Methods and devices for emergency repair of regional integrated energy systems based on post-disaster road conditions

Abstract

This invention discloses a method and apparatus for emergency repair of regional integrated energy systems based on post-disaster road conditions. The method integrates electricity, gas, and heat energy links to construct a topological aggregate network, and couples it with a transportation network to build an integrated electricity-gas-heat-transportation network model. Damage information from the energy system and transportation network is input into the model for processing, and the location of repair teams and traffic information are output. The repair time is calculated by setting a repair time calculation strategy; the recoverable load of the electricity-gas-heat system at the disaster point is calculated by setting a load calculation strategy; the expected load recovery efficiency at the fault point is calculated by setting a load recovery efficiency calculation strategy; and an emergency repair strategy is determined based on the expected load recovery efficiency. The dispatch center then dispatches repair teams to perform repair tasks according to the emergency repair strategy. This invention improves load recovery speed and enhances system resilience while maintaining a constant total repair volume.

Description

Technical Field

[0001] This invention relates to the field of integrated energy system resilience enhancement and fault repair technology, specifically to a method and device for fault repair of regional integrated energy systems based on post-disaster road conditions. Background Technology

[0002] In recent years, energy shortages and environmental pollution have become increasingly prominent issues. Promoting energy efficiency improvements and transitioning towards low-carbon development has become an inevitable trend in the energy and power industry. Constructing Regional Integrated Energy Systems (RIES) to integrate various energy forms such as electricity, gas, and heat can further improve energy efficiency and economy, representing a significant future development trend for energy systems. However, the increasing frequency of natural disasters and extreme weather events in recent years has posed new challenges to the reliable and safe operation of RIES. Abnormal RIES power supply caused by extreme disasters can lead to power outages, gas outages, and interruptions in indoor heating. Therefore, taking measures to effectively improve the post-disaster recovery capacity of energy systems can reduce the impact of failures caused by extreme weather and ensure the smooth operation of residents' daily lives and the socio-economic system. Optimizing fault repair and dispatching can quickly and effectively address system failures and improve system resilience. To this end, scholars both domestically and internationally have conducted in-depth research on the problem of energy system fault repair and dispatching under extreme disasters.

[0003] Currently, existing research rarely considers the dynamic changes in load demand and actual road traffic conditions during emergency repairs, making it impossible to achieve effective and accurate scheduling.

[0004] Therefore, how to invent a method for emergency repair of regional integrated energy system failures, while ensuring that the total amount of repairs remains unchanged, and effectively improve the repair speed, has become an urgent problem to be solved. Summary of the Invention

[0005] To address this, the present invention provides a method and apparatus for emergency repair of regional integrated energy system faults based on post-disaster road conditions. By combining repair resources with the location of faulty components, the current status of the energy system and transportation network, and aiming at maximizing load recovery efficiency, the invention achieves scientific scheduling of repair resources through rolling optimization and dynamic allocation of repair tasks. This effectively improves the repair speed while ensuring that the total amount of repairs remains unchanged.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for emergency repair of regional integrated energy systems based on post-disaster road conditions, comprising:

[0007] The energy links of electricity, gas, and heat are integrated to construct a topological aggregate network; the topological aggregate network is coupled with the transportation network to construct an integrated network model of electricity, gas, heat, and transportation.

[0008] The energy system and transportation network damage information during extreme disasters are input into the fusion network model of electricity, gas, heat and transportation; the fusion network model processes the data and outputs the location of the repair team's vehicles and traffic information.

[0009] Based on the location of the repair team's vehicles and the traffic information, the time required to repair the fault is calculated by setting a repair time calculation strategy.

[0010] By setting a load calculation strategy, the recoverable power-gas-heat system load at the disaster site can be calculated.

[0011] Based on the recoverable power-gas-heat system load, the expected load recovery efficiency at the fault point is calculated by setting a load recovery efficiency calculation strategy.

[0012] Based on the fault repair time and the expected load recovery efficiency of the fault point, a fault repair strategy is determined.

[0013] According to the aforementioned fault repair strategy, the dispatch center dispatches repair teams to carry out repair tasks.

[0014] As a preferred solution for the regional integrated energy system fault repair method based on post-disaster road conditions, in the process of inputting the energy system and transportation network damage information during the passage of extreme disasters into the electricity-gas-heat-transportation integrated network model, the energy system and transportation network damage information includes: energy system component parameters and operating parameter set, transportation network structure and geographical location information set, repair vehicle driving parameter set, fault repair time set, accident passage time, and energy system fault at the time of accident passage.

[0015] As a preferred method for emergency repair of regional integrated energy system faults based on post-disaster road conditions, in the process of calculating the fault repair time using the set repair time calculation strategy, the calculation formula of the set repair time calculation strategy is as follows:

[0016] t e =t path,ck +t rep,e

[0017]

[0018] t rep,e =λ se,e λ ra,e t re,e

[0019] In the formula, t e The estimated total time for the emergency repair of faulty component e; t rep,e The estimated repair time required for faulty component e; tpath,ck The minimum travel time between points c and k; E is the set of road segments in the transportation network; (i,j) is the road segment between nodes i and j; b ij The variables are 0-1, where 1 indicates that the path passes through the segment (i,j) between nodes i and j, and 0 indicates that it does not pass through the segment. pass,ij λ is the sum of the travel time and waiting time of a vehicle located between nodes i and j in the traffic network; se,e λ is the fault severity coefficient of component e, whose value is related to the fault scenario and takes a value in the range (0,1]; ra,e The repair efficiency coefficient for component e is related to the skill level and number of repair personnel, and is generally set to 0.9; t re,e This is the basic fault repair time value for component e.

[0020] As a preferred method for emergency repair of regional integrated energy system faults based on post-disaster road conditions, the formula for calculating the expected load recovery efficiency of the fault point is as follows:

[0021]

[0022] In the formula, f e The expected load recovery efficiency resulting from the repair of faulty component e; F e The estimated total load recovery for component e during repair; φ is the expected load restoration at power node m due to component e's fault repair. E Represents the set of power grid nodes. This represents the total load restoration for each power node; To compensate for the expected load recovery at gas node n caused by the faulty component e, φ G Represents the set of gas network nodes; φ represents the load recovery amount at thermal node i. H Represents the set of nodes in the heating network; α E α G α H These are the weighting factors for electrical load, gas load, and heat load, respectively. When there is no particular emphasis, α can be taken as... E =α G =α H =1.

[0023] As a preferred method for emergency repair of regional integrated energy systems based on post-disaster road conditions, the dispatch center dispatches repair teams to perform repair tasks according to the aforementioned emergency repair strategy, and the steps are as follows:

[0024] The dispatch center dispatches emergency repair teams to carry out emergency repair tasks;

[0025] The dispatch center assesses whether there are any available emergency repair teams; if not, it waits for the repair teams to complete their tasks; if so, it proceeds to the next step.

[0026] The dispatch center determines whether there are any unassigned repair points; if not, it proceeds to the next step; if so, it determines whether this is the last fault; if so, it dispatches the repair team to perform the repair task; if not, it calculates the repair time and expected load restoration efficiency for the remaining repair points, updates the dispatch strategy, and dispatches the repair team to perform the repair task according to the updated dispatch strategy.

[0027] The dispatch center determines whether all faults have been repaired; if not, it waits for the emergency repair task to finish; if so, it records the emergency repair data, which includes: load restoration status and total repair time.

[0028] As a preferred option for the regional integrated energy system fault repair method based on post-disaster road conditions, the resilience index of the electrical, gas, and heat subsystems is used as the evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience and the better the fault repair strategy.

[0029] The expression for the toughness index of an electrical, gas, and thermal subsystem is:

[0030]

[0031] In the formula, R E R G R H These are the resilience indices for the power system, gas system, and heating system, respectively; t0 is the start time of the emergency repair strategy; t1 is the end time of the emergency repair. and These represent the active load reduction at time t, the gas load reduction at the gas node, and the heat load reduction at the thermal node, respectively.

[0032] This invention also provides a regional integrated energy system fault repair device based on post-disaster road conditions, and a regional integrated energy system fault repair method based on the above post-disaster road conditions, including:

[0033] The module for constructing an integrated network model of electricity, gas, heat and transportation is used to integrate the energy links of electricity, gas and heat to construct a topology set network; and to couple the topology set network with the transportation network to construct an integrated network model of electricity, gas, heat and transportation.

[0034] The electricity-gas-heat-transportation integrated network model processing module is used to input the energy system and transportation network damage information during extreme disasters into the electricity-gas-heat-transportation integrated network model; through the processing of the electricity-gas-heat-transportation integrated network model, it outputs the location of the repair team's vehicles and traffic information;

[0035] The fault repair time calculation module is used to calculate the fault repair time based on the location of the emergency repair team's vehicles and the traffic information by setting a repair time calculation strategy.

[0036] The recoverable power-gas-heat system load calculation module is used to calculate the recoverable power-gas-heat system load at the disaster point by setting a load calculation strategy.

[0037] The expected load recovery efficiency calculation module is used to calculate the expected load recovery efficiency of the fault point based on the recoverable power-gas-heat system load and by setting a load recovery efficiency calculation strategy.

[0038] The fault repair strategy acquisition module is used to determine the fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point.

[0039] The fault repair strategy execution module is used by the dispatch center to dispatch repair teams to perform repair tasks according to the fault repair strategy.

[0040] As a preferred solution for a regional integrated energy system fault repair device based on post-disaster road conditions, in the process of inputting the energy system and transportation network damage information during the passage of an extreme disaster into the energy-gas-heat-transportation integrated network model processing module, the energy system and transportation network damage information includes: energy system component parameters and operating parameter set, transportation network structure and geographical location information set, repair vehicle driving parameter set, fault repair time set, accident passage time, and energy system fault at the time of accident passage.

[0041] As a preferred embodiment of a regional integrated energy system fault repair device based on post-disaster road conditions, in the fault repair time calculation module, during the process of calculating the fault repair time using the set repair time calculation strategy, the calculation formula of the set repair time calculation strategy is as follows:

[0042] t e =t path,ck +t rep,e

[0043]

[0044] t rep,e =λ se,e λra,e t re,e

[0045] In the formula, t e The estimated total time for the emergency repair of faulty component e; t rep,e The estimated repair time required for faulty component e; t path,ck The minimum travel time between points c and k; E is the set of road segments in the transportation network; (i,j) is the road segment between nodes i and j; b ij The variables are 0-1, where 1 indicates that the path passes through the segment (i,j) between nodes i and j, and 0 indicates that it does not pass through the segment. pass,ij λ is the sum of the travel time and waiting time of a vehicle located between nodes i and j in the traffic network; se,e λ is the fault severity coefficient of component e, whose value is related to the fault scenario and takes a value in the range (0,1]; ra,e The repair efficiency coefficient for component e is related to the skill level and number of repair personnel, and is generally set to 0.9; t re,e This is the basic fault repair time value for component e.

[0046] As a preferred embodiment of the regional integrated energy system fault repair device based on post-disaster road conditions, the calculation formula for the expected load recovery efficiency of the fault point in the expected load recovery efficiency calculation module is as follows:

[0047]

[0048] In the formula, f e The expected load recovery efficiency resulting from the repair of faulty component e; F e The estimated total load recovery for component e during repair; φ is the expected load restoration at power node m due to component e's fault repair. E Represents the set of power grid nodes. This represents the total load restoration for each power node; To compensate for the expected load recovery at gas node n caused by the faulty component e, φ G Represents the set of gas network nodes; φ represents the load recovery amount at thermal node i. H Represents the set of nodes in the heating network; α E α G α H These are the weighting factors for electrical load, gas load, and heat load, respectively. When there is no particular emphasis, α can be taken as... E =α G =α H =1.

[0049] As a preferred embodiment of the regional integrated energy system fault repair device based on post-disaster road conditions, the fault repair strategy execution module includes a dispatching submodule of the dispatching center, which comprises:

[0050] The task execution submodule is used by the dispatch center to dispatch emergency repair teams to perform emergency repair tasks;

[0051] The available emergency repair team quantity judgment submodule is used by the dispatch center to determine whether there are still available emergency repair teams; if not, it waits for the emergency repair team to complete its task; if so, it proceeds to the next step.

[0052] The emergency repair point status judgment submodule is used by the dispatch center to determine whether there are any unassigned emergency repair points. If not, it proceeds to the next step. If there are, it determines whether this is the last fault. If so, it dispatches the emergency repair team to perform the emergency repair task. If not, it calculates the repair time and expected load restoration efficiency for the remaining emergency repair points, updates the dispatch strategy, and dispatches the emergency repair team to perform the emergency repair task according to the updated dispatch strategy.

[0053] The fault repair result judgment submodule is used by the dispatch center to determine whether all faults have been repaired; if not, it waits for the emergency repair task to finish; if so, it records the emergency repair data, which includes: load restoration status and total emergency repair time.

[0054] As a preferred option for a regional integrated energy system fault repair device based on post-disaster road conditions, the fault repair strategy acquisition module uses the resilience index of the electrical, gas, and thermal subsystems as the evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience and the better the fault repair strategy.

[0055] The expression for the toughness index of an electrical, gas, and thermal subsystem is:

[0056]

[0057] In the formula, R E R G R H These are the resilience indices for the power system, gas system, and heating system, respectively; t0 is the start time of the emergency repair strategy; t1 is the end time of the emergency repair. and These represent the active load reduction at time t, the gas load reduction at the gas node, and the heat load reduction at the thermal node, respectively.

[0058] This invention has the following advantages: It integrates the electricity, gas, and heat energy links to construct a topological aggregate network; it couples this topological aggregate network with a transportation network to construct an electricity-gas-heat-transportation integrated network model; it inputs information on energy system and transportation network damage during extreme disasters into the electricity-gas-heat-transportation integrated network model; through processing by the model, it outputs the location of repair team vehicles and traffic information; based on the vehicle locations and traffic information, it calculates the fault repair time by setting a repair time calculation strategy; it calculates the recoverable load of the power-gas-heat system at the disaster point by setting a load calculation strategy; based on the recoverable power-gas-heat system load, it calculates the expected load recovery efficiency at the fault point by setting a load recovery efficiency calculation strategy; it determines the fault repair strategy based on the fault repair time and the expected load recovery efficiency; and the dispatch center dispatches repair teams to perform repair tasks according to the fault repair strategy. Specifically, the dispatch center schedules emergency repair teams to perform emergency repair tasks; the dispatch center determines if there are any more available emergency repair teams; if not, it waits for the emergency repair teams to complete their tasks; if so, it proceeds to the next step; the dispatch center determines if there are any unassigned repair points; if not, it proceeds to the next step; if so, it determines if this is the last fault; if so, it schedules an emergency repair team to perform the repair task; if not, it calculates the repair time and expected load restoration efficiency for the remaining repair points and updates the dispatch strategy; based on the updated dispatch strategy, it schedules emergency repair teams to perform the repair tasks; the dispatch center determines if all faults have been repaired; if not, it waits for the repair tasks to complete; if so, it records the repair data; the repair data includes: load restoration status and total repair time. This invention effectively improves load restoration efficiency while ensuring that the total number of repairs remains unchanged. Attached Figure Description

[0059] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0060] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0061] Figure 1 This is a schematic diagram of the process for emergency repair of a regional integrated energy system fault based on post-disaster road conditions provided in Embodiment 1 of the present invention;

[0062] Figure 2 This is a schematic diagram of the electricity-gas-heat-transportation integrated network model in the regional integrated energy system fault repair method based on post-disaster road conditions provided in Embodiment 1 of the present invention;

[0063] Figure 3 This is a schematic diagram of the mapping relationship between the regional integrated energy system and the transportation network in the regional integrated energy system fault repair method based on post-disaster road conditions provided in Embodiment 1 of the present invention; wherein, (a) is the topology set network of the regional integrated energy system; (b) is the transportation network; and (c) is the electricity-gas-heat-transportation integrated network.

[0064] Figure 4 This is a schematic diagram of the rolling update of the emergency repair optimization scheduling in the regional integrated energy system fault repair method based on post-disaster road conditions provided in Embodiment 1 of the present invention;

[0065] Figure 5 This is a schematic diagram of the RIES subnetworks and topology set network in one possible embodiment provided in Embodiment 1 of the present invention;

[0066] Figure 6 This is a schematic diagram of the geographical location of the transportation network in one possible embodiment of Embodiment 1 of the present invention;

[0067] Figure 7 This is a schematic diagram of the traffic network corresponding to one possible embodiment provided in Embodiment 1 of the present invention;

[0068] Figure 8 This is a schematic diagram of the load and power change curves of different emergency repair schemes in one possible embodiment of the present invention, provided in Embodiment 1 of the present invention;

[0069] Figure 9 This is a Gantt chart of various emergency repair schemes in one possible embodiment of Embodiment 1 of the present invention;

[0070] Figure 10 This is a schematic diagram of the architecture of the regional integrated energy system fault repair device based on post-disaster road conditions provided in Embodiment 2 of the present invention. Detailed Implementation

[0071] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0072] Example 1

[0073] See Figure 1 Embodiment 1 of the present invention provides a method for emergency repair of regional integrated energy system faults based on post-disaster road conditions, including the following steps:

[0074] S1. Integrate the electricity, gas, and heat energy links to construct a topology network; couple the topology network with the transportation network to construct an electricity-gas-heat-transportation integrated network model;

[0075] S2. Input the information on the damage to the energy system and transportation network during the passage of extreme disasters into the electric-gas-heat-transportation fusion network model; process the information through the electric-gas-heat-transportation fusion network model and output the location of the repair team's vehicles and traffic information;

[0076] S3. Based on the location of the emergency repair team's vehicles and the traffic information, calculate the fault repair time by setting a repair time calculation strategy;

[0077] S4. By setting a load calculation strategy, calculate the recoverable power-gas-heat system load at the disaster site;

[0078] S5. Based on the recoverable power-gas-heat system load, calculate the expected load recovery efficiency of the fault point by setting a load recovery efficiency calculation strategy;

[0079] S6. Determine the fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point;

[0080] S7. The dispatch center dispatches emergency repair teams to carry out emergency repair tasks according to the aforementioned fault repair strategy.

[0081] In this embodiment, in step S1, the electric-gas-heat energy links are integrated to construct a topology set network; the topology set network is coupled with the transportation network to construct an electric-gas-heat-transportation integrated network model.

[0082] Specifically, the electricity, gas, and heat energy links are integrated to form a topological aggregate network; this topological aggregate network is then coupled with a transportation network to construct an integrated electricity-gas-heat-transportation network model, such as... Figure 2As shown. In this embodiment, the integrated electric-gas-heat-transportation network model is referred to as RIES.

[0083] In this context, the node set of the topological set network is represented by φ. A Indicates, such as Figure 2 As shown. The node set of the topological set network is mapped to the traffic network, using φ. M Indicates, such as Figure 3 As shown in (c), by utilizing the integrated network of electricity, gas, heat, and transportation, combined with actual traffic information, it is possible to help estimate the execution time of emergency repair tasks and assist in the formulation of RIES emergency repair strategies.

[0084] In this embodiment, in step S2, the information on the damage to the energy system and transportation network during an extreme disaster is input into the fusion network model of electricity, gas, heat and transportation; the fusion network model of electricity, gas, heat and transportation processes the data and outputs the location of the repair team's vehicles and traffic information.

[0085] Specifically, information on damage to energy systems and transportation networks during extreme disasters is input into the fusion network model of electricity, gas, heat, and transportation; the fusion network model of electricity, gas, heat, and transportation presents the location of repair teams' vehicles and traffic information, facilitating dispatching by the dispatch center.

[0086] In this embodiment, in step S3, the fault repair time is calculated based on the location of the emergency repair team's vehicles and the traffic information by setting a repair time calculation strategy.

[0087] Specifically, the time required for fault recovery includes travel time and the time required to repair the faulty component.

[0088] The repair time for faulty components is also related to factors such as the severity of the fault and the efficiency of emergency repairs. The repair time for faults in heating pipelines differs from that in electrical and gas systems. The mathematical expression for this is:

[0089] t rep,e =λ se,e λ ra,e t re,e (1)

[0090] In the formula, t rep,e To estimate the repair time required for the faulty component e; λ se,e λ is the fault severity coefficient of component e, whose value is related to the fault scenario and takes a value in the range (0,1]; ra,e The repair efficiency coefficient for component e is related to the skill level and number of repair personnel, and is generally set to 0.9; t re,e This is the basic fault repair time value for component e.

[0091] Calculating travel time for a road segment requires determining the geographical location of the fault location to ascertain its distance to the nearest repair vehicle and the travel time required for the repair vehicle to reach the fault point. Existing research on repair travel time largely relies on existing data, estimating it by dividing distance by speed, but this cannot fully reflect traffic delays under special circumstances. To obtain more accurate travel times, two methods can be used: first, utilizing existing map apps (such as Gaode Maps) to update estimated road travel times in real time; second, constructing a real-time traffic network delay model based on road obstruction mathematical models to provide travel times between points for post-disaster rolling repair strategies. In extreme events, communication conditions may be affected, and online navigation services may encounter obstacles; using a traffic network delay model can provide travel time data references for post-disaster repair strategies.

[0092] To facilitate the description of repair vehicle travel time, the concept of the road resistance function from the Bureau of Public Roads (BPR) is introduced. In extreme events, road sections may experience damage such as landslides, resulting in reduced road capacity. The vehicle travel time in post-disaster conditions can be composed of normal travel time and delay time, mathematically expressed as:

[0093]

[0094] In the formula, t tra,ij The travel time of a vehicle between nodes i and j in the traffic network is the sum of the normal travel time and the delay time; t d,ij The normal travel time on the road; Q disaster,ij C represents the traffic flow parameters of the road between nodes i and j under a disaster; disaster,ij This represents the traffic capacity of the road between nodes i and j under disaster conditions; a and b are parameters to be calibrated.

[0095] In addition, considering the waiting rules of traffic lights at intersections, the above-mentioned road segment travel time model is combined with the road segment intersection waiting time model to form the following post-disaster transportation network actual travel time t. pass Model:

[0096]

[0097] In the formula, t fork,j t represents the required traffic light waiting time at node j in the traffic network; pass,ij This is the sum of the travel time and waiting time of the vehicle between nodes i and j in the traffic network.

[0098] Therefore, formula (3) represents the actual travel time after comprehensively considering the road conditions affected by the disaster and the waiting factors at traffic intersections.

[0099]

[0100]

[0101] In equation (4), E represents the set of road segments in the transportation network; (i,j) represents the road segment between nodes i and j; b ij φ is a 0-1 variable, where 1 indicates that the path passes through the segment (i,j) between nodes i and j, and 0 indicates that it does not pass through the segment; M Let represent the set of nodes in the transportation network. Equation (5) constrains the path to start from node c; Equation (6) constrains the path to end at node k; Equations (7) and (8) respectively constrain that each node in the path can connect to at most one outgoing route and one incoming route; Equation (9) constrains that the road segments along the way are continuous except for the starting point and the destination point.

[0102] b is obtained from equations (4) to (9) ij and t path,ck This allows us to obtain the minimum travel time and the corresponding path between points c and k.

[0103] Path={(i,j)b ij =1}(10)

[0104] Assume the repair team starts from its current location c and travels to point k to complete the repair of faulty component e. The estimated total time is:

[0105] t e =t path,ck +t rep,e (11)

[0106] In the formula, t rep,e This indicates the estimated repair time required for the faulty component e.

[0107] In this embodiment, in step S4, the recoverable power-gas-heat system load of the disaster-affected point is calculated by setting a load calculation strategy;

[0108] Specifically, the recoverable power-gas-heat system load at the disaster site is calculated using existing calculation strategies.

[0109] In this embodiment, in step S5, based on the recoverable power-gas-heat system load, the expected load recovery efficiency of the fault point is calculated by setting a load recovery efficiency calculation strategy.

[0110] Specifically, based on the aforementioned emergency repair time assessment model, the estimated time for repair personnel to reach each fault point and complete the repair can be obtained. The ratio of the total RIES load restoration brought about by fault point repair to the repair time is the load restoration amount per unit repair time, defined as the expected load restoration efficiency. The higher the load restoration efficiency, the better the system resilience. The fault repair strategy of this invention prioritizes repairing faulty components with the highest expected load restoration efficiency, based on the expected load restoration efficiency.

[0111]

[0112] In the formula, f e The expected load recovery efficiency resulting from the repair of faulty component e; F e The estimated total load recovery for component e during repair; φ is the expected load restoration at power node m due to component e's fault repair. E Represents the set of power grid nodes. This represents the total load restoration for each power node; To compensate for the expected load recovery at gas node n caused by the faulty component e, φ G Represents the set of gas network nodes; φ represents the load recovery amount at thermal node i. H Represents the set of nodes in the heating network; α E α G α H These are the weighting factors for electrical load, gas load, and heat load, respectively. When there is no particular emphasis, α can be taken as... E =α G =α H =1.

[0113] In this embodiment, under the tree topology, if the upper-level and lower-level components under the same branch fail at the same time, repairing only the lower-level faulty component will not bring about load recovery. Therefore, it is necessary to repair the upper-level faulty component first. This will be consistent with the sorting result calculated by Equation (14). Therefore, this model is applicable to both fault sorting that is independent of each other and fault sorting under the same branch.

[0114] In this embodiment, in step S6, a fault repair strategy is determined based on the fault repair time and the expected load recovery efficiency of the fault point.

[0115] Specifically, a fault repair strategy is determined based on the fault repair time and the expected load recovery efficiency of the fault point; the resilience index of the electrical, gas, and thermal subsystems is used as the evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience and the better the fault repair strategy.

[0116] The expression for the toughness index of an electrical, gas, and thermal subsystem is:

[0117]

[0118] In the formula, R E R G R H These are the resilience indices for the power system, gas system, and heating system, respectively; t0 is the start time of the emergency repair strategy; t1 is the end time of the emergency repair. and These represent the active load reduction at time t, the gas load reduction at the gas node, and the heat load reduction at the thermal node, respectively.

[0119] In this embodiment, in step S7, the dispatch center dispatches a repair team to perform the repair task according to the fault repair strategy.

[0120] The steps by which the dispatch center dispatches repair teams to perform repair tasks according to the aforementioned fault repair strategy are as follows:

[0121] S71. The dispatch center dispatches emergency repair teams to carry out emergency repair tasks;

[0122] S72. The dispatch center determines whether there are any available emergency repair teams; if not, it waits for the emergency repair teams to complete their tasks; if so, it proceeds to the next step.

[0123] S73. The dispatch center determines whether there are any unassigned emergency repair points. If not, it proceeds to the next step. If there are, it determines whether this is the last fault. If so, it dispatches the emergency repair team to perform the emergency repair task. If not, it calculates the repair time and expected load restoration efficiency for the remaining emergency repair points and updates the dispatch strategy. The emergency repair team is then dispatched to perform the emergency repair task according to the updated dispatch strategy.

[0124] S74. The dispatch center determines whether all faults have been repaired; if not, it waits for the emergency repair task to finish; if so, it records the emergency repair data, which includes: load restoration status and total emergency repair time.

[0125] Specifically, since there are multiple routes to the fault location, repair vehicles will prioritize the route with the shortest travel time. However, road capacity and other factors will continuously change over time. As faulty components of the integrated energy system are repaired, emergency dispatch will follow, and the load restoration resulting from subsequent fault repairs will also vary. Therefore, the repair plan should be continuously updated as the repair progresses.

[0126] Therefore, a dynamic emergency repair strategy with rolling optimization is introduced. That is, after each fault point is repaired, the dispatch center uses equations (12) to (14) to evaluate the expected load recovery efficiency of the remaining fault points based on the current vehicle location, road conditions, and RIES network status, and thus determines the next repair component. Figure 4 As shown. In the first round of dispatching, each emergency repair team is assigned emergency repair tasks based on the expected load restoration efficiency. Once an emergency repair task is completed, the team becomes a dispatchable team, and a new round of emergency repair tasks is assigned based on its location, until all emergency repair tasks have been assigned and completed.

[0127] In one possible embodiment, an example of emergency repair for a specific regional integrated energy system failure is provided below:

[0128] In this embodiment, the RIES119 node test system is selected as the example system to determine the topology and transportation network structure of RIES as follows: Figure 5 , Figure 6 As shown, Figure 6 The background color reflects the degree of impact of the RIES disaster. The darker the background color, the higher the degree of impact. The areas are road collapse zone (with zero road traffic capacity), high impact zone, medium impact zone and low impact zone. The corresponding road traffic parameters in formula (2) are shown in Table 1:

[0129]

[0130]

[0131] Table 1 Road Traffic Parameters

[0132] In this embodiment, the faulty components are mainly branches. The repair time for branch faults in different subsystems is determined, and the results are shown in Table 2.

[0133] type symbol Define repair time (min). Distribution network branch fault <![CDATA[t rep,E ]]> 60 Gas pipeline malfunction <![CDATA[t rep,G ]]> 60 heating network pipeline malfunction <![CDATA[t rep,H ]]> 120 Coupling device failure <![CDATA[t rep,P ]]> 120

[0134] Table 2 Repair Time Parameter Table

[0135] Referring to the 2023 Gansu Jishishan disaster, which occurred at 23:59 on December 18, 2023, the system failure time in this example is set to t = 0.5 hours. Since extreme disasters easily lead to various secondary disasters, such as landslides, mudslides, and collapses following earthquakes and typhoons, resulting in frequent failures at different times, a set of failure scenarios is set as shown in Table 3. Generally, emergency dispatch is implemented after a failure occurs but before repairs begin. The start time of repairs is determined comprehensively based on the specific circumstances of the disaster. In some cases, rescue teams can begin preliminary repair work several hours after the disaster. If the damage caused by the disaster is extremely severe or rescue resources are limited, the repair work will be delayed. Referring to the arrival time of energy repair teams in existing literature, this invention sets the first round of repair tasks at 13 hours, meaning the emergency dispatch plan before repairs is executed for 13 hours.

[0136]

[0137]

[0138] Table 3 Fault scenarios of the regional integrated energy system (list of damaged branch statuses)

[0139] The mapping between faulty branch roads and the traffic network is shown in [reference needed]. Figure 7 The specific parameters of the faulty branch are shown in Table 4. The example assumes two repair teams (each equipped with a repair vehicle), with their garages located near nodes M55 and M8 respectively, serving as the starting points for their vehicles. It is assumed that the repair vehicles travel at a constant speed of 40 km / h; and that the weights α for each of the power, gas, and heat subsystems are taken as follows. E =α G =α H =1. Three schemes are set up for comparative analysis in the example.

[0140]

[0141]

[0142] Table 4 Branch Fault Parameter Table

[0143] Note: The M55-M56 line experienced two types of faults: a power grid branch and a heating pipeline. In actual emergency repair work, the two faults were repaired independently and could be repaired simultaneously. The total repair time was determined by the fault that took the longest. Therefore, the repair time for the faults in the M55-M56 line was the maximum of the repair times for the power grid branch and the heating pipeline faults.

[0144] Option 1: Consider a repair time optimization strategy, that is, prioritize repairing the faulty component with the shortest expected repair time, i.e.:

[0145]

[0146] In the formula, t e The estimated total time from the start of the emergency repair team to the completion of the emergency repair of component e is calculated by formula (11).

[0147] Option 2: Consider the optimization strategy that maximizes the expected load recovery, i.e., prioritize repairing the faulty component with the greatest expected load recovery, namely:

[0148]

[0149] In the formula, F e The expected load recovery amount of the repair element e is calculated by equation (14).

[0150] Option 3: Consider the optimization strategy with the highest expected load recovery efficiency, that is, prioritize repairing the faulty component with the highest expected load recovery efficiency, which is determined by equations (12) to (14).

[0151] The repair sequence and time required for faulty components in schemes 1 to 3 are shown in Tables 5 to 8 respectively:

[0152]

[0153]

[0154] Table 5. Fault Repair Sequence Table for Scheme 1

[0155]

[0156] Table 6. Fault Repair Sequence Table for Scheme 2

[0157]

[0158]

[0159] Table 7. Fault Repair Sequence Table for Scheme 3

[0160]

[0161] Table 8 Comparison of Time for Various Emergency Repair Plans

[0162] The resulting load recovery is, for example Figure 8 (a) and Figure 8 As shown in (b), the daily load curve is referenced from existing literature.

[0163] Depend on Figure 8(a) It is evident that Schemes 2 and 3 are significantly superior to Scheme 1. Scheme 2 experiences relatively slower load recovery in the initial stage, while Scheme 3 achieves load recovery earlier, and its power curve approaches the normal daily load curve sooner, demonstrating that Scheme 3 has higher load recovery efficiency. A detailed analysis of each scheme will follow.

[0164] First, let's analyze the load recovery situation of Scheme 1. Figure 8 (a) The load recovery curve of Scheme 1, shown by the red line, includes three significant periods of increased load recovery. The first occurs at t = 14.5h, when the load recovery starts from 0 and rises, corresponding to the recovery process of faulty branches E1-E9 and E7-E8 in Table 5. The active power of some power nodes in the RIES returns to normal. The second occurs at t = 26.5h, when the faulty branches G1-G2 are repaired, and the power transmission of all nodes in the gas system returns to its initial state. Due to the time delay in power transmission in the heating network, recovery begins around t = 29.5h, forming the final load recovery peak. Compared to other schemes, Scheme 1 maintains a very low power supply level throughout the early and middle stages of the repair process.

[0165] Secondly, the analysis of load recovery under Scheme 2 can be combined with Table 6 for further analysis. Figure 8 (a) The blue section represents the load recovery curve for Scheme 2. The system showed a significant increase in load during the period from t=15.5 to t=18.5 h. t=15.5 h, t=16.5 h, and t=18.5 h correspond to the recovery times of the faulty branch connected to the upstream power grid, the faulty branch connected to the upstream gas source, and the recovery time of the energy coupling equipment GB, respectively. The first two determine most of the electrical and gas load recovery amounts. However, due to the time delay in heat pipeline transmission, the system heat load showed a slow recovery trend after t=18.5 h, and the load required by the power grid and gas network nodes was fully restored by t=30 h.

[0166] In Scheme 3, the system load curve changes are closer to those in Scheme 2. However, compared to Scheme 2, Scheme 3 shows earlier load recovery and a faster return of the power curve to the normal daily load curve, fully demonstrating that Scheme 3 has higher load recovery efficiency.

[0167] A comparison of the timelines of the three schemes is shown below. Figure 9 As shown in Table 8, the time taken for the three emergency repair plans is summarized.

[0168] In Table 8, looking at the total time taken for all teams to carry out emergency repairs, Scheme 1, which aims to minimize the repair time, takes the shortest time (1972 min), which is consistent with the optimization goal. However, looking at the completion time of the last shift's emergency repairs, Scheme 1 is not the best (1096 min), but rather later than Scheme 3 (1072 min). This is because the optimization strategy of Scheme 1 places the most time-consuming repair work at the end, so the task execution time of the last shift will be longer than other schemes.

[0169] The key to Scheme 1 having the shortest overall time is that, in order to achieve the optimization goal, the algorithm will choose the shortest maintenance route, thus minimizing the travel time of the entire maintenance process to 532 minutes; while Scheme 2 has the longest last shift of emergency repair completion time and return time to the base.

[0170] Option 3's total repair time and total traffic time fall between Options 1 and 2, with traffic time extended by 25.2% compared to Option 1 and shortened by 18% compared to Option 2. This is because Option 3 prioritizes efficiency while also considering time metrics, achieving a synergy between restoring more and faster load.

[0171] To further quantitatively analyze and compare the effects of different emergency repair strategies on system resilience, the load resilience indices RE, RG, and RH of each subsystem of electricity, gas, and heat were calculated according to the load resilience index calculation formulas (15) to (17), as shown in Table 9:

[0172]

[0173] Table 9 Load toughness indices for each scheme

[0174] As can be seen, for electrical load resilience, Scheme 1 is the best, Scheme 2 is the worst, and Scheme 3 is in the middle; for gas system resilience, Scheme 3 is the best, and Scheme 1 is the worst; for thermal system resilience, Scheme 3 is the best. Overall, Scheme 3, which focuses on load recovery efficiency, is superior to the other two schemes.

[0175] In summary, this invention integrates the electricity, gas, and heat energy links to construct a topological aggregate network; couples this topological aggregate network with a transportation network to construct an electricity-gas-heat-transportation integrated network model; inputs the damage information of the energy system and transportation network during extreme disasters into the electricity-gas-heat-transportation integrated network model; processes the data through the model to output the location of repair team vehicles and traffic information; calculates the fault repair time based on the repair team vehicle locations and traffic information by setting a repair time calculation strategy; calculates the recoverable load of the power-gas-heat system at the disaster point by setting a load calculation strategy; calculates the expected load recovery efficiency of the fault point based on the recoverable power-gas-heat system load by setting a load recovery efficiency calculation strategy; determines the fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point; and dispatches the repair team to perform the repair task according to the fault repair strategy. Specifically, the dispatch center schedules emergency repair teams to perform emergency repair tasks; the dispatch center determines if there are any more available emergency repair teams; if not, it waits for the emergency repair teams to complete their tasks; if so, it proceeds to the next step; the dispatch center determines if there are any unassigned repair points; if not, it proceeds to the next step; if so, it determines if this is the last fault; if so, it schedules an emergency repair team to perform the repair task; if not, it calculates the repair time and expected load restoration efficiency for the remaining repair points and updates the dispatch strategy; based on the updated dispatch strategy, it schedules emergency repair teams to perform the repair tasks; the dispatch center determines if all faults have been repaired; if not, it waits for the repair tasks to complete; if so, it records the repair data; the repair data includes: load restoration status and total repair time. This invention effectively improves load restoration efficiency while ensuring that the total number of repairs remains unchanged.

[0176] It should be noted that the method of this disclosure embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this disclosure embodiment, and the multiple devices will interact with each other to complete the method described.

[0177] It should be noted that the above description describes some embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the above embodiments and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0178] Example 2

[0179] See Figure 10 Embodiment 2 of the present invention also provides a regional integrated energy system fault repair device based on post-disaster road conditions, including:

[0180] The Electricity-Gas-Heat-Transportation Integrated Network Model Construction Module 001 is used to integrate the electricity, gas, and heat energy links to construct a topology set network; and to couple the topology set network with the transportation network to construct an electricity-gas-heat-transportation integrated network model.

[0181] The fusion network model processing module 002 is used to input the energy system and transportation network damage information during extreme disasters into the fusion network model; and through the processing of the fusion network model, output the location of the repair team's vehicles and traffic information.

[0182] The fault repair time calculation module 003 is used to calculate the fault repair time based on the location of the emergency repair team's vehicles and the traffic information by setting a repair time calculation strategy.

[0183] The recoverable power-gas-heat system load calculation module 004 is used to calculate the recoverable power-gas-heat system load at the disaster point by setting a load calculation strategy.

[0184] The expected load recovery efficiency calculation module 005 is used to calculate the expected load recovery efficiency of the fault point based on the recoverable power-gas-heat system load and by setting a load recovery efficiency calculation strategy.

[0185] The fault repair strategy acquisition module 006 is used to determine the fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point.

[0186] The fault repair strategy execution module 007 is used by the dispatch center to dispatch repair teams to perform repair tasks according to the fault repair strategy.

[0187] In this embodiment, in the process of inputting the energy system and transportation network damage information during the passage of an extreme disaster into the energy-gas-heat-transportation fusion network model in the power-gas-heat-transportation fusion network model in the power-gas-heat-transportation fusion network model, the energy system and transportation network damage information includes: energy system component parameters and operating parameter set, transportation network structure and geographical location information set, emergency repair vehicle driving parameter set, fault repair time set, accident passage time and energy system fault at the accident passage time.

[0188] In this embodiment, in the fault repair time calculation module 003, during the process of calculating the fault repair time using the set repair time calculation strategy, the calculation formula of the set repair time calculation strategy is as follows:

[0189] t e =t path,ck +t rep,e

[0190]

[0191] t rep,e =λ se,e λ ra,e t re,e

[0192] In the formula, t e The estimated total time for the emergency repair of faulty component e; t rep,e The estimated repair time required for faulty component e; t path,ck The minimum travel time between points c and k; E is the set of road segments in the transportation network; (i,j) is the road segment between nodes i and j; b ij The variables are 0-1, where 1 indicates that the path passes through the segment (i,j) between nodes i and j, and 0 indicates that it does not pass through; t pass,ij λ is the sum of the travel time and waiting time of a vehicle located between nodes i and j in the traffic network; se,e λ is the fault severity coefficient of component e, whose value is related to the fault scenario and takes a value in the range (0,1]; ra,e The repair efficiency coefficient for component e is related to the skill level and number of repair personnel, and is generally set to 0.9; t re,e This is the basic fault repair time value for component e.

[0193] In this embodiment, the formula for calculating the expected load recovery efficiency of the fault point in the expected load recovery efficiency calculation module 005 is as follows:

[0194]

[0195]

[0196] In the formula, f e The expected load recovery efficiency resulting from the repair of faulty component e; F e The estimated total load recovery for component e during repair; φ is the expected load restoration at power node m due to component e's fault repair. E Represents the set of power grid nodes. This represents the total load restoration for each power node; To compensate for the expected load recovery at gas node n caused by the faulty component e, φ G Represents the set of gas network nodes; φ represents the load recovery amount at thermal node i. H Represents the set of nodes in the heating network; α E α G α H These are the weighting factors for electrical load, gas load, and heat load, respectively. When there is no particular emphasis, α can be taken as... E =α G =α H =1.

[0197] In this embodiment, the scheduling submodule of the scheduling center in the fault repair strategy execution module 007 includes:

[0198] Task execution submodule 071 is used by the dispatch center to dispatch emergency repair teams to perform emergency repair tasks.

[0199] The available emergency repair team quantity judgment submodule 072 is used by the dispatch center to determine whether there are still available emergency repair teams; if not, it waits for the emergency repair team to complete its task; if so, it proceeds to the next step.

[0200] The emergency repair point status judgment submodule 073 is used by the dispatch center to determine whether there are any unassigned emergency repair points. If not, it proceeds to the next step. If there are, it determines whether this is the last fault. If so, it dispatches the emergency repair team to perform the emergency repair task. If not, it calculates the repair time and expected load restoration efficiency for the remaining emergency repair points, updates the dispatch strategy, and dispatches the emergency repair team to perform the emergency repair task according to the updated dispatch strategy.

[0201] The fault repair result judgment submodule 074 is used by the dispatch center to judge whether all faults have been repaired; if not, it waits for the emergency repair task to finish; if yes, it records the emergency repair data; the emergency repair data includes: load restoration status and total emergency repair time.

[0202] In this embodiment, the fault repair strategy acquisition module 006 uses the resilience index of the electrical, gas, and thermal subsystems as the evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience and the better the fault repair strategy.

[0203] The expression for the toughness index of an electrical, gas, and thermal subsystem is:

[0204]

[0205]

[0206] In the formula, R E R G R H These are the resilience indices for the power system, gas system, and heating system, respectively; t0 is the start time of the emergency repair strategy; t1 is the end time of the emergency repair. and These represent the active load reduction at time t, the gas load reduction at the gas node, and the heat load reduction at the thermal node, respectively.

[0207] It should be noted that the information interaction and execution process between the modules of the above system are based on the same concept as the method embodiment in Embodiment 1 of this application, and the resulting technical effects are the same as those in the method embodiment of this application. For details, please refer to the description in the method embodiment shown above in this application, and it will not be repeated here.

[0208] Example 3

[0209] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium storing program code for a method for emergency repair of a regional integrated energy system based on post-disaster road conditions. The program code includes instructions for executing the method for emergency repair of a regional integrated energy system based on post-disaster road conditions as described in Embodiment 1 or any possible implementation thereof.

[0210] Computer-readable storage media can be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives, SSDs).

[0211] Example 4

[0212] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;

[0213] The processor and the memory communicate with each other via a bus; the memory stores program instructions that can be executed by the processor, and the processor can call the program instructions to execute the regional integrated energy system fault repair method based on post-disaster road conditions according to Embodiment 1 or any possible implementation thereof.

[0214] Specifically, a processor can be implemented in hardware or software. When implemented in hardware, the processor can be a logic circuit, an integrated circuit, etc. When implemented in software, the processor can be a general-purpose processor that reads software code stored in memory. This memory can be integrated into the processor or located outside the processor and exist independently.

[0215] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable system. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0216] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing systems. They can be centralized on a single computing system or distributed across a network of multiple computing systems. Optionally, they can be implemented using program code executable by a computing system, thereby storing them in a storage system for execution by the computing system. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0217] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for post-disaster road condition-based regional integrated energy system failure repair, characterized in that, The method comprises the following steps: fusing the electricity-gas-heat energy links to construct a topological set network; coupling the topological set network with a traffic network to construct an electricity-gas-heat-traffic fusion network model; inputting the information about the damage of the energy system and the traffic network during the passage of an extreme disaster into the electricity-gas-heat-traffic fusion network model; processing the information by the electricity-gas-heat-traffic fusion network model to output the vehicle position of the repair team and the traffic information; calculating the time required for repairing the fault according to the vehicle position of the repair team and the traffic information by setting a repair time calculation strategy; calculating the recoverable power-gas-heat system load of the disaster point by setting a load calculation strategy; calculating the expected load recovery efficiency of the fault point according to the recoverable power-gas-heat system load by setting a load recovery efficiency calculation strategy; determining the fault repair strategy according to the time required for repairing the fault and the expected load recovery efficiency of the fault point; dispatching the repair team to perform the repair task according to the fault repair strategy by the dispatching center; in the process of inputting the information about the damage of the energy system and the traffic network during the passage of an extreme disaster into the electricity-gas-heat-traffic fusion network model, the information about the damage of the energy system and the traffic network comprises: the set of energy system element parameters and operation parameters, the set of traffic network frame structure and geographical position information, the set of repair vehicle driving parameters, the set of fault repair time, the time of the passage of the accident and the information about the fault of the energy system during the passage of the accident; the concept of road resistance function is introduced, the vehicle passing time under the post-disaster road condition is composed of the normal passing time and the delay time, and the mathematical expression is: ； where t tra,ij is the travel time of the vehicle on the road between nodes i, j of the traffic network, which is the sum of the free-flow travel time and the delay time; t d,ij is the free-flow travel time of the road; Q disaster,ij is the traffic flow parameter of the road between nodes i, j under disaster; C disaster,ij is the traffic capacity of the road between nodes i, j under disaster; a and b are parameters to be calibrated. The link travel time model is combined with a link intersection waiting time model to form a post-disaster traffic network actual travel time t pass model: ； where t fork,j represents the required intersection traffic light waiting time at j node in the traffic network; t pass,ij is the sum of the travel time and waiting time of the vehicle between i, j nodes in the traffic network; in the process of calculating the time required for repairing the fault by setting the repair time calculation strategy, the calculation formula of the repair time calculation strategy is: ； ； ； In the formula, is the total time of the repair task of the failed element e; t rep,e is the required repair time of the failed element e; t path,ck is the minimum traffic time between points c and k; E is the set of road segments in the traffic network; (i,j) is the road segment between nodes i and j; b ij is a 0-1 variable, 1 indicating that the path passes through the road segment (i,j) between nodes i and j, and 0 indicating that it does not; t pass,ij is the sum of the travel time and waiting time of the vehicle between nodes i and j in the traffic network; λ se,e is the failure severity coefficient of element e, which is related to the failure scenario and has a value in the interval (0,1]; λ ra,e is the repair efficiency coefficient of element e, which is related to the proficiency and number of repair personnel and is set to 0.9; t re,e is the basic failure repair time value of element e.

2. The method for post-disaster road condition based regional integrated energy system failure rush-repair according to claim 1, characterized in that, the calculation formula of the expected load recovery efficiency of the fault point is: ； ； wherein, is the expected load recovery efficiency brought by the repair of the failed element e; is the total expected load recovery amount of the element e repair; is the load recovery amount of the power node m brought by the repair of the failed element e, represents the set of power grid nodes, is the total load recovery amount of each power node; is the load recovery amount of the gas node n brought by the repair of the failed element e, represents the set of gas grid nodes; is the load recovery amount of the heat node i brought by the repair of the failed element e, represents the set of heat grid nodes; α E , α G , α H are the weight coefficients of the electric load, gas load and heat load, respectively, and when there is no special emphasis, α E = α G = α H = 1.

3. The method for post-disaster road condition based regional integrated energy system failure rush-repair according to claim 2, characterized in that, the steps of dispatching the repair team to perform the repair task according to the fault repair strategy by the dispatching center are as follows: the dispatching center dispatches the repair team to perform the repair task; the dispatching center judges whether there is still a repairable repair team; if not, the repair team task is waited to be executed; if yes, the next step is processed; the dispatching center judges whether there is still an unassigned repair point; if not, the next step is processed; if yes, it is judged whether it is the last fault; if yes, the repair team is dispatched to perform the repair task; if not, the time required for repairing and the expected load recovery efficiency of the remaining repair points are calculated, and the dispatching strategy is updated; the repair team is dispatched to perform the repair task according to the updated dispatching strategy; the dispatching center judges whether all the faults are repaired; if not, the repair task is waited to be executed; if yes, the repair data is recorded; the repair data comprises: the load recovery condition and the total repair time.

4. The method for post-disaster road condition based regional integrated energy system failure rush-repair according to claim 3, characterized in that, the resilience index of the electricity-gas-heat subsystem is taken as the evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience, and the better the fault repair strategy; the expression of the resilience index of the electricity-gas-heat subsystem is: ； ； ； In the formula, R E , R G , and R H are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the heat supply system, respectively; t0 is the start time of the repair strategy implementation. t1 is the end time of repair; , and are the active load curtailment of the electric node, the gas load curtailment of the gas node and the heat load curtailment of the heat node at t, respectively.

5. The device for disaster post-road condition based regional integrated energy system failure rush-repairing, adopting the method for disaster post-road condition based regional integrated energy system failure rush-repairing according to any one of claims 1-4, characterized in that, the method comprises the following steps: The electric-gas-heat-traffic integration network model construction module is configured to integrate electric-gas-heat energy links and construct a topology set network. The topology set network is coupled with a traffic network to construct an electric-gas-heat-traffic integration network model. The electric-gas-heat-traffic integration network model processing module is configured to input energy system and traffic network damage information during the passage of an extreme disaster into the electric-gas-heat-traffic integration network model, and output repair team vehicle positions and traffic information through processing of the electric-gas-heat-traffic integration network model. The fault repair time calculation module is configured to calculate a fault repair time according to the repair team vehicle positions and the traffic information through a repair time calculation strategy. The recoverable electric-gas-heat system load calculation module is configured to calculate a recoverable electric-gas-heat system load of a disaster point through a load calculation strategy. The expected load recovery efficiency calculation module is configured to calculate an expected load recovery efficiency of a fault point according to the recoverable electric-gas-heat system load through a load recovery efficiency calculation strategy. The fault repair strategy acquisition module is configured to determine a fault repair strategy according to the fault repair time and the expected load recovery efficiency of the fault point. The fault repair strategy execution module is configured to dispatch a repair team to perform a repair task according to the fault repair strategy.

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