Application architecture generation method and device of power distribution network, storage medium and electronic equipment

By obtaining and utilizing the parameter information of the target terminal access equipment in the distribution network, the application architecture of the distribution network is solved, and the distribution network cannot process data effectively in real time is achieved, achieving more efficient data processing and better user experience.

CN119578797APending Publication Date: 2025-03-07GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202411647904.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-03-07

AI Technical Summary

Technical Problem

The distribution network cannot process data effectively in real time, and the existing technology has not yet proposed an effective solution.

Method used

By obtaining the parameter information of the target terminal access device in the initial distribution network, controlling its access to the initial distribution network, generating the application architecture of the target distribution network, and using topological identification strategies to identify the topological characteristics and connection relationships of the components.

Benefits of technology

Real-time effective data processing of the distribution network is realized, security is improved, operating costs are reduced, and user experience is enhanced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an application architecture generation method and device of a power distribution network, a storage medium and electronic equipment. The method comprises the following steps: acquiring first parameter information of target terminal access equipment in an initial power distribution network; based on the first parameter information, controlling a target terminal access device to access to the initial power distribution network to obtain a target power distribution network; in response to successful access of the target terminal access device to the initial power distribution network, generating the target power distribution network into an application architecture of the target power distribution network according to a topology identification strategy, the topology identification strategy being used for identifying topological features of a plurality of components in the target power distribution network and / or a connection relationship among the plurality of components, the application architecture is used for representing topological characteristics of a plurality of components in the target power distribution network, and / or a connection relationship among the plurality of components. The technical problem that the power distribution network cannot effectively process data in real time is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of power grid architecture, and in particular to a method, device, storage medium and electronic device for generating an application architecture of a distribution network. Background Art

[0002] At present, cloud computing technology can be used in distribution networks to process data in distribution networks. For example, the distributed resource data of the distribution network collected by terminal devices can be collected in the data center for processing and application. However, the above method leads to the technical problem that the distribution network cannot process data effectively in real time.

[0003] With respect to the technical problem that the above-mentioned distribution network cannot effectively process data in real time, no effective solution has been proposed so far. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, storage medium and electronic device for generating an application architecture of a distribution network, so as to at least solve the technical problem that the distribution network cannot effectively process data in real time.

[0005] According to one aspect of an embodiment of the invention, a method for generating an application architecture of a distribution network is provided, and the method may include: obtaining first parameter information of a target terminal access device in an initial distribution network; based on the first parameter information, controlling the target terminal access device to access the initial distribution network to obtain a target distribution network; in response to the target terminal access device successfully accessing the initial distribution network, generating an application architecture of the target distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify topological features of multiple components in the target distribution network, and / or connection relationships between multiple components, and the application architecture is used to characterize topological features of multiple components in the target distribution network, and / or connection relationships between multiple components.

[0006] Optionally, before obtaining the first parameter information of the target terminal access device in the initial distribution network, the method also includes: obtaining evaluation information of the target terminal access device to be determined, wherein the evaluation information is used to evaluate the importance of the target terminal access device accessing the initial distribution network; based on the evaluation information, dividing the second parameter information of the initial distribution network to obtain multiple information division layers; based on the multiple information division layers, determining the target terminal access device.

[0007] Optionally, the multiple information division layers include at least: a target layer and an intermediate layer, wherein the target layer is used to characterize the importance of the target terminal access device, and the intermediate layer is used to characterize the business information in the initial distribution network. Based on the multiple information division layers, the target terminal access device is determined, including: obtaining multiple first indicator weights of the target layer and multiple second indicator weights of the intermediate layer; generating a judgment matrix of the initial distribution network based on the multiple first indicator weights and the multiple second indicator weights; based on the verification condition of the judgment matrix, verifying the judgment matrix to obtain a verification result, wherein the verification result is used to characterize that the judgment matrix satisfies the verification condition; in response to the verification result, based on the objective function of the judgment matrix, the target terminal access device is determined, wherein the objective function is a function with the root mean square value in the judgment matrix as the constraint target.

[0008] Optionally, based on the first parameter information, the target terminal access device is controlled to access the initial distribution network to obtain the target distribution network, including: generating a device list of the target terminal access device based on the first parameter information; generating a target file of the target terminal access device based on the device list; and controlling the target terminal access device to access the initial distribution network based on the target file to obtain the target distribution network.

[0009] Optionally, in response to the target terminal access device successfully accessing the initial distribution network, according to the topology identification strategy, the target distribution network generates an application architecture of the target distribution network, including: in response to the target terminal access device successfully accessing the initial distribution network, obtaining a first initial voltage of the target substation in the target distribution network and a second initial voltage of the target device corresponding to the target user; performing dimensionless processing on the first initial voltage and the second initial voltage respectively to obtain a first target voltage corresponding to the first initial voltage and a second target voltage corresponding to the second initial voltage; determining a similarity coefficient based on a similarity function between the first target voltage and the second target voltage; and determining the application architecture of the target distribution network based on the similarity coefficient.

[0010] Optionally, based on the similarity coefficient, an application architecture of the target distribution network is determined, including: based on the similarity coefficient, using a correlation function of the first target voltage and the second target voltage to determine the correlation coefficient; using the correlation coefficient, identifying topological characteristics of multiple components in the target distribution network, and / or connection relationships between the multiple components; based on the topological characteristics and / or connection relationships, generating a topological structure of the target distribution network; based on the topological structure, generating an application architecture.

[0011] Optionally, after generating the application architecture, the method further includes: executing the resource adjustment policy in the application architecture to obtain an execution result, wherein the execution result is used to indicate whether the resource adjustment policy is successfully executed in the application architecture.

[0012] According to one aspect of an embodiment of the present invention, a device for generating an application architecture of a distribution network is provided. The device may include: a first acquisition unit, used to acquire first parameter information of a target terminal access device in an initial distribution network; a control unit, used to control the target terminal access device to access the initial distribution network based on the first parameter information to obtain a target distribution network; a generation unit, used to generate an application architecture of the target distribution network from the target distribution network in response to the target terminal access device successfully accessing the initial distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify the topological features of multiple components in the target distribution network, and / or the connection relationship between multiple components, and the application architecture is used to characterize the topological features of multiple components in the target distribution network, and / or the connection relationship between multiple components.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method in the embodiment of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a processor is provided. The processor is used to run a program, wherein the method in the embodiment of the present invention is executed when the program is run.

[0015] According to another aspect of the embodiments of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in the embodiments of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, an electronic device is provided, the electronic device comprising a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to execute the instructions to implement the method in the embodiment of the present invention.

[0017] In an embodiment of the present invention, first parameter information of a target terminal access device in an initial distribution network is obtained; based on the first parameter information, the target terminal access device is controlled to access the initial distribution network to obtain a target distribution network; in response to the target terminal access device successfully accessing the initial distribution network, the target distribution network is generated into an application architecture of the target distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify the topological characteristics of multiple components in the target distribution network, and / or the connection relationship between multiple components, and the application architecture is used to characterize the topological characteristics of multiple components in the target distribution network, and / or the connection relationship between multiple components. In other words, the embodiment of the present invention can first obtain the first parameter information of the target terminal access device in the initial distribution network, and then according to the first parameter information obtained above, the target terminal access device can be controlled to access the initial distribution network to achieve the purpose of obtaining the target distribution network, and finally when the target terminal access device successfully accesses the initial distribution network, the target distribution network is generated into an application architecture corresponding to the target distribution network according to the topology identification strategy. Considering that after obtaining the first parameter information of the target terminal access device in the initial distribution network, the target terminal access device can be controlled to access the initial distribution network according to the first parameter information to obtain the target distribution network, and then according to the topology identification strategy, an application architecture corresponding to the obtained target distribution network is generated. By utilizing the application architecture, the technical problem that the distribution network cannot process data in real time and effectively is solved, and the technical effect that the distribution network can process data in real time and effectively is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a method for generating an application architecture of a distribution network according to an embodiment of the present invention;

[0020] Figure 2 It is a flow chart of a method for generating an application architecture of distributed resources of a distribution network based on cloud-edge fusion according to an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of a distributed resource collaboration architecture of a distribution network based on cloud-edge integration according to an embodiment of the present invention;

[0022] Figure 4 is a schematic diagram of analyzing the importance of terminal devices using a hierarchical analysis method according to an embodiment of the present invention;

[0023] Figure 5 is a flow chart of a method for active registration of a terminal device according to an embodiment of the present invention;

[0024] Figure 6 is a schematic diagram of a device for generating an application architecture of a distribution network according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, a method for generating an application architecture of a distribution network is provided. It should be noted that in the flowchart of the accompanying drawings, the steps shown therein can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0028] The following is an introduction to a method for generating an application architecture of a distribution network according to an embodiment of the present invention.

[0029] Figure 1 is a flow chart of a method for generating an application architecture of a distribution network according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0030] Step S101, obtaining first parameter information of a target terminal access device in an initial distribution network.

[0031] In the technical solution provided in the above step S101 of the present invention, the first parameter information of the target terminal access device in the initial distribution network is obtained by using the distribution system of the initial distribution network. The target terminal access device may be an edge terminal device, such as a smart meter, a circuit breaker, a load switch, a smart socket, a smart meter, a smart charging pile, etc. The first parameter information is used to characterize parameters related to the target terminal access device, such as device model, network interface, device status, etc.

[0032] It can be understood that this is only a preferred implementation method for obtaining the first parameter information of the target terminal access device in the initial distribution network, and does not specifically limit the process and method for obtaining the first parameter information of the target terminal access device in the initial distribution network.

[0033] Step S102: Based on the first parameter information, control the target terminal access device to access the initial distribution network to obtain the target distribution network.

[0034] In the technical solution provided in the above step S102 of the present invention, after obtaining the first parameter information, the target terminal access device can be controlled to access the initial distribution network by automatic registration according to the first parameter information, so as to achieve the purpose of obtaining the target distribution network.

[0035] Optionally, the automatic registration method is used to represent that according to the application, the target terminal access device is instantiated to generate a target file, call the target file, and connect the device recorded in the target file to the initial distribution network to achieve the purpose of obtaining the target distribution network.

[0036] It should be noted that this is only a preferred implementation method for obtaining the target distribution network, and the process and method for obtaining the target distribution network are not specifically limited. As long as the process and method for obtaining the target distribution network are based on the first parameter information, they are within the protection scope of the present invention and will not be repeated here.

[0037] Step S103, in response to the target terminal access device successfully accessing the initial distribution network, generating an application architecture of the target distribution network from the target distribution network according to the topology identification strategy.

[0038] In the technical solution provided in step S103 of the present invention, when the target terminal access device successfully accesses the initial distribution network, the target distribution network can be generated into an application architecture of the target distribution network according to the topology identification strategy, and the application architecture obtained above can be used to realize rapid processing of the data of the distribution network, thereby improving security, reducing operating costs and enhancing user experience. Among them, the application architecture of the target distribution network can be referred to as the distribution network architecture.

[0039] Optionally, the topology identification strategy is used to identify the topological characteristics of multiple components in the target distribution network and / or the connection relationship between multiple components, and the application architecture is used to characterize the topological characteristics of multiple components in the target distribution network and / or the connection relationship between multiple components.

[0040] Optionally, the topology identification strategy is used to identify the topology in the target distribution network so as to obtain the topological structure of the target distribution network at that time, and generate the application architecture of the target distribution network according to the topological structure.

[0041] It should be noted that this is only a preferred implementation method for obtaining the application architecture of the target distribution network, and does not specifically limit the process and method for obtaining the application architecture of the target distribution network. As long as the target terminal access device is successfully connected to the initial distribution network, the process and method for generating the application architecture of the target distribution network from the target distribution network is within the protection scope of the present invention and will not be listed here.

[0042] In the above steps S101 to S103 of the present invention, the first parameter information of the target terminal access device in the initial distribution network can be first obtained, and then according to the first parameter information obtained above, the target terminal access device can be controlled to access the initial distribution network to achieve the purpose of obtaining the target distribution network. Finally, when the target terminal access device is successfully connected to the initial distribution network, according to the topology identification strategy, the target distribution network is generated into an application architecture corresponding to the target distribution network. Considering that after obtaining the first parameter information of the target terminal access device in the initial distribution network, the target terminal access device can be controlled to access the initial distribution network according to the first parameter information to obtain the target distribution network, and then according to the topology identification strategy, an application architecture corresponding to the obtained target distribution network is generated. By using this application architecture, the technical problem that the distribution network cannot effectively process data in real time is solved, and the technical effect that the distribution network can effectively process data in real time is achieved.

[0043] The above method of this embodiment is further introduced below.

[0044] As an optional implementation mode, before obtaining the first parameter information of the target terminal access device in the initial distribution network, the method also includes: obtaining evaluation information of the target terminal access device to be determined, wherein the evaluation information is used to evaluate the importance of the target terminal access device accessing the initial distribution network; based on the evaluation information, dividing the second parameter information of the initial distribution network to obtain multiple information division layers; based on the multiple information division layers, determining the target terminal access device.

[0045] In this embodiment, before obtaining the first parameter information of the target terminal access device in the initial distribution network, the evaluation information of the target terminal access device can be obtained, and then the second parameter information of the initial distribution network is divided by the hierarchical analysis method according to the evaluation information, so as to obtain multiple information division layers, and the purpose of determining the target terminal access device can be achieved according to the multiple information division layers. The hierarchical analysis method is to decompose the target problem into multiple levels, and then compare and evaluate these levels to finally obtain the optimal decision or solution.

[0046] Optionally, the second parameter information of the initial distribution network is used to characterize different types of parameter information related to different components, including: different types of terminal information, different business information in the distribution network, and information on the degree of importance of determining the terminal, etc. It should be noted that only examples are given here to illustrate the information type of the second parameter information of the initial distribution network, and the information type of the second parameter information of the initial distribution network is not specifically limited.

[0047] Optionally, based on the evaluation information and using the hierarchical analysis method, a hierarchical structure for evaluating the importance of edge terminal device access is constructed, and based on the hierarchical structure, the data contained in each structure is processed to achieve the purpose of determining the target terminal access device.

[0048] It should be noted that this is only a preferred implementation method for determining the target terminal access device, and does not specifically limit the process and method for determining the target terminal access device. As long as the process and method for determining the target terminal access device are based on the evaluation information of the target terminal access device obtained, they are within the scope of protection of the present invention and are not listed here.

[0049] As an optional implementation method, multiple information division layers include at least: a target layer and an intermediate layer, wherein the target layer is used to characterize the importance of the target terminal access device, and the intermediate layer is used to characterize the business information in the initial distribution network. Based on the multiple information division layers, the target terminal access device is determined, including: obtaining multiple first indicator weights of the target layer and multiple second indicator weights of the intermediate layer; generating a judgment matrix of the initial distribution network based on the multiple first indicator weights and the multiple second indicator weights; based on the verification condition of the judgment matrix, verifying the judgment matrix to obtain a verification result, wherein the verification result is used to characterize that the judgment matrix satisfies the verification condition; in response to the verification result, based on the objective function of the judgment matrix, the target terminal access device is determined, wherein the objective function is a function with the root mean square value in the judgment matrix as the constraint target.

[0050] In this embodiment, multiple information division layers may include: a target layer, an intermediate layer and a factor layer. First, multiple first indicator weights of the target layer and multiple second indicator weights of the intermediate layer can be obtained, and then the judgment matrix of the initial distribution network is generated according to the multiple first indicator weights and multiple second indicator weights obtained above. Then, according to the verification conditions of the judgment matrix, the judgment matrix is ​​verified to obtain the verification result. Finally, according to the verification result and the objective function of the judgment matrix, the purpose of determining the target terminal access device is achieved.

[0051] Optionally, the factor layer corresponds to different types of terminals, including distribution terminals, distribution transformer terminals, feeder terminals and distributed new energy terminals; the middle layer corresponds to different businesses in distribution objects, including electricity consumption information collection business module, production management business module, environmental monitoring business module, distributed system control module, relay protection business module and distribution automation business module; the target layer is used to determine the importance of the terminal, and arrange them in descending order according to the importance, to ensure that target terminals with high importance are accessed by the access device.

[0052] Optionally, a measurement tool (reciprocal 1-9 scale) is used to compare the importance of each element in the intermediate layer and the target layer to obtain multiple comparison results, which are marked as a ij , the judgment matrix can be determined by multiple comparison results. ij It can also be used to characterize the weights of indicators in different layers. The judgment matrix can be represented by A, which is denoted as A = [a ij ].

[0053] Optionally, the verification condition is used to represent a consistency check performed on the judgment matrix according to a defined consistency ratio.

[0054] Among them, the consistency ratio can be obtained by C R To express it, it is:

[0055]

[0056] In the above formula, λ max It is used to represent the maximum eigenvalue of matrix A; n is used to represent the order of matrix A; R 1 The index used to represent the average random consistency is obtained by randomly constructing the judgment matrix A and calculating it as follows:

[0057]

[0058] In the above formula, K is used to represent the number of constructed random judgment matrices. R<0.1, it means that the judgment matrix A generated at this time meets the consistency requirements; for the judgment matrix that does not meet the consistency check, it is necessary to adjust the measurement indicators until the consistency check conditions are met.

[0059] Optionally, the objective function is a function that takes the minimum root mean square value in the judgment matrix as a constraint target. For example, taking the minimum root mean square value of the adjustment range of the elements in the judgment matrix A as the target, the adjustment problem of the matrix A is modeled as a constrained optimization problem using the following formula:

[0060]

[0061] In the above formula, a ij and a' ij They are used to represent the values ​​of the elements before and after the adjustment respectively; a ij and They are used to represent the minimum and maximum values ​​of the element's index.

[0062] Optionally, obtain the maximum eigenvalue of the judgment matrix and the eigenvector corresponding to the maximum eigenvalue; determine the target values ​​of multiple terminal devices based on the objective function, the maximum eigenvalue and the eigenvector corresponding to the maximum eigenvalue, wherein the target value is used to characterize the importance of the terminal device; and determine the target terminal access device from the multiple terminal devices based on the target value.

[0063] For example, let [δ l1 ,δ l2 ,....,δ ln ] T The eigenvector corresponding to the maximum eigenvalue of the judgment matrix of the lth distribution network business in the middle layer determined by the factor layer; [Δ 1 , Δ 2 ,...,Δ n ] T is the eigenvector corresponding to the maximum eigenvalue of the judgment matrix of the target layer determined by the intermediate layer, then the importance of the terminal node k is defined as:

[0064]

[0065] In the above formula, M k It is used to indicate the importance of the terminal. The importance value is used to sort multiple edge-side intelligent converged terminals in descending order, and the number of terminals allowed to access is determined based on their own carrying capacity.

[0066] As an optional implementation method, based on the first parameter information, the target terminal access device is controlled to access the initial distribution network to obtain the target distribution network, including: based on the first parameter information, generating a device list of the target terminal access device; based on the device list, generating a target file of the target terminal access device; based on the target file, controlling the target terminal access device to access the initial distribution network to obtain the target distribution network.

[0067] In this embodiment, according to the first parameter information, a device list of the target terminal access device can be generated, and then according to the device list obtained above, a target file of the target terminal access device is generated. According to the target file, the target terminal access device is connected to the initial distribution network to achieve the purpose of obtaining the target distribution network. Among them, the device list can be called a secondary device list. The target file can be represented by an ICD file.

[0068] Optionally, after obtaining the first parameter information, an automatic registration method can be used to connect the target terminal access device to the initial distribution network so as to achieve the purpose of obtaining the target distribution network, wherein the process of the automatic registration method includes: after the low-voltage device is installed and the unique identifier (PMS_ID) of the device is entered, the Internet Protocol address (IP address), device type, device PMS_ID self-description information, etc. of the device are actively reported to the edge terminal, and a registration request is sent; after receiving the registration request, the edge terminal performs mapping and matching based on the PMS_ID and other information of the device, completes the model instantiation of the low-voltage device, and generates a list of secondary devices that are successfully mapped; the secondary device is instantiated by the acquisition application in the terminal to generate an ICD file;

[0069] Furthermore, the substation terminal uploads the ICD file to the cloud-side master station; the cloud-side master station checks whether all primary and secondary devices are mapped successfully, and if successful, sends confirmation information to each edge-side terminal; otherwise, the error information is pushed to the cloud-side master station, which sends an operation and maintenance work order to the operation and maintenance personnel for confirmation, and repeats the above operations until there is no list of mapping failures; after the device mapping is completed, the registration result is replied by the substation terminal and sent to the device, and the device completes instant access and starts to provide services.

[0070] As an optional implementation method, in response to the target terminal access device successfully accessing the initial distribution network, according to the topology identification strategy, the target distribution network generates an application architecture of the target distribution network, including: in response to the target terminal access device successfully accessing the initial distribution network, obtaining a first initial voltage of the target substation in the target distribution network and a second initial voltage of the target device corresponding to the target user; performing dimensionless processing on the first initial voltage and the second initial voltage respectively to obtain a first target voltage corresponding to the first initial voltage and a second target voltage corresponding to the second initial voltage; determining a similarity coefficient based on a similarity function between the first target voltage and the second target voltage; and determining the application architecture of the target distribution network based on the similarity coefficient.

[0071] In this embodiment, if the target terminal access device is successfully connected to the initial distribution network, the first initial voltage of the target area in the target distribution network and the second initial voltage of the target device corresponding to the target user can be obtained first, and then the first initial voltage and the second initial voltage are dimensionlessly processed respectively to obtain the first target voltage and the second target voltage, and then according to the similarity function between the first target voltage and the second target voltage, the purpose of determining the similarity coefficient can be achieved, and finally according to the similarity coefficient, the application architecture of the target distribution network can be determined. Among them, the target area can be a preset low-voltage side area. The target user can be referred to as a user.

[0072] Optionally, in accordance with the topology identification strategy, the process of generating the target distribution network application architecture from the target distribution network is as follows: using the power line as the communication carrier, based on the industrial frequency distortion communication technology, a communication channel is established between the low-voltage smart meter and the low-voltage transformer, the terminal area identification application sends the signal identified by the monitoring terminal broadcast area to the branch box of the transformer; the branch box distribution network monitoring terminal actively reports the registration information to the edge side terminal, and the edge side terminal stores the information locally; the edge side terminal sends a pulse voltage signal in a polling manner, and then the edge side terminal collects the voltage signal of the distribution network monitoring terminal of each branch box through broadband carrier technology; the edge side terminal executes the topology identification algorithm to realize the identification of the topological relationship in the distribution network step by step.

[0073] Optionally, the first initial voltage can be provided by U i 'To express, and U i '={U' i (1),…,U' i (N)}. The second initial voltage can be j " is expressed, and u' j '={u' j '(1),…,u' j '(N)}.

[0074] Optionally, the first initial voltage and the second initial voltage are dimensionlessly processed, as shown in the following formula:

[0075]

[0076] In the above formula, i is used to represent the number of the transformer, j is used to represent the number of the terminal device, and k=1,2,...,N.

[0077] Optionally, a similarity coefficient between the first target voltage and the second target voltage is obtained according to the similarity function. For example, the similarity coefficients of the voltage fluctuations at the user side and the station side are calculated, and the calculation method of the similarity coefficient is expressed by the following formula:

[0078]

[0079] In the above formula, σ is used to represent the resolution coefficient, which is 0.5, and Δu ij (k)=|u′ j ′(k)-U j ′(k)|.

[0080] As an optional implementation method, based on the similarity coefficient, the application architecture of the target distribution network is determined, including: based on the similarity coefficient, using the correlation function of the first target voltage and the second target voltage to determine the correlation coefficient; using the correlation coefficient, identifying the topological characteristics of multiple components in the target distribution network, and / or the connection relationship between the multiple components; based on the topological characteristics and / or the connection relationship, generating the topological structure of the target distribution network; based on the topological structure, generating the application architecture.

[0081] In this embodiment, according to the similarity coefficient obtained in the above steps, the correlation function of the first target voltage and the second target voltage can be used to determine the correlation coefficient; and based on the correlation coefficient, the topological characteristics of multiple components in the target distribution network and / or the connection relationship between the multiple components are identified, and based on the topological characteristics and / or the connection relationship, the topological structure of the target distribution network is generated, and then based on the topological structure, the purpose of generating an application architecture is achieved.

[0082] Optionally, after obtaining the similarity coefficient, the correlation coefficient can be determined according to a preset correlation function. The correlation coefficient can be referred to as correlation. For example, based on the similarity coefficient, the correlation coefficient of the voltage fluctuations on the user side and the station side is calculated, which can be expressed by the following formula:

[0083]

[0084] In the above formula, Used to represent the correlation coefficient.

[0085] Furthermore, after obtaining the correlation coefficient, the topological relationship is identified according to the correlation. For example, if the correlation between the j-th terminal device and the i-th transformer voltage is the highest, it is determined that the terminal device belongs to the i-th station area.

[0086] As an optional implementation mode, after generating the application architecture, the method further includes: executing the resource adjustment policy in the application architecture to obtain an execution result, wherein the execution result is used to indicate whether the resource adjustment policy is successfully executed in the application architecture.

[0087] In this embodiment, after obtaining the application architecture, the resource adjustment strategy can be executed in the application architecture to obtain the execution result. The resource adjustment strategy can include a bottom-up distributed resource adjustment strategy and a top-down distributed resource adjustment strategy.

[0088] Optionally, the process of the bottom-up distributed resource regulation strategy is as follows: the device on the user side collects distributed photovoltaic data, charging pile data, distributed energy storage and other user data in the local control center and uploads them to the edge side in real time. The edge node uses real-time data or historical data and the following multiple strategies to complete distributed resource regulation, where the multiple strategies include: regional distributed photovoltaic regulation strategy, regional distributed energy storage regulation strategy and regional electric vehicle orderly charging strategy; then, each edge node uploads the regional strategy and related data to the cloud center, and the cloud center further optimizes the regional strategy from multiple angles according to the power consumption conditions of each region to complete distributed energy storage regulation, distributed photovoltaic regulation and orderly charging of electric vehicles.

[0089] Optionally, the top-down distributed resource regulation strategy process is as follows: the cloud center is responsible for formulating the global control strategy, broadcasting the global control strategy to all distributed resources, and distributing the distributed energy storage devices with edge nodes as the smallest unit to each edge node according to the control strategy; the edge nodes adjust their own decisions according to the optimization results of the upper level, and finally entrust the control decisions that meet the global and regional requirements to the users; the edge nodes also obtain a variety of recommended strategies for different types of distributed resources in the region, and entrust them to the user's control center; the device end on the user side can use the strategy to form the optimal strategy for local distributed resource regulation according to its own operational constraints and regional decisions, and finally complete the local response by controlling the operating status of each device.

[0090] In this embodiment, after the application architecture is generated, a distributed resource collaboration architecture of the distribution network based on cloud-edge fusion can be constructed. The distributed resource collaboration architecture of the distribution network based on cloud-edge fusion includes: cloud end, edge end and device end. Among them, the cloud end includes the power dispatching center, the power grid data platform and the power grid cloud platform.

[0091] Optionally, the edge includes communication base stations, edge servers, electric vehicles, distributed photovoltaic equipment, distributed energy storage aggregators, etc. On the edge, the resources in the region are adjusted and optimized based on artificial intelligence, and the optimization model is installed in the cloud to achieve coordination between regions; the data uploaded by the user layer is analyzed and processed based on data preprocessing, and the processed data is encrypted and recorded in the block using blockchain technology, and the block verification is performed through decentralized collaborative processing to ensure data security.

[0092] Optionally, the device side includes smart sensors, energy routers, controllers and power IoT terminals. The relevant equipment is installed on various electrical equipment such as distributed photovoltaic equipment, electric vehicle charging piles, distributed energy storage equipment, etc., and the above equipment is used to collect power data and upload it to the edge side through the local communication network.

[0093] Optionally, the user layer based on artificial intelligence technology can optimize the scheduling of local communication, computing and other resources, and install the local model to the cloud to provide a basis for synchronous data processing. At the same time, data encryption technology realizes secure terminal access and data transmission.

[0094] In this embodiment, the first parameter information of the target terminal access device in the initial distribution network can be obtained first, and then according to the first parameter information obtained above, the target terminal access device can be controlled to access the initial distribution network to achieve the purpose of obtaining the target distribution network. Finally, when the target terminal access device successfully accesses the initial distribution network, according to the topology identification strategy, the target distribution network generates an application architecture corresponding to the target distribution network. Considering that after obtaining the first parameter information of the target terminal access device in the initial distribution network, the target terminal access device can be controlled to access the initial distribution network according to the first parameter information to obtain the target distribution network, and then according to the topology identification strategy, the application architecture corresponding to the obtained target distribution network is generated. By using this application architecture, the technical problem that the distribution network cannot effectively process data in real time is solved, and the technical effect that the distribution network can effectively process data in real time is achieved.

[0095] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0096] With the rapid development of new energy equipment, energy storage equipment and electric vehicles, as well as the deepening of power system reform, the distributed resources of the distribution network are not only energy consumers, but also participants in energy production, management and trading. However, the application of distributed resources in the distribution network, especially the flexible and adjustable resources on electric vehicles or distributed photovoltaic equipment, has a small amount of data, making it difficult for traditional power grids to store and process this data in a timely and effective manner, and the data in the distributed resources of the distribution network is usually relatively isolated in the data flow.

[0097] At present, cloud computing technology can be used in distribution networks to process data in distribution networks. For example, the distributed resource data of the distribution network collected by terminal devices can be collected in the data center for processing and application. However, the above method leads to the technical problem that the distribution network cannot process data effectively in real time.

[0098] Therefore, in order to solve the above problems, the present invention proposes a method for generating an application architecture of distributed resources of a distribution network based on cloud-edge fusion, and the process of the method is: first clarify the research object, that is, to build a distributed resource collaboration architecture of a distribution network based on cloud-edge fusion; construct a bidirectional business flow of distributed resources of a distribution network based on cloud-edge fusion; use a hierarchical analysis method to evaluate the importance of edge terminal device access; use an automatic registration method to achieve instant access of edge terminal devices; use a topology identification algorithm to perform topology identification on the distribution network connected to the edge-side intelligent terminal to obtain a topological structure; generate an application architecture based on the topological structure, and use the application architecture to solve the technical problem that the distribution network cannot process data in real time and effectively, and achieve the technical effect that the distribution network can process data in real time and effectively.

[0099] Figure 2 is a flow chart of a method for generating an application architecture of distributed resources in a distribution network based on cloud-edge fusion according to an embodiment of the present invention. Figure 2 As shown, the method mainly includes the following steps:

[0100] Step S201, construct a distributed resource collaboration architecture for the distribution network based on cloud-edge integration.

[0101] In this embodiment, it is necessary to build a distributed resource collaboration architecture for distribution networks based on cloud-edge integration. Figure 3 is a schematic diagram of a distributed resource collaboration architecture of a distribution network based on cloud-edge fusion according to an embodiment of the present invention, such as Figure 3 As shown, the distributed resource collaboration architecture of the distribution network based on cloud-edge integration includes: cloud 301, edge 302 and device 303. Among them, cloud 301 includes: power dispatching center 3011, power grid data platform 3012 and power grid cloud platform 3013. Edge 302 includes: communication base station 3021, edge server 3022, electric vehicle 3023, distributed photovoltaic equipment 3024 and distributed energy storage aggregator 3025. Device 303 includes: smart sensor 3031, energy router 3032, controller 3033 and power Internet of Things terminal 3034.

[0102] Optionally, the cloud and edge can achieve remote communication, and the edge and device can achieve local communication.

[0103] Optionally, at the edge, resources within the region are adjusted and optimized based on artificial intelligence, and the optimization model is installed on the cloud to achieve coordination between regions. The data uploaded by the user layer is analyzed and processed based on data preprocessing, and the processed data is encrypted and recorded in the block using blockchain technology. Block verification is performed through decentralized collaborative processing to ensure data security.

[0104] Optionally, on the device side, the relevant equipment is installed on various electrical equipment such as distributed photovoltaic equipment, electric vehicle charging piles, distributed energy storage equipment, etc., and the above-mentioned equipment is used to collect power data and upload it to the edge through the local communication network.

[0105] Optionally, the user layer based on artificial intelligence technology can optimize the scheduling of local communication, computing and other resources, and install the local model to the cloud to provide a basis for synchronous data processing. At the same time, data encryption technology realizes secure terminal access and data transmission.

[0106] Step S202, construct a bidirectional business flow of distributed resources in the distribution network based on cloud-edge integration.

[0107] In this embodiment, a bidirectional business flow of distributed resources in the distribution network based on cloud-edge integration can be constructed, and the above bidirectional business flow is implemented through two strategies: a bottom-up distributed resource regulation strategy and a top-down distributed resource regulation strategy.

[0108] Optionally, the process of the bottom-up distributed resource regulation strategy is as follows: the device on the user side collects distributed photovoltaic data, charging pile data, distributed energy storage and other user data in the local control center and uploads them to the edge side in real time. The edge node uses real-time data or historical data and the following multiple strategies to complete distributed resource regulation, where the multiple strategies include: regional distributed photovoltaic regulation strategy, regional distributed energy storage regulation strategy and regional electric vehicle orderly charging strategy; then, each edge node uploads the regional strategy and related data to the cloud center, and the cloud center further optimizes the regional strategy from multiple angles according to the power consumption conditions of each region to complete distributed energy storage regulation, distributed photovoltaic regulation and orderly charging of electric vehicles.

[0109] Optionally, the top-down distributed resource regulation strategy process is as follows: the cloud center is responsible for formulating the global control strategy, broadcasting the global control strategy to all distributed resources, and distributing the distributed energy storage devices with edge nodes as the smallest unit to each edge node according to the control strategy; the edge nodes adjust their own decisions according to the optimization results of the upper level, and finally entrust the control decisions that meet the global and regional requirements to the users; the edge nodes also obtain a variety of recommended strategies for different types of distributed resources in the region, and entrust them to the user's control center; the device end on the user side can use the strategy to form the optimal strategy for local distributed resource regulation according to its own operational constraints and regional decisions, and finally complete the local response by controlling the operating status of each device.

[0110] Step S203: Use the hierarchical analysis method to evaluate the importance of the connected edge terminal device.

[0111] In this embodiment, the hierarchical analysis method may be used to evaluate the importance of the connected edge terminal devices, so as to determine the terminal devices that need to be connected to the power distribution network.

[0112] Optionally, Figure 4 This is a schematic diagram of analyzing the importance of terminal devices using the hierarchical analysis method according to an embodiment of the present invention. As shown in the figure, the schematic diagram includes: a factor layer 401, an intermediate layer 402 and a target layer 403.

[0113] Optionally, the factor layer 401 corresponds to different types of terminals, including distribution terminals 4011, distribution transformer terminals 4012, feeder terminals 4013 and distributed new energy terminals 4014; the middle layer 402 corresponds to different businesses in the distribution objects, including electricity consumption information collection business module 4021, production management business module 4022, environmental monitoring business module 4023, relay protection business module 4024, distribution automation business module 4025 and distributed system control module 4026; the target layer 403 includes an underlying terminal importance determination module 4031, which is used to determine the importance of the terminal, arrange them in descending order according to the importance, and ensure the access of target terminals with high importance to access devices.

[0114] Optionally, the process of evaluating the importance of edge terminal device access using the hierarchical analysis method is as follows: determine the weight of each indicator, use a measurement tool (reciprocal 1-9 scale) to compare the importance of each element of the intermediate layer and the target layer, obtain multiple comparison results, and mark the comparison results as a ij , and let A=[a ij ] is the judgment matrix of this layer; consistency check, using the following formula for consistency check: that is:

[0115]

[0116] In the above formula, λ max It is used to represent the maximum eigenvalue of matrix A; n is used to represent the order of matrix A; R 1 The index used to represent the average random consistency is obtained by randomly constructing the judgment matrix A and calculating it as follows:

[0117]

[0118] In the above formula, K is used to represent the number of constructed random judgment matrices. R <0.1, it means that the judgment matrix A generated at this time meets the consistency requirements; for the judgment matrix that does not meet the consistency check, it is necessary to adjust the measurement indicators until the consistency check conditions are met.

[0119] Furthermore, after the consistency check is performed, overall modeling is required: with the goal of determining the minimum root mean square value of the adjustment amplitude of the elements in matrix A, the adjustment problem of matrix A is modeled as a constrained optimization problem using the following formula:

[0120]

[0121] In the above formula, a ij and a' ij They are used to represent the values ​​of the elements before and after the adjustment respectively; a ij and They are used to represent the minimum and maximum values ​​of the element's index.

[0122] Furthermore, after performing the overall modeling, it is necessary to determine the importance of the terminal equipment: Let [δ l1, δ l2 ,....,δ ln ] T The eigenvector corresponding to the maximum eigenvalue of the judgment matrix of the lth distribution network business in the middle layer determined by the factor layer; [Δ 1 , Δ 2 ,...,Δ n ] T is the eigenvector corresponding to the maximum eigenvalue of the judgment matrix of the target layer determined by the intermediate layer, then the importance of the terminal node k is defined as:

[0123]

[0124] In the above formula, M k It is used to indicate the importance of the terminal. The importance value is used to sort multiple edge-side intelligent converged terminals in descending order, and the number of terminals allowed to access is determined based on their own carrying capacity.

[0125] Step S204: adopting an automatic registration method to achieve instant access of the edge terminal device.

[0126] In this embodiment, after the importance of the edge terminal device is determined, an automatic registration method may be used to achieve instant access to the edge terminal device. Figure 5 is a flow chart of a method for active registration of a terminal device according to an embodiment of the present invention. Figure 5 As shown, the main steps of the method are as follows:

[0127] Step S501, input the unique identifier of the device.

[0128] In this embodiment, after the wiring is installed in the power distribution network, the unique identifier PMS_ID of the device is entered.

[0129] Step S502, according to the unique identifier of the device, a mapping process is performed using the model to obtain a mapping list.

[0130] In this embodiment, mapping processing is performed using a model according to a unique identifier of the device to achieve the purpose of obtaining a mapping list, wherein the mapping list can be a failure list and a success list.

[0131] Step S503: Generate a target file based on the mapping list.

[0132] In this embodiment, a target file may be generated according to the obtained mapping list, wherein the target file may be an ICD file.

[0133] Step S504, determining whether the device is mapped successfully.

[0134] In this embodiment, whether the device mapping is successful is determined based on the ICD file, and if successful, step S505 is executed; if failed, step S501 is executed.

[0135] Step S505: confirm the access device at the edge.

[0136] Step S506: confirm the access device at the device end.

[0137] In this embodiment, the process of using the automatic registration method to achieve instant access to the edge terminal device is as follows: after the low-voltage device is installed and the unique identifier (PMS_ID) of the device is entered, the Internet Protocol address (IP address), device type, device PMS_ID self-description information, etc. of the device are actively reported to the edge terminal, and a registration request is sent; after receiving the registration request, the edge terminal performs mapping and matching based on the PMS_ID and other information of the device, completes the model instantiation of the low-voltage device, and generates a list of secondary devices that are successfully mapped; the secondary device is instantiated by the acquisition application in the terminal to generate an ICD file;

[0138] Furthermore, the substation terminal uploads the ICD file to the cloud-side master station; the cloud-side master station checks whether all primary and secondary devices are mapped successfully, and if successful, sends confirmation information to each edge-side terminal; otherwise, the error information is pushed to the cloud-side master station, which sends an operation and maintenance work order to the operation and maintenance personnel for confirmation, and repeats the above operations until there is no list of mapping failures; after the device mapping is completed, the registration result is replied by the substation terminal and sent to the device, and the device completes instant access and starts to provide services.

[0139] Step S205, using a topology identification algorithm to perform topology identification on the distribution network connected to the edge-side intelligent terminal, obtaining a topology structure, and generating an application architecture based on the topology structure.

[0140] In this embodiment, a topology identification algorithm may be used to perform topology identification on the distribution network connected to the edge-side intelligent terminal, so as to obtain the topological structure, and then generate an application architecture based on the obtained topological structure.

[0141] Optionally, after the distribution network is connected to the edge side terminal, the process of topology identification of the distribution network at this time is: using the power line as the communication carrier, based on the industrial frequency distortion communication technology, a communication channel is established between the low-voltage smart meter and the low-voltage transformer, the terminal area identification application sends the signal identified by the monitoring terminal broadcast area to the branch box of the transformer; the branch box distribution network monitoring terminal actively reports the registration information to the edge side terminal, and the edge side terminal saves the information locally; the edge side terminal sends a pulse voltage signal in a polling manner, and then the edge side terminal collects the voltage signal of the distribution network monitoring terminal of each branch box through broadband carrier technology; the edge side terminal executes the topology identification algorithm to realize the identification of the topological relationship in the distribution network step by step.

[0142] Optionally, after the distribution network is connected to the edge terminal, the topology identification algorithm is used to perform topology identification. The execution process is as follows: by adjusting the transformer, the fluctuation amplitude of the substation voltage is changed, and the low-voltage side voltage value U′ is collected. i ={U' i (1),…,U' i (N)}, and the user side voltage value u″ j ={u″ j (1),…,u″ j (N)}; the voltage obtained above is dimensionless, as shown in the following formula:

[0143]

[0144]

[0145] In the above formula, i is used to represent the number of the transformer, j is used to represent the number of the terminal device, and k=1,2,...,N.

[0146] Further, the similarity coefficients of the voltage fluctuations on the user side and the transformer side are calculated, and the calculation method of the similarity coefficient is expressed by the following formula:

[0147]

[0148] In the above formula, σ is used to represent the resolution coefficient, which is 0.5, and Δu ij (k)=|u′ j ′(k)-U j ′(k)|. Based on the similarity coefficient, the correlation coefficient of the voltage fluctuations on the user side and the substation side is calculated, which can be expressed by the following formula:

[0149]

[0150] In the above formula, Used to represent the correlation coefficient. After the correlation coefficient is obtained, the topological relationship is identified according to the correlation. For example, if the correlation between the j-th terminal device and the i-th transformer voltage is the highest, then the terminal device is determined to belong to the i-th station area.

[0151] In this embodiment, the first parameter information of the target terminal access device in the initial distribution network can be obtained first, and then according to the first parameter information obtained above, the target terminal access device can be controlled to access the initial distribution network to achieve the purpose of obtaining the target distribution network. Finally, when the target terminal access device successfully accesses the initial distribution network, according to the topology identification strategy, the target distribution network generates an application architecture corresponding to the target distribution network. Considering that after obtaining the first parameter information of the target terminal access device in the initial distribution network, the target terminal access device can be controlled to access the initial distribution network according to the first parameter information to obtain the target distribution network, and then according to the topology identification strategy, the application architecture corresponding to the obtained target distribution network is generated. By using this application architecture, the technical problem that the distribution network cannot effectively process data in real time is solved, and the technical effect that the distribution network can effectively process data in real time is achieved.

[0152] According to an embodiment of the present invention, a device for generating an application architecture of a distribution network is provided. It should be noted that the device for generating an application architecture of a distribution network can be used to execute a method for generating an application architecture of a distribution network in an embodiment.

[0153] Figure 6 Schematic diagram of a device for generating an application architecture of a distribution network according to an embodiment of the present invention. Figure 6As shown, a device 600 for generating an application architecture of a power distribution network may include: a first acquisition unit 601 , a control unit 602 , and a generation unit 603 .

[0154] The first acquisition unit 601 is used to acquire first parameter information of a target terminal access device in an initial distribution network.

[0155] The control unit 602 is used to control the target terminal access device to access the initial distribution network based on the first parameter information to obtain the target distribution network.

[0156] A generation unit 603 is used to generate an application architecture of the target distribution network from the target distribution network in response to the target terminal access device successfully accessing the initial distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify the topological characteristics of multiple components in the target distribution network and / or the connection relationship between multiple components, and the application architecture is used to characterize the topological characteristics of multiple components in the target distribution network and / or the connection relationship between multiple components.

[0157] Optionally, the device may also include: a first acquisition module, used to obtain evaluation information of the target terminal access device to be determined, wherein the evaluation information is used to evaluate the importance of the target terminal access device in accessing the initial distribution network; a division module, used to divide the second parameter information of the initial distribution network based on the evaluation information to obtain multiple information division layers; a first determination module, used to determine the target terminal access device based on the multiple information division layers.

[0158] Optionally, the multiple information division layers include at least: a target layer and an intermediate layer, wherein the target layer is used to characterize the importance of the target terminal access device, and the intermediate layer is used to characterize the business information in the initial distribution network. The first determination module may include: a first acquisition submodule, used to obtain multiple first indicator weights of the target layer, and multiple second indicator weights of the intermediate layer; a first generation submodule, used to generate a judgment matrix of the initial distribution network based on multiple first indicator weights and multiple second indicator weights; a second acquisition submodule, used to verify the judgment matrix based on the verification condition of the judgment matrix to obtain a verification result, wherein the verification result is used to characterize that the judgment matrix satisfies the verification condition; a first determination submodule, used to determine the target terminal access device based on the objective function of the judgment matrix in response to the verification result, wherein the objective function is a function with the root mean square value in the judgment matrix as the constraint target.

[0159] Optionally, the control unit 602 may include: a first generation module, used to generate a device list of the target terminal access device based on the first parameter information; a second generation module, used to generate a target file of the target terminal access device based on the device list; and an access module, used to control the target terminal access device to access the initial distribution network based on the target file to obtain the target distribution network.

[0160] Optionally, the generation unit 603 may include: a second acquisition module, used to obtain a first initial voltage of a target substation in the target distribution network and a second initial voltage of a target device corresponding to a target user in response to the target terminal access device successfully accessing the initial distribution network; a second acquisition module, used to perform dimensionless processing on the first initial voltage and the second initial voltage, respectively, to obtain a first target voltage corresponding to the first initial voltage and a second target voltage corresponding to the second initial voltage; a second determination module, used to determine a similarity coefficient based on a similarity function between the first target voltage and the second target voltage; and a third determination module, used to determine an application architecture of the target distribution network based on the similarity coefficient.

[0161] Optionally, the third determination module may include: a second determination submodule, used to determine the correlation coefficient based on the similarity coefficient and using the correlation function of the first target voltage and the second target voltage; an identification submodule, used to identify the topological characteristics of multiple components in the target distribution network and / or the connection relationship between the multiple components using the correlation coefficient; a second generation submodule, used to generate the topological structure of the target distribution network based on the topological characteristics and / or the connection relationship; and a third generation submodule, used to generate an application architecture based on the topological structure.

[0162] Optionally, after generating the application architecture, the device further includes: an execution unit, used to execute the resource adjustment policy in the application architecture to obtain an execution result, wherein the execution result is used to characterize whether the resource adjustment policy is successfully executed in the application architecture.

[0163] In this embodiment, first parameter information of a target terminal access device in the initial distribution network is acquired by a first acquisition unit; the control unit controls the target terminal access device to access the initial distribution network based on the first parameter information to obtain a target distribution network; in response to the target terminal access device successfully accessing the initial distribution network, a generation unit generates an application architecture of the target distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify topological features of multiple components in the target distribution network, and / or the connection relationship between multiple components, and the application architecture is used to characterize topological features of multiple components in the target distribution network, and / or the connection relationship between multiple components, so as to solve the technical problem that the distribution network cannot effectively process data in real time and achieve the technical effect that the distribution network can effectively process data in real time.

[0164] According to an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored program, wherein when the program is executed by a processor, the device where the readable storage medium is located is controlled to execute the method for generating an application architecture of a distribution network in the embodiment.

[0165] According to an embodiment of the present invention, a processor is further provided, the processor being used to run a program, wherein the method for generating an application architecture of a power distribution network in the embodiment is executed when the program is run.

[0166] According to an embodiment of the present invention, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the method for generating an application architecture of a distribution network in an embodiment of the present invention is implemented.

[0167] According to an embodiment of the present invention, an electronic device is also provided, the electronic device comprising a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to execute instructions to implement the method for generating an application architecture of a power distribution network in an embodiment of the present invention.

[0168] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0169] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0170] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0171] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0172] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0173] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0174] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for generating an application architecture of a distribution network, characterized in that: include: Acquire first parameter information of a target terminal access device in an initial distribution network; Based on the first parameter information, controlling the target terminal access device to access the initial distribution network to obtain a target distribution network; In response to the target terminal access device successfully accessing the initial distribution network, the target distribution network is generated into an application architecture of the target distribution network according to a topology identification strategy, wherein the topology identification strategy is used to identify the topological characteristics of multiple components in the target distribution network and / or the connection relationship between the multiple components, and the application architecture is used to characterize the topological characteristics of the multiple components in the target distribution network and / or the connection relationship between the multiple components.

2. The method according to claim 1, characterized in that in, Before obtaining the first parameter information of the target terminal access device in the initial distribution network, the method further includes: Acquire evaluation information of the target terminal access device to be determined, wherein the evaluation information is used to evaluate the importance of the target terminal access device accessing the initial distribution network; Based on the evaluation information, dividing the second parameter information of the initial power distribution network to obtain a plurality of information division layers; Based on the multiple information division layers, the target terminal access device is determined.

3. The method according to claim 2, characterized in that The multiple information division layers at least include: a target layer and an intermediate layer, wherein the target layer is used to characterize the importance of the target terminal access device, and the intermediate layer is used to characterize the service information in the initial distribution network. Based on the multiple information division layers, determining the target terminal access device includes: Obtaining a plurality of first indicator weights of the target layer and a plurality of second indicator weights of the intermediate layer; Based on a plurality of the first indicator weights and a plurality of the second indicator weights, generating a judgment matrix of the initial distribution network; Based on the verification condition of the judgment matrix, the judgment matrix is ​​verified to obtain a verification result, wherein the verification result is used to indicate that the judgment matrix satisfies the verification condition; In response to the verification result, the target terminal access device is determined based on the objective function of the judgment matrix, wherein the objective function is a function that uses the root mean square value in the judgment matrix as a constraint target.

4. The method according to claim 1, characterized in that: Based on the first parameter information, controlling the target terminal access device to access the initial distribution network to obtain a target distribution network includes: Based on the first parameter information, generating a device list of the target terminal access device; Based on the device list, generating a target file for the target terminal access device; Based on the target file, the target terminal access device is controlled to access the initial distribution network to obtain the target distribution network.

5. The method according to claim 1, characterized in that In response to the target terminal access device successfully accessing the initial distribution network, generating the target distribution network application architecture according to the topology identification strategy, including: In response to the target terminal access device successfully accessing the initial distribution network, obtaining a first initial voltage of a target substation in the target distribution network and a second initial voltage of a target device corresponding to a target user; Performing dimensionless processing on the first initial voltage and the second initial voltage respectively to obtain a first target voltage corresponding to the first initial voltage and a second target voltage corresponding to the second initial voltage; determining a similarity coefficient based on a similarity function between the first target voltage and the second target voltage; Based on the similarity coefficient, an application architecture of the target power distribution network is determined.

6. The method according to claim 5, characterized in that Based on the similarity coefficient, determining the application architecture of the target distribution network includes: Based on the similarity coefficient, determining a correlation coefficient using a correlation function of the first target voltage and the second target voltage; Using the correlation coefficient, identifying topological features of a plurality of components in the target distribution network and / or connection relationships between the plurality of components; Based on the topological features and / or the connection relationships, generating a topological structure of the target distribution network; Based on the topological structure, the application architecture is generated.

7. The method according to any one of claims 1 to 6, characterized in that: After generating the application architecture, the method further includes: In the application architecture, a resource adjustment policy is executed to obtain an execution result, wherein the execution result is used to indicate whether the resource adjustment policy is successfully executed in the application architecture.

8. A device for generating an application architecture of a distribution network, characterized in that: include: A first acquisition unit, used to acquire first parameter information of a target terminal access device in an initial distribution network; A control unit, configured to control the target terminal access device to access the initial distribution network based on the first parameter information to obtain a target distribution network; A generation unit is used to generate the application architecture of the target distribution network from the target distribution network in response to the target terminal access device successfully accessing the initial distribution network, according to a topology identification strategy, wherein the topology identification strategy is used to identify the topological characteristics of multiple components in the target distribution network and / or the connection relationship between the multiple components, and the application architecture is used to characterize the topological characteristics of the multiple components in the target distribution network and / or the connection relationship between the multiple components.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 7 when running.