A power grid disaster emergency analysis method and device and computer equipment

Abstract

The application discloses a power grid disaster emergency analysis method and device and computer equipment, and relates to the technical field of power grid disaster emergency analysis. The method comprises the following steps: acquiring parameter information of a disaster in a target area; and analyzing a first analysis result of power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model. The preset power equipment simulation model is constructed based on basic operation parameters of the power equipment in the target area and a hierarchical relationship among the power equipment. By acquiring the parameter information of the disaster, the actual disaster information and the preset power equipment simulation model are used to preliminarily judge the disaster situation of the disaster area, so that the statistics of the disaster situation can be completed in the first time, the disaster reaction time is reduced, the best repair time is ensured, the overall damage situation and the development trend of the disaster area are predicted and implemented when reflecting large-scale disasters, and the power emergency decision has an important supporting effect.

Description

Technical Field

[0001] The present invention relates to the technical field of power system simulation, and in particular to a power grid disaster emergency analysis method, device and computer equipment. Background Art

[0002] Natural disasters have become frequent in recent years. After large-scale, long-lasting, and high-intensity natural disasters, power equipment is prone to various failures, severely impacting the entire power supply system. Current power system operation simulations primarily focus on power transmission and construction, lacking analysis methods for disaster response. Consequently, when disasters strike, accurate and timely analysis of power system losses is impossible, hindering immediate repairs and leading to widespread power system failures. Summary of the Invention

[0003] Therefore, the technical problem to be solved by the present invention is to overcome the defect of the existing power system in lacking a disaster emergency work judgment and prediction model, thereby providing a power grid disaster emergency analysis method, device and computer equipment.

[0004] According to the first aspect, an embodiment of the present invention discloses a power grid disaster emergency analysis method, including: obtaining parameter information of the disaster in the target area; analyzing the first analysis result of the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between each power equipment.

[0005] Optionally, the method further includes: obtaining a first emergency repair measure based on the first analysis result and the repair target.

[0006] Optionally, the method further includes: obtaining actual detection results of the power equipment; updating the first analysis result based on the actual detection results to obtain a second analysis result; and obtaining a second emergency repair measure based on the second analysis result and a repair target.

[0007] Optionally, updating the first analysis result based on the actual investigation result to obtain a second analysis result includes: mapping the actual investigation result to the preset power equipment simulation model, and obtaining the second analysis result of the target area based on the parameter information of the disaster.

[0008] Optionally, mapping the actual detection results to the preset power equipment simulation model and obtaining the second analysis result of the target area based on the parameter information of the disaster includes: mapping the actual detection results to the preset power equipment simulation model to obtain a first power equipment simulation model; applying a loss load to the nodes in the first power equipment simulation model based on the parameter information of the disaster to obtain a second equipment simulation model; and obtaining the second analysis result based on the parameter information of the disaster and the second power equipment simulation model.

[0009] Optionally, the process of constructing the preset power equipment simulation model includes: obtaining basic operating parameters of the power equipment in the target area, the basic operating parameters including the category, position relationship and voltage information of the power equipment; constructing a simulation network of the power equipment in the target area based on the category and position relationship; dividing the simulation network into different levels based on the voltage information, the voltage information in the same level is the same, and the same level is a node; dividing the target area into different grids based on the level of the power equipment, each grid having only one level of power equipment, and the size of the grid is proportional to the size of the voltage information; connecting different grids based on the position relationship of the power equipment to obtain the preset power equipment simulation model.

[0010] Optionally, when there are at least two power transmission lines in the grid, the grid is split into at least two grids based on the positional relationship and connection relationship of the power devices in the grid, and there is only one power transmission line in the grids after the split.

[0011] Optionally, the method further includes: establishing a connection relationship between the split grids according to the position relationship of the power devices in the split grids.

[0012] Optionally, the first analysis result of analyzing the power equipment in the target area based on the parameter information of the disaster and the preset power equipment simulation model includes: applying a loss load to the nodes in the preset power equipment simulation model based on the parameter information of the disaster; and obtaining the first analysis result based on the power equipment simulation model after applying the loss load.

[0013] According to the second aspect, an embodiment of the present invention also discloses a power grid disaster emergency analysis device, including: an acquisition module for acquiring parameter information of the disaster in the target area; an analysis module for analyzing a first analysis result of the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between each power equipment.

[0014] According to the third aspect, an embodiment of the present invention further discloses a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the power grid disaster emergency analysis method as described in the first aspect or any optional embodiment of the first aspect.

[0015] According to the fourth aspect, an embodiment of the present invention further discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the power grid disaster emergency analysis method as described in the first aspect or any optional embodiment of the first aspect.

[0016] The technical solution of the present invention has the following advantages:

[0017] The power grid disaster emergency analysis method, apparatus, and computer equipment provided by the present invention include: obtaining parameter information of a disaster in a target area, and analyzing a first analysis result of the power equipment in the target area based on the disaster parameter information and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between the power equipment. By obtaining the disaster parameter information and making a preliminary assessment of the disaster situation in the affected area based on the actual disaster information and the preset power equipment simulation model, the statistics of the disaster situation can be completed in the shortest possible time, reducing the disaster response time and ensuring the optimal repair time, which has an important supporting effect on power emergency decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 This is a flowchart of a specific example of a power grid disaster emergency analysis method according to an embodiment of the present invention;

[0020] Figure 2 This is a flowchart of a specific example of a power grid disaster emergency analysis method according to an embodiment of the present invention;

[0021] Figure 3 Schematic diagram of a specific example of a power grid disaster emergency analysis method according to an embodiment of the present invention;

[0022] Figure 4 This is a principle block diagram of a specific example of a power grid disaster emergency analysis device according to an embodiment of the present invention;

[0023] Figure 5 FIG. 4 is a diagram showing a specific example of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0026] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components; wireless connections or wired connections. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0027] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0028] The embodiment of the present invention discloses a method for analyzing power grid disaster emergency situations. Figure 1 As shown, the method includes the following steps:

[0029] Step 101: Obtain parameter information of disasters in a target area.

[0030] For example, the target area may be an area affected by a disaster, and the disaster parameter information may include the type of disaster that has occurred, its duration, and its severity. The embodiments of the present invention do not limit the disaster parameter information, type, or quantity, and those skilled in the art may determine the information based on actual needs.

[0031] Step 102: Analyze the first analysis result of the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between each power equipment.

[0032] For example, the first analysis result may be the loss of power equipment in the corresponding target area based on the disaster parameter information. The loss of power equipment may include information such as whether the power supply of power equipment at all levels is normal and whether the equipment is damaged. For damaged power equipment, the damage statistics may be collected. The embodiments of the present invention do not limit the type of power equipment loss, and those skilled in the art may determine this based on actual needs. The power equipment may include power stations, substations, converter stations, transmission towers, and other power equipment within the target area. Basic operating parameters may include the range, geographic location, voltage, and the connection relationship between various facilities within the target area. The embodiments of the present invention do not limit the type and quantity of power equipment within the target area, and those skilled in the art may determine this based on actual needs. Based on the acquired parameter information of the disaster, the parameter information is input into a power equipment model that is consistent with the actual power equipment status in the target area. This allows for an immediate prediction of the damage in the target area, enabling a first-hand understanding of the disaster situation in the target area and ensuring timely repairs after the disaster.

[0033] The present invention provides a power grid disaster emergency analysis method, which includes obtaining parameter information of a disaster in a target area, and analyzing a first analysis result of the power equipment in the target area based on the disaster parameter information and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between the power equipment. By obtaining the disaster parameter information and making a preliminary assessment of the disaster situation in the affected area based on the actual disaster information and the preset power equipment simulation model, the disaster situation can be statistically analyzed in the shortest possible time, reducing the disaster response time and ensuring the optimal repair time, which has an important supporting effect on power emergency decision-making.

[0034] As an optional embodiment of the present invention, the method further includes:

[0035] Step 103: Obtain a first emergency repair measure based on the first analysis result and the repair target.

[0036] For example, the emergency repair goal can be the overall macro-goal of emergency repairs in the target area. Specifically, it can be minimizing economic losses, minimizing residential power outages, and quickly restoring power to important users. Based on the predicted losses in the target area and the emergency repair goals, corresponding emergency repair measures are generated. For example, when the emergency repair goal is set to prioritize the fastest power restoration for important users, the corresponding emergency repair measures should first be to sort out the power equipment that supplies power to important users and repair the involved power equipment based on their importance. Based on the determined emergency repair measures, the approximate time for restoration of operation at different nodes can be estimated. It can also be predicted how much power will be restored to the entire affected area after the power facilities / equipment at a certain node are repaired in the future. Ultimately, a prediction of power restoration status can be generated for the entire emergency repair process. The corresponding emergency repair measures can be determined by querying a table such as a disaster repair sequence table to determine the relevant measures. For example, when the emergency repair goal is to quickly restore power to important users, the corresponding emergency repair measure determined by consulting the table is to prioritize repairs to the infrastructure surrounding important users. The embodiment of the present invention does not limit the types and quantities of emergency repair targets and the methods of emergency repair measures, and those skilled in the art can determine them according to actual needs.

[0037] As an optional embodiment of the present invention, the method further includes:

[0038] Step 104: Obtain actual detection results of the power equipment; update the first analysis result based on the actual detection results to obtain a second analysis result; and obtain a second emergency repair measure based on the second analysis result and a repair target.

[0039] For example, the first time may be the time for immediate emergency repairs to the target area based on the parameter information of the disaster. During the first-time emergency repairs and investigations based on the first analysis results within the first time, the actual loss results in the target area can be further obtained, and the damage conditions of the corresponding power equipment and the damage conditions of the surrounding environment in the actual investigation results can be mapped one by one to the preset power equipment simulation model. In this way, the power equipment simulation model can truly and effectively reflect the actual disaster situation in the target area, and the data obtained by analysis is more convincing.

[0040] The second analysis result in the target area is obtained by mapping the power equipment simulation model of the actual investigation results, wherein the second analysis result can be the overall loss status, the calculated power supply impact, etc. The embodiment of the present invention does not limit the type of the second analysis result, and those skilled in the art can determine it according to actual needs. Based on the second analysis result, further emergency repair measures can be obtained in combination with the emergency repair target. The emergency repair measures can be to open up the power transmission channel for important users first, start emergency repairs from high-level voltage facilities, and restore the power supply capacity of the majority of people in the fastest order based on probability theory calculations. Specific emergency repair measures may include the repair order of different power facilities, when each damaged power facility can start repairs, and when the repairs are completed.

[0041] As an optional embodiment of the present invention, step 104 includes: mapping the actual detection results to the preset power equipment simulation model to obtain a first power equipment simulation model; applying a loss load to the nodes in the first power equipment simulation model based on the parameter information of the disaster to obtain a second equipment simulation model; and obtaining the second analysis result based on the parameter information of the disaster and the second power equipment simulation model.

[0042] For example, in the process of mapping the actual investigation results to the preset power equipment simulation model, different degrees of load can be applied to the nodes corresponding to the actual power equipment in the power equipment simulation model according to the damage situation. The more serious the damage, the greater the load applied. The connectivity of the power equipment can be verified based on the power equipment simulation model to verify whether the power supply of various areas in the disaster area can continue to be guaranteed in the event of a disaster. The verification method is to calculate the path from the power station node or the external entry node to the final power consumption area. If the corresponding path is the same as the actual one, the power supply is normal, otherwise it is abnormal. The disaster loss result prediction work is based on the basic parameters of different disasters, combined with the calculation of the disaster loss prediction model, and further considers the comprehensive effect of the disaster chain between different types of disasters in major disasters, to carry out research on the loss prediction algorithm.

[0043] Specifically, the following is a specific implementation of the calculation process of the disaster loss prediction model: Step A: Obtain meteorological parameter information about the disaster from official departments; Step B: Based on the disaster information, predict the probability of damage to power facilities and equipment in different locations through big data analysis, physical models, or probabilistic analysis models; Step C: Conduct secondary derivative analysis of the disaster, and further use the model from Step B to predict secondary derivative disaster losses; Step D: Finally, complete the prediction of power facility and equipment losses within the region. This embodiment of the present invention does not limit the model type and prediction method of the disaster loss prediction model, and those skilled in the art can determine it according to actual needs.

[0044] As an optional embodiment of the present invention, the process of constructing the power equipment simulation model preset in step 102 includes:

[0045] Step 201: Obtain basic operating parameters of power equipment within a target area. The basic operating parameters include the type, location, and voltage information of the power equipment. For example, the basic operating parameters of the power equipment may include the type (such as power stations, substations, converter stations, and transmission poles), location (geographic coordinates of the power equipment), and voltage information (voltage level during operation of the power equipment, which may be classified into different voltage levels) of all power equipment related to the power supply equipment within the target area.

[0046] Step 202: Construct a simulated network of power devices within the target area based on the categories and location relationships. For example, all power devices within the target area are combined to form a simulated network based on their categories and locations. This effectively reflects the layout of power devices within the target area, enhancing the authenticity of the simulated network.

[0047] Step 203: Divide the simulated network into different levels based on the voltage information. Levels with the same voltage information are considered a node. For example, different power devices operate at different voltages. The simulated network corresponding to each power device is divided into different levels based on the voltage of the power device. All power devices within a level are considered a node. Treating power devices within a level as a node allows for unified management of similar power devices, improving the processing speed of the simulated network for power devices.

[0048] Step 204: Divide the target area into different grids based on the level of the power equipment. Each grid contains only one level of power equipment, and the size of the grid is proportional to the voltage information. For example, the grid size of each level is associated with the voltage level of the level, and the area is gridded using squares or hexagons. The resulting networks have different sizes at different levels, with higher voltage levels generally having larger grid sizes. This reflects the high energy consumption of power equipment at higher voltage levels and allows for intuitive visualization of the distribution of power facilities within the simulated network of power equipment.

[0049] Step 205: Connecting the different grids based on the positional relationship of the power equipment to obtain the preset power equipment simulation model.

[0050] As an optional embodiment of the present invention, when there are at least two power transmission lines in the grid, the grid is split into at least two grids based on the positional relationship and connection relationship of the power equipment within the grid, and there is only one power transmission line in the split grids.

[0051] For example, a power transmission line is a transmission line for supplying power between power devices. Each grid includes at least one power device. When there are two or more power devices in a grid, there will be two or more power transmission lines in the corresponding grid. There are two routes in a grid. When one of the routes is damaged, it does not mean that the entire grid is unusable. Since the number of external connections of a single grid is fixed, the grid needs to be split so that there is only one line in a grid, thereby ensuring that the line in the grid can represent the entire grid. Figure 3 As shown, the left side of the figure shows a grid containing two lines, while the right side shows a grid with only one line after being split. The connection between the split grids is determined by the location of the power equipment in the grid. The embodiments of the present invention do not limit the grid splitting rules, as long as the split grids have only one line. Those skilled in the art can determine the rules based on actual needs.

[0052] As an optional embodiment of the present invention, step 102 includes: applying a loss load to a node in the preset power equipment simulation model based on parameter information of the disaster; and obtaining the first analysis result based on the power equipment simulation model after applying the loss load.

[0053] For example, when inputting disaster parameter information into the preset power equipment simulation model, varying degrees of load can be applied to nodes in the power equipment simulation model corresponding to actual power equipment based on the damage situation. The more severe the damage, the greater the applied load, and a fixed distance is added to the connection between the damaged node and surrounding nodes. A specific method can use the Dijkstra algorithm to calculate the distance between nodes. By controlling the distance of the lines, changes in power transmission capacity can be represented. Specifically, the distance between different grids during normal operation can be set to 0.01, and the distance between a damaged grid and all surrounding nodes can be set to 1000, so that the distance between damaged nodes is much greater than the distance during normal power transmission.

[0054] The embodiment of the present invention also discloses a power grid disaster emergency analysis device, such as Figure 4 As shown, the device includes:

[0055] The acquisition module 401 is used to acquire parameter information of the disaster in the target area. For example, the details are described in step 101 in the above method embodiment, which will not be repeated here.

[0056] Analysis module 402 is configured to analyze a first analysis result of the power equipment in the target area based on the disaster parameter information and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationships between the power equipment. For example, the details are described in step 102 of the above method embodiment and are not further described here.

[0057] The power grid disaster emergency analysis device provided by the present invention includes: an acquisition module for acquiring parameter information of a disaster in a target area; and an analysis module for analyzing a first analysis result of the power equipment in the target area based on the disaster parameter information and a preset power equipment simulation model; the preset power equipment simulation model is constructed based on the basic operating parameters of the power equipment in the target area and the hierarchical relationship between the power equipment. By acquiring the disaster parameter information and making a preliminary assessment of the disaster situation in the affected area based on the actual disaster information and the preset power equipment simulation model, the disaster situation can be statistically analyzed in the shortest possible time, reducing the disaster response time and ensuring the optimal repair time, which has an important supporting effect on power emergency decision-making.

[0058] As an optional embodiment of the present invention, the apparatus further includes: a first emergency repair module 403, configured to obtain a first emergency repair measure based on the first analysis result and the emergency repair target.

[0059] As an optional embodiment of the present invention, the apparatus further includes: a second emergency repair module 404 configured to obtain actual inspection results of the power equipment; update the first analysis result based on the actual inspection results to obtain a second analysis result; and obtain a second emergency repair measure based on the second analysis result and the repair target. For example, the details are described in step 104 of the above method embodiment and are not further elaborated here.

[0060] As an optional embodiment of the present invention, the second emergency repair module 404 includes: mapping the actual detection results to the preset power equipment simulation model to obtain a first power equipment simulation model; applying a loss load to nodes in the first power equipment simulation model based on the disaster parameter information to obtain a second equipment simulation model; and obtaining a second analysis result based on the disaster parameter information and the second power equipment simulation model. For example, the details are described in step 104 of the above method embodiment and are not further elaborated here.

[0061] As an optional embodiment of the present invention, constructing the power equipment simulation model preset in the module 402 includes:

[0062] Acquisition module: used to acquire basic operating parameters of power equipment in the target area, including the type, location relationship and voltage information of the power equipment, etc. For example, the details are described in step 201 in the above method embodiment and will not be repeated here.

[0063] The construction module is used to construct a simulation network of the power equipment in the target area based on the category and location relationship. For example, the details are described in step 202 of the above method embodiment, which will not be repeated here.

[0064] The layer division module is used to divide the simulation network into different layers based on the voltage information. The voltage information in the same layer is the same, and the same layer is a node. For example, the details are described in step 203 of the above method embodiment and will not be repeated here.

[0065] A grid division module is configured to divide the target area into different grids based on the hierarchy of the power equipment, wherein each grid contains only one level of power equipment, and the size of the grid is proportional to the size of the voltage information. For example, the details are described in step 204 of the above method embodiment and are not further described here.

[0066] The connection module is used to connect different grids based on the positional relationship of the power equipment to obtain the preset power equipment simulation model. For example, the details are described in step 205 of the above method embodiment and will not be repeated here.

[0067] As an optional embodiment of the present invention, in the grid division module, when there are at least two power transmission lines in the grid, the grid is split into at least two grids based on the positional relationship and connection relationship of the power equipment within the grid, and there is only one power transmission line within the split grid.

[0068] As an optional embodiment of the present invention, analysis module 402 includes: applying a loss load to nodes in the preset power equipment simulation model based on the disaster parameter information; and obtaining the first analysis result based on the power equipment simulation model after applying the loss load. For example, the details are described in step 102 of the above method embodiment and are not further described here.

[0069] The embodiment of the present invention also provides a computer device, such as Figure 5 As shown, the computer device may include a processor 501 and a memory 502, wherein the processor 501 and the memory 502 may be connected via a bus or other means. Figure 3 The bus connection is taken as an example.

[0070] The processor 501 may be a central processing unit (CPU). The processor 501 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0071] Memory 502, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as the program instructions / modules corresponding to the power grid disaster emergency analysis method in the embodiments of the present invention. Processor 501 executes the non-transitory software programs, instructions, and modules stored in memory 502 to perform various processor functions and data processing, thereby implementing the power grid disaster emergency analysis method in the above-mentioned method embodiment.

[0072] The memory 502 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created by the processor 501, etc. In addition, the memory 502 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 502 may optionally include a memory remotely located relative to the processor 501, and these remote memories may be connected to the processor 501 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0073] The one or more modules are stored in the memory 502 and when executed by the processor 501, perform the following steps: Figure 1 The power grid disaster emergency analysis method in the illustrated embodiment.

[0074] For details of the above computer equipment, please refer to Figure 1 The corresponding descriptions and effects in the embodiments shown can be understood and will not be repeated here.

[0075] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD). The storage medium can also include a combination of the above-mentioned types of memory.

[0076] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A power grid disaster emergency analysis method, characterized in that: include: Obtain parameter information of disasters in the target area; Analyzing a first analysis result of the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model, wherein the first analysis result includes a loss situation of the power equipment in the corresponding target area obtained according to the parameter information of the disaster; the preset power equipment simulation model is constructed based on basic operating parameters of the power equipment in the target area and a hierarchical relationship between each power equipment; The process of constructing the preset power equipment simulation model includes: Obtaining basic operating parameters of power equipment within the target area, the basic operating parameters including type, location relationship, and voltage information of the power equipment; Constructing a simulation network of power equipment in the target area based on the category and location relationship; Dividing the simulation network into different levels based on the voltage information, wherein the voltage information in the same level is the same, and the same level is a node; Dividing the target area into different grids based on the levels of the power equipment, each grid having only one level of power equipment, and the size of the grid being proportional to the size of the voltage information; The different grids are connected based on the positional relationship of the power equipment to obtain the preset power equipment simulation model.

2. The method according to claim 1, characterized in that The method further comprises: A first emergency repair measure is obtained based on the first analysis result and the repair target.

3. The method according to claim 1, characterized in that The method further comprises: Obtaining actual detection results of the electrical equipment; updating the first analysis result based on the actual investigation result to obtain a second analysis result; A second emergency repair measure is obtained based on the second analysis result and the repair target.

4. The method according to claim 3, characterized in that Updating the first analysis result based on the actual investigation result to obtain a second analysis result includes: The actual investigation result is mapped to the preset power equipment simulation model, and a second analysis result of the target area is obtained based on the parameter information of the disaster.

5. The method according to claim 4, characterized in that Mapping the actual reconnaissance result to the preset power equipment simulation model and obtaining a second analysis result of the target area based on the parameter information of the disaster includes: Mapping the actual detection result to the preset power equipment simulation model to obtain a first power equipment simulation model; Applying loss loads to nodes in the first power equipment simulation model based on parameter information of the disaster to obtain a second power equipment simulation model; The second analysis result is obtained based on the parameter information of the disaster and the second power equipment simulation model.

6. The method according to claim 1, characterized in that When there are at least two power transmission lines in the grid, the grid is split into at least two grids based on the positional relationship and connection relationship of the power devices in the grid, and there is only one power transmission line in the grids after the splitting.

7. The method according to claim 6, characterized in that Also includes: A connection relationship between the split grids is established according to the position relationship of the power equipment in the split grids.

8. The method according to any one of claims 1 to 7, characterized in that The first analysis result of analyzing the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model includes: Applying loss loads to nodes in the preset power equipment simulation model based on parameter information of the disaster; The first analysis result is obtained based on a simulation model of the power equipment after applying a loss load.

9. A power grid disaster emergency analysis device, characterized in that: include: An acquisition module is used to obtain parameter information of disasters in the target area; an analysis module configured to analyze a first analysis result of the power equipment in the target area based on the parameter information of the disaster and a preset power equipment simulation model, wherein the first analysis result includes a loss situation of the power equipment in the corresponding target area obtained based on the parameter information of the disaster; the preset power equipment simulation model is constructed based on basic operating parameters of the power equipment in the target area and a hierarchical relationship between each power equipment; Constructing the power equipment simulation model preset in the analysis module includes: Acquisition module: used to acquire basic operating parameters of power equipment in the target area, the basic operating parameters including the type, location relationship and voltage information of the power equipment; A construction module: configured to construct a simulation network of power equipment in the target area based on the categories and location relationships; A layer division module is configured to divide the simulation network into different layers based on the voltage information. The voltage information in the same layer is the same, and the same layer is a node. A grid division module is configured to divide the target area into different grids based on the levels of the power equipment, wherein each grid contains only one level of power equipment, and the size of the grid is proportional to the size of the voltage information; A connection module is used to connect different grids based on the positional relationship of the power equipment to obtain the preset power equipment simulation model.

10. A computer device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the power grid disaster emergency analysis method as described in any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power grid disaster emergency analysis method according to any one of claims 1 to 8 are implemented.

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