Panoramic voltage analysis method and system for power distribution network area, and medium

Abstract

The invention relates to a power distribution network area panoramic voltage analysis method and system and a medium. The method comprises the following steps: data acquisition and preprocessing; establishing a mathematical model of the power distribution network by using a graph theory method according to the acquired connection relation data of the power distribution network; voltage panoramic monitoring: monitoring the voltage levels of all key nodes in the power grid on line; identifying a voltage quality problem, performing visual display on the power distribution network topology model, and identifying an area with a relatively high voltage or a relatively low voltage; multi-scenario analysis and prediction: performing clustering analysis according to the automatically identified voltage anomaly causes to form different application scenarios; formulating an optimization regulation and control strategy, and searching an optimal voltage regulation and control strategy by adopting an optimization algorithm according to analysis and prediction results; and the effect evaluation and closed-loop control performs field execution post-evaluation verification on the generated regulation and control strategy. According to the invention, the operation efficiency and the electric energy quality of the power grid are improved, and powerful technical support is provided for construction and operation of the smart power grid.

Description

Technical Field

[0001] The present application relates to the technical field of power grids, and in particular to a method, system and medium for panoramic voltage analysis in a distribution network area. Background Art

[0002] As an important indicator to measure the operation stability and efficiency of the power grid, with the rapid development of social economy, the continuous change of the power grid environment and the diversification of industrial manufacturing and residential electricity consumption, the requirements for voltage quality are becoming increasingly strict; in the face of complex and diverse voltage anomaly problems, the existing technical methods for voltage anomaly analysis in the distribution network mainly rely on the voltage data of the distribution network in the data center, based on the attribution relationship of "substation-line-transformer-household", relying on human experience and judgment, and through traditional reports to conduct statistical analysis of voltage anomalies in the distribution network, to support the implementation of voltage anomaly governance and project reserve in the distribution network.

[0003] When facing the increasingly complex power grid environment and diverse electricity consumption demands, the existing technologies mainly have the following technical disadvantages: First, it relies on human experience. Currently, voltage anomalies involve multiple links and devices. Relying on "human experience" is easily affected by subjective factors, and the analysis results lack comprehensiveness and accuracy, making it difficult to accurately locate the causes of voltage anomalies; Second, there is a lack of means for voltage anomaly simulation analysis. For the causes of voltage anomalies, it is impossible to quantify the changes in voltage indicators before and after the control strategy, making it difficult to evaluate the effectiveness of the control strategy and affecting the scientificity and accuracy of investment decisions; Third, there is a lack of visual topology analysis means. Currently, voltage analysis and display are mainly carried out through reports, relying on the experience level and judgment of operation and maintenance personnel, without combining the power grid topology model for visual display, making it difficult to effectively support operation and maintenance personnel to quickly identify and lock abnormal areas. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide a method, system and medium for panoramic voltage analysis in a distribution network area, which not only improves the operation efficiency of the power grid and the power quality, but also provides strong technical support for the construction and operation of smart grids.

[0005] To achieve the above purpose, the present application provides the following technical solutions:

[0006] In the first aspect, the embodiments of the present application provide a method for panoramic voltage analysis in a distribution network area, including the following steps:

[0007] Step 1: Data collection and preprocessing, obtaining distribution network data and conducting quality verification to ensure the accuracy of the analysis basis;

[0008] Step 2: For the obtained distribution network connection relationship data, using graph theory methods to establish a mathematical model of the distribution network;

[0009] Step 3: Voltage panoramic monitoring, online monitoring the voltage levels of all key nodes in the power grid;

[0010] Step 4: Voltage quality problem identification, visually display on the distribution network topology model, and identify areas with high or low voltage;

[0011] Step 5: Multi-scenario analysis and prediction, according to the automatically identified causes of voltage anomalies, conduct cluster analysis to form different application scenarios;

[0012] Step 6: Optimization of control strategy formulation, according to the analysis and prediction results, use optimization algorithms to find the optimal voltage control strategy;

[0013] Step 7: Effect evaluation and closed-loop control, conduct on-site execution post-evaluation verification for the generated control strategies.

[0014] The data collection and preprocessing, obtaining distribution network data and conducting quality verification to ensure the accuracy of the analysis basis are as follows:

[0015] Step 11: Obtain the voltage data of measurement devices distributed at various points in the distribution network from the data center and integrate historical voltage records;

[0016] Step 12: Obtain the distribution network topology structure data and equipment file data from the business center;

[0017] Step 13: Conduct quality verification on the collected data from the dimensions of data integrity, accuracy, and consistency, handle missing values and detect outliers to ensure the accuracy of the analysis basis.

[0018] Regarding the obtained distribution network connection relationship data, using graph theory methods to establish a mathematical model of the distribution network is specifically as follows:

[0019] Step 21: Regarding the obtained distribution network connection relationship data, use advanced graph theory methods such as automatic layout, automatic modeling, smooth drawing, and automatic connection to establish a mathematical model of the bus - distribution line - transformer connection relationship;

[0020] Step 22: Based on the established data model, automatically generate a distribution network topology model, including the connection relationships of nodes and branches.

[0021] Regarding the voltage panoramic monitoring, online monitoring the voltage levels of all key nodes in the power grid is specifically as follows:

[0022] Step 31: Enter the measured voltage data of distribution network equipment;

[0023] Step 32: Overlay the voltage data on the distribution network topology model;

[0024] Step 33: Through visualization technology display, form a voltage map;

[0025] Step 34: Monitor the voltage levels of all key nodes in the power grid in real time through the voltage map to support managers in intuitively understanding the voltage distribution in the entire area.

[0026] For the identification of voltage quality problems, visual display is carried out on the distribution network topology model, and the specific areas with high or low voltage are identified as

[0027] Step 41: According to the voltage allowable deviation range stipulated internationally, check and verify the actual measured values of distribution equipment;

[0028] Step 42: Based on the verification results, conduct visual display on the distribution network topology model to identify the areas with high or low voltage;

[0029] Step 43: Analyze the causes of voltage anomalies using statistical and machine learning algorithms;

[0030] Step 44: For the detected and identified voltage anomaly problems, transfer to the following process for analysis;

[0031] Step 45: For the cases where no voltage anomaly problems are detected and identified, the process ends.

[0032] For the multi-scenario analysis and prediction, according to the automatically identified causes of voltage anomalies, clustering analysis is carried out to form different application scenarios, specifically

[0033] Step 51: According to the automatically identified causes of voltage anomalies, conduct clustering analysis to form different application scenarios;

[0034] Step 52: Apply the voltage model optimization learning and simulation technology for the power supply area and the power supply voltage trend calculation and prediction algorithm to automatically simulate and calculate the voltage data of distribution equipment under different scenarios, evaluate the voltage stability of the distribution network under these scenarios, and predict possible voltage problems.

[0035] For the formulation of the optimized control strategy, according to the analysis and prediction results, an optimization algorithm is used to find the optimal voltage control strategy, specifically

[0036] Step 61: According to the analysis and prediction results, use an optimization algorithm to find the optimal voltage control strategy;

[0037] Step 62: Based on the optimization results, simulate and calculate the changes in voltage indicators of distribution equipment and regional users before and after voltage regulation, and pre-evaluate the governance effect of the control strategy;

[0038] Step 63: According to the pre-evaluation results, analyze the rationality of the control strategy;

[0039] Step 64: Automatically transfer to the next process step if it is determined to be reasonable;

[0040] Step 65: If it is determined to be unreasonable, loop back and execute the above Steps 2-6.

[0041] The effect evaluation and closed-loop control perform post-evaluation verification after on-site execution for the generated regulation strategy. Specifically,

[0042] Step 71: Perform post-evaluation verification after on-site execution for the generated regulation strategy;

[0043] Step 72: After a period of verification, obtain the measurement data of the power distribution equipment within a certain period, perform voltage detection and analysis, and evaluate the regulation result;

[0044] Step 73: For the strategy that fails to meet the expectation, feedback it to the operation and maintenance personnel to re-adjust the strategy, loop back and execute Steps 6 and 7 to form a closed-loop control process until the expected strategy is achieved.

[0045] In a second aspect, an embodiment of the present application provides a panoramic voltage analysis system for a distribution network area, including a memory and a processor. The memory includes a program for the panoramic voltage analysis method for the distribution network area. When the program for the panoramic voltage analysis method for the distribution network area is executed by the processor, the following steps are implemented: Step 1: Data collection and preprocessing, obtain the distribution network data and conduct quality verification to ensure the accuracy of the analysis basis;

[0046] Step 2: For the obtained distribution network connection relationship data, establish a mathematical model of the distribution network using graph theory methods;

[0047] Step 3: Panoramic voltage monitoring, online monitor the voltage levels of all key nodes in the power grid;

[0048] Step 4: Voltage quality problem identification, visually display on the distribution network topology model, and identify areas with high or low voltage;

[0049] Step 5: Multi-scenario analysis and prediction, according to the automatically identified causes of voltage anomalies, conduct cluster analysis to form different application scenarios;

[0050] Step 6: Optimization of regulation strategy formulation, according to the analysis and prediction results, use optimization algorithms to find the optimal voltage regulation strategy;

[0051] Step 7: Effect evaluation and closed-loop control perform post-evaluation verification after on-site execution for the generated regulation strategy.

[0052] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the panoramic voltage analysis method for the distribution network area as described above are implemented.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] The present invention proposes a technology for automatically generating maps of the distribution network topology model, constructs a distribution network topology model, including the connection relationships of nodes (busbars) and branches (lines, transformers), which is crucial for operation and maintenance personnel to understand the voltage propagation mechanism in the power grid.

[0055] Based on the distribution network topology model, real-time measurement data of distribution equipment is superimposed to form a comprehensive and detailed voltage status view, which supports operation and maintenance personnel to intuitively understand the voltage distribution status of the entire area and assist in identifying voltage abnormal areas.

[0056] It provides simulation analysis and optimization technology for voltage regulation strategies, automatically simulates and calculates the voltage data of distribution transformers and users in the equipment area, quantifies the influence degree of the voltage data of the distribution network before and after the implementation of the regulation strategy, supports grid personnel to scientifically and reasonably formulate voltage regulation strategies, and solves problems such as the dependence on manual experience analysis for voltage abnormal governance and poor governance effects.

[0057] A closed-loop control mechanism for voltage abnormal governance is formed. After implementing the regulation strategy, a post-evaluation of voltage abnormal governance is carried out, and the measured voltage data of the distribution equipment after governance is re-obtained for monitoring and analysis to evaluate the actual governance effectiveness.

[0058] It provides automatic generation and voltage data visualization display technology based on the distribution network topology model, forms a comprehensive and detailed "voltage status view", and supports more efficient and accurate analysis of the causes of voltage abnormalities and locking of fault areas.

[0059] It provides simulation analysis and optimization technology for voltage regulation strategies, outputs the optimal voltage regulation strategy, and solves problems such as the dependence on manual experience analysis for voltage abnormal governance and poor governance effects. Description of the Drawings

[0060] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0061] Figure 1 It is a flowchart of a method for panoramic voltage analysis of a distribution network area provided by the present application. Detailed Embodiments

[0062] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application. It should be noted that like reference numerals and letters denote like items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0063] The term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0064] The terms "first", "second", etc. are used only to distinguish one entity or operation from another entity or operation, and cannot be construed as indicating or implying relative importance, nor can they be construed as requiring or implying any actual relationship or order between these entities or operations.

[0065] As Figure 1 shown, a panoramic voltage analysis method for a distribution network area provided by the present invention includes the following steps:

[0066] 1. Data collection and preprocessing.

[0067] Step 11: Obtain voltage data (real-time or quasi-real-time) of measurement devices (such as smart meters, RTUs, PMUs, etc.) distributed at various points in the distribution network from the data center, and integrate historical voltage records;

[0068] Step 12: Obtain distribution network topology structure data and equipment file data from the business center;

[0069] Step 13: Conduct quality verification, missing value processing and outlier detection on the collected data from dimensions such as data integrity, accuracy and consistency to ensure the accuracy of the analysis basis.

[0070] 2. Distribution network topology modeling.

[0071] Step 21: For the obtained distribution network connection relationship data, use advanced graph theory methods such as automatic layout, automatic modeling, smooth drawing, and automatic connection to establish a mathematical model of the bus-wiring-transformer connection relationship.

[0072] Step 21: Based on the established data model, automatically generate a distribution network topology model, including the connection relationships of nodes (buses) and branches (lines, transformers).

[0073] 3. Voltage panoramic monitoring.

[0074] Step 31: Input the measured voltage data of distribution network equipment;

[0075] Step 32: Superimpose the voltage data onto the distribution network topology model;

[0076] Step 33: Display through visualization technology to form a "voltage map";

[0077] Step 34: Real-time monitor the voltage levels of all key nodes in the power grid through the voltage map, supporting managers to intuitively understand the voltage distribution status of the entire area.

[0078] 4. Voltage quality problem identification.

[0079] Step 41: Check and verify the actual measured values of distribution equipment according to the internationally specified voltage allowable deviation range;

[0080] Step 42: Based on the verification results, conduct visual display on the distribution network topology model to identify areas with high or low voltage;

[0081] Step 43: Analyze the causes of voltage anomalies using statistical and machine learning algorithms, such as load changes, power grid structure defects, etc.

[0082] Step 44: For the detected voltage anomaly problems, transfer to the following process for analysis;

[0083] Step 45: For the cases where no voltage anomaly problems are detected, the process ends.

[0084] 5. Multi-scenario analysis and prediction.

[0085] Step 51: According to the automatically identified causes of voltage anomalies, conduct cluster analysis to form different application scenarios, such as high load, fault events, power grid framework defects, etc.;

[0086] Step 52: Apply the power supply area voltage model optimization learning simulation technology and the power supply voltage trend calculation and prediction algorithm to automatically simulate and calculate the voltage data of distribution equipment under different scenarios, evaluate the voltage stability of the distribution network under these scenarios, and predict possible voltage problems.

[0087] 6. Optimization of control strategies formulation.

[0088] Step 61: According to the analysis and prediction results, use optimization algorithms (such as particle swarm optimization, genetic algorithm, etc.) to find the optimal voltage control strategies, including adjusting reactive power compensation equipment, changing the tap position of transformers, adjusting the output of generating units, etc.

[0089] Step 62: Based on the optimization results, simulate and calculate the changes in voltage indicators of distribution equipment and regional users before and after voltage regulation, and pre-evaluate the governance effect of the regulation strategy;

[0090] Step 63: Analyze the rationality of the regulation strategy according to the pre-evaluation results;

[0091] Step 64: If it is determined to be reasonable, automatically transfer to the next process step;

[0092] Step 65: If it is determined to be unreasonable, re-loop and execute the interval of key steps 2 - 6.

[0093] 7. Effect evaluation and closed-loop control.

[0094] Step 71: Conduct on-site post-evaluation verification for the generated regulation strategy;

[0095] Step 72: After a period of verification, obtain the measurement data of distribution equipment within a certain period (adjustable), conduct voltage detection and analysis, and evaluate the regulation results;

[0096] Step 73: For strategies that do not meet the expectations, feedback to the operation and maintenance personnel to re-adjust the strategies, and loop and execute the interval of steps 6 - 7 to form a closed-loop control process.

[0097] Step 74: For strategies that meet the expectations, this process ends.

[0098] The embodiment of the present application provides a panoramic voltage analysis system for a distribution network area, including a memory and a processor. The memory includes a program of the panoramic voltage analysis method for the distribution network area. When the program of the panoramic voltage analysis method for the distribution network area is executed by the processor, the following steps are implemented: Step 1: Data collection and preprocessing, obtain the distribution network data and conduct quality verification to ensure the accuracy of the analysis basis;

[0099] Step 2: For the obtained distribution network connection relationship data, use the graph theory method to establish a mathematical model of the distribution network;

[0100] Step 3: Panoramic voltage monitoring, online monitor the voltage levels of all key nodes in the power grid;

[0101] Step 4: Voltage quality problem identification, visually display on the distribution network topology model, and identify areas with high or low voltage;

[0102] Step 5: Multi-scenario analysis and prediction, according to the automatically identified causes of voltage anomalies, conduct cluster analysis to form different application scenarios;

[0103] Step 6: Optimization of regulation strategy formulation, according to the analysis and prediction results, use an optimization algorithm to find the optimal voltage regulation strategy;

[0104] Step 7: Effect evaluation and closed-loop control: After the generated regulation strategy is executed on-site, conduct post-evaluation verification.

[0105] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned panoramic voltage analysis method for a distribution network area are implemented.

[0106] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0108] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device implements the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0110] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0111] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0112] Computer-readable media includes both permanent and non-permanent, removable and non-removable media implemented by any method or technology for information storage. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transitory media that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0113] The above are only examples of the embodiments of the present application and are not intended to limit the protection scope of the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A method for analyzing the panoramic voltage of a distribution network area, characterized in that: The steps include: Step 1: Data collection and preprocessing, obtaining distribution network data and conducting quality checks to ensure the accuracy of the analysis basis; Step 2: Based on the obtained distribution network connection relationship data, a mathematical model of the distribution network is established using graph theory methods; Step 3: Voltage panoramic monitoring, online monitoring of the voltage levels of all key nodes in the power grid; Step 4: Identify voltage quality issues and visualize them on the distribution network topology model to identify areas with high or low voltage. Step 5: Multi-scenario analysis and prediction: Based on the automatically identified causes of voltage anomalies, cluster analysis is performed to form different application scenarios; Step 6: Optimize the control strategy formulation. According to the analysis and prediction results, use the optimization algorithm to find the optimal voltage control strategy; Step 7: Effect evaluation and closed-loop control Conduct on-site post-implementation evaluation and verification for the generated control strategy.

2. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The data collection and preprocessing, obtaining the distribution network data and performing quality verification to ensure the accuracy of the analysis basis are as follows: Step 11: Obtain voltage data of measuring devices distributed at various points in the distribution network from the data center and integrate historical voltage records; Step 12: Obtain distribution network topology data and equipment archive data from the business center; Step 13: For the collected data, conduct quality checks from the dimensions of data completeness, accuracy and consistency, handle missing values ​​and detect outliers to ensure the accuracy of the analysis basis.

3. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The mathematical model of the distribution network is established by using the graph theory method for the obtained distribution network connection relationship data as follows: Step 21: Based on the obtained distribution network connection relationship data, use advanced graph theory methods such as automatic layout, automatic modeling, smooth drawing, and automatic connection to establish a mathematical model of busbar-distribution-transformer connection relationship; Step 22: Based on the constructed data model, the distribution network topology model is automatically generated, including the connection relationship between nodes and branches.

4. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The voltage panoramic monitoring, online monitoring of the voltage levels of all key nodes in the power grid is specifically as follows: Step 31: input the measured voltage data of the distribution network equipment; Step 32: superimposing the voltage data onto the distribution network topology model; Step 33: Displaying through visualization technology to form a voltage map; Step 34: Real-time online monitoring of the voltage levels of all key nodes in the power grid through the voltage map enables management personnel to intuitively understand the voltage distribution status of the entire area.

5. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The voltage quality problem identification is visualized on the distribution network topology model to identify the areas where the voltage is high or low. Step 41: Check and verify the actual measured values ​​of the power distribution equipment according to the internationally specified voltage tolerance range; Step 42: Based on the verification results, a visualization is performed on the distribution network topology model to identify areas where the voltage is too high or too low; Step 43: Analyze the cause of voltage anomaly using statistics and machine learning algorithms; Step 44: For the abnormal voltage problem detected and identified, proceed to the following process analysis; Step 45: If the detection does not identify the voltage abnormality problem, the process ends.

6. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The multi-scenario analysis and prediction is performed based on the automatically identified causes of voltage anomalies, and different application scenarios are formed, specifically: Step 51: Perform cluster analysis based on the automatically identified causes of voltage anomalies to form different application scenarios; Step 52: Apply the power supply area voltage model optimization learning simulation technology and the power supply voltage trend calculation and prediction algorithm to automatically simulate and calculate the voltage data of the distribution equipment under different scenarios, evaluate the voltage stability of the distribution network under these scenarios, and predict possible voltage problems.

7. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The optimization control strategy is formulated by using an optimization algorithm to find the optimal voltage control strategy based on the analysis and prediction results. Specifically, Step 61: According to the analysis and prediction results, an optimization algorithm is used to find the optimal voltage regulation strategy; Step 62: Based on the optimization result, simulate and calculate the voltage index changes of the power distribution equipment and regional users before and after the voltage regulation, and pre-evaluate the governance effect of the regulation strategy; Step 63: Analyze the rationality of the control strategy based on the preliminary assessment results; Step 64: If the judgment is reasonable, it will automatically proceed to the next process step; Step 65: If it is judged to be unreasonable, the above steps 2-6 are executed again in a loop.

8. A method for analyzing the panoramic voltage of a distribution network area according to claim 1, characterized in that: The effect evaluation and closed-loop control are specifically carried out for the generated control strategy through on-site post-execution evaluation and verification. Step 71: Conduct on-site post-implementation evaluation and verification for the generated control strategy; Step 72: After a period of verification, obtain the measurement data of the power distribution equipment within a certain period, perform voltage detection and analysis, and evaluate the control results; Step 73: If the expected strategy is not achieved, feedback is given to the operation and maintenance personnel to readjust the strategy, and steps 6 and 7 are executed repeatedly to form a closed-loop control process to achieve the expected strategy.

9. A panoramic voltage analysis system for a distribution network area, characterized in that: The method comprises a memory and a processor, wherein the memory comprises a program of a method for analyzing a panoramic voltage of a distribution network area, and the program of the method for analyzing a panoramic voltage of a distribution network area is executed by the processor to implement the following steps: Step 1: data collection and preprocessing, obtaining distribution network data and performing quality verification to ensure the accuracy of the analysis basis; Step 2: Based on the obtained distribution network connection relationship data, a mathematical model of the distribution network is established using graph theory methods; Step 3: Voltage panoramic monitoring, online monitoring of the voltage levels of all key nodes in the power grid; Step 4: Identify voltage quality issues and visualize them on the distribution network topology model to identify areas with high or low voltage. Step 5: Multi-scenario analysis and prediction: Based on the automatically identified causes of voltage anomalies, cluster analysis is performed to form different application scenarios; Step 6: Optimize the control strategy formulation. According to the analysis and prediction results, use the optimization algorithm to find the optimal voltage control strategy; Step 7: Effect evaluation and closed-loop control Conduct on-site post-implementation evaluation and verification for the generated control strategy.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for analyzing the panoramic voltage of a distribution network area as described in any one of claims 1 to 8 are implemented.

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