A method and system for evaluating robust local power grid network architecture

Abstract

This application relates to a method, apparatus, computer equipment, storage medium, and computer program product for evaluating a robust local power grid network architecture. The method includes: acquiring information on key customers, substations, and power supply lines; the key customer information includes the required voltage and geographical location of the customer; the substation information includes the voltage level and geographical location of the substation; filtering the power supply line information based on a preset number of critical substations, the required voltage, and the geographical location of the customer until the number of key customers is maximized; and setting the corresponding substations as core substations based on the filtered power supply line information. This method enables enhanced analysis of the calculated core substation group of a robust local power grid, maintaining the system's basic operational capabilities with minimal resources, ensuring the most important basic operational functions in the city, and facilitating a faster restoration of normal system operation.

Description

Technical Field

[0001] This application relates to the technical field of core substation screening, and in particular to a method, apparatus, equipment and storage medium for evaluating robust local power grid network architecture. Background Technology

[0002] During the development stages of major cities in China, reliable power supply is an indispensable factor for maintaining normal urban production and daily life. However, the higher the power load density of a region, the more severely it is affected by natural disasters. To improve the power grid's resilience to natural disasters, it is necessary to strengthen and reinforce the core and critical units of the urban power grid, especially the local networks formed by substations, to reduce losses to the urban power system under extreme events. Among these, key customers are the priority power suppliers for maintaining normal urban production and daily life.

[0003] In the greedy algorithm implemented in the existing robust local power grid network architecture, important customers are ranked by their size, and the corresponding substations are selected sequentially until all important customers can be powered.

[0004] In the implementation of existing greedy algorithms, it is impossible to supply power to all important customers under extreme events. The greedy algorithm cannot select the optimal solution under the influence of extreme events, resulting in a large number of substations that need to be reinforced and strengthening, leading to high reinforcement costs. Summary of the Invention

[0005] Therefore, it is necessary to provide a robust local power grid network architecture evaluation method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can screen out the optimal solution under extreme conditions to address the above-mentioned technical problems.

[0006] Firstly, this application provides a method for evaluating robust local power grid network architectures. The method includes:

[0007] Obtain important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location.

[0008] The power supply line information is filtered based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized.

[0009] Based on the selected power supply line information, the corresponding substations are set as core substations.

[0010] In one embodiment, the power supply line information is filtered based on a preset number of critical substations, the power supply demand voltage, and the customer's geographical location until the number of important customers is maximized, including:

[0011] Obtain the first power supply critical quantity preset by the first important customer and the second power supply critical quantity preset by the second important customer;

[0012] The power supply line information is filtered based on the first critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the number of the first important customers is maximized, and the filtered power supply line information is set as the first filtered line.

[0013] The first screening line is screened according to the second critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the power supply ratio of the second important customer reaches the preset critical power supply ratio. The first screening line after screening is then set as the second screening line. The power supply ratio of the second important customer is the ratio of the power supply quantity of the second important customer to the number of the second important customer.

[0014] In one embodiment, power supply line information between substations of different voltage levels is obtained;

[0015] The second filtering route is filtered according to the preset voltage step-by-step connection rules, and the filtered second filtering route is set as the third filtering route.

[0016] The corresponding substations are set as core substations based on the third screening line.

[0017] In one embodiment, filtering power supply line information based on a preset number of critical substations, the required power supply voltage, and the customer's geographical location includes:

[0018] A mixed-integer linear model is constructed based on the number of critical substations, the power supply demand voltage, and the geographical location of the customers.

[0019] The solution operation is performed by setting the solver in the mixed-integer linear model;

[0020] This ensures that the number of substations corresponding to the power supply line information obtained from the solution operation is minimized while maximizing the number of important customers.

[0021] In one embodiment, the key customers corresponding to the core substation are obtained;

[0022] Obtain power load data and power supply quantity for key customers;

[0023] When the power supply quantity is greater than the preset power supply standard quantity, the load rate of the corresponding core substation is calculated based on the power supply load data;

[0024] Select the core substation corresponding to the key customers based on the load rate.

[0025] In one embodiment, when a data reading and preprocessing instruction is received, important customer information, substation information, and power supply line information are obtained and sent to a preset display screen;

[0026] When a statistical result instruction is received, the substation name is retrieved from the substation information and sent to the preset display screen;

[0027] When a calculation instruction is received, the substation information output by the hybrid linear model is obtained and sent to a preset display screen;

[0028] When a solution result instruction is received, the substation information corresponding to the core substation is obtained and sent to the preset display screen.

[0029] Secondly, this application also provides a robust local power grid network architecture evaluation device. The device includes:

[0030] The power grid information acquisition module is used to acquire important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location.

[0031] The power grid line screening module is used to screen power supply line information based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized.

[0032] The core substation setting module is used to set the corresponding substation as a core substation based on the filtered power supply line information.

[0033] 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:

[0034] Obtain important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location.

[0035] The power supply line information is filtered based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized.

[0036] Based on the selected power supply line information, the corresponding substations are set as core substations.

[0037] 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:

[0038] Obtain important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location.

[0039] The power supply line information is filtered based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized.

[0040] Based on the selected power supply line information, the corresponding substations are set as core substations.

[0041] 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:

[0042] Obtain important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location.

[0043] The power supply line information is filtered based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized.

[0044] Based on the selected power supply line information, the corresponding substations are set as core substations.

[0045] The aforementioned robust local power grid network architecture assessment method, apparatus, computer equipment, storage medium, and computer program products acquire important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location; the substation information includes the substation's voltage level and geographical location. Power supply line information is filtered based on a preset number of critical substations, the power supply demand voltage, and the customer's geographical location until the number of important customers is maximized. The substations corresponding to the filtered power supply line information are then designated as core substations. This application employs the above method to enhance the analysis of the calculated robust local power grid core substation group, enabling the maintenance of the system's most basic operational capabilities with minimal resources, ensuring the most important basic operational functions in the city, and facilitating a faster restoration of normal system operation. Attached Figure Description

[0046] Figure 1This is a diagram illustrating the application environment of a robust local power grid network architecture evaluation method in one embodiment.

[0047] Figure 2 This is a schematic diagram of the human-computer interaction interface in a robust local power grid network architecture evaluation method in one embodiment;

[0048] Figure 3 This is a flowchart of the core substation screening step in one embodiment;

[0049] Figure 4 This is a comparative diagram of a greedy algorithm in one embodiment;

[0050] Figure 5 A flowchart of the power supply lines corresponding to important customers in one embodiment;

[0051] Figure 6 A flowchart of the power supply lines between substations in one embodiment;

[0052] Figure 7 This is a flowchart illustrating the process of tracing key customers in one embodiment;

[0053] Figure 8 This is a schematic diagram of step-by-step power supply in one embodiment;

[0054] Figure 9 This is a structural block diagram of a robust local power grid network architecture evaluation device in one embodiment;

[0055] Figure 10 This is an internal structural diagram of a computer device in one embodiment;

[0056] Figure 11 This is a diagram of the internal structure of a computer device in another embodiment. Detailed Implementation

[0057] 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.

[0058] The robust local power grid network architecture evaluation method provided in this application embodiment can be applied to, for example... Figure 1 and Figure 2The application environment is illustrated. The human-computer interaction system communicates with the server via a network. Users can operate directly on the human-computer interaction system or communicate with the server through a terminal accessing the system. The data storage system stores the data that the server needs to process. The data storage system can be integrated onto the server or located on the cloud or other network servers. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. The server can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0059] In one embodiment, such as Figure 3 As shown, in this embodiment, the method includes the following steps:

[0060] Step 202: Obtain important customer information, substation information, and power supply line information.

[0061] The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and geographical location. Important customers are pre-defined facilities or units waiting for power supply to ensure the basic operation of the city. Different important customers have different power supply demand voltages. The server first obtains the important customer information and substation information, and generates the corresponding power supply line information based on the power supply demand voltage, substation geographical location, and customer geographical location.

[0062] Step 204: Filter the power supply line information according to the preset number of critical substations, power supply demand voltage, and customer geographical location until the number of important customers is maximized.

[0063] Within the constraint of a preset number of critical substations, the generated power supply line information is filtered based on the power supply demand voltage and customer geographical location until the power supply line information covering the most important customers is selected.

[0064] Step 206: Set the corresponding substation as the core substation based on the filtered power supply line information.

[0065] For example, such as Figure 4As shown, T1-T5 are 110kV substations; L1-L6 are important customers. The server will calculate and select two core substations from the five substations, ensuring that these two substations can supply power to the most important customers. The server's calculation yields T4 and T5. If a greedy algorithm is used, selecting substations in descending order of the number of important customers connected, until all important customers are supplied, the results would be T1, T3, T4, and T5. If the system's calculation and analysis requirements necessitate selecting two core substations, the conventional greedy algorithm would yield T1 and T3. From the above results, it is clear that the greedy algorithm selects one less core substation to supply the load compared to the algorithm in the data processing unit of this device, failing to achieve the optimal solution provided by this device. Therefore, the calculation and analysis results provided by this device, based on the mathematical optimization model, have a significant advantage.

[0066] In the aforementioned robust local power grid network architecture assessment method, firstly, corresponding power supply line information is generated based on important customer information and substation information. Then, based on the preset number of critical substations and important customer information, substations that meet the requirements for supplying power to important customers are screened again until the power supply line information covering the most important customers is selected, and the corresponding substation is set as the core substation. This ensures that the reinforcement of core substations can cover as many important users as possible in extreme situations, thereby guaranteeing the basic operation of the city in extreme situations and facilitating a faster restoration of normal operations. At the same time, the selection of core substations can cover the most important customers, indirectly reducing the number of core substations and thus reducing the cost of maintaining core substations.

[0067] In one embodiment, such as Figure 5 As shown, in extreme cases, even important customers may not be able to receive full power. How to prioritize power supply to important customers in extreme situations? The specific options can be implemented as follows:

[0068] Step 302: Obtain the first power supply critical quantity preset by the first important customer and the second power supply critical quantity preset by the second important customer.

[0069] Among them, important customers include first important customers and second important customers. First important customers need to be fully powered, and second important customers need to be powered at a preset percentage or higher. The first power supply critical quantity corresponding to the first important customer is the number of first important customers, and the second power supply critical quantity corresponding to the second important customer is the product of the number of second important customers and the preset percentage coefficient.

[0070] Step 304: Filter the power supply line information according to the first critical power supply quantity, power supply demand voltage and customer geographical location until the number of the first important customer is maximized, and set the filtered power supply line information as the first filtered line.

[0071] The server obtains the first critical power supply quantity and important customer information, and filters the generated power supply line information. On the basis of ensuring that all the first important customers are supplied with power, the server filters out the corresponding power supply line information and sets one or more of the filtered power supply line information as the first filtered line.

[0072] Step 306: Based on the second critical power supply quantity, power supply demand voltage, and customer geographical location, the first screening line is screened until the power supply ratio of the second important customer reaches the preset critical power supply ratio, and the screened first screening line is set as the second screening line.

[0073] The server obtains the second critical power supply quantity and important customer information, and filters the generated first filter lines. On the basis of ensuring that the power supply quantity of the second important customer reaches the preset critical power supply ratio, the corresponding power supply line information is filtered out and one or more of the filtered power supply line information is set as the second filter line.

[0074] It is worth mentioning that when an important user is powered by four or more substations in the grid connection, it needs to be powered by two core substations in the final second screening line.

[0075] In this embodiment, important customers are classified, and power supply line information is screened a second time based on the first important customer and the second important customer, until the preset critical power supply quantity for different important customers is reached.

[0076] In one embodiment, such as Figure 6 As shown, considering that substations of different voltage levels also need to be connected, the specific line selection between substations includes:

[0077] Step 402: Obtain power supply line information between substations of different voltage levels.

[0078] The power supply line information between substations follows the principle of hierarchical transmission, with the server obtaining the power supply line information corresponding to substations of different voltage levels.

[0079] Step 404: Filter the second filtering route according to the preset voltage step-by-step connection rule and set the filtered second filtering route as the third filtering route.

[0080] Step 406: Set the corresponding substation as the core substation according to the third selected line.

[0081] In one embodiment, filtering power supply line information based on a preset number of critical substations, the required power supply voltage, and the customer's geographical location includes:

[0082] A mixed-integer linear model is constructed based on the number of critical substations, the voltage required for power supply, and the geographical location of customers.

[0083] The server obtains the number of critical substations, the required voltage for power supply, and the geographical location information of customers, and constructs the corresponding mixed-integer linear model.

[0084] By setting the solver in the mixed-integer linear model, the number of substations corresponding to the power supply line information obtained by the solution operation is minimized while the number of important customers is maximized.

[0085] In this process, by setting up a solver, the number of critical substations is limited, and the substations that meet the power supply demand voltage and corresponding geographical location information can cover the maximum number of important customers. The solver is used to perform the solution operation.

[0086] In one embodiment, the key customers corresponding to the core substation include those supplied by multiple substations. When it is necessary to trace the power supply substations of key customers, a tracing operation can be performed on the substations. The tracing operation specifically includes:

[0087] Obtain the key customers corresponding to the core substation; obtain the power supply load data and power supply quantity corresponding to the key customers; when the power supply quantity is greater than the preset power supply standard quantity, calculate the load rate of the corresponding core substation based on the power supply load data; select the core substation corresponding to the key customer based on the load rate.

[0088] For example, such as Figure 7 As shown, the calculated core substations are T4 and T5. Corresponding to this result, the source analysis results for L1, L2, L4, L5, and L6 are relatively clear: L1 and L2 belong to T4, and L4, L5, and L6 belong to T5. However, the attribution of L3 cannot be directly determined. The server has the capability to use the balanced load rate of the rated power supply capacity of each device as the attribution criterion. That is, it selects the minimum variance of the load rate of the power supply capacity of all core substations when L3 belongs to T4 and T5 as the basis, and aims to ensure the balanced load rate of each core substation. This determines the attribution of L3. Assuming that L1 to L6 are all 30MW loads, and T4 and T5 both have a rated capacity of 150MW, attributing L3 to substation T4 will ensure that the capacity of substations T4 and T5 in the system remains balanced. In summary, the server has the capability to perform source analysis on the load to the upstream substation.

[0089] In one embodiment, staff can also connect to a human-computer interaction interface via a terminal or directly issue commands to the server through the human-computer interaction interface to display the corresponding calculation process on a preset display screen. The specific display process includes:

[0090] When a data reading and preprocessing instruction is received, important customer information, substation information, and power supply line information are obtained and sent to the preset display screen;

[0091] When a statistical result instruction is received, the substation name is retrieved from the substation information and sent to the preset display screen;

[0092] When a calculation instruction is received, the substation information output by the hybrid linear model is obtained and sent to a preset display screen;

[0093] When a solution result instruction is received, the substation information corresponding to the core substation is obtained and sent to the preset display screen.

[0094] It is worth mentioning that, such as Figure 8 As shown, T1 and T2 are upstream 220kV substations, and T3 and T4 are 110kV substations. If the connection between T3 and T4 is not considered, the power supply route for important customer L1 is T1-T3-L1, and the power supply route for important customer L2 is T2-T4-L2. At the same time, in actual operation, the energy of the 110kV substation needs to be supplied by the upstream substation, namely the 220kV or 500kV substation.

[0095] Therefore, the server can handle the chain-like structure of interconnected 110kV substations. Assuming both L1 and L2 are powered, the server will provide the core substation combination as T1, T3, T4 or T2, T3, T4. Taking the former as an example, the power supply route for important customer L1 is T1-T3-L1, and the power supply route for important customer L2 is T1-T3-T4-L2. Servers that do not fully consider the interconnection of 110kV substations will not effectively account for situations where 110kV substations require power from their upstream substations. In other words, the analysis and calculation results will be determined as T3 and T4 based on the principle of minimizing the required substations. This result cannot meet actual needs. Even if T3 and T4 survive an extreme event with effective protection, if the two upstream substations T1 and T2 lose power, the two 110kV substations T3 and T4 will also be unable to receive effective power, resulting in an invalid result.

[0096] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0097] Based on the same inventive concept, this application also provides a robust local power grid architecture evaluation device for implementing the robust local power grid architecture evaluation method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the robust local power grid architecture evaluation device provided below can be found in the limitations of the robust local power grid architecture evaluation method described above, and will not be repeated here.

[0098] In one embodiment, such as Figure 9 As shown, a robust local power grid network architecture evaluation device is provided, including: a power grid information acquisition module, a power grid line screening module, an important customer tracing module, a calculation result display module, and a core substation setting module, wherein:

[0099] The power grid information acquisition module is used to acquire information on important customers, substations, and power supply lines. Important customer information includes the voltage required for power supply and the customer's geographical location. Substation information includes the voltage level and geographical location of the substation.

[0100] The power grid line filtering module is used to filter power supply line information based on the preset number of critical substations, power supply demand voltage, and customer geographical location until the number of important customers is maximized.

[0101] The core substation setting module is used to set the corresponding substation as a core substation based on the filtered power supply line information.

[0102] In one embodiment, the power grid line screening module is further configured to: obtain a first power supply critical quantity preset by a first important customer and a second power supply critical quantity preset by a second important customer; screen the power supply line information according to the first power supply critical quantity, the power supply demand voltage, and the customer's geographical location until the quantity of the first important customer is maximized and set the screened power supply line information as the first screened line; screen the first screened line according to the second power supply critical quantity, the power supply demand voltage, and the customer's geographical location until the power supply ratio of the second important customer reaches a preset critical power supply ratio and set the screened first screened line as the second screened line, wherein the power supply ratio of the second important customer is the ratio of the power supply quantity of the second important customer to the quantity of the second important customer.

[0103] In one embodiment, the core substation setting module is further configured to: obtain power supply line information between substations of different voltage levels; filter the second screening route according to a preset voltage level connection rule and set the filtered second screening route as the third screening route; and set the corresponding substation as the core substation according to the third screening route.

[0104] In one embodiment, the power grid line screening module is further configured to: construct a mixed-integer linear model based on the number of critical substations, the power supply demand voltage, and the geographical location of the customers; perform a solution operation by setting a solver in the mixed-integer linear model; and minimize the number of substations corresponding to the power supply line information obtained by the solution operation while maximizing the number of important customers.

[0105] In one embodiment, the important customer tracing module is further configured to: obtain important customers corresponding to the core substation; obtain power supply load data and power supply quantity corresponding to the important customer; when the power supply quantity is greater than the preset power supply standard quantity, calculate the load rate of the corresponding core substation based on the power supply load data; and select the core substation corresponding to the important customer based on the load rate.

[0106] In one embodiment, the calculation result display module is further configured to: when receiving a data reading and preprocessing instruction, acquire important customer information, substation information, and power supply line information and send them to a preset display screen; when receiving a statistical result instruction, acquire the substation name in the substation information and send it to a preset display screen; when receiving a calculation instruction, acquire the substation information output by the hybrid linear model and send it to a preset display screen; and when receiving a solution result instruction, acquire the substation information corresponding to the core substation and send it to a preset display screen.

[0107] Each module in the aforementioned robust local power grid network architecture evaluation 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 corresponding operations of each module.

[0108] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 10 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 non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a robust local power grid network architecture evaluation method.

[0109] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 10 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 robust local power grid network architecture evaluation 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 casing, or an external keyboard, touchpad, or mouse.

[0110] Those skilled in the art will understand that Figure 11 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.

[0111] 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 implement the steps in the above-described method embodiments.

[0112] 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.

[0113] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0114] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0115] 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, and when executed, it 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.

[0116] 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.

[0117] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for evaluating robust local power grid network architecture, characterized in that, The method includes: Obtain important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location. The power supply line information is filtered based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized. Based on the screened power supply line information, the corresponding substations are set as core substations; The important customers include the first important customer and the second important customer. The process of filtering the power supply line information based on the preset number of critical substations, the power supply demand voltage, and the customer's geographical location until the number of important customers reaches its maximum includes: Obtain the first power supply critical quantity preset by the first important customer and the second power supply critical quantity preset by the second important customer; The power supply line information is filtered based on the first critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the number of the first important customers is maximized, and the filtered power supply line information is set as the first filtered line. The first screening line is screened according to the second critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the power supply ratio of the second important customer reaches the preset critical power supply ratio. The first screening line after screening is then set as the second screening line. The power supply ratio of the second important customer is the ratio of the power supply quantity of the second important customer to the number of the second important customer.

2. The method according to claim 1, characterized in that, The method further includes: Obtain information on power supply lines between substations of different voltage levels; The second screening line is screened according to the preset voltage step-by-step connection rule, and the screened second screening line is set as the third screening line. The corresponding substations are set as core substations based on the third screening line.

3. The method according to claim 1, characterized in that, The filtering of power supply line information based on the preset number of critical substations, the required power supply voltage, and the customer's geographical location includes: A mixed-integer linear model is constructed based on the number of critical substations, the required power supply voltage, and the geographical location of the customers. The solution operation is performed by setting the solver in the mixed-integer linear model; This ensures that the number of substations corresponding to the power supply line information obtained from the solution operation is minimized while maximizing the number of important customers.

4. The method according to claim 1, characterized in that, The method further includes: Acquire key customers corresponding to core substations; Obtain power load data and power supply quantity for key customers; When the power supply quantity is greater than the preset power supply standard quantity, the load rate of the corresponding core substation is calculated based on the power supply load data; Select the core substation corresponding to the key customers based on the load rate.

5. The method according to claim 3, characterized in that, The method further includes: When a data reading and preprocessing instruction is received, important customer information, substation information, and power supply line information are obtained and sent to the preset display screen; When a statistical result instruction is received, the substation name is retrieved from the substation information and sent to the preset display screen; When a calculation instruction is received, the substation information output by the mixed integer linear model is obtained and sent to a preset display screen; When a solution result instruction is received, the substation information corresponding to the core substation is obtained and sent to the preset display screen.

6. A robust local power grid network architecture evaluation system, characterized in that, The system includes: The power grid information acquisition module is used to acquire important customer information, substation information, and power supply line information. The important customer information includes the power supply demand voltage and the customer's geographical location. The substation information includes the substation's voltage level and the substation's geographical location. The power grid line screening module is used to screen power supply line information based on the preset number of critical substations, the power supply demand voltage, and the geographical location of the customers until the number of important customers is maximized. The core substation setting module is used to set the corresponding substation as a core substation based on the filtered power supply line information. The important customers include the first important customer and the second important customer. The process of filtering the power supply line information based on the preset number of critical substations, the power supply demand voltage, and the customer's geographical location until the number of important customers reaches its maximum includes: Obtain the first power supply critical quantity preset by the first important customer and the second power supply critical quantity preset by the second important customer; The power supply line information is filtered based on the first critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the number of the first important customers is maximized, and the filtered power supply line information is set as the first filtered line. The first screening line is screened according to the second critical power supply quantity, the power supply demand voltage, and the customer's geographical location until the power supply ratio of the second important customer reaches the preset critical power supply ratio. The first screening line after screening is then set as the second screening line. The power supply ratio of the second important customer is the ratio of the power supply quantity of the second important customer to the number of the second important customer.

7. 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.

8. 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.

9. 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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