Regional integrated energy system fault first-aid repair method and device based on post-disaster road conditions

By building an electrical-gas-heat-traffic integration network model, combining post-disaster road conditions information, dynamically allocating emergency repair tasks, the problem of emergency repair and scheduling of energy system failures under extreme disasters is solved, and more efficient emergency repair and load recovery are achieved.

CN120031244AActive Publication Date: 2025-05-23TIANJIN UNIV
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Patent Information

Application Number
CN202510113506.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-24
Publication Date
2025-05-23
Estimated Expiration
2045-01-24

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively schedule energy system failure repairs in extreme disasters, and cannot fully consider the dynamic changes in load demand and actual road traffic conditions.

Method used

The emergency repair method of regional comprehensive energy system faults based on post-disaster road conditions is adopted. By building an electrical-gas-heat-traffic integration network model, combining emergency repair resources with fault component locations, energy systems and traffic network status, rolling optimization and dynamic dispatch of emergency repair tasks are carried out to achieve scientific scheduling of emergency repair resources.

Benefits of technology

On the premise of ensuring that the total number of emergency repairs remains unchanged, the emergency repair speed and load recovery efficiency are effectively improved, and the resilience of the energy system is improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a regional integrated energy system fault first-aid repair method and device based on post-disaster road conditions, and the method comprises the steps: fusing electricity-gas-heat energy links to construct a topological set network, carrying out the coupling with a traffic network, and constructing an electricity-gas-heat-traffic fusion network model; inputting the energy system and traffic network damage information into a model for processing, and outputting the vehicle position and traffic information of a first-aid repair team; calculating to obtain fault repair time by setting a repair time calculation strategy; a load capacity calculation strategy is set, and the recoverable electric power-gas-thermodynamic system load capacity of the disaster site is obtained through calculation; by setting a load recovery efficiency calculation strategy, the expected load recovery efficiency of the fault point is obtained through calculation; determining a fault first-aid repair strategy according to the expected load recovery efficiency of the fault point; the dispatching center dispatches a first-aid repair team to execute a first-aid repair task according to the fault first-aid repair strategy. On the premise that the total repair amount is not changed, the load recovery speed is increased, and the system toughness is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of improving the resilience of an integrated energy system and emergency repair of faults, and in particular to a method and device for emergency repair of regional integrated energy system faults based on post-disaster road conditions. Background Art

[0002] In recent years, energy shortage and environmental pollution have become increasingly prominent. Promoting energy efficiency and transitioning to low-carbon development has become an inevitable trend in the development of the energy and power industry. By building a regional integrated energy system (RIES) to integrate multiple energy forms such as electricity, gas, and heat, the efficiency and economy of energy utilization can be further improved, which is an important development trend of the future energy system. However, the increasingly severe natural disasters and extreme weather in recent years have posed new challenges to the reliable and safe operation of RIES. RIES energy supply anomalies caused by extreme disasters will cause power outages, gas outages, and indoor heating interruptions. In view of this, taking certain measures to effectively improve the post-disaster recovery capacity of the energy system can reduce the impact of faults caused by extreme weather and ensure the smooth operation of residents' daily lives and social economy. By optimizing fault repair scheduling, system faults can be quickly and effectively responded to, and the resilience of the system can be improved. To this end, domestic and foreign scholars have conducted in-depth research on the problem of emergency repair scheduling of energy systems under extreme disasters.

[0003] At present, existing research rarely considers the dynamic changes in load demand and actual road traffic conditions during the emergency repair process, and is unable to achieve effective and accurate scheduling.

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

[0005] To this end, the present invention provides a regional integrated energy system fault repair method and device based on post-disaster road conditions, which combines repair resources with the location of faulty components, the current status of energy systems and transportation networks, takes the highest load recovery efficiency as the goal, dynamically dispatches repair tasks through rolling optimization, and realizes scientific scheduling of repair resources, effectively improving the repair speed while ensuring that the total amount of repairs remains unchanged.

[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a regional integrated energy system fault repair method based on post-disaster road conditions, comprising:

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

[0008] Input the damaged information of energy system and transportation network during the extreme disaster into the electricity-gas-heat-transportation fusion network model; process it through the electricity-gas-heat-transportation fusion network model to output the location and transportation information of the repair team’s vehicles;

[0009] According to the position of the repair team's vehicle and the traffic information, the time required for fault repair is calculated by setting a repair time calculation strategy;

[0010] By setting the load calculation strategy, the restorable power-gas-heat system load at the disaster site is calculated;

[0011] According to the load of the recoverable electric power-gas-heat system, by setting a load recovery efficiency calculation strategy, the expected load recovery efficiency of the fault point is calculated;

[0012] Determine a fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point;

[0013] The dispatch center dispatches a repair team to perform the repair task according to the fault repair strategy.

[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 damage information of the energy system and transportation network when the extreme disaster passes through the electricity-gas-heat-transportation fusion network model, the damage information of the energy system and transportation network includes: energy system component parameters and operation parameter sets, transportation network grid structure and geographical location information set, repair vehicle driving parameter set, fault repair time set, accident transit time and energy system fault at the accident transit time.

[0015] As a preferred solution of the regional integrated energy system fault repair method based on post-disaster road conditions, in the process of calculating the fault repair time by setting the repair time calculation strategy, the calculation formula of the set repair time calculation strategy is:

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

[0017]

[0018] t rep,e =λ se,e λ ra,e t re,e

[0019] Where, t e is the estimated total time for the emergency repair task of the faulty component e; t rep,e is the estimated repair time required for the faulty component e; tpath,ck is the minimum travel 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 means the path passes through the segment (i, j) between nodes i and j, 0 means it does not pass through; 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; se,e is the fault severity coefficient of component e, and its value is related to the fault scenario, and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

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

[0021]

[0022] In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The estimated load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

[0023] As a preferred solution of the regional integrated energy system fault repair method based on post-disaster road conditions, the steps of the dispatching center dispatching the repair team to perform the repair task according to the fault repair strategy are as follows:

[0024] The dispatch center dispatches the emergency repair team to perform the emergency repair task;

[0025] The dispatch center determines whether there are any repair teams that can be deployed; if not, it waits for the repair team to complete its tasks; if so, it proceeds to the next step;

[0026] The dispatch center determines whether there are any unassigned repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the repair team to perform the repair task; if not, calculate the repair time and expected load recovery efficiency for the remaining repair points, and update the dispatch strategy; dispatch 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 be completed; if so, it records the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time.

[0028] As a preferred solution of the regional integrated energy system fault repair method based on post-disaster road conditions, the resilience index of the electricity, gas and heat subsystems is used as an 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 toughness index expression of the electrical, gas and thermal subsystems is:

[0030]

[0031] In the formula, R E , R G , R H They are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the thermal system; t 0 The time when the emergency repair strategy starts to be implemented; t 1 The time when emergency repairs are completed; and They are the active load reduction of the power node, the gas load reduction of the gas node, and the thermal load reduction of the thermal node at time t.

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

[0033] The electricity-gas-heat-transportation fusion network model construction module is used to integrate the electricity-gas-heat energy links to construct a topological collection network; the topological collection network is coupled with the transportation network to construct an electricity-gas-heat-transportation fusion network model;

[0034] The electricity-gas-heat-traffic fusion network model processing module is used to input the damage information of the energy system and the transportation network when the extreme disaster passes through the electricity-gas-heat-traffic fusion network model; and output the location and traffic information of the repair team's vehicles through the electricity-gas-heat-traffic fusion network model processing;

[0035] A fault repair time calculation module is used to calculate the fault repair time according to the position of the repair team vehicle and the traffic information by setting a repair time calculation strategy;

[0036] A restorable electric power, gas, and heat system load calculation module is used to calculate the restorable electric power, gas, and heat system load at the disaster site by setting a load calculation strategy;

[0037] An expected load recovery efficiency calculation module is used to calculate the expected load recovery efficiency of the fault point according to the load of the recoverable power-gas-heat system by setting a load recovery efficiency calculation strategy;

[0038] A fault repair strategy acquisition module is used to determine a fault repair strategy according to the fault repair time and the expected load recovery efficiency of the fault point;

[0039] The fault repair strategy execution module is used for the dispatching center to dispatch a repair team to perform the repair task according to the fault repair strategy.

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

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

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

[0043]

[0044] t rep,e =λ se,e λra,e t re,e

[0045] Where, t e is the estimated total time for the emergency repair task of the faulty component e; t rep,e is the estimated repair time required for the faulty component e; t path,ck is the minimum travel 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 means the path passes through the segment (i, j) between nodes i and j, 0 means it does not pass through; 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; se,e is the fault severity coefficient of component e, and its value is related to the fault scenario, and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

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

[0047]

[0048] In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The estimated load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

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

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

[0051] The submodule for judging the number of repair teams that can be deployed is used by the dispatch center to determine whether there are repair teams that can be deployed; if not, wait for the repair team to complete its task; if yes, proceed to the next step;

[0052] The emergency repair point status judgment submodule is used by the dispatch center to judge whether there are any unassigned emergency repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the emergency repair team to perform the emergency repair task; if not, calculate the emergency repair time and expected load recovery efficiency for the remaining emergency repair points, update the dispatch strategy; dispatch 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 judge whether all faults have been repaired; if not, wait for the emergency repair task to be completed; if so, record the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time.

[0054] As a preferred solution of the regional integrated energy system fault repair device based on post-disaster road conditions, in the fault repair strategy acquisition module, the resilience index of the electricity, gas and heat subsystems is used as an 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 toughness index expression of the electrical, gas and thermal subsystems is:

[0056]

[0057] In the formula, R E , R G , R H They are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the thermal system; t 0 The time when the emergency repair strategy starts to be implemented; t 1 The time when emergency repairs are completed; and They are the active load reduction of the power node, the gas load reduction of the gas node, and the thermal load reduction of the thermal node at time t.

[0058] The present invention has the following advantages: the present invention integrates the electricity-gas-heat energy links to construct a topological aggregate network; couples the topological aggregate network with the traffic network to construct an electricity-gas-heat-traffic fusion network model; inputs the damaged information of the energy system and the traffic network when an extreme disaster passes through the electricity-gas-heat-traffic fusion network model; outputs the vehicle position and traffic information of the emergency repair team through processing by the electricity-gas-heat-traffic fusion network model; according to the vehicle position of the emergency repair team and the traffic information, the fault repair time is calculated by setting a repair time calculation strategy; by setting a load calculation strategy, the load of the recoverable electricity-gas-heat system at the disaster point is calculated; according to the recoverable load of the electricity-gas-heat system, the expected load recovery efficiency of the fault point is calculated by setting a load recovery efficiency calculation strategy; according to the fault repair time and the expected load recovery efficiency of the fault point, the fault repair strategy is determined; the dispatching center dispatches the repair team to perform the repair task according to the fault repair strategy. Specifically, the dispatch center dispatches the emergency repair team to perform the emergency repair task; the dispatch center determines whether there are any emergency repair teams that can be deployed; if not, wait for the emergency repair team to complete the task; if yes, proceed to the next step; the dispatch center determines whether there are any unassigned emergency repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the emergency repair team to perform the emergency repair task; if not, calculate the emergency repair time and expected load recovery efficiency for the remaining emergency repair points, and update the dispatch strategy; dispatch the emergency repair team to perform the emergency repair task according to the updated dispatch strategy; the dispatch center determines whether all faults have been repaired; if not, wait for the emergency repair task to be completed; if yes, record the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time. The present invention effectively improves the load recovery efficiency while ensuring that the total amount of emergency repair remains unchanged. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0060] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0061] Figure 1 A schematic flow chart of a method for repairing a regional integrated energy system fault based on post-disaster road conditions provided in Example 1 of the present invention;

[0062] Figure 2 A schematic diagram of an electricity-gas-heat-traffic fusion network model in a regional integrated energy system fault repair method based on post-disaster road conditions provided in Example 1 of the present invention;

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

[0064] Figure 4 A schematic diagram of rolling update of emergency repair optimization scheduling in the method for emergency repair of regional integrated energy system faults based on post-disaster road conditions provided in Example 1 of the present invention;

[0065] Figure 5 A schematic diagram of each sub-network and topology set network of RIES in a possible embodiment provided in Embodiment 1 of the present invention;

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

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

[0068] Figure 8 A schematic diagram of load and power variation curves of different emergency repair processes in a possible embodiment provided in Embodiment 1 of the present invention;

[0069] Fig. 9 A Gantt chart of emergency repairs for each solution in a possible embodiment provided in Embodiment 1 of the present invention;

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

[0071] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Example 1

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

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

[0075] S2. Inputting the damaged information of energy system and transportation network during the extreme disaster into the electricity-gas-heat-transportation fusion network model; processing the electricity-gas-heat-transportation fusion network model to output the location and transportation information of the repair team’s vehicles;

[0076] S3, according to the position of the repair team's vehicle and the traffic information, by setting a repair time calculation strategy, calculate the time required for fault repair;

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

[0078] S5. According to the load of the recoverable electric power-gas-heat system, by setting a load recovery efficiency calculation strategy, the expected load recovery efficiency of the fault point is calculated;

[0079] S6. Determine a fault repair strategy according to the fault repair time and the expected load recovery efficiency of the fault point;

[0080] S7. The dispatch center dispatches a repair team to perform the repair task according to the fault repair strategy.

[0081] In this embodiment, in step S1, the electricity-gas-heat energy links are integrated to construct a topological collection network; the topological collection network is coupled with the transportation network to construct an electricity-gas-heat-transportation fusion network model;

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

[0083] The node set of the topological network is represented by φ A Indicates that Figure 2 As shown. Map the node set of the topological network to the transportation network, using φ M Indicates that Figure 3 As shown in (c), the use of the electricity-gas-heat-traffic fusion network combined with actual traffic information can 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 damage information of the energy system and the transportation network during the extreme disaster is input into the electricity-gas-heat-transportation fusion network model; the location and transportation information of the repair team's vehicle are output through the electricity-gas-heat-transportation fusion network model;

[0085] Specifically, the damage information of the energy system and transportation network during the passage of extreme disasters is input into the electricity-gas-heat-transportation fusion network model; the location of the repair team's vehicles and traffic information are presented through the electricity-gas-heat-transportation fusion network model to facilitate the dispatching of the dispatching center.

[0086] In this embodiment, in step S3, according to the vehicle position of the repair team and the traffic information, the fault repair time is calculated by setting a repair time calculation strategy;

[0087] Specifically, the time required for fault recovery includes transportation time and repair time of faulty components.

[0088] The time required to repair a faulty component is also related to factors such as the severity of the fault and the efficiency of emergency repair. There are differences in the emergency repair time between thermal pipelines and power and gas system faults. The mathematical expression is:

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

[0090] Where, t rep,e is the estimated repair time required for the faulty component e; se,e is the fault severity coefficient of component e, and its value is related to the fault scenario, and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

[0091] To calculate the travel time of a road section, it is necessary to determine the geographical location of the fault location, which can determine its distance from the nearest repair vehicle and the road travel time required for the repair vehicle to reach the fault point. Regarding the travel time required for repair, most existing studies rely on existing data and estimate it by dividing the distance by the speed, but it cannot fully reflect the traffic delays in special circumstances. In order to obtain the travel time more accurately, the following two methods can be used: one is to use the existing map APP (such as Amap, etc.) to update the estimated road travel time in real time; the second is to build a real-time traffic network delay model based on the road resistance mathematical model to provide the travel time between each point for the post-disaster rolling repair strategy. In extreme events, communication conditions may be affected and online navigation services may encounter obstacles. The traffic network delay model can provide a reference for the travel time data for the post-disaster repair strategy.

[0092] In order to conveniently describe the travel time of emergency vehicles, the concept of road resistance function of the Bureau of Public Roads (BPR) of the United States is introduced. In extreme events, traffic sections may be accompanied by road damage such as landslides, which is reflected in the reduction of road capacity. The vehicle travel time under post-disaster road conditions can be composed of normal travel time and delay time. The mathematical expression is:

[0093]

[0094] Where, t tra,ij is the travel time of the vehicle on the road between nodes i and j in the traffic network, which is the sum of the normal travel time and the delay time; t d,ij is the normal driving time of the road; Q disaster,ij represents the traffic flow parameter of the road between nodes i and j under disaster; C disaster,ij 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 traffic intersections, the above-mentioned road section travel time model is combined with the road section intersection waiting time model to form the following actual travel time t pass Model:

[0096]

[0097] Where, t fork,j represents the waiting time of the traffic light at the intersection at node j in the traffic network; t pass,ij It is the sum of the travel time and waiting time of the vehicle between nodes i and j in the transportation network.

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

[0099]

[0100]

[0101] In formula (4), E represents the set of road segments in the traffic network; (i, j) represents the road segment between nodes i and j; b ij is a 0-1 variable, 1 means the path passes through the section (i, j) between nodes i and j, 0 means it does not pass through; φ M represents the set of nodes in the traffic network. Formula (5) constrains the path to start from node c; Formula (6) constrains the path to end at node k; Formulas (7) and (8) respectively constrain that in the path, each node can only connect to one outgoing route and one incoming route; Formula (9) constrains that except for the starting point and the arrival point, the sections along the way are coherent.

[0102] According to equations (4) to (9), b ij and t path,ck , we can get the minimum travel time and corresponding path between points c and k:

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

[0104] Assume that the repair team starts from the current position c and completes the repair task of faulty component e at point k. The estimated total time is:

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

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

[0107] In this embodiment, in step S4, the load calculation strategy is set to calculate the load of the restorable power-gas-heat system at the disaster site;

[0108] Specifically, the load of the restorable electricity-gas-heat system at the disaster site is calculated through existing calculation strategies.

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

[0110] Specifically, based on the previous repair time evaluation model, the estimated time for the repair personnel to arrive at each fault point to complete the repair can be obtained. The ratio of the total RIES load recovery brought by the repair of the fault point to the repair time is the load recovery brought by the unit repair time, which is defined as the expected load recovery efficiency. The higher the load recovery efficiency, the better the resilience of the system. The fault repair strategy of the present invention is to sort by expected load recovery efficiency, and give priority to repairing the fault component with the highest expected load recovery efficiency, that is:

[0111]

[0112] In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The estimated load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

[0113] In this embodiment, under the tree topology, if the upper and lower components under the same branch fail at the same time, repairing only the lower fault component will not bring load recovery, so the upper fault component needs to be repaired first, which will be consistent with the ordering brought by the calculation result of formula (14). Therefore, this model is suitable for both independent fault sorting and fault sorting under the same branch.

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

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

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

[0117]

[0118] In the formula, R E , R G , R H They are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the thermal system; t 0 The time when the emergency repair strategy starts to be implemented; t 1 The time when emergency repairs are completed; and They are the active load reduction of the power node, the gas load reduction of the gas node, and the thermal load reduction of the thermal node at time t.

[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 of dispatching the emergency repair team to perform the emergency repair task according to the fault emergency repair strategy are as follows:

[0121] S71. The dispatch center dispatches the emergency repair team to perform the emergency repair task;

[0122] S72, the dispatch center determines whether there is any repair team that can be deployed; if not, wait for the repair team to complete its task; if yes, proceed to the next step;

[0123] S73, the dispatch center determines whether there are any unassigned emergency repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the emergency repair team to perform the emergency repair task; if not, calculate the emergency repair time and expected load recovery efficiency for the remaining emergency repair points, update the dispatch strategy; dispatch the emergency repair team 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, waits for the emergency repair task to be completed; if so, records the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time.

[0125] Specifically, since there are multiple options for the path to the fault point, the repair vehicle will give priority to the path with the shortest traffic time. As time goes by, road capacity and other conditions will continue to change. As the faulty components of the integrated energy system are repaired, emergency dispatch will continue to follow up, and the load recovery brought by the subsequent fault repair is also changing. Therefore, the repair plan should be continuously updated with the progress of the repair.

[0126] Therefore, a dynamic repair strategy of rolling optimization is introduced. That is, after completing the repair of a fault point, the dispatch center uses equations (12) to (14) to evaluate the expected load recovery efficiency of the remaining fault points according to the current vehicle position, road traffic conditions and RIES network conditions, so as to determine the next repair component, such as Figure 4 In the first round of dispatch, each repair team is assigned repair tasks according to the expected highest load recovery efficiency; when a repair task is completed, the team becomes a dispatchable team, and a new round of repair tasks are assigned according to its location until all repair tasks are assigned and executed.

[0127] In a possible embodiment, an example of emergency repair of a specific regional integrated energy system fault is provided as follows:

[0128] In this embodiment, the RIES119 node test system is selected as the example system to determine the topological structure diagram and traffic grid structure diagram of RIES. Figure 5 , Figure 6 As shown, Figure 6 The background color reflects the degree of RIES disaster impact. The darker the background color, the higher the degree of disaster impact. They are road collapse area (where the road capacity is zero), high impact area, medium impact area and low impact area. 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, and the repair time of branch faults of different subsystems is determined. The results are shown in Table 2:

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

[0134] Table 2 Maintenance time parameter table

[0135] Referring to the Jishishan area in Gansu in 2023, which occurred at 23:59 on December 18, 2023, the calculation example sets the system disaster failure time to t = 0.5h. Since extreme disasters are prone to bring a variety of secondary disasters, such as landslides, mudslides, collapses and other disasters after earthquakes and typhoons, which are manifested as frequent failures and different occurrence times, a set of failure scenarios is set as shown in Table 3. Generally, emergency dispatch is implemented before emergency repairs are carried out after the failure occurs, and the start time of emergency repairs will be comprehensively determined according to the specific circumstances of the disaster. In some cases, the rescue team can start preliminary emergency repairs a few hours after the disaster occurs. If the damage caused by the disaster is extremely serious or the rescue resources are limited, the emergency repair work will be delayed. The present invention refers to the arrival time of the energy emergency repair team in the existing literature, and sets the first round of emergency repair tasks at 13h, that is, the execution time of the emergency dispatch plan before the emergency repair is 13h.

[0136]

[0137]

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

[0139] The mapping of faulty branches to traffic networks is shown in Figure 7 Specific fault branch parameters are shown in Table 4. Assume that there are two repair teams (equipped with repair vehicles), and the garages of the two teams are located near node M55 and node M8 respectively, which serve as the starting points of the two repair team vehicles. Assume that the repair vehicle travels at a constant speed of 40km / h; and take the protection weights α of each subsystem of electricity, gas and heat E =α G =α H = 1. Three schemes are set up for comparative analysis.

[0140]

[0141]

[0142] Table 4 Branch fault parameter table

[0143] Note: There are two faults in the M55-M56 line: the power grid branch and the thermal pipeline. In actual repair work, the two faults are repaired independently and can be repaired at the same time. The total repair time is determined by the longest one. Therefore, the fault repair time in the M55-M56 line is the maximum of the power grid branch and thermal pipeline fault repair time.

[0144] Solution 1: Consider the repair time optimization strategy, that is, give priority to repairing the faulty components with the shortest expected repair time, that is:

[0145]

[0146] Where, t e It represents the estimated total time from the departure of the repair team to the completion of the repair of component e fault, which is calculated by formula (11).

[0147] Solution 2: Consider the optimization strategy with the largest expected load recovery amount, that is, give priority to repairing the faulty component with the largest expected load recovery amount, that is:

[0148]

[0149] In the formula, F e represents the load recovery amount expected to be brought by the repair element e, which is calculated by formula (14).

[0150] Scheme 3: Consider the optimization strategy with the highest expected load recovery efficiency, that is, give priority to 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 of 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 used for each emergency repair scheme

[0162] The load recovery comparison Figure 8 (a) and Figure 8 (b) shows the daily load curve, which refers to existing literature.

[0163] Depend on Figure 8(a) It can be seen that both Schemes 2 and 3 are significantly better than Scheme 1. Scheme 2 has a relatively slow load recovery in the initial stage, while Scheme 3 has an earlier load recovery, and the power curve also approaches the normal daily load curve earlier, indicating that Scheme 3 has a higher load recovery efficiency. The following will analyze each scheme in detail.

[0164] First, analyze the load recovery situation of Scheme 1. Figure 8 The load recovery curve of Scheme 1 shown by the red line in (a) contains three significant load recovery increase periods. The first one starts at t = 14.5h, when the load recovery starts to rise from 0, corresponding to the recovery process of fault branches such as E1-E9, E7-E8 in Table 5, and the active power of some power nodes in RIES returns to normal; the second one is at t = 26.5h, when the G1-G2 fault branch is repaired, and the power transmission of each node in the gas system will be restored to the initial state. Due to the certain delay in the transmission of heat network power, it starts to recover around t = 29.5h, forming the last load recovery peak. Compared with other schemes, Scheme 1 has been at a very low energy supply level in the early and middle stages of the emergency repair process.

[0165] Secondly, the load recovery analysis of Scheme 2 can be combined with Table 6 to analyze Figure 8 In (a), the load recovery curve of Scheme 2 represented by blue shows a large increase in the time period of t = 15.5 to t = 18.5h. t = 15.5h, t = 16.5h and t = 18.5h correspond to the restoration time of the fault branch connected to the upper power grid, the restoration time of the fault branch connected to the upper gas source and the restoration time of the energy coupling device GB. The first two determine the restoration amount of most of the electric load and gas load. Due to the delay of heat pipeline transmission, the system heat load shows a slow recovery trend after t = 18.5h. At t = 30h, the load required by the power grid and gas grid nodes has been restored.

[0166] In Scheme 3, the system load curve changes closer to Scheme 2. Compared with Scheme 2, the load recovery in Scheme 3 is earlier, and the power curve approaches the normal daily load curve more quickly, which fully demonstrates that the load recovery efficiency of Scheme 3 is higher.

[0167] The time course comparison of the three schemes is shown in Fig. 9 As shown in Table 8, the time consumption of the three emergency repair schemes is summarized.

[0168] In Table 8, from the total time of the emergency repair process of all teams, Scheme 1, which aims to shorten the emergency repair time, takes the shortest time (1972 minutes), and the result is consistent with the optimization goal; from the completion time of the last shift, Scheme 1 is not the best (1096 minutes), but later than Scheme 3 (1072 minutes). The reason is that the optimization strategy of Scheme 1 will put the longest repair work at the end, so the task execution time of the last shift will be longer than that of other schemes.

[0169] The key to the shortest overall time for Plan 1 is that in order to achieve the optimization goal, the algorithm will choose the shortest maintenance path, thereby shortening the transportation time for the entire maintenance process to 532 minutes; while the completion time of the last shift of emergency repairs and the return time to the base in Plan 2 are the longest among the three plans.

[0170] The total time for the repair process and the total time for transportation in Scheme 3 are between Schemes 1 and 2. The transportation time is 25.2% longer than that in Scheme 1 and 18% shorter than that in Scheme 2. Because Scheme 3 prioritizes efficiency and takes time indicators into consideration, it achieves coordination between more and faster load recovery.

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

[0172]

[0173] Table 9 Load toughness index of each scheme

[0174] It can be seen that the electric load resilience index scheme 1 is the best, scheme 2 is the worst, and scheme 3 is in the middle; the gas system resilience index scheme 3 is the best, scheme 1 is the worst; the thermal system resilience index scheme 3 is the best. In general, scheme 3, which focuses on load recovery efficiency, is better than the other two schemes.

[0175] In summary, the present invention integrates the electricity-gas-heat energy links to construct a topological collection network; couples the topological collection network with the transportation network to construct an electricity-gas-heat-transportation fusion network model; inputs the damaged information of the energy system and transportation network during the passage of extreme disasters into the electricity-gas-heat-transportation fusion network model; outputs the vehicle position and traffic information of the emergency repair team through processing by the electricity-gas-heat-transportation fusion network model; according to the vehicle position of the emergency repair team and the traffic information, the fault repair time is calculated by setting a repair time calculation strategy; by setting a load calculation strategy, the restorable power-gas-heat system load of the disaster-stricken point is calculated; according to the restorable power-gas-heat system load, the expected load recovery efficiency of the fault point is calculated by setting a load recovery efficiency calculation strategy; according to the fault repair time and the expected load recovery efficiency of the fault point, the fault repair strategy is determined; the dispatching center dispatches the repair team to perform the repair task according to the fault repair strategy. Specifically, the dispatch center dispatches the emergency repair team to perform the emergency repair task; the dispatch center determines whether there are any emergency repair teams that can be deployed; if not, wait for the emergency repair team to complete the task; if yes, proceed to the next step; the dispatch center determines whether there are any unassigned emergency repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the emergency repair team to perform the emergency repair task; if not, calculate the emergency repair time and expected load recovery efficiency for the remaining emergency repair points, and update the dispatch strategy; dispatch the emergency repair team to perform the emergency repair task according to the updated dispatch strategy; the dispatch center determines whether all faults have been repaired; if not, wait for the emergency repair task to be completed; if yes, record the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time. The present invention effectively improves the load recovery efficiency while ensuring that the total amount of emergency repair remains unchanged.

[0176] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0177] It should be noted that the above describes some embodiments of the present 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 an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0178] Example 2

[0179] See also Fig.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 fusion network model construction module 001 is used to integrate the electricity-gas-heat energy links to construct a topological collection network; the topological collection network is coupled with the transportation network to construct an electricity-gas-heat-transportation fusion network model;

[0181] The electricity-gas-heat-traffic fusion network model processing module 002 is used to input the damage information of the energy system and the transportation network when the extreme disaster passes through the electricity-gas-heat-traffic fusion network model; and output the location and traffic information of the repair team's vehicles through the electricity-gas-heat-traffic fusion network model processing;

[0182] The fault repair time calculation module 003 is used to calculate the fault repair time according to the vehicle position of the emergency repair team and the traffic information by setting the repair time calculation strategy;

[0183] The restorable electric power, gas and heat system load calculation module 004 is used to calculate the restorable electric power, gas and heat system load at the disaster site 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 according to the load of the recoverable power-gas-heat system by setting the load recovery efficiency calculation strategy;

[0185] A fault repair strategy acquisition module 006 is used to determine a fault repair strategy according to the fault repair time and the expected load recovery efficiency of the fault point;

[0186] The fault repair strategy execution module 007 is used for the dispatching center to dispatch a repair team to perform the repair task according to the fault repair strategy.

[0187] In this embodiment, in the electricity-gas-heat-transportation fusion network model processing module 002, in the process of inputting the damage information of the energy system and transportation network when the extreme disaster passes through the electricity-gas-heat-transportation fusion network model, the damage information of the energy system and transportation network includes: energy system component parameters and operation parameter sets, transportation network grid structure and geographical location information set, emergency repair vehicle driving parameter set, fault repair time set, accident passing time and energy system fault at the accident passing time.

[0188] In this embodiment, in the fault repair time calculation module 003, in the process of calculating the fault repair time by setting the repair time calculation strategy, the calculation formula of the set repair time calculation strategy is:

[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 is the estimated total time for the emergency repair task of the faulty component e; t rep,e is the estimated repair time required for the faulty component e; t path,ck is the minimum travel 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 means the path passes through the section (i, j) between nodes i and j, 0 means it does not pass through; 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; se,e is the fault severity coefficient of component e, and its value is related to the fault scenario, and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

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

[0194]

[0195]

[0196] In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The expected load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

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

[0198] Task execution submodule 071 is used for the dispatch center to dispatch the emergency repair team to perform the emergency repair task;

[0199] The submodule 072 for judging the number of repair teams that can be deployed is used by the dispatch center to determine whether there are repair teams that can be deployed; if not, wait for the repair team to complete its task; if yes, proceed to the next step;

[0200] The emergency repair point status judgment submodule 073 is used for the dispatch center to judge whether there are any unassigned emergency repair points; if not, proceed to the next step; if yes, judge whether it is the last fault; if so, dispatch the emergency repair team to perform the emergency repair task; if not, calculate the emergency repair time and expected load recovery efficiency for the remaining emergency repair points, update the dispatch strategy; dispatch 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 for the dispatch center to judge whether all faults have been repaired; if not, wait for the emergency repair task to be completed; if so, record the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time.

[0202] In this embodiment, in the fault repair strategy acquisition module 006, the toughness index of the electric, gas and thermal subsystems is used as the evaluation index of the fault repair strategy; the lower the value of the toughness index, the better the system toughness is, and the better the fault repair strategy is;

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

[0204]

[0205]

[0206] In the formula, R E , R G , R H They are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the thermal system; t 0 The time when the emergency repair strategy starts to be implemented; t 1 The time when emergency repairs are completed; and They are the active load reduction of the power node, the gas load reduction of the gas node, and the thermal load reduction of the thermal node at time t.

[0207] It should be noted that the information interaction, execution process and other contents between the modules of the above-mentioned system are based on the same concept as the method embodiment in Example 1 of the present application, and the technical effects they bring are the same as those of the method embodiment of the present application. For specific contents, please refer to the description in the method embodiment shown above in the present application, and will not be repeated here.

[0208] Example 3

[0209] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, in which a program code of a regional integrated energy system fault repair method based on post-disaster road conditions is stored, and the program code includes instructions for executing the regional integrated energy system fault repair method based on post-disaster road conditions of embodiment 1 or any possible implementation thereof.

[0210] The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[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 calls the program instructions to execute the regional integrated energy system fault repair method based on post-disaster road conditions in Example 1 or any possible implementation method thereof.

[0214] Specifically, the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor implemented by reading software codes stored in a memory. The memory can be integrated in the processor or can be located outside the processor and exist independently.

[0215] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of 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, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems. The computer instructions can be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center.

[0216] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0217] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made on the basis of the present invention. Therefore, these modifications or improvements made on the basis of not departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A regional integrated energy system fault repair method based on post-disaster road conditions, characterized in that: include: Integrate the electricity, gas and heat energy links to build a topological collection network; The topological collection network is coupled with the transportation network to construct an electricity-gas-heat-transportation fusion network model; Input the damaged information of energy system and transportation network during the extreme disaster into the electricity-gas-heat-transportation fusion network model; process it through the electricity-gas-heat-transportation fusion network model to output the location and transportation information of the repair team’s vehicles; According to the position of the repair team's vehicle and the traffic information, the time required for fault repair is calculated by setting a repair time calculation strategy; By setting the load calculation strategy, the restorable power-gas-heat system load at the disaster site is calculated; According to the load of the recoverable electric power-gas-heat system, by setting a load recovery efficiency calculation strategy, the expected load recovery efficiency of the fault point is calculated; Determine a fault repair strategy based on the fault repair time and the expected load recovery efficiency of the fault point; The dispatch center dispatches a repair team to perform the repair task according to the fault repair strategy.

2. The method for repairing regional integrated energy system faults based on post-disaster road conditions according to claim 1 is characterized in that: In the process of inputting the damage information of the energy system and transportation network when an extreme disaster passes through the electricity-gas-heat-transportation fusion network model, the damage information of the energy system and transportation network includes: energy system component parameters and operation parameter sets, transportation network grid structure and geographical location information set, emergency repair vehicle driving parameter set, fault repair time set, accident passing time and energy system fault information at the accident passing time.

3. The method for repairing regional integrated energy system faults based on post-disaster road conditions according to claim 2 is characterized in that: In the process of calculating the fault repair time by setting the repair time calculation strategy, the calculation formula of the set repair time calculation strategy is: t e =t path,ck +t rep,e t rep,e =λ se,e l ra,e t re,e Where, t e is the estimated total time for the emergency repair task of the faulty component e; t rep,e is the estimated repair time required for the faulty component e; t path,ck is the minimum travel time between points c and k; E is the set of road sections in the traffic network; (i,j) is the road section between nodes i and j; b ij is a 0-1 variable, 1 means the path passes through the segment (i, j) between nodes i and j, 0 means it does not pass through; t pass,ij It 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 fault severity coefficient of component e, its value is related to the fault scenario and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

4. The method for repairing regional integrated energy system faults based on post-disaster road conditions according to claim 3 is characterized in that: The calculation formula for the expected load recovery efficiency of the fault point is: In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The estimated load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

5. The method for repairing regional integrated energy system faults based on post-disaster road conditions according to claim 4 is characterized in that: The steps for the dispatch center to dispatch the emergency repair team to perform the emergency repair task according to the fault emergency repair strategy are as follows: The dispatch center dispatches the emergency repair team to perform the emergency repair task; The dispatch center determines whether there are any repair teams that can be deployed; if not, it waits for the repair team to complete its tasks; if so, it proceeds to the next step; The dispatch center determines whether there are any unassigned repair points; if not, proceed to the next step; if yes, determine whether it is the last fault; if so, dispatch the repair team to perform the repair task; if not, calculate the repair time and expected load recovery efficiency for the remaining repair points, and update the dispatch strategy; dispatch the repair team to perform the repair task according to the updated dispatch strategy; The dispatch center determines whether all faults have been repaired; If not, wait for the emergency repair task to be completed; If yes, record the emergency repair data; the emergency repair data includes: load recovery status and total emergency repair time.

6. The method for repairing regional integrated energy system faults based on post-disaster road conditions according to claim 5 is characterized in that: The resilience index of the electric, gas and heat subsystems is used as an evaluation index of the fault repair strategy; the lower the value of the resilience index, the better the system resilience is and the better the fault repair strategy is; The toughness index expression of the electrical, gas and thermal subsystems is: In the formula, R E , R G , R H They are the resilience index of the power system, the resilience index of the gas system, and the resilience index of the thermal system; t0 is the time when the emergency repair strategy starts to be implemented; t1 is the time when emergency repair ends; and They are the active load reduction of the power node, the gas load reduction of the gas node, and the thermal load reduction of the thermal node at time t.

7. A regional integrated energy system fault repair device based on post-disaster road conditions, adopting a regional integrated energy system fault repair method based on post-disaster road conditions as described in any one of claims 1 to 6, characterized in that: include: The electricity-gas-heat-transportation fusion network model construction module is used to integrate the electricity-gas-heat energy links and build a topological collection network; The topological collection network is coupled with the transportation network to construct an electricity-gas-heat-transportation fusion network model; The electricity-gas-heat-traffic fusion network model processing module is used to input the damage information of the energy system and the transportation network when the extreme disaster passes through the electricity-gas-heat-traffic fusion network model; and output the location and traffic information of the repair team's vehicles through the electricity-gas-heat-traffic fusion network model processing; A fault repair time calculation module is used to calculate the fault repair time according to the position of the repair team vehicle and the traffic information by setting a repair time calculation strategy; A restorable electric power, gas, and heat system load calculation module is used to calculate the restorable electric power, gas, and heat system load at the disaster site by setting a load calculation strategy; An expected load recovery efficiency calculation module is used to calculate the expected load recovery efficiency of the fault point according to the load of the recoverable power-gas-heat system by setting a load recovery efficiency calculation strategy; A fault repair strategy acquisition module is used 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 used for the dispatching center to dispatch a repair team to perform the repair task according to the fault repair strategy.

8. The regional integrated energy system fault repair device based on post-disaster road conditions according to claim 7 is characterized in that: In the electricity-gas-heat-transportation fusion network model processing module, in the process of inputting the damage information of the energy system and transportation network when an extreme disaster passes through the electricity-gas-heat-transportation fusion network model, the damage information of the energy system and transportation network includes: energy system component parameters and operation parameter sets, transportation network grid structure and geographical location information sets, emergency repair vehicle driving parameter sets, fault repair time sets, accident passing time and energy system fault information at the accident passing time.

9. The regional integrated energy system fault repair device based on post-disaster road conditions according to claim 8 is characterized in that: In the fault repair time calculation module, in the process of calculating the fault repair time by setting the repair time calculation strategy, the calculation formula of the set repair time calculation strategy is: t e =t path,ck +t rep,e t rep,e =λ se,e l ra,e t re,e Where, t e is the estimated total time for the emergency repair task of the faulty component e; t rep,e is the estimated repair time required for the faulty component e; t path,ck is the minimum travel time between points c and k; E is the set of road sections in the traffic network; (i,j) is the road section between nodes i and j; b ij is a 0-1 variable, 1 means the path passes through the segment (i, j) between nodes i and j, 0 means it does not pass through; t pass,ij It 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 fault severity coefficient of component e, its value is related to the fault scenario and its value range is (0,1]; λ ra,e is the repair efficiency coefficient of component e, which is related to the proficiency and number of repair personnel and is generally set to 0.9; t re,e It is the basic fault repair time value of component e.

10. The regional integrated energy system fault repair device based on post-disaster road conditions according to claim 9 is characterized in that: In the expected load recovery efficiency calculation module, the calculation formula of the expected load recovery efficiency of the fault point is: In the formula, f e The expected load recovery efficiency brought by the repair of the faulty component e; F e The estimated total load recovery for component e repair; is the load recovery amount of power node m expected to be brought about by the repair of component e failure, φ E represents the set of power grid nodes, The total amount of load recovery for each power node; The estimated load recovery amount of gas node n caused by repairing the faulty component e, φ G Represents a collection of gas network nodes; is the load recovery amount of thermal node i, φ H represents the set of hot network nodes; α E , α G , α H are the weight coefficients of electric load, gas load and heat load respectively. When there is no special emphasis, α can be taken E =α G =α H =1.

Citation Information

Patent Citations

  • Power distribution network post-disaster repair decision-making method considering information fusion of traffic network and power distribution network

    CN112837172A

  • Power distribution network first-aid repair recovery method considering traffic network influence

    CN114722337A

  • Power distribution network two-stage first-aid repair recovery rolling optimization method under extreme disaster

    CN115455726A

  • Power distribution network post-disaster first-aid repair operation strategy optimization method considering renewable energy source and load uncertainty

    CN115982927A

  • Dynamic elastic power supply recovery method and system for urban power system under typhoon disaster

    CN116031918A