Mobile energy storage configuration method and system for power distribution network insurance supply

Abstract

The invention provides a mobile energy storage configuration method and system for power distribution network supply guarantee, and the method comprises the steps: obtaining an equivalent road section distance through which mobile energy storage equipment i needs to pass, and calculating the movement time according to the equivalent road section distance; obtaining a power failure risk value of each node in unit time, constructing a first objective function according to the power failure risk value and the movement time, and constructing a maximum movement time constraint condition; solving the first objective function, and obtaining the number of sites of the energy storage equipment and the position of each site according to a solving result; and constructing an energy storage constant volume model related to the energy storage equipment at the position of each site, wherein the energy storage constant volume model comprises a second objective function taking the minimization of the total cost of the mobile energy storage equipment as an objective, and constraint conditions related to the second objective function. According to the embodiment of the invention, the problems of low resource configuration efficiency, difficulty in quick response when a fault occurs and difficulty in minimizing power failure loss in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage configuration, and particularly to a mobile energy storage configuration method and system for ensuring power supply in a distribution network. Background Art

[0002] In the event of power emergencies, such as natural disasters or equipment failures, rapid response is the key to ensuring power supply. Therefore, the moving speed and time limit of mobile energy storage devices within a specific area become particularly important to ensure that they can reach the fault site in the shortest possible time.

[0003] The current distribution network has significant deficiencies in responding to sudden power outages. This is mainly reflected in the fact that traditional emergency material management strategies rely mostly on fixed warehouses, resulting in redundant emergency power configurations and low daily utilization rates. At the same time, the siting and scheduling of existing mobile energy storage devices lack systematic optimization, failing to comprehensively consider the differences in power outage risks at different load nodes and the needs of user satisfaction. These problems stem from the fact that the emergency response mechanism focuses on major accident handling and ignores daily flexible applications. Existing models do not effectively integrate the scheduling time of mobile energy storage devices with load demands, and lack a hierarchical management strategy for safe, economic, and quality loads, leading to low resource allocation efficiency and difficulty in quickly responding to faults and minimizing power outage losses. Summary of the Invention

[0004] The purpose of the present invention is to provide a mobile energy storage configuration method and system for ensuring power supply in a distribution network, aiming to solve the problems of low resource allocation efficiency in traditional technologies, difficulty in quickly responding to faults, and minimizing power outage losses.

[0005] In a first aspect, the present invention provides a mobile energy storage configuration method for ensuring power supply in a distribution network, the method comprising: Obtaining the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the load node k in the transportation network, and calculating the moving time based on the equivalent section distance; Obtaining the power outage risk value of each node per unit time, constructing a first objective function based on the power outage risk value and the moving time, and constructing a maximum moving time constraint condition; Solving the first objective function, and obtaining the number of siting locations of the energy storage device and the location of each siting based on the solution result; Constructing an energy storage capacity determination model for the energy storage device at each siting location, the energy storage capacity determination model including a second objective function with the minimum total cost of the mobile energy storage device as the target, and constraints on the second objective function, the constraints including mobile energy storage device constraints, mobile energy storage power supply constraints, node power balance constraints, load power constraints, self-provided power supply constraints, and satisfaction constraints.

[0006] Further, the step of obtaining the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the load node k of the distribution network in the transportation network and calculating the moving time according to the equivalent section distance includes: The moving time is calculated according to the following formula: ; Wherein, represents the time required for the mobile energy storage vehicle i to be deployed from the initial position to the node j; represents the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the node k in the transportation network; represents the actual passing speed of the mobile energy storage device i during passing; The section distance is calculated according to the following formula: ; Wherein, is the shortest section distance that the mobile energy storage device i needs to pass from the initial position to the node k in the transportation network; The actual passing speed is calculated according to the following formula: ; Wherein, is the vehicle speed under the ideal condition of zero traffic flow; c represents the congestion degree of the transportation network in the disaster scenario.

[0007] Further, the step of obtaining the power outage risk value of each node per unit time includes: The power outage risk value is calculated according to the following formula: ; Wherein, represents the power outage risk value of the node j during a power outage; represents the power outage loss value of the node j during a power outage; represents the power outage probability of the node j under emergencies; The power outage loss value is calculated according to the following formula: ; Wherein, is the loss value of the node j per unit time per unit power deficit, is the power demand value of the load system of the node j during a power outage, is the power that the self-provided power supply of the load system of the node j can provide during a power outage.

[0008] Further, the step of constructing the first objective function according to the power outage risk value and the moving time, and constructing the maximum moving time constraint condition includes: Construct the first objective function according to the following formula: ; Wherein, represents the initial node position of the mobile energy storage vehicle i, and n represents that there are n load nodes in the distribution network system; Construct the maximum moving time constraint condition according to the following formula: ; Wherein, represents the longest time allowed for the mobile energy storage vehicle to be deployed to the target node.

[0009] Further, the step of solving the first objective function and obtaining the number of siting locations of the energy storage device and the location of each siting according to the solution result includes: Generate a node traffic network diagram to be planned according to the geographic traffic data information and the distribution network node information, and the node traffic network includes the passing time between any two nodes; Construct a node matrix S with the total number of nodes as the number of rows and columns, , , ; represents the passing time between the xth node and the yth node, N represents the total number of nodes. If the xth node and the yth node are not connected, then fill inf in the node matrix; Solve the shortest route between any two nodes according to the node matrix, and predict the minimum number of siting points P based on the shortest route; Judge whether the passing time between any two nodes in the number of siting points is less than or equal to the preset maximum time threshold; If the passing time between any two nodes in the number of siting points is less than or equal to the preset maximum time threshold, then obtain at least one siting point set according to the minimum number of siting points; Sort the at least one siting point set according to the power outage risk value, and screen out the target siting point set with the lowest total power outage risk value according to the sorting result; If the passing time between any two nodes in the number of siting points is greater than the preset maximum time threshold, then let , and re-judge whether the passing time between any two nodes after updating the number of siting points is less than or equal to the preset maximum time threshold until the passing time between any two nodes in the number of siting points is less than or equal to the preset maximum time threshold.

[0010] Further, the step of constructing a storage capacity determination model for energy storage devices at each selected location, where the storage capacity determination model includes a second objective function with the minimum total cost of mobile energy storage devices as the target and the constraint conditions for the second objective function, includes: Construct the second objective function according to the following formula: ; Where, Represents the total construction cost of mobile energy storage vehicles; Represents the construction cost of a single vehicle of the h-th type of mobile energy storage vehicle; H represents the number of types of mobile energy storage vehicles; Represents the number of mobile energy storage devices of the h-th type; Construct the mobile energy storage power supply guarantee power constraint according to the following formula: ; Where, H represents the total number of types of mobile energy storage vehicles; Represents the type of mobile energy storage vehicle, and h can take positive integers from 1 to H, Represents the power that the mobile energy storage device at load node j can provide for the safe load layer, Represents the power that the mobile energy storage device at load node j can provide for the economic load layer, Represents the power that the mobile energy storage device at load node j can provide for the quality load layer; Construct the node power balance constraint according to the following formula: ; Where, Represents the load power of the safe load layer at node j, Represents the load power of the economic load layer at node j, Represents the load power of the high-quality load layer at node j, Represents the total load power at node j, Represents the power that the self-provided power supply of the load system at node j can provide during a power outage; Construct the load power constraint according to the following formula: ; Construct the self-provided power supply power constraint according to the following formula: ; Where, Represents the power that the self-provided power supply at load node j can provide for the safe load layer during a power outage, Represents the power that the self-provided power supply at load node j can provide for the economic load layer during a power outage, Represents the power that the self-provided power supply at load node j can provide for the quality load layer during a power outage, It means that the total self-provided power of different load levels of node j does not exceed the maximum self-provided power that node j can provide. Construct the satisfaction constraint according to the following formula: ; Among them, Y is the overall satisfaction of users; is the weight of the satisfaction of the security load layer; is the weight of the satisfaction of the economic load layer; is the weight of the satisfaction of the high-quality load layer; is the satisfaction of the security load layer; is the satisfaction of the economic load layer; is the satisfaction of the quality load layer.

[0011] Furthermore, calculate the satisfaction of the security load layer according to the following formula: ; Among them, represents the supply guarantee demand level of the load power of the security load layer of load node j, represents the power supply power that the mobile energy storage device of load node j can provide for the security load layer, represents the power that the self-provided power source of load node j can provide for the security load layer during a power outage; Calculate the satisfaction of the economic load layer according to the following formula: ; Among them, represents the supply guarantee demand level of the load power of the economic load layer of load node j, represents the power supply power that the mobile energy storage device of load node j can provide for the economic load layer, represents the power that the self-provided power source of load node j can provide for the economic load layer during a power outage; Calculate the satisfaction of the quality load layer according to the following formula: ; Among them, represents the supply guarantee demand level of the load power of the quality load layer of load node j, represents the power supply power that the mobile energy storage device of load node j can provide for the quality load layer, represents the power that the self-provided power source of load node j can provide for the quality load layer during a power outage.

[0012] In the second aspect, the present invention provides a mobile energy storage configuration system for power supply guarantee of a distribution network, and the system includes: The moving time calculation module is used to obtain the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the load node k of the distribution network in the transportation network, and calculate the moving time according to the equivalent section distance; The first objective function construction module is used to obtain the power outage risk value of each node per unit time, construct the first objective function according to the power outage risk value and the moving time, and construct the maximum moving time constraint condition; The solving module is used to solve the first objective function, and obtain the number of siting of the energy storage device and the location of each siting according to the solving result; The energy storage capacity determination model construction module is used to construct an energy storage capacity determination model for the energy storage device at each siting location. The energy storage capacity determination model includes a second objective function with the goal of minimizing the total cost of the mobile energy storage device, and constraints on the second objective function. The constraints include mobile energy storage device constraints, mobile energy storage power supply guarantee power constraints, node power balance constraints, load power constraints, self-provided power supply power constraints, and satisfaction constraints.

[0013] In a third aspect, the present invention provides a storage medium that stores one or more programs, and when the program is executed by a processor, it implements the above-mentioned mobile energy storage configuration method for ensuring power supply to the distribution network.

[0014] In a fourth aspect, the present invention provides an electronic device, where the electronic device includes a memory and a processor, and: The memory is used to store a computer program; When the processor is used to execute the computer program stored on the memory, it implements the above-mentioned mobile energy storage configuration method for ensuring power supply to the distribution network.

[0015] Compared with the prior art, the embodiment of the present invention systematically solves the defects of the prior art by stepwise optimizing the siting and capacity determination problems of mobile energy storage devices. First, a mathematical model is established based on the power outage risk value and user satisfaction to preferentially dispatch high-risk load nodes, and the Floyd algorithm is used to solve and optimize the path planning to shorten the arrival time of the energy storage vehicle. Secondly, through the satisfaction constraints of hierarchical loads (safety, economy, quality), the mobile energy storage power is accurately matched with the user demand, and the energy storage vehicle type and quantity are selected in combination with the principle of optimal cost. This method not only improves the daily utilization efficiency of emergency resources, but also significantly enhances the response speed and power supply guarantee ability of the distribution network in emergencies, effectively shortening the power outage duration and reducing economic losses. Description of the Drawings

[0016] Figure 1 It is a flowchart of the mobile energy storage configuration method for ensuring power supply to the distribution network proposed in an embodiment of the present invention; Figure 2The node traffic network diagram exemplified by an embodiment of the present invention; Figure 3 The schematic diagram of the node matrix in an embodiment of the present invention; Figure 4 The structural schematic diagram of a mobile energy storage configuration system for power supply guarantee of a distribution network proposed by an embodiment of the present invention.

[0017] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. Specific embodiments

[0018] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Unless otherwise defined, the technical terms or scientific terms used herein shall have the ordinary meanings understood by those of ordinary skill in the art in the field to which the present invention belongs. The words such as "including" used herein mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects.

[0019] As Figure 1 shown, an embodiment of the present invention provides a mobile energy storage configuration method for power supply guarantee of a distribution network. The method includes steps S101 to S104, wherein: Step S101: Obtain the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the load node k in the traffic network, and calculate the moving time according to the equivalent section distance; First of all, it should be pointed out that in the mobile energy storage device location model in the distribution network area, one point considered in this step is the time condition constraint on the operation and scheduling of the mobile energy storage vehicle. Therefore, it is necessary to establish a moving energy storage vehicle time-consuming model:

[0020] Among them, represents the time required for the mobile energy storage vehicle i to be deployed from the initial position to the node j; represents the equivalent section distance that the mobile energy storage device i needs to pass from the initial position to the node k in the traffic network; represents the actual passing speed of the mobile energy storage device i during passing; and is related to There is a functional relationship, and the spatial scheduling relationship between the actual vehicle speed of mobile energy storage and the equivalent passing distance is reflected through the traffic integration coefficient.

[0021] The section distance is calculated according to the following formula: ; Where is the shortest section distance that the mobile energy storage device i needs to pass from the initial position to node k in the traffic network; The actual passing speed is calculated according to the following formula: ; Where is the vehicle speed under the ideal condition of zero traffic flow; c represents the congestion degree of the traffic network in the disaster scenario, which is related to the disaster impact degree and traffic flow, and can be estimated according to the disaster situation of the traffic network after the disaster.

[0022] Step S102: Obtain the power outage risk value of each node per unit time, construct a first objective function according to the power outage risk value and the moving time, and construct a maximum moving time constraint condition; It should be noted that in the mobile energy storage device location model, in addition to the time condition constraints for the operation and scheduling of mobile energy storage vehicles, the power outage risk value also needs to be considered. For identified key power users, relevant regulations must be followed, self-provided emergency power supplies must be deployed, and their safety management measures must be strengthened. Therefore, when these load nodes in the distribution network fail, they will quickly activate their self-provided emergency power supplies as a substitute. At the same time, grid operators will also start redundant lines at full speed in an attempt to restore power supply to some areas. These operations are efficient and rapid, and can bring power supply to some power outage areas in a very short time. In this context, the power shortage of the actual load point is the difference between the power that its system can provide and the power or capacity of its self-provided emergency power supply. Such a configuration and management strategy aims to ensure that key loads can continuously obtain the necessary power support when the power supply of a certain line is interrupted, and help gradually repair the affected power supply network until the normal power supply is fully restored. Based on this, for the calculation of the power outage loss value, the power supply provided by the self-provided power supply of important nodes needs to be considered. Define as the loss value of the power shortage per unit time and unit power of node j, and then the power outage risk value is calculated according to the following formula: ; Where represents the power outage risk value of node j during a power outage; represents the power outage loss value of node j during a power outage; Denote the power outage probability of node j under an emergency event, such as a natural disaster.

[0023] More specifically, the value of power outage loss is calculated according to the following formula: ; Where is the loss value of node j per unit time and per unit power deficit, is the power demand value of the load system of node j during a power outage, is the power that the self-provided power supply of the load system of node j can provide during a power outage.

[0024] In addition, the above steps comprehensively consider the deployment time of mobile energy storage vehicles and the power outage risk values of each load node in the distribution network. To ensure that the mobile energy storage device can reach the load node with the highest power outage risk value in the shortest time, thereby minimizing the power outage loss, under the premise of meeting the time requirements, the location closest to these high-risk load nodes is preferentially selected as the initial deployment point of the mobile energy storage device. Based on this logic, this step establishes the core goal of optimizing the location of mobile energy storage devices, that is, to minimize the product of the power outage risk value and the deployment time of the mobile energy storage vehicle, so as to improve the emergency response ability and power supply guarantee efficiency of the distribution network.

[0025] Specifically, in some embodiments, the first objective function is constructed according to the following formula: ; Where represents the initial node location of mobile energy storage vehicle i, and n represents that there are n load nodes in the distribution network system; The maximum movement time constraint condition is constructed according to the following formula: ; Where represents the maximum allowable time for the mobile energy storage vehicle to be deployed to the target node.

[0026] Step S103: Solve the first objective function, and obtain the number of locations for energy storage devices and the location of each location according to the solution result; It should be noted that in the solution process, this step adopts an innovative matrix iteration method, aiming to systematically explore the shortest path between any two points in a transportation network or a similar complex structure. This method not only consolidates the comprehensiveness of the solution, ensuring the accurate coverage of the shortest paths of all node pairs in the network, but also enhances the in-depth analysis ability of the algorithm through the iterative process, reflecting the flexibility and superiority of the algorithm design.

[0027] Specifically, as Figure 2 and Figure 3As shown in the figure, first, a node traffic network diagram to be planned is generated based on geographical traffic data information and distribution network node information. The node traffic network includes the travel time between any two nodes. Among them, the exemplified A, B, C, D, E, F, and G all represent nodes, and the numbers between the nodes represent the travel time between the two nodes. Then, a node matrix S is constructed with the total number of nodes as the number of rows and columns. , , ; represents the travel time between the x-th node and the y-th node, N represents the total number of nodes. If the x-th node and the y-th node are not connected, then "inf" is filled in the node matrix; the shortest route between any two nodes is solved according to the node matrix, and the minimum number of siting points P is predicted based on the shortest route; it is judged whether the travel time between any two nodes in the number of siting points is less than or equal to a preset maximum time threshold; if the travel time between any two nodes in the number of siting points is less than or equal to the preset maximum time threshold, then at least one siting point set is obtained according to the minimum number of siting points; the at least one siting point set is sorted according to the power outage risk value, and the target siting point set with the lowest total power outage risk value is selected according to the sorting result; if the travel time between any two nodes in the number of siting points is greater than the preset maximum time threshold, then let , and re-judge whether the travel time between any two nodes after updating the number of siting points is less than or equal to the preset maximum time threshold until the travel time between any two nodes in the number of siting points is less than or equal to the preset maximum time threshold.

[0028] It should also be noted that each node included in the siting point set corresponds to a power outage risk value, and the sum of the power outage risk values of all nodes in the same siting point set is the total power outage risk value.

[0029] Step S104: Build a storage capacity determination model for energy storage devices at each siting location. The storage capacity determination model includes a second objective function with the minimum total cost of mobile energy storage devices as the goal, and constraints on the second objective function. The constraints include mobile energy storage device constraints, mobile energy storage power supply power constraints, node power balance constraints, load power constraints, self-provided power source power constraints, and satisfaction constraints.

[0030] It should be noted that in the distribution network, there are different types of loads with significantly different characteristics at the same node. In this step, they are divided into a safety load layer, an economic load layer, and a quality load layer. To maximize the use value of mobile energy storage devices, it is necessary to scientifically and reasonably configure the capacity and location of mobile energy storage devices according to the load characteristics of each node. By accurately matching the capacity of mobile energy storage devices with the needs of critical loads, these devices can be utilized more effectively, improving the power supply guarantee ability of the distribution network and ensuring the stable operation of the power grid. Therefore, optimizing the configuration strategy of mobile energy storage devices and enhancing their utilization efficiency in the distribution network are the key to strengthening the distribution network's ability to respond to emergencies.

[0031] In addition, it should also be pointed out that the core goal of dividing the distribution network load into a safety load layer, a quality load layer, and an economic load layer is to achieve the coordinated optimization of power grid operation efficiency, reliability, and economy through hierarchical management. The safety load layer focuses on the basic power supply guarantee in extreme scenarios, giving priority to ensuring the power supply of critical loads in special scenarios such as hospitals and emergency facilities, and avoiding major risks caused by power outages; the quality load layer targets the strict requirements of some high-end industries for power quality, ensuring the stability of voltage and frequency through customized services, reducing harmonic interference, thus supporting the development of high-end industries and reducing equipment losses; the economic load layer can effectively regulate interruptible or flexible loads, using time-of-use electricity prices, demand response and other mechanisms to guide users to shift peak electricity consumption, flatten the load peak-valley difference, reduce the power supply cost and improve the new energy consumption capacity. This hierarchical model breaks the traditional "one-size-fits-all" management limitation of the power grid through differentiated services, not only enhancing the anti-risk resilience of the system, but also optimizing resource allocation with price signals, reflecting the transformation of the power system from "single power supply guarantee" to "safety-quality-economy" multi-objective coordinated refined services. Especially in the context of high proportion of new energy access, it can more flexibly coordinate resources on both the supply and demand sides and effectively achieve the balance of social and economic benefits.

[0032] In the power industry, the satisfaction of power supply users, as the core indicator to measure the service quality of enterprises, is of great importance. This indicator is not only directly related to the market competitiveness of power enterprises, but also the cornerstone of building and maintaining customer loyalty. When comprehensively evaluating the satisfaction of power supply users, multiple dimensions need to be considered, such as service quality, value perception, customer trust, and loyalty. From a technical perspective, the continuity and stability of power supply are important technical guarantees for improving customer satisfaction. In this context, the role of mobile energy storage devices is particularly crucial. When the installation capacity and location of mobile energy storage devices are determined, their application value in the distribution network is maximized.

[0033] Specifically, when the power grid is operating normally, the mobile energy storage device can actively participate in peak shaving, frequency modulation, and power quality regulation of the power grid, effectively ensuring the stable operation of the distribution network and improving the overall power supply quality. When the power grid encounters a fault, these devices can quickly convert into emergency power sources to provide power support for the fault area, significantly shortening the power outage time and reducing power outage losses. Further, after configuring mobile energy storage devices in the distribution system, not only can the stability and reliability of the system be improved, but also the resilience and adaptability of the system can be enhanced. This enables the distribution system to quickly respond and effectively cope with various emergencies, thereby ensuring the continuity and stability of power supply and further improving customer satisfaction. In summary, mobile energy storage devices play an important role in improving the satisfaction of power supply users and enhancing the stability and reliability of the distribution system. In the future, with the continuous progress of technology and the in-depth application, their value in the power industry will be more fully realized.

[0034] By constraining the user satisfaction, the minimum power of the mobile energy storage device to be provided is obtained. Then, considering the cost issue based on the types that the known mobile energy storage vehicle can provide, the selection of the mobile energy storage device is determined.

[0035] For example, for a specified power supply area of a distribution network, there are a total of n load nodes that need to ensure power supply. The letter j represents any of these nodes, and j can take positive integers from 1 to n. When a fault occurs, the power department needs to dispatch mobile energy storage devices to meet the power quality requirements of each load node and ensure the satisfaction of power users as much as possible. When the load power supply of node j is insufficient due to a fault, its required power can be defined separately. Define the load power of the safety load layer of node j as , and the load power of the economic load layer of node j as , and the load power of the high-quality load layer of node j as .

[0036] Then, the satisfaction of the safety load layer is calculated according to the following formula: ; Among them, represents the power supply demand level of the safety load layer of load node j, represents the power supply power that the mobile energy storage device of load node j can provide for the safety load layer, represents the power that the self-provided power source of load node j can provide for the safety load layer during a power outage; The satisfaction of the economic load layer is calculated according to the following formula: ; Among them, Indicates the supply guarantee demand level of the load power of the economic load layer of load node j. Indicates the power supply that the mobile energy storage device at load node j can provide for the economic load layer. Indicates the power that the self-provided power source at load node j can provide for the economic load layer during a power outage. The satisfaction degree of the quality load layer is calculated according to the following formula: ; Among them, Indicates the supply guarantee demand level of the load power of the quality load layer of load node j. Indicates the power supply that the mobile energy storage device at load node j can provide for the quality load layer. Indicates the power that the self-provided power source at load node j can provide for the quality load layer during a power outage.

[0037] In addition, in some embodiments, the second objective function is constructed according to the following formula: ; Among them, Indicates the total construction cost of mobile energy storage vehicles; Indicates the construction cost per vehicle of the h-th type of mobile energy storage vehicle; H represents the number of types of mobile energy storage vehicles; Indicates the number of mobile energy storage devices of the h-th type.

[0038] In addition, in some embodiments, regarding the constraints of mobile energy storage devices, the mobile energy storage devices used are mobile energy storage vehicles. Due to cost considerations, there are limitations on the types and quantities that the power supply guarantee unit can equip. According to the load node power requirements mentioned above, a reasonable configuration plan is selected considering the smallest possible cost.

[0039] Regarding the constraints of mobile energy storage power supply, after the mobile energy storage device is dispatched to load node j during a fault, it is set that the maximum power that the mobile energy storage device can provide should meet the requirement of not being less than the maximum power on the load side. That is, the constraints of mobile energy storage power supply are constructed according to the following formula: ; Among them, H represents the total number of types of mobile energy storage vehicles; Indicates the type of mobile energy storage vehicle, and h can take positive integers from 1 to H.

[0040] The node power balance constraints are constructed according to the following formula: ; Among them, Indicates the total load power of node j, Indicates the power that the self-provided power source of the load system at node j can provide during a power outage.

[0041] Regarding the load power constraint, it is set that in the stage after the dispatching of the mobile energy storage device, at node j, the power of different load levels that can be restored does not exceed the total required power of that load level. That is, the load power constraint is constructed according to the following formula: ; Regarding the self-provided power constraint, it is set that the total self-provided power of different load levels at node j does not exceed the maximum self-provided power that node j can provide. That is, the self-provided power constraint is constructed according to the following formula: ; Among them, represents the power that the self-provided power source can provide for the safety load level when the load node j is powered off, represents the power that the self-provided power source can provide for the economic load level when the load node j is powered off, represents the power that the self-provided power source can provide for the quality load level when the load node j is powered off, represents that the total self-provided power of different load levels at node j does not exceed the maximum self-provided power that node j can provide.

[0042] Regarding the satisfaction constraint, when a fault occurs in the distribution network, the satisfaction needs to meet certain requirements. Considering the differences in the importance of different types of load levels, weighted values are used for summation: .

[0043] To sum up, in this step, a fixed-capacity model of the mobile energy storage device is established. First, after load stratification, a corresponding satisfaction model is established. By constraining the satisfaction, the minimum power of the mobile energy storage device required under fault conditions is obtained. Further, considering the cost issue, an optimal configuration method of the mobile energy storage vehicle is given to complete the fixed-capacity analysis of the mobile energy storage device.

[0044] In summary, according to the above-mentioned mobile energy storage configuration method for power supply guarantee of distribution network, the location selection problem of mobile energy storage devices and the selection problem of mobile energy storage vehicles in the distribution network are discussed in two parts in sequence, progressing step by step. When constructing the mobile energy storage device configuration model, the time for the energy storage vehicle to reach the power outage area node and the load demand to be met are comprehensively considered. The primary task is to select the best parking position for the energy storage vehicle to ensure that the mobile energy storage vehicle can respond quickly and reach the power outage area rapidly in case of a load node fault power outage, thereby shortening the power outage duration and ensuring the stability of power supply. Then, by constraining the user satisfaction, the minimum power value of the mobile energy storage device to be provided is obtained. Furthermore, according to the types of mobile energy storage vehicles that can be provided, considering the cost issue, the configuration selection of the mobile energy storage vehicle is carried out. This method not only improves the daily utilization efficiency of emergency resources but also significantly enhances the response speed and power supply guarantee ability of the distribution network in case of emergencies, effectively shortening the power outage duration and reducing economic losses.

[0045] As Figure 4 shown, an embodiment of the present invention also provides a mobile energy storage configuration system for power supply guarantee of distribution network, and the system includes: A moving time calculation module 10, configured to obtain the equivalent road section distance that the mobile energy storage device i needs to pass from the initial position to the load node k of the distribution network in the transportation network, and calculate the moving time according to the equivalent road section distance; A first objective function construction module 20, configured to obtain the power outage risk value of each node per unit time, and construct a first objective function according to the power outage risk value and the moving time, and construct a maximum moving time constraint condition; A solving module 30, configured to solve the first objective function, and obtain the number of locations for the energy storage device and the location of each location according to the solution result; An energy storage capacity determination model construction module 40, configured to construct an energy storage capacity determination model for the energy storage device at each location, where the energy storage capacity determination model includes a second objective function with the minimum total cost of the mobile energy storage device as the target, and constraints on the second objective function, and the constraints include mobile energy storage device constraints, mobile energy storage power supply guarantee power constraints, node power balance constraints, load power constraints, self-provided power source power constraints, and satisfaction constraints.

[0046] On the other hand, the present invention also proposes a storage medium, on which one or more programs are stored, and when the program is executed by a processor, the above-mentioned mobile energy storage configuration method for power supply guarantee of distribution network is implemented.

[0047] On the other hand, the present invention also provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor is used to execute the computer program stored on the memory to implement the above-mentioned mobile energy storage configuration method for power supply guarantee of the distribution network.

[0048] Those skilled in the art can understand that the logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0049] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection part (electronic device) having one or more wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or processing it in other suitable ways if necessary, and then storing it in a computer memory.

[0050] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0051] Although the embodiments of the present invention have been described in detail above, it will be apparent to those skilled in the art that various modifications and variations can be made to these embodiments. However, it should be understood that such modifications and variations are all within the scope and spirit of the present invention as described in the claims. Moreover, the present invention described herein can have other embodiments and can be implemented or realized in various ways.

Claims

1. A mobile energy storage configuration method for ensuring power supply in a distribution network, characterized in that: The method comprises: Obtain the equivalent section distance that the mobile energy storage device i needs to travel from the initial position to the load node k of the distribution network in the transportation network, and calculate the moving time based on the equivalent section distance; Obtaining a power outage risk value per unit time for each node, constructing a first objective function according to the power outage risk value and the moving time, and constructing a maximum moving time constraint condition; Solving the first objective function, and obtaining the number of selected sites for energy storage devices and the location of each selected site according to the solution result; An energy storage sizing model for energy storage equipment is constructed at each site selection location, wherein the energy storage sizing model includes a second objective function with the goal of minimizing the total cost of mobile energy storage equipment, and constraints on the second objective function, wherein the constraints include mobile energy storage equipment constraints, mobile energy storage guaranteed power constraints, node power balance constraints, load power constraints, self-provided power supply constraints, and satisfaction constraints.

2. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 1 is characterized in that: The step of obtaining the equivalent section distance that the mobile energy storage device i needs to travel from the initial position to the load node k of the distribution network in the transportation network, and calculating the moving time according to the equivalent section distance includes: The moving time is calculated according to the following formula: ； in, Indicates that the mobile energy storage vehicle i moves from the initial position The time required to deploy to node j; Represents the movement of mobile energy storage device i from its initial position in the transportation network The equivalent distance of the road section required to reach node k; represents the actual travel speed of the mobile energy storage device i during the travel period; The distance of the road section is calculated according to the following formula: ； in, The mobile energy storage device i moves from its initial position in the traffic network The shortest distance to node k; The actual speed is calculated according to the following formula: ； in, is the vehicle speed under ideal conditions with zero traffic flow; c represents the congestion level of the traffic network under disaster scenarios.

3. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 2 is characterized in that: The step of obtaining the power outage risk value of each node per unit time includes: The power outage risk value is calculated according to the following formula: ； in, represents the power outage risk value of node j during a power outage; represents the power outage loss value of node j during power outage; represents the power outage probability of node j under an emergency event; The power outage loss value is calculated according to the following formula: ； in, is the loss value of node j per unit power shortage per unit time, is the power demand value of the load system at node j during a power outage, It is the power that the load system of node j can provide when the power is cut off.

4. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 3 is characterized in that: The step of constructing a first objective function according to the power outage risk value and the moving time, and constructing a maximum moving time constraint condition comprises: The first objective function is constructed according to the following formula: ； in, represents the initial node position of mobile energy storage vehicle i, and n represents the total number of n load nodes in the distribution network system; The maximum movement time constraint is constructed according to the following formula: ； in, Indicates the maximum time allowed for the mobile energy storage vehicle to be deployed to the target node.

5. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 4 is characterized in that: The step of solving the first objective function and obtaining the number of selected sites for energy storage devices and the position of each selected site according to the solution result comprises: Generate a node traffic network diagram to be planned based on geographic traffic data information and distribution network node information, wherein the node traffic network includes the travel time between any two nodes; Construct the node matrix S with the total number of nodes as the number of rows and columns, , , ; represents the travel time between the xth node and the yth node, N represents the total number of nodes, if the xth node is not connected to the yth node, fill inf in the node matrix; Solve the shortest route between any two nodes according to the node matrix, and predict the minimum number of site selection points P based on the shortest route; Determine whether the travel time between any two nodes in the number of site selection points is less than or equal to the preset maximum time threshold; If the travel time between any two nodes in the number of site selection points is less than or equal to the preset maximum time threshold, then at least one set of site selection points is obtained according to the minimum number of site selection points; Sorting the at least one set of site selection points according to the power outage risk value, and selecting a set of target site selection points with the lowest total power outage risk value according to the sorting result; If the travel time between any two nodes in the number of site selection points is greater than the preset maximum time threshold, then , and re-judge whether the travel time between any two nodes after the number of site selection points is updated is less than or equal to the preset maximum time threshold, until the travel time between any two nodes in the number of site selection points is less than or equal to the preset maximum time threshold.

6. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 5 is characterized in that: The step of constructing an energy storage capacity determination model for energy storage equipment at each site selection location, wherein the energy storage capacity determination model includes a second objective function with the goal of minimizing the total cost of mobile energy storage equipment, and constraints on the second objective function includes: The second objective function is constructed according to the following formula: ； in, represents the total mobile energy storage vehicle construction cost; represents the construction cost of a single vehicle of the hth type of mobile energy storage vehicle; H represents the number of types of mobile energy storage vehicles; represents the number of mobile energy storage devices of the hth type; The mobile energy storage power supply constraint is constructed according to the following formula: ； Where H represents the total number of types of mobile energy storage vehicles; Indicates the type of mobile energy storage vehicle, h can be a positive integer from 1 to H, represents the power supply that the mobile energy storage device at load node j can provide for the safety load layer, represents the power supply that the mobile energy storage device at load node j can provide for the economic load layer, It represents the power supply that the mobile energy storage device of load node j can provide to the quality load layer; The node power balance constraint is constructed according to the following formula: ； in, represents the safety load layer load power of node j, represents the economic load layer load power of node j, represents the load power of the high-quality load layer of node j, represents the total load power of node j, It represents the power that the self-contained power supply of the load system of node j can provide during a power outage; The load power constraint is constructed according to the following formula: ； The self-provided power supply power constraint is constructed according to the following formula: ； in, It represents the power that the self-contained power supply of load node j can provide for the safety load layer during a power outage. It represents the power that the self-contained power supply of load node j can provide to the economic load layer during a power outage. It represents the power that the self-contained power supply of load node j can provide to the quality load layer during a power outage. It means that the total power of self-supplied power of different load layers of node j does not exceed the maximum power of self-supplied power that node j can provide; The satisfaction constraint is constructed according to the following formula: ； Among them, Y is the overall satisfaction of the user; is the weight of safety load layer satisfaction; is the weight of economic load layer satisfaction; is the weight of the satisfaction level of the high-quality load layer; for safety load layer satisfaction; is the economic load layer satisfaction; For quality load layer satisfaction.

7. The mobile energy storage configuration method for power distribution network supply guarantee according to claim 6 is characterized in that: The safety load layer satisfaction is calculated according to the following formula: ； in, It represents the guaranteed supply demand level of the load power of the safety load layer of load node j, It represents the power that the self-contained power supply of load node j can provide to the safety load layer during a power outage; The economic load layer satisfaction is calculated according to the following formula: ； in, It represents the guaranteed supply demand level of the load power of the economic load layer of load node j, represents the power supply that the mobile energy storage device at load node j can provide for the economic load layer, It represents the power that the self-contained power supply of load node j can provide to the economic load layer during a power outage; The quality load layer satisfaction is calculated according to the following formula: ； in, It represents the supply demand level of the load power of the quality load layer of load node j, It represents the power supply that the mobile energy storage device of load node j can provide to the quality load layer, It represents the power that the self-contained power supply of load node j can provide to the quality load layer during a power outage.

8. A mobile energy storage configuration system for power distribution network supply guarantee, characterized in that: The system comprises: A travel time calculation module is used to obtain the equivalent section distance that the mobile energy storage device i needs to travel from the initial position to the load node k of the distribution network in the transportation network, and calculate the travel time based on the equivalent section distance; A first objective function construction module is used to obtain a power outage risk value of each node per unit time, to construct a first objective function according to the power outage risk value and the moving time, and to construct a maximum moving time constraint condition; A solution module, used for solving the first objective function and obtaining the number of selected sites for energy storage devices and the position of each selected site according to the solution result; The energy storage sizing model construction module is used to construct an energy storage sizing model for energy storage equipment at each site selection location, wherein the energy storage sizing model includes a second objective function with the goal of minimizing the total cost of mobile energy storage equipment, and constraints on the second objective function, wherein the constraints include mobile energy storage equipment constraints, mobile energy storage guaranteed power constraints, node power balance constraints, load power constraints, self-provided power supply constraints, and satisfaction constraints.

9. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by the processor, implement the mobile energy storage configuration method for distribution network supply guarantee as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, it implements the mobile energy storage configuration method for distribution network supply guarantee as described in any one of claims 1-7.

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