Post-disaster cooperative scheduling method and terminal of electric traffic coupling system

Abstract

The invention discloses a post-disaster cooperative scheduling method of an electric traffic coupling system and a terminal. According to the method, topological information, equipment information and road traffic flow of a fault area are obtained, a system isolation model of the electric traffic coupling system in a fault isolation stage and a system recovery model of the electric traffic coupling system in a service recovery stage are constructed respectively, and the system isolation model and the system recovery model are solved respectively. And solving according to the system isolation model to obtain a cooperative scheduling scheme of the reconstruction topological information generation system in a fault isolation stage, and solving according to the system recovery model to obtain a cooperative scheduling scheme of the reconstruction topological information generation system in a service recovery stage. According to the method, the mutual influence of a power system and a traffic system can be comprehensively considered, fault isolation and service recovery are rapidly realized after a disaster through topology reconstruction of a power distribution network and a traffic network, the toughness of an electric traffic coupling system is effectively improved, power-loss loads and traffic congestion are reduced, and safe and stable operation of the system is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid control, and particularly to a post-disaster collaborative scheduling method and terminal for an electric-traffic coupling system. Background Art

[0002] In the face of extreme weather such as rainstorms, hailstorms, snowstorms or sudden disasters such as fires, the distribution network, as a critical infrastructure, is extremely vulnerable to damage and causes large-scale power outages. As a result, the traffic network coupled with the power system is paralyzed due to power outages, leading to traffic jams at traffic lights, trams and charging facilities.

[0003] Currently, the post-disaster response mechanism of the distribution network mainly involves the fault isolation and service restoration links. Among them, fault isolation is a key prerequisite for service restoration. In existing research, distribution network topology reconfiguration is considered an effective means to enhance the resilience of fault isolation and service restoration. The distribution network adjusts its topology through switching operations, reconnecting the affected areas to the normally operating feeders to achieve load restoration. However, these studies usually ignore the fact that the topology of the traffic network also has the property of being reconfigurable. The traffic network can flexibly allocate traffic flow by methods such as lane reversal (e.g., tidal lanes) and intersection adjustment. This method has been applied in the field of enhancing traffic network resilience, aiming to reduce traffic congestion and travel time under extreme events.

[0004] Therefore, in the post-disaster recovery strategy of the electric-traffic coupling system, the topological flexibility of the traffic network is not fully utilized to enhance the system's resilience. Summary of the Invention

[0005] The technical problem to be solved by the present invention is: to provide a post-disaster collaborative scheduling method for an electric-traffic coupling system, which realizes the collaborative fault recovery of the distribution network and the traffic network through the topological reconfiguration of the distribution network and the traffic network, enhances the resilience of the electric-traffic coupling system, and ensures the safe and stable operation of the system.

[0006] To solve the above technical problem, a technical solution adopted by the present invention is:

[0007] A post-disaster collaborative scheduling method for an electric-traffic coupling system, comprising:

[0008] Obtaining the topological information, equipment information and road traffic flow of the electric-traffic coupling system in the fault area, where the topological information includes the first topological information of the distribution network and the second topological information of the traffic network;

[0009] Constructing a system isolation model with the goal of minimizing the lost power load and maximizing the road capacity according to the topological information and the equipment information;

[0010] Construct a system restoration model with the goal of minimizing the power outage load and the vehicle travel time based on the topological information, the device information, and the road traffic flow.

[0011] Solve and calculate the topological results of the electric-traffic coupling system in the fault isolation stage and the service restoration stage through the system isolation model and the system restoration model respectively, obtain the first target topological information and the second target topological information, and generate a cooperative scheduling plan based on the first target topological information and the second target topological information.

[0012] To solve the above technical problems, another technical solution adopted by the present invention is:

[0013] A post-disaster cooperative scheduling terminal for an electric-traffic coupling system, including a memory, a processor, and a computer program stored on the memory and running on the processor. When the processor executes the computer program, each step in the above-mentioned post-disaster cooperative scheduling method for an electric-traffic coupling system is implemented.

[0014] The beneficial effects of the present invention are as follows: By obtaining the topological information, device information, and road traffic flow of the fault area, respectively constructing a system isolation model for the electric-traffic coupling system in the fault isolation stage and a system restoration model in the service restoration stage, and respectively solving through the system isolation model and the system restoration model to obtain the topological information of the distribution network and the traffic network after fault reconstruction. Generate a cooperative scheduling plan for the system in the fault isolation stage according to the reconstructed topological information obtained by solving the system isolation model, and generate a cooperative scheduling plan for the system in the service restoration stage according to the reconstructed topological information obtained by solving the system restoration model. The present invention can comprehensively consider the mutual influence between the power system and the traffic system, quickly achieve fault isolation and service restoration after a disaster through the topological reconstruction of the distribution network and the traffic network, effectively improve the resilience of the electric-traffic coupling system, reduce the power outage load and traffic congestion, and ensure the safe and stable operation of the system. Description of the Drawings

[0015] Figure 1 It is a flowchart of the steps of a post-disaster cooperative scheduling method for an electric-traffic coupling system provided by an embodiment of the present invention;

[0016] Figure 2 It is a structural schematic diagram of a post-disaster cooperative scheduling terminal for an electric-traffic coupling system provided by an embodiment of the present invention;

[0017] Label Description:

[0018] 100. A post-disaster cooperative scheduling terminal for an electric-traffic coupling system; 101. Memory; 102. Processor. Detailed Embodiments

[0019] To describe the technical content, achieved objectives and effects of the present invention in detail, the following is described in conjunction with the embodiments and with reference to the drawings.

[0020] An embodiment of the present invention provides a post-disaster collaborative scheduling method for an electric transportation coupling system, including:

[0021] Obtain the topological information, device information and road traffic flow of the electric transportation coupling system in the fault area, where the topological information includes the first topological information of the distribution network and the second topological information of the transportation network;

[0022] Construct a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the topological information and the device information;

[0023] Construct a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topological information, the device information and the road traffic flow;

[0024] Solve and calculate the topological results of the electric transportation coupling system in the fault isolation stage and the service restoration stage through the system isolation model and the system restoration model respectively, obtain the first target topological information and the second target topological information, and generate a collaborative scheduling plan according to the first target topological information and the second target topological information.

[0025] As can be seen from the above description, the beneficial effects of the present invention are as follows: By obtaining the topological information, device information and road traffic flow of the fault area, constructing a system isolation model of the electric transportation coupling system in the fault isolation stage and a system restoration model in the service restoration stage respectively, and solving through the system isolation model and the system restoration model respectively to obtain the topological information of the distribution network and the transportation network after fault reconstruction, generating a collaborative scheduling plan for the system in the fault isolation stage according to the reconstructed topological information obtained by solving the system isolation model, and generating a collaborative scheduling plan for the system in the service restoration stage according to the reconstructed topological information obtained by solving the system restoration model. The present invention can comprehensively consider the mutual influence between the power system and the transportation system, quickly achieve fault isolation and service restoration after a disaster through the topological reconstruction of the distribution network and the transportation network, effectively improve the resilience of the electric transportation coupling system, reduce the power outage load and traffic congestion, and ensure the safe and stable operation of the system.

[0026] Further, constructing a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the topological information and the device information includes:

[0027] Determine the fault propagation constraint between the distribution network and the transportation network according to the coupled charging station nodes between the first topological information and the second topological information;

[0028] Determine the first topology reconstruction constraint for the target feeder affected by the fault area in the distribution network to be connected to the normal feeder according to the first topology information;

[0029] Determine the fault road constraint of the transportation network and the second topology reconstruction constraint for adjusting the road connection structure during the fault isolation stage according to the second topology information;

[0030] Determine the isolation operation constraint of the distribution network during the fault isolation stage according to the equipment information;

[0031] Construct a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the fault propagation constraint, the first topology reconstruction constraint, the fault road constraint, the second topology reconstruction constraint, and the isolation operation constraint.

[0032] As can be seen from the above description, based on the first topology information and the second topology information, the fault propagation constraint between the distribution network and the transportation network, the topology reconstruction constraint of the distribution network, the fault road constraint and the topology reconstruction constraint of the transportation network, and the isolation operation constraint of the distribution network are determined, making the system isolation model more accurate and perfect, capable of more precisely simulating the fault isolation process of the post-disaster power system, and providing a reliable basis for subsequent coordinated dispatching.

[0033] Furthermore, constructing a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topology information, the equipment information, and the road traffic flow includes:

[0034] Determine the travel time cost of the road according to the road traffic flow;

[0035] Construct a transportation network dispatching model according to the road traffic flow and the travel time cost;

[0036] Construct a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topology information, the equipment information, and the transportation network dispatching model.

[0037] As can be seen from the above description, the system restoration model considers the influence of the road traffic flow on the travel time cost, and constructs a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time in combination with the transportation network dispatching model, which can take into account the restoration of the power system and the dredging of the transportation system, effectively shorten the fault restoration time, reduce the vehicle travel cost, and improve the overall operation efficiency of the system.

[0038] Furthermore, constructing a transportation network dispatching model according to the road traffic flow and the travel time cost includes:

[0039] Determine the distribution constraints of the traffic flow on the road, and construct a traffic network scheduling model with the goal of minimizing the driving time of all vehicles according to the distribution constraints and the driving time cost.

[0040] As can be seen from the above description, determining the distribution constraints of the traffic flow on the road and constructing a traffic network scheduling model based on the driving time cost makes the traffic network scheduling model closer to the actual operation situation, ensures the normal operation of the traffic network, and can more accurately reflect the impact of the traffic flow on the driving time, providing an effective traffic guidance plan for the system restoration stage.

[0041] Furthermore, constructing a system restoration model with the goals of minimizing the power outage load and minimizing the driving time of vehicles according to the topological information, the device information, and the traffic network scheduling model includes:

[0042] Determine the third topological reconstruction constraint for the distribution network to disconnect the lines in the fault area according to the first topological information;

[0043] Determine the restoration operation constraint for the distribution network during the service restoration stage according to the device information;

[0044] Determine the fourth topological reconstruction constraint for the traffic network to adjust the road connection structure and road directions during the service restoration stage according to the second topological information;

[0045] Construct a system restoration model with the goals of minimizing the power outage load and minimizing the driving time of vehicles according to the third topological reconstruction constraint, the restoration operation constraint, the fourth topological reconstruction constraint, and the traffic network scheduling model.

[0046] As can be seen from the above description, determining the topological reconstruction constraint and the restoration operation constraint of the distribution network, as well as the topological reconstruction constraint of the traffic network, closely combines the topological adjustment of the power system for power restoration and the topological adjustment of the traffic system for traffic guidance during the service restoration stage, can comprehensively consider the mutual influence between the two, and ensure the safety and efficiency during the system restoration stage.

[0047] Furthermore, determining the fault propagation constraint between the distribution network and the traffic network according to the coupled charging station nodes between the first topological information and the second topological information includes:

[0048]

[0049]

[0050] where d i,s,I and d j,s,IIndicate whether node i and node j of the first topological information or the second topological information belong to the fault area during the fault isolation stage Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area, μ ij,s Indicate whether there is a fault on line ij or road ij. If μ ij,s = 1, there is a fault. If μ ij,s = 0, there is no fault. α ij,0 Indicate the status of line ij or road ij. α ij,0 = 1 means closed. α ij,0 = 0 means open. S represents the set of regions, L P Indicate the set of lines of the first topological information, L T Indicate the set of roads of the second topological information, d q,s,I Indicate whether the coupled charging station node q of the first topological information belongs to the fault area, d r,s,I Indicate whether the coupled charging station node r of the second topological information belongs to the fault area, and Indicate the set of coupled charging stations of the first topological information and the set of coupled charging stations of the second topological information respectively.

[0051] As can be seen from the above description, determining the fault propagation constraint according to the coupled charging station nodes between the distribution network and the transportation network takes into account the topological coupling between the power system and the transportation system, and can more accurately simulate the propagation process of post-disaster faults between the power system and the transportation system, thereby improving the accuracy and practicality of the model.

[0052] Furthermore, determining the fault road constraint of the transportation network according to the second topological information and the second topological reconstruction constraint for adjusting the road connection structure during the fault isolation stage includes:

[0053] Determining the fault road constraint of the transportation network according to the second topological information:

[0054]

[0055] Among them, Q ij,I,s Indicates the capacity of road ij during the fault isolation stage Ι. μ ij,s Indicate whether there is a fault on road ij. If μ ij,s = 1, there is a fault. If μ ij,s = 0, there is no fault. μ ji,s Indicate whether there is a fault on road ji. Indicates the initial capacity of road ij. Indicates the fault isolation stage Ι and Q ij,I,s The capacity of road ij in the opposite direction. Indicates and The initial capacity of road ij in the opposite direction. LT The set of roads representing the second topological information, and S represents the set of regions;

[0056] Determine the second topological reconstruction constraint for adjusting the road connection structure of the transportation network during the fault isolation phase according to the second topological information:

[0057]

[0058] Among them, α ij,s,I Indicates whether road ij is closed during the fault isolation phase Ι. If it is 1, it is closed; if it is 0, it is disconnected. e i,s (j) indicates whether road ij is blocked. If e i,s (j) = 1, it is blocked; if e i,s (j) = 0, it is unblocked. L T Represents the set of roads of the second topological information, S represents the set of regions, k represents the k-th element of e i,s , N c Represents the number of connected roads, N T Represents the set of nodes of the second topological information, ξ represents the set of road section states, m ij,s Represents the function mapping of the blocked road ij to the node, and respectively represent the forward lane capacity and the reverse lane capacity after road adjustment during the fault isolation phase Ι. B represents the set of blocked roads.

[0059] As can be seen from the above description, determining the fault road constraint of the transportation network and the topological reconstruction constraint for adjusting the road connection structure, restricting the traffic flow of the fault road, and adjusting the road structure, so as to divert the vehicles going to the fault road, fully considers the actual situation of the post-disaster transportation network, and effectively improves the operation efficiency and resilience of the transportation network.

[0060] Furthermore, determining the third topological reconstruction constraint for the distribution network to disconnect the line of the fault area according to the first topological information includes:

[0061]

[0062] Among them, α ij,s,II Indicates whether line ij is closed during the service restoration phase ΙΙ. If it is 1, it is closed; if it is 0, it is disconnected. z ij,s,II Indicates the virtual flow direction of line ij during the service restoration phase ΙΙ. If it is 1, it is from node i to node j; if it is 0, it is the opposite. k j Indicates whether node j is a substation bus. If it is 1, it is; if it is 0, it is not. dk j Indicates whether there is a generator connected to node j. If it is 1, there is; if it is 0, there is none. γ j,s,IIIndicates whether the generator node j is the regional root node. If it is 1, it is; if it is 0, it is not.

[0063] As can be seen from the above description, determining the topological reconstruction constraints for disconnecting the faulty area lines in the distribution network can ensure that during the fault recovery stage, the power system can quickly disconnect the lines in the faulty area and restore power supply to the non-faulty area, thereby improving the system's recovery speed and reliability.

[0064] Furthermore, the fourth topological reconstruction constraint for determining the adjustment of the road connection structure and road direction of the transportation network during the service recovery stage according to the second topological information includes:

[0065]

[0066] Among them, Represents the road capacity after the road ij is reversed in the service recovery stage II. Represents in the service recovery stage II and The road capacity after the road ij in the opposite direction is reversed, c ij,s And Respectively represent whether the forward road ij and the reverse road ij are reversed, N l Represents the total number of roads.

[0067] As can be seen from the above description, determining the topological reconstruction constraints for adjusting the road direction of the transportation network can flexibly adjust the road direction of the transportation network to meet the needs of post-disaster traffic guidance, effectively improve the operation efficiency and resilience of the transportation network, and reduce traffic congestion and travel time.

[0068] Another embodiment of the present invention provides a post-disaster collaborative scheduling terminal for an electric transportation coupling system, including a memory, a processor, and a computer program stored on the memory and running on the processor. When the processor executes the computer program, it implements each step in the above-mentioned post-disaster collaborative scheduling method for an electric transportation coupling system.

[0069] As can be seen from the above description, the beneficial effects of the present invention are as follows: By obtaining the topological information, device information, and road traffic volume of the fault area, a system isolation model of the electric-traffic coupling system during the fault isolation stage and a system recovery model during the service restoration stage are respectively constructed, and the topological information of the distribution network and the traffic network after fault reconstruction is obtained by solving the system isolation model and the system recovery model respectively. The collaborative scheduling scheme of the system during the fault isolation stage is generated according to the reconstructed topological information obtained by solving the system isolation model, and the collaborative scheduling scheme of the system during the service restoration stage is generated according to the reconstructed topological information obtained by solving the system recovery model. The present invention can comprehensively consider the mutual influence between the power system and the traffic system, quickly achieve fault isolation and service restoration after a disaster through the topological reconstruction of the distribution network and the traffic network, effectively improve the resilience of the electric-traffic coupling system, reduce the power loss load and traffic congestion, and ensure the safe and stable operation of the system.

[0070] The above-mentioned post-disaster collaborative scheduling method and terminal of an electric-traffic coupling system of the present invention can be applied to the operation and control scenarios of power grids containing various energy forms, which will be described below through specific embodiments:

[0071] Please refer to Figure 1 , Embodiment 1 of the present invention is as follows:

[0072] A post-disaster collaborative scheduling method for an electric-traffic coupling system, comprising:

[0073] S10. Obtain the topological information, device information, and road traffic volume of the electric-traffic coupling system in the fault area, where the topological information includes the first topological information of the distribution network and the second topological information of the traffic network.

[0074] Among them, the device information is the power generation device information of the distribution network, such as parameter information of generator sets, etc. The topological information of the distribution network and the traffic network may include node information of the corresponding network, etc., and the line or road information of the corresponding network is determined based on the node information.

[0075] S20. Construct a system isolation model with the goal of minimizing the power loss load and maximizing the road capacity according to the topological information and the device information.

[0076] Specifically, step S20 includes:

[0077] S201. Determine the fault propagation constraint between the distribution network and the traffic network according to the coupled charging station nodes between the first topological information and the second topological information.

[0078] Specifically, step S201 includes:

[0079] Constraint condition 1 is used to distinguish the topological information of the fault area and the non-fault area, specifically:

[0080]

[0081] Constraint condition 2 indicates that the faulty charging station nodes in the distribution network also have faults in the transportation network, that is, the fault propagation between systems. Specifically:

[0082]

[0083] Among them, d i,s,I and d j,s,I respectively represent whether node i and node j of the first topological information or the second topological information belong to the fault area in the fault isolation stage Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area. μ ij,s represents whether there is a fault on line ij or road ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault. α ij,0 represents the state of line ij or road ij. If α ij,0 = 1, it is closed; if α ij,0 = 0, it is open. S represents the set of regions, L P represents the set of lines of the first topological information, L T represents the set of roads of the second topological information, d q,s,I represents whether the coupled charging station node q of the first topological information belongs to the fault area, d r,s,I represents whether the coupled charging station node r of the second topological information belongs to the fault area, and respectively represent the set of coupled charging stations of the first topological information and the set of coupled charging stations of the second topological information.

[0084] S202. Determine the first topological reconstruction constraint for the target feeder affected by the fault area in the distribution network to access the normal feeder according to the first topological information.

[0085] In an alternative embodiment, step S202 includes:

[0086] Constraint condition 1 indicates that the topological switch for remotely controlling the distribution network can isolate the fault propagation on the faulty line. Specifically:

[0087]

[0088] Constraint condition 2 indicates that the line switch of the distribution network in the fault area can be opened to isolate the faulty line. Specifically:

[0089]

[0090] Among them, d i,s,I and d j,s,Irespectively indicate whether node i and node j of the first topological information belong to the fault area in the fault isolation stage Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area, μ ij,s indicates whether there is a fault on line ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault, α ij,0 indicates the initial state of line ij, α ij,0 = 1 means closed, α ij,0 = 0 means open, k ij,0 indicates whether the line ij in the fault isolation stage I is equipped with a sectional switch. If k ij,0 = 1, there is; if k ij,0 = 0, there is no, a ij,s,Ι indicates whether the state of line ij in the fault isolation stage I is closed. If a ij,s,Ι = 1, it is closed; if a ij,s,Ι = 0, it is open.

[0091] In an alternative embodiment, the constraint conditions of the above step S202 can also be used to restrict the topological reconstruction of the transportation network in the fault isolation stage. At this time, d in the constraint conditions of the above step S202 i,s,I and d j,s,I respectively indicate whether node i and node j of the second topological information belong to the fault area in the fault isolation stage Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area, μ ij,s indicates whether there is a fault on road ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault, α ij,0 indicates the state of road ij, α ij,0 = 1 means closed, α ij,0 = 0 means open, k ij,0 indicates whether the road ij in the fault isolation stage I is equipped with traffic control. If k ij,0 = 1, there is; if k ij,0 = 0, there is no, a ij,s,Ι indicates whether the state of road ij in the fault isolation stage I is closed. If a ij,s,Ι = 1, it is closed; if a ij,s,Ι = 0, it is open. Therefore, the constraint condition 1 in the above step S202 can represent that the transportation network prevents the expansion of road congestion by setting up roadblocks, and the constraint condition 2 can represent that the intersections are blocked on all roads equipped with traffic management personnel.

[0092] S203. Determine the fault road constraints of the transportation network and the second topological reconstruction constraints for adjusting the road connection structure in the fault isolation stage according to the second topological information, so as to eliminate the intersections leading to the fault road and avoid traffic congestion caused by the inability to pass through the fault road.

[0093] Specifically, step S203 includes:

[0094] S2031. Determine the fault road constraint of the traffic network according to the second topological information, ensure that the fault road is blocked, so that the capacity of the blocked road is 0:

[0095]

[0096] Among them, Q ij,I,s represents the capacity of road ij in the fault isolation stage Ι, μ ij,s represents whether there is a fault on road ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault. μ ji,s represents whether there is a fault on road ji, represents the initial capacity of road ij, represents the capacity of road ij in the opposite direction of Q ij,I,s in the fault isolation stage Ι, represents and the initial capacity of road ij in the opposite direction, L T represents the set of roads of the second topological information, and S represents the set of regions.

[0097] S2032. Determine the second topological reconstruction constraint for adjusting the road connection structure of the traffic network in the fault isolation stage according to the second topological information, and limit the number of blocked roads not to exceed the number of connected roads:

[0098]

[0099]

[0100] Among them, a ij,s,Ι represents whether the state of line ij in the fault isolation stage I is closed. If a ij,s,Ι = 1, it is closed; if a ij,s,Ι = 0, it is disconnected. e i,s (j) represents whether road ij is blocked. If e i,s (j) = 1, it is blocked; if e i,s (j) = 0, it is not blocked. L T represents the set of roads of the second topological information, S represents the set of regions, k represents the k-th element of e i,s , N c represents the number of connected roads, N T represents the set of nodes of the second topological information, ξ represents the set of section states, m ij,s represents the function mapping of the blocked road ij to the node, and respectively represent the forward lane capacity and the reverse lane capacity after road adjustment during the fault isolation stage Ι, and B represents the set of blocked roads.

[0101] S204. Determine the isolation operation constraints of the distribution network during the fault isolation stage according to the device information.

[0102] In an alternative implementation, the isolation operation constraints of the distribution network during the fault isolation stage include a total of 9 constraint conditions. Specifically,

[0103] Constraint condition 1 represents the active power balance of the distribution network during the fault isolation stage, specifically:

[0104]

[0105] Among them, represents the active power of the load at node j during the fault isolation stage Ι, represents the active power of the load loss at node j during the fault isolation stage Ι, represents the active power of power generation at node j during the fault isolation stage Ι, α(j) represents the set of parent nodes of node j in the distribution network, P ij,s,I represents the active power of line ij during the fault isolation stage Ι, β(j) represents the set of child nodes of node j in the distribution network, P jk,s,I represents the active power of line jk during the fault isolation stage Ι, N P represents the set of nodes of the first topological information, and S represents the area set.

[0106] Constraint condition 2 represents the reactive power balance of the distribution network during the fault isolation stage, specifically:

[0107]

[0108] Among them, represents the reactive power of the load at node j during the fault isolation stage Ι, represents the reactive power of the load loss at node j during the fault isolation stage Ι, represents the reactive power of power generation at node j during the fault isolation stage Ι, represents the reactive power of line ij during the fault isolation stage Ι, represents the reactive power of line jk during the fault isolation stage Ι.

[0109] Constraint condition 3 represents the voltage drop in the power line relaxed by the Big-M method during the fault isolation stage, specifically:

[0110]

[0111] Among them, the Big-M method, also known as the penalty factor method, transforms the constrained optimization problem into an unconstrained optimization problem by introducing a very large positive number M as the penalty factor, thus simplifying the solution process. u i,s,I represents the voltage of node i during the fault isolation stage Ι, u j,s,I represents the voltage of node j during the fault isolation stage Ι, r ij represents the impedance of line ij, x ij represents the admittance of line ij, u m represents the voltage amplitude, M represents an extremely large positive number, a ij,s,Ι represents whether the state of line ij during the fault isolation stage I is closed. If a ij,s,Ι = 1, it is closed, a ij,s,Ι = 0, it is open, L P represents the set of lines of the first topological information.

[0112] Constraint 4 limits the active power capacity of the closed lines during the fault isolation stage, specifically:

[0113]

[0114] Among them, represents the maximum capacity of line ij, P ij,s,I represents the active power of line ij during the fault isolation stage Ι, a ij,s,Ι represents whether the state of line ij during the fault isolation stage I is closed. If a ij,s,Ι = 1, it is closed, a ij,s,Ι = 0, it is open.

[0115] Constraint 5 limits the reactive power capacity of the closed lines during the fault isolation stage, specifically:

[0116]

[0117] Among them, represents the reactive power of line ij during the fault isolation stage Ι.

[0118] Constraint 6 limits the voltage amplitude of the distribution network during the fault isolation stage, specifically:

[0119]

[0120] Among them, u i,min and u i,max respectively represent the lower voltage limit and the upper voltage limit of node i, u i,s,I represents the voltage of node i during the fault isolation stage Ι.

[0121] Constraint 7 limits the active power output by the generator sets of the distribution network during the fault isolation stage, specifically:

[0122]

[0123] Among them, d i,s,I indicates whether node i of the first topological information belongs to the fault area in the fault isolation stage Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area. and respectively represent the lower limit and upper limit of the active power of node i. represents the active power generated by node i in the fault isolation stage Ι of the power grid, and N P represents the node set of the first topological information.

[0124] Constraint 8 restricts the reactive power output by the generator sets of the distribution network in the fault isolation stage, specifically:

[0125]

[0126] Among them, and respectively represent the lower limit and upper limit of the reactive power of node i. represents the reactive power generated by node i in the fault isolation stage Ι of the power grid.

[0127] Constraint 9 indicates that the load shedding amount of the distribution network in the fault isolation stage does not exceed the load amount of the distribution network in the fault isolation stage, specifically:

[0128]

[0129] Among them, represents the active power of the load of node i in the fault isolation stage Ι, represents the active power of the load shedding of node i in the fault isolation stage Ι, represents the reactive power of the load of node i in the fault isolation stage Ι, represents the reactive power of the load shedding of node i in the fault isolation stage Ι.

[0130] S205. Construct a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the fault propagation constraint, the first topological reconstruction constraint, the fault road constraint, the second topological reconstruction constraint, and the isolation operation constraint.

[0131] In an optional implementation manner, the objective function of the system isolation model is specifically:

[0132]

[0133] Among them, represents the active power loss of node i in the fault isolation stage Ι, and T Ιrepresents the fault isolation time, T0 represents the fault occurrence time, ω i represents the load weight, N p represents the node set of the first topological information, Q ij,I,s represents the capacity of road ij in the fault isolation stage Ι, L T represents the road set of the second topological information.

[0134] S30. Construct a system restoration model with the goal of minimizing the power outage load and the vehicle travel time according to the topological information, the device information, and the road traffic flow.

[0135] Specifically, step S30 includes:

[0136] S301. Determine the travel time cost of the road according to the road traffic flow.

[0137] Specifically,

[0138] Among them, represents the travel time cost of road a when the traffic flow is f a A represents the road set, β represents the economic value of time, represents the travel time of free flow, Q a represents the capacity of road a.

[0139] S302. Construct a traffic network scheduling model according to the road traffic flow and the travel time cost.

[0140] Specifically, step S302 includes:

[0141] S3021. Determine the allocation constraints of the road traffic flow, and construct a traffic network scheduling model with the goal of minimizing the travel time of all vehicles according to the allocation constraints and the travel time cost.

[0142] Specifically, the allocation constraints of the road traffic flow include two:

[0143] Constraint condition 1 means that the sum of the traffic flows of all paths between any one O (Origin, starting point)-D (Destination, ending point) pair is equal to the total travel demand of this O-D pair. Specifically:

[0144]

[0145] Among them, x r,i represents the traffic flow of the O-D pair i on the path r. Among them, x r,i ≥0, d i represents the travel demand of electric vehicles in the O-D pair i, I represents the O-D pair set, R iDenotes the set of paths for the O-D pair i.

[0146] Constraint 2 means that the traffic flow on the road is equal to the total traffic flow passing through this section on all paths between the O-D pairs. Specifically:

[0147]

[0148] Among them, Ψ a,i Indicates whether section a belongs to path i. If Ψ a,i = 1, then section a belongs to path i. If Ψ a,i = 0, then section a belongs to other paths, and f a Indicates the traffic flow on road a.

[0149] In an alternative embodiment, the objective function of the traffic network scheduling model is specifically:

[0150]

[0151] Among them, f a Indicates the traffic flow on road a, Indicates the travel time cost of road a when the traffic flow is f a at that time.

[0152] S303. Construct a system restoration model with the goal of minimizing the power outage load and the vehicle travel time according to the topological information, the device information, and the traffic network scheduling model.

[0153] Specifically, step S303 includes:

[0154] S3031. Determine the third topological reconstruction constraint for the distribution network to disconnect the lines in the fault area according to the first topological information to ensure that the topological structure of the distribution network is radial.

[0155] Specifically, step S3031 includes:

[0156]

[0157] Among them, μ ij,s Indicates whether there is a fault on road ij. If it is 1, there is a fault. If it is 0, there is no fault. α ij,s,I Indicates whether line ij is closed in the fault isolation stage Ι. α ij,s,II Indicates whether line ij is closed in the service restoration stage ΙΙ. If it is 1, it is closed. If it is 0, it is disconnected. k ij,0 Indicates whether the line ij in the fault isolation stage I is equipped with a sectional switch. If it is 1, there is one. If it is 0, there is none. L p Indicates the set of lines of the first topological information, S indicates the set of regions, z ij,s,IIIndicates the virtual flow direction of line ij in service restoration stage II. If it is 1, it is from node i to node j; if it is 0, it is the opposite. π(j) represents the set of parent nodes of node j after the distribution network line is disconnected, and δ(j) represents the set of child nodes of node j after the distribution network line is disconnected. Z sj,s,II Indicates the virtual flow direction of line sj in service restoration stage II, k j Indicates whether node j is a substation bus. If it is 1, it is; if it is 0, it is not. dk j Indicates whether there is a generator connected to node j. If it is 1, there is; if it is 0, there is none. γ j,s,II Indicates whether generator node j is a regional root node. If it is 1, it is; if it is 0, it is not. N p Represents the set of nodes of the first topological information, d i,s,I And d j,s,I Respectively indicate whether node i and node j of the first topological information belong to the fault area in fault isolation stage I.

[0158] It should be noted that the constraint conditions in the above step S3031 are the same as those in the above step S202. Similarly, the topological structure reconstruction is realized by controlling the line switches of the distribution network, so as to realize the fault recovery. In addition, the constraint conditions in the above step 3031 also apply to the topological reconstruction of the transportation network in the service restoration stage.

[0159] S3032. Determine the restoration operation constraints of the distribution network in the service restoration stage according to the device information.

[0160] In an optional implementation manner, the restoration operation constraints of the distribution network in the service restoration stage include a total of 10 constraint conditions. Specifically,

[0161] Constraint condition 1 indicates the active power balance of the distribution network in the service restoration stage. Specifically:

[0162]

[0163] Among them, Indicates the load active power of node j in service restoration stage II, t represents the time, Indicates the unloaded active power of node j in service restoration stage II, Indicates the generated active power of node j in service restoration stage II, α(j) represents the set of parent nodes of distribution network node j, Indicates the active power of line ij in service restoration stage II, β(j) represents the set of child nodes of distribution network node j, Indicates the active power of line jk in service restoration stage II, N P Represents the set of nodes of the first topological information, T represents the time set, and S represents the area set.

[0164] Constraint 2 represents the reactive power balance of the distribution network during the service restoration phase, specifically as follows:

[0165]

[0166] Among them, represents the reactive power of the load at node j in stage ΙΙ of the service restoration phase, t represents the time, represents the reactive power of the load loss at node j in stage ΙΙ of the service restoration phase, represents the reactive power generation at node j in stage ΙΙ of the service restoration phase, represents the reactive power of line ij in stage ΙΙ of the service restoration phase, represents the reactive power of line jk in stage ΙΙ of the service restoration phase.

[0167] Constraint 3 represents the voltage drop in the power line relaxed by the Big-M method during the service restoration phase, specifically as follows:

[0168]

[0169] Among them, represents the voltage at node i in stage ΙΙ of the service restoration phase, represents the voltage at node j in stage ΙΙ of the service restoration phase, r ij represents the impedance of line ij, x ij represents the admittance of line ij, u m represents the voltage amplitude, M represents a very large number, α ij,s,II represents whether line ij in stage ΙΙ of the service restoration phase is closed. If it is 1, it is closed; if it is 0, it is open, L P represents the set of lines of the first topological information.

[0170] Constraint 4 limits the active power capacity of the closed lines during the service restoration phase, specifically as follows:

[0171]

[0172] Among them, represents the maximum capacity of line ij, represents the active power of line ij in stage ΙΙ of the service restoration phase.

[0173] Constraint 5 limits the reactive power capacity of the closed lines during the service restoration phase, specifically as follows:

[0174]

[0175] Among them, represents the reactive power of line ij in stage ΙΙ of the service restoration phase.

[0176] Constraint 6 limits the voltage amplitude of the distribution network during the service restoration stage, specifically as follows:

[0177]

[0178] where u i,min and u i,max represent the lower and upper voltage limits of node i respectively, represents the voltage of node i during service restoration stage II.

[0179] Constraint 7 limits the active power output by the generator sets of the distribution network during the service restoration stage, specifically as follows:

[0180]

[0181] where d i,s,II indicates whether node i of the first topology information belongs to the fault area during service restoration stage II. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area. and represent the lower and upper limits of the active power of node i respectively, represents the active power generated by node j during service restoration stage II.

[0182] Constraint 8 limits the reactive power output by the generator sets of the distribution network during the service restoration stage, specifically as follows:

[0183]

[0184] where, and represent the lower and upper limits of the reactive power of node i respectively, represents the reactive power generated by node j during service restoration stage II.

[0185] Constraint 9 indicates that the load shedding amount of the distribution network during the service restoration stage does not exceed the load amount of the distribution network during the service restoration stage, specifically as follows:

[0186]

[0187] where, represents the active power of the load of node i during service restoration stage II, represents the active power of the load shedding of node i during service restoration stage II, represents the reactive power of the load of node i during service restoration stage II, represents the reactive power of the load shedding of node i during service restoration stage II.

[0188] Constraint condition 10 represents the load power balance of the coupled charging station nodes of the distribution network and the transportation network during the service restoration stage, specifically:

[0189]

[0190] Among them, represents the active load power of node i during service restoration stage II, represents the active load of node i during service restoration stage II, represents the original load of node i at time t, represents the set of coupled charging station nodes in the first topological information, χ EV represents the charging amount of each electric vehicle, f a represents the number of electric vehicles on road a connected to the charging station in the transportation network, represents the set of coupled charging station roads in the second topological information.

[0191] S3033. Determine the fourth topological reconstruction constraint for adjusting the road connection structure and road direction of the transportation network during the service restoration stage according to the second topological information.

[0192] Specifically, step S3033 includes:

[0193] Constraint condition 1 represents modifying the reconfigured road capacity, specifically:

[0194]

[0195] Constraint condition 2 represents that the directions of the forward road and the reverse road cannot be reversed simultaneously, specifically:

[0196]

[0197] Constraint condition 3 represents that the total number of roads with reversed directions cannot exceed the total number of roads in the transportation network, specifically:

[0198]

[0199] Among them, represents the road capacity after road ij is reversed during service restoration stage II, represents during service restoration stage II and the road capacity after road ij in the opposite direction is reversed, c ij,s and respectively represent whether the directions of the forward road ij and the reverse road ij are reversed, N l represents the total number of roads.

[0200] It should be noted that due to the implementation of road direction reversal, vehicles in a certain direction of the traffic network roads are intercepted, while the road capacity in the other direction is greatly increased.

[0201] S3034. Construct a system restoration model with the goal of minimizing the lost power load and the vehicle travel time according to the third topology reconstruction constraint, the restoration operation constraint, the fourth topology reconstruction constraint, and the traffic network scheduling model.

[0202] In an alternative implementation, the objective function of the system restoration model is specifically:

[0203]

[0204] where, represents the active power loss of node i at time t in service restoration stage ΙΙ, T ΙΙ represents the service restoration time, T Ι represents the fault isolation time, ω i represents the load weight, N p represents the set of nodes of the first topology information, f a represents the traffic flow of road a, represents the travel time cost of road a when the traffic flow is f a and a represents the set of roads of the second topology information.

[0205] S40. Solve and calculate the topology results of the electric-traffic coupled system in the fault isolation stage and the service restoration stage respectively through the system isolation model and the system restoration model, obtain the first target topology information and the second target topology information, and generate a coordinated scheduling plan according to the first target topology information and the second target topology information.

[0206] Specifically, first solve the objective function based on the constraint conditions corresponding to the system isolation model to obtain the first target topology information of the electric-traffic coupled system in the fault isolation stage, so that the lost load of the electric-traffic coupled system is minimized and the road capacity is maximized. Then solve the objective function based on the constraint conditions corresponding to the system restoration model to obtain the second target topology information of the electric-traffic coupled system in the service restoration stage, so that the lost load of the electric-traffic coupled system is minimized and the vehicle travel time is minimized.

[0207] Both the first target topology information and the second target topology information in the above step S40 include the reconstructed topology information of the distribution network and the traffic network.

[0208] Please refer to Figure 2 For the second embodiment of the present invention:

[0209] A post-disaster collaborative scheduling terminal 100 for an electric transportation coupling system, comprising a memory 101, a processor 102, and a computer program stored on the memory 101 and running on the processor 102. When the processor 102 executes the computer program, each step in the post-disaster collaborative scheduling method for an electric transportation coupling system in the above-mentioned Embodiment 1 is implemented.

[0210] In summary, the present invention provides a post-disaster collaborative scheduling method and terminal for an electric transportation coupling system. In the fault isolation stage, topological reconstruction of the power distribution network and the transportation network is performed through a system isolation model. By determining the fault propagation constraints between the power distribution network and the transportation network, as well as the topological reconstruction constraints of the power distribution network and the transportation network respectively, the propagation process of faults between the power system and the transportation system can be accurately simulated, and a reasonable fault isolation strategy can be determined accordingly, thereby reducing the power outage load and ensuring the maximization of road capacity at the same time. In the service restoration stage, topological reconstruction of the power distribution network and the transportation network is performed through a system restoration model. The system restoration model not only considers the restoration requirements of the power system but also takes into account the traffic guidance requirements of the transportation system. By determining the distribution constraints of road traffic flow and the driving time cost to construct a transportation network scheduling model and combining it with the restoration operation constraints and topological reconstruction constraints of the power distribution network, a complete system restoration model is formed, which can effectively shorten the fault restoration time, reduce the vehicle driving cost, and improve the overall operation efficiency of the system while ensuring the safe and stable operation of the power system.

[0211] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent transformation made by using the description and drawings of the present invention, or directly or indirectly applied in related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A post-disaster collaborative scheduling method for an electric traffic coupling system, characterized in that, Including: Obtain the topological information, equipment information, and road traffic flow of the electric transportation coupling system in the fault area, where the topological information includes the first topological information of the distribution network and the second topological information of the transportation network; Construct a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the topological information and the equipment information; Construct a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topological information, the equipment information, and the road traffic flow; Solve and calculate the topological results of the electric transportation coupling system in the fault isolation stage and the service restoration stage through the system isolation model and the system restoration model respectively to obtain the first target topological information and the second target topological information, and generate a coordinated scheduling plan according to the first target topological information and the second target topological information.

2. The method according to claim 1, characterized in that, Constructing a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the topological information and the equipment information includes: Determine the fault propagation constraint between the distribution network and the transportation network according to the coupled charging station nodes between the first topological information and the second topological information; Determine the first topological reconstruction constraint for the target feeder affected by the fault area in the distribution network to access the normal feeder according to the first topological information; Determine the fault road constraint of the transportation network and the second topological reconstruction constraint for adjusting the road connection structure in the fault isolation stage according to the second topological information; Determine the isolation operation constraint of the distribution network in the fault isolation stage according to the equipment information; Construct a system isolation model with the goal of minimizing the power outage load and maximizing the road capacity according to the fault propagation constraint, the first topological reconstruction constraint, the fault road constraint, the second topological reconstruction constraint, and the isolation operation constraint.

3. The method according to claim 1, characterized in that, Constructing a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topological information, the equipment information, and the road traffic flow includes: Determine the travel time cost of the road according to the road traffic flow; Construct a transportation network scheduling model according to the road traffic flow and the travel time cost; Construct a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topological information, the equipment information, and the transportation network scheduling model.

4. The method according to claim 3, characterized in that, Constructing a transportation network scheduling model according to the road traffic flow and the travel time cost includes: Determine the distribution constraint of the road traffic flow, and construct a transportation network scheduling model with the goal of minimizing the travel time of all vehicles according to the distribution constraint and the travel time cost.

5. The method according to claim 4, wherein Constructing a system restoration model with the goal of minimizing the power outage load and minimizing the vehicle travel time according to the topological information, the equipment information, and the transportation network scheduling model includes: Determine the third topological reconstruction constraint for the distribution network to disconnect the line in the fault area according to the first topological information; Determine the restoration operation constraint of the distribution network in the service restoration stage according to the equipment information; Determine the fourth topological reconstruction constraint for the transportation network to adjust the road connection structure and road direction in the service restoration stage according to the second topological information. Construct a system restoration model with the goal of minimizing the power outage load and the vehicle travel time according to the third topology reconstruction constraint, the restoration operation constraint, the fourth topology reconstruction constraint, and the transportation network scheduling model.

6. The method according to claim 2, wherein The fault propagation constraint between the distribution network and the transportation network determined according to the coupled charging station nodes between the first topology information and the second topology information includes: where d i,s,I and d j,s,I respectively indicate whether node i and node j of the first topological information or the second topological information belong to the fault area during the fault isolation phase Ι. If it is 1, it belongs to the fault area; if it is 0, it does not belong to the fault area. μ ij,s indicates whether there is a fault on line ij or road ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault. α ij,0 indicates the state of line ij or road ij. If α ij,0 = 1, it is closed; if α ij,0 = 0, it is open. S represents the set of regions, L P represents the set of lines of the first topological information, L T represents the set of roads of the second topological information, d q,s,I indicates whether the coupled charging station node q of the first topological information belongs to the fault area, d r,s,I indicates whether the coupled charging station node r of the second topological information belongs to the fault area, and respectively represent the set of coupled charging stations of the first topological information and the set of coupled charging stations of the second topological information.

7. The method according to claim 2, characterized in that, The fault road constraint of the transportation network and the second topology reconstruction constraint for adjusting the road connection structure in the fault isolation stage determined according to the second topology information include: The fault road constraint of the transportation network determined according to the second topology information: Among them, Q ij,I,s represents the capacity of road ij in fault isolation stage Ι, μ ij,s represents whether there is a fault on road ij. If μ ij,s = 1, there is a fault; if μ ij,s = 0, there is no fault. μ ji,s represents whether there is a fault on road ji, represents the initial capacity of road ij, represents the capacity of road ij in the opposite direction of fault isolation stage Ι and Q ij,I,s in the opposite direction, represents the initial capacity of road ij in the opposite direction of in the opposite direction, L T represents the set of roads of the second topological information, and S represents the set of regions; The second topology reconstruction constraint for adjusting the road connection structure of the transportation network in the fault isolation stage determined according to the second topology information: Among them, α ij,s,I indicates whether road ij is closed in Fault Isolation Phase Ι. If it is 1, it is closed; if it is 0, it is open. e i,s (j) indicates whether road ij is blocked. If e i,s (j) = 1, it is blocked; e i,s (j) = 0, it is unblocked. L T represents the set of roads of the second topological information, S represents the set of regions, k represents e i,s the k-th element of, N c represents the number of connected roads, N T represents the set of nodes of the second topological information, ξ represents the set of road section states, m ij,s represents the function mapping of the blocked road ij to the node, and respectively represent the forward lane capacity and the reverse lane capacity after road adjustment in Fault Isolation Phase Ι. B represents the set of blocked roads.

8. The method according to claim 5, wherein The third topology reconstruction constraint for the distribution network to disconnect the lines in the fault area determined according to the first topology information includes: Among them, α ij,s,II indicates whether line ij is closed in service restoration stage II. If it is 1, it is closed; if it is 0, it is open. k ij,0 indicates whether line ij is equipped with sectionalizing switches. If k ij,0 = 1, it means there is; if k ij,0 = 0, it means there is none. z ij,s,II indicates the virtual flow direction of line ij in service restoration stage II. If it is 1, it is from node i to node j; if it is 0, it is the opposite. k j indicates whether node j is a substation bus. If it is 1, it is; if it is 0, it is not. dk j indicates whether there is a generator connected to node j. If it is 1, there is; if it is 0, there is none. γ j,s,II indicates whether generator node j is a regional root node. If it is 1, it is; if it is 0, it is not.

9. The method according to claim 5, wherein The fourth topology reconstruction constraint for the transportation network to adjust the road connection structure and road direction in the service restoration stage determined according to the second topology information includes: Among them, represents the road capacity after the reverse of road ij in service restoration stage II, represents in service restoration stage II and the road capacity after the reverse of road ij in the opposite direction, c ij,s and respectively represent whether the forward road ij and the reverse road ij are reversed, N l represents the total number of roads.

10. A post-disaster collaborative scheduling terminal for an electric traffic coupling system, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements each step in a post-disaster collaborative scheduling method for an electric transportation coupling system according to any one of claims 1-9.

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