Energy storage configuration and operation optimization method, system and equipment in single-radiation power distribution network

Abstract

The invention belongs to the technical field of power distribution network maintenance, and particularly relates to an energy storage configuration and operation optimization method, system and equipment in a single-radiation power distribution network. A combined configuration and operation optimization model of the mobile energy storage vehicle and the electric maintenance vehicle with reverse power supporting capacity is constructed in two power supply interruption scenes of operation and maintenance and sudden failure, and a combined configuration and operation scheme is obtained by solving the model. The method not only considers the combined application of various mobile energy storage devices, but also considers the influence of power supply interruption in different scenes and different transformer areas; the configuration and operation of the two mobile energy storage facilities in different power supply interruption scenes are optimized by using the constructed model, and the power failure loss cost can be minimized while the coping capacity of the power distribution network to the power supply interruption scenes is ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of distribution network maintenance, and particularly relates to a method, a system and a device for energy storage configuration and operation optimization in a single-radiation distribution network. Background Art

[0002] With the development of society and the growth of economic activities, higher requirements are put forward for the reliability of power supply in various industries. However, the traditional operation mode of the distribution network is difficult to meet the increasingly complex modern requirements, and there are still technical and management bottlenecks in quickly restoring power supply in case of emergencies. Therefore, how to improve the reliability of the distribution network and shorten the power outage time has become an important direction for the operation optimization of the current power system.

[0003] As a flexible means of electric energy support, mobile energy storage devices play an important role in scenarios such as fault emergency response, load regulation, and new energy consumption in the distribution network. Their rapid deployment ability enables the power grid to quickly provide temporary power supply in case of a fault, reduce the power outage duration, and improve the power supply reliability. Compared with traditional backup power supply schemes, mobile energy storage has higher flexibility and scalability, providing a new solution for improving the intelligent response ability of the distribution network. For example, the invention patent with the application number 202211371413.1 provides a method and a system for non-stop power dispatching and maintenance of a low-voltage distribution network, formulating the shortest route plan for the maintenance vehicle and the power generation vehicle to reach the maintenance site, connecting the power generation vehicle to the distribution network, disconnecting the commercial power at the same time, supplying power to the load by the power generation vehicle, and the maintenance personnel performing maintenance on the distribution network. After the maintenance is completed, the power generation vehicle is disconnected and the commercial power is connected, so as to realize the non-stop power maintenance of the low-voltage distribution network. However, the adaptability of a single type of mobile energy storage device in practical applications is relatively limited and it is difficult to meet the diversified needs in complex scenarios. In addition, different application scenarios put forward different requirements for the dispatching of energy storage devices, and external factors such as transportation conditions, deployment methods, and environmental adaptability will also limit the practical application of energy storage devices. Therefore, there is an urgent need for a method that can combine multiple mobile energy storage devices, optimize the configuration and operation of mobile energy storage devices according to different scenarios, give full play to the advantages of mobile energy storage, improve the intelligent dispatching ability of the energy storage system, and thus minimize the system power outage loss. Summary of the Invention

[0004] The purpose of the invention is to provide a method, a system and a device for energy storage configuration and operation optimization in a single-radiation distribution network that consider the joint application of multiple mobile energy storage devices and different power supply interruption scenarios, ensure the power grid's ability to respond to power supply interruptions, and minimize the power outage loss cost while.

[0005] To achieve the above purpose, the technical solution of the invention is as follows:

[0006] In a first aspect, the present invention provides a method for optimizing the configuration and operation of energy storage in a single-radiation distribution network. The configuration and operation optimization method includes:

[0007] S1. Considering the bearing conditions of the configuration points of mobile energy storage facilities in the single-radiation distribution network, a joint configuration and operation optimization model of mobile energy storage vehicles and electric maintenance vehicles with reverse power support capabilities is constructed under two scenarios of distribution network operation and maintenance and sudden faults; the joint configuration and operation optimization model is constructed with the goal of minimizing the system power outage loss cost during the maintenance cycle, and the system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance;

[0008] S2. Solve the above joint configuration and operation optimization model to obtain the joint configuration and operation plan of mobile energy storage vehicles and electric maintenance vehicles.

[0009] The objective function of the joint configuration and operation optimization model is:

[0010]

[0011] In the above formula, is the power outage loss cost when a sudden fault occurs in distribution network substation area g; is the power outage loss cost when distribution network substation area g undergoes regular maintenance; τ g is the frequency of sudden faults occurring in distribution network substation area g within a maintenance cycle; is the maintenance duration when a sudden fault occurs in distribution network substation area g; is the maintenance duration when distribution network substation area g undergoes regular maintenance; is the driving time of maintenance personnel and mobile energy storage facilities from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; is the power support provided by the electric maintenance vehicle from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; is the power support provided by the mobile energy storage vehicle from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; RP S is the unit power outage loss cost.

[0012] The constraint conditions of the combined configuration and operation optimization model include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraint of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraint of mobile energy storage facility configuration points, the configuration quantity constraint of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraint of mobile energy storage, and the service coverage constraint of electric maintenance vehicles; the operation constraints include the power balance constraint during power supply interruption, the line capacity constraint of the distribution network, the output power constraint of mobile energy storage facilities, the access capacity constraint of the distribution transformer area for mobile energy storage facilities, the maintenance demand constraint of the distribution transformer area for electric maintenance vehicles, the depth of discharge constraint of mobile energy storage facilities, and the driving time consumption constraint of mobile energy storage facilities.

[0013] The total configuration quantity constraint of the mobile energy storage vehicle and the electric maintenance vehicle is:

[0014]

[0015]

[0016] In the above formula, are the configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; N TE 、N TF are the total configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0017] The quantity constraint of the mobile energy storage facility configuration points is:

[0018]

[0019] In the above formula, are the binary variables of the configuration points of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; L TE 、L TF are the total numbers of configuration points of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0020] The configuration quantity constraint of the mobile energy storage facilities within the configuration points is:

[0021]

[0022] In the above formula, N LE 、N LF are the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point respectively; δ M is a large M constant;

[0023] The charging load bearing capacity constraint of the mobile energy storage is:

[0024]

[0025] In the above formula, is the available capacity of the distribution transformer in the distribution network area e; P E , P F are the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle respectively; υ E , υ F are the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0026] The service coverage constraint of the electric maintenance vehicle is:

[0027]

[0028] In the above formula, is the average travel time from the distribution network area g to the area e; T FM is the maximum allowable time from the occurrence of the fault to the arrival of the electric maintenance vehicle; ε g,e is the service coverage binary variable of the electric maintenance vehicle;

[0029] The power balance constraint during power supply interruption is:

[0030]

[0031] In the above formula, is the basic load connected to the affected area i when the distribution network area g is powered off; is the load lost by the affected area i when a power supply interruption occurs in the distribution area g; is the power transmitted from the distribution network area j to the area i when a power supply interruption occurs in the distribution area g; is the power support provided by the electric maintenance vehicle going from the area e to the area i when a power supply interruption occurs in the distribution area g; is the power support provided by the mobile energy storage vehicle going from the area e to the area i when a power supply interruption occurs in the distribution area g; represents the connection status coefficient between the distribution network areas j and i when a power supply interruption occurs in the distribution area g;

[0032] The distribution network line capacity constraint is:

[0033]

[0034] In the above formula, is the capacity of the line between the distribution network areas i and j;

[0035] The output power constraint of the mobile energy storage facility is:

[0036]

[0037] In the above formula, The number of electric maintenance vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; The number of mobile energy storage vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; P SF The maximum output power when the electric maintenance vehicle performs reverse power support; P SE The maximum output power of the mobile energy storage vehicle;

[0038] The access capacity constraint of the substation area for the mobile energy storage facility is:

[0039]

[0040] In the above formula, The number of mobile energy storage interfaces of distribution network substation area i; The number of interfaces at distribution network substation area i where mobile energy storage vehicles can be accessed;

[0041] The maintenance demand constraint of the substation area for the electric maintenance vehicle is:

[0042]

[0043] In the above formula, The minimum number of electric maintenance vehicles that need to be dispatched when a power supply interruption occurs in substation area g;

[0044] The discharge depth constraint of the mobile energy storage facility is:

[0045]

[0046] In the above formula, I F 、I E are the maximum safe available power of the electric maintenance vehicle and the mobile energy storage vehicle respectively; The maintenance duration when a power supply interruption occurs in substation area g and it is in state x, where x = x1 represents the sudden failure maintenance state, and when x = x2 represents the regular maintenance state;

[0047] The driving time constraint of the mobile energy storage facility is:

[0048]

[0049] In the above formula, The driving time of the maintenance personnel and the mobile energy storage facility from distribution network substation area e to substation area i when a power supply interruption occurs in substation area g; The time taken to travel from distribution network substation area e to substation area i; ξ g,e,i is a binary variable of driving time.

[0050] In a second aspect, the present invention provides an energy storage configuration and operation optimization system for a single-radiation distribution network. The configuration and operation optimization system includes a model construction module and a simulation calculation module;

[0051] The model construction module is used to construct a joint configuration and operation optimization model of a mobile energy storage vehicle and an electric maintenance vehicle with reverse power support ability under two scenarios of distribution network operation and maintenance and sudden faults, considering the bearing conditions of the configuration points of mobile energy storage facilities in the single-radiation distribution network. The joint configuration and operation optimization model is constructed with the goal of minimizing the system power outage loss cost during the maintenance cycle. The system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance;

[0052] The simulation calculation module is used to solve the joint configuration and operation optimization model to obtain the joint configuration and operation plan of the mobile energy storage vehicle and the electric maintenance vehicle.

[0053] The objective function of the joint configuration and operation optimization model is:

[0054]

[0055] In the above formula, is the power outage loss cost when a sudden fault occurs in distribution network sub-region g; is the power outage loss cost when regular maintenance is carried out on distribution network sub-region g; τ g is the frequency of sudden faults occurring in distribution network sub-region g within a maintenance cycle; is the maintenance duration when a sudden fault occurs in distribution network sub-region g; is the maintenance duration when regular maintenance is carried out on distribution network sub-region g; is the driving time of the maintenance personnel and mobile energy storage facilities from sub-region e to sub-region g when a power supply interruption occurs in distribution network sub-region g; is the power support provided by the electric maintenance vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution network sub-region g; is the power support provided by the mobile energy storage vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution network sub-region g; RP S is the unit power outage loss cost.

[0056] The constraint conditions of the combined configuration and operation optimization model include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraints of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraints of mobile energy storage facility configuration points, the configuration quantity constraints of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraints of mobile energy storage, and the service coverage constraints of electric maintenance vehicles; the operation constraints include the power balance constraints during power outages, the distribution network line capacity constraints, the output power constraints of mobile energy storage facilities, the access capacity constraints of the substation area for mobile energy storage facilities, the maintenance demand constraints of the substation area for electric maintenance vehicles, the discharge depth constraints of mobile energy storage facilities, and the driving time consumption constraints of mobile energy storage facilities.

[0057] The total configuration quantity constraints of the mobile energy storage vehicle and the electric maintenance vehicle are:

[0058]

[0059] In the above formula, are the configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; N TE 、N TF are the total configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0060] The quantity constraints of the mobile energy storage facility configuration points are:

[0061]

[0062] In the above formula, are the binary variables of the configuration points of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; L TE 、L TF are the total numbers of configuration points of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0063] The configuration quantity constraints of the mobile energy storage facilities within the configuration points are:

[0064]

[0065] In the above formula, N LE 、N LF are the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point respectively; δ M is a large M constant;

[0066] The charging load bearing capacity constraints of mobile energy storage are:

[0067]

[0068] In the above formula, is the openable capacity of the distribution transformer of the distribution network substation area e; P E 、PF are the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle, respectively; υ E , υ F are the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle, respectively;

[0069] The service coverage range of the electric maintenance vehicle is constrained as:

[0070]

[0071] In the above formula, is the average travel time from distribution network substation area g to substation area e; T FM is the maximum allowable time from the occurrence of a fault to the arrival of the electric maintenance vehicle; ε g,e is the binary variable of the service coverage of the electric maintenance vehicle;

[0072] The power balance constraint during power supply interruption is:

[0073]

[0074]

[0075] In the above formula, is the basic load connected to substation area i affected by the power outage of distribution network substation area g; is the load loss of substation area i affected by the power supply interruption in distribution substation area g; is the power transmitted from distribution network substation area j to substation area i when a power supply interruption occurs in distribution substation area g; is the power support provided by the electric maintenance vehicle going from substation area e to substation area i when a power supply interruption occurs in distribution substation area g; is the power support provided by the mobile energy storage vehicle going from substation area e to substation area i when a power supply interruption occurs in distribution substation area g; represents the connection status coefficient between distribution network substation area j and substation area i when a power supply interruption occurs in distribution substation area g;

[0076] The distribution network line capacity constraint is:

[0077]

[0078] In the above formula, is the capacity of the line between distribution network substation areas i and j;

[0079] The output power constraint of the mobile energy storage facility is:

[0080]

[0081] In the above formula, The number of electric maintenance vehicles from substation area e to substation area i when there is a power supply interruption in substation area g; The number of mobile energy storage vehicles from substation area e to substation area i when there is a power supply interruption in substation area g; P SF The maximum output power when the electric maintenance vehicle performs reverse power support; P SE The maximum output power of the mobile energy storage vehicle;

[0082] The access capacity constraint of the substation area for mobile energy storage facilities is:

[0083]

[0084] In the above formula, The number of mobile energy storage interfaces of distribution network substation area i; The number of interfaces at distribution network substation area i where mobile energy storage vehicles can be accessed;

[0085] The maintenance demand constraint of the substation area for electric maintenance vehicles is:

[0086]

[0087] In the above formula, The minimum number of electric maintenance vehicles that need to be dispatched when there is a power supply interruption in substation area g;

[0088] The discharge depth constraint of the mobile energy storage facility is:

[0089]

[0090] In the above formula, I F 、I E The maximum safe available electricity of the electric maintenance vehicle and the mobile energy storage vehicle respectively; The maintenance duration when there is a power supply interruption in substation area g and it is in state x, where x = x1 represents the emergency fault maintenance state, and when x = x2 represents the regular maintenance state;

[0091] The travel time constraint of the mobile energy storage facility is:

[0092]

[0093] In the above formula, The travel time from distribution network substation area e to substation area i; ξ g,e,i The binary variable of travel time; The travel time from distribution network substation area e to substation area i; ξ g,e,i The binary variable of travel time.

[0094] In a third aspect, the present invention provides an energy storage configuration and operation optimization device in a single-radiation distribution network. The configuration and operation optimization device includes a memory and a processor; the memory is used to store computer program code and transmit the computer program code to the processor; the processor is used to execute the foregoing configuration and operation optimization method according to the instructions in the computer program code.

[0095] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the foregoing configuration and operation optimization method is implemented.

[0096] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0097] For the energy storage configuration and operation optimization method in the single-radiation distribution network of the present invention, considering the bearing conditions of the configuration points of mobile energy storage facilities in the single-radiation distribution network, with the goal of minimizing the system power outage loss cost during the maintenance period, a joint configuration and operation optimization model of a mobile energy storage vehicle and an electric maintenance vehicle with reverse power support ability is constructed under two power supply interruption scenarios of distribution network operation and maintenance and sudden faults. The system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance. By solving the above joint configuration and operation optimization model, a joint configuration and operation plan for the mobile energy storage vehicle and the electric maintenance vehicle is obtained; when constructing the joint configuration and operation optimization model, the above method not only considers the joint application of multiple types of mobile energy storage devices, but also considers the influence of different power supply interruption scenarios, different load scales in different substations, and different traffic time-consuming at different times; using the constructed joint configuration and operation optimization model to optimize the configuration and operation of the two mobile energy storage facilities in the distribution network operation and maintenance scenario and the sudden fault scenario can minimize the power outage loss cost while ensuring the ability of the distribution network to respond to power supply interruption scenarios. Therefore, the present invention can minimize the power outage loss cost while ensuring the ability of the distribution network to respond to power supply interruption. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] Figure 1 is a flowchart of the configuration and operation optimization method of the present invention.

[0099] Figure 2 is a system architecture diagram of the present invention facing a system including multiple types of mobile energy storage.

[0100] Figure 3 is a topological structure diagram of the single-radiation distribution network adopted in the numerical example of the present invention.

[0101] Figure 4 is a graph of the occurrence frequency of substation faults adopted in the numerical example of the present invention.

[0102] Figure 5This is the configuration node diagram of the mobile energy storage facility in the numerical example of the present invention.

[0103] Figure 6 This is the structural block diagram of the configuration and operation optimization system of the present invention.

[0104] Figure 7 This is the structural block diagram of the configuration and operation optimization device of the present invention. Detailed implementation manners

[0105] The present invention will be further described in detail below in conjunction with the detailed implementation manners and the accompanying drawings.

[0106] The system architecture of the present invention facing a system containing multiple types of mobile energy storage is as Figure 2 shown, which considers mobile energy storage vehicles, electric maintenance vehicles equipped with reverse power support interfaces, single-radiation distribution networks, and transportation networks. Mobile energy storage vehicles have a large capacity and strong power support capabilities, but their deployment and mobility are relatively poor; electric maintenance vehicles equipped with reverse power support interfaces are flexible in deployment and movement, and can carry maintenance personnel to the operation site together, but their power support capabilities are relatively weak. The present invention considers the bearing conditions of candidate mobile energy storage configuration points under normal operation modes, and optimizes the configuration and operation schemes of the two types of mobile energy storage facilities in the scenarios of distribution network operation and maintenance and sudden faults.

[0107] Example 1:

[0108] Refer to Figure 1 , a method for optimizing the configuration and operation of energy storage in a single-radiation distribution network, which is carried out in the following steps in sequence:

[0109] S1. Considering the bearing conditions of mobile energy storage facility configuration points in a single-radiation distribution network, with the goal of minimizing the system power outage loss cost during the maintenance period, a joint configuration and operation optimization model of mobile energy storage vehicles and electric maintenance vehicles with reverse power support capabilities is constructed under the two scenarios of distribution network operation and maintenance and sudden faults; the system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance; since usually only one regular maintenance is carried out in a single substation area within a maintenance period, and since the time of regular maintenance is controllable, maintenance personnel and mobile energy storage facilities can arrive at the destination in advance, so there will be no additional power outage loss due to going to the target substation area during regular maintenance; the joint configuration and operation optimization model includes an objective function and constraint conditions, and the objective function is:

[0110]

[0111] In the above formula, is the power outage loss cost when a sudden fault occurs in distribution network substation area g; is the power outage loss cost when regular maintenance is carried out in distribution network substation area g; τg is the frequency of sudden failures occurring in the distribution network substation area g within one maintenance cycle; is the maintenance duration when a sudden failure occurs in the distribution network substation area g; is the maintenance duration during regular maintenance of the distribution network substation area g; is the driving time of the maintenance personnel and mobile energy storage facilities from substation area e to substation area g when a power supply interruption occurs in substation area g; is the power support provided by the electric maintenance vehicle from substation area e to substation area g when a power supply interruption occurs in substation area g; is the power support provided by the mobile energy storage vehicle from substation area e to substation area g when a power supply interruption occurs in substation area g; RP S is the unit power outage loss cost;

[0112] The described constraint conditions include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraint of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraint of mobile energy storage facility configuration points, the configuration quantity constraint of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraint of mobile energy storage, and the service coverage range constraint of electric maintenance vehicles; the operation constraints include the power balance constraint during power supply interruption, the distribution network line capacity constraint, the output power constraint of mobile energy storage facilities, the access capacity constraint of the substation area for mobile energy storage facilities, the maintenance demand constraint of the substation area for electric maintenance vehicles, the discharge depth constraint of mobile energy storage facilities, and the driving time constraint of mobile energy storage facilities; the total configuration quantity constraint of mobile energy storage vehicles and electric maintenance vehicles is:

[0113]

[0114] In the above formula, are respectively the configuration quantities of mobile energy storage vehicles and electric maintenance vehicles at the distribution network substation area e; N TE 、N TF are respectively the total configuration quantities of mobile energy storage vehicles and electric maintenance vehicles;

[0115] The quantity constraint of mobile energy storage facility configuration points is:

[0116]

[0117]

[0118] In the above formula, are respectively the binary variables of the configuration points of mobile energy storage vehicles and electric maintenance vehicles at the distribution network substation area e. When the value is 1, it means there is a configuration at the substation area e, otherwise there is no configuration at the substation area e; L TE 、L TF are respectively the total numbers of configuration points of mobile energy storage vehicles and electric maintenance vehicles;

[0119] The constraint on the configuration quantity of the mobile energy storage facility within the configuration point is as follows:

[0120]

[0121] In the above formula, N LE and N LF are respectively the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point; δ M is the large M constant;

[0122] In order to enable the mobile energy storage facility to be put into use at any time and ensure that the mobile energy storage facility can obtain timely energy replenishment at the configuration point, it is necessary to constrain the configuration scale of the mobile energy storage according to the charging load bearing capacity of the configuration substation area; the constraint on the charging load bearing capacity of the mobile energy storage is as follows:

[0123]

[0124] In the above formula, is the openable capacity of the distribution transformer of the distribution network substation area e; P E and P F are respectively the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle; υ E and υ F are respectively the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle;

[0125] To ensure that when a failure occurs in any distribution network substation area, there is an electric maintenance vehicle that can travel to the area within the specified time, it is necessary to constrain the service coverage range of the electric maintenance vehicle; the constraint on the service coverage range of the electric maintenance vehicle is as follows:

[0126]

[0127] In the above formula, is the average travel time from the distribution network substation area g to the substation area e; T FM is the maximum specified duration from the occurrence of the failure to the arrival of the electric maintenance vehicle; ε g,e is the service coverage binary variable of the electric maintenance vehicle. When ε g,e = 1, the electric maintenance vehicle at the distribution network substation area e can arrive at the distribution network substation area g on time, otherwise it cannot;

[0128] When a power supply interruption occurs, the starting substation area and the subsequent substation areas form an island microgrid. Each substation area is interconnected and partially power support is provided by the mobile energy storage; the power balance constraint during the power supply interruption is as follows:

[0129]

[0130] In the above formula, is the basic load connected to substation area i affected by the power outage of distribution network substation area g; is the load loss of substation area i affected by the power outage of distribution substation area g; is the power transmitted from distribution network substation area j to substation area i when there is a power outage in distribution substation area g; is the power support provided by the electric maintenance vehicle from substation area e to substation area i when there is a power outage in distribution substation area g; is the power support provided by the mobile energy storage vehicle from substation area e to substation area i when there is a power outage in distribution substation area g; represents the connection status coefficient between distribution network substation area j and substation area i when there is a power outage in distribution substation area g;

[0131] The line capacity constraint of the distribution network is:

[0132]

[0133] In the above formula, is the capacity of the line between distribution network substations i and j;

[0134] The output power constraint of the mobile energy storage facility is:

[0135]

[0136] In the above formula, is the number of electric maintenance vehicles from substation area e to substation area i when there is a power outage in distribution substation area g; is the number of mobile energy storage vehicles from substation area e to substation area i when there is a power outage in distribution substation area g; P SF is the maximum output power when the electric maintenance vehicle provides reverse power support; P SE is the maximum output power of the mobile energy storage vehicle;

[0137] The access capacity constraint of the substation area for the mobile energy storage facility is:

[0138]

[0139] In the above formula, is the number of mobile energy storage interfaces of distribution network substation area i; is the number of interfaces at distribution network substation area i where mobile energy storage vehicles can be accessed;

[0140] The maintenance demand constraint of the substation area for the electric maintenance vehicle is:

[0141]

[0142] In the above formula, is the minimum number of electric maintenance vehicles that need to be dispatched when there is a power outage in distribution substation area g;

[0143] While providing power support for the power distribution area, it is necessary to ensure that the energy storage system is not in an over-discharged state to prevent equipment damage. Therefore, it is necessary to constrain the depth of discharge of the mobile energy storage facility. The depth of discharge constraint of the mobile energy storage facility is as follows:

[0144]

[0145] In the above formula, I F and I E are the maximum safe available power of the electric maintenance vehicle and the mobile energy storage vehicle respectively; is the maintenance duration when a power supply interruption occurs in distribution substation area g and it is in state x, where x = x1 represents the sudden failure maintenance state, and when x = x2 represents the regular maintenance state;

[0146] The driving time constraint of the mobile energy storage facility is as follows:

[0147]

[0148] In the above formula, is the driving time of the maintenance personnel and the mobile energy storage facility from distribution substation area e to substation area i when a power supply interruption occurs in distribution substation area g; is the driving time from distribution substation area e to substation area i; ξ g,e,i is a binary variable of driving time. When ξ g,e,i = 1, there is a mobile energy storage facility driving from distribution substation area e to substation area i, otherwise there is not;

[0149] Since there are bilinear terms in the model For the convenience of calculation, the model is reconstructed, and auxiliary variables and A g,e,i are introduced:

[0150]

[0151] And the McCormick envelope method is adopted to add the following constraints:

[0152]

[0153]

[0154] S2. Solve the above joint configuration and operation optimization model to obtain the joint configuration and operation plan of the mobile energy storage vehicle and the electric maintenance vehicle.

[0155] Performance verification:

[0156] Apply the configuration and operation optimization method proposed in the present invention (Method 1) and the configuration and operation optimization method that only uses mobile energy storage vehicles for power support (Method 2) to the case study respectively. The single-radiation distribution network topology structure used in the case study is as Figure 3 shown; the frequency of substation area faults is as Figure 4 shown; the configuration nodes of the mobile energy storage facilities when using Method 1 are as Figure 5 shown. The simulation calculation is carried out based on the MATLAB / CPLEX platform; the hardware device parameters are: Intel Core i7-9750H, 32GRAM, 2.6GHz; the simulation parameters: the unit power outage loss cost is 20 yuan per kilowatt-hour; the total configured numbers of mobile energy storage vehicles and electric maintenance vehicles are 5 and 15 respectively; the total numbers of configuration points of mobile energy storage vehicles and electric maintenance vehicles are 3 and 5 respectively; the minimum configured numbers of mobile energy storage vehicles and electric maintenance vehicles at each configuration point are 1 and 2 respectively; the rated charging powers of mobile energy storage vehicles and electric maintenance vehicles are 200 kilowatts and 30 kilowatts respectively; the charging simultaneity rates of mobile energy storage vehicles and electric maintenance vehicles are both 0.5; the maximum limited time from the occurrence of the fault to the arrival of the electric maintenance vehicle is 0.5 hours; the maximum output power of the electric maintenance vehicle when performing reverse power support is 60 kilowatts; the maximum output power of the mobile energy storage vehicle is 500 kilowatts; the maximum safe available electric quantities of the electric maintenance vehicle and the mobile energy storage vehicle are 80 kilowatt-hours and 600 kilowatt-hours respectively. The system power outage loss costs of the two methods are shown in Table 1:

[0157] Table 1 Comparison of System Power Outage Loss Costs

[0158]

[0159] As can be seen from Table 1, when using Method 1, the sudden fault power outage loss cost is reduced by 48.18% compared with using Method 2, and the regular maintenance power outage loss cost is reduced by 17.95%; in terms of the total power outage loss cost, when using Method 1, it is reduced by 30.45% compared with using Method 2. The above results show that the configuration and operation optimization method proposed in the present invention can achieve the effect of minimizing the power outage loss cost while ensuring the response ability of the distribution network to the temporary power supply interruption scenario.

[0160] Example 2:

[0161] See Figure 6, A system for optimizing the configuration and operation of energy storage in a single-radiation distribution network, including a model construction module and a simulation calculation module. The model construction module is used to consider the bearing conditions of the configuration points of mobile energy storage facilities in the single-radiation distribution network, and with the goal of minimizing the system power outage loss cost during the maintenance cycle, construct a joint configuration and operation optimization model of mobile energy storage vehicles and electric maintenance vehicles with reverse power support capabilities under two scenarios of distribution network operation and maintenance and sudden faults. The system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance; the joint configuration and operation optimization model includes an objective function and constraint conditions. The objective function is:

[0162]

[0163] In the above formula, is the power outage loss cost when a sudden fault occurs in distribution network substation area g; is the power outage loss cost when regular maintenance is carried out on distribution network substation area g; τ g is the frequency of sudden faults occurring in distribution network substation area g within a maintenance cycle; is the maintenance duration when a sudden fault occurs in distribution network substation area g; is the maintenance duration when regular maintenance is carried out on distribution network substation area g; is the driving time of the maintenance personnel and mobile energy storage facilities from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; is the power support provided by the electric maintenance vehicle from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; is the power support provided by the mobile energy storage vehicle from substation area e to substation area g when a power supply interruption occurs in distribution network substation area g; RP S is the unit power outage loss cost;

[0164] The constraint conditions include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraints of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraints of mobile energy storage facility configuration points, the configuration quantity constraints of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraints of mobile energy storage, and the service coverage constraints of electric maintenance vehicles; the operation constraints include the power balance constraints during power supply interruptions, the distribution network line capacity constraints, the output power constraints of mobile energy storage facilities, the access capacity constraints of substations for mobile energy storage facilities, the maintenance demand constraints of substations for electric maintenance vehicles, the depth of discharge constraints of mobile energy storage facilities, and the driving time constraints of mobile energy storage facilities; the total configuration quantity constraints of mobile energy storage vehicles and electric maintenance vehicles are:

[0165]

[0166] In the above formula, are the configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; N TE 、N TF are the total configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0167] The quantity constraint of the mobile energy storage facility configuration points is:

[0168]

[0169] In the above formula, are the binary variables of the configuration points of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; L TE 、L TF are the total numbers of the configuration points of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0170] The quantity constraint of the mobile energy storage facility configured within the configuration points is:

[0171]

[0172] In the above formula, N LE 、N LF are the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point respectively; δ M is the large M constant;

[0173] The mobile energy storage charging load bearing capacity constraint is:

[0174]

[0175] In the above formula, is the available capacity of the distribution transformer at the distribution network substation area e; P E 、P F are the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle respectively; υ E 、υ F are the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle respectively;

[0176] The service coverage range constraint of the electric maintenance vehicle is:

[0177]

[0178] In the above formula, is the average travel time from the distribution network substation area g to the substation area e; T FM is the maximum limited duration from the occurrence of the fault to the arrival of the electric maintenance vehicle; ε g,e is the service coverage binary variable of the electric maintenance vehicle;

[0179] The power balance constraint during power supply interruption is:

[0180]

[0181] In the above formula, is the basic load connected to substation area i affected by the power outage of distribution network substation area g; is the load loss of substation area i affected by the power supply interruption of distribution substation area g; is the power transmitted from distribution network substation area j to substation area i when there is a power supply interruption in distribution substation area g; is the power support provided by the electric maintenance vehicle going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; is the power support provided by the mobile energy storage vehicle going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; represents the connection status coefficient between distribution network substation area j and substation area i when there is a power supply interruption in distribution substation area g;

[0182] The line capacity constraint of the distribution network is:

[0183]

[0184] In the above formula, is the capacity of the line between distribution network substation areas i and j;

[0185] The output power constraint of the mobile energy storage facility is:

[0186]

[0187] In the above formula, is the number of electric maintenance vehicles going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; is the number of mobile energy storage vehicles going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; P SF is the maximum output power when the electric maintenance vehicle performs reverse power support; P SE is the maximum output power of the mobile energy storage vehicle;

[0188] The access capacity constraint of the substation area for the mobile energy storage facility is:

[0189]

[0190] In the above formula, is the number of mobile energy storage interfaces of distribution network substation area i; is the number of interfaces at distribution network substation area i where mobile energy storage vehicles can be accessed;

[0191] The maintenance demand constraint of the substation area for the electric maintenance vehicle is:

[0192]

[0193] In the above formula, is the minimum number of electric maintenance vehicles that need to be dispatched when a power supply interruption occurs in distribution substation area g;

[0194] The discharge depth constraint of the mobile energy storage facility is:

[0195]

[0196] In the above formula, I F and I E are the maximum safe available power of the electric maintenance vehicle and the mobile energy storage vehicle respectively; is the maintenance duration when a power supply interruption occurs in distribution substation area g and it is in state x, where x = x1 represents the sudden fault maintenance state, and when x = x2 represents the regular maintenance state;

[0197] The travel time constraint of the mobile energy storage facility is:

[0198]

[0199] In the above formula, is the travel time from distribution network substation area e to substation area i; ξ g,e,i is the binary variable of travel time; is the travel time from distribution network substation area e to substation area i; ξ g,e,i is the binary variable of travel time;

[0200] The simulation calculation module is used to solve the joint configuration and operation optimization model to obtain the joint configuration and operation plan of the mobile energy storage vehicle and the electric maintenance vehicle.

[0201] Example 3:

[0202] Refer to Figure 7 , an energy storage configuration and operation optimization device in a single-radiation distribution network, including a memory and a processor; the memory is used to store computer program code and transmit the computer program code to the processor; the processor is used to execute the configuration and operation optimization method described in Example 1 according to the instructions in the computer program code.

[0203] Example 4:

[0204] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the configuration and operation optimization method described in Example 1.

[0205] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0206] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0207] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0208] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Therefore, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0209] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still modifications or equivalent substitutions can be made to the specific implementation manners of the present invention, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. An energy storage configuration and operation optimization method for a single-radiation distribution network, characterized in that: The configuration and operation optimization method includes: S1. Considering the bearing conditions of the configuration points of mobile energy storage facilities in the single-radiation distribution network, a joint configuration and operation optimization model of mobile energy storage vehicles and electric maintenance vehicles with reverse power support capabilities is constructed under two scenarios of distribution network operation and maintenance and sudden faults; the joint configuration and operation optimization model is constructed with the goal of minimizing the system power outage loss cost within the maintenance cycle, and the system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance; S2. Solve the above joint configuration and operation optimization model to obtain the joint configuration and operation plan of mobile energy storage vehicles and electric maintenance vehicles.

2. The energy storage configuration and operation optimization method for a single-radiation distribution network according to claim 1, characterized in that: The objective function of the joint configuration and operation optimization model is: In the above formula, is the power outage loss cost when a sudden fault occurs in the distribution network sub-region g; is the power outage loss cost during the regular maintenance of the distribution network sub-region g; τ g is the frequency of sudden faults occurring in the distribution network sub-region g within a maintenance cycle; is the maintenance duration when a sudden fault occurs in the distribution network sub-region g; is the maintenance duration during the regular maintenance of the distribution network sub-region g; is the driving time of the maintenance personnel and mobile energy storage facilities from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; is the power support provided by the electric maintenance vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; is the power support provided by the mobile energy storage vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; is the load lost by the entire system when the distribution network sub-region g is powered off; RP S is the unit power outage loss cost.

3. The energy storage configuration and operation optimization method for a single-radiation distribution network according to claim 1 or 2, characterized in that: The constraint conditions of the joint configuration and operation optimization model include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraints of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraints of the configuration points of mobile energy storage facilities, the configuration quantity constraints of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraints of mobile energy storage, and the service coverage constraints of electric maintenance vehicles; the operation constraints include power balance constraints during power supply interruption, distribution network line capacity constraints, output power constraints of mobile energy storage facilities, access capacity constraints of the substation area for mobile energy storage facilities, maintenance demand constraints of the substation area for electric maintenance vehicles, discharge depth constraints of mobile energy storage facilities, and travel time constraints of mobile energy storage facilities.

4. The energy storage configuration and operation optimization method for a single-radiation distribution network according to claim 3, characterized in that: The total configuration quantity constraints of mobile energy storage vehicles and electric maintenance vehicles are: In the above formula, are the configuration quantities of mobile energy storage vehicles and electric maintenance vehicles at the distribution network substation area e respectively; N TE , N TF are the total configuration quantities of mobile energy storage vehicles and electric maintenance vehicles respectively; The quantity constraints of the configuration points of mobile energy storage facilities are: In the above formula, are the binary variables of the mobile energy storage vehicle and the electric maintenance vehicle at the configuration point e in the distribution network substation area; L TE , L TF are the total number of configuration points of the mobile energy storage vehicle and the electric maintenance vehicle respectively; The configuration quantity constraints of mobile energy storage facilities within the configuration points are: In the above formula, N LE , N LF are the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point respectively; δ M is the large M constant; The charging load bearing capacity constraints of mobile energy storage are: In the above formula, is the available capacity of the distribution transformer in the distribution network area e; P E , P F are the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle respectively; υ E , υ F are the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle respectively; The service coverage constraints of electric maintenance vehicles are: In the above formula, is the average travel time from distribution network substation area g to substation area e; T FM is the maximum allowable duration from the occurrence of the fault to the arrival of the electric maintenance vehicle; ε g,e is a binary variable for the service coverage of the electric maintenance vehicle; The power balance constraints during power supply interruption are: In the above formula, is the basic load connected to substation area i affected by the power outage of distribution network substation area g; is the load loss of substation area i affected by the power supply interruption of distribution substation area g; is the power transmitted from distribution network substation area j to substation area i when there is a power supply interruption in distribution substation area g; is the power support provided by the electric maintenance vehicle going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; is the power support provided by the mobile energy storage vehicle going from substation area e to substation area i when there is a power supply interruption in distribution substation area g; represents the connection status coefficient between distribution network substation area j and substation area i when there is a power supply interruption in distribution substation area g; The distribution network line capacity constraints are: In the above formula, is the capacity of the line between distribution network substations i and j; The output power constraints of mobile energy storage facilities are: In the above formula, is the number of electric maintenance vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; is the number of mobile energy storage vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; P SF is the maximum output power when the electric maintenance vehicle performs reverse power support; P SE is the maximum output power of the mobile energy storage vehicle; The access capacity constraints of the substation area for mobile energy storage facilities are: In the above formula, is the number of mobile energy storage interfaces of distribution network substation area i; is the number of interfaces at distribution network substation area i where mobile energy storage vehicles can be connected. The maintenance demand constraints of the substation area for electric maintenance vehicles are: In the above formula, is the minimum number of electric maintenance vehicles that need to be dispatched when a power supply interruption occurs in distribution transformer area g; The discharge depth constraints of mobile energy storage facilities are: In the above formula, I F and I E are respectively the maximum safe available power of the electric maintenance vehicle and the mobile energy storage vehicle; is the maintenance duration when a power supply interruption occurs in distribution substation area g and it is in state x, where x = x1 indicates the emergency fault maintenance state, and when x = x2, it indicates the regular maintenance state; The travel time constraints of mobile energy storage facilities are: In the above formula, is the travel time of the maintenance personnel and mobile energy storage facilities traveling from distribution network substation area e to substation area i when a power supply interruption occurs in substation area g; is the travel time from distribution network substation area e to substation area i; ξ g,e,i is a binary variable of travel time.

5. An energy storage configuration and operation optimization system for a single-radiation distribution network, characterized in that: The configuration and operation optimization system includes a model construction module and a simulation calculation module; The model construction module is used to construct a joint configuration and operation optimization model of mobile energy storage vehicles and electric maintenance vehicles with reverse power support capabilities under two scenarios of distribution network operation and maintenance and sudden faults, considering the bearing conditions of the mobile energy storage facility configuration points in the single-radiation distribution network; the joint configuration and operation optimization model is constructed with the goal of minimizing the system power outage loss cost during the maintenance cycle, and the system power outage loss cost includes the power outage loss caused by operation and maintenance and the power outage loss caused by regular maintenance; The simulation calculation module is used to solve the joint configuration and operation optimization model to obtain the joint configuration and operation plan of mobile energy storage vehicles and electric maintenance vehicles.

6. The energy storage configuration and operation optimization system in the single-radiation distribution network according to claim 5, characterized in that: The objective function of the joint configuration and operation optimization model is: In the above formula, is the power outage loss cost when a sudden fault occurs in the distribution network sub-region g; is the power outage loss cost during the regular maintenance of the distribution network sub-region g; τ g is the frequency of sudden faults occurring in the distribution network sub-region g within a maintenance cycle; is the maintenance duration when a sudden fault occurs in the distribution network sub-region g; is the maintenance duration during the regular maintenance of the distribution network sub-region g; is the driving time of the maintenance personnel and mobile energy storage facilities from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; is the power support provided by the electric maintenance vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; is the power support provided by the mobile energy storage vehicle from sub-region e to sub-region g when a power supply interruption occurs in distribution sub-region g; RP S is the unit power outage loss cost.

7. The energy storage configuration and operation optimization system in the single-radiation distribution network according to claim 5 or 6, characterized in that: The constraint conditions of the joint configuration and operation optimization model include configuration constraints and operation constraints; the configuration constraints include the total configuration quantity constraint of mobile energy storage vehicles and electric maintenance vehicles, the quantity constraint of mobile energy storage facility configuration points, the configuration quantity constraint of mobile energy storage facilities within the configuration points, the charging load bearing capacity constraint of mobile energy storage, and the service coverage constraint of electric maintenance vehicles; the operation constraints include the power balance constraint during power supply interruption, the distribution network line capacity constraint, the output power constraint of mobile energy storage facilities, the access capacity constraint of the substation area for mobile energy storage facilities, the maintenance demand constraint of the substation area for electric maintenance vehicles, the discharge depth constraint of mobile energy storage facilities, and the driving time constraint of mobile energy storage facilities.

8. The energy storage configuration and operation optimization system in the single-radiation distribution network according to claim 6, characterized in that: The total configuration quantity constraint of mobile energy storage vehicles and electric maintenance vehicles is: In the above formula, are the configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at the distribution network substation area e respectively; N TE , N TF are the total configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle respectively; The quantity constraint of mobile energy storage facility configuration points is: In the above formula, are binary variables at the configuration points of the mobile energy storage vehicle and the electric maintenance vehicle at the e location in the distribution network substation area; L TE , L TF are the total number of configuration points of the mobile energy storage vehicle and the electric maintenance vehicle respectively; The configuration quantity constraint of mobile energy storage facilities within the configuration points is: In the above formula, N LE and N LF are the minimum configuration quantities of the mobile energy storage vehicle and the electric maintenance vehicle at a single configuration point, respectively; δ M is the large M constant; The charging load bearing capacity constraint of mobile energy storage is: In the above formula, is the available capacity of the distribution transformer in the distribution network area e; P E and P F are the rated charging powers of the mobile energy storage vehicle and the electric maintenance vehicle respectively; υ E and υ F are the charging coincidence rates of the mobile energy storage vehicle and the electric maintenance vehicle respectively. The service coverage constraint of electric maintenance vehicles is: In the above formula, is the average passing time from distribution network substation area g to substation area e; T FM is the maximum limited duration from the occurrence of the fault to the arrival of the electric maintenance vehicle; ε g,e is a binary variable for the service coverage of the electric maintenance vehicle; The power balance constraint during power supply interruption is: In the above formula, is the basic load connected to substation area i affected by the power outage of distribution network substation area g; is the load loss of substation area i affected by the power outage of distribution substation area g; is the power transmitted from distribution network substation area j to substation area i when there is a power outage in distribution substation area g; is the power support provided by the electric maintenance vehicle going from substation area e to substation area i when there is a power outage in distribution substation area g; is the power support provided by the mobile energy storage vehicle going from substation area e to substation area i when there is a power outage in distribution substation area g; represents the connection status coefficient between distribution network substation area j and substation area i when there is a power outage in distribution substation area g; The distribution network line capacity constraint is: In the above formula, is the capacity of the line between distribution network substations i and j; The output power constraint of mobile energy storage facilities is: In the above formula, is the number of electric maintenance vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; is the number of mobile energy storage vehicles from substation area e to substation area i when a power supply interruption occurs in substation area g; P SF is the maximum output power when the electric maintenance vehicle performs reverse power support; P SE is the maximum output power of the mobile energy storage vehicle; The access capacity constraint of the substation area for mobile energy storage facilities is: In the above formula, is the number of mobile energy storage interfaces in distribution network substation area i; is the number of interfaces in distribution network substation area i that have the condition to access mobile energy storage vehicles; The maintenance demand constraint of the substation area for electric maintenance vehicles is: In the above formula, is the minimum number of electric maintenance vehicles that need to be dispatched when a power supply interruption occurs in distribution transformer area g; The discharge depth constraint of mobile energy storage facilities is: In the above formula, I F and I E are the maximum safe available power of the electric maintenance vehicle and the mobile energy storage vehicle respectively; is the maintenance duration when a power supply interruption occurs in distribution substation area g and it is in state x. When x = x1, it indicates the emergency fault maintenance state, and when x = x2, it indicates the regular maintenance state; The driving time constraint of mobile energy storage facilities is: In the above formula, is the time taken to travel from distribution network substation area e to substation area i; ξ g,e,i is a binary variable for travel time; is the time taken to travel from distribution network substation area e to substation area i; ξ g,e,i is a binary variable for travel time.

9. The energy storage configuration and operation optimization equipment in the single-radiation distribution network, characterized in that: The configuration and operation optimization equipment includes a memory and a processor; the memory is used to store computer program code and transmit the computer program code to the processor; The processor is used to execute the configuration and operation optimization method according to claims 1-4 according to the instructions in the computer program code.

10. A computer-readable storage medium, characterized in that: A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the configuration and operation optimization method as described in claims 1-4.

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