution efficiency of the power grid relocation construction and obtaining the construction execution index of the power grid to be relocated.

[0078] The above-mentioned construction execution index of the power grid to be relocated is obtained by comprehensive analysis of the total time period of construction progress deviation and the construction progress standard degree of the power grid to be relocated in this embodiment, and is used to determine the accuracy of the construction execution of the power grid to be relocated. The specific expression is:

[0079]

[0080] Among them, TS is the construction execution index of the power grid to be relocated. The total time period of construction progress deviation is too long, indicating that the construction progress is lagging behind, resulting in increased costs for power grid relocation. The low construction progress standard indicates problems such as low construction efficiency, waste of resources, and substandard safety and quality. Therefore, it is necessary to conduct an index analysis of the construction progress standard to more accurately evaluate the overall progress and quality of the power grid relocation. Comprehensive analysis of the total time period of construction progress deviation and the construction progress standard will help to understand the progress and construction quality of the power grid relocation construction, and provide comprehensive information support for optimizing subsequent power grid relocation work.

[0081] ΔT is the total time period of the construction progress deviation of the power grid to be relocated, which indicates the sum of the difference time periods between the completion time of each key construction node and the preset end time point during the construction of the power grid to be relocated. If it is a positive number, it means that the actual completion time point of the key construction node is later than the preset end time point, that is, the progress is lagging; if it is a negative number, it means that the actual completion time point of the key construction node is earlier than the preset end time point, that is, the progress is ahead of schedule.

[0082] FS is the standard degree of construction progress of the power grid to be relocated. It is an indicator used to measure the degree of consistency between the construction progress of the power grid to be relocated and the preset progress. It reflects the standardization and regularization level of the actual progress of the power grid relocation project, and helps the power grid relocation construction team to effectively monitor and evaluate the progress of the power grid relocation construction.

[0083] m1 is the influencing factor of the unit value corresponding to the total time period of construction progress deviation, and m2 is the influencing factor of the unit value corresponding to the construction progress standard degree. The influencing factors of the unit values ​​corresponding to the total time period of construction progress deviation and the influencing factors of the unit values ​​corresponding to the construction progress standard degree are obtained by collecting historical data of the power grid relocation project, performing statistical analysis on the historical data, identifying the correlation between the total time period of construction progress deviation and the construction progress standard degree, and analyzing and calculating the influencing factors of the unit values ​​corresponding to the total time period of construction progress deviation and the influencing factors of the unit values ​​corresponding to the construction progress standard degree based on the correlation.

[0084] In an example embodiment, the construction progress standard of the power grid to be relocated is set to 0.81, and the impact factor of the unit value corresponding to the construction progress standard is set to 10.5. The calculation result is 7.6545, and the impact factor of the unit value corresponding to the total time period of the construction progress deviation is set to 0.7.

[0085] In a specific embodiment, the present invention provides a power grid migration system based on big data, analyzes the power grid migration demand index, determines whether the power grid needs to be migrated, and if necessary, determines the complexity of the power grid system to which the power grid to be migrated belongs, thereby matching and deriving a migration execution plan for the power grid to be migrated. According to the migration execution plan for the power grid to be migrated, by evaluating the quality evaluation index of the migrated power grid, it is helpful to more accurately grasp the detailed information of the power grid migration, ensure the adaptability of the power grid migration plan, thereby improving the work efficiency and quality of the power grid migration, and at the same time it is helpful to discover and solve potential problems in the power grid migration, thereby providing all-round protection for the power grid migration.

[0086] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A power grid migration system based on big data, characterized in that: include: The power grid relocation demand analysis module is used to obtain power grid operation parameters and analyze the power grid relocation demand index. If the power grid relocation demand index is greater than the power grid relocation demand threshold, the power grid is marked as a power grid to be relocated and the power grid relocation structure determination module is executed. Otherwise, the power grid will not be relocated. A power grid relocation structure determination module is used to obtain the structure information of the power grid system to which the power grid to be relocated belongs, and determine the complexity of the power grid system to which the power grid to be relocated belongs; A power grid relocation plan matching module is used to match and derive a relocation execution plan for the power grid to be relocated according to the complexity of the power grid system to which the power grid to be relocated belongs; The power grid relocation construction evaluation module is used to obtain the construction progress information of the power grid to be relocated, and at the same time, evaluate the construction execution index of the power grid to be relocated according to the relocation execution plan of the power grid to be relocated; The power grid relocation quality determination module is used to obtain the performance parameters of the relocated power grid, and at the same time, evaluate the quality evaluation index of the relocated power grid according to the construction execution index of the power grid to be relocated, so as to determine the quality of the relocated power grid; The power grid data station is used to store the migration execution plan and quality evaluation threshold corresponding to each power grid system complexity interval; The specific analysis process of the power grid relocation demand index is as follows: Obtain the voltage limit value of the power grid, randomly arrange the set power grid analysis period as each power grid voltage analysis point according to the power grid operation parameters, extract the voltage value of the power grid at each power grid voltage analysis point, compare the voltage limit value with the voltage value at each power grid voltage analysis point, count and extract the number of power grid voltage analysis points corresponding to the voltage value greater than the voltage limit value, mark it as the number of power grid voltage abnormality analysis points, and perform ratio processing on the number of power grid voltage abnormality analysis points and the total number of power grid voltage analysis points, thereby obtaining the voltage exceeding standard rate of the power grid within the power grid analysis period; According to the voltage value of the power grid at each power grid voltage analysis point, the number of power grid voltage analysis points corresponding to zero voltage value is extracted, and a ratio analysis is performed with the total number of power grid voltage analysis points, thereby obtaining the power supply continuity of the power grid within the power grid analysis period; According to the grid operation parameters, the voltage signal variation of the grid during the grid analysis period is extracted, and the voltage harmonic distortion rate of the grid during the grid analysis period is obtained through Fourier transform model processing; thus, the voltage exceeding rate, power supply continuity and voltage harmonic distortion rate of the grid during the grid analysis period are comprehensively analyzed to obtain the grid relocation demand index; The construction progress information of the power grid to be relocated is specifically a Gantt chart of the construction progress of the power grid to be relocated generated by the project management model; The specific analysis process of the construction execution index of the power grid to be relocated is as follows: According to the construction progress Gantt chart of the power grid to be relocated, the start time and end time of each key construction node of the power grid to be relocated are located and extracted, and the preset end time of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and the difference processing is performed with the end time of each key construction node of the power grid to be relocated to obtain the construction deviation time period of each key construction node of the power grid to be relocated, and the total time period of the construction progress deviation of the power grid to be relocated is obtained by integration; The start time point and the end time point of each key construction node of the power grid to be relocated are processed by difference, and the construction time period of each key construction node of the power grid to be relocated is obtained. At the same time, the preset time period of each key construction node is extracted from the relocation execution plan of the power grid to be relocated, and a ratio analysis is performed with the time period of each key construction node of the power grid to be relocated, so as to obtain the construction progress standard degree of each key node of the power grid to be relocated, and the average processing is performed to obtain the construction progress standard degree of the power grid to be relocated; The comprehensive analysis results in the construction execution index of the power grid to be relocated; The performance parameters of the relocated power grid specifically include the voltage value of the relocated power grid within the set power grid inspection cycle, the insulation resistance value of the relocated power grid within the set power grid inspection cycle, and the welding parameters of the relocated power grid within the set power grid inspection cycle; The specific analysis process of the quality evaluation index of the relocated power grid is as follows: According to the voltage value of the relocated power grid within the set power grid inspection cycle, the voltage value of the relocated power grid at each power grid voltage inspection point is extracted, the voltage limit value is compared with the voltage value at each power grid voltage inspection point, and each power grid voltage inspection point corresponding to the voltage value less than the voltage limit value is counted and extracted, marked as the number of normal power grid voltage inspection points, and the number of normal power grid voltage inspection points is ratioed with the number of power grid voltage inspection points, thereby obtaining the voltage qualification rate of the relocated power grid within the power grid inspection cycle; Perform a ratio analysis of the insulation resistance value of the relocated power grid within the set power grid inspection cycle and the insulation resistance reference value to obtain the insulation resistance pass rate of the relocated power grid within the power grid inspection cycle; According to the welding parameters of the relocated power grid within the set power grid inspection cycle, the number of welding joints of the relocated power grid and the scanned images of each welding joint are extracted, and the qualified rate of welding joints of the relocated power grid within the power grid inspection cycle is evaluated through the neural network model; the voltage qualified rate, insulation resistance qualified rate and welding joint qualified rate of the relocated power grid within the power grid inspection cycle are averaged and analyzed to obtain the construction qualified rate of the relocated power grid; at the same time, the construction execution index of the power grid to be relocated is comprehensively analyzed to obtain the quality evaluation index of the relocated power grid.

2. The power grid migration system based on big data according to claim 1, characterized in that: The power grid relocation demand index is specifically expressed as: in, is the grid relocation demand index, V_QF is the voltage exceeding standard rate of the grid during the grid analysis period, S_C is the power supply continuity of the grid during the grid analysis period, P_GAP is the voltage harmonic distortion rate of the grid during the grid analysis period, is the impact factor corresponding to the unit value of voltage exceeding standard rate, is the impact factor corresponding to the unit value of power supply continuity, It is the impact factor corresponding to the unit value of voltage harmonic distortion rate.

3. The power grid migration system based on big data according to claim 1, characterized in that: The complexity of the power grid system to which the power grid to be relocated belongs is analyzed in detail as follows: According to the structural information of the power grid system to which the power grid to be relocated belongs, the number of power stations and substations of the power grid system to which the power grid to be relocated belongs is extracted, and the integration is marked as the number of nodes of the power grid system to which the power grid to be relocated belongs; The high-voltage line distribution sub-areas, medium-voltage line distribution sub-areas and low-voltage line distribution sub-areas of the power grid system to which the power grid to be relocated belong are located through the geographic information system model, and the line length of each high-voltage line distribution sub-area, the line length of each medium-voltage line distribution sub-area and the line length of each low-voltage line distribution sub-area are obtained through distance measurement analysis. The line length of each high-voltage line distribution sub-area, the line length of each medium-voltage line distribution sub-area and the line length of each low-voltage line distribution sub-area are analyzed by means of means respectively, and finally the average length of the high-voltage line of the power grid system to which the power grid to be relocated belongs, the average length of the medium-voltage line of the power grid system to which the power grid to be relocated belongs, and the average length of the low-voltage line of the power grid system to which the power grid to be relocated belongs are obtained; thus, the complexity of the power grid system to which the power grid to be relocated belongs is obtained through comprehensive analysis.

4. The power grid migration system based on big data according to claim 3 is characterized by: The matching results in a relocation execution plan for the power grid to be relocated. The specific matching process is as follows: The complexity of the power grid system to which the power grid to be relocated belongs is matched with the relocation execution plan corresponding to each power grid system complexity interval stored in the power grid data station, thereby obtaining the relocation execution plan of the power grid to be relocated.

5. The power grid migration system based on big data according to claim 1, characterized in that: The specific analysis process for judging the quality of the relocated power grid is as follows: The quality evaluation index of the relocated power grid is compared with the quality evaluation threshold stored in the power grid data station. If the quality evaluation index of the relocated power grid is less than the quality evaluation threshold, an early warning reminder is issued to the relocated power grid. If the quality evaluation index of the relocated power grid is equal to or greater than the quality evaluation threshold, feedback is given on the quality of the relocated power grid.

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