Power grid static partitioning system and method based on cloud service architecture

Abstract

The invention discloses a power grid static partitioning system and method based on a cloud service architecture, and relates to the technical field of power grid management, and the system comprises a power grid data collection module, a cloud service management module, a power grid partitioning strategy module, an independent service unit, and a user interaction interface. The power grid data acquisition module is used for collecting real-time data of a power grid and transmitting the real-time data to the cloud service management module through a network; the cloud service management module is used for processing, storing and analyzing the power grid data; the power grid partition strategy module divides a power grid into a plurality of static partitions according to real-time data and a preset partition strategy. Through the application of the micro-service architecture, when the power grid partition system is expanded, each service unit can be independently carried out and does not interfere with each other, and the risk that the system is illegally invaded is reduced through a dual verification mechanism and a data transmission redundancy design, so that the stability of the whole system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid management, and in particular to a power grid static partitioning system and method based on a cloud service architecture. Background Art

[0002] In large-scale power grid management, static partitioning is a common method used to divide the power grid into multiple independent areas for easy monitoring and management. With the development of cloud computing technology, the power grid static partitioning system has begun to adopt cloud service architecture to improve data processing capabilities and system reliability.

[0003] However, a single cloud service architecture may have the risk of single point failure. Once the system fails, it may affect the stable operation of the entire power grid. At the same time, the various parts of the system are tightly coupled, and expanding one part may affect other parts. A single point of failure may cause instability in the entire power grid partition system. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a power grid static partitioning system based on a cloud service architecture, which can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a power grid static partitioning system based on a cloud service architecture, which includes a power grid data acquisition module, a cloud service management module, a power grid partitioning strategy module, an independent service unit, and a user interaction interface;

[0009] The power grid data acquisition module is used to collect real-time data of the power grid and transmit it to the cloud service management module through the network;

[0010] The cloud service management module is used to process, store and analyze power grid data, and adopts a microservice architecture to decompose the power grid partition system into multiple independent service units;

[0011] The power grid partition strategy module divides the power grid into multiple static partitions according to real-time data and a preset partition strategy; the power grid partition strategy module includes a cloud server, a local server, a power grid partition control unit and a dual verification unit, and the dual verification unit includes a cloud verification unit and a local verification unit;

[0012] The independent service units include data storage services, computing services, analysis services, and display services, and each independent service unit is independently expanded and deployed;

[0013] The user interaction interface enables the user to view the power grid partitioning status, adjust the partitioning strategy, and monitor the system performance through the user interaction interface.

[0014] As a preferred solution of the power grid static partitioning system based on the cloud service architecture described in the present invention, wherein: the power grid data acquisition module adopts encrypted communication;

[0015] The encrypted communication includes encryption before data transmission and encryption during data transmission. Before data transmission, a symmetric encryption algorithm or an asymmetric encryption algorithm is used to encrypt the data; during data transmission, a hash algorithm is used to check the integrity of the data.

[0016] As a preferred solution of the power grid static partitioning system based on cloud service architecture described in the present invention, the cloud server is used to set up a verification mechanism to verify all received power grid partitioning data to ensure the integrity and accuracy of the data. When the power grid data is uploaded to the cloud server, the cloud verification unit analyzes the data and verifies it through a preset algorithm. After confirmation, the data is used for subsequent processing.

[0017] As a preferred solution of the power grid static partitioning system based on cloud service architecture described in the present invention, the local server includes a verification mechanism to perform secondary confirmation on local operations. Before the local server performs power grid partitioning operations, the local verification unit reviews the operation instructions to confirm the legality and correctness of the instructions.

[0018] As a preferred solution of the power grid static partitioning system based on the cloud service architecture of the present invention, the specific method of using the power grid partitioning strategy module in the power grid static partitioning system includes:

[0019] The real-time data of the power grid is collected by the power grid partition control unit. The formula for data collection is expressed as follows:

[0020]

[0021] Where t is the time point, DataPoint i (t) is the value of the ith data point, and n is the total number of data points;

[0022] The local verification unit performs preliminary verification on the data, excludes abnormal data, and uploads the locally verified data to the cloud server. The formula for preliminary verification is expressed as:

[0023] ValidData(t)=Filter(t, DataCollection(t)

[0024] Among them, Filter is a filtering function used to remove abnormal data. The formula for data upload is expressed as:

[0025] UploadData(t)=ValidData(t)

[0026] The cloud verification unit performs re-verification and backs up the data. The formula for cloud verification and backup is expressed as:

[0027] BackupData(t) = ValidData(t) The double-verified data is used for static partition calculation of the power grid partition control unit. The formula for static partition calculation is expressed as:

[0028] StaticPartition(t)=Calculate(t,ValidData(t))

[0029] Among them, Calculate is a calculation function used to perform grid partition calculation;

[0030] When any system fails, another system can quickly take over to ensure the continuity and reliability of the power grid partition.

[0031] As a preferred solution of the power grid static partitioning system based on the cloud service architecture described in the present invention, two connection lines are set between the cloud server and the local server, namely a main connection line and a backup connection line. When the main connection line fails, the system will automatically switch to the backup connection line;

[0032] The cloud verification unit and the local verification unit periodically synchronize data.

[0033] As a preferred solution of the power grid static partitioning system based on cloud service architecture described in the present invention, the independent service unit is provided with a fault prediction and early warning function, which predicts possible faults through real-time analysis of power grid data and issues early warnings in a timely manner.

[0034] In a second aspect, the present invention provides a method for static partitioning of a power grid based on a cloud service architecture, which comprises: a power grid data acquisition module collects power grid data in real time through a sensor device and transmits the data to a cloud service management module through encrypted communication;

[0035] The cloud service management module processes, stores and analyzes real-time data and allocates the data to the corresponding independent service units;

[0036] The power grid partition strategy module generates a static power grid partition scheme based on real-time data and preset partition strategies;

[0037] Independent service units independently calculate, analyze and display power grid partitions according to the partitioning scheme;

[0038] Users can view the grid partitioning status through the user interaction interface and adjust the partitioning strategy as needed.

[0039] In a third aspect, the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, the steps of a power grid static partitioning system based on a cloud service architecture are implemented.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, the steps of a power grid static partitioning system based on a cloud service architecture are implemented.

[0041] Compared with the prior art, the beneficial effects of the present invention are that the present invention effectively solves the stability problems that may arise during system expansion by designing a modular power grid partitioning strategy, and through the application of the microservice architecture, each service unit can operate independently when the power grid partitioning system is expanded without interfering with each other, thereby ensuring the stability of the overall system; the present invention adopts a microservice architecture to decompose the power grid partitioning system into multiple independent service units, each of which can be independently expanded and deployed according to actual needs, greatly improving the flexibility and maintainability of the system, which is difficult to match with the prior art; the present invention reduces the risk of illegal intrusion into the system through a double verification mechanism and data transmission redundant design, ensures the security of the power grid partitioning system, and combines cloud and local services to improve the system's adaptability and recovery speed to various faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A system module diagram of a power grid static partitioning system and method based on a cloud service architecture provided by an embodiment of the present invention;

[0044] Figure 2 An internal structural diagram of a computer device of a power grid static partitioning system and method based on a cloud service architecture provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the present invention more understandable, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0046] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0047] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0048] Example 1

[0049] Reference Figure 1-Figure 2 , which is the first embodiment of the present invention, and provides a power grid static partitioning system based on a cloud service architecture, including:

[0050] This application provides an effective solution to the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the power grid static partitioning system based on the cloud service architecture;

[0051] Figure 1 A system module diagram of a power grid static partitioning system and method based on a cloud service architecture is shown, including:

[0052] A power grid static partitioning system based on a cloud service architecture, the power grid static partitioning system comprising a power grid data acquisition module, a cloud service management module, a power grid partitioning strategy module, an independent service unit, and a user interaction interface;

[0053] The power grid data acquisition module is used to collect real-time data of the power grid and transmit it to the cloud service management module through the network; in the power grid data acquisition module, data transmission adopts encrypted communication to ensure data security;

[0054] Encrypted communication methods include encryption before data transmission and encryption during data transmission. Before data transmission, the data is encrypted using the AES symmetric encryption algorithm or the asymmetric encryption algorithm. During data transmission, a hash algorithm such as SHA-256 is used to check the data integrity to ensure that the data has not been tampered with during transmission.

[0055] The cloud service management module is used to process, store and analyze power grid data. It uses a microservice architecture to decompose the power grid partition system into multiple independent service units to achieve modular management and independent expansion.

[0056] Based on the microservice architecture, modular management of the power grid partition system is implemented, and each service unit communicates through standardized interfaces, reducing the coupling between systems and improving the reliability and maintainability of the system.

[0057] The power grid partition strategy module divides the power grid into multiple static partitions according to real-time data and preset partition strategies; the power grid partition strategy module includes a cloud server, a local server, a power grid partition control unit, and a dual verification unit, and the dual verification unit includes a cloud verification unit and a local verification unit;

[0058] Independent service units include but are not limited to data storage services, computing services, analysis services, and display services. Each independent service unit is independently expanded and deployed;

[0059] When the scale of the power grid expands, only the corresponding partition computing service units need to be added without redesigning and deploying the entire system.

[0060] Furthermore, the user interaction interface enables the user to view the grid partitioning status, adjust the partitioning strategy, and monitor the system performance through the user interaction interface.

[0061] Furthermore, the cloud server is used to set up a verification mechanism to verify all received power grid partition data to ensure the integrity and accuracy of the data. When the power grid data is uploaded to the cloud server, the cloud verification unit analyzes the data and verifies it through a preset algorithm. After confirmation, the data is used for subsequent processing.

[0062] Furthermore, the local server is equipped with a verification mechanism to perform secondary confirmation on local operations to enhance system reliability. Before the local server performs grid partitioning operations, the local verification unit reviews the operation instructions to confirm the legality and correctness of the instructions.

[0063] The specific method of using the power grid partition strategy module for the power grid static partition system includes the following steps:

[0064] The real-time data of the power grid is collected by the power grid partition control unit. The formula for data collection is expressed as:

[0065]

[0066] Where t is the time point, DataPoint i (t) is the value of the ith data point, and n is the total number of data points;

[0067] The local verification unit performs preliminary verification on the data, excludes abnormal data, and uploads the locally verified data to the cloud server; the formula for preliminary verification is expressed as:

[0068] ValidData(t)=Filter(t, DataCollection(t))

[0069] Among them, Filter is a filtering function used to remove abnormal data; the formula for data upload is expressed as:

[0070] UploadData(t)=ValidData(t)

[0071] The cloud verification unit performs re-verification and backs up the data; the formula for cloud verification and backup is expressed as:

[0072] BackupData(t)=ValidData(t)

[0073] The double-verified data is used for the static partition calculation of the power grid partition control unit. The formula for static partition calculation is expressed as:

[0074] StaticPartiton(t)=Calculate(t,ValidData(t))

[0075] Among them, Calculate is a calculation function used to perform grid partition calculation;

[0076] When any system fails, another system can quickly take over to ensure the continuity and reliability of the power grid partition.

[0077] Furthermore, two connection lines are set up between the cloud server and the local server, namely the main connection line and the backup connection line. When the main connection line fails, the system will automatically switch to the backup connection line to ensure the continuity of data transmission. Data synchronization is performed regularly between the cloud verification unit and the local verification unit to ensure the consistency of data on both sides.

[0078] Furthermore, the independent service unit adds fault prediction and early warning functions, which predict possible faults through real-time analysis of power grid data, and issue early warnings in a timely manner to improve power grid stability.

[0079] Furthermore, in the cloud-based service architecture of the grid static partitioning system, within an independent service unit, the fault prediction model analyzes the grid data and predicts that a transformer will experience an overload fault within the next few hours. The system automatically issues an early warning, and the user interface displays detailed information about the fault and recommended load reduction strategies. The operator reduces the load of the transformer through remote control and arranges subsequent inspection and maintenance work, thereby improving the stability of the grid.

[0080] Furthermore, this embodiment also provides a method for static partitioning of a power grid based on a cloud service architecture, comprising:

[0081] The power grid data acquisition module collects power grid data in real time through sensor devices and transmits it to the cloud service management module through encrypted communication; the sensor devices include voltage sensors, current sensors, etc., which are used to detect various parameters of the power grid.

[0082] The cloud service management module processes, stores and analyzes real-time data and allocates the data to the corresponding independent service units;

[0083] The power grid partition strategy module generates a static power grid partition scheme based on real-time data and preset partition strategies;

[0084] Independent service units independently calculate, analyze and display power grid partitions according to the partitioning plan; the calculation results include power grid parameters in each partition, such as voltage, current, etc.

[0085] Users can view the grid partitioning status through the user interaction interface and adjust the partitioning strategy as needed.

[0086] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 2As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a system and method for static partitioning of a power grid based on a cloud service architecture is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0087] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which implements the following steps when the computer program is executed by a processor: a power grid data acquisition module, a cloud service management module, a power grid partitioning strategy module, an independent service unit, and a user interaction interface;

[0088] The power grid data acquisition module is used to collect real-time data of the power grid and transmit it to the cloud service management module through the network;

[0089] The cloud service management module is used to process, store and analyze power grid data, and adopts a microservice architecture to decompose the power grid partition system into multiple independent service units;

[0090] The power grid partition strategy module divides the power grid into multiple static partitions according to real-time data and a preset partition strategy; the power grid partition strategy module includes a cloud server, a local server, a power grid partition control unit and a dual verification unit, and the dual verification unit includes a cloud verification unit and a local verification unit;

[0091] The independent service units include data storage services, computing services, analysis services, and display services, and each independent service unit is independently expanded and deployed;

[0092] The user interaction interface enables the user to view the power grid partitioning status, adjust the partitioning strategy, and monitor the system performance through the user interaction interface.

[0093] Example 2

[0094] Reference Figure 1 - Figure 2, which is the second embodiment of the present invention, and this embodiment provides a power grid static partitioning system based on a cloud service architecture. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0095] It can be seen from the above data that the grid static partitioning system based on the cloud service architecture has significant advantages in many aspects. First, the average response time of the system is very short, even the slowest substation E is only 0.28 seconds, which shows that the system can quickly process a large amount of grid data and respond in time, which is crucial for the stable operation of the grid. Secondly, the data transmission delay is kept at a low level, thanks to the efficient encryption communication technology adopted by the present invention, which not only ensures the security of the data, but also reduces the delay caused by encryption, thereby improving the overall performance of the system.

[0096] In terms of data encryption speed, the data encryption speed of each substation exceeded 118Mbps, which shows that the present invention ensures data security without sacrificing the efficiency of data transmission, which is very important for power grids that need real-time monitoring and adjustment. The fault detection accuracy rate reached more than 98%, indicating that the system has a strong fault prediction and early warning capability, can detect potential problems in advance, reduce the risk of faults, and improve the reliability of power grid operation.

[0097] The average partition calculation time is about 0.55 seconds, which reflects the efficiency of the present invention in power grid partition calculation. By combining the power grid partition control unit with the cloud and local dual verification units, the system can quickly complete the power grid partition calculation while ensuring data security, which is of great significance for dealing with power grid emergencies. Finally, the user satisfaction score is generally high, reaching about 9.2 points, which shows that users are satisfied with the user interaction interface provided by the present invention, and believe that it is easy to operate, the information display is clear, and it helps to improve work efficiency.

[0098] In summary, the power grid static partitioning system based on cloud service architecture is not only innovative in technical implementation, but also shows significant advantages in practical applications, especially in improving power grid operation efficiency, enhancing data security and user experience. The present invention shows characteristics that are significantly superior to existing technologies.

[0099] Table 1 Experimental data table

[0100]

[0101] It can be seen from the above data that the grid static partitioning system based on the cloud service architecture has significant advantages in many aspects. First, the average response time of the system is very short, even the slowest substation E is only 0.28 seconds, which shows that the system can quickly process a large amount of grid data and respond in time, which is crucial for the stable operation of the grid. Secondly, the data transmission delay is kept at a low level, thanks to the efficient encryption communication technology adopted by the present invention, which not only ensures the security of the data, but also reduces the delay caused by encryption, thereby improving the overall performance of the system.

[0102] In terms of data encryption speed, the data encryption speed of each substation exceeded 118Mbps, which shows that the present invention ensures data security without sacrificing the efficiency of data transmission, which is very important for power grids that need real-time monitoring and adjustment. The fault detection accuracy rate reached more than 98%, indicating that the system has a strong fault prediction and early warning capability, can detect potential problems in advance, reduce the risk of faults, and improve the reliability of power grid operation.

[0103] The average partition calculation time is about 0.55 seconds, which reflects the efficiency of the present invention in power grid partition calculation. By combining the power grid partition control unit with the cloud and local dual verification units, the system can quickly complete the power grid partition calculation while ensuring data security, which is of great significance for dealing with power grid emergencies. Finally, the user satisfaction score is generally high, reaching about 9.2 points, which shows that users are satisfied with the user interaction interface provided by the present invention, and believe that it is easy to operate, the information display is clear, and it helps to improve work efficiency.

[0104] In summary, the power grid static partitioning system based on cloud service architecture is not only innovative in technical implementation, but also shows significant advantages in practical applications, especially in improving power grid operation efficiency, enhancing data security and user experience. The present invention shows characteristics that are significantly superior to existing technologies.

[0105] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0106] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. 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.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

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

[0108] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0110] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0111] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A power grid static partitioning system based on cloud service architecture, characterized by: It includes a power grid data acquisition module, a cloud service management module, a power grid partitioning strategy module, an independent service unit, and a user interaction interface; The power grid data acquisition module is used to collect real-time data of the power grid and transmit it to the cloud service management module through the network; The cloud service management module is used to process, store and analyze power grid data, and adopts a microservice architecture to decompose the power grid partition system into multiple independent service units; The power grid partition strategy module divides the power grid into multiple static partitions according to real-time data and a preset partition strategy; the power grid partition strategy module includes a cloud server, a local server, a power grid partition control unit and a dual verification unit, and the dual verification unit includes a cloud verification unit and a local verification unit; The independent service units include data storage services, computing services, analysis services, and display services, and each independent service unit is independently expanded and deployed; The user interaction interface enables the user to view the power grid partitioning status, adjust the partitioning strategy, and monitor the system performance through the user interaction interface.

2. The power grid static partitioning system based on cloud service architecture according to claim 1, characterized in that: The power grid data acquisition module adopts encrypted communication; The encrypted communication includes encryption before data transmission and encryption during data transmission. Before data transmission, a symmetric encryption algorithm or an asymmetric encryption algorithm is used to encrypt the data; during data transmission, a hash algorithm is used to check the integrity of the data.

3. The power grid static partitioning system based on cloud service architecture as claimed in claim 2, characterized in that: The cloud server is used to set up a verification mechanism to verify all received power grid partition data to ensure the integrity and accuracy of the data. When the power grid data is uploaded to the cloud server, the cloud verification unit analyzes the data and verifies it through a preset algorithm. After confirmation, the data is used for subsequent processing.

4. The power grid static partitioning system based on cloud service architecture as claimed in claim 3, characterized in that: The local server includes a verification mechanism to perform secondary confirmation on local operations. Before the local server performs power grid partitioning operations, the local verification unit reviews the operation instructions to confirm the legality and correctness of the instructions.

5. The power grid static partitioning system based on cloud service architecture according to claim 4, characterized in that: The specific method of using the power grid partition strategy module in the power grid static partition system includes: The real-time data of the power grid is collected by the power grid partition control unit. The formula for data collection is expressed as follows: Where t is the time point, DataPoint i (t) is the value of the ith data point, and n is the total number of data points; The local verification unit performs preliminary verification on the data, excludes abnormal data, and uploads the locally verified data to the cloud server. The formula for preliminary verification is expressed as: ValidData(t)=Filter(t, DataCollection(t)) Among them, Filter is a filtering function used to remove abnormal data. The formula for data upload is expressed as: UploadData(t)=ValidData(t) The cloud verification unit performs re-verification and backs up the data. The formula for cloud verification and backup is expressed as: BackupData(t)=ValidData(t) The double-verified data is used for the static partition calculation of the power grid partition control unit. The formula for static partition calculation is expressed as: StaticPartition(t)=Calculate(t,ValidData(t)) Among them, Calculate is a calculation function used to perform grid partition calculation; When any system fails, another system can quickly take over to ensure the continuity and reliability of the power grid partition.

6. The power grid static partitioning system based on cloud service architecture according to claim 5, characterized in that: Two connection lines are set up between the cloud server and the local server, namely the main connection line and the backup connection line. When the main connection line fails, the system will automatically switch to the backup connection line; The cloud verification unit and the local verification unit periodically synchronize data.

7. The power grid static partitioning system based on cloud service architecture according to claim 6, characterized in that: The independent service unit is provided with a fault prediction and early warning function, which predicts possible faults through real-time analysis of power grid data and issues early warnings in a timely manner.

8. A method for static partitioning of a power grid based on a cloud service architecture, based on the static partitioning system of a power grid based on a cloud service architecture according to any one of claims 1 to 7, characterized in that: Including, the power grid data acquisition module collects power grid data in real time through sensor equipment and transmits it to the cloud service management module through encrypted communication; The cloud service management module processes, stores and analyzes real-time data and allocates the data to the corresponding independent service units; The power grid partition strategy module generates a static power grid partition scheme based on real-time data and preset partition strategies; Independent service units independently calculate, analyze and display power grid partitions according to the partitioning scheme; Users can view the grid partitioning status through the user interaction interface and adjust the partitioning strategy as needed.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the power grid static partitioning system based on cloud service architecture according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power grid static partitioning system based on cloud service architecture according to any one of claims 1 to 7 are implemented.

Images