A power grid planning method and device, computer equipment and storage medium

Abstract

The application relates to a power grid planning method and device, computer equipment and a storage medium. The method comprises the following steps: constructing a target function of a backbone power grid architecture according to the number of candidate substations in a region to be planned and the number of target users served by the candidate substations; constructing a constraint condition of the backbone power grid architecture according to the number of the candidate substations; and solving the target function under the constraint condition to obtain a target substation, wherein the target substation is a substation selected from the candidate substations and incorporated into the backbone power grid architecture of the region to be planned. The method can quickly determine the backbone power grid architecture, the whole process does not need manual participation, the power grid planning cost is reduced, and the efficiency and accuracy of planning the backbone power grid architecture in the power grid can be improved.

Description

Technical Field

[0001] This application relates to the field of power grid technology, and in particular to a power grid planning method, apparatus, computer equipment, and storage medium. Background Technology

[0002] With economic development, more and more urban core infrastructures rely on electricity. When faced with severe natural disasters such as typhoons, earthquakes, ice storms, and lightning, the backbone power grid can ensure the basic operation of local areas and minimize the social impact.

[0003] However, the protection scope of the backbone power grid architecture is limited. Therefore, it is necessary to plan a backbone power grid architecture that can protect more important users as much as possible. Currently, planners and designers need to manually screen and compare the important users served by the substations and the candidate substations in the city to determine the backbone power grid architecture.

[0004] However, urban power grids frequently experience the connection, transfer, and adjustment of important users. If the backbone power grid architecture is re-determined through manual screening and comparison for each adjustment, it would consume too much manpower and resources. Therefore, how to quickly and accurately plan the backbone power grid architecture in the power grid has become an urgent problem to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer equipment, and computer-readable storage medium for planning a power grid that can quickly and accurately determine the backbone power grid structure, addressing the aforementioned technical problems.

[0006] Firstly, this application provides a method for planning a power grid. The method includes:

[0007] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0008] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0009] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0010] In one embodiment, the objective function of the backbone power grid architecture is:

[0011]

[0012] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned;i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0013] In one embodiment, constraints on the backbone power grid architecture are constructed based on the number of candidate substations, including:

[0014] Based on the number of candidate substations, construct the first and second constraints for the backbone power grid architecture;

[0015] The first constraint is related to the number of substations that the backbone power grid architecture can accommodate; the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0016] In one embodiment, the first constraint on the backbone power grid architecture is:

[0017]

[0018] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0019] In one embodiment, a second constraint on the backbone power grid architecture is constructed based on the number of candidate substations, including:

[0020] Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned;

[0021] Based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0022] In one embodiment, determining the grid topology corresponding to the candidate substations in the area to be planned, based on the number of candidate substations, includes:

[0023] If the number of candidate substations is 2, then the grid topology corresponding to the candidate substations in the planning area is determined to be a double-loop chain structure.

[0024] If the number of candidate substations is greater than 2, the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; the double-loop ring network structure is different depending on the number of candidate substations.

[0025] Secondly, this application also provides a power grid planning device. The device includes:

[0026] The function construction module is used to construct the objective function of the backbone power grid architecture based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations;

[0027] The constraint construction module is used to construct constraints for the backbone power grid architecture based on the number of candidate substations.

[0028] The function solving module is used to solve the objective function under constraints to obtain the target substation, where the target substation is a substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0029] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0030] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0031] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0032] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0033] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0034] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0035] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0036] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0037] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0038] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0039] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0040] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0041] The aforementioned power grid planning method, apparatus, computer equipment, and storage medium construct the objective function of the power grid architecture by obtaining the number of candidate substations and the number of target users served by the candidate substations. This ensures that the solution to the objective function covers as many target users as possible. Furthermore, constraints are constructed based on the number of candidate substations, making the solution to the objective function more accurate and consistent with reality. Therefore, this scheme not only provides a reasonable way to plan the backbone power grid architecture, but also allows for rapid determination of the backbone power grid architecture when facing the access, transfer, and adjustment of target users. This is achieved simply by substituting the number of candidate substations and the adjusted target user situation into the objective function. The entire process requires no manual intervention, reducing power grid planning costs and improving the efficiency and accuracy of planning the backbone power grid architecture. Attached Figure Description

[0042] Figure 1 This is a diagram illustrating the application environment of a power grid planning method in one embodiment.

[0043] Figure 2 This is a flowchart illustrating a power grid planning method in one embodiment;

[0044] Figure 3 This is a flowchart illustrating the process of determining the second constraint in one embodiment;

[0045] Figures 4A-4D This is a schematic diagram of the grid topology corresponding to different numbers of substations in one embodiment;

[0046] Figure 5 This is a flowchart illustrating a power grid planning method in another embodiment;

[0047] Figure 6 This is a structural block diagram of a power grid planning device in one embodiment;

[0048] Figure 7 This is a structural block diagram of the constraint building module in one embodiment;

[0049] Figure 8 This is a structural block diagram of the second building unit in one embodiment;

[0050] Figure 9 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] The power grid planning method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, in one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows. Figure 1 As shown. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data required for processing alarm data. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements the power grid planning method shown in any of the following embodiments.

[0053] In one embodiment, such as Figure 2 As shown, a power grid planning method is provided, which can be applied to... Figure 1 Taking a computer device as an example, the explanation includes the following steps:

[0054] S201, construct the objective function of the backbone power grid architecture based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations.

[0055] The planned area is the selected area that will be included in the power grid planning. The candidate substations are all the substations in the planned area. The target users are the important users selected from all users served by the candidate substations according to preset rules. The backbone power grid architecture is a power grid architecture that can ensure the basic operation of local areas and minimize the social impact in the event of extreme weather such as typhoons, earthquakes, icing, and lightning.

[0056] Specifically, the number of candidate substations in the area to be planned is found from the power grid system. Then, the number of target users served by each candidate substation is read from the system of each candidate substation. Based on the obtained data, the power grid planning problem is transformed into a 0-1 knapsack problem, in which the number of candidate substations is transformed into the number of items, the number of target users covered by the candidate substations is transformed into the price of the items, and the objective function of the backbone network is constructed accordingly.

[0057] Specifically, the objective function of the backbone power grid architecture is:

[0058]

[0059] Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0060] S202, Based on the number of candidate substations, construct the constraints for the backbone power grid architecture.

[0061] Optionally, the constraints of the backbone power grid architecture are affected by the number of candidate substations and the topology between them. Therefore, we can construct a single constraint reflecting both factors based on the number of candidate substations as the constraints of the backbone power grid architecture; alternatively, we can construct two separate constraints reflecting these two factors based on the number of candidate substations as the constraints of the backbone power grid architecture. For example, in this embodiment, a first constraint and a second constraint of the backbone power grid architecture can be constructed based on the number of candidate substations; wherein the first constraint is related to the number of substations that the backbone power grid architecture can accommodate; and the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0062] S203, under the constraints, solve the objective function to obtain the target substation.

[0063] Among them, the target substation is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0064] Specifically, based on the first two steps, the objective function and constraints are combined into a system of equations and solved to determine whether each candidate substation will be included in the backbone network architecture. Since each candidate substation covers a portion of the target users, if a candidate substation is included in the backbone network architecture, it means that the target users it covers are included in the backbone network architecture and can be protected by the backbone network structure.

[0065] In the aforementioned power grid planning method, the objective function and constraints are constructed by considering not only the number of candidate substations but also the number of target users covered by these substations. This results in a more accurate solution and allows the backbone network architecture to cover as many target users as possible. Since the function is fixed, the modified backbone network architecture can be calculated simply by adjusting the number of target users based on user access, transfers, and adjustments. The entire process requires no manual intervention, significantly reducing costs. Furthermore, the results are more accurate, and the planning is more efficient.

[0066] Based on the above embodiments' explanation of the constraints, this embodiment provides a detailed explanation of how to construct the first constraint function and the second constraint condition, as follows: Figure 3 As shown, based on the number of candidate substations, the first and second constraints for constructing the backbone power grid architecture include:

[0067] S301, the first constraint for constructing the backbone power grid architecture based on the number of candidate substations.

[0068] Optionally, the first constraint on the backbone power grid architecture can be that the number of candidate substations to be included in the backbone network architecture must be less than or equal to the upper limit of the backbone power grid architecture's capacity for substations, as specified in the formula:

[0069]

[0070] n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0071] The number of substations that the backbone power grid architecture can accommodate is the upper limit of the backbone power grid architecture's capacity for substations, and the grid topology corresponding to the candidate substations is the connection relationship between each candidate substation.

[0072] S302, Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned.

[0073] Specifically, when the number of candidate substations varies, the connection methods between the substations also differ. Therefore, the corresponding network topology for the candidate substations in the planning area also differs. In other words, the network topology for each candidate substation needs to be determined based on its number. Typically, the number of candidate substations is less than or equal to 5. According to preset rules, different numbers of candidate substations correspond to different network topologies.

[0074] Optionally, when the number of candidate substations is 2, the corresponding topology is a double-loop chain structure, such as... Figure 4A As shown; when the number of candidate substations is 3, the corresponding topology is a double-loop ring network structure with 3 substations, as follows. Figure 4B As shown; when the number of candidate substations is 4, the corresponding topology is a double-loop ring network structure with 4 substations, as follows. Figure 4C As shown; when the number of candidate substations is 5, the corresponding topology is a double-loop ring network structure with 5 substations, as follows. Figure 4D As shown. Among them, Figures 4A-4D The numbers 1-5 in the text represent candidate substation 1 through candidate substation 5, respectively.

[0075] S303, based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0076] Specifically, due to the different grid topologies, the constraints between each substation are also different, and the second constraint conditions of the backbone power grid architecture are also different. That is, it is necessary to construct the second constraint conditions of the backbone power grid architecture based on the grid topology.

[0077] For example, when the number of substations is 2, the constraint between the two substations is x2≤x1; when the number of substations is 3, the constraint between the two substations is x3≤x2+x1; when the number of substations is 4, the constraint between the two substations is x3≤x1+x4 and x4≤x2+x3; and when the number of substations is 5, the constraint between the two substations is x3≤x1+x2 and x5≤x2+x4.

[0078] Among them, x1-x5 represent five candidate substations. The value of x1-x5 is 0 or 1. When the value is 0, it means that the candidate substation is not included in the backbone network architecture. When the value is 1, it means that the candidate substation is included in the backbone power grid architecture.

[0079] Taking a candidate substation with 2 as an example, the second constraint is x2≤x1. That is, when x1 is 0, x2 can only be 0; when x1 is 1, x2 can be 0 or 1; when x2 is 1, x1 must be 1; when x2 is 0, x1 can be 0 or 1.

[0080] In this embodiment, a first constraint and a second constraint are constructed according to the different number of substations. This not only takes into account the capacity limit of the backbone power grid architecture, but also takes into account the constraints between substations, making the solution result more consistent with the actual situation and following the relationship between substations, thus improving the accuracy of planning the backbone power grid architecture.

[0081] To more comprehensively demonstrate this solution, this embodiment presents an optional approach to power grid planning, such as... Figure 5 As shown.

[0082] S501, construct the objective function of the backbone power grid architecture based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations.

[0083] The objective function for the backbone power grid architecture is:

[0084]

[0085] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0086] S502, the first constraint for constructing the backbone power grid architecture based on the number of candidate substations.

[0087] The first constraint on the backbone power grid architecture is:

[0088]

[0089] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; xi A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0090] S503, based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned.

[0091] S504, based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0092] S505, under constraints, solve the objective function to obtain the target substation.

[0093] The specific processes of S501-S505 described above can be found in the description of the above method embodiments. Their implementation principles and technical effects are similar, and will not be repeated here.

[0094] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0095] Based on the same inventive concept, this application also provides a power grid planning apparatus for implementing the power grid planning method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more power grid planning apparatus embodiments provided below can be found in the limitations of the power grid planning method described above, and will not be repeated here.

[0096] In one embodiment, such as Figure 6 As shown, a power grid planning device is provided, comprising: a function construction module, a constraint construction module, and a function solving module, wherein:

[0097] Function construction module 60 is used to construct the objective function of the backbone power grid architecture based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations;

[0098] Constraint construction module 61 is used to construct constraints on the backbone power grid architecture based on the number of candidate substations;

[0099] The function solving module 62 is used to solve the objective function under constraints to obtain the target substation, wherein the target substation is a substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0100] In one embodiment, the objective function of the backbone power grid architecture is:

[0101]

[0102] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0103] In one embodiment, such as Figure 7 As shown above, Figure 6 The constraint building module 61 may include:

[0104] The first building unit 610 is used to construct the first constraint condition of the backbone power grid architecture based on the number of candidate substations.

[0105] The second building unit 611 is used to build a second constraint condition for the backbone power grid architecture based on the number of candidate substations.

[0106] The first constraint is related to the number of substations that the backbone power grid architecture can accommodate; the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0107] In one embodiment, the first constraint on the backbone power grid architecture is:

[0108]

[0109] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0110] In one embodiment, such as Figure 8 As shown above, Figure 7 The second building unit 611 may include;

[0111] The first construction subunit 6110 is used to determine the grid topology corresponding to the candidate substations in the area to be planned, based on the number of candidate substations.

[0112] The second construction subunit 6111 is used to construct the second constraint conditions of the backbone power grid architecture based on the grid topology.

[0113] In one embodiment, the above Figure 8 The first building block 6110 is specifically used for:

[0114] If the number of candidate substations is 2, then the grid topology corresponding to the candidate substations in the planning area is determined to be a double-loop chain structure.

[0115] If the number of candidate substations is greater than 2, the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; the double-loop ring network structure is different depending on the number of candidate substations.

[0116] The modules in the aforementioned power grid planning device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0117] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 9 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a power grid planning method. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0118] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0119] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0120] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0121] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0122] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0123] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0124] The objective function for the backbone power grid architecture is:

[0125]

[0126] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0127] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0128] Based on the number of candidate substations, the first and second constraints of the backbone power grid architecture are constructed. The first constraint is related to the number of substations that the backbone power grid architecture can accommodate, and the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0129] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0130] The first constraint on the backbone power grid architecture is:

[0131]

[0132] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0133] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0134] Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned; based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0135] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0136] If the number of candidate substations is 2, the grid topology corresponding to the candidate substations in the planning area is determined to be a double-loop chain structure; if the number of candidate substations is greater than 2, the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; the double-loop ring network structure is different depending on the number of candidate substations.

[0137] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0138] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0139] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0140] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0141] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0142] The objective function for the backbone power grid architecture is:

[0143]

[0144] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0145] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0146] Based on the number of candidate substations, the first and second constraints of the backbone power grid architecture are constructed. The first constraint is related to the number of substations that the backbone power grid architecture can accommodate, and the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0147] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0148] The first constraint on the backbone power grid architecture is:

[0149]

[0150] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0151] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0152] Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned; based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0153] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0154] If the number of candidate substations is 2, the grid topology corresponding to the candidate substations in the planning area is determined to be a double-loop chain structure; if the number of candidate substations is greater than 2, the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; the double-loop ring network structure is different depending on the number of candidate substations.

[0155] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0156] Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture;

[0157] Based on the number of candidate substations, construct the constraints for the backbone power grid architecture;

[0158] Under constraints, the objective function is solved to obtain the target substation, which is the substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned.

[0159] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0160] The objective function for the backbone power grid architecture is:

[0161]

[0162] Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations.

[0163] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0164] Based on the number of candidate substations, the first and second constraints of the backbone power grid architecture are constructed. The first constraint is related to the number of substations that the backbone power grid architecture can accommodate, and the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

[0165] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0166] The first constraint on the backbone power grid architecture is:

[0167]

[0168] Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; and x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

[0169] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0170] Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned; based on the grid topology, construct the second constraint condition for the backbone power grid architecture.

[0171] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0172] If the number of candidate substations is 2, the grid topology corresponding to the candidate substations in the planning area is determined to be a double-loop chain structure; if the number of candidate substations is greater than 2, the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; the double-loop ring network structure is different depending on the number of candidate substations.

[0173] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile 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. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0174] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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 specification.

[0175] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for planning a power grid, characterized in that, The method includes: Based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations, construct the objective function of the backbone power grid architecture; Based on the number of candidate substations, construct the constraints for the backbone power grid architecture; Under the constraints, the objective function is solved to obtain the target substation, wherein the target substation is a substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned; The objective function of the backbone power grid architecture is: ， ； Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; the x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; the x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations; Among them, the planned area is the selected area that will be subject to power grid planning, the candidate substations are all the substations in the planned area, the target users are the important users selected from all users served by the candidate substations according to preset rules, and the backbone power grid architecture is the power grid architecture that provides service guarantee to the target users in the planned area under extreme weather conditions.

2. The method according to claim 1, characterized in that, The constraints for constructing the backbone power grid architecture based on the number of candidate substations include: Based on the number of candidate substations, construct the first and second constraints of the backbone power grid architecture; The first constraint is related to the number of substations that the backbone power grid architecture can accommodate; the second constraint is related to the grid topology corresponding to the candidate substations in the area to be planned.

3. The method according to claim 2, characterized in that, The first constraint condition for the backbone power grid architecture is: ， ； Where n represents the number of candidate substations; W represents the number of substations that the backbone power grid architecture can accommodate; x i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; where x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; the x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned.

4. The method according to claim 2, characterized in that, The second constraint condition for constructing the backbone power grid architecture based on the number of candidate substations includes: Based on the number of candidate substations, determine the grid topology corresponding to the candidate substations in the area to be planned; Based on the network topology, a second constraint condition for the backbone power grid architecture is constructed.

5. The method according to claim 4, characterized in that, The step of determining the grid topology corresponding to the candidate substations in the area to be planned based on the number of candidate substations includes: If the number of candidate substations is 2, then the grid topology corresponding to the candidate substations in the area to be planned is determined to be a double-loop chain structure. If the number of candidate substations is greater than 2, then the grid topology corresponding to the candidate substations is determined to be a double-loop ring network structure; wherein, the double-loop ring network structure is different depending on the number of candidate substations.

6. A power grid planning device, characterized in that, The device includes: The function construction module is used to construct the objective function of the backbone power grid architecture based on the number of candidate substations in the area to be planned and the number of target users served by the candidate substations; A constraint construction module is used to construct constraints on the backbone power grid architecture based on the number of candidate substations. The function solving module is used to solve the objective function under the constraints to obtain the target substation, wherein the target substation is a substation selected from the candidate substations and included in the backbone power grid architecture of the area to be planned; The objective function of the backbone power grid architecture is: ， ； Where Y represents the objective function of the backbone power grid architecture; p i x represents the number of target users served by the i-th candidate substation in the area to be planned; i This indicates whether the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; the x i A value of 0 indicates that the i-th candidate substation is not included in the backbone power grid architecture of the area to be planned; the x i A value of 1 indicates that the i-th candidate substation is included in the backbone power grid architecture of the area to be planned; n represents the number of candidate substations; Among them, the planned area is the selected area that will be subject to power grid planning, the candidate substations are all the substations in the planned area, the target users are the important users selected from all users served by the candidate substations according to preset rules, and the backbone power grid architecture is the power grid architecture that provides service guarantee to the target users in the planned area under extreme weather conditions.

7. The apparatus according to claim 6, characterized in that, The constraint construction module includes: The first building unit is used to construct the first constraint condition of the backbone power grid architecture based on the number of candidate substations; The second building unit is used to construct the second constraint condition of the backbone power grid architecture based on the number of candidate substations.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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