Power grid partition scheduling control method, computer equipment, readable storage medium and program product

Abstract

The invention relates to a power grid partition scheduling control method, computer equipment, a readable storage medium and a program product, which are applied to the technical field of power grid scheduling, and the method comprises the following steps: obtaining topological structure data and power grid operation data of a target power grid; performing partition division on the target power grid according to the topological structure data and the power grid operation data to obtain at least one target sub-grid; and performing power grid dispatching control on the at least one target subnet. By adopting the method, the power grid dispatching efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid dispatching, and in particular to a power grid zone dispatching control method, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] With the development of science and technology, the application of power grids is becoming more and more extensive. In order to adapt to the flexible change of power grid needs, power grids are usually set to be larger in scale and more complex in structure. Therefore, when conducting power grid dispatching, since there may be connections between the components in the power grid, when conducting the operation dispatch of a certain component of the power grid, there may be a situation where a single move affects the entire body. Therefore, when the power grid is large in scale or the power grid structure is complex, if the power grid dispatching is to meet the real-time requirements, it is easy to need to repeatedly dispatch the power grid, which makes the time required to complete the power grid dispatching longer, that is, the power grid dispatching efficiency is low. Summary of the invention

[0003] Based on this, it is necessary to provide a power grid partition dispatching control method, device, computer equipment, computer readable storage medium and computer program product that can improve power grid dispatching efficiency in response to the above technical problems.

[0004] In a first aspect, the present application provides a power grid partition dispatching control method, comprising:

[0005] Obtain topological structure data and operation data of the target power grid;

[0006] According to the topology data and the power grid operation data, the target power grid is partitioned to obtain at least one target subnet;

[0007] The power grid dispatching control is performed on the at least one target subnet respectively.

[0008] In a second aspect, the present application also provides a power grid partition dispatching control device, comprising:

[0009] An acquisition module, used to acquire topological structure data and operation data of a target power grid;

[0010] A partitioning module, configured to partition the target power grid according to the topology data and the power grid operation data to obtain at least one target subnet;

[0011] The scheduling module is used to perform power grid scheduling control on the at least one target subnet respectively.

[0012] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0013] Obtain topological structure data and operation data of the target power grid;

[0014] According to the topology data and the power grid operation data, the target power grid is partitioned to obtain at least one target subnet;

[0015] The power grid dispatching control is performed on the at least one target subnet respectively.

[0016] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0017] Obtain topological structure data and operation data of the target power grid;

[0018] According to the topology data and the power grid operation data, the target power grid is partitioned to obtain at least one target subnet;

[0019] The power grid dispatching control is performed on the at least one target subnet respectively.

[0020] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0021] Obtain topological structure data and operation data of the target power grid;

[0022] According to the topology data and the power grid operation data, the target power grid is partitioned to obtain at least one target subnet;

[0023] The power grid dispatching control is performed on the at least one target subnet respectively.

[0024] The above-mentioned power grid partition scheduling control method, device, computer equipment, computer-readable storage medium and computer program product obtain the topological structure data and operation data of the target power grid; partition the target power grid according to the topological structure data and the power grid operation data to obtain at least one target subnet; respectively perform power grid scheduling control on the at least one target subnet, and use the topological structure data and operation data of the target power grid as the basis for partitioning the target power grid, so that related components can be divided into the same target subnet, thereby performing power grid scheduling on each target subnet separately, compared with scheduling the entire power grid, saving the time required for repeated scheduling of the power grid, thereby reducing the time required to complete the power grid scheduling, that is, improving the power grid scheduling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 An application environment diagram of a power grid partition dispatching control method in one embodiment;

[0027] Figure 2 A schematic diagram of a flow chart of a power grid partition dispatching control method in one embodiment;

[0028] Figure 3 A schematic flow chart of a step of partitioning a target power grid to obtain at least one target subnet according to topology data and power grid operation data in an embodiment;

[0029] Figure 4 A schematic flow chart of a step of updating at least one initial subnet according to a target resource configuration ratio of at least one initial subnet to obtain at least one target subnet in an embodiment;

[0030] Figure 5 It is a structural block diagram of a power grid partition dispatching control device in one embodiment;

[0031] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0033] It should be noted that the information and data involved in this application (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use and processing of relevant data are in compliance with the relevant provisions of national laws and regulations. The content pushed to users (for example, power grid data display (the power grid structure model described below), cluster component area division results (the power grid partition model described below), power grid dispatching control of the target subnet, etc.), users can refuse or conveniently refuse content push, etc. In the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of the implementation of the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0034] The power grid partition dispatching control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 obtains the topological structure data and operation data of the target power grid; divides the target power grid according to the topological structure data and the power grid operation data to obtain at least one target subnet; and performs power grid dispatching control on at least one target subnet respectively. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0035] In an exemplary embodiment, Figure 2 As shown, a power grid partition dispatching control method is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps 202 to 206. Among them:

[0036] Step 202: Acquire topological structure data and operation data of the target power grid.

[0037] The target power grid in step 202 is a power grid waiting for power grid dispatching. The topological structure data includes at least one of the location of at least one power grid component, the connection relationship between the power grid components, and the electrical characteristic data of at least one power grid component. The power grid component includes a power supply component and a load component. The load component includes at least one of a transformer component, a distribution component, and a load component. The power supply component includes at least one of a power generation component and a power source. The power generation component includes at least one of a thermal generator, a hydroelectric generator, and a nuclear power generator. The transformer component includes at least one of a transformer and a capacitor. The distribution component includes transformer and distribution equipment. The electrical characteristic data includes at least one of voltage characteristic data and current characteristic data.

[0038] The grid operation data in step 202 includes at least one of real-time operation data and historical operation data in terms of data generation time, and includes at least one of operation voltage data, operation current data and operation power data in terms of data content.

[0039] As one embodiment, obtaining topological structure data of a target power grid includes: obtaining a design drawing of the target power grid, identifying the position of at least one power grid component of the target power grid from the design drawing; and / or identifying a connection relationship between power grid components in the target power grid from the design drawing.

[0040] As another embodiment, acquiring the topology data of the target power grid includes: querying electrical characteristic data of at least one power grid component in the target power grid from a monitoring system of the target power grid.

[0041] As an embodiment, obtaining the operating data of the target power grid includes: obtaining the operating data of the target power grid from at least one of a monitoring system, a phasor measurement unit, a smart meter, and a data acquisition sensor deployed in the target power grid.

[0042] Optionally, after step 202, the method further includes: constructing a grid structure model of the target grid according to the topological structure data of the target grid.

[0043] As one embodiment, a grid structure model of the target grid is constructed based on the topological structure data of the target grid, including: simulating the target grid based on the position of at least one grid component, the connection relationship between the grid components and the electrical characteristic data of at least one grid component to obtain the grid structure model of the target grid.

[0044] Optionally, the method further includes: updating the grid structure model according to the grid operation data.

[0045] In this way, the topological structure data and grid operation data of the target grid are visualized, making the display of the target grid more intuitive.

[0046] Step 204 , partitioning the target power grid according to the topology data and the power grid operation data to obtain at least one target subnet.

[0047] Exemplarily, step 204 includes: partitioning the target power grid according to the topology data and the power grid operation data and according to the association between components in the target power grid to obtain at least one target subnet.

[0048] Furthermore, based on the topological structure data and the grid operation data, according to the correlation between the components in the target grid, the target grid is partitioned to obtain at least one target subnet, including: based on the topological structure data and the grid operation data, according to the correlation between the components in the target grid, the resource configuration of the target grid is partitioned to obtain at least one target subnet.

[0049] Step 206: Perform grid dispatching control on at least one target subnet respectively.

[0050] Exemplarily, step 206 includes: for each target subnet in at least one target subnet, obtaining a grid dispatching target corresponding to the target grid, and determining a subnet dispatching target of the target subnet based on the grid dispatching target, and performing grid dispatching control on the target subnet based on the subnet dispatching target, wherein the grid dispatching target may be a grid dispatching target power, in which case the subnet dispatching target is the subnet dispatching target power.

[0051] Furthermore, according to the grid dispatching target, the subnet dispatching target of the target subnet is determined, including: obtaining the position of the target subnet in the target grid and the topological structure data of the target subnet; determining the proportion of dispatching resources corresponding to the target subnet in the target grid according to the position of the target subnet in the target grid and the topological structure data of the target subnet, wherein the closer the position of the target subnet in the target grid is to the center position of the target grid, the higher the proportion of dispatching resources corresponding to the target subnet in the target grid, and the topological structure data of the target subnet; determining the subnet dispatching target of the target subnet according to the proportion of dispatching resources corresponding to the target subnet in the target grid and the grid dispatching target, wherein the higher the proportion of dispatching resources corresponding to the target subnet in the target grid, the higher the subnet dispatching target of the determined target subnet.

[0052] Optionally, after step 206, the method further includes: partitioning the power grid structure model according to at least one target subnet to obtain a power grid partition model.

[0053] In this way, the partitioning results are presented in the form of a power grid partitioning model, making the presentation of the partitioning results of the target power grid more intuitive.

[0054] As an embodiment, step 206 includes: performing grid dispatching control on at least one target subnet respectively according to the grid partition model.

[0055] In this way, since the power grid partition model is obtained by partitioning the power grid structure model, the power grid partition model can intuitively display the power grid operation data of the target power grid, and there is no need to schedule and query the power grid operation data, thereby providing convenience for power grid partition scheduling.

[0056] In the above-mentioned power grid zoning dispatching and control method, by acquiring the topological structure data and operation data of the target power grid; partitioning the target power grid according to the topological structure data and the power grid operation data to obtain at least one target subnet; performing power grid dispatching and control on at least one target subnet respectively, and using the topological structure data and operation data of the target power grid as the basis for partitioning the target power grid, it is possible to divide the associated components into the same target subnet, thereby performing power grid dispatching on each target subnet respectively, compared with scheduling the entire power grid, saving the time required for repeated scheduling of the power grid, thereby reducing the time required to complete the power grid dispatching, that is, improving the power grid dispatching efficiency.

[0057] In an exemplary embodiment, Figure 3 As shown, a method for accurately dividing a target subnet is provided, and the target power grid is partitioned according to the topology data and the power grid operation data to obtain at least one target subnet, including steps 302 to 306. Among them:

[0058] Step 302: preliminarily partition the target power grid according to the topology data and the power grid operation data to obtain at least one initial subnet.

[0059] Exemplarily, step 302 includes: clustering the topology data to obtain at least one group of cluster data, and dividing the areas where the grid components whose corresponding topology data in the target power grid belong to the same cluster data are located into the same cluster component areas; determining the load distribution information and power source location information of each cluster component area based on the power grid operation data; and performing preliminary zoning of the target power grid based on the load distribution information and power source location information of each cluster component area to obtain at least one initial subnet.

[0060] Furthermore, the topological structure data are clustered to obtain at least one group of clustering data, including: clustering the topological structure data of multiple power grid components in the target power grid according to a preset clustering algorithm to obtain at least one group of clustering data, wherein each clustering data includes the topological structure data of at least one component, wherein the preset clustering algorithm includes but is not limited to K-means clustering algorithm, density algorithm, graph theory clustering method and hierarchical method, etc.

[0061] As one embodiment, the load distribution information and power source location information of each cluster component area are determined based on the power grid operation data, including: for each cluster component area, the partition operation data belonging to the cluster component area is screened from the power grid operation data, the partition operation data includes partition operation voltage data, partition operation current data and partition operation power data; based on the partition operation voltage data, the partition operation current data and the partition operation power data, the load distribution status of the cluster component area is evaluated to obtain the load distribution information; and, based on the partition operation voltage data, the partition operation current data and the partition operation power data, the power source location of the cluster component area is located to obtain the power source location information.

[0062] Each initial subnet includes at least one region to which load distribution information and power source location information of a cluster component region belong.

[0063] Step 304: Determine a target resource allocation ratio of at least one initial subnet according to the power grid operation data.

[0064] As an embodiment, step 304 includes: for each initial subnet in at least one initial subnet, generating load information and power generation information of the initial subnet according to the power grid operation data; evaluating the resource configuration status of the initial subnet in a first resource dimension according to the load information and power generation information of the initial subnet to obtain a first resource configuration ratio of the initial subnet, and, evaluating the resource configuration status of the initial subnet in a second resource dimension according to the load information and power generation information of the initial subnet to obtain a second resource configuration ratio of the initial subnet; fusing the first resource configuration ratio and the second resource configuration ratio to obtain an optimized resource configuration ratio; fusing the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio to obtain a target resource configuration ratio of the initial subnet.

[0065] Furthermore, the load information includes load density and load amount, and the power generation information includes power generation and power supply capacity; based on the power grid operation data, the load information and power generation information of the initial subnet are generated, including: screening the subnet operation data corresponding to the initial subnet from the power grid operation data, the subnet operation data including subnet operation voltage data, subnet operation current data and subnet operation power data; based on the subnet operation voltage data, the subnet operation current data and the subnet operation power data, generating the load density and load amount of each load component in the initial subnet, and, based on the subnet operation voltage data, the subnet operation current data and the subnet operation power data, generating the power generation and power supply capacity of each power generation component in the initial subnet.

[0066] As an embodiment, based on the load information and power generation information of the initial subnet, the resource configuration status of the initial subnet in the first resource dimension is evaluated to obtain the first resource configuration ratio of the initial subnet, including: based on the load information of the initial subnet, the load density of each load component in the initial subnet is integrated to obtain the total load density of the subnet; based on the power generation information of the initial subnet, the power capacity of each power generation component in the initial subnet is integrated to obtain the total power capacity of the subnet, and the ratio between the total load density of the subnet and the total power capacity of the subnet is determined as the first resource configuration ratio of the initial subnet.

[0067] Optionally, the ratio between the total subnet load density and the total subnet power capacity is determined as the first resource configuration ratio of the initial subnet, which can be expressed by the formula:

[0068]

[0069] in, is the first resource allocation ratio of the initial subnet, is the load component, For load components The load density, For power generation components, For power generation components power capacity.

[0070] As an embodiment, based on the load information and power generation information of the initial subnet, the resource configuration status of the initial subnet in the second resource dimension is evaluated to obtain the second resource configuration ratio of the initial subnet, including: based on the load information of the initial subnet, the load amount of each load component in the initial subnet at a preset time is integrated to obtain the total load of the subnet; based on the power generation information of the initial subnet, the power generation amount of each power generation component in the initial subnet at a preset time is integrated to obtain the total power generation of the subnet; the ratio between the total load of the subnet and the total power generation of the subnet is determined as the second resource configuration ratio of the initial subnet.

[0071] Optionally, the ratio between the total subgrid load and the total subgrid power generation is determined as the second resource allocation ratio of the initial subgrid, which can be expressed by the formula:

[0072]

[0073] in, is the second resource allocation ratio of the initial subnet, For load components In time The load capacity, For load components In time of power generation.

[0074] As an embodiment, the first resource configuration ratio and the second resource configuration ratio are integrated to obtain an optimized resource configuration ratio, including: integrating the difference between the second resource configuration ratio and the first resource configuration ratio with the first resource configuration ratio to obtain the optimized resource configuration ratio.

[0075] Furthermore, the difference between the second resource configuration ratio and the first resource configuration ratio is integrated with the first resource configuration ratio to obtain an optimized resource configuration ratio, including: compensating and adjusting the difference between the second resource configuration ratio and the first resource configuration ratio through a compensation weight to obtain a difference compensation value, wherein the compensation weight can be an empirical value or can be set by the user as needed; multiplying and integrating the difference compensation value and the first resource configuration ratio to obtain an optimized resource configuration ratio.

[0076] Specifically, the difference between the second resource allocation ratio and the first resource allocation ratio is compensated and adjusted through the compensation factor to obtain the difference compensation value, including: the product of the compensation weight and the difference between the second resource allocation ratio and the first resource allocation ratio and 1 are determined as the difference compensation value.

[0077] Optionally, the difference compensation value and the first resource allocation ratio are multiplied and merged to obtain the optimized resource allocation ratio, which can be expressed in the formula:

[0078]

[0079] in, To optimize resource allocation ratio, is the compensation weight.

[0080] Among them, the higher the optimized resource configuration ratio, the higher the target resource configuration ratio; the higher the first resource configuration ratio, the higher the target resource configuration ratio; the higher the second resource configuration ratio, the higher the target resource configuration ratio.

[0081] As an embodiment, the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio are integrated to obtain the target resource configuration ratio of the initial subnet, including: determining the product of the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio as the target resource configuration ratio of the initial subnet.

[0082] Optionally, the product of the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio is determined as the target resource configuration ratio of the initial subnet, which can be expressed in the formula:

[0083]

[0084]

[0085] in, Configure ratios for target resources.

[0086] Step 306: Update at least one initial subnet according to the target resource configuration ratio of at least one initial subnet to obtain at least one target subnet.

[0087] Exemplarily, step 306 includes: updating the power grid components of at least one initial subnet according to the target resource configuration ratio of at least one initial subnet to obtain at least one target subnet.

[0088] In this embodiment, the target power grid is preliminarily partitioned according to the topological structure data and the power grid operation data to obtain at least one initial subnet; the target resource configuration ratio of the at least one initial subnet is determined according to the power grid operation data; according to the target resource configuration ratio of the at least one initial subnet, the at least one initial subnet is updated to obtain at least one target subnet, and the target power grid is divided multiple times according to different bases, so that the target subnet finally updated is obtained by participating in the decision-making in different data sources, thereby improving the partition accuracy of the target power grid.

[0089] In an exemplary embodiment, Figure 4 As shown, in order to provide an accurate adjustment method for the initial subnet, at least one initial subnet is updated according to the target resource configuration ratio of at least one initial subnet, and at least one target subnet is obtained, including steps 402 to 406. Among them:

[0090] Step 402, current resource configuration ratio evaluation step: for each initial subnet in at least one initial subnet, the resource configuration status of the initial subnet is evaluated according to the load information and power generation information of the initial subnet to obtain the current resource configuration ratio.

[0091] Exemplarily, step 402 includes: determining the current first resource configuration ratio of the initial subnet based on the load information and power generation information of the initial subnet, and determining the current second resource configuration ratio of the initial subnet based on the load information and power generation information of the initial subnet, and fusing the current first resource configuration ratio and the current second resource configuration ratio of the initial subnet to obtain the current resource configuration ratio.

[0092] Optionally, the specific implementation methods of determining the current first resource configuration ratio of the initial subnet based on the load information and power generation information of the initial subnet, and determining the current second resource configuration ratio of the initial subnet based on the load information and power generation information of the initial subnet can refer to the above-mentioned evaluation of the resource configuration status of the initial subnet in the first resource dimension based on the load information and power generation information of the initial subnet to obtain the first resource configuration ratio of the initial subnet, and the evaluation of the resource configuration status of the initial subnet in the second resource dimension based on the load information and power generation information of the initial subnet to obtain the second resource configuration ratio of the initial subnet, which will not be elaborated here.

[0093] As an embodiment, the current first resource configuration ratio and the current second resource configuration ratio of the initial subnet are merged to obtain the current resource configuration ratio, including: determining the product of the current first resource configuration ratio and the current second resource configuration ratio of the initial subnet as the current resource configuration ratio.

[0094] Step 404, if the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is greater than the preset difference threshold, the power grid components included in the initial subnet are updated according to the size relationship between the current resource configuration ratio of the initial subnet and the corresponding target resource configuration ratio.

[0095] Exemplarily, based on the size relationship between the current resource configuration ratio of the initial subnet and the corresponding target resource configuration ratio, the power grid components included in the initial subnet are updated, including: if the current resource configuration ratio of the initial subnet is greater than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in the initial subnet is removed to an adjacent subnet adjacent to the initial subnet; if the current resource configuration ratio of the initial subnet is less than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in the adjacent subnet adjacent to the initial subnet is added to the initial subnet.

[0096] As an embodiment, removing at least one power grid component in an initial subnet to an adjacent subnet adjacent to the initial subnet includes: selecting a component to be removed from all power grid components included in the initial subnet, and removing the component to be removed in the initial subnet to an adjacent subnet adjacent to the initial subnet.

[0097] Furthermore, selecting components to be removed from all power grid components included in the initial subnet includes: obtaining component information of all power grid components included in the initial subnet, wherein the component information of the power grid components includes at least one of location information of the power grid components in the initial subnet and a connection relationship between the power grid components and other power grid components in the initial subnet; for each power grid component included in the initial subnet, evaluating the first importance of the power grid component in the initial subnet based on the component information of the power grid components in the initial subnet to obtain the first importance of all power grid components included in the initial subnet; and selecting components to be removed from all power grid components included in the initial subnet based on the first importance of all power grid components included in the initial subnet.

[0098] Among them, the closer the location information of the power grid components included in the initial subnet is to the center position of the initial subnet, the higher the first importance of the evaluated power grid components is; the connection relationship between the power grid components included in the initial subnet and other power grid components in the initial subnet represents that the closer the connection between the power grid components and other power grid components in the initial subnet is, the higher the first importance of the evaluated power grid components is. Specifically, the connection relationship between the power grid components and other power grid components in the initial subnet represents that the larger the number of components in the initial subnet that have a connection relationship with the power grid components is, the closer the connection relationship between the power grid components and other power grid components in the initial subnet is.

[0099] As one embodiment, based on the importance of all power grid components included in the initial subnet, components to be removed are selected from all power grid components included in the initial subnet, including: determining the power grid components in the initial subnet whose corresponding first importance meets the first preset importance condition as components to be removed.

[0100] The first preset importance condition may be greater than a first preset importance threshold, or may be a maximum value among the importances of all power grid components.

[0101] As one embodiment, at least one power grid component in an adjacent subnet adjacent to an initial subnet is added to the initial subnet, including: selecting a target adjacent subnet from the adjacent subnets adjacent to the initial subnet, wherein the difference between the corresponding current resource configuration ratio and the corresponding target resource configuration ratio is greater than a preset difference threshold; selecting a component to be added from all power grid components contained in the target adjacent subnet, and adding the component to be added in the target adjacent subnet to the initial subnet.

[0102] In this way, it is ensured that the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is not greater than the preset difference threshold, that is, there is no need to update the grid components, or the grid component layout of the adjacent subnet that has completed the grid component update avoids repeated updates of the subnet grid components and improves the efficiency of determining the target subnet.

[0103] Furthermore, selecting components to be added from all power grid components included in the target adjacent subnet includes: obtaining subnet interaction information between all power grid components included in the target adjacent subnet and the initial subnet, wherein the subnet interaction information includes at least one of the distance information between all power grid components included in the target adjacent subnet and the initial subnet and the connection relationship between all power grid components included in the target adjacent subnet and the power grid components of the initial subnet; generating a second importance of the power grid components in the target adjacent subnet to the initial subnet based on the subnet interaction information between all power grid components included in the target adjacent subnet and the initial subnet, and evaluating the second importance corresponding to all power grid components included in the target adjacent subnet; and selecting components to be added from all power grid components included in the target adjacent subnet based on the second importance corresponding to all power grid components included in the target adjacent subnet.

[0104] Among them, the distance information between the power grid components in the target adjacent subnet and the initial subnet represents that the closer the distance between the power grid components contained in the target adjacent subnet and the initial subnet is, the higher the second importance of the power grid components in the target adjacent subnet to the initial subnet is evaluated; the connection relationship between the power grid components in the target adjacent subnet and the power grid components in the initial subnet represents that the tighter the connection between the power grid components in the initial subnet and the power grid components in the target adjacent subnet is, the higher the second importance of the power grid components in the target adjacent subnet to the initial subnet is evaluated. Specifically, the connection relationship between the power grid components in the target adjacent subnet and the power grid components in the initial subnet represents that the larger the number of components in the initial subnet that have a connection relationship with the power grid components in the target adjacent subnet is, the connection relationship between the power grid components in the target adjacent subnet and the power grid components in the initial subnet represents that the connection between the power grid components in the initial subnet and the power grid components in the target adjacent subnet is tighter.

[0105] As one embodiment, based on the second importance corresponding to all power grid components contained in the target adjacent subnet, the components to be added are selected from all power grid components contained in the target adjacent subnet, including: determining the power grid components of the target adjacent subnet whose corresponding second importance meets the second preset importance condition as the components to be added.

[0106] The second preset importance condition may be greater than a second preset importance threshold, or may be the maximum value among the importances of all power grid components.

[0107] When the differences between the current resource configuration ratios of all initial subnets and the corresponding target resource configuration ratios are not greater than the preset difference threshold, the process returns to step 402 .

[0108] When the differences between the current resource configuration ratios of all initial subnets and the corresponding target resource configuration ratios are greater than the preset difference threshold, step 406 is executed to determine all current initial subnets as at least one target subnet.

[0109] In this embodiment, by executing the current resource configuration ratio evaluation step: for each initial subnet in at least one initial subnet, the resource configuration status of the initial subnet is evaluated according to the load information and power generation information of the initial subnet to obtain the current resource configuration ratio; if the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is greater than the preset difference threshold, the power grid components included in the initial subnet are updated according to the size relationship between the current resource configuration ratio of the initial subnet and the corresponding target resource configuration ratio; return to execute the current resource configuration ratio evaluation step until the difference between the current resource configuration ratio of all initial subnets and the corresponding target resource configuration ratio is greater than the preset difference threshold, then all current initial subnets are determined as at least one target subnet, thereby achieving coordination of power grid components between multiple initial subnets, so that the differences between the current resource configuration ratios of all target subnets obtained after the power grid components are updated and the corresponding target resource configuration ratios are small, thereby improving the partitioning accuracy of the target power grid.

[0110] As a detailed embodiment, the topological structure data and the grid operation data of the target grid are obtained; based on the topological structure data of the target grid, a grid structure model of the target grid is constructed; the topological structure data is clustered to obtain at least one group of cluster data, and the areas where the grid components whose topological structure data in the target grid corresponds to the same cluster data are located are divided into the same cluster component areas; based on the grid operation data, the load distribution information and the power source location information of each cluster component area are determined; based on the load distribution information and the power source location information of each cluster component area, the target grid is preliminarily partitioned to obtain at least one initial subnet; for each initial subnet in the at least one initial subnet, , based on the power grid operation data, generate the load information and power generation information of the initial subnet; based on the load information and power generation information of the initial subnet, evaluate the resource configuration status of the initial subnet in the first resource dimension to obtain the first resource configuration ratio of the initial subnet, and, based on the load information and power generation information of the initial subnet, evaluate the resource configuration status of the initial subnet in the second resource dimension to obtain the second resource configuration ratio of the initial subnet; merge the first resource configuration ratio and the second resource configuration ratio to obtain the optimized resource configuration ratio; merge the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio to obtain the target resource configuration ratio of the initial subnet.

[0111] Further, a current resource configuration ratio evaluation step is performed: for each initial subnet in at least one initial subnet, the resource configuration status of the initial subnet is evaluated according to the load information and power generation information of the initial subnet to obtain the current resource configuration ratio; if the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is greater than a preset difference threshold, then if the current resource configuration ratio of the initial subnet is greater than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in the initial subnet is removed to an adjacent subnet adjacent to the initial subnet; if the current resource configuration ratio of the initial subnet is less than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in the adjacent subnet adjacent to the initial subnet is added to the initial subnet; return to perform the current resource configuration ratio evaluation step until the difference between the current resource configuration ratio of all initial subnets and the corresponding target resource configuration ratio is greater than the preset difference threshold, then all current initial subnets are determined as at least one target subnet; according to at least one target subnet, the power grid structure model is partitioned to obtain a power grid partition model; and power grid dispatching control is performed on at least one target subnet respectively.

[0112] In this way, by acquiring the topological structure data and operation data of the target power grid; partitioning the target power grid according to the topological structure data and the power grid operation data to obtain at least one target subnet; performing power grid dispatching control on at least one target subnet respectively, and using the topological structure data and operation data of the target power grid as the basis for partitioning the target power grid, it is possible to divide the related components into the same target subnet, thereby performing power grid dispatching on each target subnet respectively, compared with dispatching the entire power grid, saving the time required for repeated power grid dispatching, thereby reducing the time required to complete power grid dispatching, that is, improving the power grid dispatching efficiency.

[0113] Furthermore, based on the topological structure data and the grid operation data, the target grid is preliminarily partitioned to obtain at least one initial subnet; based on the grid operation data, the target resource configuration ratio of at least one initial subnet is determined; based on the target resource configuration ratio of at least one initial subnet, at least one initial subnet is updated to obtain at least one target subnet, and the target grid is partitioned multiple times according to different bases, so that the target subnet finally updated is obtained by participating in the decision-making in different data sources, thereby improving the accuracy of the target grid partitioning, and realizing the coordination of grid components among multiple initial subnets, so that the differences between the current resource configuration ratios of all target subnets obtained after the grid components are updated and the corresponding target resource configuration ratios are small, thereby improving the accuracy of the target grid partitioning.

[0114] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0115] Based on the same inventive concept, the embodiment of the present application also provides a power grid partition dispatching control device for implementing the power grid partition dispatching control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more power grid partition dispatching control device embodiments provided below can refer to the limitations of the power grid partition dispatching control method above, and will not be repeated here.

[0116] In an exemplary embodiment, Figure 5 As shown, a power grid partition dispatch control device 500 is provided, comprising: an acquisition module 502, a partition module 504 and a dispatch module 506, wherein:

[0117] An acquisition module 502 is used to acquire topological structure data and grid operation data of a target grid;

[0118] A partitioning module 504 is used to partition the target power grid according to the topology data and the power grid operation data to obtain at least one target subnet;

[0119] The scheduling module 506 is used to perform power grid scheduling control on at least one target subnet respectively.

[0120] In one of the embodiments, the partitioning module 504 is also used to preliminarily partition the target power grid according to the topology data and the power grid operation data to obtain at least one initial subnet; determine the target resource configuration ratio of at least one initial subnet according to the power grid operation data; and update at least one initial subnet according to the target resource configuration ratio of at least one initial subnet to obtain at least one target subnet.

[0121] In one of the embodiments, the partitioning module 504 is also used to cluster the topology data to obtain at least one group of clustering data, and divide the areas where the grid components whose topology data in the target power grid corresponds to the same clustering data are located into the same clustering component areas; determine the load distribution information and power source location information of each clustering component area based on the power grid operation data; and perform preliminary partitioning of the target power grid based on the load distribution information and power source location information of each clustering component area to obtain at least one initial subnet.

[0122] In one of the embodiments, the partitioning module 504 is also used to generate load information and power generation information of the initial subnet for each initial subnet in at least one initial subnet based on the power grid operation data; evaluate the resource configuration status of the initial subnet in the first resource dimension based on the load information and power generation information of the initial subnet to obtain a first resource configuration ratio of the initial subnet; and evaluate the resource configuration status of the initial subnet in the second resource dimension based on the load information and power generation information of the initial subnet to obtain a second resource configuration ratio of the initial subnet; merge the first resource configuration ratio and the second resource configuration ratio to obtain an optimized resource configuration ratio; merge the optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio to obtain a target resource configuration ratio of the initial subnet.

[0123] In one of the embodiments, the partitioning module 504 is also used to execute the current resource configuration ratio evaluation step: for each initial subnet in at least one initial subnet, the resource configuration status of the initial subnet is evaluated according to the load information and power generation information of the initial subnet to obtain the current resource configuration ratio; if the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is greater than the preset difference threshold, the power grid components included in the initial subnet are updated according to the size relationship between the current resource configuration ratio of the initial subnet and the corresponding target resource configuration ratio; return to execute the current resource configuration ratio evaluation step until the difference between the current resource configuration ratio of all initial subnets and the corresponding target resource configuration ratio is greater than the preset difference threshold, then all current initial subnets are determined as at least one target subnet.

[0124] In one embodiment, the partitioning module 504 is also used to remove at least one power grid component in the initial subnet to an adjacent subnet adjacent to the initial subnet if the current resource configuration ratio of the initial subnet is greater than the target resource configuration ratio corresponding to the initial subnet; if the current resource configuration ratio of the initial subnet is less than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in the adjacent subnet adjacent to the initial subnet is added to the initial subnet.

[0125] In one of the embodiments, after acquiring the topological structure data and operation data of the target power grid, the device also includes: a construction module, which is used to construct a power grid structure model of the target power grid according to the topological structure data of the target power grid; according to the topological structure data and the power grid operation data, the target power grid is partitioned and divided. After obtaining at least one target subnet, the partitioning module 504 is also used to partition the power grid structure model according to at least one target subnet to obtain a power grid partition model.

[0126] Each module in the above-mentioned power grid partition dispatching control device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0127] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 input / output interface of the computer device is used to exchange information between the processor and the external device. 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 realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a power grid partition dispatching control method is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen 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 covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0128] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0129] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0130] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0131] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0132] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0133] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0134] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A power grid partition dispatching control method, characterized in that: The method comprises: Obtaining the topological structure data and grid operation data of the target grid; According to the topology data and the power grid operation data, the target power grid is partitioned to obtain at least one target subnet; The power grid dispatching control is performed on the at least one target subnet respectively.

2. The method according to claim 1, characterized in that The step of partitioning the target power grid according to the topology data and the power grid operation data to obtain at least one target subnet includes: Preliminarily partitioning the target power grid according to the topology data and the power grid operation data to obtain at least one initial subnet; Determining a target resource allocation ratio of the at least one initial subnet according to the power grid operation data; According to the target resource configuration ratio of the at least one initial subnet, the at least one initial subnet is updated to obtain at least one target subnet.

3. The method according to claim 2, characterized in that The step of preliminarily partitioning the target power grid according to the topology data and the power grid operation data to obtain at least one initial subnet includes: Clustering the topological structure data to obtain at least one group of clustered data, and dividing the area where the grid components whose topological structure data in the target grid belong to the same clustered data are located into the same clustered component area; Determining load distribution information and power source location information of each cluster component area according to the power grid operation data; According to the load distribution information and power source location information of each cluster component area, the target power grid is preliminarily partitioned to obtain at least one initial subnet.

4. The method according to claim 2, characterized in that: Determining the target resource allocation ratio of the at least one initial subnet according to the power grid operation data includes: For each initial subnet in the at least one initial subnet, generating load information and power generation information of the initial subnet according to the power grid operation data; According to the load information and power generation information of the initial subnet, the resource configuration status of the initial subnet in the first resource dimension is evaluated to obtain a first resource configuration ratio of the initial subnet; and, according to the load information and power generation information of the initial subnet, the resource configuration status of the initial subnet in the second resource dimension is evaluated to obtain a second resource configuration ratio of the initial subnet; Merging the first resource allocation ratio and the second resource allocation ratio to obtain an optimized resource allocation ratio; The optimized resource configuration ratio, the first resource configuration ratio and the second resource configuration ratio are integrated to obtain the target resource configuration ratio of the initial subnet.

5. The method according to claim 2, characterized in that: The updating of the at least one initial subnet according to the target resource configuration ratio of the at least one initial subnet to obtain at least one target subnet includes: Executing a current resource configuration ratio evaluation step: for each initial subnet in the at least one initial subnet, evaluating the resource configuration status of the initial subnet according to the load information and power generation information of the initial subnet to obtain a current resource configuration ratio; If the difference between the current resource configuration ratio and the corresponding target resource configuration ratio is greater than a preset difference threshold, the power grid components included in the initial subnet are updated according to the size relationship between the current resource configuration ratio of the initial subnet and the corresponding target resource configuration ratio; Return to execute the current resource configuration ratio evaluation step until the difference between the current resource configuration ratio of all the initial subnets and the corresponding target resource configuration ratio is greater than the preset difference threshold, then all the current initial subnets are determined as at least one target subnet.

6. The method according to claim 5, characterized in that The updating of the component nodes included in the initial subnet according to the size relationship between the current resource configuration ratio of the initial subnet and the target resource configuration ratio corresponding to the initial subnet includes: If the current resource configuration ratio of the initial subnet is greater than the target resource configuration ratio corresponding to the initial subnet, removing at least one power grid component in the initial subnet to an adjacent subnet adjacent to the initial subnet; If the current resource configuration ratio of the initial subnet is less than the target resource configuration ratio corresponding to the initial subnet, at least one power grid component in an adjacent subnet adjacent to the initial subnet is added to the initial subnet.

7. The method according to any one of claims 1 to 6, characterized in that After acquiring the topological structure data and operation data of the target power grid, the method further includes: Constructing a grid structure model of the target grid according to the topological structure data of the target grid; After partitioning the target power grid according to the topology data and the power grid operation data to obtain at least one target subnet, the method further includes: The power grid structure model is partitioned according to the at least one target subnet to obtain a power grid partition model.

8. 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 method according to any one of claims 1 to 7 are implemented.

9. 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 method according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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