Method for restoring power distribution network with mobile energy storage and multi-source island under satellite communication support

Abstract

The application discloses a satellite communication support mobile energy storage and multi-source island collaborative power distribution network recovery method, comprising: constructing a post-disaster temporary recovery object model of a power distribution network; after a disaster occurs, obtaining a fault set and system operation state information; establishing a controllable node generation model under satellite communication support, and restoring the information transmission capacity of key nodes through a satellite communication link when ground communication is damaged; establishing a fault isolation model; establishing a mobile energy storage system scheduling and access model, determining a mobile energy storage scheduling path and an access scheme; establishing a network reconfiguration and multi-source island generation collaborative model, generating a multi-source island temporary power supply scheme supported by main network power sources, distributed power sources and mobile energy storage systems; establishing a load temporary recovery optimization model; and adopting a rolling optimization mode to dynamically update the recovery scheme until the conditions are met. Important loads can be quickly and temporarily powered when communication is damaged and faults are not repaired, and the post-disaster emergency power supply capacity of the power distribution network is improved.

Description

Technical Field

[0001] This application relates to the field of power distribution network post-disaster recovery technology, and in particular to a method for mobile energy storage and multi-source islanded collaborative power distribution network recovery supported by satellite communication. Background Technology

[0002] With the large-scale integration of distributed photovoltaic, wind power, energy storage, electric vehicles, flexible loads, and distribution automation terminals, distribution networks are gradually developing towards active, digital, and cyber-physical integration. During distribution network operation, the control center relies on communication networks to obtain operational information such as field switch status, distributed power output, and load demand, and issues control commands to switchgear, distributed power sources, energy storage devices, and load control terminals to achieve control functions such as fault isolation, network reconfiguration, islanded operation, and load restoration. Therefore, the availability and reliability of the communication network directly determine the distribution network's ability to sense and control faults, and it is a crucial infrastructure supporting rapid post-disaster recovery of the distribution network.

[0003] Existing disaster recovery methods for power distribution networks primarily focus on emergency repairs, involving organizing repair teams to repair faulty lines and damaged equipment on-site. Power is then gradually restored to the affected areas after the equipment is repaired. This approach is suitable for scenarios with sufficient repair resources, good road conditions, and a limited fault area. Furthermore, some existing methods involve utilizing distributed power sources or mobile energy storage for temporary power supply. However, these typically treat mobile energy storage as an independent emergency power source, using a point-to-point connection to supply power to a single power-loss node. They lack a scheduling framework that integrates mobile energy storage into the overall distribution network reconfiguration and multi-source islanded collaborative optimization.

[0004] However, the aforementioned existing technologies have at least the following drawbacks: First, existing methods heavily rely on the normal operation of terrestrial communication infrastructure. When extreme disasters cause fiber optic cable breaks, base station damage, or communication link interruptions, the control center struggles to obtain the status of on-site equipment and cannot issue control commands to remote terminals, resulting in ineffective implementation of the recovery process. Second, existing recovery strategies based on fault repair often require waiting for hours or even days to restore power to critical loads when the disaster is large-scale and the fault repair time is long, making it difficult to meet the urgent power supply needs of critical users such as hospitals, emergency command centers, and communication base stations. Third, existing methods fail to fully exploit the flexible scheduling potential of mobile energy storage, lacking technical means to coordinate and optimize the mobile energy storage's travel path, access location, charging and discharging power with the distribution network switch status and island boundaries, thus limiting the recovery ratio and speed of critical loads in the power outage area. Furthermore, existing methods fail to effectively address the coordination problem between communication recovery and power supply recovery under conditions of damaged terrestrial communication, resulting in the inability of available distributed power sources or mobile energy storage resources to participate in load recovery under the unified coordination of the control center, reducing the emergency power supply capacity and operational resilience of the distribution network after disasters. Summary of the Invention

[0005] Based on the above problems, this application provides a method for restoring a distribution network that combines mobile energy storage and multi-source islanding with satellite communication support. This method can provide rapid temporary power supply to important loads when communication is damaged and the fault has not been repaired, thereby improving the emergency power supply capability of the distribution network after a disaster.

[0006] In a first aspect, embodiments of this application provide a method for restoring a mobile energy storage and multi-source islanded collaborative distribution network supported by satellite communication, the method comprising:

[0007] A post-disaster temporary recovery object model for the distribution network is constructed, comprising a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. The distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage. The power communication network model includes the control center, communication links, and distribution terminals. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. The transportation network model includes road nodes, roadside locations, road traffic status, and mobile energy storage travel time. The mobile energy storage system model includes the location, capacity, state of charge, maximum charging / discharging power, and access status of the mobile energy storage system.

[0008] In response to disaster information, the system acquires the set of distribution network faults, ground communication faults, road traffic status, load demand, distributed power generation output forecasts, initial location of mobile energy storage, and initial state of charge of mobile energy storage. It then determines the power outage area after fault isolation, the set of operable switches, the set of recoverable loads, and the set of candidate access nodes for mobile energy storage.

[0009] Establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes can be temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster.

[0010] Establish a fault isolation model to keep faulty lines and communication nodes isolated throughout the entire temporary recovery cycle, and use healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration;

[0011] Establish a scheduling and access model for mobile energy storage systems. Based on the traffic network road conditions, the current location of the mobile energy storage system, the travel time of the mobile energy storage system, the capacity of candidate access nodes, the importance of the load, and the controllability of satellite communication, determine the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system.

[0012] A collaborative model for network reconfiguration and multi-source island generation is established. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, the state of distribution network segment switches and tie switches is optimized to generate a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system.

[0013] A load temporary recovery optimization model is established with the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss. The load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period are determined.

[0014] The recovery scheme is updated using a rolling optimization approach. During each scheduling period, the solutions for the mobile energy storage system scheduling and access model, the network reconfiguration and multi-source islanding generation collaborative model, and the temporary load recovery optimization model are re-executed based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, until the temporary power supply recovery termination conditions are met.

[0015] In one possible implementation, in the observable and controllable node generation model, the final observable and controllable state of node i in time period t is... From ground communication status and satellite communication status Jointly decided, to satisfy:

[0016]

[0017] in, This indicates whether node i is reachable via a ground communication link during time period t. Indicates whether node i is reachable via satellite communication link during time period t; 1 indicates that node i is observable and controllable during time period t. 0 indicates that node i is unobservable and uncontrollable during time period t;

[0018] If a node is reachable via either a terrestrial communication link or a satellite communication link, then the node is determined to be an observable and controllable node during time period t.

[0019] In one possible implementation, the number of nodes that the satellite communication terminal can support simultaneously within the same time period satisfies the capacity constraint:

[0020]

[0021] in, This indicates whether satellite communication terminal p provides communication support to node i during time period t. This represents the maximum number of nodes that satellite communication terminal p can support simultaneously during the same time period. Represents a set of satellite communication terminals. This represents the set of nodes in the distribution network.

[0022] In one possible implementation, the multi-source islanding temporary power supply scheme includes islands that transfer power from the main grid, distributed generation islands, mobile energy storage islands, and islands jointly supported by distributed generation and mobile energy storage. The effective power supply capacity of any island is determined by the types of power sources contained within it, satisfying the following formula:

[0023]

[0024] and

[0025]

[0026] in, This indicates whether island k has effective power supply capability during time period t. , , These indicate whether island k is supported by main grid power, distributed power, and mobile energy storage systems, respectively. This indicates whether load node i has its power restored during time period t. Let k represent the set of nodes of island k during time period t.

[0027] In one possible implementation, in a multi-source islanded temporary power supply scheme, the active power balance constraint of any island satisfies:

[0028]

[0029] in, This represents the set of distributed power sources within island k. This represents the collection of mobile energy storage systems connected within island k. This indicates the power supplied by the main network to the isolated island k. Denotes the set of loads within island k. This represents the load power of node i during time period t. This represents the network loss of island k during time period t.

[0030] In one possible implementation, in the mobile energy storage system scheduling and access model, the travel time from the current location to the target access node is determined based on the shortest path of the transportation network and road traffic conditions, satisfying:

[0031]

[0032]

[0033] in, This represents the reachable path of the mobile energy storage system ω to node i during time period t. This indicates the effective passage length or equivalent passage distance of roadside e during time period t. This represents the travel distance from the mobile energy storage system ω to node i. This represents the average speed of the mobile energy storage system ω during time period t. Indicates the length of the scheduling period. This indicates rounding up to the nearest integer.

[0034] In one possible implementation, in the mobile energy storage system scheduling and access model, the energy recursive relationship of the state of charge of the mobile energy storage system during the charging and discharging process satisfies:

[0035]

[0036]

[0037] in, Indicates mobile energy storage system The remaining battery power in time period t and These represent charging power and discharging power, respectively. and These represent charging efficiency and discharging efficiency, respectively. and These represent the lower limit of emergency backup power and the upper limit of rated capacity of the mobile energy storage system, respectively.

[0038] Secondly, embodiments of this application provide a mobile energy storage and multi-source islanded collaborative distribution network restoration device supported by satellite communication. This device includes: a construction module, an acquisition module, a first establishment module, a second establishment module, a third establishment module, a fourth establishment module, a fifth establishment module, and an update module, wherein:

[0039] The construction module is used to build a temporary recovery object model for the distribution network after a disaster. This recovery object model includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. Specifically, the distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage; the power communication network model includes the control center, communication links, and distribution terminals; the satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships; the transportation network model includes road nodes, roadside, road traffic status, and mobile energy storage travel time; and the mobile energy storage system model includes the location, capacity, state of charge, maximum charging and discharging power, and access status of the mobile energy storage system.

[0040] The acquisition module is used to respond to disaster information by acquiring the set of distribution network faults, the set of ground communication faults, road traffic status, load demand, the predicted output value of distributed power sources, the initial location of mobile energy storage and the initial state of charge of mobile energy storage, and to determine the power loss area after fault isolation, the set of operable switches, the set of recoverable loads and the set of candidate access nodes for mobile energy storage.

[0041] The first module is used to establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes is temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster.

[0042] The second module is used to establish a fault isolation model, keeping faulty lines and faulty communication nodes isolated throughout the entire temporary recovery cycle, and using healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration.

[0043] The third module is used to establish a scheduling and access model for the mobile energy storage system. Based on the traffic network road conditions, the current location of the mobile energy storage, the travel time of the mobile energy storage, the capacity of the candidate access nodes, the importance of the load, and the controllability of satellite communication, the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system are determined.

[0044] The fourth module is used to establish a collaborative model for network reconfiguration and multi-source island generation. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, it optimizes the state of distribution network segment switches and tie switches, and generates a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system.

[0045] The fifth module is used to establish a load temporary recovery optimization model. With the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss, the module determines the load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period.

[0046] The update module is used to update the recovery plan using a rolling optimization approach. In each scheduling period, based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, it re-executes the solutions for the mobile energy storage system scheduling and access model, network reconfiguration and multi-source islanding generation collaborative model, and load temporary recovery optimization model until the temporary power supply recovery termination conditions are met.

[0047] Thirdly, embodiments of this application provide a computer storage medium storing multiple instructions adapted for loading by a processor and executing the steps of the above-described method.

[0048] Fourthly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being adapted to be loaded by the processor and to execute the steps of the above-described method.

[0049] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following: Under conditions where ground communication is damaged due to extreme disasters and the fault has not yet been repaired, the information transmission capability between the control center and key switching nodes, distributed power generation nodes, mobile energy storage access nodes, and important load nodes is temporarily restored by utilizing satellite communication links. A "satellite communication-supported observable and controllable node generation model" is constructed, enabling the control center to obtain the status of key nodes and issue control commands without relying on ground communication, thus overcoming the constraints of communication bottlenecks on the recovery process. Based on this, a temporary power supply restoration strategy is adopted. By establishing a joint solution framework of a mobile energy storage system scheduling and access model, a network reconstruction and multi-source island generation collaborative model, and a load temporary restoration optimization model, the travel path, access location, charging and discharging power of mobile energy storage are collaboratively optimized with the distribution network segment / tie switch status and island boundaries. This generates a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system. Through rolling optimization, the scheme dynamically adapts to post-disaster status changes, achieving rapid temporary power supply restoration for important loads and improving the post-disaster emergency power supply capability and operational resilience of the distribution network. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 An exemplary system architecture diagram of the method for mobile energy storage and multi-source islanded collaborative distribution network restoration supported by satellite communication provided in the embodiments of this application;

[0052] Figure 2 A flowchart illustrating the method for mobile energy storage and multi-source islanded collaborative distribution network restoration supported by satellite communication, as provided in the embodiments of this application.

[0053] Figure 3 This is a schematic diagram of a multi-layer spatiotemporal network scheduling for a mobile energy storage system provided in an embodiment of this application;

[0054] Figure 4 This is a schematic diagram of the traffic network path update for a satellite-supported mobile energy storage system provided in an embodiment of this application.

[0055] Figure 5 A structural block diagram of a mobile energy storage and multi-source islanded collaborative power distribution network restoration device supported by satellite communication provided in this application embodiment;

[0056] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0057] To make the features and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] In the following description, when referring to the accompanying drawings, the same numbers in different drawings denote the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0059] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship.

[0060] As mentioned earlier, existing methods for post-disaster recovery of power distribution networks have the following main problems: First, they are highly dependent on ground communication infrastructure. When extreme disasters cause fiber optic cables to break, base stations to be damaged, or communication links to be interrupted, the control center has difficulty obtaining the status of on-site equipment and issuing control commands, making it difficult to effectively implement the recovery process. Second, recovery strategies based on fault repair often require critical loads to wait for several hours or even days to restore power when the disaster is large-scale, failing to meet the urgent power supply needs of critical users such as hospitals and emergency command centers. Third, existing methods fail to coordinate and optimize the travel path, access location, charging and discharging power of mobile energy storage with the status of power distribution network switches and island boundaries, limiting the recovery ratio of critical loads. Fourth, there is a lack of a coordination mechanism for communication recovery and power supply recovery under conditions of damaged ground communication, resulting in the inability of available resources such as distributed power sources and mobile energy storage to participate in load recovery under the unified coordination of the control center.

[0061] In view of this, this application provides a method for the collaborative restoration of distribution networks using mobile energy storage and multi-source islanding supported by satellite communication. By constructing a post-disaster temporary restoration object model for the distribution network and establishing a controllable node generation mechanism supported by satellite communication, the information transmission capability between the temporary restoration control center and key nodes is utilized through the satellite communication link to form a temporary power supply restoration framework under the condition of maintaining the isolation of faulty equipment. Based on this, the scheduling path, access location, discharge power, distribution network reconfiguration, and multi-source islanding of mobile energy storage are collaboratively optimized, and the restoration scheme is dynamically updated using a rolling optimization method. This application aims to solve the problem of rapid restoration of critical loads under conditions where terrestrial communication is damaged and the fault has not yet been repaired. It achieves improved emergency power supply capacity and operational resilience of the distribution network after a disaster, and shortens the outage time of critical loads, without relying on terrestrial communication or fault repair, through the collaborative scheduling of mobile energy storage and multi-source islanding.

[0062] Please see Figure 1 , Figure 1 This is an exemplary system architecture diagram of the method for mobile energy storage and multi-source islanded collaborative distribution network restoration supported by satellite communication, provided in the embodiments of this application.

[0063] like Figure 1 As shown, the system architecture may include a terminal 101, a network 102, and a server 103. The network 102 serves as the medium for providing a communication link between the terminal 101 and the server 103. The network 102 may include various types of wired or wireless communication links, such as wired communication links including fiber optic cables, twisted-pair cables, or coaxial cables, and wireless communication links including Bluetooth communication links, Wireless-Fidelity (Wi-Fi) communication links, or microwave communication links, etc.

[0064] Terminal 101 can interact with server 103 via network 102 to receive messages from or send messages to server 103. Alternatively, terminal 101 can interact with server 103 via network 102 to receive messages or data sent to server 103 by other users. Terminal 101 can be hardware or software. When terminal 101 is hardware, it can be various electronic devices, including but not limited to smartwatches, smartphones, tablets, laptops, and desktop computers. When terminal 101 is software, it can be installed in the aforementioned electronic devices and can be implemented as multiple software programs or software modules (e.g., to provide distributed services) or as a single software program or software module; no specific limitation is made here.

[0065] In this embodiment, terminal 101 can construct a temporary post-disaster recovery object model for the power distribution network. The recovery object model includes a power distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. The power distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage. The power communication network model includes a control center, communication links, and distribution terminals. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. The transportation network model includes road nodes, roadside access, road traffic status, and mobile energy storage travel time. The mobile energy storage system... The model includes the location, capacity, state of charge, maximum charging and discharging power, and access status of the mobile energy storage system. In response to disaster information, it acquires the distribution network fault set, terrestrial communication fault set, road access status, load demand, predicted output of distributed power sources, the initial location of the mobile energy storage system, and the initial state of charge of the mobile energy storage system. It then determines the power outage area after fault isolation, the set of operable switches, the set of recoverable loads, and the set of candidate access nodes for mobile energy storage. A controllable node generation model supported by satellite communication is established. When terrestrial communication links are damaged or unavailable, the model temporarily restores communication between the control center and key switch nodes, distributed power source nodes, and mobile energy storage access nodes via satellite communication links. The information transmission capabilities between key load nodes are assessed to obtain a set of observable and controllable nodes after a disaster; a fault isolation model is established to keep faulty lines and communication nodes isolated throughout the temporary recovery period, utilizing healthy lines, operable switches, distributed power sources, and mobile energy storage systems for temporary power restoration; a mobile energy storage system scheduling and access model is established to determine the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system based on traffic network conditions, current location of the mobile energy storage system, travel time of the mobile energy storage system, capacity of candidate access nodes, load importance, and controllable satellite communication status; a network reconfiguration and multi-source island generation collaborative model is established. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage energy constraints, the state of distribution network segment switches and tie switches is optimized to generate a multi-source islanded temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system. A load temporary restoration optimization model is established with the objectives of maximizing the weighted load temporary restoration amount, minimizing the mobile energy storage operation and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing network loss. The load restoration state, mobile energy storage access location, mobile energy storage discharge power, islanding boundary, and network reconfiguration scheme for each scheduling period are determined.The recovery plan is updated using a rolling optimization approach. During each scheduling period, based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, the solutions for the mobile energy storage system scheduling and access model, the network reconfiguration and multi-source islanding generation collaborative model, and the temporary load recovery optimization model are re-executed until the temporary power supply recovery termination conditions are met.

[0066] Server 103 can be a business server providing various services. It should be noted that server 103 can be either hardware or software. When server 103 is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When server 103 is software, it can be implemented as multiple software programs or software modules (e.g., used to provide distributed services), or as a single software program or software module; no specific limitations are made here.

[0067] Alternatively, the system architecture may not include server 103. In other words, server 103 may be an optional device in the embodiments of this specification. That is, the method provided in the embodiments of this specification can be applied to a system structure that only includes terminal 101. The embodiments of this application do not limit this.

[0068] It should be understood that Figure 1 The number of terminals, networks, and servers shown is only illustrative; the number can be any number of terminals, networks, and servers depending on the implementation requirements.

[0069] Please see Figure 2 , Figure 2 This is a flowchart illustrating the method for restoring a mobile energy storage and multi-source islanded collaborative distribution network supported by satellite communication, as provided in an embodiment of this application. Figure 2 As shown, the method for restoring a mobile energy storage and multi-source islanded collaborative distribution network supported by satellite communication can include at least the following:

[0070] S201. Construct a temporary post-disaster recovery object model for the distribution network. The recovery object model includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model.

[0071] Specifically, after an extreme disaster, the post-disaster recovery of the power distribution network involves the coupling of multiple physical and information systems, including the topology of the power grid itself, the availability of terrestrial communication networks, the coverage of satellite communication networks, road access conditions of transportation networks, and the operational status of mobile energy storage systems. These systems interact and jointly constrain the feasibility and optimization space of the recovery plan. Modeling from the perspective of only a single system will fail to accurately describe the time constraints required for mobile energy storage to travel from its parking location to the access point, the capacity constraints when satellite communication terminals simultaneously support multiple nodes, and the power balance and voltage safety constraints during islanded operation, leading to optimization results that deviate from reality. Therefore, before starting the optimization calculation, it is necessary to construct a unified joint model covering the above five systems, clarifying the components, state variables, and coupling relationships between each system.

[0072] The distribution network model is constructed as follows: Main grid power generation nodes, distributed generation nodes, load nodes, and candidate mobile energy storage nodes are all included in the model. The distribution network model includes main grid power generation nodes, distributed generation nodes, load nodes, switching equipment, line equipment, and candidate mobile energy storage nodes. The load power of each node is represented by active load. Switching equipment has two states: open and closed, and its state variables are denoted as... Indicates a branch Closure at time t Indicates a branch Disconnected during time period t. This embodiment preferably adopts the node-branch modeling method of the IEEE standard distribution network test system. For actual distribution networks, node and branch parameters can be automatically generated based on the CIM model exported from the geographic information system or distribution management system.

[0073] The power communication network model is constructed as follows: the control center, distribution automation substations, and distribution terminals of each distribution network node are all included in the model. The power communication network model includes the control center, communication links, and distribution terminals. When ground communication is normal, the control center interacts with each distribution terminal through the communication link; when the ground communication link is interrupted, the corresponding node will be unable to upload or receive information through ground communication.

[0074] The satellite communication network model is constructed as follows: Communication satellites, ground-based satellite communication terminals, and the satellite coverage area are all included in the model. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. For nodes equipped with satellite communication terminals, the terminal can establish a temporary communication connection with the control center via a satellite link, provided that satellite visibility and signal strength requirements are met. The number of distribution network nodes that each satellite communication terminal can simultaneously support within a scheduling period is limited by the terminal's hardware processing capabilities and satellite bandwidth resources.

[0075] The traffic network model is constructed as follows: Road intersections, mobile energy storage parking points, and distribution network nodes are all included in the model. The traffic network model includes road nodes, road edges, road traffic status, and mobile energy storage travel time. The status of each road edge includes fully passable, restricted passable, and impassable. Its passage cost is represented by the effective passage length or equivalent passage distance. This value may increase after a disaster due to factors such as road damage, water accumulation, and obstacles, and can be obtained in real time through a traffic monitoring platform or navigation map interface.

[0076] The mobile energy storage system model is constructed as follows: Each mobile energy storage vehicle is abstracted as an independent energy storage unit. The mobile energy storage system model includes the location, capacity, state of charge, maximum charging and discharging power, and connection status of the mobile energy storage system.

[0077] This embodiment, through the joint construction of the above five models, completely maps the problem of temporary post-disaster recovery of the distribution network into a multi-system coupled mathematical optimization problem. The distribution network model provides electrical topology and operational constraints; the power communication network model provides the basis for determining terrestrial communication reachability; the satellite communication network model provides the capacity and coverage information of backup communication methods; the transportation network model provides the basis for calculating the travel path and arrival time of mobile energy storage; and the mobile energy storage system model provides the status and regulation capabilities of energy storage resources. The coupling relationship between these models is specifically manifested as follows: nodes in the distribution network are simultaneously associated with distribution terminals in the communication network and geographical locations in the transportation network; the access location of mobile energy storage must simultaneously possess electrical access conditions and communication controllability conditions within the set of candidate access nodes in the distribution network; the scheduling path of mobile energy storage is limited by the traffic status of the transportation network; and the generation range of isolated nodes is limited by the distribution network topology, switch status, and the coverage range of observable and controllable communication nodes.

[0078] S202. In response to disaster information, obtain the set of distribution network faults, the set of ground communication faults, road traffic status, load demand, the predicted output value of distributed power sources, the initial location of mobile energy storage and the initial state of charge of mobile energy storage, and determine the power loss area after fault isolation, the set of operable switches, the set of recoverable loads and the set of candidate access nodes for mobile energy storage.

[0079] Specifically, in response to disaster information, real-time status data is collected from various information systems and fused to identify currently available resources for dispatch and targets requiring restoration. After an extreme disaster occurs, the system may simultaneously experience multiple power line trips, power outages at some nodes, interruptions in ground communication links, and road blockages. The control center needs to comprehensively assess the current system status through multiple information sources to provide input parameters for optimizing subsequent temporary power restoration plans.

[0080] The distribution network fault set is obtained as follows: The control center receives alarm information, telemetry measurements, and telesignal data uploaded by feeder terminal units, distribution terminal units, fault indicators, and smart meters through the distribution automation master station system. For nodes with telesignal uploading capabilities, the faulty line is directly determined based on switch position signals and protection action signals; for nodes unable to upload data due to communication interruptions, the fault is inferred comprehensively based on the local alarm records of the fault indicators and the missing voltage and current measurements of adjacent nodes. The faulty line set is denoted as... The system includes all line numbers and fault types identified as faulty; the power outage load set includes all load nodes that have lost power due to faulty line isolation. The ground communication fault set is obtained as follows: the control center obtains the interruption status and communication quality indicators of each communication link through the online monitoring function of the communication management system. For distribution terminals that cannot complete heartbeat interaction with the control center, their corresponding communication links are marked as interrupted. The road traffic status is obtained as follows: the control center obtains the traffic status of regional roads through the traffic monitoring platform or navigation map interface. The status of each roadside includes fully passable, restricted passable, and impassable. When a road is passable, the equivalent passage length or equivalent passage distance and estimated passage time are further obtained. The load demand is obtained as follows: for nodes with remote measurement capabilities, the current load power is directly collected; for nodes with communication interruptions, a short-term load forecasting model is used to predict based on historical data from the same period and meteorological factors such as temperature. The predicted output values ​​of distributed power sources are obtained as follows: For photovoltaic (PV) power sources, predictions are made based on irradiance prediction data provided by meteorological departments and the output curve model of PV power plants; for wind power sources, predictions are made based on wind speed prediction data and wind turbine power curves; for other types of distributed power sources, predictions are made based on their operation plans and current fuel reserves. The initial location and initial state of charge of mobile energy storage are obtained as follows: The current geographical coordinates are obtained through the mobile energy storage vehicle-mounted positioning terminal, and these coordinates are mapped to the nearest traffic node in the traffic network model; the current remaining power and state of charge percentage are obtained through the battery management system.

[0081] Furthermore, the control center performs fault isolation analysis: based on the set of faulty lines... The faulty line is temporarily removed from the distribution network topology, and a new connectivity analysis is performed to determine which load nodes are not connected to the main grid power source and all healthy distributed power sources. These nodes constitute the power outage area. Simultaneously, an operable switch set is identified: among all sectionalizing switches and tie switches, switches on the faulty line and switches unable to receive commands due to uncontrollable communication are excluded; the remaining healthy and controllable switches constitute the operable switch set. The recoverable load set is determined as follows: within the power outage area, load nodes located downstream of the faulty line and unable to connect to other power sources via any healthy path are excluded; load nodes that can establish a connection path with a power source through the operation of operable switches are included in the recoverable load set. The mobile energy storage candidate access node set is determined as follows: in the power outage area and its adjacent healthy feeders, nodes with mobile energy storage grid-connection interfaces, sufficient access point capacity, and traffic accessibility are selected to form a candidate access node set. In this embodiment, sufficient access point capacity means that the remaining capacity of the node's transformer or line can carry the maximum discharge power of the mobile energy storage; traffic accessibility means that all roadside access along the path from the current location of the mobile energy storage to the node is passable.

[0082] S203. Establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes is temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster.

[0083] Specifically, traditional power distribution network restoration methods rely entirely on terrestrial communication networks. If fiber optic cables break or base stations are damaged, even if distributed power sources and mobile energy storage systems are capable of supplying power, the control center cannot ascertain their status or issue access commands, rendering these flexible resources unable to participate in load restoration. This step addresses this by configuring satellite communication terminals at key nodes and establishing satellite communication links as backup information channels. This allows the control center to obtain status information from key nodes and issue control commands even when terrestrial communication is compromised, thus overcoming the communication bottleneck's constraint on the restoration process.

[0084] The configuration strategy for satellite communication terminals is as follows: During the planning phase before a disaster, satellite communication terminals will be pre-configured at the following types of distribution network nodes: key segment switch nodes and tie switch nodes on the main grid transfer path, distributed power grid connection nodes, mobile energy storage candidate access nodes, and important load nodes. Furthermore, after a disaster, if it is temporarily determined that a node urgently needs considerable and controllable capabilities but has not been pre-configured with a satellite communication terminal, a portable satellite communication terminal can be manually deployed to the site. The activation timing of the satellite communication terminal is automatically determined by the control center based on the ground communication status: when the ground communication link is damaged or unavailable, if the satellite communication terminal configured at the node is working normally and the satellite signal strength meets the communication requirements, it will automatically switch to satellite communication mode. When ground communication is normal, ground communication methods will be prioritized to save satellite bandwidth resources.

[0085] Furthermore, the final observable and controllable state of node i in time period t. From ground communication status and satellite communication status Joint decision, to meet Among them, the status of ground communication. This indicates whether node i is reachable via a ground communication link during time period t. If there is at least one connected path consisting of a healthy communication link between the control center and the distribution terminal corresponding to node i, then... 1, otherwise 0; Satellite communication status This indicates whether node i is reachable via the satellite communication link during time period t. If node i's satellite communication terminal successfully establishes a satellite link and completes a handshake interaction with the control center during time period t, then... 1, otherwise 0; 1 indicates that node i is observable and controllable during time period t. 0 indicates that node i is unobservable and uncontrollable during time period t. Terrestrial communication and satellite communication serve as backups for each other; the availability of either communication method ensures that the node has observable and controllable capabilities.

[0086] Furthermore, the number of nodes that a satellite communication terminal can simultaneously support within the same time period meets the capacity constraint. .in, This indicates whether satellite communication terminal p provides communication support to node i during time period t. This represents the maximum number of nodes that satellite communication terminal p can support simultaneously during the same time period. Represents a set of satellite communication terminals. Let T represent the set of distribution network nodes and T represent the set of scheduling periods. This constraint ensures that, within any scheduling period, the number of nodes supported by each satellite communication terminal does not exceed its physical hardware and bandwidth limits. When the number of nodes to be supported exceeds the capacity limit of the satellite communication terminal, the control center dynamically allocates nodes according to the following priorities: first priority for nodes performing switching operations and mobile energy storage access nodes; second priority for distributed power grid-connected nodes; third priority for important load monitoring nodes; and fourth priority for other general nodes.

[0087] S204. Establish a fault isolation model to keep faulty lines and faulty communication nodes isolated throughout the entire temporary recovery cycle, and use healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration.

[0088] Specifically, the traditional method involves first dispatching repair teams to repair the faulty lines on-site after a disaster, and then restoring power after the repairs are completed. This process often takes several hours or even days under extreme disaster conditions, which cannot meet the urgent power supply needs of critical loads. This step completely excludes the faulty equipment from the recovery plan, keeping it isolated throughout the entire temporary recovery cycle. Only healthy equipment and controllable switches are used to temporarily supply power to the lost loads, allowing the recovery process to begin before the repairs are completed. The specific construction method of the fault isolation model is as follows: For the set of faulty lines... any branch of the road Its switching state remains open throughout the entire temporary recovery period, which satisfies... This constraint ensures that faulty lines do not participate in any network reconfiguration or islanded power supply schemes, preventing secondary accidents caused by putting faulty lines back into operation. For faulty communication nodes, they are permanently removed from the set of observable and controllable nodes. Faulty communication nodes do not participate in remote operations; their connected switches remain in their current state, distributed power sources remain shut down or off-grid, and loads remain de-energized until communication is restored before they can be reintegrated into the optimization scope. Based on fault isolation, the control center only optimizes the temporary power restoration scheduling for healthy lines, operable switches, distributed power source nodes (limited to communication-controllable nodes), and connected mobile energy storage systems.

[0089] S205. Establish a scheduling and access model for mobile energy storage systems. Based on the traffic network road conditions, the current location of the mobile energy storage system, the travel time of the mobile energy storage system, the capacity of the candidate access nodes, the importance of the load, and the controllability of satellite communication, determine the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system.

[0090] Specifically, unlike normal operating conditions, post-disaster roads may be damaged, flooded, and obstructed, leading to increased travel distances or reduced speeds. Simultaneously, mobile energy storage systems need to be connected to the distribution network after reaching the access node, requiring that node to have electrical access and controllable communication capabilities. Therefore, this step requires a comprehensive consideration of traffic constraints, electrical constraints, and communication constraints to collaboratively determine a complete dispatch scheme for mobile energy storage.

[0091] Specifically, the calculation method for the scheduling path of the mobile energy storage system is as follows: For each mobile energy storage system ω∈Ω, its current location in time period t has been obtained. For each candidate access node, the control center uses the current location of the mobile energy storage system as the starting point and the candidate access node as the ending point, and calculates the shortest path in the traffic network model using Dijkstra's algorithm. This path consists of a series of continuous traffic edges. Since road traffic conditions may change over time, the shortest path is also time-varying and needs to be recalculated in each scheduling period. The total travel distance of the path is the sum of the effective travel lengths or equivalent travel distances of all traffic edges on the path. If there are impassable road edges on a path, the path is excluded from the candidate path set. Please refer to [link to relevant documentation]. Figure 3 , Figure 3 This is a schematic diagram of a multi-layer spatiotemporal network scheduling of a mobile energy storage system provided in an embodiment of this application, as shown below. Figure 3 As shown, in a multi-layered spatiotemporal network, a mobile energy storage system starts from its initial location, travels along different time-phased paths (including the path from the initial location and intermediate transfer paths), and finally reaches the target access node location. Figure 3 It demonstrates the entire process path planning of a mobile energy storage system from its initial location to its final access location, as well as the time sequence relationship between accessible energy storage nodes, clarifying the spatiotemporal coupling logic of "when to start, which paths to take, and when to arrive".

[0092] Furthermore, the travel distance meets the following requirements:

[0093]

[0094] Arrival time slot meets:

[0095]

[0096] in, This represents the reachable path of the mobile energy storage system ω to node i during time period t. This indicates the effective passage length or equivalent passage distance of roadside e during time period t. This represents the travel distance from the mobile energy storage system ω to node i. This represents the average speed of the mobile energy storage system ω during time period t. Indicates the length of the scheduling period. This indicates rounding up. This calculation method discretizes continuous road travel time into the number of scheduling periods, ensuring that the arrival time of mobile energy storage is consistent with the discrete-time optimization model of the distribution network in terms of time scale.

[0097] The selection criteria for mobile energy storage access nodes are as follows: The control center conducts a comprehensive evaluation of each candidate access node. The evaluation factors include: the travel time from the current location of the mobile energy storage to the node (the shorter the time, the higher the score); the critical load capacity that the node can restore after access; and the controllable status of the node's satellite communication. ,only Only nodes with a score of 1 are allowed to be used as target access nodes; the access point capacity of the node must be sufficient to handle the maximum discharge power of the mobile energy storage. The control center selects the candidate node with the highest comprehensive score as the target access node based on the above scoring.

[0098] After a mobile energy storage system reaches its target access node, its discharge power is determined as follows: the charging and discharging state of the mobile energy storage system ω during time period t is determined by binary variables. and express, =1 indicates that it is in a charging state. =1 indicates that the device is in a discharging state. The charging and discharging power satisfies:

[0099]

[0100] in, and Indicates mobile energy storage system The charging and discharging power during time period t, and Indicates mobile energy storage system Maximum charging and discharging power This represents a collection of mobile energy storage systems. The mutual exclusion constraint between charge and discharge states ensures that mobile energy storage systems cannot charge and discharge simultaneously within the same time period. During temporary recovery phases, mobile energy storage systems primarily perform discharge operations to support the load, considering charging only in special circumstances where distributed power sources have excess output and a low state of charge.

[0101] Furthermore, the energy recursive relationship of the state of charge of the mobile energy storage system during the charging and discharging process satisfies:

[0102]

[0103]

[0104] in, Indicates mobile energy storage system The remaining battery power in time period t and These represent charging power and discharging power, respectively. and These represent charging efficiency and discharging efficiency, respectively. and These represent the lower limit of emergency backup power and the upper limit of rated capacity for a mobile energy storage system, respectively. The state of charge (SBC) is always maintained between these two limits. This energy recursion reflects the physical characteristics of the battery energy storage system: during charging, the charge increases but energy conversion losses occur; during discharging, the charge decreases, and the actual released energy is less than the energy consumed internally by the battery; when idle, the charge slowly decays due to self-discharge. The SBC constraints ensure that the mobile energy storage system will not damage the battery due to over-discharge, while maintaining emergency backup power to cope with emergencies.

[0105] S206. Establish a collaborative model for network reconfiguration and multi-source island generation. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, optimize the state of distribution network segment switches and tie switches to generate a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system.

[0106] Specifically, after fault isolation, the power-loss area may be disconnected from the main grid, but it may still contain distributed power sources and mobile energy storage systems dispatched via transportation networks. By optimizing the opening and closing states of sectionalizing switches and tie switches, the power-loss area can be divided into several independent power supply areas—i.e., islands—each powered by one or more power sources. Unlike traditional single-power islands, this step supports island forms supported by main grid transfer, distributed power sources, mobile energy storage, and multiple power sources, in order to maximize the utilization of available power resources and expand the load restoration range.

[0107] The specific optimization process for network reconstruction and multi-source island generation is as follows: The control center uses an observable and controllable set of nodes as the basis and an operable set of switches as the control variables. An optimization algorithm is then used to determine the closing state of each segment switch and tie switch in time period t. Optimization of switch states must satisfy radial topology constraints, meaning each island maintains a radial operating structure without loops, ensuring proper coordination of distribution network protection devices and effective fault current isolation. Node voltage constraints require that the voltage amplitude of each node remain within allowable ranges; line capacity constraints require that the power flowing through each branch does not exceed its maximum allowable capacity. Distributed generation output constraints require that the active power output of each distributed generation does not exceed its maximum available output prediction value, and that the power factor is within allowable adjustment ranges.

[0108] Furthermore, after optimizing the switch status, the control center divides the distribution network into several independent recovery islands based on switch status and topology connectivity analysis. The island types in the multi-source islanding temporary power supply scheme include grid-switched islands, distributed generation islands, mobile energy storage islands, and islands jointly supported by distributed generation and mobile energy storage. Specifically: grid-switched islands are those connected to the grid's healthy feeder via tie switches and supported by grid power; distributed generation islands are those supported only by distributed generation within the island; mobile energy storage islands are those supported only by connected mobile energy storage systems; and islands jointly supported by distributed generation and mobile energy storage include both distributed generation and connected mobile energy storage systems, supported by both. The power supply capacity of these four island types is determined as follows: the effective power supply capacity of any island is determined by the types of power sources contained within it, satisfying the following conditions: ,in, This indicates whether island k has effective power supply capability during time period t. , , These indicate whether island k is supported by mains power, distributed power, and mobile energy storage systems, respectively. Furthermore, the prerequisite for load node recovery is... ,in, This indicates whether load node i has its power restored during time period t. Let k represent the set of nodes in island k during time period t. This constraint ensures that load will not be restored in islands without power support.

[0109] Furthermore, the active power balance constraint for any isolated island satisfies:

[0110]

[0111] in, This represents the set of distributed power sources within island k. This represents the collection of mobile energy storage systems connected within island k. This indicates the power supplied by the main network to the isolated island k. Denotes the set of loads within island k. This represents the load power of node i during time period t. This represents the network loss of island k during time period t. The physical meaning of this equation constraint is: the total active power output of all power sources within the island must equal the sum of the power demand of all restored loads within the island and the network loss. The power balance constraint is satisfied by adjusting the output of distributed power sources and the discharge power of mobile energy storage: when load demand increases, the output of distributed power sources is increased first, and the shortfall is supplemented by mobile energy storage; when the output of distributed power sources exceeds the load demand, the mobile energy storage can be charged if its state of charge allows, or the output of distributed power sources can be appropriately reduced.

[0112] S207. Establish a load temporary recovery optimization model with the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing network loss. Determine the load recovery status, mobile energy storage access location, mobile energy storage discharge power, islanding boundary, and network reconfiguration scheme for each scheduling period.

[0113] Specifically, during temporary load recovery, several conflicting optimization objectives exist: on the one hand, there is a desire to restore as many critical loads as possible; on the other hand, mobile energy storage discharge incurs battery degradation and maintenance costs, and network losses reduce energy efficiency. Therefore, a multi-objective optimization model is needed to quantify these objectives into unified numerical indicators for trade-offs. The objective function of the temporary load recovery optimization model consists of three terms: The first term represents the revenue from temporary restoration of weighted load; the second term represents the cost of mobile energy storage discharge loss, with higher discharge power and longer discharge time resulting in higher loss cost; and the third term represents the network loss penalty. This represents the importance weight of load node i. Important loads have higher weights, while general loads have lower weights. The more loads restored and the higher their importance, the greater the benefit. Indicates mobile energy storage system The unit discharge maintenance cost, , These are weighting coefficients used to balance the differences in scale and priority among different objectives. During optimization, the control center treats all constraints as constraints and the above objective function as the optimization objective, employing mixed-integer linear programming or mixed-integer quadratic programming algorithms for solution. Decision variables include the closed state of each switch in each time period. Recovery status of each load at each time period Charging and discharging power of mobile energy storage at different times and Target access nodes for mobile energy storage, and boundary delineation of each isolated island. By solving this optimization model, a set of decision variables that maximizes the objective function value while satisfying all operational constraints is obtained, which is the optimal temporary power supply restoration scheme.

[0114] S208. The recovery scheme is updated using a rolling optimization method. During each scheduling period, the solutions for the mobile energy storage system scheduling and access model, the network reconfiguration and multi-source islanding generation collaborative model, and the temporary load recovery optimization model are re-executed based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, until the temporary power supply recovery termination conditions are met.

[0115] Specifically, during temporary power restoration, load demand fluctuates over time, distributed power output changes with weather conditions, the state of charge of mobile energy storage decreases as it discharges, the location of deployed mobile energy storage continuously moves closer to the target, and the availability of satellite communication links may also change. If optimization is performed only once and the solution is fixed, the original solution may gradually deviate from the actual situation or even become infeasible over time. Therefore, a rolling optimization mechanism is needed to re-collect the latest status and re-execute the complete optimization solution in each scheduling period, ensuring that the restoration plan is always based on the latest information and maintains its adaptability to changes in status.

[0116] Please see Figure 4 , Figure 4 This is a schematic diagram of the traffic network path update for a satellite-supported mobile energy storage system provided in an embodiment of this application, as shown below. Figure 4 As shown, the specific execution flow of the rolling optimization method is as follows: At the beginning of each scheduling period t, the control center first executes the information acquisition step in S202, updating the current period's load demand forecast, distributed power output forecast, current location of mobile energy storage, current state of charge of mobile energy storage, and satellite communication availability. Then, the control center sets a finite rolling optimization window starting from the current period t. Within the rolling optimization window, based on the updated latest state, it re-executes all optimization models from S203 to S207 to solve for the complete recovery scheme from period t to the end of the window. However, in actual execution, only the scheme for period t in the optimization results is executed; schemes for subsequent periods are kept as backup plans and not executed. At the beginning of the next period t+1, the control center updates the state again, rolls the optimization window forward by one period, re-executes the optimization calculation, and only executes the new scheme for the current period. This cycle continues until the temporary power supply recovery termination condition is met.

[0117] The rolling optimization process terminates when any one of the following conditions is met: (1) the external main grid power supply is restored to normal, and the power-loss area is reconnected to the main grid; (2) the state of charge of the mobile energy storage system reaches the emergency standby lower limit, and the output of the distributed power supply cannot meet the power supply needs of the remaining important loads; (3) the preset temporary power supply cycle ends; (4) the recovery ratio of important loads reaches the preset requirements; (5) the manual dispatch system issues a stop temporary power supply command. In this embodiment, through the above-mentioned rolling optimization mechanism, the recovery scheme can be continuously updated with the dynamic changes in the system state. At the same time, the finite time domain rolling optimization greatly reduces the scale of decision variables and the amount of computation for solving a single optimization problem, enabling the optimization model to be solved quickly under the computing resource conditions of the distribution automation master station, thus meeting the real-time requirement of the minute-level update frequency of the temporary recovery scheme.

[0118] The following example illustrates the overall process of this application embodiment through a specific application scenario. Assume a region suffers a typhoon disaster, and three 10kV feeders in the distribution network trip due to tree debris, causing power loss to six load nodes, including a hospital and an emergency command center. Simultaneously, two terrestrial fiber optic communication links are interrupted, resulting in a loss of communication between the distribution terminals within the power outage area and the control center. The control center first executes S201, importing distribution network topology data from the distribution management system, importing communication network topology from the communication network management system, obtaining satellite coverage information from the satellite communication operator, obtaining road traffic status from the traffic monitoring platform, and obtaining status information of each mobile energy storage vehicle from the mobile energy storage vehicle terminal. Then, it executes S202, acquiring information on the faulty lines and power-loss loads, and identifying operable switches and candidate mobile energy storage access nodes. Next, it executes S203, determining that five nodes become observable and controllable through satellite communication links, merging them with the two nodes reachable through terrestrial communication, resulting in a total of seven observable and controllable nodes. Execute S204 to mark the three tripped feeders as faulty lines and maintain their isolation throughout the recovery cycle. Execute S205 to dispatch two mobile energy storage vehicles from the mobile energy storage parking base. Based on the shortest path calculation of the transportation network, one vehicle needs 15 minutes to reach a candidate access node near the hospital, and the other needs 25 minutes to reach a candidate access node near the emergency command center. The state-of-charge recursive model ensures that both mobile energy storage vehicles have sufficient power to support the load throughout the recovery cycle. Execute S206 to optimize the status of sectionalizing switches and tie switches, forming one island jointly supported by the photovoltaic power source and the first mobile energy storage vehicle, and another island solely supported by the second mobile energy storage vehicle. Simultaneously, a main grid transfer island is formed through the tie switches. Execute S207 to determine the load recovery plan and mobile energy storage discharge power for each time period, aiming to maximize the weighted load recovery and minimize operating losses. Finally, execute S208 to continuously update the plan based on status changes in each subsequent dispatch period until the critical load recovery ratio reaches the preset requirements.

[0119] This application provides a method for the recovery of a distribution network supported by satellite communication, combining mobile energy storage with multi-source islanding. By constructing a post-disaster temporary recovery object model for the distribution network and establishing an observable and controllable node generation model supported by satellite communication, the method utilizes satellite communication links to temporarily restore information transmission capabilities between the control center and key switching nodes, distributed power generation nodes, mobile energy storage access nodes, and important load nodes when ground communication links are damaged or unavailable, thus overcoming the constraint of communication bottlenecks on the recovery process. Furthermore, by establishing a joint solution framework for a mobile energy storage system scheduling and access model, a network reconfiguration and multi-source islanding generation collaborative model, and a load temporary recovery optimization model, the method integrates the mobile energy storage's travel path, access location, charging and discharging power with the distribution network. By coordinating the status of sectionalizing switches and tie switches, and optimizing islanding boundaries, four types of multi-source islanding temporary power supply schemes are generated: main grid-to-islanding, distributed power islanding, mobile energy storage islanding, and islanding jointly supported by distributed power and mobile energy storage systems. This maximizes the utilization of available power resources within the power outage area. Furthermore, by dynamically adapting to post-disaster status changes through rolling optimization, the recovery scheme is re-optimized in each scheduling period based on changes in load demand, distributed power output, mobile energy storage location and state of charge, and satellite communication availability. This effectively shortens the outage time of critical loads and significantly improves the emergency power supply capacity and operational resilience of the distribution network under extreme disaster conditions.

[0120] Please see Figure 5 , Figure 5 This is a structural block diagram of a satellite communication-supported mobile energy storage and multi-source islanded collaborative power distribution network restoration device provided in an embodiment of this application. Figure 5 As shown: The mobile energy storage and multi-source islanded collaborative distribution network restoration device 500 supported by satellite communication includes: a construction module 510, an acquisition module 520, a first establishment module 530, a second establishment module 540, a third establishment module 550, a fourth establishment module 560, a fifth establishment module 570, and an update module 580, wherein:

[0121] Module 510 is used to construct a temporary post-disaster recovery object model for the distribution network. This recovery object model includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. Specifically, the distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage. The power communication network model includes a control center, communication links, and distribution terminals. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. The transportation network model includes road nodes, roadside locations, road traffic status, and mobile energy storage travel time. The mobile energy storage system model includes the location, capacity, state of charge, maximum charging / discharging power, and access status of the mobile energy storage system.

[0122] The acquisition module 520 is used to respond to disaster information by acquiring the set of distribution network faults, the set of ground communication faults, road traffic status, load demand, the predicted output value of distributed power sources, the initial location of mobile energy storage and the initial state of charge of mobile energy storage, and to determine the power loss area after fault isolation, the set of operable switches, the set of recoverable loads and the set of candidate access nodes for mobile energy storage.

[0123] The first module 530 is used to establish a model for generating observable and controllable nodes under the support of satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes is temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster.

[0124] The second module 540 is used to establish a fault isolation model, keeping faulty lines and faulty communication nodes isolated throughout the entire temporary recovery cycle, and using healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration.

[0125] The third module 550 is used to establish a scheduling and access model for the mobile energy storage system. Based on the traffic network road conditions, the current location of the mobile energy storage, the travel time of the mobile energy storage, the capacity of the candidate access nodes, the importance of the load, and the controllability of satellite communication, the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system are determined.

[0126] The fourth module 560 is used to establish a collaborative model for network reconfiguration and multi-source island generation. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, it optimizes the state of distribution network segment switches and tie switches, and generates a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system.

[0127] The fifth module 570 is used to establish a load temporary recovery optimization model. With the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss, it determines the load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period.

[0128] The update module 580 is used to update the recovery scheme using a rolling optimization method. In each scheduling period, based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, it re-executes the solutions for the mobile energy storage system scheduling and access model, network reconfiguration and multi-source islanding generation collaborative model, and load temporary recovery optimization model until the temporary power supply recovery termination condition is met.

[0129] It should be noted that the above embodiments of the mobile energy storage and multi-source islanded collaborative distribution network restoration device supported by satellite communication, when executing the mobile energy storage and multi-source islanded collaborative distribution network restoration method supported by satellite communication, are only illustrative examples of the above-described functional module divisions. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the mobile energy storage and multi-source islanded collaborative distribution network restoration device supported by satellite communication and the embodiment of the method for restoring the mobile energy storage and multi-source islanded collaborative distribution network supported by satellite communication provided in the above embodiments belong to the same concept, and their implementation process is detailed in the method embodiment, which will not be repeated here.

[0130] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0131] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 6 As shown, the electronic device 600 may include: at least one processor 601, at least one network interface 604, user interface 603, memory 605, and at least one communication bus 602.

[0132] The communication bus 602 is used to enable communication between these components.

[0133] The user interface 603 may include a display screen and a camera. Optional user interfaces 603 may include standard wired interfaces and wireless interfaces.

[0134] The network interface 604 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0135] The processor 601 may include one or more processing cores. The processor 601 connects to various parts within the electronic device 600 using various interfaces and lines, and performs various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 605, and by calling data stored in the memory 605. Optionally, the processor 601 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 601 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 601 and may be implemented as a separate chip.

[0136] The memory 605 may include random access memory (RAM) or read-only memory. Optionally, the memory 605 may include a non-transitory computer-readable storage medium. The memory 605 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 605 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 605 may also be at least one storage device located remotely from the aforementioned processor 601. Figure 6 As shown, the memory 605, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a mobile energy storage and multi-source islanded collaborative distribution network recovery application supported by satellite communication.

[0137] exist Figure 6In the electronic device 600 shown, the user interface 603 is mainly used to provide an input interface for users and obtain user input data; while the processor 601 can be used to call the satellite communication-supported mobile energy storage and multi-source islanded collaborative distribution network recovery application stored in the memory 605, and specifically perform the following operations: construct a distribution network post-disaster temporary recovery object model, which includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model; wherein, the distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and mobile energy storage candidate access nodes; the power communication network model includes a control center, communication links, and distribution terminals; the satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships; the transportation network model includes road nodes, roadside, road traffic status, and mobile energy storage travel time; the mobile energy storage system model includes the location, capacity, state of charge, maximum charging and discharging power, and access status of the mobile energy storage system;

[0138] In response to disaster information, the system acquires the set of distribution network faults, ground communication faults, road traffic status, load demand, distributed power generation output forecasts, initial location of mobile energy storage, and initial state of charge of mobile energy storage. It then determines the power outage area after fault isolation, the set of operable switches, the set of recoverable loads, and the set of candidate access nodes for mobile energy storage.

[0139] Establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes can be temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster.

[0140] Establish a fault isolation model to keep faulty lines and communication nodes isolated throughout the entire temporary recovery cycle, and use healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration;

[0141] Establish a scheduling and access model for mobile energy storage systems. Based on the traffic network road conditions, the current location of the mobile energy storage system, the travel time of the mobile energy storage system, the capacity of candidate access nodes, the importance of the load, and the controllability of satellite communication, determine the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system.

[0142] A collaborative model for network reconfiguration and multi-source island generation is established. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, the state of distribution network segment switches and tie switches is optimized to generate a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system.

[0143] A load temporary recovery optimization model is established with the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss. The load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period are determined.

[0144] The recovery scheme is updated using a rolling optimization approach. During each scheduling period, the solutions for the mobile energy storage system scheduling and access model, the network reconfiguration and multi-source islanding generation collaborative model, and the temporary load recovery optimization model are re-executed based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, until the temporary power supply recovery termination conditions are met.

[0145] In some possible embodiments, in the observable and controllable node generation model, the final observable and controllable state of node i in time period t. From ground communication status and satellite communication status Jointly decided, to satisfy:

[0146]

[0147] in, This indicates whether node i is reachable via a ground communication link during time period t. Indicates whether node i is reachable via satellite communication link during time period t; 1 indicates that node i is observable and controllable during time period t. 0 indicates that node i is unobservable and uncontrollable during time period t;

[0148] If a node is reachable via either a terrestrial communication link or a satellite communication link, then the node is determined to be an observable and controllable node during time period t.

[0149] In some possible embodiments, the number of nodes that a satellite communication terminal can simultaneously support within a given time period satisfies capacity constraints:

[0150]

[0151] in, This indicates whether satellite communication terminal p provides communication support to node i during time period t. This represents the maximum number of nodes that satellite communication terminal p can support simultaneously during the same time period. Represents a set of satellite communication terminals. This represents the set of nodes in the distribution network.

[0152] In some possible embodiments, the islanding temporary power supply scheme for multi-source islanding includes main grid-supplied islands, distributed generation islands, mobile energy storage islands, and islands jointly supported by distributed generation and mobile energy storage; the effective power supply capacity of any island is jointly determined by the types of power sources contained within the island, satisfying the following formula:

[0153]

[0154] and

[0155]

[0156] in, This indicates whether island k has effective power supply capability during time period t. , , These indicate whether island k is supported by main grid power, distributed power, and mobile energy storage systems, respectively. This indicates whether load node i has its power restored during time period t. Let k represent the set of nodes of island k during time period t.

[0157] In some possible embodiments, in a multi-source islanded temporary power supply scheme, the active power balance constraint of any island satisfies:

[0158]

[0159] in, This represents the set of distributed power sources within island k. This represents the collection of mobile energy storage systems connected within island k. This indicates the power supplied by the main network to the isolated island k. Denotes the set of loads within island k. This represents the load power of node i during time period t. This represents the network loss of island k during time period t.

[0160] In some possible embodiments, in the mobile energy storage system scheduling and access model, the travel time of the mobile energy storage system from its current location to the target access node is determined based on the shortest path of the traffic network and road traffic conditions, satisfying:

[0161]

[0162]

[0163] in, This represents the reachable path of the mobile energy storage system ω to node i during time period t. This indicates the effective passage length or equivalent passage distance of roadside e during time period t. This represents the travel distance from the mobile energy storage system ω to node i. This represents the average speed of the mobile energy storage system ω during time period t. Indicates the length of the scheduling period. This indicates rounding up to the nearest integer.

[0164] In some possible embodiments, in the mobile energy storage system scheduling and access model, the energy recursive relationship of the state of charge of the mobile energy storage system during the charging and discharging process satisfies:

[0165]

[0166]

[0167] in, Indicates mobile energy storage system The remaining battery power in time period t and These represent charging power and discharging power, respectively. and These represent charging efficiency and discharging efficiency, respectively. and These represent the lower limit of emergency backup power and the upper limit of rated capacity of the mobile energy storage system, respectively.

[0168] This application also provides a computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform the above-described instructions. Figure 2 One or more steps in the illustrated embodiment. If the constituent modules of the aforementioned satellite communication-supported mobile energy storage and multi-source islanded collaborative distribution network restoration device are implemented as software functional units and sold or used as independent products, they can be stored in the computer-readable storage medium.

[0169] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital versatile discs (DVDs)), or semiconductor media (e.g., solid state disks (SSDs)).

[0170] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium includes various media capable of storing program code, such as read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks. Unless otherwise specified, the technical features of this embodiment and its implementation schemes can be combined arbitrarily.

[0171] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. It will be apparent to those skilled in the art that various modifications can be made to these embodiments, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for restoring a mobile energy storage and multi-source islanded collaborative distribution network supported by satellite communication, characterized in that, The method includes: A post-disaster temporary recovery object model for the distribution network is constructed. This recovery object model includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. Specifically, the distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage. The power communication network model includes a control center, communication links, and distribution terminals. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. The transportation network model includes road nodes, roadside locations, road traffic status, and mobile energy storage travel time. The mobile energy storage system model includes the location, capacity, state of charge, maximum charging / discharging power, and access status of the mobile energy storage system. In response to disaster information, the system acquires the set of distribution network faults, ground communication faults, road traffic status, load demand, distributed power generation output forecasts, initial location of mobile energy storage, and initial state of charge of mobile energy storage. It then determines the power outage area after fault isolation, the set of operable switches, the set of recoverable loads, and the set of candidate access nodes for mobile energy storage. Establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes can be temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster. Establish a fault isolation model to keep faulty lines and communication nodes isolated throughout the entire temporary recovery cycle, and use healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration; Establish a scheduling and access model for mobile energy storage systems. Based on the traffic network road conditions, the current location of the mobile energy storage system, the travel time of the mobile energy storage system, the capacity of candidate access nodes, the importance of the load, and the controllability of satellite communication, determine the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system. A collaborative model for network reconfiguration and multi-source island generation is established. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, the state of distribution network segment switches and tie switches is optimized to generate a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system. A load temporary recovery optimization model is established with the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss. The load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period are determined. The recovery scheme is updated using a rolling optimization approach. During each scheduling period, the solutions to the mobile energy storage system scheduling and access model, network reconfiguration and multi-source islanding generation collaborative model, and temporary load recovery optimization model are re-executed based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, until the temporary power supply recovery termination conditions are met.

2. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 1, characterized in that, In the observable and controllable node generation model, the final observable and controllable state of node i in time period t. From ground communication status and satellite communication status Jointly decided, to satisfy: ； in, This indicates whether node i is reachable via a ground communication link during time period t. Indicates whether node i is reachable via satellite communication link during time period t; 1 indicates that node i is observable and controllable during time period t. 0 indicates that node i is unobservable and uncontrollable during time period t; If the node is reachable via either a terrestrial communication link or a satellite communication link, then the node is determined to be an observable and controllable node during time period t.

3. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 2, characterized in that, The number of nodes that the satellite communication terminal can support simultaneously within the same time period meets the capacity constraint: ； in, This indicates whether satellite communication terminal p provides communication support to node i during time period t. This represents the maximum number of nodes that satellite communication terminal p can support simultaneously during the same time period. Represents a set of satellite communication terminals. This represents the set of nodes in the distribution network.

4. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 1, characterized in that, In the multi-source islanding temporary power supply scheme, the island types include grid-supplied islands, distributed generation islands, mobile energy storage islands, and islands jointly supported by distributed generation and mobile energy storage; the effective power supply capacity of any island is determined by the types of power sources contained within it, satisfying the following formula: and ; in, This indicates whether island k has effective power supply capability during time period t. , , These indicate whether island k is supported by main grid power, distributed power, and mobile energy storage systems, respectively. This indicates whether load node i has its power restored during time period t. Let k represent the set of nodes of island k during time period t.

5. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 4, characterized in that, In the aforementioned multi-source islanded temporary power supply scheme, the active power balance constraint of any island satisfies: ； in, This represents the set of distributed power sources within island k. This represents the collection of mobile energy storage systems connected within island k. This indicates the power supplied by the main network to the isolated island k. Denotes the set of loads within island k. This represents the load power of node i during time period t. This represents the network loss of island k during time period t.

6. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 1, characterized in that, In the mobile energy storage system scheduling and access model, the travel time from the current location to the target access node is determined based on the shortest path of the transportation network and road traffic conditions, satisfying the following: ； ； in, This represents the reachable path of the mobile energy storage system ω to node i during time period t. This indicates the effective passage length or equivalent passage distance of roadside e during time period t. This represents the travel distance from the mobile energy storage system ω to node i. This represents the average speed of the mobile energy storage system ω during time period t. Indicates the length of the scheduling period. This indicates rounding up to the nearest integer.

7. The method for restoring mobile energy storage and multi-source islanded collaborative distribution networks supported by satellite communication according to claim 1, characterized in that, In the mobile energy storage system scheduling and access model, the energy recursive relationship of the state of charge of the mobile energy storage system during the charging and discharging process satisfies: ； ； in, Indicates mobile energy storage system The remaining battery power in time period t and These represent charging power and discharging power, respectively. and These represent charging efficiency and discharging efficiency, respectively. and These represent the lower limit of emergency backup power and the upper limit of rated capacity of the mobile energy storage system, respectively.

8. A mobile energy storage and multi-source islanded collaborative distribution network restoration device supported by satellite communication, characterized in that, The device includes: A construction module is used to build a temporary recovery object model for the distribution network after a disaster. This recovery object model includes a distribution network model, a power communication network model, a satellite communication network model, a transportation network model, and a mobile energy storage system model. Specifically, the distribution network model includes main grid power nodes, distributed power nodes, load nodes, switching equipment, line equipment, and candidate access nodes for mobile energy storage. The power communication network model includes a control center, communication links, and distribution terminals. The satellite communication network model includes satellite communication terminals, satellite links, and satellite coverage relationships. The transportation network model includes road nodes, roadside locations, road traffic status, and mobile energy storage travel time. The mobile energy storage system model includes the location, capacity, state of charge, maximum charging / discharging power, and access status of the mobile energy storage system. The acquisition module is used to respond to disaster information by acquiring the set of distribution network faults, the set of ground communication faults, road traffic status, load demand, the predicted output value of distributed power sources, the initial location of mobile energy storage and the initial state of charge of mobile energy storage, and to determine the power loss area after fault isolation, the set of operable switches, the set of recoverable loads and the set of candidate access nodes for mobile energy storage. The first module is used to establish a model for generating observable and controllable nodes supported by satellite communication. When the ground communication link is damaged or unavailable, the information transmission capability between the control center and key switching nodes, distributed power nodes, mobile energy storage access nodes and important load nodes is temporarily restored through the satellite communication link to obtain a set of observable and controllable nodes after the disaster. The second module is used to establish a fault isolation model, keeping faulty lines and faulty communication nodes isolated throughout the entire temporary recovery cycle, and using healthy lines, operable switches, distributed power sources and mobile energy storage systems for temporary power restoration. The third module is used to establish a scheduling and access model for the mobile energy storage system. Based on the traffic network road conditions, the current location of the mobile energy storage, the travel time of the mobile energy storage, the capacity of the candidate access nodes, the importance of the load, and the controllability of satellite communication, the scheduling path, target access node, arrival time, and discharge power of the mobile energy storage system are determined. The fourth module is used to establish a collaborative model for network reconfiguration and multi-source island generation. Under the conditions of satisfying fault isolation constraints, satellite communication controllability constraints, radial topology constraints, voltage constraints, line capacity constraints, power balance constraints, distributed power output constraints, and mobile energy storage constraints, it optimizes the state of distribution network segment switches and tie switches, and generates a multi-source island temporary power supply scheme jointly supported by the main grid power supply, distributed power supply, and mobile energy storage system. The fifth module is used to establish a load temporary recovery optimization model. With the objectives of maximizing the weighted load temporary recovery amount, minimizing the mobile energy storage driving and scheduling cost, minimizing the mobile energy storage discharge loss, and minimizing the network loss, the module determines the load recovery status, mobile energy storage access location, mobile energy storage discharge power, island boundary, and network reconfiguration scheme for each scheduling period. The update module is used to update the recovery scheme using a rolling optimization method. In each scheduling period, based on changes in load demand, distributed power output, mobile energy storage location, mobile energy storage state of charge, and satellite communication availability, the solution of the mobile energy storage system scheduling and access model, network reconfiguration and multi-source islanding generation collaborative model, and load temporary recovery optimization model is re-executed until the temporary power supply recovery termination condition is met.

9. A computer storage medium, characterized in that, The computer storage medium stores a plurality of instructions adapted for loading by a processor and executing the steps of the method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method as described in any one of claims 1 to 7.

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