Power distribution network fault first-aid repair method, device and system and network equipment

Abstract

The invention provides a power distribution network fault first-aid repair method, device and system and network equipment, and belongs to the technical field of emergency power supply. The method comprises the following steps: receiving state information sent by a plurality of vehicle-mounted terminals; determining the arrival time of each emergency power supply vehicle to the fault position based on the fault position and the vehicle position of each emergency power supply vehicle; determining decision variables based on the fault type, the fault first-aid repair time, the arrival time, the energy storage capacity and the electric energy demand; based on the decision variable, the arrival time and the fault first-aid repair time, constructing an objective function representing the minimum power failure time of the fault point; and solving the target function, and determining a target emergency power supply vehicle dispatched to the fault point based on a solving result so as to carry out power distribution network fault repair. According to the invention, the defects that the existing scheme is one-way fixed-point dispatching, the multi-area cooperative control capability is poor, and the dispatching flexibility is insufficient in the face of complex fault types and emergency repair time conditions are overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency power supply, and specifically relates to a method for repairing a distribution network fault, a device for repairing a distribution network fault, a network device, a system for repairing a distribution network fault, a machine-readable storage medium, and a computer program product. Background Art

[0002] An emergency power supply vehicle is a mobile emergency power supply integrating various communication devices and systems, which has the characteristics of strong mobility, stable and reliable overall performance, and good maintainability, and can well meet the needs of outdoor operations and emergency power supply. With the development of China's economy, the requirement for the reliability of urban power supply is getting higher and higher, and the demand for power emergency supply vehicles for various accidents is also increasing. Especially in recent years, the climate has been abnormally changeable, and snow disasters and earthquakes occur frequently. The use of power emergency supply vehicles has become an important means to ensure the reliable operation of the distribution network of power supply systems at all levels. Therefore, the operation quality and reliability of power emergency supply vehicles are extremely important.

[0003] The existing dispatch of emergency power supply vehicles is often one-way fixed-point dispatch, with poor multi-region collaborative control ability, and insufficient dispatch flexibility when facing complex fault types and repair times. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a method, device, system, and network device for repairing a distribution network fault, so as to solve the defects that the existing dispatch of emergency power supply vehicles is often one-way fixed-point dispatch, with poor multi-region collaborative control ability, and insufficient dispatch flexibility when facing complex fault types and repair time conditions.

[0005] To achieve the above purpose, the embodiments of the present invention provide a method for repairing a distribution network fault, which is applied to a network device, and the method includes:

[0006] Obtain the fault location, power demand, fault repair time, and fault type of the fault point;

[0007] Send a status information reading instruction to multiple vehicle-mounted terminals;

[0008] Receive the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle position and energy storage capacity of the emergency power supply vehicle;

[0009] Based on the fault location and the vehicle position of each emergency power supply vehicle, determine the arrival time of each emergency power supply vehicle at the fault location;

[0010] Based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand, determine a decision variable;

[0011] Construct an objective function that characterizes the minimized power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time;

[0012] Solve the objective function, and determine the target emergency power vehicle dispatched to the fault point based on the solution result for power distribution network fault repair.

[0013] Optionally, the determining the arrival time of each emergency power vehicle to the fault location based on the fault location and the vehicle location of each emergency power vehicle includes:

[0014] Construct an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle within a set area to a set fault point; the set fault point is any fault point within the set area;

[0015] Based on the equivalent path matrix, the fault location, and the vehicle location of each emergency power vehicle, determine the equivalent path distance value from each emergency power vehicle to the fault location;

[0016] Based on the equivalent path distance value and the average speed of the emergency power vehicle, determine the arrival time of each emergency power vehicle to the fault location.

[0017] Optionally, the determining the arrival time of each emergency power vehicle to the fault location based on the equivalent path distance value and the average speed of the emergency power vehicle includes:

[0018] Based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment, determine the arrival time of each emergency power vehicle to the fault location.

[0019] Optionally, the determining the decision variable based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand includes:

[0020] When the fault type is a known fault type, determine the decision variable based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand;

[0021] When the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determine the decision variables; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power supply vehicle to the fault point; when the first emergency power supply vehicle is at the set remaining power supply time threshold, the network device dispatches the second emergency power supply vehicle to the fault location, and the power restoration time of the second emergency power supply vehicle to the fault point is calculated based on the difference between the arrival time of the second emergency power supply vehicle at the fault location and the set remaining power supply time threshold.

[0022] Optionally, the decision variables include a first decision variable representing the dispatch result of the emergency power supply vehicle and a second decision variable representing the dispatch result of the second emergency power supply vehicle; when the fault type is a known fault type, based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes:

[0023] When the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determine that the first decision variable indicates dispatching the emergency power supply vehicle, and determine that the second decision variable indicates not dispatching the second emergency power supply vehicle;

[0024] When the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determine that the first decision variable indicates not dispatching the emergency power supply vehicle, and determine that the second decision variable indicates not dispatching the second emergency power supply vehicle.

[0025] Optionally, the decision variables include a first decision variable representing the dispatch result of the emergency power supply vehicle and a second decision variable representing the dispatch result of the second emergency power supply vehicle; when the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes:

[0026] When the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the minimum, determine that the first decision variable indicates dispatching the emergency power supply vehicle;

[0027] When the first decision variable indicates dispatching the emergency power supply vehicle, and the fault repair time is greater than the set time, determine that the second decision variable indicates dispatching the second emergency power supply vehicle.

[0028] Optionally, constructing an objective function for characterizing the minimized power outage time of the fault point based on the decision variable, the arrival time, and the fault repair time includes:

[0029] When the arrival time of the second emergency power supply vehicle at the fault location is greater than the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power restoration time of the second emergency power supply vehicle to the fault point;

[0030] When the arrival time of the second emergency power supply vehicle at the fault location is less than or equal to the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the arrival time, and the fault repair time.

[0031] On the other hand, an embodiment of the present invention further provides a distribution network fault repair device, including:

[0032] An acquisition module for acquiring the fault location, power demand, fault repair time, and fault type of the fault point;

[0033] A sending module for sending a status information reading instruction to multiple vehicle-mounted terminals;

[0034] A receiving module for receiving the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power supply vehicle;

[0035] A first determination module for determining the arrival time of each emergency power supply vehicle at the fault location based on the fault location and the vehicle location of each emergency power supply vehicle;

[0036] A second determination module for determining a decision variable based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand;

[0037] A construction module for constructing an objective function for characterizing the minimized power outage time of the fault point based on the decision variable, the arrival time, and the fault repair time;

[0038] A solution module for solving the objective function and determining a target emergency power supply vehicle dispatched to the fault point based on the solution result for distribution network fault repair.

[0039] Optionally, determining the arrival time of each emergency power supply vehicle at the fault location based on the fault location and the vehicle location of each emergency power supply vehicle includes:

[0040] Construct an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle within a set area to a set fault point; the set fault point is any fault point within the set area;

[0041] Based on the equivalent path matrix, the fault location, and the vehicle locations of each emergency power vehicle, determine the equivalent path distance values from each emergency power vehicle to the fault location;

[0042] Based on the equivalent path distance values and the average speed of the emergency power vehicle, determine the arrival time of each emergency power vehicle at the fault location.

[0043] Optionally, the determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance values and the average speed of the emergency power vehicle includes:

[0044] Based on the equivalent path distance values, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion level of the road at the current moment, determine the arrival time of each emergency power vehicle at the fault location.

[0045] Optionally, the determining the decision variable based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand includes:

[0046] When the fault type is a known fault type, based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand, determine the decision variable;

[0047] When the fault type is an unknown fault type, based on the comparison result between the fault repair time and a set time, and the comparison result between the energy storage capacity and the power demand, determine the decision variable; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power vehicle at the fault point; the network device dispatches the second emergency power vehicle to the fault location when the first emergency power vehicle is at the set remaining power supply time threshold, and the power restoration time of the second emergency power vehicle at the fault point is calculated based on the difference between the arrival time of the second emergency power vehicle at the fault location and the set remaining power supply time threshold.

[0048] Optionally, the decision variable includes a first decision variable representing the dispatch result of the emergency power vehicle and a second decision variable representing the dispatch result of the second emergency power vehicle; the determining the decision variable when the fault type is a known fault type, based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand, includes:

[0049] When the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determine that the first decision variable indicates dispatching an emergency power vehicle, and determine that the second decision variable indicates not dispatching a second emergency power vehicle;

[0050] When the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determine that the first decision variable indicates not dispatching an emergency power vehicle, and determine that the second decision variable indicates not dispatching a second emergency power vehicle.

[0051] Optionally, the decision variables include a first decision variable representing the dispatching result of the emergency power vehicle and a second decision variable representing the dispatching result of the second emergency power vehicle; when the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes:

[0052] When the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the minimum, determine that the first decision variable indicates dispatching an emergency power vehicle;

[0053] When the first decision variable indicates dispatching an emergency power vehicle, and the fault repair time is greater than the set time, determine that the second decision variable indicates dispatching a second emergency power vehicle.

[0054] Optionally, constructing an objective function representing the minimum power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time includes:

[0055] When the arrival time of the second emergency power vehicle at the fault location is greater than the set remaining power supply time threshold, construct the objective function based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power restoration time of the second emergency power vehicle to the fault point;

[0056] When the arrival time of the second emergency power vehicle at the fault location is less than or equal to the set remaining power supply time threshold, construct the objective function based on the first decision variable, the arrival time, and the fault repair time.

[0057] On the other hand, the present invention further provides a network device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned distribution network fault repair method is implemented.

[0058] On the other hand, the present invention further provides a distribution network fault repair system, including: the above-mentioned network device, and a plurality of emergency power supply vehicles communicatively connected to the above-mentioned network device; a vehicle-mounted terminal is arranged on each of the emergency power supply vehicles, and the vehicle-mounted terminal is used to read the vehicle position and energy storage capacity of the emergency power supply vehicle based on the status information reading instruction sent by the network device and send them to the network device.

[0059] On the other hand, the present invention further provides a machine-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned distribution network fault repair method is implemented.

[0060] On the other hand, the present invention further provides a computer program product, including a computer program. When the computer program is executed by a processor, the above-mentioned distribution network fault repair method is implemented.

[0061] Through the above technical solutions, the network device interacts with a plurality of vehicle-mounted terminals to receive the vehicle position and energy storage capacity of the emergency power supply vehicles sent by the plurality of vehicle-mounted terminals, and determines decision variables based on the fault type, fault repair time, arrival time, energy storage capacity, and power demand. Then, based on the decision variables, arrival time, and fault repair time, an objective function representing the minimum power outage time of the fault point is constructed; by solving the objective function, the distribution network fault repair is carried out. Therefore, in the embodiment of the present invention, the relevant data of the emergency power supply vehicle is interacted with a plurality of vehicle-mounted terminals to construct an objective function for minimizing the power outage time, improving the multi-region collaborative control ability, and determining decision variables and objective functions by considering various factors such as fault type and fault repair time, so as to improve the flexibility of dispatching emergency rescue vehicles in the face of complex fault types and repair times.

[0062] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The drawings are used to provide a further understanding of the embodiments of the present invention, and constitute a part of the specification. Together with the following specific implementation manners, they are used to explain the embodiments of the present invention, but do not constitute a limitation to the embodiments of the present invention. In the drawings:

[0064] Figure 1 is a schematic flowchart of the distribution network fault repair method provided by the present invention;

[0065] Figure 2It is a schematic structural diagram of the distribution network fault repair device provided by the present invention;

[0066] Figure 3 It is a schematic structural diagram of the network device provided by the present invention;

[0067] Figure 4 It is a schematic structural diagram of the distribution network fault repair system provided by the present invention;

[0068] Figure 5 It is a schematic structural diagram of the vehicle-mounted terminal of the emergency power supply vehicle provided by the present invention. Specific embodiments

[0069] The following will describe in detail the specific embodiments of the embodiments of the present invention with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention.

[0070] Method embodiments

[0071] Please refer to Figure 1 , the embodiments of the present invention provide a distribution network fault repair method, which is applied to a network device. The method includes:

[0072] Step 100, obtain the fault location, power demand, fault repair time, and fault type of the fault point.

[0073] The network device in the embodiments of the present invention can be various computing devices deployed in the cloud. For example, the network device can be a cloud master station, a cloud service platform (abbreviated as cloud platform), etc. The network device of the present invention will be described by taking the cloud master station as an example. When a fault occurs in the distribution network, the network device uses edge computing monitoring devices to obtain fault point information. The fault point information may include the fault location, power demand, fault repair time, and fault type of the fault point. In the distribution network, edge computing monitoring devices are usually used to monitor power distribution equipment and power distribution lines in real time. When a fault occurs in the distribution network, the edge computing monitoring devices can detect most of the fault points, fault repair times, and fault types in real time. A small part of the faults need to be inspected and investigated manually. When a fault occurs, the fault location of the fault area can be accurately obtained through the edge computing monitoring devices of the distribution network. The fault repair time refers to the time after the repair personnel arrive at the fault point and complete the repair after the fault occurs.

[0074] The power demand at the fault point refers to the amount of electrical energy required by the current faulty substation area, which can be predicted through historical load data. For example, the load prediction model of the fault point can be trained through the historical electricity consumption data of the substation area corresponding to the fault point and some characteristic parameters, such as weather, temperature, holidays, day or night, etc. The load prediction model can be constructed based on various machine learning models. For example, the load prediction model can be constructed based on machine learning models such as convolutional neural networks and long short-term memory networks. After the load prediction model of the fault point is trained, using the historical electricity consumption data of the substation area and some current real-time characteristic parameters, such as weather, temperature, holidays, day or night, etc., the method of using the load prediction model for load prediction can obtain the next electricity consumption situation of the substation area, that is, obtain the power demand at the fault point.

[0075] Step 200: Send a status information reading instruction to multiple vehicle-mounted terminals.

[0076] In the embodiment of the present invention, information interaction between the cloud master station and multiple vehicle-mounted terminals can be carried out through 4G, 5G or Beidou communication methods. Each emergency power supply vehicle includes a vehicle-mounted terminal. The cloud master station sends a status information reading instruction to multiple vehicle-mounted terminals. Each emergency power supply vehicle uploads its own status information, including but not limited to vehicle location, energy storage capacity, etc., to the cloud master station through the vehicle-mounted terminal.

[0077] Step 300: Receive the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power supply vehicle.

[0078] The cloud master station receives the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power supply vehicle.

[0079] Step 400: Based on the fault location and the vehicle location of each emergency power supply vehicle, determine the arrival time of each emergency power supply vehicle at the fault location.

[0080] The cloud master station determines the arrival time of each emergency power supply vehicle at the fault location based on the fault location and the vehicle location of each emergency power supply vehicle. Emergency power supply vehicles are usually distributed at various fixed standby locations (or called emergency points), or are working at some fault points. When a fault occurs, it is first necessary to calculate the time required for the emergency power supply vehicle to reach the fault point. Each element in the power grid has a corresponding geographical location in the actual traffic network. To ensure the authenticity and timeliness of the dispatch of emergency power supply vehicles, the embodiment of the present invention proposes the concept of equivalent path. The embodiment of the present invention uses the equivalent path to calculate the time for the emergency power supply vehicle to reach the fault point. In some embodiments, Step 400: Based on the fault location and the vehicle location of each emergency power supply vehicle, determine the arrival time of each emergency power supply vehicle at the fault location, includes:

[0081] Step 410: Construct an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle in the set area to the set fault point; the set fault point is any fault point in the set area.

[0082] Step 420: Based on the equivalent path matrix, the fault location, and the vehicle positions of each emergency power vehicle, determine the equivalent path distance value from each emergency power vehicle to the fault location.

[0083] Step 430: Based on the equivalent path distance value and the average speed of the emergency power vehicle, determine the arrival time of each emergency power vehicle at the fault location.

[0084] In the embodiment of the present invention, considering that the vehicle speed of the emergency power vehicle is constant, the equivalent path length of the road under the influence of real-time traffic conditions is considered. For the emergency power vehicles distributed at each emergency point, an equivalent path matrix L is constructed, and its expression is as follows:

[0085]

[0086] Among them, the equivalent path matrix L is an n×m matrix, n is the number of emergency points in the set area (such as a traffic network), and m is the number of fault points occurring in the power grid. For any l ij represents the equivalent path distance value passed by the emergency power vehicle located at the emergency point numbered i when driving to the fault point numbered j, that is, the product of the time actually required for the emergency power vehicle to pass through this path and the average speed of the emergency power vehicle when the road is unobstructed. Its calculation formula is as follows:

[0087] l ij =T ij,t ×V m ; Formula (2)

[0088] Among them, T ij,t is the time actually required for the emergency power vehicle to pass through the road ij at time t, that is, the arrival time of each emergency power vehicle at the fault location; V m is the average speed of the emergency power vehicle when the road is unobstructed. In the embodiment of the present invention, based on the fault location and the vehicle positions of each emergency power vehicle, the equivalent path distance value of each emergency power vehicle from the fault location in the equivalent path matrix L is queried. Then, based on the ratio of the equivalent path distance value to the average speed of the emergency power vehicle, the arrival time of each emergency power vehicle at the fault location can be obtained.

[0089] In some other embodiments, step 430, determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance value and the average speed of the emergency power vehicle, includes: determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment.

[0090] To more accurately determine the arrival time of each emergency power vehicle at the fault location. In one embodiment, the traffic volume of the road and the congestion degree of the road can be introduced to calculate the arrival time of each emergency power vehicle at the fault location. That is, based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment, determine the arrival time of each emergency power vehicle at the fault location, which is specifically represented by the following formula:

[0091]

[0092] where l ij is the equivalent path distance value of road ij, Q ij,t is the traffic volume of road ij at time t, K ij,t is the congestion degree of the road at time t, and its empirical formula is as follows:

[0093]

[0094] where μ1 and μ2 are the influence coefficients of pedestrians and lane width respectively, n is the number of lanes, D is the average vehicle length, and D0 is the average blocking vehicle distance.

[0095] By calculating through the above formulas (3) and (4) and introducing the traffic volume of the road and the congestion degree of the road to calculate the arrival time of each emergency power vehicle at the fault location, by considering the traffic volume of the road and the congestion degree of the road, the calculation accuracy of the arrival time of each emergency power vehicle at the fault location is improved.

[0096] Step 500, determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand.

[0097] The decision variables include a first decision variable indicating whether to dispatch an emergency power vehicle and a second decision variable indicating whether to dispatch a second emergency power vehicle. In one embodiment, step 500, determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand, includes:

[0098] When the fault type is a known fault type, decision variables are determined based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand; when the fault type is an unknown fault type, decision variables are determined based on the comparison result between the fault repair time and a set time, and the comparison result between the energy storage capacity and the power demand; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power supply vehicle to the fault point; when the first emergency power supply vehicle is at the set remaining power supply time threshold of electric energy, the network device dispatches the second emergency power supply vehicle to the fault location, and the power restoration time of the second emergency power supply vehicle to the fault point is calculated based on the difference between the arrival time of the second emergency power supply vehicle at the fault location and the set remaining power supply time threshold.

[0099] Among them, when the fault type is a known fault type, determining decision variables based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand includes: when the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determining that the first decision variable indicates dispatching an emergency power supply vehicle, and determining that the second decision variable indicates not dispatching the second emergency power supply vehicle; when the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determining that the first decision variable indicates not dispatching an emergency power supply vehicle, and determining that the second decision variable indicates not dispatching the second emergency power supply vehicle.

[0100] The embodiments of the present invention define variables as follows:

[0101] t r : The time after the fault occurs until the repair personnel arrive at the fault point and complete the repair, that is, the fault repair time;

[0102] t a : The time when the emergency power supply vehicle arrives at the fault point;

[0103] t b : The time when the second emergency power supply vehicle arrives at the fault point;

[0104] E d : The power demand of the current fault area, predicted through historical load data.

[0105] E c : The energy storage capacity of the emergency power supply vehicle;

[0106] x: The first decision variable, indicating whether to dispatch an emergency power vehicle. x = 1 means dispatching an emergency power vehicle; x = 0 means not dispatching an emergency power vehicle.

[0107] y: The second decision variable, indicating whether to dispatch a second emergency power vehicle. y = 1 means dispatching a second emergency power vehicle; y = 0 means not dispatching a second emergency power vehicle.

[0108] If the fault type is a known fault type, and the fault repair time is less than the arrival time of the emergency power vehicle and / or the energy storage capacity is greater than or equal to the power demand, i.e., t r <t a and / or E c <E d , in this case, there is no need to dispatch an emergency power vehicle. If the fault type is a known fault type, but the fault repair time is greater than the arrival time of the emergency power vehicle, and the energy storage capacity is greater than or equal to the power demand, i.e., t r >t a and E c ≥E d , in this case, dispatch the emergency power vehicle that meets the power demand and arrives first. The formula is as follows:

[0109]

[0110] At this time, the second decision variable y = 0.

[0111] In the case where the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determine the decision variable, including: when the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the smallest, determine that the first decision variable indicates dispatching an emergency power vehicle; when the first decision variable indicates dispatching an emergency power vehicle, and the fault repair time is greater than the set time, determine that the second decision variable indicates dispatching a second emergency power vehicle.

[0112] If the fault type is an unknown fault type, when the fault occurs, dispatch the emergency power vehicle that meets the power demand and arrives first. If the first emergency power vehicle can only support the power supply for the last 1 hour and the repair has not been completed yet, then dispatch a second emergency power vehicle to supply power in relay. The expression is as follows:

[0113]

[0114] Among them, t b-1 represents the difference between the arrival time of the second emergency power supply vehicle at the fault location and the set remaining power supply time threshold, that is, it represents the time for the second emergency power supply vehicle to restore power supply to the fault point. It should be noted that the set remaining power supply time threshold can also be other times, such as 2 hours, 3 hours, etc., which can be specifically set according to the actual situation.

[0115] Step 600: Based on the decision variable, the arrival time, and the fault repair time, construct an objective function that represents the minimized power outage time of the fault point.

[0116] The objective of the emergency power supply vehicle dispatching in the embodiment of the present invention is to minimize the power outage time (or power interruption time) of the fault point, and at the same time optimize the dispatching efficiency of the emergency power supply vehicle. In one embodiment, the constructing an objective function that represents the minimized power outage time of the fault point based on the decision variable, the arrival time, and the fault repair time includes:

[0117] When the arrival time of the second emergency power supply vehicle at the fault location is greater than the set remaining power supply time threshold, based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power restoration time of the second emergency power supply vehicle to the fault point, construct the objective function;

[0118] When the arrival time of the second emergency power supply vehicle at the fault location is less than or equal to the set remaining power supply time threshold, based on the first decision variable, the arrival time, and the fault repair time, construct the objective function.

[0119] Specifically, the objective function min Z can be expressed as:

[0120]

[0121] As can be seen from formula (8), if no emergency power supply vehicle is dispatched (x = 0, y = 0), the power outage time is the fault repair time t r ; if one emergency power supply vehicle is dispatched (x = 1, y = 0), the power outage time is the time t when the emergency power supply vehicle arrives at the fault point a ; if the second emergency power supply vehicle needs to be dispatched (x = 1, y = 1), the power outage time increases by t b -1 (the power restoration time of the second emergency power supply vehicle to the fault point).

[0122] Step 700: Solve the objective function, and based on the solution result, determine the target emergency power supply vehicle dispatched to the fault point for power distribution network fault repair.

[0123] In the embodiments of the present invention, considering that the number and capacity of emergency power supply vehicles are limited during the emergency repair of distribution network faults, it is necessary to scientifically and reasonably allocate emergency power supply vehicles during the fault repair process, so as to minimize the losses caused by power outages. Therefore, the present invention establishes an emergency power supply vehicle scheduling model with the minimum power outage time at the fault point as the objective function.

[0124] The cloud master station can solve the objective function through methods such as linear programming method and genetic algorithm, and determine the target emergency power supply vehicle dispatched to the fault point based on the solution result, so as to specify the target emergency power supply for the emergency repair of the distribution network fault.

[0125] The cloud master station interacts with multiple vehicle-mounted terminals to receive the vehicle positions and energy storage capacities of the emergency power supply vehicles sent by the multiple vehicle-mounted terminals, determines decision variables based on the fault type, fault repair time, arrival time, energy storage capacity, and power demand, and then constructs an objective function representing the minimum power outage time at the fault point based on the decision variables, arrival time, and fault repair time; by solving the objective function, the emergency repair of the distribution network fault is carried out. Therefore, the embodiments of the present invention construct an objective function for minimizing the power outage time by interacting with multiple vehicle-mounted terminals for relevant data of the emergency power supply vehicles, improve the multi-region collaborative control ability, and determine decision variables and the objective function by considering various factors such as fault type and fault repair time, so as to improve the flexibility of dispatching emergency rescue vehicles in the face of complex fault types and repair times.

[0126] In a demonstration embodiment, the embodiments of the present invention also provide a method for emergency repair of distribution network faults, including:

[0127] Step 1: When a fault occurs in the distribution network, the cloud master station uses edge computing monitoring equipment to obtain fault point information, including fault location, fault type, etc.

[0128] Step 2: The cloud master station issues a status information reading command, and each emergency power supply vehicle uploads its own status information, including but not limited to vehicle position, energy storage situation, etc., to the cloud master station through the vehicle-mounted terminal.

[0129] Step 3: Use the historical load data of the fault point to obtain the power demand required by the current fault area, screen the emergency power supply vehicles that meet the power supply requirements, and calculate the time for the emergency power supply vehicle to reach the fault point using the equivalent path matrix mentioned in the embodiments of the present invention.

[0130] Step 4: Complete the dispatch of the emergency power supply vehicle through the above-mentioned objective function (or the emergency power supply vehicle scheduling model) including decision variables until the repair is completed.

[0131] The method for emergency repair of distribution network faults in the embodiments of the present invention has the following advantages:

[0132] 1. Introduce the concept of the equivalent path matrix, introduce the actual traffic network into the dispatch model, and ensure the authenticity and timeliness of the emergency power vehicle dispatch.

[0133] 2. The emergency power vehicle scheduling model proposed by the present invention aims at the minimum power outage time, uses edge computing monitoring devices to obtain data such as the fault location and fault type of the fault point, and thus obtains the corresponding dispatch method, which can minimize the dispatch cost and meet the power supply demand under different fault types and fault repair time conditions.

[0134] Device Embodiment

[0135] Please refer to Figure 2 On the other hand, an embodiment of the present invention further provides a distribution network fault repair device, including:

[0136] An acquisition module 201, which acquires the fault location, power demand, fault repair time, and fault type of the fault point by the user;

[0137] A sending module 202, which is used to send a status information reading instruction to a plurality of vehicle-mounted terminals;

[0138] A receiving module 203, which is used to receive the status information sent by the plurality of vehicle-mounted terminals, and the status information includes the vehicle position and energy storage capacity of the emergency power vehicle;

[0139] A first determination module 204, which is used to determine the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle position of each emergency power vehicle;

[0140] A second determination module 205, which is used to determine decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand;

[0141] A construction module 206, which is used to construct an objective function representing the minimum power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time;

[0142] A solving module 207, which is used to solve the objective function, and determine the target emergency power vehicle dispatched to the fault point based on the solution result for distribution network fault repair.

[0143] Optionally, the determining the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle position of each emergency power vehicle includes:

[0144] Construct an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle in the set area to the set fault point; the set fault point is any fault point in the set area;

[0145] Based on the equivalent path matrix, the fault location, and the vehicle positions of each emergency power vehicle, determine the equivalent path distance value from each emergency power vehicle to the fault location;

[0146] Based on the equivalent path distance value and the average speed of the emergency power vehicle, determine the arrival time of each emergency power vehicle at the fault location.

[0147] Optionally, the determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance value and the average speed of the emergency power vehicle includes:

[0148] Based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment, determine the arrival time of each emergency power vehicle at the fault location.

[0149] Optionally, the determining the decision variable based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand includes:

[0150] In the case where the fault type is a known fault type, determine the decision variable based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand;

[0151] In the case where the fault type is an unknown fault type, determine the decision variable based on the comparison result between the fault repair time and a set time, and the comparison result between the energy storage capacity and the power demand; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power vehicle at the fault point; the network device dispatches the second emergency power vehicle to the fault location when the first emergency power vehicle is at the set remaining power supply time threshold energy, and the power restoration time of the second emergency power vehicle at the fault point is calculated based on the difference between the arrival time of the second emergency power vehicle at the fault location and the set remaining power supply time threshold.

[0152] Optionally, the decision variable includes a first decision variable representing the dispatch result of the emergency power vehicle and a second decision variable representing the dispatch result of the second emergency power vehicle; the determining the decision variable in the case where the fault type is a known fault type based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand includes:

[0153] When the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determine that the first decision variable indicates dispatching an emergency power vehicle, and determine that the second decision variable indicates not dispatching a second emergency power vehicle;

[0154] When the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determine that the first decision variable indicates not dispatching an emergency power vehicle, and determine that the second decision variable indicates not dispatching a second emergency power vehicle.

[0155] Optionally, the decision variables include a first decision variable representing the dispatching result of the emergency power vehicle and a second decision variable representing the dispatching result of the second emergency power vehicle; in the case where the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes:

[0156] When the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the minimum, determine that the first decision variable indicates dispatching an emergency power vehicle;

[0157] When the first decision variable indicates dispatching an emergency power vehicle, and the fault repair time is greater than the set time, determine that the second decision variable indicates dispatching a second emergency power vehicle.

[0158] Optionally, constructing an objective function representing the minimum power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time includes:

[0159] When the arrival time of the second emergency power vehicle at the fault location is greater than the set remaining power supply time threshold, construct the objective function based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power restoration time of the second emergency power vehicle to the fault point;

[0160] When the arrival time of the second emergency power vehicle at the fault location is less than or equal to the set remaining power supply time threshold, construct the objective function based on the first decision variable, the arrival time, and the fault repair time.

[0161] The distribution network fault repair device includes a processor and a memory. The above-mentioned acquisition module 201, sending module 202, receiving module 203, first determination module 204, second determination module 205, construction module 206, solution module 207, etc. are all stored in the memory as program units, and the processor executes the above program units stored in the memory to implement corresponding functions.

[0162] The processor contains a kernel, and the kernel retrieves the corresponding program units from the memory. One or more kernels can be set.

[0163] The memory may include non-permanent memory in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory includes at least one storage chip.

[0164] Figure 3 An example of the physical structure diagram of a network device is shown as Figure 3 As shown, the network device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 complete mutual communication through the communication bus 340. The processor 310 can call the logical instructions in the memory 330 to execute the distribution network fault repair method, and the method includes: obtaining the fault location, power demand, fault repair time, and fault type of the fault point; sending a status information reading instruction to multiple vehicle-mounted terminals; receiving the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power vehicle; based on the fault location and the vehicle location of each emergency power vehicle, determining the arrival time of each emergency power vehicle at the fault location; based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand, determining decision variables; based on the decision variables, the arrival time, and the fault repair time, constructing an objective function representing the minimum power outage time of the fault point; solving the objective function, and determining the target emergency power vehicle dispatched to the fault point based on the solution result to perform distribution network fault repair.

[0165] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0166] On the other hand, please refer to Figure 4 , the present invention also provides a distribution network fault repair system, including: the above-mentioned network device, and a plurality of emergency power supply vehicles communicatively connected to the above-mentioned network device; a vehicle-mounted terminal is provided on each of the emergency power supply vehicles, and the vehicle-mounted terminal is used to send the vehicle position and energy storage capacity of the emergency power supply vehicle to the network device based on the status information reading instruction sent by the network device. In other words, the distribution network fault repair system of the embodiments of the present invention mainly consists of a cloud master station and multiple emergency power supply vehicles. Each emergency power supply vehicle is equipped with a vehicle-mounted terminal. The cloud platform exchanges data with the vehicle-mounted terminal to obtain the status information of the emergency power supply vehicle and formulate and issue a distribution network fault repair strategy according to the distribution network fault situation.

[0167] The network device in the embodiments of the present invention can be various computing devices deployed in the cloud. For example, the network device can be a cloud master station, a cloud service platform (referred to as a cloud platform), etc. The vehicle-mounted terminal in the embodiments of the present invention is an electronic device equipped on an emergency power supply vehicle that can collect generator set information, vehicle position information, environmental temperature and humidity information, has a wireless communication function, and can send the above information to the master station system. Please refer to Figure 5 , the hardware composition of the vehicle-mounted terminal is as Figure 5 shown:

[0168] Environmental information acquisition module: Installed according to the monitored object, the sensor is installed inside the carriage, and the in-vehicle environmental information is collected through the sensor and the data is transmitted to the data acquisition and processing module.

[0169] Video information acquisition module: At least one camera is installed inside and outside the carriage respectively to collect the internal and external video information of the emergency power supply vehicle and transmit it to the data acquisition and processing module.

[0170] Data acquisition and processing module: Designed with a hardware platform and software APP, it supports in-situ data storage and edge computing analysis. Relevant functions are implemented in the form of application software, which can be flexibly expanded according to business requirements and is installed in the electrical control box.

[0171] Local operation terminal module: Module 1 interacts with the data acquisition and processing module via Bluetooth, supporting the display of local business data. The device is installed on the vehicle's central control side and has two usage modes: fixed use in the vehicle and manual handheld use after being removed. Module 2 interacts with the external network platform via 4G / 5G and Beidou communication, supporting remote unified scheduling functions. The device is installed on the vehicle's central control side and also has two usage modes: fixed use in the vehicle and manual handheld use after being removed.

[0172] In the embodiments of the present invention, a method for repairing distribution network faults based on an emergency power vehicle is first constructed, and the concept of an equivalent path matrix of the emergency power vehicle is proposed to ensure the authenticity and timeliness of the dispatch of the emergency power vehicle. An emergency power vehicle scheduling model is established with the minimum power outage time as the objective function, which can complete the optimal dispatch of the emergency power vehicle under different fault types and fault repair time conditions, so as to realize the real-time and efficient repair of distribution network faults and ensure the stability of the power system.

[0173] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a machine-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for repairing distribution network faults, which includes: obtaining the fault location, power demand, fault repair time, and fault type of the fault point; sending a status information reading instruction to multiple in-vehicle terminals; receiving the status information sent by the multiple in-vehicle terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power vehicle; determining the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle location of each emergency power vehicle; determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand; constructing an objective function representing the minimum power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time; solving the objective function, and determining the target emergency power vehicle dispatched to the fault point based on the solution result for repairing the distribution network fault.

[0174] In another aspect, the present invention also provides a machine-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is used to execute the method for repairing distribution network faults, and the method includes: obtaining the fault location, power demand, fault repair time, and fault type of the fault point; sending a status information reading instruction to multiple vehicle-mounted terminals; receiving the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power vehicle; based on the fault location and the vehicle location of each emergency power vehicle, determining the arrival time of each emergency power vehicle at the fault location; determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand; constructing an objective function representing the minimized power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time; solving the objective function, and determining the target emergency power vehicle dispatched to the fault point based on the solution result to perform distribution network fault repair.

[0175] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0176] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0177] 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 foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for emergency repair of distribution network faults, characterized in that, Applied to a network device, the method includes: Obtaining the fault location, power demand, fault repair time, and fault type of the fault point; Sending a status information reading instruction to multiple on-vehicle terminals; Receiving the status information sent by the multiple on-vehicle terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power vehicle; Based on the fault location and the vehicle location of each emergency power vehicle, determining the arrival time of each emergency power vehicle at the fault location; Determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand; Based on the decision variables, the arrival time, and the fault repair time, constructing an objective function representing the minimized power outage time of the fault point; Solving the objective function, and based on the solution result, determining the target emergency power vehicle dispatched to the fault point for power distribution network fault repair.

2. The method for emergency repair of distribution network faults according to claim 1, characterized in that The determining the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle location of each emergency power vehicle includes: Constructing an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle in a set area to a set fault point; the set fault point is any fault point in the set area; Based on the equivalent path matrix, the fault location, and the vehicle location of each emergency power vehicle, determining the equivalent path distance value from each emergency power vehicle to the fault location; Based on the equivalent path distance value and the average speed of the emergency power vehicle, determining the arrival time of each emergency power vehicle at the fault location.

3. The method for repairing distribution network faults according to claim 2, characterized in that, The determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance value and the average speed of the emergency power vehicle includes: Based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment, determining the arrival time of each emergency power vehicle at the fault location.

4. The method for emergency repair of distribution network faults according to claim 1, characterized in that, The determining decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand includes: When the fault type is a known fault type, determining decision variables based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand; When the fault type is an unknown fault type, determining decision variables based on the comparison result between the fault repair time and a set time, and the comparison result between the energy storage capacity and the power demand; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power vehicle to the fault point; the network device dispatches the second emergency power vehicle to the fault location when the first emergency power vehicle has a set remaining power supply time threshold of electric energy, and the power restoration time of the second emergency power vehicle to the fault point is calculated based on the difference between the arrival time of the second emergency power vehicle at the fault location and the set remaining power supply time threshold.

5. The method for emergency repair of distribution network faults according to claim 4, wherein, The decision variables include a first decision variable representing the dispatching result of the emergency power vehicle and a second decision variable representing the dispatching result of the second emergency power vehicle; When the fault type is a known fault type, based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes: When the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determining that the first decision variable indicates dispatching the emergency power vehicle, and determining that the second decision variable indicates not dispatching the second emergency power vehicle; When the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determining that the first decision variable indicates not dispatching the emergency power vehicle, and determining that the second decision variable indicates not dispatching the second emergency power vehicle.

6. The method for emergency repair of distribution network faults according to claim 4, wherein The decision variables include a first decision variable representing the dispatching result of the emergency power vehicle and a second decision variable representing the dispatching result of the second emergency power vehicle; When the fault type is an unknown fault type, based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand, determining the decision variables includes: When the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the minimum, determining that the first decision variable indicates dispatching the emergency power vehicle; When the first decision variable indicates dispatching the emergency power vehicle, and the fault repair time is greater than the set time, determining that the second decision variable indicates dispatching the second emergency power vehicle.

7. The method for emergency repair of distribution network faults according to claim 5 or 6, characterized in that, Based on the decision variables, the arrival time, and the fault repair time, constructing an objective function representing the minimized power outage time of the fault point includes: When the arrival time of the second emergency power vehicle at the fault location is greater than the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power restoration time of the second emergency power vehicle to the fault point; When the arrival time of the second emergency power vehicle at the fault location is less than or equal to the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the arrival time, and the fault repair time.

8. A distribution network fault repair device, characterized in that, Including: An acquisition module for acquiring the fault location, power demand, fault repair time, and fault type of the fault point by the user; A sending module for sending a status information reading instruction to multiple vehicle-mounted terminals; A receiving module for receiving the status information sent by the multiple vehicle-mounted terminals, where the status information includes the vehicle location and energy storage capacity of the emergency power vehicle; The first determination module is configured to determine the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle location of each emergency power vehicle; The second determination module is configured to determine decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand; The construction module is configured to construct an objective function characterizing the minimized power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time; The solution module is configured to solve the objective function and determine the target emergency power vehicle dispatched to the fault point based on the solution result for power distribution network fault repair.

9. The distribution network fault repair device according to claim 8, characterized in that, The determining the arrival time of each emergency power vehicle at the fault location based on the fault location and the vehicle location of each emergency power vehicle includes: Constructing an equivalent path matrix, where the equivalent path matrix includes the equivalent path distance values from each emergency power vehicle in the set area to the set fault point; the set fault point is any fault point in the set area; Based on the equivalent path matrix, the fault location, and the vehicle location of each emergency power vehicle, determining the equivalent path distance value from each emergency power vehicle to the fault location; Based on the equivalent path distance value and the average speed of the emergency power vehicle, determining the arrival time of each emergency power vehicle at the fault location.

10. The distribution network fault repair device according to claim 9, characterized in that, The determining the arrival time of each emergency power vehicle at the fault location based on the equivalent path distance value and the average speed of the emergency power vehicle includes: Based on the equivalent path distance value, the average speed of the emergency power vehicle, the traffic volume of the road at the current moment, and the congestion degree of the road at the current moment, determining the arrival time of each emergency power vehicle at the fault location.

11. The distribution network fault repair device according to claim 8, characterized in that, The determining the decision variables based on the fault type, the fault repair time, the arrival time, the energy storage capacity, and the power demand includes: In the case where the fault type is a known fault type, determining the decision variables based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand; In the case where the fault type is an unknown fault type, determining the decision variables based on the comparison result between the fault repair time and the set time, and the comparison result between the energy storage capacity and the power demand; the set time is calculated based on the sum of the arrival time and the power restoration time of the second emergency power vehicle to the fault point; the network device dispatches the second emergency power vehicle to the fault location when the first emergency power vehicle is at the set remaining power supply time threshold energy, and the power restoration time of the second emergency power vehicle to the fault point is calculated based on the difference between the arrival time of the second emergency power vehicle at the fault location and the set remaining power supply time threshold.

12. The distribution network fault repair device according to claim 11, wherein The decision variables include a first decision variable characterizing the dispatch result of the emergency power vehicle and a second decision variable characterizing the dispatch result of the second emergency power vehicle; When the fault type is a known fault type, determining decision variables based on the comparison result between the fault repair time and the arrival time, and the comparison result between the energy storage capacity and the power demand, includes: When the fault type is a known fault type, the fault repair time is greater than the arrival time, and the energy storage capacity is greater than or equal to the power demand, determining that the first decision variable indicates dispatching an emergency power vehicle, and determining that the second decision variable indicates not dispatching a second emergency power vehicle; When the fault type is a known fault type, and the fault repair time is less than or equal to the arrival time, and / or the energy storage capacity is less than the power demand, determining that the first decision variable indicates not dispatching an emergency power vehicle, and determining that the second decision variable indicates not dispatching a second emergency power vehicle.

13. The distribution network fault emergency repair device according to claim 11, characterized in that, The decision variables include a first decision variable representing the dispatching result of the emergency power vehicle and a second decision variable representing the dispatching result of the second emergency power vehicle; When the fault type is an unknown fault type, determining decision variables based on the comparison result between the fault repair time and a set time, and the comparison result between the energy storage capacity and the power demand, includes: When the fault type is an unknown fault type, the energy storage capacity is greater than or equal to the power demand, and the arrival time is the minimum, determining that the first decision variable indicates dispatching an emergency power vehicle; When the first decision variable indicates dispatching an emergency power vehicle, and the fault repair time is greater than the set time, determining that the second decision variable indicates dispatching a second emergency power vehicle.

14. The distribution network fault emergency repair device according to claim 12 or 13, characterized in that, Constructing an objective function representing the minimized power outage time of the fault point based on the decision variables, the arrival time, and the fault repair time, includes: When the arrival time of the second emergency power vehicle at the fault location is greater than the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the second decision variable, the arrival time, the fault repair time, and the power supply restoration time of the second emergency power vehicle to the fault point; When the arrival time of the second emergency power vehicle at the fault location is less than or equal to the set remaining power supply time threshold, constructing the objective function based on the first decision variable, the arrival time, and the fault repair time.

15. A network device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the distribution network fault repair method according to any one of claims 1 to 7.

16. A distribution network fault repair system, comprising: The network device according to claim 15, and a plurality of emergency power vehicles communicatively connected to the network device; An on-vehicle terminal is provided on each of the emergency power vehicles, and the on-vehicle terminal is configured to send the vehicle position and the energy storage capacity of the emergency power vehicle to the network device based on a status information reading instruction sent by the network device.

17. A machine-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the distribution network fault repair method according to any one of claims 1 to 7.

18. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the distribution network fault repair method described in any one of claims 1 to 7.

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