Power distribution network fault scene voltage active support regulation and control method considering energy storage type and diesel engine type emergency vehicles, equipment and medium

Abstract

The invention discloses a power distribution network fault scene voltage active support regulation and control method considering energy storage type and diesel engine type emergency vehicles, equipment and a medium, and belongs to the technical field of power electronic power system equipment. Solving the shortest feasible path distance of each node of the traffic network and path information corresponding to the shortest feasible path distance by using a Floyd algorithm; the method comprises the following steps: establishing a mathematical model of an energy storage type emergency vehicle and a mathematical model of a diesel engine type emergency vehicle based on the architecture of the energy storage type emergency vehicle and the diesel engine type emergency vehicle; constructing an energy storage type emergency vehicle and diesel engine type emergency vehicle scheduling model, determining an objective function and setting constraint conditions by combining the load supporting capacity and the operation economy under the fault working condition of the power distribution network; and solving the scheduling model by adopting a solver to obtain an energy storage type emergency vehicle and diesel engine type emergency vehicle scheduling strategy. According to the method, the dispatching positions and the output sizes of the energy storage type emergency vehicle and the diesel engine type emergency vehicle are optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power electronic power system equipment, in particular to a power distribution network fault scene voltage active support regulation method considering energy storage type and diesel generator type emergency vehicles, equipment and medium. BACKGROUND

[0002] With the frequent occurrence of extreme weather and natural disaster events such as typhoons, snowstorms and strong lightning, the impact on power system operation is increasingly serious. Such disasters are prone to cause serious faults such as feeder breakage and tower collapse in the power distribution network, and then cause large-scale power interruption events, causing great social inconvenience and economic loss. In order to improve the efficiency of post-disaster power restoration and ensure emergency power supply for important loads, many scholars have carried out in-depth research on the configuration and dispatching of emergency power supply resources. Among them, energy storage type emergency power supply vehicles have been widely used in post-disaster power supply guarantee of power distribution network due to their green and environmentally friendly, flexible dispatching and other characteristics.

[0003] Although the energy storage type emergency vehicle performs well in short-term support and flexible deployment, its charging speed is limited by current charging technology and mobile energy supply conditions, and it is difficult to recover in time after the energy is exhausted, which limits its effectiveness in continuous disaster or long-time island power supply scenarios. Therefore, in recent years, researchers have begun to focus on the strategy of coordinating and dispatching multiple emergency power supply resources. Among them, diesel generator type emergency vehicles have unique value in long-time power supply guarantee due to their self-contained fuel and sustainable power generation, and are particularly suitable for complementary support in scenarios where energy storage devices cannot be quickly replenished.

[0004] However, existing researches mostly focus on the independent dispatching of single type of emergency resources, ignoring the complementary characteristics and coordination potential between different types of resources. In the fault scenario of power distribution network, if the energy storage type emergency vehicle and the diesel generator type emergency vehicle are coordinated and dispatched, not only can the organic integration of energy rapid support and sustainable power supply be realized, but also the resource utilization efficiency and power supply reliability can be improved, further enhancing the post-disaster restoration capability of the power distribution system. Therefore, considering the need for coordinated dispatching of multiple emergency resources in the fault condition of power distribution network, the present application proposes a power distribution network fault scene voltage active support regulation method considering energy storage type and diesel generator type emergency vehicles. Based on considering the differences in characteristics of the two types of emergency resources, the method realizes the optimization and coordination of multiple dimensional elements such as time sequence operation, voltage and power support, dispatching path, so as to improve the emergency power supply capability of the power distribution network in disaster scenarios, reduce the system operation cost, and enhance the comprehensive resilience and restoration efficiency of the power distribution network. SUMMARY

[0005] In view of the above problems, the present application is proposed.

[0006] Therefore, the technical problem solved by this invention is: how to address the issue that existing research focuses on the independent scheduling of a single type of emergency resource, neglecting the complementary characteristics and synergistic potential between different types of resources.

[0007] To address the aforementioned technical problems, this invention provides the following technical solution: a method for active voltage support and regulation in distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles, comprising: constructing a road topology based on the coupling relationship between the actual transportation network and the distribution network; using the Floyd algorithm to solve for the shortest feasible path distance of each node in the transportation network and the path information corresponding to the shortest feasible path distance; establishing mathematical models for energy storage and diesel-powered emergency vehicles based on their architectures; constructing a scheduling model for energy storage and diesel-powered emergency vehicles, determining the objective function and setting constraints by combining the load support capacity and operational economy under distribution network fault conditions; and using a solver to solve the scheduling model to obtain the scheduling strategy for energy storage and diesel-powered emergency vehicles.

[0008] As a preferred embodiment of the active voltage support regulation method for distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles described in this invention, wherein: the construction of the road topology based on the coupling relationship between the actual traffic network and the distribution network includes, for those containing For a distribution network with multiple nodes, a road topology adjacency matrix is ​​introduced to describe the distances between roads and each traffic network node coupled to the distribution network. The distribution network corresponding to each node A transportation network with nodes is represented as: in, This is the road topology adjacency matrix. For nodes With nodes The distance between the roads, The total number of nodes. For node indexing, For nodes Coupled node indexes, It is a set of actual road end node combinations. This refers to the actual distance of the road. There are no directly connected roads between the nodes of the transportation network.

[0009] As a preferred scheme of the power distribution network fault scene voltage active support regulation method of the energy storage type and diesel generator type emergency vehicle, wherein: the Floyd algorithm is used to solve the shortest feasible path distance of each node of the traffic network and the path information corresponding to the shortest feasible path distance, including, using Floyd algorithm to calculate the shortest feasible path of any two nodes in the traffic network, introducing the shortest distance matrix of road nodes to describe the shortest feasible path distance between any two nodes of the traffic network, and introducing the shortest path matrix to describe the path information corresponding to the shortest feasible path distance of any two nodes in the shortest distance matrix of road nodes.

[0010] As a preferred scheme of the power distribution network fault scene voltage active support regulation method of the energy storage type and diesel generator type emergency vehicle, wherein: the shortest distance matrix of road nodes is expressed as: Wherein, is the shortest distance matrix of road nodes, is the shortest feasible path distance from node 1 to node 2, is the shortest feasible path distance from node 1 to node , is the shortest feasible path distance from node 2 to node 1, is the shortest feasible path distance from node 2 to node , is the shortest feasible path distance from node to node 1, is the shortest feasible path distance from node to node 2; the shortest distance matrix of road nodes is a symmetric matrix; the shortest path matrix is expressed as: Wherein, is the shortest path matrix, is the meaningless path of the self-loop, the value of which is a path sequence containing all node numbers passed through on the shortest path from node to node , is the point in the matrix , is the path sequence containing all node numbers passed through on the shortest path from node 1 to node 2, is the path sequence containing all node numbers passed through on the shortest path from node 1 to node , is the path sequence containing all node numbers passed through on the shortest path from node 2 to node 1, is the path sequence containing all node numbers passed through on the shortest path from node 2 to node ​a path sequence of all node numbers passed on the shortest path from node to node 1, a path sequence of all node numbers passed on the shortest path from node to node 2, a path sequence of all node numbers passed on the shortest path from node

[0011] As a preferred scheme of the active voltage support regulation method for the power distribution network fault scenario of the energy storage type and diesel generator type emergency vehicle, wherein: the architecture of the energy storage type and diesel generator type emergency vehicle, the energy storage type emergency vehicle includes a bidirectional DC-DC module and an AC-DC module; one end of the bidirectional DC-DC module is connected with the energy storage battery, and the other end is connected with the AC-DC module; the AC side of the AC-DC module is connected with the bus of the load node, realizing the energy interaction between the energy storage battery and the load node; the diesel generator type emergency vehicle includes a diesel generator, which converts the chemical energy of liquid fuel into three-phase alternating current energy, and the three-phase power is connected to the bus of the load node.

[0012] As a preferred scheme of the active voltage support regulation method for the power distribution network fault scenario of the energy storage type and diesel generator type emergency vehicle, wherein: the establishment of the mathematical model of the energy storage type emergency vehicle and the mathematical model of the diesel generator type emergency vehicle, including: setting the energy storage type emergency vehicle set as , the diesel generator type emergency vehicle set as , the power distribution network fault working condition period set as , introducing 0-1 variable , , if is in grid-connected state, then , otherwise , if is in grid-connected state, then , otherwise , expressed as: wherein, is the energy storage type emergency vehicle set, is the energy storage type emergency vehicle, is the index of the energy storage type emergency vehicle, is the number of energy storage type emergency vehicles, is the diesel generator type emergency vehicle set, is the diesel generator type emergency vehicle, is the index of the diesel generator type emergency vehicle, is the number of diesel generator type emergency vehicles, is the time, The start time of the distribution network fault. For the maintenance time of power distribution network faults, This is the end time of the distribution network fault. This is a set of time periods for distribution network fault conditions. For the first Taiwan's energy storage emergency vehicle Variables at time, For the first Taiwan Diesel Engine Emergency Vehicle The variable at any given time; when an energy storage emergency vehicle is connected to the grid, it meets its own operational constraints, which can be represented as: in, for No. Each port in Active power transmitted at any time for No. Each port in Reactive power transmitted at time for No. Each port in Time loss, For the efficiency of energy storage emergency vehicle ports, for No. The rated apparent power of each port, for exist Output power at that time This refers to the upper limit of the charging and discharging power of energy storage batteries. For all ports of a single energy storage emergency vehicle, This refers to an energy storage-type emergency vehicle; a diesel-powered emergency vehicle, when connected to the grid, meets its own operational constraints, and is represented as follows: in, for No. Each port in Active power transmitted at any time for No. Each port in Reactive power transmitted at time for No. Each port in Time loss, To improve the efficiency of the diesel generator emergency vehicle port. for No. The rated apparent power of each port, for exist The output power of the diesel generator at that time This represents the upper limit of the diesel generator's power. For all ports of a single diesel generator emergency vehicle, This indicates a diesel-powered emergency vehicle; a new 0-1 variable is introduced. and ,when exist When the energy storage battery is in a charging state, The value is 1 if it is not 0 otherwise. exist When the energy storage battery is in a discharging state, The value is 1 if it is not 0 otherwise. Since energy storage emergency vehicles cannot charge and discharge simultaneously while connected to the grid, the constraint is expressed as follows: in, For charging variables, For discharge variables.

[0013] This preferred scheme establishes mathematical models for energy storage and diesel-powered emergency vehicles by introducing 0-1 variables, energy flow constraints, and charge-discharge mutual exclusion constraints. It refines operating parameters such as active power, reactive power, power loss, and port efficiency, giving the dispatch control the advantages of precision, strong computability, and adaptability to the operating characteristics of multiple types of equipment, thereby improving the engineering usability and decision support capability of the system model.

[0014] As a preferred embodiment of the active voltage support and regulation method for distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles described in this invention, the following steps are included: Constructing a dispatch model for energy storage and diesel-powered emergency vehicles, and determining the objective function and setting constraints based on the load support capacity and operational economy under distribution network fault conditions, includes: The objective function for emergency power supply dispatching of energy storage and diesel-powered emergency vehicles, based on the load support capacity and operational economy under distribution network fault conditions, is expressed as follows: in, Let be the objective function. To minimize, For the current of the distribution network lines, This is the loss cost coefficient. This is the economic loss coefficient due to power outage. The resistance of the distribution network lines. For the arrival time of emergency vehicles, These are the corresponding values ​​for the load forecast curve. The power distribution network actually bears the load; the operation constraints under the fault condition of the power distribution network are established, including the power flow equation constraint, the safe working condition constraint, the second-order cone constraint, and the charging and discharging constraint of the energy storage battery.

[0015] As a preferred scheme of the power distribution network fault scene voltage active support regulation method considering the energy storage type and the diesel generator type emergency vehicle, the solving of the solver is used to solve the scheduling model to obtain the scheduling strategy of the energy storage type and the diesel generator type emergency vehicle, including using the GUROBI solver to solve the scheduling model, finally obtaining the scheduling position and output condition of the energy storage type and the diesel generator type emergency vehicle in the power distribution network fault condition period, and analyzing the load support ability.

[0016] The application provides a computer device, including a memory and a processor, and the memory stores a computer program.

[0017] The application provides a computer readable storage medium, which stores a computer program.

[0018] The application has the beneficial effects that: the application optimizes the scheduling position and output size of the energy storage type and the diesel generator type emergency vehicle by adding the diesel generator type emergency vehicle for joint scheduling in the scheduling process based on the existing energy storage type emergency vehicle architecture and the scheduling strategy method. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1 The overall flowchart of the power distribution network fault scene voltage active support regulation method considering the energy storage type and the diesel generator type emergency vehicle provided by an embodiment of the application.

[0021] Figure 2 The coupling schematic diagram of the power distribution network and the traffic network of the power distribution network fault scene voltage active support regulation method considering the energy storage type and the diesel generator type emergency vehicle provided by an embodiment of the application.

[0022] Figure 3 This is a schematic diagram of the architecture of an energy storage emergency vehicle and a diesel-powered emergency vehicle, which are based on an embodiment of the present invention and provide a method for active voltage support and regulation in power distribution network fault scenarios.

[0023] Figure 4 The diagram shows the load support effect of the voltage active support regulation method for distribution network fault scenarios, which considers energy storage and diesel-powered emergency vehicles, provided in an embodiment of the present invention, under the condition of distribution network fault. Detailed Implementation

[0024] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0025] Example 1, referring to Figure 1 This is one embodiment of the present invention, which provides a method for active voltage support regulation in distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles, including: S1. Based on the coupling relationship between the actual transportation network and the power distribution network, construct the road topology and use the Floyd algorithm to solve for the shortest feasible path distance of each node in the transportation network and the path information corresponding to the shortest feasible path distance.

[0026] S2. Based on the architecture of energy storage emergency vehicles and diesel-powered emergency vehicles, establish mathematical models for energy storage emergency vehicles and diesel-powered emergency vehicles.

[0027] S3. Construct a dispatch model for energy storage emergency vehicles and diesel-powered emergency vehicles, and determine the objective function and set constraints based on the load support capacity and operational economy under the fault conditions of the distribution network.

[0028] S4. The scheduling model is solved using a solver to obtain the scheduling strategies for energy storage emergency vehicles and diesel-powered emergency vehicles.

[0029] This invention constructs a road topology based on the coupling relationship between the power distribution network and the transportation network, and uses the Floyd algorithm to solve for the shortest path information of emergency vehicles. On this basis, mathematical models of energy storage and diesel-powered emergency vehicles are established. Combined with the fault conditions of the power distribution network, a scheduling optimization model is constructed with load support capacity and operational economy as the objectives. A solver is used to obtain the optimal scheduling strategy and output arrangement of emergency vehicles, and finally realizes efficient control of emergency vehicles and active voltage support during power distribution network faults.

[0030] Example 2, refer toFigure 2 and Figure 3 As an embodiment of the present invention, based on the previous embodiment, a method for active voltage support regulation in distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles is provided, including: Furthermore, in step S1, based on the coupling relationship between the actual transportation network and the power distribution network, a road topology is constructed, and the Floyd algorithm is used to solve for the shortest feasible path distance of each node in the transportation network and the path information corresponding to the shortest feasible path distance, including: The shortest feasible distance and feasible path between each node of the transportation network are calculated. Since the actual access locations of energy storage emergency vehicles and diesel-powered emergency vehicles are in the transportation network, a transportation network-distribution network coupling structure is introduced, as shown in the schematic diagram below. Figure 2 As shown. For a distribution network with n nodes, a road topology adjacency matrix is ​​introduced. Describing the distances between the roads of each traffic network node coupled with it, we have: (1) in, This is the road topology adjacency matrix. For nodes With nodes The distance between the roads, The total number of nodes. For node indexing, For nodes Coupled node indexes, It is a set of actual road end node combinations. The actual distance of the road, in meters. There are no directly connected roads between the nodes of the transportation network. This represents the direct connection distance between road nodes. When two points are directly connected, the distance is... When there is no direct connection At a certain point, the distance between oneself and oneself is 0.

[0031] Furthermore, The presentation format is as follows: (2) in, This represents the distance between the roads between node 1 and node 2. For node 1 and node The distance between the roads, For nodes The distance between the road and node 1 For node 2 and node The distance between the roads, For nodes The distance between the road and node 1 For nodes The distance between the road and node 2.

[0032] Based on the road topology relationship in equation (2), the Floyd algorithm is used to calculate the shortest path between any two nodes in the traffic network, and a shortest distance matrix of road nodes is introduced. Describe the shortest feasible path distance between any two nodes in a transportation network, and introduce a shortest path matrix. Description Matrix The path information corresponding to the shortest feasible path distance between any two nodes in the central transportation network.

[0033] Shortest distance matrix of road nodes Represented as: (3) in, This is the shortest distance matrix for road nodes. This represents the shortest feasible path distance from node 1 to node 2. From node 1 to node The shortest feasible path distance, This represents the shortest feasible path distance from node 2 to node 1. For node 2 to node The shortest feasible path distance, For nodes The shortest feasible path distance to node 1. For nodes The shortest feasible path distance to node 2; the shortest distance matrix of road nodes is a symmetric matrix, that is, the shortest path distance between two nodes is reciprocal.

[0034] Shortest path matrix Represented as: (4) in, This is the shortest path matrix. For meaningless paths that are self-looping, The value is a path sequence containing nodes. To the node The node numbers traversed on the shortest path, For matrix The point in the middle, A path sequence containing the node numbers of all nodes traversed on the shortest path from node 1 to node 2. For containing nodes from node 1 to node The path sequence containing the node numbers of all nodes traversed on the shortest path. This is a sequence of paths containing the node numbers of all nodes traversed on the shortest path from node 2 to node 1. For including nodes from node2 to node... The path sequence containing the node numbers of all nodes traversed on the shortest path. For including slave nodes The path sequence of all node numbers traversed on the shortest path to node 1. For including slave nodes The path sequence of all node numbers passed through on the shortest path to node 2.

[0035] Furthermore, in step S2, based on the architecture of the energy storage emergency vehicle and the diesel-powered emergency vehicle, mathematical models of the two are established, and their architectures are as follows: Figure 3 As shown, it includes: The energy storage emergency vehicle includes a bidirectional DC-DC module and an AC-DC module. One end of the bidirectional DC-DC module is connected to the energy storage battery, and the other end is connected to the AC-DC module. The AC side of the AC-DC module is connected to the bus of the load node, thereby realizing flexible energy interaction between the energy storage battery and the load node.

[0036] The diesel-powered emergency vehicle includes a diesel generator that can convert the chemical energy of liquid fuel into three-phase alternating current, which can be connected to the busbar of the load node.

[0037] The energy storage emergency vehicle group is set as Chai-fired emergency vehicles were assembled. The set of time periods for distribution network fault conditions is as follows Introducing 0-1 variables , ,like If it is in grid-connected state, then ,otherwise ,like If it is in grid-connected state, then ,otherwise Then we have the following formula: (5) in, A collection of energy storage emergency vehicles. For the first Taiwan energy storage emergency vehicle, As an index for energy storage emergency vehicles, The number of energy storage emergency vehicles, For the assembly of Chaifa emergency vehicles, For the first Taiwan Diesel Engine Emergency Vehicle For the index of diesel generator emergency vehicles, The number of diesel-powered emergency vehicles, For time, The start time of the distribution network fault. For the maintenance time of power distribution network faults, This is the end time of the distribution network fault. This is a set of time periods for distribution network fault conditions. For the first Taiwan's energy storage emergency vehicle Variables at time, For the first Taiwan Diesel Engine Emergency Vehicle The variable of time.

[0038] When an energy storage emergency vehicle is connected to the grid, it needs to meet its own operational constraints, which can be expressed by the following formula: (6) in, for No. Each port in Active power transmitted at any time for No. Each port in Reactive power transmitted at time for No. Each port in Time loss, For the efficiency of energy storage emergency vehicle ports, for No. The rated apparent power of each port, for exist Output power at that time This refers to the upper limit of the charging and discharging power of energy storage batteries. For all ports of a single energy storage emergency vehicle, This refers to an energy storage emergency vehicle.

[0039] When a diesel-powered emergency vehicle is connected to the grid, it needs to meet its own operational constraints, which can be expressed by the following formula: (7) in, for No. Each port in Active power transmitted at any time for No. Each port in Reactive power transmitted at time for No. Each port in Time loss, To improve the efficiency of the diesel generator emergency vehicle port. for No. The rated apparent power of each port, for exist The output power of the diesel generator at that time This represents the upper limit of the diesel generator's power. For all ports of a single diesel generator emergency vehicle, This indicates a diesel-powered emergency vehicle.

[0040] Introducing new 0-1 variables and ,when exist When the energy storage battery is in a charging state, The value is 1 if it is not 0 otherwise. exist When the energy storage battery is in a discharging state, The value is 1 if it is not 0 otherwise. Since energy storage emergency vehicles cannot charge and discharge simultaneously while connected to the grid, the constraint is expressed as follows: (8) in, For charging variables, For discharge variables.

[0041] Furthermore, in step S3, a dispatch model for energy storage emergency vehicles and diesel-powered emergency vehicles is constructed. The objective function is determined and constraints are set based on the load support capacity and operational economy under distribution network fault conditions, including: Considering the load support capacity and operational economy under distribution network fault conditions, the objective function for emergency power dispatching of energy storage emergency vehicles and diesel-powered emergency vehicles is as follows: (9) in, Let be the objective function. To minimize, For the current of the distribution network lines, This is the loss cost coefficient. This is the economic loss coefficient due to power outage. The resistance of the distribution network lines. For the arrival time of emergency vehicles, These are the corresponding values ​​for the load forecast curve. The actual load borne by the distribution network. The coefficient is set according to the actual situation.

[0042] The operational constraints for distribution network fault conditions include power flow equation constraints, safety condition constraints, second-order cone constraints, and energy storage battery charging and discharging constraints.

[0043] Power flow equation constraints, including active and reactive power balance constraints: (10) in, For nodes The active power output of distributed power sources. For nodes The reactive power output of distributed power sources. For nodes Active power purchased from the upper-level power grid For nodes Purchase of reactive power from the upper-level power grid For nodes The input active power of the emergency vehicle, For nodes The input reactive power of the emergency vehicle, outflow node branch set, For inflow node branch set, The active power flowing through the branch is The reactive power flowing through the branch is The square of the branch current. The resistance of the branch, The reactance of the branch circuit.

[0044] Safety constraints include voltage, current, active power, and reactive power operating constraints: (11) in, The square of the node voltage. This represents the minimum value of the square of the node voltage. This represents the maximum value of the square of the node voltage. This is the minimum value of the square of the branch current. This is the maximum value of the square of the branch current. This represents the minimum active power flowing through the branch. This represents the maximum active power flowing through the branch. This represents the minimum reactive power flowing through the branch. This represents the maximum reactive power flowing through the branch.

[0045] For second-order cone constraints in radial distribution networks, equivalent transformations of second-order cone linear programming can be used for relaxation, reducing the solution difficulty. For example: (12) in, For branch current, This represents the node voltage.

[0046] Furthermore, in step S4, a solver is used to solve the scheduling model to obtain the scheduling strategies for energy storage emergency vehicles and diesel-powered emergency vehicles, including: The optimization model was solved using the GUROBI solver, and the dispatching location and output of energy storage emergency vehicles and diesel generator emergency vehicles during the power distribution network fault conditions were obtained. The load support capacity was also analyzed.

[0047] Example 3, referring to Figure 4 As one embodiment of the present invention, a method for active voltage support regulation in power distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0048] This invention provides a proactive voltage support and regulation strategy for distribution network fault scenarios that considers both energy storage-type and diesel-powered emergency vehicles. Building upon existing energy storage-type emergency vehicle architecture and scheduling strategies, it incorporates diesel-powered emergency vehicles for joint scheduling, optimizing the scheduling positions and output of both types of vehicles. This strategy comprehensively considers load support capacity and operational economy under distribution network fault conditions, and has significant practical implications for improving distribution network resilience.

[0049] To verify the effectiveness and superiority of the method involved in this invention, this embodiment selects an IEEE 33-node distribution network system as an example, and selects some main roads in the urban area of ​​a certain city. This transportation network includes 29 nodes and 49 roads. The length and coupling data of each road are shown in Tables 1 and 2 below: Table 1. Length of Roads in the Transportation Network

[0050] For the IEEE 33-node system, the disconnected lines under distribution network fault conditions are set as 4, 12, 16, 21, 24, and 31, and the fault time is set as 8:00 to 12:00. Two energy storage emergency vehicles and two diesel generator emergency vehicles can be dispatched within the distribution network area. The energy storage emergency vehicles have a capacity of 150 kWh and a maximum power of 150 kW. The maximum power of the diesel generator emergency vehicles is the same as that of the energy storage emergency vehicles, but since the diesel generator emergency vehicles can be replenished with liquid fuel in a short time, their capacity is unlimited.

[0051] According to GUROBI's calculations, under fault scenarios, the load support effect of the distribution network after the connection of energy storage emergency vehicles and diesel generator emergency vehicles is as follows: Figure 4As shown, under the scheduling strategy proposed in this invention, the load in the distribution network can be well supported, effectively reducing power outage losses in the region.

[0052] Table 2 Correspondence between Distribution Network Nodes and Transportation Network Nodes

[0053] Example 4 is an embodiment of the present invention, which provides a voltage active support and regulation device and medium for distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles, including: This embodiment also provides an electronic device applicable to the active voltage support and control method for distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the active voltage support and control method for distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles as proposed in the above embodiment.

[0054] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the active voltage support and control method for power distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles as proposed in the above embodiments.

[0055] The storage medium proposed in this embodiment and the active voltage support regulation method for power distribution network fault scenarios considering energy storage and diesel-powered emergency vehicles proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0056] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0057] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A voltage active support regulation method for power distribution network failure scenarios considering energy storage and diesel generator emergency vehicles, characterized in that: The method comprises the steps of: According to the coupling relationship between the actual traffic network and the power distribution network, a road topology structure is constructed, and a Floyd algorithm is used to solve the shortest feasible path distance of each node in the traffic network and the path information corresponding to the shortest feasible path distance; Based on the architecture of the energy storage type emergency vehicle and the diesel generator type emergency vehicle, a mathematical model of the energy storage type emergency vehicle and a mathematical model of the diesel generator type emergency vehicle are established; A dispatching model of the energy storage type emergency vehicle and the diesel generator type emergency vehicle is constructed, and a target function is determined and a constraint condition is set in combination with the load support capability and the operation economy of the power distribution network under the fault condition; A solver is used to solve the dispatching model to obtain the dispatching strategy of the energy storage type emergency vehicle and the diesel generator type emergency vehicle.

2. The method of claim 1, wherein the method is characterized by: According to the coupling relationship between the actual traffic network and the power distribution network, the road topology structure is constructed, which comprises the steps of: For a power distribution network with nodes, a road topology adjacency matrix is introduced to describe the distance of each road of the nodes of the traffic network coupled with the power distribution network, nodes of the power distribution network corresponds to nodes of the traffic network, denoted as, wherein, is a road topology adjacency matrix, is a node is a distance between nodes is a total number of nodes, is a node index, is a node index coupled with node is a set of actual road two end node combinations, is an actual distance of a road, is a road that does not exist directly connecting between nodes of a traffic network.​​ 3.The method of claim 2, wherein the method is characterized in that: The Floyd algorithm is used to solve the shortest feasible path distance of each node in the traffic network and the path information corresponding to the shortest feasible path distance, which comprises the steps of: The Floyd algorithm is used to calculate the shortest feasible path of any two nodes in the traffic network, a road node shortest distance matrix is introduced to describe the shortest feasible path distance between any two nodes in the traffic network, and a shortest path matrix is introduced to describe the path information corresponding to the shortest feasible path distance between any two nodes in the road node shortest distance matrix. 4.The method of claim 3, wherein the method is characterized in that: The road node shortest distance matrix is represented as: wherein, D is a matrix of shortest distances between road nodes, D is the shortest feasible path distance from node 1 to node 2, D is the shortest feasible path distance from node 1 to node D is the shortest feasible path distance from node 2 to node D is the shortest feasible path distance from node 2 to node 1, D is the shortest feasible path distance from node 2 to node D is the shortest feasible path distance from node to node 1, D is the shortest feasible path distance from node to node 1, D is the shortest feasible path distance from node to node 2; The road node shortest distance matrix is a symmetric matrix. The shortest path matrix is represented as: wherein, is the shortest path matrix, is a meaningless path with a loop, is a value of a path sequence containing all node numbers passed on the shortest path from node to node , is a point in the matrix , is a path sequence containing all node numbers passed on the shortest path from node 1 to node 2, is a path sequence containing all node numbers passed on the shortest path from node 1 to node , is a path sequence containing all node numbers passed on the shortest path from node 2 to node 1, is a path sequence containing all node numbers passed on the shortest path from node 2 to node , is a path sequence containing all node numbers passed on the shortest path from node to node 1, is a path sequence containing all node numbers passed on the shortest path from node to node 2. 5.The method of claim 4, wherein the method is characterized in that: The architecture of the energy storage type emergency vehicle and the diesel generator type emergency vehicle comprises the steps of: It comprises the steps of: The energy storage type emergency vehicle comprises a bidirectional DC-DC module and an AC-DC module. One end of the bidirectional DC-DC module is connected with the energy storage battery, and the other end is connected with the AC-DC module. The AC side of the AC-DC module is connected with the bus of the load node to realize the energy interaction between the energy storage battery and the load node. The diesel generator type emergency vehicle comprises a diesel generator, which converts the chemical energy of liquid fuel into three-phase alternating current energy, and the three-phase electricity is connected with the bus of the load node.

6. The method of claim 5, wherein the method further comprises: The mathematical model of the energy storage type emergency vehicle and the mathematical model of the diesel generator type emergency vehicle are established, which comprises the steps of: The energy storage emergency vehicle group is set as Chai-fired emergency vehicles were assembled. The set of time periods for distribution network fault conditions is as follows Introducing 0-1 variables , ,like If it is in grid-connected state, then ,otherwise ,like If it is in grid-connected state, then ,otherwise , is represented as , wherein, is a set of energy storage emergency vehicles, is the th energy storage emergency vehicle, is an index of energy storage emergency vehicles, is the number of energy storage emergency vehicles, is a set of diesel generator emergency vehicles, is the th diesel generator emergency vehicle, is an index of diesel generator emergency vehicles, is the number of diesel generator emergency vehicles, is time, is the start time of the power distribution network fault, is the repair time of the power distribution network fault, is the end time of the power distribution network fault, is a set of time periods of the power distribution network fault working condition, is the th energy storage emergency vehicle at time, is the th diesel generator emergency vehicle at time. The energy storage type emergency vehicle meets its own working state constraint in the grid-connected state, which is represented as: wherein, is the active power transmitted by the port at the time t, is the reactive power transmitted by the port at the time t, is the loss of the port at the time t, is the efficiency of the port of the energy storage emergency vehicle, is the rated apparent power of the port, is the output power at the time t, is the upper limit of the charging and discharging power of the energy storage battery, represents the energy storage emergency vehicle; The diesel generator type emergency vehicle meets its own working state constraint in the grid-connected state, which is represented as: wherein, is the active power transmitted by the port at time is the reactive power transmitted by the port at time is the loss of the port at time is the port efficiency of the diesel generator emergency vehicle, is the rated apparent power of the port, is the output power of the diesel generator at time is the upper limit of the diesel generator power, is the total of all ports of a single diesel generator emergency vehicle, denotes a diesel generator emergency vehicle; Introducing new 0-1 variables and ,when exist When the energy storage battery is in a charging state, The value is 1 if it is not 0 otherwise. exist When the energy storage battery is in a discharging state, The value is 1 otherwise 0. Since energy storage emergency vehicles cannot charge and discharge simultaneously while connected to the grid, the constraint is expressed as follows: wherein is a charging variable, is a discharging variable.

7. The method of claim 6, wherein the method further comprises: determining the voltage support of the power distribution network based on the power distribution network fault scenario and the power distribution network topology. The dispatching model of the energy storage type emergency vehicle and the diesel generator type emergency vehicle is constructed, and a target function is determined and a constraint condition is set in combination with the load support capability and the operation economy of the power distribution network under the fault condition, which comprises the steps of: In combination with the load support capability and the operation economy of the power distribution network under the fault condition, the target function of the emergency power supply dispatching of the energy storage type emergency vehicle and the diesel generator type emergency vehicle is represented as: wherein, is an objective function, is minimized, is a current of a distribution network line, is a loss cost coefficient, is a power loss economic loss coefficient, is a resistance of a distribution network line, is an access time of an emergency vehicle, is a corresponding value of a load prediction curve, is an actual load borne by a distribution network; The operation constraints under the fault condition of the power distribution network include the power flow equation constraint, the safe working condition constraint, the second-order cone constraint and the energy storage battery charging and discharging constraint. 8.The method of claim 6, wherein the method is characterized in that: The dispatching model is solved by using a solver to obtain the dispatching strategy of the energy storage type emergency vehicle and the diesel generator type emergency vehicle. The GUROBI solver is used to solve the dispatching model, and finally the dispatching position and output condition of the energy storage type emergency vehicle and the diesel generator type emergency vehicle during the fault period of the power distribution network are obtained, and the load support capability is analyzed. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor implements the steps of the active voltage support regulation method for the power distribution network fault scenario considering the energy storage type and diesel generator type emergency vehicle according to any one of claims 1-8 when the computer program is executed.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the active voltage support regulation method for the power distribution network fault scenario considering the energy storage type and diesel generator type emergency vehicle according to any one of claims 1-8.

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