Power distribution network restoration method and apparatus, and device, storage medium and program product

Abstract

The present application relates to a power distribution network restoration method and apparatus, and a device, a storage medium and a program product. The method comprises: by taking a target restoration amount that corresponds to a power distribution network to be restored in a preset restoration period being maximized as an objective, constructing an objective function for restoring said power distribution network; acquiring a constraint condition for constraining said power distribution network, wherein the constraint condition comprises a resource scheduling constraint condition for constraining the scheduling of power restoration resources, and a power distribution network constraint condition for constraining said power distribution network; on the basis of the objective function and the constraint condition, determining a scheduling policy for the power restoration resources; and on the basis of the scheduling policy, restoring power to said power distribution network. By using the method, the restoration effect of a power distribution network can be improved.

Description

Distribution network restoration method, device, equipment, storage medium and program product

[0001] This application claims priority to the Chinese patent application filed on December 27, 2023, with application number CN202311816340.7 and title “Distribution Network Restoration Method, Device, Equipment, Storage Medium and Program Product,” the entire text of which is hereby incorporated by reference. Technical Field

[0002] The present application relates to the field of electric power grid technology, and in particular to a distribution network restoration method, apparatus, device, storage medium, and program product. Background Art

[0003] In power systems, distribution networks receive electricity from transmission networks and distribute it to various loads. However, natural disasters can damage distribution network equipment, disrupting the normal power supply of the power system and posing significant challenges to grid operations. A sound distribution network restoration strategy is key to quickly restoring power after a disaster and minimizing losses from power outages.

[0004] However, traditional technologies usually only consider the operating parameters of the distribution network when determining the distribution network restoration strategy. The determined grid restoration strategy is generally only suitable for ideal conditions and does not match the actual situation of the distribution network.

[0005] Summary of the Invention

[0006] Based on this, it is necessary to provide a distribution network restoration method, device, equipment, storage medium and program product that can improve the distribution network restoration effect in response to the above technical problems.

[0007] In a first aspect, the present application provides a distribution network restoration method, comprising:

[0008] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0009] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0010] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0011] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0012] In one embodiment, the resource scheduling constraint conditions for constraining the scheduling of power restoration resources include:

[0013] Drainage resource scheduling constraints that constrain drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraints that constrain energy storage resources corresponding to the distribution network to be restored.

[0014] In one embodiment, the drainage resource scheduling constraint condition includes: a first constraint condition constraining the scheduling route of the drainage resource between different distribution network nodes, and a second constraint condition constraining the drainage volume of the drainage resource provided by the drainage service at different distribution network nodes;

[0015] The energy storage resource scheduling constraint condition includes a third constraint condition that constrains the scheduling route of energy storage resources between different distribution network nodes.

[0016] In one embodiment, the distribution network constraint condition includes: a first time constraint that constrains the drainage time of the drainage resource providing the drainage service; and / or a second time constraint that constrains the travel time of the energy storage resource providing the energy storage service.

[0017] In one embodiment, constructing an objective function for restoring the power distribution network to be restored includes:

[0018] Determine the duration of each recovery period within the preset recovery cycle;

[0019] Obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period; the power supply restoration status is related to the drainage status and energy storage status of the corresponding distribution network node;

[0020] Taking the duration of each restoration period as the first variable and the power supply restoration status as the second variable, an objective function for restoring the distribution network to be restored is constructed.

[0021] In one embodiment, the duration of each restoration period is used as a first variable, and the power restoration status is used as a second variable to construct an objective function for restoring the distribution network to be restored, including:

[0022] Obtaining the importance of each power load and using the importance of each power load as a third variable;

[0023] An objective function for restoring the distribution network to be restored is constructed according to the first variable, the second variable and the third variable.

[0024] In a second aspect, the present application further provides a distribution network restoration device, comprising:

[0025] An objective function construction module is used to construct an objective function for restoring the distribution network to be restored, with the maximum target restoration amount corresponding to the distribution network to be restored within a preset restoration period as the goal;

[0026] A constraint condition determination module is used to obtain constraint conditions for the distribution network to be restored; the constraint conditions include resource scheduling constraint conditions for constraining the scheduling of power restoration resources and distribution network constraint conditions for constraining the distribution network to be restored;

[0027] A scheduling strategy determination module is used to determine the scheduling strategy for power restoration resources based on the objective function and constraints;

[0028] The power restoration module is used to restore power to the distribution network to be restored according to the scheduling strategy.

[0029] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0030] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0031] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0032] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0033] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0035] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0036] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0037] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0038] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0039] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0040] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0041] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0042] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0043] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0044] The above-mentioned distribution network restoration method, apparatus, equipment, storage medium, and program product are constructed with the objective function being based on maximizing the target restoration amount corresponding to the distribution network to be restored within a preset restoration period. Furthermore, the constraints constraining the distribution network to be restored take into account the resource scheduling constraints constraining the scheduling of power restoration resources, as well as the distribution network constraints constraining the distribution network to be restored. Therefore, when solving the objective function based on the constraints, the resulting scheduling strategy can ensure that the target restoration amount is maximized within the constraints. Therefore, this scheduling strategy is more compatible with the actual conditions of the distribution network. That is, performing grid restoration on the distribution network to be restored based on this scheduling strategy can improve the effectiveness of distribution network restoration. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0046] FIG1 is an application environment diagram of a distribution network restoration method provided by this embodiment;

[0047] FIG2 is a schematic flow chart of a distribution network restoration method provided by this embodiment;

[0048] FIG3 is a schematic diagram of a process for constructing an objective function provided by this embodiment;

[0049] FIG4 is a flow chart of another method for restoring a power distribution network provided in this embodiment;

[0050] FIG5 is a structural block diagram of a distribution network restoration device provided in this embodiment;

[0051] FIG6 is a diagram showing the internal structure of a computer device provided in this embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0053] The distribution network restoration method provided in the embodiment of the present application can be applied in the application environment shown in Figure 1. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Specifically, the server 104 can construct an objective function for restoring the distribution network to be restored with the maximum target recovery amount corresponding to the distribution network to be restored within the preset recovery period as the goal. The server 104 can obtain the constraint conditions for constraining the distribution network to be restored through the terminal 102; further, the server 104 can determine the scheduling strategy for power restoration resources based on the objective function and the constraint conditions, and thus restore power to the distribution network to be restored according to the scheduling strategy. At the same time, the server 104 can display the scheduling strategy through the terminal 102.

[0054] Terminal 102 may include, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices may include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. Server 104 may be implemented as a standalone server or a server cluster consisting of multiple servers.

[0055] In one embodiment, as shown in FIG2 , a method for restoring a power distribution network is provided. The method is described by taking the application of the method to the server 104 in FIG1 as an example, and includes the following steps.

[0056] S201 , constructing an objective function for restoring the distribution network to be restored with the goal of maximizing the target restoration amount corresponding to the distribution network to be restored within a preset restoration period.

[0057] The distribution network to be restored is the distribution network experiencing a power failure. The preset restoration period is a pre-set ideal restoration period for the distribution network to be restored. The target restoration amount represents the power consumption of all corresponding loads from the distribution network to be restored. It is understood that a larger target restoration amount indicates a better restoration effect for the distribution network to be restored, and a lower target restoration effect indicates a worse restoration effect.

[0058] Optionally, in this embodiment, all parameters affecting the target recovery amount in the distribution network to be restored can be input into a pre-trained objective function construction model. The objective function construction model processes the received data and outputs an objective function. This objective function can be used to determine the strategy for restoring power to the distribution network to be restored. Alternatively, the parameters affecting the target recovery amount can be organized according to a pre-determined objective function determination strategy to complete the construction of the objective function.

[0059] It should be noted that the objective function construction model can be constructed based on a common neural network, which will not be described in detail here. Furthermore, the objective function construction model can be trained by inputting predetermined sample parameters and the objective function labels corresponding to the sample parameters into the objective function construction model, and performing supervised training on the objective function construction model, thereby improving the accuracy of the objective function output by the objective function construction model. The specific process of training the objective function construction model is a common technical means of model training and will not be described in detail here.

[0060] S202: Obtain constraint conditions for the power distribution network to be restored.

[0061] The constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored. Power restoration resources can be human or material resources used to restore the distribution network to be restored. For example, they can be human maintenance resources used to repair equipment on the distribution network to be restored, or physical maintenance resources used to repair equipment on the distribution network to be restored, without limitation.

[0062] Optionally, both the resource scheduling constraints and the distribution network constraints can be pre-determined and stored in corresponding databases. After the objective function is constructed, the resource scheduling constraints and the distribution network constraints can be directly extracted from the corresponding databases. Alternatively, after detecting that the objective function has been constructed, the server issues a constraint acquisition request to instruct the user to upload the constraints for the distribution network to be restored via a terminal device.

[0063] S203: Determine a scheduling strategy for power restoration resources based on the objective function and constraints.

[0064] Optionally, in this embodiment, the objective function and constraints can be input into a pre-trained objective function solving model. The objective function solving model processes the received data and outputs a solution to the objective function. In this embodiment, the solution to the objective function is used as the scheduling strategy for power restoration resources. Alternatively, the objective function and constraints can be input into an intelligent solver, which can then solve for the objective function under the constraints and use the solution to the objective function as the scheduling strategy for power restoration resources.

[0065] It should be noted that the construction of the objective function solution model can be based on a common neural network, which will not be described in detail here. Furthermore, the objective function solution model can be trained by inputting a plurality of predetermined groups of samples (one group of samples includes objective function samples and constraint condition samples), and the solutions corresponding to each group of samples into the objective function construction model, and performing supervised training on the objective function solution model, thereby improving the accuracy of the solution of the objective function output by the objective function solution model. The specific process of training the objective function solution model is a common technical means of model training and will not be described in detail here.

[0066] S204: Restore power to the distribution network to be restored according to the dispatching strategy.

[0067] Optionally, in this embodiment, the dispatching strategy can be directly used as a restoration strategy for power restoration of the distribution network to be restored, and power restoration of the distribution network to be restored can be performed based on the restoration strategy. Alternatively, the dispatching strategy can be output to a user terminal, and the user can be prompted to restore power to the distribution network to be restored based on the dispatching strategy.

[0068] In the above-mentioned distribution network restoration method, since the objective function is constructed with the goal of maximizing the target restoration amount corresponding to the distribution network to be restored within a preset restoration period, and the constraints on the distribution network to be restored take into account the resource scheduling constraints that constrain the scheduling of power restoration resources and the distribution network constraints that constrain the distribution network to be restored, when solving the objective function according to the constraints, the resulting scheduling strategy can ensure that the target restoration amount is maximized within the constraints. Therefore, this scheduling strategy is more consistent with the actual situation of the distribution network, that is, performing grid restoration on the distribution network to be restored according to this scheduling strategy can improve the distribution network restoration effect.

[0069] Furthermore, in order to better constrain the scheduling of power restoration resources, the resource scheduling constraints are enriched, and the restoration effect of the scheduling strategy on the distribution network to be restored is further improved. In one embodiment, the resource scheduling constraints that constrain the scheduling of power restoration resources include: drainage resource scheduling constraints that constrain the drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraints that constrain the energy storage resources corresponding to the distribution network to be restored. Among them, the drainage resource scheduling constraints are used to constrain drainage resources. Exemplarily, drainage resources can be material resources used for drainage, or human resources used to perform drainage tasks, such as drainage staff. Accordingly, the drainage resource scheduling constraints are conditions that constrain drainage resources.

[0070] Furthermore, in order to enable the drainage resource scheduling constraints to better constrain drainage resources, in one embodiment, the drainage resource scheduling constraints include: a first constraint that constrains the scheduling routes of drainage resources between different distribution network nodes, and a second constraint that constrains the drainage volume of drainage services provided by drainage resources at different distribution network nodes. For example, taking the drainage resources as drainage teams (i.e., drainage staff) as an example, the first constraint may include the following:

[0071] In order to improve drainage efficiency, the drainage team's dispatch route should be one-way. Therefore, there needs to be a condition to constrain the drainage team's dispatch route:

[0072] Where, represents the 0-1 variable of the pth drainage team from the to-be-drained distribution network node i to the to-be-drained distribution network node j, that is, When it is equal to 1, the drainage team has arrived at the distribution network node j from the distribution network node i to be drained; When it is equal to 0, the drainage team has not reached the drainage distribution network node j from the drainage distribution network node i; F is the set of drainage distribution network nodes, B is the set of distribution network nodes; p is any drainage team, the set of drainage teams is denoted as p∈P, the set of drainage team starting points is SP, and the set of drainage team return points is D.

[0073] Since the drainage team will drain all the water from a distribution network node after it arrives at it, the same drainage team will not visit the same distribution network node twice:

[0074] Where, represents the 0-1 variable of the pth drainage team from the to-be-drained distribution network node i to the to-be-drained distribution network node j, that is, When it is equal to 1, the drainage team has arrived at the distribution network node j from the distribution network node i to be drained; When it is equal to 0, the drainage team has not reached the distribution network node j to be drained from the distribution network node i to be drained; p is any drainage team, the set of drainage teams is recorded as p∈P, and i is any distribution network node to be drained.

[0075] After drainage is completed, all drainage teams need to return to the end point. Therefore, a constraint is imposed on all drainage teams to eventually return to the end point:

[0076] Where, A 0-1 variable representing the p-th drainage team from the to-be-drained distribution network node i to the to-be-drained distribution network node j; p is any drainage team, the set of drainage teams is denoted as p∈P, i is any to-be-drained distribution network node, F\D means removing the D set from the F set; F is the set of to-be-drained distribution network nodes; the set of drainage team return points is D.

[0077] Since a drainage team travels from the to-be-drained distribution network node i to the to-be-drained distribution network node j, it means that the drainage team passes through the to-be-drained distribution network node i. Therefore, the route of the drainage team is constrained as follows:

[0078] Where, It means that the pth drainage team passes through the distribution network node i to be drained; p is any drainage team, the set of drainage teams is recorded as p∈P, i is any distribution network node to be drained; SP is the starting point set of the drainage team; F is the set of distribution network nodes to be drained.

[0079] The second constraint can include the following:

[0080] The total drainage capacity of drainage team p at each node of the distribution network to be drained shall not exceed its maximum drainage capacity:

[0081] Where, represents the maximum discharge capacity of the drainage team p; vol i,p It represents the drainage volume of drainage team p at the distribution network node i to be drained; p is any drainage team, and the set of drainage teams is recorded as p∈P.

[0082] If drainage team p has been to the distribution network node i to be drained, the drainage volume of drainage team p at the distribution network node i to be drained shall not be greater than the drainage volume required by the distribution network node i to be drained; if drainage team p has not been to the distribution network node i to be drained, the drainage volume of drainage team p at the distribution network node i to be drained shall be zero:

[0083] Where, vol i,p represents the drainage volume of drainage team p at the node i of the distribution network to be drained; It means that the p-th drainage team passes through the distribution network node i to be drained; is the drainage demand of the distribution network node i to be drained; F is the set of distribution network nodes to be drained.

[0084] The sum of the drainage volume of each drainage team at the node i of the distribution network to be drained should be equal to the drainage volume required by the node i of the distribution network to be drained:

[0085] Where, vol i,p represents the drainage volume of drainage team p at the node i of the distribution network to be drained; is the drainage demand of the distribution network node i to be drained; F is the set of distribution network nodes to be drained.

[0086] Energy storage resources can be physical resources used for power supply, such as energy storage vehicles, or they can be human resources used to perform power supply tasks. Accordingly, energy storage resource scheduling constraints are conditions that constrain energy storage resources. In this embodiment, resource scheduling constraints can be drainage resource scheduling constraints, energy storage resource scheduling constraints, or both drainage resource scheduling constraints and energy storage resource scheduling constraints.

[0087] Energy storage resource scheduling constraints include a third constraint that constrains the scheduling routes of energy storage resources between different distribution network nodes. Taking the energy storage resource as a mobile energy storage vehicle (hereinafter referred to as the energy storage vehicle) as an example, the third constraint may include the following:

[0088] The energy storage vehicle dispatch path is one-way:

[0089] Where, represents the 0-1 variable of the mth energy storage vehicle from the to-be-drained distribution network node i to the to-be-drained distribution network node j; if If it is equal to 0, it means that the mth energy storage vehicle has not reached the drainage distribution network node j from the drainage distribution network node i; if Equal to 1, indicating that the mth energy storage vehicle has arrived at the distribution network node j to be drained from the distribution network node i to be drained; m represents any energy storage vehicle, m∈M; B is the set of distribution network nodes; i and j are any distribution network nodes to be drained.

[0090] Since an energy storage vehicle travels from the distribution network node i to be drained to the distribution network node j, it means that the energy storage vehicle passes through the distribution network node i to be drained. Therefore, the route of the energy storage vehicle is constrained as follows:

[0091] Where, It means that the mth energy storage vehicle passes through the distribution network node i to be drained; m represents any energy storage vehicle, m∈M; B is the set of distribution network nodes; i is any distribution network node to be drained.

[0092] In this embodiment, the drainage resource scheduling constraint condition and the energy storage resource scheduling constraint condition are introduced in detail, so that the two constraints on the scheduling of power restoration resources are more comprehensive.

[0093] Furthermore, in order to make the distribution network constraints more comprehensive and further improve the restoration effect of the dispatching strategy on the distribution network to be restored, in one embodiment, the distribution network constraints include: a first time constraint that constrains the drainage time of the drainage resource providing drainage services; and / or a second time constraint that constrains the travel time of the energy storage resource providing energy storage services. The drainage time can be the time it takes for the drainage team to provide drainage services. The travel time can be the time it takes for the energy storage vehicle to travel from one distribution network node to be drained to another distribution network node to be drained.

[0094] Exemplarily, the first time constraint may include the following:

[0095] Where, is the time consumed by drainage team p to drain at the node i of the distribution network to be drained, Q p is the drainage speed of the drainage team (unit: m 3 / s); p is any drainage team, and the set of drainage teams is denoted as p∈P; F is the set of distribution network nodes to be drained.

[0096] The time when each drainage team p arrives at the distribution network node i to be drained is recorded as If the node i of the distribution network to be drained is the first destination reached by the drainage team p, there should be:

[0097] Where, is the travel time of the drainage team p from the starting point i to the distribution network node j to be drained, m represents any energy storage vehicle, m∈M, M is a sufficiently large number; represents the 0-1 variable of the pth drainage team from the to-be-drained distribution network node i to the to-be-drained distribution network node j, that is, When it is equal to 1, the drainage team has arrived at the distribution network node j from the distribution network node i to be drained; When it is equal to 0, the drainage team has not reached the distribution network node j to be drained from the distribution network node i to be drained; p is any drainage team, and the set of drainage teams is recorded as p∈P; F is the set of distribution network nodes to be drained.

[0098] The drainage team's start time for draining the distribution network node to be drained should not be earlier than the time when the drainage team arrives at the distribution network node to be drained:

[0099] Where, is the time when the drainage team p arrives at the distribution network node i to be drained and starts draining; p is any drainage team, and the set of drainage teams is denoted as p∈P; F is the set of distribution network nodes to be drained; It is the time from drainage team p to the distribution network node i to be drained.

[0100] Only when all drainage teams have completed their tasks can the accumulated water at the distribution network node i be drained:

[0101] Where, d i,t is a 0-1 variable indicating whether the accumulated water at the distribution network node i to be drained is completely drained at time t, d i,t =1 means that the water at the node i of the distribution network to be drained is drained at time t; d i,t When it is equal to 0, it means that the accumulated water at the node i of the distribution network to be drained has not been drained at time t; is the time consumed by drainage team p to drain water at the node i of the distribution network to be drained; It is the moment when the drainage team p arrives at the distribution network node i to be drained and starts the drainage work.

[0102] Second time constraints may include the following:

[0103] When drainage team p finishes drainage at the to-be-drained distribution network node i and moves to the next to-be-drained distribution network node j (or the end point, where j∈D), the time it arrives at the to-be-drained distribution network node j should be no less than the sum of the time it starts drainage at the to-be-drained distribution network node i, the time it takes to drain at the to-be-drained distribution network node i, and the travel time from the to-be-drained distribution network node i to the node j:

[0104] Where, The moment when the drainage team p arrives at the distribution network node i to be drained and starts draining; is the time consumed by drainage team p to drain water at the node i of the distribution network to be drained, is the travel time of the drainage team p from the starting point i to the distribution network node j to be drained, m represents any energy storage vehicle, m∈M, M is a sufficiently large number; The time from drainage team p to the distribution network node j to be drained; A 0-1 variable representing the p-th drainage team from the to-be-drained distribution network node i to the to-be-drained distribution network node j; p is any drainage team, and the set of drainage teams is denoted as p∈P; F is the set of to-be-drained distribution network nodes.

[0105] Only when the water in the distribution network node to be drained is drained, the energy storage vehicle can be connected to the corresponding distribution network node to be drained:

[0106] Where, It represents the moment when the mth energy storage vehicle starts to supply power to the distribution network node i to be drained; m represents any energy storage vehicle, m∈M, M is a sufficiently large number; F is the set of distribution network nodes to be drained.

[0107] The energy storage vehicle can only supply power to the target distribution network node after it reaches the target drainage network node:

[0108] Where, A 0-1 variable representing the power supply provided by the m-th energy storage vehicle to the drainage distribution network node i at time t; represents the moment when the mth energy storage vehicle arrives at the distribution network node i to be drained; m represents any energy storage vehicle, m∈M, M is a sufficiently large number; F is the set of distribution network nodes to be drained.

[0109] Furthermore, this embodiment may also include a constraint condition for constraining the power supply after the energy storage vehicle is connected to the distribution network node to be drained:

[0110] Where, Indicates the power supply status of the mth energy storage vehicle at the distribution network node i to be drained at time t. If the mth energy storage vehicle is not at the distribution network node i to be drained, it means that the distribution network node to be drained has no power injection from the mth energy storage vehicle; Refers to the upper limit of the injection power of the energy storage vehicles participating in the dispatch; m represents any energy storage vehicle, m∈M, M is a sufficiently large number; F is the set of distribution network nodes to be drained.

[0111] Furthermore, the following constraints may be included to constrain the operating conditions of the distribution network to be restored:

[0112] Power balance constraints:

[0113] Where p j and q j are the injected active power and injected reactive power of the jth distribution network node to be drained; π(j) and δ(j) are the sets of power inflow and power outflow nodes of the jth distribution network node to be drained; P ij and Q ij are the active power and reactive power transmitted by branch ij respectively; and are respectively the active load and reactive load of the jth distribution network node to be drained; r ij and x ij is the resistance and reactance of branch ij; is the square of the current in branch ij.

[0114] Node voltage upper and lower limit constraints:

[0115] Where V j and are the lower and upper limits of the square voltage of the jth distribution network node to be drained; It is the square of the voltage of the jth distribution network node to be drained.

[0116] Branch current upper and lower limit constraints:

[0117] Where, I ij and are the lower and upper limits of the transmission current of branch ij respectively; E is the set of distribution network branches that does not contain balancing distribution network nodes.

[0118] Voltage constraints at the beginning and end of a branch:

[0119] Where, E is the set of distribution network branches that does not include the balancing distribution network node; p ij and q ij are the active power and reactive power transmitted by branch ij respectively; is the square of the current in branch ij; z ij is the power on branch ij; r ij and x ij is the resistance and reactance of branch ij; is the square of the voltage of the i-th distribution network node to be drained; It is the square of the voltage of the jth distribution network node to be drained.

[0120] Second-order cone constraint:

[0121] Where p ij and q ij are the active power and reactive power transmitted by branch ij respectively; is the square of the voltage of the jth distribution network node to be drained; is the square of the current in branch ij.

[0122] On the basis of the above embodiment, further, in order to enable the dispatching strategy determined based on the objective function to better restore power to the distribution network to be restored, in one embodiment, as shown in FIG3 , an objective function for restoring the distribution network to be restored is constructed, including:

[0123] S301: Determine the duration of each recovery period within a preset recovery cycle.

[0124] Among them, in the process of restoring power to the distribution network to be restored, the entire power restoration process can be divided into multiple restoration periods, each restoration period can have a different duration, and the entire power restoration process is a preset restoration cycle.

[0125] Optionally, in this embodiment, the duration of each recovery period within the preset recovery cycle may be pre-stored in a corresponding database. When there is a need to construct the objective function, the duration of each recovery period within the preset recovery cycle may be obtained from the database. Alternatively, when there is a need to construct the objective function, an instruction may be issued to the user terminal, instructing the user to input the duration of each recovery period within the preset recovery cycle.

[0126] S302: Obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period.

[0127] The power supply restoration status is related to the drainage and energy storage status of the corresponding distribution network nodes. The power supply restoration status can include whether the power supply of each distribution network node has been restored and, if the power supply has been restored, the power supply of its load.

[0128] There may be many ways to obtain the power supply restoration status of the power loads connected to each distribution network node in the distribution network to be restored. For example, one optional implementation method may be to send a power supply restoration status reporting instruction to each power load, so that each power load responds to the instruction and reports its own power supply restoration status. It is understandable that when the power supply of the power load has been restored, it can report its own load power supply power. When the power supply of the power load has not been restored, the power supply restoration status may not be reported. When the power supply restoration status reported by the power load is not received, it is determined that the power supply of the power load has not been restored. Another optional implementation method may be to send a power supply restoration status reporting instruction to the user terminal to instruct the user to report the collected power supply restoration status.

[0129] S303 , constructing an objective function for restoring the distribution network to be restored, using the duration of each restoration period as a first variable and the power supply restoration status as a second variable.

[0130] Optionally, in this embodiment, the sum of the products of the first variables and the second variables in the power distribution network to be restored may be used as the objective function.

[0131] Furthermore, to make the objective function more accurate and further improve the accuracy of the dispatching strategy, the importance of each power load can be obtained and used as a third variable. Based on the first variable, the second variable, and the third variable, an objective function for restoring the distribution network to be restored is constructed. The importance of each power load can be predetermined and directly obtained from a database storing the importance of each power load.

[0132] In this embodiment, the sum of the products of the third variable corresponding to each power load, each first variable, and each second variable can be used as the objective function. For example, the objective function can be as follows:

[0133] Where T is the total number of recovery periods included in the preset recovery cycle; t∈{1,2,...,T} is the period of load recovery and maintenance process; Δt represents the duration of each recovery period; B is the set of distribution network nodes; ω j is the importance of the load connected to the jth distribution network node; A 0-1 variable indicating whether power supply to the j-th load is restored in the t-th period; Indicates that the power supply to the jth power load in the tth period has been restored; is the power supplied to the jth load in the tth period.

[0134] In the above embodiment, the duration of each recovery period is used as the first variable, the power supply recovery situation is used as the second variable, and the objective function is constructed based on the first variable and the second variable, so that the objective function is determined based on each recovery period and each power load, which can improve the accuracy of the objective function.

[0135] To facilitate understanding by those skilled in the art, the above-mentioned distribution network restoration method is described in detail. As shown in FIG4 , the method may include:

[0136] S401: Determine the duration of each recovery period in a preset recovery cycle as a first variable.

[0137] S402: Obtain, in each restoration period, the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored as a second variable.

[0138] Among them, the power supply recovery situation is related to the drainage and energy storage conditions of the corresponding distribution network nodes.

[0139] S403: Obtain the importance of each power load, and use the importance of each power load as a third variable.

[0140] S404: Constructing an objective function for restoring the distribution network to be restored based on the first variable, the second variable, and the third variable.

[0141] S405: Obtain constraint conditions for the power distribution network to be restored.

[0142] The constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored.

[0143] Specifically, the resource scheduling constraints that constrain the scheduling of power restoration resources include: drainage resource scheduling constraints that constrain the drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraints that constrain the energy storage resources corresponding to the distribution network to be restored. The drainage resource scheduling constraints include: a first constraint that constrains the scheduling routes of drainage resources between different distribution network nodes, and a second constraint that constrains the drainage volume of drainage services provided by drainage resources at different distribution network nodes; the distribution network constraints include: a first time constraint that constrains the drainage time of drainage resources providing drainage services; and / or a second time constraint that constrains the travel time of energy storage resources providing energy storage services. The energy storage resource scheduling constraints include a third constraint that constrains the scheduling routes of energy storage resources between different distribution network nodes.

[0144] S406: Determine a scheduling strategy for power restoration resources based on the objective function and constraints.

[0145] S407: Restore power to the distribution network to be restored according to the dispatching strategy.

[0146] It should be understood that, although the various steps in the flow charts involved in the above-mentioned embodiments are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flow charts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0147] Based on the same inventive concept, embodiments of the present application further provide a distribution network restoration device for implementing the distribution network restoration method described above. The solution provided by this device is similar to the solution described in the method described above. Therefore, the specific limitations in one or more distribution network restoration device embodiments provided below can be found in the limitations of the distribution network restoration method described above and will not be further elaborated here.

[0148] In one embodiment, as shown in FIG5 , a distribution network restoration device is provided, comprising: an objective function construction module 501 , a constraint condition determination module 502 , a scheduling strategy determination module 503 , and a power restoration module 504 , wherein:

[0149] The objective function construction module 501 is used to construct an objective function for restoring the distribution network to be restored, with the goal of maximizing the target restoration amount corresponding to the distribution network to be restored within a preset restoration period.

[0150] The constraint condition determination module 502 is used to obtain the constraint conditions for constraining the power distribution network to be restored.

[0151] The constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored.

[0152] The scheduling strategy determination module 503 is used to determine the scheduling strategy for power restoration resources according to the objective function and the constraint conditions.

[0153] The power restoration module 504 is configured to restore power to the distribution network to be restored according to the scheduling strategy.

[0154] In one embodiment, the constraint determination module includes a resource scheduling constraint acquisition unit, which is used to obtain drainage resource scheduling constraints that constrain drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraints that constrain energy storage resources corresponding to the distribution network to be restored.

[0155] In one embodiment, the resource scheduling constraint acquisition unit is further configured to acquire a first constraint constraining the scheduling routes of drainage resources between different distribution network nodes, and a second constraint constraining the drainage volume of drainage services provided by the drainage resources at different distribution network nodes. Furthermore, the unit is configured to acquire a third constraint constraining the scheduling routes of energy storage resources between different distribution network nodes.

[0156] In one embodiment, the constraint determination module also includes a distribution network constraint acquisition unit, which is used to obtain a first time constraint that constrains the drainage time of drainage resources providing drainage services; and / or a second time constraint that constrains the travel time of energy storage resources providing energy storage services.

[0157] In one embodiment, the objective function construction module includes a duration determination unit, a power restoration status acquisition unit, and an objective function construction unit, wherein:

[0158] The duration determining unit is used to determine the duration of each recovery period within a preset recovery cycle.

[0159] The power supply restoration status acquisition unit is used to obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period.

[0160] Among them, the power supply recovery situation is related to the drainage and energy storage conditions of the corresponding distribution network nodes.

[0161] The objective function construction unit is used to construct an objective function for restoring the distribution network to be restored, using the duration of each restoration period as a first variable and the power supply restoration status as a second variable.

[0162] In one embodiment, the objective function construction unit is used to obtain the importance of each power load and use the importance of each power load as a third variable; and construct an objective function for restoring the distribution network to be restored based on the first variable, the second variable and the third variable.

[0163] Each module in the above-mentioned distribution network restoration device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a memory in the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0164] In an exemplary embodiment, a computer device is provided, which may be a terminal. Its internal structure may be as shown in FIG6 . The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and computer program stored in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and an external device. The communication interface of the computer device is configured to communicate with an external terminal via wired or wireless communication, where the wireless communication may be achieved via Wi-Fi, a mobile cellular network, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a method for power distribution network restoration. The display unit of the computer device is configured to produce a visually visible image and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0165] Those skilled in the art will understand that the structure shown in Figure 6 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0166] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0167] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0168] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0169] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0170] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0171] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0172] Drainage resource scheduling constraint conditions for constraining drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraint conditions for constraining energy storage resources corresponding to the distribution network to be restored are obtained.

[0173] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0174] Obtaining a first constraint condition constraining a dispatch route of drainage resources between different distribution network nodes, and a second constraint condition constraining a drainage volume of drainage services provided by drainage resources at different distribution network nodes; and / or,

[0175] Obtain a third constraint condition for constraining a dispatch route of energy storage resources between different distribution network nodes.

[0176] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0177] A first time constraint for constraining the drainage time of the drainage resource providing the drainage service is obtained; and / or a second time constraint for constraining the travel time of the energy storage resource providing the energy storage service is obtained.

[0178] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0179] Determine the duration of each recovery period within the preset recovery cycle;

[0180] Obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period; the power supply restoration status is related to the drainage status and energy storage status of the corresponding distribution network node;

[0181] Taking the duration of each restoration period as the first variable and the power supply restoration status as the second variable, an objective function for restoring the distribution network to be restored is constructed.

[0182] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0183] Obtaining the importance of each power load and using the importance of each power load as a third variable;

[0184] An objective function for restoring the distribution network to be restored is constructed according to the first variable, the second variable and the third variable.

[0185] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0186] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0187] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0188] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0189] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0191] Drainage resource scheduling constraint conditions for constraining drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraint conditions for constraining energy storage resources corresponding to the distribution network to be restored are obtained.

[0192] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0193] Obtaining a first constraint condition constraining a dispatch route of drainage resources between different distribution network nodes, and a second constraint condition constraining a drainage volume of drainage services provided by drainage resources at different distribution network nodes; and / or,

[0194] Obtain a third constraint condition for constraining a dispatch route of energy storage resources between different distribution network nodes.

[0195] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0196] A first time constraint for constraining the drainage time of the drainage resource providing the drainage service is obtained; and / or a second time constraint for constraining the travel time of the energy storage resource providing the energy storage service is obtained.

[0197] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0198] Determine the duration of each recovery period within the preset recovery cycle;

[0199] Obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period; the power supply restoration status is related to the drainage status and energy storage status of the corresponding distribution network node;

[0200] Taking the duration of each restoration period as the first variable and the power supply restoration status as the second variable, an objective function for restoring the distribution network to be restored is constructed.

[0201] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0202] Obtaining the importance of each power load and using the importance of each power load as a third variable;

[0203] An objective function for restoring the distribution network to be restored is constructed according to the first variable, the second variable and the third variable.

[0204] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0205] Taking the maximum target restoration amount of the distribution network to be restored within the preset restoration period as the goal, an objective function for restoring the distribution network to be restored is constructed;

[0206] Obtaining constraints on the distribution network to be restored; the constraints include resource scheduling constraints that constrain the scheduling of power restoration resources and distribution network constraints that constrain the distribution network to be restored;

[0207] Determine the dispatch strategy for power restoration resources based on the objective function and constraints;

[0208] According to the dispatching strategy, power is restored to the distribution network to be restored.

[0209] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0210] Drainage resource scheduling constraint conditions for constraining drainage resources corresponding to the distribution network to be restored, and / or energy storage resource scheduling constraint conditions for constraining energy storage resources corresponding to the distribution network to be restored are obtained.

[0211] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0212] Obtaining a first constraint condition constraining a dispatch route of drainage resources between different distribution network nodes, and a second constraint condition constraining a drainage volume of drainage services provided by drainage resources at different distribution network nodes; and / or,

[0213] Obtain a third constraint condition for constraining a dispatch route of energy storage resources between different distribution network nodes.

[0214] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0215] A first time constraint for constraining the drainage time of the drainage resource providing the drainage service is obtained; and / or a second time constraint for constraining the travel time of the energy storage resource providing the energy storage service is obtained.

[0216] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0217] Determine the duration of each recovery period within the preset recovery cycle;

[0218] Obtain the power supply restoration status of the power load connected to each distribution network node in the distribution network to be restored within each restoration period; the power supply restoration status is related to the drainage status and energy storage status of the corresponding distribution network node;

[0219] Taking the duration of each restoration period as the first variable and the power supply restoration status as the second variable, an objective function for restoring the distribution network to be restored is constructed.

[0220] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0221] Obtaining the importance of each power load and using the importance of each power load as a third variable;

[0222] An objective function for restoring the distribution network to be restored is constructed according to the first variable, the second variable and the third variable.

[0223] It should be noted that the information and data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0224] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0225] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0226] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A distribution network restoration method, characterized in that, The method includes: Taking the maximum of the target recovery amount corresponding to the power distribution network to be restored within a preset recovery period as the goal, constructing an objective function for restoring the power distribution network to be restored; Obtaining the constraint conditions for constraining the power distribution network to be restored; the constraint conditions include resource scheduling constraint conditions for constraining the scheduling of power restoration resources, and power distribution network constraint conditions for constraining the power distribution network to be restored; Determining a scheduling strategy for the power restoration resources according to the objective function and the constraint conditions; Restoring the power of the power distribution network to be restored according to the scheduling strategy.

2. The method according to claim 1, characterized in that The resource scheduling constraint conditions for constraining the scheduling of power restoration resources include: Drainage resource scheduling constraint conditions for constraining the drainage resources corresponding to the power distribution network to be restored, and / or energy storage resource scheduling constraint conditions for constraining the energy storage resources corresponding to the power distribution network to be restored.

3. The method according to claim 2, characterized in that, The drainage resource scheduling constraint conditions include: a first constraint condition for constraining the scheduling route of the drainage resources between different distribution network nodes, and a second constraint condition for constraining the drainage volume of the drainage resources providing drainage services at different distribution network nodes; The energy storage resource scheduling constraint conditions include a third constraint condition for constraining the scheduling route of the energy storage resources between different distribution network nodes.

4. The method according to claim 2, wherein The power distribution network constraint conditions include: a first time constraint for constraining the drainage time of the drainage resources providing drainage services; and / or, a second time constraint for constraining the travel time of the energy storage resources providing energy storage services.

5. The method according to any one of claims 1-4, characterized in that The constructing of the objective function for restoring the power distribution network to be restored includes: Determining the duration of each recovery period within the preset recovery period; Obtaining the power supply recovery situation of the electrical loads connected to each distribution network node in the power distribution network to be restored during each recovery period; wherein, the power supply recovery situation is related to the drainage situation and energy storage situation of the corresponding distribution network node; Constructing an objective function for restoring the power distribution network to be restored with the duration of each recovery period as the first variable and the power supply recovery situation as the second variable.

6. The method according to claim 5, wherein The constructing of the objective function for restoring the power distribution network to be restored with the duration of each recovery period as the first variable and the power supply recovery situation as the second variable includes: Obtaining the importance degree of each electrical load, and taking the importance degree of each electrical load as the third variable; Constructing an objective function for restoring the power distribution network to be restored according to the first variable, the second variable and the third variable.

7. A distribution network restoration device, characterized in that, The device includes: An objective function construction module, configured to take the maximum of the target recovery amount corresponding to the power distribution network to be restored within a preset recovery period as the goal, and construct an objective function for restoring the power distribution network to be restored; A constraint condition determination module, configured to obtain the constraint conditions for constraining the power distribution network to be restored; the constraint conditions include resource scheduling constraint conditions for constraining the scheduling of power restoration resources, and power distribution network constraint conditions for constraining the power distribution network to be restored; A scheduling strategy determination module, configured to determine a scheduling strategy for the power restoration resources according to the objective function and the constraint conditions; A power restoration module, configured to perform power restoration on the distribution network to be restored according to the scheduling strategy.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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