Two-stage elastic recovery method, system and equipment of power distribution system and storage medium

Abstract

The invention discloses a power distribution system two-stage elastic recovery method, system and device and a storage medium, and the method comprises the following steps: S1, calculating the minimum recovery time of a fault through the routing and scheduling model of maintenance personnel based on post-disaster data; and S2, setting a recovery duration based on the minimum recovery time, minimizing load shedding within the recovery duration based on the optimal power distribution system recovery model, and outputting to obtain an optimal recovery strategy. According to the method, balance is obtained between recovery duration and load reduction, proper fault recovery duration is determined, partitioning and fusion of the micro-grid are considered, and the model is compared with an existing dynamic network reconstruction recovery model. Finally, when a disaster occurs, the proposed model can comprehensively consider the shortest repair time and the tolerance of a decision maker, comprehensively consider the fusion between island micro-grids and the self-splitting of the micro-grids, and recover as many loads as possible within a recovery duration, thereby greatly improving the recovery capability of a power distribution system.

Description

Technical Field

[0001] The present invention belongs to the field of unbalanced power distribution systems, and relates to a two-stage elastic recovery method, system, equipment and storage medium for a power distribution system. Background Art

[0002] In recent years, emergencies with high impact and low probability, such as extreme weather and man-made attacks, have led to large-scale power outages. As a core component of the power system, the distribution system is closely related to customer load services and is very susceptible to extreme events. Improving the resilience of the distribution system through effective recovery is an important way to reduce power outages and mitigate economic losses. Therefore, improving the resilience of the distribution system under extreme events has become an urgent problem to be solved.

[0003] There are many studies on the resilience recovery of distribution systems, most of which focus on network reconfiguration, distributed energy resource scheduling, mobile power scheduling, and maintenance team scheduling. Resilient recovery aims to minimize load shedding and recovery. However, most existing studies only predefine the recovery duration based on subjective speculation or assumptions. If the predefined duration is too short, the system may not be able to achieve full recovery. On the contrary, pre-defining a long duration is conducive to reducing load shedding, but it is not conducive to quickly restoring all loads. Regarding network reconstruction strategies, most existing studies only focus on simply changing the radial topology within the microgrid or dynamically changing the boundaries of the microgrid, and rarely consider the integration between isolated microgrids and the self-splitting of microgrids, especially in the field of optimization research, which greatly limits the flexibility of network reconfiguration. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a two-stage elastic recovery method, system, device and storage medium for a distribution system, which can restore as much load as possible within a recovery duration, thereby greatly improving the recovery capability of the distribution system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A two-stage elastic recovery method for a power distribution system includes the following processes: S1, based on post-disaster data, calculates the minimum repair time of the fault through the routing and scheduling model of maintenance personnel; S2, sets the restoration duration based on the minimum repair time, minimizes the load shedding within the restoration duration based on the optimal distribution system restoration model, and outputs the optimal restoration strategy.

[0006] Preferably, the routing and scheduling model includes a routing problem and a scheduling problem. The routing problem is to select a route for each maintenance personnel between the damaged component and the damaged component, and the scheduling problem is to make a schedule for the travel and maintenance behavior of the resident coordinator.

[0007] Preferably, in the routing and scheduling model, all maintenance personnel start from node "0" and go back to node "end" after the entire repair work is completed, where nodes "0" and "end" are virtual nodes referring to the warehouse, representing the starting point and end point of the maintenance team respectively; each damaged component only needs to be repaired once by one team, and it is ensured that each fault can only be repaired once during the entire recovery phase; for each maintenance personnel who arrives at the faulty node, they will leave the node and move to the next node; the maintenance personnel c Arrival Node i The time is subject to maintenance personnel c Whether to reach the node i The constraints of this logical behavior are; each faulty line is energized after repair; and the total repair time is greater than or equal to the available time of each component.

[0008] Preferably, in S2, various types of static and mobile resources are fully considered, the integration between isolated microgrids and the self-splitting of microgrids are considered, the total weighted load shedding is minimized within the restoration duration, and the optimal restoration strategy is output.

[0009] Furthermore, mobile resources include mobile power sources, mobile emergency generators, and mobile energy storage systems.

[0010] Furthermore, during the recovery phase, a microgrid has a probability of being split into two or more microgrids; over a period of time, multiple microgrids have a probability of merging into one microgrid.

[0011] Preferably, after obtaining the optimal recovery strategy, its effectiveness is verified based on case analysis.

[0012] A two-stage elastic recovery system for a power distribution system, comprising: The minimum repair time calculation module is used to calculate the minimum repair time of the fault based on the post-disaster data through the routing and scheduling model of the maintenance personnel; The restoration strategy calculation module is used to set the restoration duration based on the minimum repair time, minimize the load shedding within the restoration duration based on the optimal distribution system restoration model, and output the optimal restoration strategy.

[0013] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the two-stage elastic recovery method of the power distribution system when executing the computer program.

[0014] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the two-stage elastic recovery method for a power distribution system.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention strikes a balance between the restoration duration and load reduction, determines the appropriate fault restoration duration, and considers the partitioning and fusion of microgrids, and compares it with the existing dynamic network reconstruction restoration model. Finally, when a disaster occurs, the proposed model can comprehensively consider the shortest repair time and the tolerance of decision makers, comprehensively consider the fusion between isolated microgrids and the self-splitting of microgrids, and restore as much load as possible within a restoration duration, thereby greatly improving the restoration capacity of the distribution system. The effectiveness of this method is verified through example analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the two-stage elastic recovery method for the power distribution system proposed by the present invention.

[0017] Figure 2 It is a schematic diagram of scheduling of maintenance personnel in the present invention.

[0018] Figure 3 It is a schematic diagram of the modified IEEE 33-node test system in the present invention.

[0019] Figure 4 It is the load reduction amount (unit: kW), load recovery amount (unit: kW) and total load reduction amount (unit: percentage) of each phase in Example 1 of the present invention.

[0020] Figure 5 It is the load reduction amount (unit: kW), load recovery amount (unit: kW) and total load reduction amount (unit: percentage) of each phase in Example 2 of the present invention.

[0021] Figure 6 It is the load reduction amount (unit: kW), load recovery amount (unit: kW) and total load reduction amount (unit: percentage) of each phase in Example 3 of the present invention. DETAILED DESCRIPTION

[0022] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0023] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs. The terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or can communicate with each other; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. The term "and / or" used in this article includes any and all combinations of one or more related listed items. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0025] The disclosure below provides many different embodiments or examples to realize different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention. In addition, the present invention can repeat reference numbers and / or reference letters in different examples, and this repetition is for the purpose of simplicity and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides various specific examples of processes and materials, but those of ordinary skill in the art can be aware of the application of other processes and / or the use of other materials.

[0026] like Figure 1As shown in the figure, the two-stage elastic recovery method of the distribution system considering the integration of microgrid intelligent partitions according to the present invention is as follows: First, based on the input post-disaster data, the minimum repair time of the fault is calculated through the routing and scheduling model of the maintenance personnel to help decision makers choose an acceptable recovery time; secondly, based on the optimal distribution system recovery model, the load shedding is minimized within a given recovery time, thereby generating the optimal recovery strategy as its output. Finally, the proposed two-stage elastic recovery method of the distribution system considering the integration of microgrid intelligent partitions is tested on the IEEE33 node example system. Ultimately, when a disaster occurs, the proposed model can comprehensively consider the shortest repair time and the tolerance of the decision maker, as well as the integration between isolated microgrids and the self-split of microgrids, and restore as much load as possible within a recovery duration, thereby greatly improving the recovery capability of the distribution system.

[0027] The specific steps include: Step 1: Based on the input post-disaster data, the minimum repair time is calculated through the maintenance personnel routing and scheduling model.

[0028] When a disaster occurs, maintenance personnel will immediately start repairing damaged lines from the warehouse. Usually, the number of damaged lines is much greater than the number of maintenance personnel (RC), which leads to the optimization scheduling problem of maintenance personnel, including the routing and scheduling problems of RC. The routing and scheduling model includes routing problems and scheduling problems. The routing problem is to select a route for each RC between the damaged components, and the scheduling problem is to make a schedule for the travel and maintenance behavior of the resident coordinator. The routes and scheduling of maintenance personnel are as follows: Figure 2 The maintenance personnel routing and scheduling (RSRC) model is used to obtain the predefined minimum repair time for the fault recovery duration. The constraints are as follows:

[0029]

[0030]

[0031]

[0032]

[0033]

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041] Where: Indicates maintenance personnel c Whether to move from node 0 to node I, / / / and similar; Indicates damaged nodes j Is it by maintenance personnel? c repair; Indicates maintenance personnel c Arrival Node i Time, similar; Indicates maintenance personnel c Fixing a fault j the time required; Represents a slave node i To Node j Journey time; M Indicates a fairly large number; Representation Node i Is it in time t be repaired; Indicates the total maintenance time.

[0042] The above constraints indicate that: all maintenance personnel start from node "0" and return to node "end" after the entire repair work is completed, where nodes "0" and "end" are virtual nodes referring to the warehouse, representing the starting point and end point of the maintenance team respectively; each damaged component only needs to be repaired once by one team, and it is ensured that each fault can only be repaired once during the entire recovery phase; for each maintenance personnel who arrives at the faulty node, they will leave the node and move to the next node; the maintenance personnel c Arrival Node i The time is subject to maintenance personnel c Whether to reach the node i The limits of this logical behavior; each faulty line can be energized after repair; the total repair time Greater than or equal to the available time of each component (the time it takes for maintenance personnel to arrive at the fault and the corresponding repair time), that is, the time required to fully restore the entire distribution system is greater than or equal to the sum of the times required to repair each damaged part of the system.

[0043] In step 2, the load shedding is minimized within the set restoration duration based on the optimal distribution system restoration (DSR) model, thereby generating the optimal restoration strategy as its output.

[0044] According to the minimum restoration time calculated in the first stage, the restoration duration is set to strategically dispatch maintenance personnel to repair the damaged components so that they are available within the restoration period. Various static and mobile resources, such as mobile power supplies (MPS), mobile emergency generators (MEG), mobile energy storage systems (MESS), etc., are fully considered. The integration between isolated microgrids and the self-splitting of microgrids are considered. Within a given restoration duration, T Minimize the total weighted load shedding and output the recovery strategy. The constraints of the intelligent partition fusion model are as follows:

[0045]

[0046]

[0047]

[0048]

[0049]

[0050]

[0051]

[0052]

[0053]

[0054]

[0055] Where: Representation Node i Is it a black start node? b microgrid area; Representation Node b Whether it is a true black start node; Indicates line ij The switch status; Representation Node j Is it a node? i The parent node of The above constraints indicate that: during the recovery phase, a microgrid may be split into two or more microgrids; for a period of time, two or more microgrids may merge into one microgrid.

[0056] Step three, based on case analysis, the effectiveness of the two-stage elastic recovery method of the distribution system considering the integration of microgrid intelligent partitions is verified.

[0057] The proposed two-stage elastic recovery method for distribution system is tested on the IEEE 33-node distribution system. In order to show the recovery effect of the two-stage elastic recovery method for distribution system considering the integration of microgrid intelligent partitions, it is compared and analyzed with the constructed two-stage recovery model based on dynamic network reconstruction. Example 1: Proposed method, that is, the two-stage elastic recovery method for distribution system considering the integration of microgrid intelligent partitions. Example 2: The situation under the traditional method, that is, the two-stage recovery model based on dynamic network reconstruction. Example 3: Example 2 without mobile power supply, used to verify the importance of mobile power supply participation.

[0058] Load type classification / distributed energy parameters: For the types and parameter correspondence of each node, please refer to Table 1 and Table 2.

[0059] Table 1

[0060] Table 2

[0061] Modified IEEE 33-node test system: see Figure 3 , the test system is an unbalanced distribution system with 4 damaged lines, a rated voltage of 12.66 kV, and a total peak of 7941.4 kW for the three-phase unbalanced load. The mobile resources include 1 MEG, 1 MESS, and 2 RCs. It is assumed that the repair time of the damaged lines (9, 10), (2, 19), (3, 23), and (27, 28) are 0.5 h, 0.25 h, 0.75 h, and 0.5 h, respectively. The travel time of the mobile resources between any two nodes is randomly generated and is limited to 60 minutes. The number of MPSs that can be accessed simultaneously by the mobile power stations at nodes 8, 14, 19, and 30 is 1, 2, 1, and 1, respectively.

[0062] Load reduction (unit: kW), load recovery (unit: kW), and total load reduction (unit: percentage) for each phase under the three examples: Figure 4 , Figure 5 and Figure 6, the stacked bar charts represent the system load shedding and recovery of each phase at each time step for Cases 1, 2 and 3, respectively, and the line charts represent the total load shedding (percentage) of the three phases for Cases 1, 2 and 3, respectively. The total load shedding of Case 1 over the entire time step is 3087.56 kW; the total load shedding of Case 2 is 4554.54 kW; and the total load shedding of Case 3 is 5769.30 kW. Among the three cases, Case 1 has the smallest load shedding, which directly demonstrates the effectiveness of the proposed two-stage resilience recovery. Since the disaster recovery strategy starts at the end of the first step of the disaster, the load shedding in the three cases in time step 1 is the same, 5077.31 kW (30.71%), while at the last time step, the total load in Case 1 is fully restored, while the load shedding in Case 2 is 2022.54 kW (15.15%). Therefore, the proposed model has better performance in terms of overall restoration effect and load reduction effect in the last time step due to the intelligent partition fusion of microgrids and the supply of mobile power sources.

[0063] It can be seen from the above figures that compared with the existing methods, the two-stage elastic recovery method of the distribution system considering the integration of microgrid intelligent partitions constructed by the present invention has better post-disaster recovery capabilities.

[0064] The following are device embodiments of the present invention, which can be used to perform method embodiments of the present invention. For details not disclosed in the device embodiments, please refer to the method embodiments of the present invention.

[0065] In another embodiment of the present invention, a two-stage elastic recovery system for a power distribution system is provided. The two-stage elastic recovery system for a power distribution system can be used to implement the above-mentioned two-stage elastic recovery method for a power distribution system. Specifically, the two-stage elastic recovery system for a power distribution system includes a minimum repair time calculation module and a recovery strategy calculation module.

[0066] Among them, the minimum repair time calculation module is used to calculate the minimum repair time of the fault based on the post-disaster data through the routing and scheduling model of the maintenance personnel.

[0067] The restoration strategy calculation module is used to set the restoration duration based on the minimum repair time, minimize the load shedding within the restoration duration based on the optimal distribution system restoration model, and output the optimal restoration strategy.

[0068] In another embodiment of the present invention, a terminal device is provided, the terminal device includes a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the two-stage elastic recovery method of the distribution system, including: S1, based on post-disaster data, the minimum repair time of the fault is calculated through the routing and scheduling model of the maintenance personnel; S2, based on the minimum repair time, the recovery duration is set, and the load shedding is minimized within the recovery duration based on the optimal distribution system recovery model, and the optimal recovery strategy is output.

[0069] In another embodiment, the present invention further provides a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory.

[0070] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the two-stage elastic recovery method of the distribution system in the above-mentioned embodiment; one or more instructions in the computer-readable storage medium are loaded by the processor and execute the following steps: S1, based on post-disaster data, the minimum repair time of the fault is calculated through the routing and scheduling model of maintenance personnel; S2, based on the minimum repair time, the recovery duration is set, and based on the optimal distribution system recovery model, the load shedding is minimized within the recovery duration, and the optimal recovery strategy is output.

[0071] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0072] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0073] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1A step that specifies a function in one or more boxes.

[0075] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0076] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0077] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0079] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

[0080] It should be understood that the above description is for illustration and not for limitation. Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a waiver of such subject matter, nor should it be considered that the applicant has not considered such subject matter to be part of the disclosed inventive subject matter.

Claims

1. A two-stage elastic recovery method for a power distribution system, characterized in that: The process includes: S1, based on post-disaster data, calculates the minimum repair time of the fault through the routing and scheduling model of maintenance personnel; S2, sets the restoration duration based on the minimum repair time, minimizes the load shedding within the restoration duration based on the optimal distribution system restoration model, and outputs the optimal restoration strategy.

2. The two-stage elastic recovery method of the power distribution system according to claim 1, characterized in that: The routing and scheduling model includes the routing problem and the scheduling problem. The routing problem is to select a route for each maintenance worker between the damaged component and the scheduling problem is to develop a schedule for the resident coordinator's travel and maintenance behavior.

3. The two-stage elastic recovery method of the power distribution system according to claim 1, characterized in that: In the routing and scheduling model, all maintenance personnel start from node "0" and return to node "end" after the entire repair work is completed, where nodes "0" and "end" are virtual nodes referring to the warehouse, representing the starting point and end point of the maintenance team respectively; each damaged component only needs to be repaired once by one team, and it is ensured that each fault can only be repaired once during the entire recovery phase; for each maintenance personnel who arrives at the faulty node, they will leave the node and move to the next node; the maintenance personnel c Arrival Node i The time is subject to maintenance personnel c Whether to reach the node i Limitations of this logical behavior; each faulty line is energized after repair; The total repair time is greater than or equal to the available time of each component.

4. The two-stage elastic recovery method of the power distribution system according to claim 1, characterized in that: In S2, all kinds of static and mobile resources are fully considered, the integration between isolated microgrids and the self-splitting of microgrids are considered, the total weighted load shedding is minimized within the restoration duration, and the optimal restoration strategy is output.

5. The two-stage elastic recovery method of the power distribution system according to claim 4, characterized in that: Mobile resources include mobile power sources, mobile emergency generators and mobile energy storage systems.

6. The two-stage elastic recovery method of the power distribution system according to claim 4, characterized in that: During the recovery phase, a microgrid has a probability of being split into two or more microgrids; over a period of time, multiple microgrids have a probability of merging into one microgrid.

7. The two-stage elastic recovery method of the power distribution system according to claim 1, characterized in that: After obtaining the optimal recovery strategy, its effectiveness is verified based on case analysis.

8. A two-stage elastic recovery system for a power distribution system, characterized in that: include: The minimum repair time calculation module is used to calculate the minimum repair time of the fault based on the post-disaster data through the routing and scheduling model of the maintenance personnel; The restoration strategy calculation module is used to set the restoration duration based on the minimum repair time, minimize the load shedding within the restoration duration based on the optimal distribution system restoration model, and output the optimal restoration strategy.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the two-stage elastic recovery method for a power distribution system as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the two-stage elastic recovery method of the power distribution system as claimed in any one of claims 1 to 7 are implemented.

Images