Distribution network multi-resource emergency repair and restoration method, system, equipment and medium based on V2G pre-dispatching

Abstract

The present invention belongs to the technical field of power system emergency restoration, and discloses a distribution network multi-resource emergency repair and restoration method, system, equipment and medium based on V2G pre-dispatching, in order to solve the problem that the potential of V2G technology in post-disaster emergency repair has not been fully utilized. The method of the present invention includes: obtaining distribution network information and fault line information; constructing an electric vehicle owner's profit model and completing electric vehicle pre-dispatching based on this; constructing a post-disaster multi-resource collaborative emergency repair and restoration model and inputting dispatchable parameters, with the minimum comprehensive emergency repair and restoration cost of the distribution network as the optimization goal, and coordinating electric vehicle constraints, new energy power supply constraints, emergency repair team operation constraints and power flow constraints, using the Gurobi commercial solver to solve the post-disaster multi-resource collaborative emergency repair and restoration model to output the optimal fault recovery plan. The present invention significantly reduces the scale of load loss in the post-disaster distribution network by coordinating the charging and discharging behavior of electric vehicles with the output of distributed renewable power sources.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system emergency restoration, and specifically relates to a distribution network multi-resource emergency repair and restoration method, system, equipment and medium based on V2G pre-dispatching. Background Art

[0002] Traditional distribution networks rely on a one-way power supply model, where electricity is transmitted from the generator through the transmission network to the user. With the increasing popularity of distributed energy resources and electric vehicles, vehicle-to-grid (V2G) technology enables bidirectional power flow, making electric vehicles dispatchable energy storage units. During extreme weather events such as typhoons, distribution networks often experience regional power outages due to structural damage such as collapsed towers and broken lines. Traditional emergency repair methods rely primarily on manual inspections and staged restoration, which suffer from slow response times, inefficient resource allocation, and ineffective response to multiple concurrent fault points. While V2G technology theoretically can provide emergency power support, existing technologies are still limited in the following areas: First, there is a lack of pre-disaster dispatch mechanisms to ensure timely response by electric vehicles in the event of a disaster; second, the compatibility between the temporal and spatial distribution characteristics of electric vehicles and grid restoration requirements is not fully considered; third, there is a lack of effective integration of V2G technology with distributed wind and solar power generation and emergency repair teams for coordinated optimization; and fourth, there is a lack of quantitative evaluation models to balance power supply costs with restoration efficiency. These defects have resulted in the failure to fully realize the potential of vehicle-to-grid (V2G) technology in post-disaster emergency repairs, which in turn has restricted the improvement of the rapid recovery capability of the distribution network. Summary of the Invention

[0003] Based on the above-mentioned shortcomings and deficiencies in the prior art, one of the objects of the present invention is to at least solve one or more of the above-mentioned problems in the prior art. In other words, one of the objects of the present invention is to provide a V2G pre-dispatching-based distribution network multi-resource emergency repair and recovery method, system, equipment and medium that meet one or more of the above-mentioned needs, so as to achieve the purpose of improving the efficiency of post-disaster distribution network emergency repair.

[0004] In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present invention provides a distribution network multi-resource emergency repair and restoration method based on V2G pre-dispatching, comprising the steps of: S1, obtaining distribution network information and fault line information, including distribution network grid structure, loads at each node of the distribution network, fault line location information, traffic travel time between distribution network nodes, electric vehicle power supply port location information, wind turbine parameters, photovoltaic generator parameters and repair team starting point information; S2, constructing an electric vehicle owner profit model and completing electric vehicle pre-dispatching based on the model, wherein the dispatchable parameters of the electric vehicle owner profit model include power supply incentives, power supply profit coefficients, stay time, charging power and toll compensation; S3, constructing a post-disaster multi-resource collaborative emergency repair and restoration model and inputting the dispatchable parameters, with the minimization of the comprehensive emergency repair and restoration cost of the distribution network as the optimization goal, and comprehensively coordinating electric vehicle constraints, new energy power supply constraints, repair team operation constraints and flow constraints, and using the Gurobi commercial solver to solve the post-disaster multi-resource collaborative emergency repair and restoration model to output the optimal fault recovery solution.

[0006] As a preferred solution: the electric vehicle owner income model is expressed as , where For electric vehicles Power supply incentive, As the profit coefficient, electric vehicles The supplied power is converted into power supply income. For electric vehicles At the power supply point The duration of stay, For electric vehicles The charging power, For electric vehicles Compensation for travel expenses.

[0007] As a preferred solution:

[0008] The comprehensive repair and restoration cost of the distribution network Including electric vehicle power supply costs , the cost of new energy power supply 2. Repair team dispatch costs and load loss costs , then its expression is ;

[0009] The cost of new energy power supply Including wind turbine power supply costs and photovoltaic power generation cost ,Right now ;

[0010] The electric vehicle power supply cost It is composed of all electric vehicle power supply incentives, and its expression is , where is the number of electric vehicles, Number of power supply points for electric vehicles;

[0011] The power supply cost of the wind turbine It is composed of the power supply compensation of all wind turbines, and its expression is , where is the number of wind turbine generator sets, Power supply compensation for wind turbines, Power supply time for wind turbines, The electricity price coefficient for wind turbines, To contribute to the wind;

[0012] The power supply cost of the photovoltaic generator set It is composed of the power supply compensation of all photovoltaic generators, and its expression is: , where is the number of photovoltaic generator sets, Provide power supply compensation for photovoltaic generators, Power supply time for photovoltaic generators, The electricity price coefficient for photovoltaic generator sets, Producing power for photovoltaics;

[0013] The repair team dispatch cost It is composed of the dispatching costs of all repair teams of all nodes, and its expression is: , where is the total number of nodes in the distribution network system, is the total number of emergency repair teams, is the distance coefficient, which converts the dispatch distance into dispatch cost. is a decision variable, indicating whether the repair team moves from node to node. is the distance between nodes;

[0014] The load loss cost It is quantified as the total economic loss caused by the load loss of each node in the post-disaster recovery phase of the distribution network, and its expression is: , where To repair and restore all time periods, is the electricity price coefficient, which converts the load loss power into the load loss cost. Is the node state variable, indicating the node exist The state of the moment, For nodes exist The amount of load loss at a moment.

[0015] As a preferred solution, the electric vehicle constraints include:

[0016] After completing the power supply task, the electric vehicle owner still has enough electricity to meet travel needs, that is, ,in, For electric vehicles Arrival at the power supply point When its own capacity, For electric vehicles Leave the power supply point When its own capacity;

[0017] The output power of the electric vehicle does not exceed the capacity limit of the power supply point, that is , where For electric vehicles Time access point The maximum output active power, For electric vehicles Time access point Power coefficient;

[0018] During the emergency power supply process, electric vehicles should meet the time and space constraints, which are expressed as follows: , where For electric vehicles exist Whether the power supply point is reached at the moment , For electric vehicles exist Whether to leave the power supply point at all times ;

[0019] The time when electric vehicles participate in emergency power supply should meet the continuity constraint, which is expressed as , where is the decision variable, representing electric vehicles Whether the node Go to Node , The repair time for electric vehicles is extremely short. Arrival node for electric vehicles time, For electric vehicles at the node Time spent on repairs, For electric vehicles By node Go to Node Time spent.

[0020] As a preferred solution:

[0021] The renewable energy power supply constraints include wind turbine constraints and photovoltaic unit constraints;

[0022] The wind turbine constraints include wind output characteristic constraints, namely 、 、 、 ,in, To contribute to the wind power, is the air density, is the swept area of ​​the wind turbine rotor, is the hourly wind speed, is the wind energy utilization coefficient, is the calculation parameter, is the pitch angle of the wind turbine generator set, is the tip speed ratio of the wind turbine, is the rotor speed of the wind turbine generator set, is the rotor radius, is the transmission ratio of the wind turbine generator set;

[0023] The wind turbine constraints also include wind speed constraints, namely ,in, is the wind turbine cut-in wind speed, Cut-out wind speed for wind turbines, The wind speed at which the wind turbine generator reaches its maximum output. is the maximum output power of the wind turbine;

[0024] The wind turbine constraints also include upper and lower limit constraints on wind output, namely ,in, is the total number of wind turbines;

[0025] The photovoltaic unit constraints include photovoltaic output characteristic constraints, namely 、 、 ,in, is the output power of the photovoltaic generator set per hour, is the solar radiation intensity, is the solar radiation intensity under standard test conditions, is the performance coefficient of the solar panel, is the power thermal coefficient, is the reference temperature under standard test conditions, is the panel temperature, 、 、 、 All are battery parameters;

[0026] The photovoltaic unit constraints also include photovoltaic output upper and lower limit constraints, that is, ,in is the total number of photovoltaic units.

[0027] As a preferred solution, the repair team operation constraints include:

[0028] In order to ensure the independence of the repair teams in the allocation of repair tasks, each fault point is handled by only one team, i.e. ,in Indicates whether the node is repaired by the emergency repair team Select;

[0029] Repair team The movement path between the fault points satisfies the flow conservation, that is, 、 ;

[0030] The time for the emergency repair team to participate in the emergency power supply repair meets the continuity constraint, that is, ,in, For the repair team, the repair time is extremely short. For the repair team Arrival Node time, For the repair team At the node Time spent on repairs, For the repair team For the node To Node Time spent;

[0031] The emergency repair team needs to complete the emergency repair dispatch of all fault points in the distribution network, that is, , is the total number of distribution network fault points after the typhoon disaster.

[0032] As a preferred solution, the power flow constraint includes:

[0033] The operation of the distribution network needs to consider the power balance of each node itself, that is, 、 ,in, and For nodes exist The active power and reactive power input at any moment, and For nodes exist The active power and reactive power of the power supply at all times, and For nodes exist Active load loss power and reactive load loss power at the moment, and node exist Active load and reactive load at each moment;

[0034] The transmission line power should meet the upper and lower limit constraints, that is, 、 ,in, and is the upper limit of active power and reactive power of the transmission line;

[0035] The output of each generator set should meet the upper and lower limit constraints, that is, 、 ,in, and For nodes The upper limit of active power output and reactive power output of all units.

[0036] In a second aspect, the present invention provides a distribution network multi-resource emergency repair and restoration system based on V2G pre-dispatching, which is used to implement the distribution network multi-resource emergency repair and restoration method as described in the first aspect.

[0037] In a third aspect, the present invention provides an electronic device, wherein the computer device includes a memory, a processor, and a computer program. When the computer program is executed by the processor, the distribution network multi-resource emergency repair and recovery method as described in the first aspect is implemented.

[0038] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the distribution network multi-resource emergency repair and recovery method as described in the first aspect.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. This invention effectively increases users' willingness to participate in pre-disaster EV dispatch by building a profit model for electric vehicle owners. This model fully considers the economic interests of vehicle owners, thereby incentivizing more owners to actively cooperate with dispatch arrangements before disasters strike.

[0041] 2. This paper establishes a multi-resource collaborative post-disaster repair and recovery model that integrates key resources such as wind turbines, photovoltaic generators, and repair teams. In setting optimization objectives, this paper prioritizes minimizing the comprehensive repair and recovery costs of the distribution network, taking into account the temporal and spatial constraints of electric vehicles, the output characteristics of wind and solar generators, the operational constraints of the repair team, and the power flow constraints of the power grid.

[0042] 3. During the solution process, the present invention uses the Gurobi commercial solver to efficiently solve the model, ultimately forming an optimal emergency repair and restoration plan. This plan not only takes into account the rational allocation of resources, but also ensures the orderly progress of the emergency repair work.

[0043] 4. This invention significantly reduces the scale of post-disaster load loss in the distribution network by coordinating the charging and discharging behavior of electric vehicles with the output of distributed renewable power sources. This innovation not only improves the distribution network's disaster resilience but also provides strong support for post-disaster power restoration.

[0044] Further or more detailed beneficial effects will be described in conjunction with specific examples in the specific implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 It is a flow chart of the distribution network multi-resource emergency repair and restoration method according to an embodiment of the present invention.

[0047] Figure 2 This is a diagram of the XY city system failure described in Example 1 of the present invention.

[0048] Figure 3 This is the wind speed detection diagram described in Example 1 of the present invention.

[0049] Figure 4 This is the solar radiation intensity monitoring diagram described in Example 1 of the present invention.

[0050] Figure 5 This is the temperature monitoring diagram described in Example 1 of the present invention.

[0051] Figure 6 This is a diagram of the electric vehicle pre-scheduling result according to the first embodiment of the present invention.

[0052] Figure 7 This is a diagram showing the output of various resources according to the first embodiment of the present invention.

[0053] Figure 8 This is a diagram of the repair team scheduling result described in Example 1 of the present invention.

[0054] Figure 9 4 is a structural diagram of an electronic device according to an embodiment of the present invention.

[0055] Figure Number:

[0056] 900. Electronic equipment;

[0057] 901. Processor; 902. Communication bus; 903. User interface; 904. Network interface; 905. Memory. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0059] In the following description, multiple embodiments of the present invention are provided. Different embodiments may be replaced or combined, and therefore the present invention may be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present invention should also be considered to include embodiments that include one or more of all other possible combinations of A, B, C, and D, even if such embodiments may not be explicitly described in the following text.

[0060] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present invention. Various examples may appropriately omit, replace, or add various processes or components. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted, or combined. Furthermore, features described in some examples may be combined in other examples.

[0061] In order to facilitate a better understanding of the embodiments of the present invention, before explaining the specific implementation methods of the present invention in detail, its application scenarios are first described.

[0062] The distribution network multi-resource emergency repair and recovery method described in the embodiments of this specification is applied to the emergency repair process of distribution network failures caused by natural disasters (such as typhoons, rainstorms, earthquakes, etc.). In these scenarios, the application of the distribution network multi-resource emergency repair and recovery method is intended to quickly restore power supply, optimize resource utilization, and enhance response capabilities.

[0063] Example 1:

[0064] This embodiment provides a multi-resource repair and restoration method for distribution network based on V2G pre-dispatching. Figures 1 to 8 Introduction, the specific steps are as follows:

[0065] Step S1: Obtain distribution network information and fault line information, including at least obtaining the distribution network grid structure, the load of each node in the distribution network, the location information of the fault line, the travel time of the traffic line at each node in the distribution network, the electric vehicle power supply port, and the starting point of the emergency repair team. This embodiment is applied to the IEEE 33-node distribution system, which has a total of 13 fault nodes, 3 V2G power supply ports and 1 starting point for the emergency repair team. Among them, the 13 distribution network fault points are shown in Table 1, V2G power supply ports 1-3 are located at nodes 13, 19 and 30 respectively, the wind turbine is located at node 33, the photovoltaic generator is located at node 21, the starting point of the emergency repair team is at node 32, and the fault situation of the XY city system is shown in the figure below. Figure 2 As shown in the wind speed detection diagram, Figure 3 As shown in the figure, the solar radiation intensity monitoring diagram is as follows Figure 4 As shown in the temperature monitoring diagram, Figure 5 The travel time of traffic lines at each node of the distribution network is shown in Table 2.

[0066] Table 1:

[0067]

[0068] Table 2:

[0069]

[0070] Step S2: Construct an electric vehicle owner benefit model to enhance user participation willingness and complete the pre-dispatch of electric vehicles before the disaster occurs. The electric vehicle owner benefit model is:

[0071]

[0072] in, Incentives for electric vehicle power supply, is the profit coefficient, , converting the power supplied by electric vehicles into power supply income, is the time that the electric vehicle stays at the power supply point, Charging power for electric vehicles, , Compensation for electric vehicle tolls.

[0073] Step S3: Establish a post-disaster multi-resource collaborative repair and recovery model, integrating wind turbines, photovoltaic generators, and repair team resources. Minimizing the comprehensive repair and recovery cost of the distribution network is the optimization goal. The spatiotemporal constraints of electric vehicles, new energy power supply constraints, repair team operation constraints, and power flow constraints are coordinated, and the model is solved using the Gurobi commercial solver.

[0074] The post-disaster multi-resource collaborative repair and recovery model described in step S3 is as follows:

[0075] Step S3.1: The objective function is to minimize the comprehensive repair and restoration cost of the distribution network after a disaster. The specific expression is:

[0076]

[0077] in, Comprehensive repair and restoration costs for distribution networks, The cost of powering electric vehicles, The cost of renewable energy power supply is and composition, The cost of powering a wind turbine, The cost of powering a photovoltaic generator set, To reduce the cost of dispatching the repair team, The loss of load cost.

[0078] (1) The cost of electric vehicle power supply is composed of all electric vehicle power supply incentives:

[0079]

[0080] in, is the number of electric vehicles, , Number of power supply points for electric vehicles, .

[0081] (2) The power supply cost of wind turbines is composed of the power supply compensation of all wind turbines:

[0082]

[0083] in, is the number of wind turbine generator sets, , Power supply compensation for wind turbines, Power supply time for wind turbines, , The electricity price coefficient for wind turbines, , Contribute to wind power.

[0084] (3) The power supply cost of photovoltaic generator sets is composed of the power supply compensation of all photovoltaic generator sets:

[0085]

[0086] in, is the number of photovoltaic generator sets, , Provide power supply compensation for photovoltaic generators, Power supply time for photovoltaic generators, , The electricity price coefficient for photovoltaic generator sets, , Producing power for photovoltaics.

[0087] (4) The dispatch cost of the repair team is:

[0088]

[0089] in, For all nodes in the system, , is the total number of emergency repair teams, , is the distance coefficient, which converts the dispatch distance into dispatch cost. , is a decision variable, indicating whether the repair team moves from node to node. is the distance between nodes.

[0090] (5) The load loss cost during the post-disaster recovery phase of the distribution network can be quantified as the sum of the economic losses caused by the load loss at each node:

[0091]

[0092] in, To repair and restore all time periods, is the electricity price coefficient, which converts the load loss power into the load loss cost. , Is the node state variable, indicating the node exist The state of the moment, For nodes exist The amount of load loss at a moment.

[0093] Step S3.2: The electric vehicle constraints that need to be met in the post-disaster multi-resource collaborative repair and recovery model are:

[0094] (1) When electric vehicles participate in the dispatch of power supply restoration in the distribution network, it is necessary to ensure that electric vehicle owners can still retain sufficient power to meet travel needs after completing the power supply task:

[0095]

[0096] in, For electric vehicles Arrival at the power supply point When its own capacity, For electric vehicles Leave the power supply point When its own capacity.

[0097] (2) The output power of electric vehicles should not exceed the capacity limit of the power supply point:

[0098]

[0099] in, For electric vehicles Time access point The maximum output active power, For electric vehicles Time access point The power coefficient.

[0100] (3) During the emergency power supply repair process, electric vehicles should meet the time and space constraints:

[0101]

[0102] in, For electric vehicles exist Whether the power supply point is reached at the moment , For electric vehicles exist Whether to leave the power supply point at all times .

[0103] (4) The time when electric vehicles participate in emergency power supply should meet the continuity constraint:

[0104]

[0105] in, is the decision variable, representing electric vehicles Whether the node Go to Node , The repair time for electric vehicles is extremely short. , Arrival node for electric vehicles time, For electric vehicles at the node Time spent on repairs, For electric vehicles By node Go to Node Time spent.

[0106] Step S3.3: The wind turbine constraints that need to be met in the post-disaster multi-resource collaborative repair and restoration model are:

[0107] (1) Wind power output:

[0108]

[0109]

[0110]

[0111]

[0112] in: To contribute to the wind; is the air density, , is the swept area of ​​the wind turbine rotor, , is the hourly wind speed, is the wind energy utilization coefficient, is the calculation parameter, is the pitch angle of the wind turbine generator set, , is the tip speed ratio of the wind turbine, is the rotor speed of the wind turbine generator set, is the rotor radius, , is the transmission ratio of the wind turbine generator set, .

[0113] (2) The output of wind turbines should meet the wind speed constraints:

[0114]

[0115] in: is the wind turbine cut-in wind speed, , Cut-out wind speed for wind turbines, , The wind speed at which the wind turbine generator reaches its maximum output. is the maximum output power of the wind turbine generator set, .

[0116] (3) Wind turbines must meet the following output limits:

[0117]

[0118] Step S3.4: The constraints of the photovoltaic generators that need to be met in the post-disaster multi-resource collaborative repair and restoration model are:

[0119] (1) Output of photovoltaic generator set:

[0120]

[0121]

[0122]

[0123] in: is the output power of the photovoltaic generator set per hour, is the solar radiation intensity, is the solar radiation intensity under standard test conditions, , is the performance coefficient of the solar panel, is the power thermal coefficient, , is the reference temperature under standard test conditions, , is the panel temperature, 、 、 、 All are battery parameters , , , .

[0124] (2) The output of photovoltaic power generation units shall meet the upper and lower output limits:

[0125]

[0126] in: is the upper limit of the output of photovoltaic generator sets, .

[0127] Step S3.5: The post-disaster multi-resource collaborative repair and recovery model needs to meet the following repair team constraints:

[0128] (1) In the allocation of emergency repair tasks, in order to ensure the independence of the emergency repair teams, it is necessary to ensure that each fault point is handled by only one team:

[0129]

[0130] in, Indicates whether the node is selected by the emergency repair team.

[0131] (2) The movement path of the repair team between fault points must satisfy the flow conservation principle:

[0132]

[0133]

[0134] (3) The time that the emergency repair team participates in the emergency power supply repair should meet the continuity constraint:

[0135]

[0136] in, For the repair team, the repair time is extremely short. , For the repair team Arrival Node time, For the repair team At the node Time spent on repairs, For the repair team For the node To Node Time spent.

[0137] (4) The emergency repair team needs to complete the emergency repair dispatch of all fault points in the distribution network:

[0138]

[0139] in, is the total number of distribution network fault points after the typhoon disaster.

[0140] Step S3.6: The power flow constraints that need to be met by the post-disaster multi-resource collaborative repair and restoration model are:

[0141] (1) The operation of the distribution network needs to consider the power balance of each node:

[0142]

[0143]

[0144] in, and For nodes exist The active power and reactive power input at any moment, and For nodes exist The active power and reactive power of the power supply at all times, and For nodes exist Active load loss power and reactive load loss power at the moment, and node exist Active load and reactive load at the moment.

[0145] (2) The transmission line power should meet the upper and lower limit constraints:

[0146]

[0147]

[0148] in, and are the upper limit of active power and reactive power of the transmission line.

[0149] (3) The output of each generator set should meet the upper and lower limit constraints:

[0150]

[0151]

[0152] in, and For nodes The upper limit of active power output and reactive power output of all units.

[0153] Step S3.7: Use Gurobi solver to solve the linearized model and output the optimal solution for distribution network repair and restoration. Figure 6 As shown in the figure, the output of various resources is as follows Figure 7 As shown in the figure, the repair team dispatch results are as follows Figure 8 shown.

[0154] Based on the above, this embodiment verifies the effectiveness of the distribution network multi-resource emergency repair and restoration method based on V2G pre-dispatching in this specification.

[0155] Example 2:

[0156] This embodiment provides a distribution network multi-resource emergency repair and restoration system based on V2G pre-dispatching, which is used to implement the distribution network multi-resource emergency repair and restoration method as described in the first embodiment.

[0157] Example 3:

[0158] like Figure 9 As shown, this embodiment provides an electronic device, which may include: at least one processor, at least one network interface, a user interface, a memory, and at least one communication bus.

[0159] The communication bus can be used to realize the connection and communication among the above components.

[0160] The user interface may include buttons, and the optional user interface may also include a standard wired interface or a wireless interface.

[0161] The network interface may include, but is not limited to, a Bluetooth module, an NFC module, a Wi-Fi module, and the like.

[0162] Among them, the processor may include one or more processing cores. The processor uses various interfaces and lines to connect the various parts of the entire electronic device, and performs various functions of the electronic device and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory. Optionally, the processor can be implemented in at least one hardware form of DSP, FPGA, PLA. The processor can integrate one or a combination of CPU, GPU and modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to handle wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a chip.

[0163] The memory may include RAM or ROM. Optionally, the memory may include non-transitory computer-readable media. The memory may be used to store instructions, programs, codes, code sets, or instruction sets. The memory may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the aforementioned method embodiments, etc.; the data storage area may store data related to the aforementioned method embodiments, etc. The memory may optionally be at least one storage device located remotely from the aforementioned processor. The memory, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an emergency repair and recovery application. The processor may be configured to invoke the emergency repair and recovery application stored in the memory and execute the emergency repair and recovery steps mentioned in the aforementioned embodiments.

[0164] Example 4:

[0165] This embodiment provides a computer-readable storage medium having instructions stored therein, which, when executed on a computer or processor, causes the computer or processor to execute the above-mentioned Figure 1 If the components of the electronic device are implemented in the form of software functional units and sold or used as independent products, they can be stored in the computer-readable storage medium.

[0166] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of 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 specification 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 via 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, optical fiber, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state drive (SSD)).

[0167] Those skilled in the art will appreciate that all or part of the process steps in the method of the first embodiment described above can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When executed, the program 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 ROM, RAM, magnetic disks, or optical disks. The technical features of this embodiment and the implementation scheme can be combined in any manner unless they conflict.

[0168] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should be aware that the present invention is not limited by the order of the actions described, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0169] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0170] The foregoing is merely an exemplary embodiment of the present invention and is not intended to limit the scope of the present invention. That is, any equivalent changes and modifications made in accordance with the teachings of the present invention are still within the scope of the present invention. A person skilled in the art will readily come up with the embodiments of the present invention after considering the specification and practicing the disclosure herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary technical means in the art that are not described in the present invention. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present invention are defined by the claims.

Claims

1. A multi-resource repair and restoration method for distribution network based on V2G pre-dispatching, characterized in that: Including steps: S1. Obtain distribution network information and fault line information, including distribution network grid structure, load at each node of the distribution network, fault line location information, traffic travel time between distribution network nodes, electric vehicle power supply port location information, wind turbine generator parameters, photovoltaic generator parameters, and repair team departure point information; S2. Constructing an electric vehicle owner profit model and completing electric vehicle pre-dispatching based on the model. The dispatchable parameters of the electric vehicle owner profit model include power supply incentives, power supply profit coefficients, stay time, charging power, and toll compensation. The expression of the electric vehicle owner profit model is: ， Where, For electric vehicles Power supply incentive, As the profit coefficient, electric vehicles The supplied power is converted into power supply income. For electric vehicles At the power supply point The duration of stay, For electric vehicles The charging power, For electric vehicles Compensation for travel expenses; S3. Construct a post-disaster multi-resource collaborative repair and restoration model and input the dispatchable parameters. Minimize the comprehensive repair and restoration cost of the distribution network as the optimization goal. Combined with electric vehicle constraints, new energy power supply constraints, repair team operation constraints, and power flow constraints, use the Gurobi commercial solver to solve the post-disaster multi-resource collaborative repair and restoration model to output the optimal fault recovery solution. The electric vehicle constraints include: Electric vehicle owners still have enough power to meet their travel needs after completing their power supply tasks; The output power of the electric vehicle does not exceed the capacity limit of the power supply point; The space-time constraint is expressed as ， Where, For electric vehicles exist Whether the power supply point is reached at the moment , For electric vehicles exist Whether to leave the power supply point at all times ; The continuity constraint is expressed as ， Where, is the decision variable, representing electric vehicles Whether the node Go to Node , The repair time for electric vehicles is extremely short. Arrival node for electric vehicles time, For electric vehicles at the node Time spent on repairs, For electric vehicles By node Go to Node Time spent.

2. A distribution network multi-resource emergency repair and restoration method based on V2G pre-dispatching according to claim 1, characterized in that: The comprehensive repair and restoration cost of the distribution network includes the electric vehicle power supply cost, the new energy power supply cost, the repair team dispatch cost and the load loss cost; The renewable energy power supply cost includes the power supply cost of wind turbines and photovoltaic generators; The electric vehicle power supply cost is composed of all electric vehicle power supply incentives; The power supply cost of the wind turbine generator set is composed of the power supply compensation of all wind turbine generator sets; The power supply cost of the photovoltaic generator set is composed of the power supply compensation of all photovoltaic generator sets; The repair team scheduling cost is composed of all repair team scheduling costs of all nodes; The load loss cost is quantified as the total economic loss caused by the load loss of each node in the distribution network post-disaster recovery phase.

3. The method for repairing and restoring a distribution network with multiple resources based on V2G pre-dispatching according to claim 2, characterized in that: The renewable energy power supply constraints include wind turbine constraints and photovoltaic unit constraints; The wind turbine constraints include wind output characteristic constraints, wind speed constraints, and wind output upper and lower limit constraints; The photovoltaic group constraints include photovoltaic output characteristic constraints and photovoltaic output upper and lower limit constraints.

4. A distribution network multi-resource emergency repair and restoration method based on V2G pre-dispatching according to claim 3, characterized in that: The repair team operation constraints include: To ensure the independence of the repair teams during the allocation of repair tasks, each fault point is handled by only one team; The movement path of the repair team between fault points satisfies the flow conservation principle; The time that the emergency repair team participates in the emergency power supply repair meets the continuity constraint; The emergency repair team needs to complete the emergency repair dispatch of all fault points in the distribution network.

5. A distribution network multi-resource emergency repair and restoration method based on V2G pre-dispatching according to claim 4, characterized in that: The power flow constraints include: The operation of the distribution network needs to consider the power balance of each node; The transmission line power should meet the upper and lower limit constraints; The output of each generator set should meet the upper and lower limit constraints.

6. A distribution network multi-resource emergency repair and restoration system based on V2G pre-dispatching, characterized in that: Used to implement the distribution network multi-resource emergency repair and recovery method as described in any one of claims 1 to 5.

7. A computer device comprising a memory, a processor, and a computer program, wherein: When the computer program is executed by a processor, the distribution network multi-resource emergency repair and restoration method according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the distribution network multi-resource emergency repair and restoration method according to any one of claims 1 to 5 is implemented.

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