Multi-overlapping disaster rolling recovery method, system and device and storage medium

Abstract

The invention discloses a multi-overlapping disaster rolling recovery method, system and device and a storage medium, and the method comprises the steps: S1, obtaining the current states of all power system components and elastic resources when an overlapping disaster occurs; s2, constructing a post-disaster power recovery model in a mixed integer linear programming form under the condition of considering maintenance team delivery; s3, constructing a space-time position search algorithm based on the scheduling strategy of the last disaster and the overlapped disaster moment, and determining the position of each maintenance team at the overlapped disaster occurrence moment when the overlapped disaster occurs; and S4, when the overlapping disaster occurs, inputting the position of the maintenance team at the occurrence moment of the overlapping disaster, the current state of the power system component and the current state of the elastic resource into the post-disaster recovery model to obtain an overlapping post-disaster power recovery strategy. And the recovery capability of the power system in the overlapped disaster scene is improved.

Description

Technical Field

[0001] The invention belongs to the field of post-disaster power restoration, and relates to a rolling restoration method, system, equipment and storage medium for multiple overlapping disasters. Background Art

[0002] In recent years, extreme weather, man-made attacks and other emergencies with high impact and low probability have led to large-scale power outages. As a core component of the power system, the distribution system is more vulnerable than the transmission system in the face of extreme events, which may lead to N Fault. Power distribution system N Failures will directly interrupt power supply to end users, causing significant economic losses. Therefore, improving the resilience of distribution systems under extreme events has become an urgent issue to be addressed.

[0003] There are many studies on the resilience of distribution systems, most of which focus on network reconfiguration, distributed energy scheduling, mobile power scheduling, and maintenance team scheduling. However, most studies only focus on static resources or one or two mobile resources. In a three-phase unbalanced distribution network, multiple mobile and static resources cannot be fully coordinated organically. At present, the research on the resilience of distribution systems mainly focuses on specific N Minimize load shedding during a fault event. Due to the fragility of the distribution system itself and the high uncertainty of external emergencies, the distribution system may encounter another failure during the initial recovery phase. N Fault. 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 rolling recovery method, system, device and storage medium for multiple overlapping disasters, thereby improving the recovery capability of the power system under overlapping disaster scenarios.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A rolling recovery method for multiple overlapping disasters includes the following processes: S1, obtain the current status of all power system components and resilience resources when overlapping disasters occur; S2, construct a post-disaster power restoration model in the form of mixed integer linear programming considering the dispatch of maintenance teams; S3, based on the scheduling strategy of the previous disaster and the time of overlapping disasters, construct a spatiotemporal position search algorithm to determine the position of each maintenance team at the time of overlapping disasters when overlapping disasters occur; S4, when overlapping disasters occur, the location of the maintenance team at the time of the overlapping disaster, the current status of the power system components and elastic resources are input into the post-disaster recovery model to obtain the overlapping disaster post-disaster power recovery strategy.

[0006] Preferably, when the third and subsequent disasters occur, S1, S3 and S4 are repeated.

[0007] Preferably, the power system components and elastic resource status include the power output of the dispatchable distributed generators and the mobile emergency generators, the storage energy of the mobile energy storage system and the static energy storage system, and the mobility status of the mobile power source.

[0008] Preferably, in S2, considering the case where the maintenance team is dispatched, the maintenance team is divided into three groups: the first group is the maintenance team that has not completed the scheduled maintenance task and is still outside the base; the second group is the maintenance team that has completed the designated maintenance task and returned to the base; the third group is the damaged parts repaired by the maintenance team outside the base when a new overlapping disaster occurs, and the damaged parts that the maintenance team is currently on the way to repair.

[0009] Furthermore, in S2, the constraints on the maintenance team in the post-disaster power recovery model are as follows: when overlapping disasters occur, the maintenance team inside the base starts from the starting point and ends at the base, and the maintenance team outside the base starts from outside the base and returns to the end point. No maintenance team returns to the outside of the base and the starting point, and no maintenance team starts from the end point; each damaged component is repaired by only one worker at a time, and each worker who arrives at a faulty component will leave the component and go to the next faulty component; there is time coupling between the previous disaster and the new overlapping disaster; the maintenance team that arrives from one component to another goes through a repair and movement process; the continuous process of the maintenance team's repair behavior is converted into a discrete process.

[0010] Preferably, in S3, based on the scheduling strategy of the last disaster and the time of overlapping disasters, a spatiotemporal position search algorithm is constructed to determine the position of each maintenance team at the time when the overlapping disaster occurs. The input of the spatiotemporal position search algorithm is: the scheduling matrix of the last disaster, the estimated repair time matrix of the last disaster, the time of the new disaster, and the repair matrix; the output is: the new spatiotemporal position of each maintenance personnel.

[0011] Furthermore, first determine whether each maintenance personnel at the overlapping disaster moment is inside or outside the maintenance base; if all allocated damage repair times are less than the overlapping disaster moment, the maintenance team is inside the base; if the damage repair time is not less than the overlapping disaster moment, the maintenance team is outside the base; for each maintenance personnel outside the maintenance base, find out all the damaged points that have not been repaired at the overlapping disaster moment, and use the damaged point with the shortest repair time as the new starting position.

[0012] A rolling recovery system for multiple overlapping disasters, comprising: A current status acquisition module, used to obtain the current status of all power system components and elastic resources when overlapping disasters occur; A post-disaster power restoration model building module is used to build a post-disaster power restoration model in the form of mixed integer linear programming, taking into account the dispatch of maintenance teams; The maintenance team location determination module is used to construct a spatiotemporal location search algorithm based on the scheduling strategy of the previous disaster and the time of overlapping disasters to determine the location of each maintenance team at the time of overlapping disasters when overlapping disasters occur; The post-disaster power recovery strategy acquisition module is used to input the location of the maintenance team at the time of overlapping disasters, the current status of power system components and elastic resources into the post-disaster recovery model when overlapping disasters occur, and obtain the overlapping disaster post-disaster power recovery strategy.

[0013] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the rolling recovery method for multiple overlapping disasters are implemented.

[0014] 10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the rolling recovery method for multiple overlapping disasters.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention splits multiple overlapping disasters into multiple single disasters, or aggregates them into one disaster, and compares and analyzes them with the constructed rolling recovery model. When overlapping disasters occur, the previous recovery strategy is adjusted to the optimal level, thereby greatly improving the recovery capacity of the power system in such disaster scenarios. In addition, the mobile power supply can provide a large amount of energy during the recovery phase, further enhancing the recovery capacity of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the rolling recovery model for multiple overlapping disasters proposed in the present invention.

[0017] Figure 2 For the two consecutive N Schematic diagram of disaster types under fault events.

[0018] Figure 3 It is a schematic diagram of the regional coordination center scheduling under overlapping disasters in the present invention.

[0019] Figure 4 It is a schematic diagram of the modified IEEE 33-node test system in the present invention.

[0020] Figure 5 Schematic diagram of maintenance team scheduling behavior under three examples in the present invention.

[0021] Figure 6It is the load reduction of each phase (unit: kilowatt) and the total load reduction (unit: percentage) in Example 1 of the present invention.

[0022] Figure 7 It is the load reduction of each phase (unit: kilowatt) and the total load reduction (unit: percentage) in Example 2 of the present invention.

[0023] Figure 8 It is the load reduction of each phase (unit: kilowatt) and the total load reduction (unit: percentage) in Example 3 of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] 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.

[0026] 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.

[0027] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0028] 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.

[0029] like Figure 1As shown in the figure, the method for rolling recovery of multiple overlapping disasters considering maintenance teams and mobile power sources is described in the present invention. First, based on the self-time coupling constraints of multiple elastic resources, the initial states of all system components and elastic resources are updated when overlapping disasters occur; then, based on the situation that the maintenance team is often not in or not completely in the base under multiple overlapping disasters, a post-disaster recovery maintenance team model in the form of mixed integer linear programming is constructed, and other system components and elastic resources only need to reallocate their initial states without changing their original mathematical models; then, based on the scheduling strategy of the last disaster and the overlapping disaster moment, a spatiotemporal position search algorithm is constructed to determine the position of each maintenance team at the time of the overlapping disaster, and the new overlapping disaster period is used as the time range of load shedding to couple the rolling recovery strategy; then, the remaining modeling steps in the single disaster recovery are followed; finally, the proposed rolling recovery model for multiple overlapping disasters is tested on the IEEE 33-node distributed system, and multiple overlapping disasters are split into multiple single disasters, or aggregated into one disaster, and compared with the constructed rolling recovery model. Finally, when overlapping disasters occur, the proposed model can automatically adjust the previous recovery strategy to the optimal, thereby greatly improving the system recovery capability in such disaster scenarios.

[0030] like Figure 2 As shown, there are two consecutive N Schematic diagram of disaster types under fault events.

[0031] The above method specifically comprises the following steps: Step 1: Based on the self-temporal coupling constraints of multiple elastic resources, the initial states of all system components and elastic resources are updated when overlapping disasters occur.

[0032] The power output of dispatchable distributed generators (DGs) and mobile emergency generators (MEGs), the stored energy of mobile energy storage systems (MESSs) and static energy storage systems (ESSs), the mobility status of mobile power sources (MPSs), and the spatiotemporal status of maintenance teams (RCs) are all time-coupled. When overlapping disasters occur, the time-coupled states must comply with their self-time constraints. Therefore, the time-coupled state information when overlapping disasters occur must be stored as the newly restored initial state. Assume that i The time when the overlapping disaster occurred was , then i The initial state of the temporal coupling state information under the secondary overlapping disasters can be expressed as:

[0033] Where: . Indicates i Overlapping disasters in time t i The following status information, Indicates i-1 Overlapping disasters in time t i The corresponding status information below.

[0034] Step 2: Based on the fact that maintenance teams are often not at or not completely at the base under multiple overlapping disasters, a post-disaster recovery maintenance team model in the form of mixed integer linear programming is constructed.

[0035] like Figure 3 As shown, when overlapping disasters occur, the maintenance teams are divided into two groups: a) the maintenance teams that have not completed the scheduled maintenance tasks and are still outside the base (i.e. ); b) A maintenance team that has completed its designated maintenance mission and returned to base (i.e. ). A new set is also introduced in the multiple overlapping disaster model , which represents the damaged parts that were repaired by the off-base repair team when the new overlapping disaster occurred, and the damaged parts that the repair team is currently heading to repair. In addition, when deleting the new set Finally, the unrepaired nodes in the previous disaster and the damaged components caused by the new overlapping disaster are merged into a new set The constraints are as follows:

[0036] Where: Represents the variable that minimizes the objective i The value of Indicates whether the staff member Rush to Department; Indicates a fault Whether it has been repaired by staff; Indicates that staff has arrived The time of being there; Indicates a new overlap N The time of the failure; Indicates that the staff repaired the fault the time required; Indicates a fault Is it in Moments are repaired.

[0037] The above constraints indicate that when overlapping disasters occur, the maintenance team in the base must start from "0" and return to the "end point", and the maintenance team outside the base must start from the collection Start and return to the "end"; no maintenance team returns to the assembly and "0", and there is no maintenance team starting from the "end point"; each damaged component only needs one worker to repair it once, and each worker arriving at a faulty component will leave the component and go to the next faulty component; there is time coupling between the previous disaster and the new overlapping disaster; the maintenance team from one component to another needs to go through the repair and movement process; the continuous process of the maintenance team's repair behavior is converted into a discrete process.

[0038] "0" represents the starting point, which is located inside the base, and "end point" represents the final destination, which is also located inside the base.

[0039] Step three, based on the scheduling strategy of the previous disaster and the time of overlapping disasters, a spatiotemporal position search algorithm is constructed to determine the location of each maintenance team at the time of overlapping disasters to couple the rolling recovery strategy.

[0040] Based on the scheduling strategy of the last disaster and the time of overlapping disasters, a spatiotemporal position search algorithm is constructed to determine the location of each maintenance team at the time of overlapping disasters to couple the rolling recovery strategy. The input of the algorithm is: the scheduling matrix of the last disaster , the estimated repair time matrix of the last disaster , time for new disasters , repair matrix ; Output: Each maintenance personnel c New space-time position .

[0041] The algorithm first determines whether each maintenance worker at the overlapping disaster moment is inside or outside the maintenance base. If all assigned damage repair times are less than the overlapping disaster moment, the maintenance team is inside the base. If the damage repair time is not less than the overlapping disaster moment, the maintenance team is outside the base. For each maintenance worker outside the maintenance base, find all the damage points that have not been repaired at the overlapping disaster moment, and use the damage point with the shortest repair time as the new starting position. Then determine the new starting positions of all maintenance teams under the new rolling recovery strategy.

[0042] Step 4: When the second disaster occurs, the location of the maintenance team at the time of the overlapping disaster, the current status of the power system components and elastic resources are input into the post-disaster recovery model to obtain the overlapping disaster post-disaster power recovery strategy.

[0043] The post-disaster power recovery model in the form of mixed integer linear programming in step 2 only needs to be established after the second disaster occurs, and can be used directly after subsequent disasters occur. Therefore, when the third and subsequent disasters occur, steps 1, 3, and 4 are repeated.

[0044] Step five, based on case analysis, verify the effectiveness of the multi-overlapping disaster rolling recovery model that takes into account both maintenance teams and mobile power sources.

[0045] The proposed rolling recovery model for multiple overlapping disasters is tested on an IEEE 33-node distributed system. Since the traditional single disaster recovery model cannot handle multiple overlapping disasters well, multiple overlapping disasters are split into multiple single disasters or aggregated into one disaster for comparative analysis with the constructed rolling recovery model. Example 1: The proposed method, i.e., the rolling recovery model under multiple overlapping disasters. When a new disaster occurs, the recovery strategy is automatically updated. Example 2: Case 1 under the traditional method, i.e., the traditional single disaster recovery model under multiple independent disasters. The best recovery strategy generated by the single disaster recovery model is used for the two disasters. Example 3: Case 2 under the traditional method, i.e., the traditional single disaster recovery model under a single disaster.

[0046] Load type classification / distributed energy parameters: For the types and parameter correspondence of each node, please refer to Table 1 and Table 2.

[0047] Table 1

[0048] Table 2

[0049] Modified IEEE 33-node test system: see Figure 4 The test system is an unbalanced distribution system, which includes 1 substation, 3 dispatchable distributed generators, 2 photovoltaic devices (PVs), 1 wind turbine (WTs), 3 energy storage systems, 3 mobile power stations, 1 voltage regulator, 7 single-phase lines, 2 two-phase lines and 28 three-phase lines. The mobile resources deployed for recovery include 1 mobile emergency generator (MEG), 1 mobile energy storage system (MESS) and 2 groups of maintenance teams (RCs).

[0050] Maintenance team scheduling behavior under three examples: Figure 5 , the repair work of Example 1 is completed at time step 16; the repair work of Example 2 is completed at time step 19; and the repair work of Example 3 is completed at time step 15. It can be seen that the rolling recovery strategy constructed by the present invention can solve multiple overlapping disasters while maintaining a short repair time. Its repair time is closer to that of Example 3 and is significantly shorter than that of Example 2.

[0051] Output power and location of mobile power sources under three examples: Taking the mobile emergency generator and mobile energy storage system as examples, the corresponding values ​​of output power, node number and time are shown in Tables 3, 4 and 5.

[0052] Table 3

[0053] Table 4

[0054] Table 5

[0055] The load reduction of each phase (unit: kW) and the total load reduction (unit: percentage) under the three cases are as follows: Figure 6 , Figure 7 and Figure 8 , the superimposed bar graphs represent the system load shedding of each phase at each time step for Cases 1, 2 and 3, respectively, and the line graphs 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 3936.12 kW (Phase A: 2509.9718 kW, Phase B: 608.7158 kW, Phase C: 817.4373 kW). The total load shedding of Case 2 is 4208.10 kW (Phase A: 2615.7994 kW, Phase B: 703.6845 kW, Phase C: 888.6160 kW). The total load shedding of Case 3 is 4822.94 kW (Phase A: 2759.1912 kW, Phase B: 963.8989 kW, Phase C: 1099.8449 kW). Among the three examples, the phase load rejection of Example 1 is the smallest, which directly demonstrates the effectiveness of the proposed rolling recovery model.

[0056] It can be seen from the above figures that the multi-overlapping disaster rolling recovery model constructed by the present invention takes into account both the maintenance team and the mobile power supply, which can reduce the load shedding by about 6.91% and shorten the recovery time by 2 time steps, which verifies the effectiveness of the constructed model in updating the recovery strategy at the moment of disaster overlap.

[0057] 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.

[0058] In another embodiment of the present invention, a rolling recovery system for multiple overlapping disasters is provided. The rolling recovery system for multiple overlapping disasters can be used to implement the above-mentioned rolling recovery method for multiple overlapping disasters. Specifically, the rolling recovery system for multiple overlapping disasters includes a current state acquisition module, a post-disaster power recovery model construction module, a maintenance team location determination module, and a post-disaster power recovery strategy acquisition module.

[0059] Among them, the current status acquisition module is used to obtain the current status of all power system components and elastic resources when overlapping disasters occur.

[0060] The post-disaster power restoration model building module is used to build a post-disaster power restoration model in the form of mixed integer linear programming taking into account the dispatch of maintenance teams.

[0061] The maintenance team location determination module is used to construct a spatiotemporal location search algorithm based on the scheduling strategy of the previous disaster and the time of overlapping disasters, and to determine the location of each maintenance team at the time of overlapping disasters when overlapping disasters occur.

[0062] The post-disaster power recovery strategy acquisition module is used to input the location of the maintenance team at the time of overlapping disasters, the current status of power system components and elastic resources into the post-disaster recovery model when overlapping disasters occur, and obtain the overlapping disaster post-disaster power recovery strategy.

[0063] 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 (FPGAs), or other processors. GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions to implement corresponding method processes or corresponding functions; the processor described in the embodiment of the present invention can be used for the operation of a rolling recovery method for multiple overlapping disasters, including: S1, obtaining the current status of all power system components and elastic resources when an overlapping disaster occurs; S2, constructing a post-disaster power recovery model in the form of mixed integer linear programming considering the dispatch of maintenance teams; S3, constructing a spatiotemporal position search algorithm based on the scheduling strategy of the previous disaster and the time of the overlapping disaster to determine the position of each maintenance team at the time when the overlapping disaster occurs; S4, inputting the position of the maintenance team at the time when the overlapping disaster occurs, the current status of the power system components and elastic resources into the post-disaster recovery model when the overlapping disaster occurs, and obtaining an overlapping disaster post-disaster power recovery strategy.

[0064] 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.

[0065] 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 rolling recovery method for multiple overlapping disasters 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, obtaining the current status of all power system components and elastic resources when overlapping disasters occur; S2, constructing a post-disaster power recovery model in the form of mixed integer linear programming considering the dispatch of maintenance teams; S3, constructing a spatiotemporal position search algorithm based on the scheduling strategy of the previous disaster and the time of overlapping disasters to determine the position of each maintenance team at the time when the overlapping disaster occurs; S4, inputting the position of the maintenance team at the time when the overlapping disaster occurs, the current status of power system components and elastic resources into the post-disaster recovery model to obtain an overlapping disaster post-power recovery strategy.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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 1 The steps for the functions specified in one or more boxes.

[0070] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0071] 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 rolling recovery method for multiple overlapping disasters, characterized in that: The process includes: S1, obtain the current status of all power system components and resilience resources when overlapping disasters occur; S2, construct a post-disaster power restoration model in the form of mixed integer linear programming considering the dispatch of maintenance teams; S3, based on the scheduling strategy of the previous disaster and the time of overlapping disasters, construct a spatiotemporal position search algorithm to determine the position of each maintenance team at the time of overlapping disasters when overlapping disasters occur; S4, when overlapping disasters occur, the location of the maintenance team at the time of the overlapping disaster, the current status of the power system components and elastic resources are input into the post-disaster recovery model to obtain the overlapping disaster post-disaster power recovery strategy.

2. The rolling recovery method for multiple overlapping disasters according to claim 1, characterized in that: When the third and subsequent disasters occur, S1, S3 and S4 are repeated.

3. The rolling recovery method for multiple overlapping disasters according to claim 1, characterized in that: The status of power system components and elastic resources includes the power output of dispatchable distributed generators and mobile emergency generators, the storage energy of mobile energy storage systems and static energy storage systems, and the mobility status of mobile power sources.

4. The rolling recovery method for multiple overlapping disasters according to claim 1, characterized in that: In S2, considering the dispatch of maintenance teams, the maintenance teams are divided into three groups: the first group is the maintenance teams that have not completed the scheduled maintenance tasks and are still outside the base; the second group is the maintenance teams that have completed the designated maintenance tasks and returned to the base; the third group is the damaged parts repaired by the maintenance teams outside the base when new overlapping disasters occur, and the damaged parts that the maintenance teams are currently heading to repair.

5. The rolling recovery method for multiple overlapping disasters according to claim 4, characterized in that: In S2, the constraints on the maintenance team in the post-disaster power recovery model are: when overlapping disasters occur, the maintenance team inside the base starts from the starting point and ends at the base, the maintenance team outside the base starts from outside the base and returns to the end point, no maintenance team returns to outside the base and the starting point, and no maintenance team starts from the end point; each damaged component is repaired by only one worker at a time, and each worker who arrives at a faulty component will leave the component and go to the next faulty component; there is time coupling between the previous disaster and the new overlapping disaster; the maintenance team from one component to another goes through a repair and movement process; the continuous process of the maintenance team's repair behavior is converted into a discrete process.

6. The rolling recovery method for multiple overlapping disasters according to claim 1, characterized in that: In S3, based on the scheduling strategy of the previous disaster and the time of overlapping disasters, a spatiotemporal position search algorithm is constructed to determine the position of each maintenance team at the time when overlapping disasters occur. The input of the spatiotemporal position search algorithm is: the scheduling matrix of the previous disaster, the estimated repair time matrix of the previous disaster, the time of the new disaster, and the repair matrix; the output is: the new spatiotemporal position of each maintenance personnel.

7. The rolling recovery method for multiple overlapping disasters according to claim 6, characterized in that: First, determine whether each maintenance personnel at the overlapping disaster moment is inside or outside the maintenance base; if all assigned damage repair times are less than the overlapping disaster moment, the maintenance team is inside the base; if the damage repair time is not less than the overlapping disaster moment, the maintenance team is outside the base; for each maintenance personnel outside the maintenance base, find out all the damage points that have not been repaired at the overlapping disaster moment, and use the damage point with the shortest repair time as the new starting position.

8. A rolling recovery system for multiple overlapping disasters, characterized in that: include: A current status acquisition module, used to obtain the current status of all power system components and elastic resources when overlapping disasters occur; A post-disaster power restoration model building module is used to build a post-disaster power restoration model in the form of mixed integer linear programming, taking into account the dispatch of maintenance teams; The maintenance team location determination module is used to construct a spatiotemporal location search algorithm based on the scheduling strategy of the previous disaster and the time of overlapping disasters to determine the location of each maintenance team at the time of overlapping disasters when overlapping disasters occur; The post-disaster power recovery strategy acquisition module is used to input the location of the maintenance team at the time of overlapping disasters, the current status of power system components and elastic resources into the post-disaster recovery model when overlapping disasters occur, and obtain the overlapping disaster post-disaster power recovery 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 rolling recovery method for multiple overlapping disasters 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 rolling recovery method for multiple overlapping disasters as described in any one of claims 1 to 7 are implemented.

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