A method and system for comprehensive evaluation of urban-level electrical thermal storage system resilience considering multi-stage response process state characteristics

Abstract

This invention discloses a comprehensive resilience evaluation method and system for urban-level electrical thermal storage systems, considering the state characteristics of a multi-stage response process, in the field of power system automation technology. The method includes: dividing the entire response process of the urban-level electrical thermal storage system into three stages based on control measures under extreme events: a resilience resistance stage, an operational response stage, and an emergency recovery stage; constructing a resilience resistance characteristic model based on load holding capacity, network integrity, and critical load connectivity during the resilience resistance stage; constructing a resilience maintenance characteristic model based on load maintenance capacity and critical load maintenance capacity throughout the three stages; constructing a resilience recovery characteristic model based on load response capacity and load recovery capacity during the operational response stage and the emergency recovery stage; and constructing a comprehensive resilience evaluation model for the urban-level electrical thermal storage system by integrating the resilience resistance characteristic model, the resilience maintenance characteristic model, and the resilience recovery characteristic model, and then performing a comprehensive resilience evaluation.

Description

Technical Field

[0001] This invention relates to the field of power system automation technology, and in particular to a comprehensive evaluation method and system for the resilience of urban-level electrical thermal storage systems that takes into account the state characteristics of multi-stage response processes. Background Technology

[0002] Due to the impact of extreme weather and natural disasters, large-scale power outages have occurred frequently in recent years, resulting in a sharp increase in economic losses. Furthermore, the increasing frequency and intensity of extreme weather events such as floods, hurricanes, and blizzards pose even more severe challenges to the safe and stable operation of urban-level power-gas-heat-storage systems.

[0003] Against this backdrop, domestic and international research institutions have proposed the concept of power system resilience to measure its performance under extreme events. The term resilience, derived from the English word "resilience," literally means "to bounce back," and is widely used to evaluate the ability of an individual or system to withstand stress and recover after disturbances. Power system resilience typically refers to the system's ability to withstand damage from extreme events, adapt, and recover rapidly afterward. Compared to the requirements for reliability in power systems, resilience places higher demands on electrical infrastructure construction and disaster prevention, emphasizing the system's ability to withstand the impact of disasters, bear the consequences of failures, and restore power supply to loads.

[0004] Preliminary research has been conducted on the resilience assessment of power systems under extreme weather conditions. Regarding resilience modeling and assessment index systems, research has evolved from single performance indicators to comprehensive index systems, with relevant assessment dimensions categorized into three types: attribute-based, performance-based, and impact-based. Attribute-based indicators focus on the disaster resistance capabilities of the power grid hardware (e.g., line anti-icing level, backup power capacity); performance-based indicators quantify the system functional losses after a fault (e.g., load recovery rate, outage duration); and impact-based indicators extend to socio-economic costs (e.g., GDP loss due to power outages, livelihood impact index). To address the issue that current power system assessment methods neglect the differences in system state characteristics during the response process under extreme events, it is necessary to further refine traditional resilience indicators by incorporating the state characteristics of different stages in typical power system resilience curves. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a comprehensive evaluation method and system for the resilience of urban-level electrical-thermal-storage systems that takes into account the state characteristics of multi-stage response processes. Based on the multi-stage response process of urban-level electrical-gas-thermal-storage systems under extreme scenarios, this invention proposes a resilience evaluation method for urban-level electrical-gas-thermal-storage systems from three different perspectives, reflecting the system's resistance to load loss under extreme events, its ability to maintain survival during disasters, and its timeliness of recovery, thus demonstrating the multifaceted and hierarchical nature of the resilience characteristics of urban-level electrical-gas-thermal-storage systems.

[0006] To solve the above-mentioned technical problems, the present invention is implemented using the following technical solution:

[0007] In a first aspect, the present invention provides a comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems that takes into account the state characteristics of multi-stage response processes, including:

[0008] Based on the control measures for urban-level electrical thermal storage systems under extreme events, the entire response process of urban-level electrical thermal storage systems is divided into three stages: resilience stage, operational response stage, and emergency recovery stage.

[0009] Based on the load holding capacity, network integrity, and critical load connectivity of the urban-level electrical thermal storage system during the resilience phase, a resilience characteristic model of the urban-level electrical thermal storage system under extreme events is constructed.

[0010] Based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process, a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events is constructed.

[0011] Based on the load response and load recovery capabilities of urban-level electrical thermal storage systems during the operation response and emergency recovery phases, a resilience recovery characteristic model of urban-level electrical thermal storage systems under extreme events is constructed.

[0012] By integrating the resilience resistance characteristic model, resilience maintenance characteristic model, and resilience recovery characteristic model of urban-level electrical thermal storage system under extreme events, a comprehensive resilience evaluation model for urban-level electrical thermal storage system is constructed, and a comprehensive resilience evaluation is conducted.

[0013] Optionally, the resilience phase is from the moment an extreme event occurs to the moment when the load loss of the city-level electrical thermal storage system is at its maximum. The control measures during this phase include primary frequency regulation on the grid side, the action of the second and third lines of defense, the automatic switching action of the backup system, and emergency dispatching on the heating and gas supply sides.

[0014] The operational response phase is from the moment when the load loss of the city-level electrical thermal storage system is at its maximum until the moment when emergency repair personnel are deployed to carry out emergency repairs and power supply. The control measures in this phase include the optimization and adjustment of AGC commands on the dispatch side and the adjustment or reconfiguration of the power grid operation mode.

[0015] The emergency recovery phase refers to the period from when emergency repair personnel are deployed to the city-level electrical thermal storage system to carry out emergency repairs and power supply until the load is fully restored to the level before the extreme event. The control measures in this phase include emergency repairs, point-to-point emergency power supply, and grid restoration and reconfiguration.

[0016] Optionally, the step of constructing a resilience characteristic model of the city-level electrical thermal storage system under extreme events based on the load holding capacity, network integrity, and critical load connectivity of the city-level electrical thermal storage system during the resilience phase includes:

[0017] The load holding capacity is obtained by measuring the average load maintained by the city-level electrical thermal storage system during the resilience phase relative to the system load before the occurrence of extreme events.

[0018] The network integrity is obtained by comparing the average number of branches maintained by the city-level electrical thermal storage system during the resilience phase with the number of branches before the occurrence of extreme events.

[0019] The critical load connectivity is obtained by comparing the number of critical loads with a power supply path to the main grid of the city-level electrical thermal storage system during the resilience phase with the number of critical loads with a power supply path to the main grid before the occurrence of the extreme event.

[0020] By combining load holding capacity, network integrity, and critical load connectivity, a resilience and resistance characteristic model of a city-level electrical thermal storage system under extreme events is obtained.

[0021] Optionally, the expression for the load holding amount is:

[0022] ,

[0023] in, Indicates the load holding capacity. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence For the moment when extreme events occur, This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time;

[0024] The expression for network integrity is:

[0025] ,

[0026] in, Indicates network integrity. The total number of branch roads, for The number of branches that are cut off at any given time;

[0027] The expression for the critical load connectivity is:

[0028] ,

[0029] in, Indicates critical load connectivity. express The number of heterogeneous load nodes that are disconnected at any time.

[0030] Optionally, the step of constructing a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system in three stages includes:

[0031] The load maintenance level is obtained based on the proportion of the average load level that the city-level electrical thermal storage system can maintain throughout the three-stage process to the pre-disaster baseline.

[0032] The critical load maintenance quantity is obtained based on the percentage of time that the critical load of the city-level electrical thermal storage system remains unpowered throughout the three-stage process.

[0033] By combining the load maintenance and critical load maintenance parameters, a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events is obtained.

[0034] Optionally, the expression for the load maintenance amount is:

[0035] ,

[0036] in, Indicates the load maintenance level. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence Indicates the moment when an extreme event occurs. This indicates the moment when the load has fully recovered to the level before the extreme event occurred. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time express Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time;

[0037] The expression for the critical load maintenance amount is:

[0038] ,

[0039] in, This indicates the critical load maintenance level.

[0040] Optionally, the step of constructing a resilience and recovery characteristic model of the city-level electrical thermal storage system under extreme events, based on the load response and load recovery capabilities of the city-level electrical thermal storage system during the operation response and emergency recovery phases, includes:

[0041] The load response capability is obtained based on the proportion of time the city-level electrical thermal storage system enters response during the operation response phase and the emergency recovery phase.

[0042] The load recovery capacity is obtained based on the average load recovery level of the city-level electrical thermal storage system during the recovery phase;

[0043] By combining load response capability and load recovery capability, a resilience recovery characteristic model of urban-level electrical thermal storage system under extreme events is obtained.

[0044] Optionally, the expression for the load response capability is:

[0045] ,

[0046] in, Indicates load response capability. This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. The point at which the load fully recovers to pre-extreme event levels. This is the moment when the load loss no longer increases;

[0047] The expression for the load recovery capability is:

[0048] ,

[0049] in, Indicates load recovery capability. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence This indicates the time when emergency repair personnel were deployed to carry out emergency repairs and restore power. , It is a set of heterogeneous load nodes. for Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time Indicates the moment when an extreme event occurs.

[0050] Optionally, the expression for the comprehensive resilience evaluation model of the city-level electrical thermal storage system is:

[0051] ,

[0052] in, This describes a comprehensive evaluation of the resilience of the electrical thermal storage system. Indicates the load holding capacity. Indicates network integrity. Indicates critical load connectivity. Indicates the load maintenance level. Indicates the critical load maintenance level. Indicates load response capability. Indicates load recovery capability. The importance coefficient of the defensive feature. The importance coefficient of the maintenance feature. This is the importance coefficient for maintenance features.

[0053] Secondly, the present invention provides a comprehensive resilience evaluation system for urban-level electrical thermal storage systems that considers the state characteristics of multi-stage response processes, used to implement the comprehensive resilience evaluation method for urban-level electrical thermal storage systems that considers the state characteristics of multi-stage response processes as described in any of the first aspects, including:

[0054] The response process segmentation module is used to divide the entire response process of a city-level electrical thermal storage system into three stages based on the control measures for the system under extreme events: the resilience stage, the operational response stage, and the emergency recovery stage.

[0055] The resilience and resistance characteristic modeling module is used to: construct a resilience and resistance characteristic model of the city-level electrical thermal storage system under extreme events based on the load holding capacity, network integrity, and critical load connectivity of the city-level electrical thermal storage system during the resilience and resistance phase.

[0056] The resilience maintenance characteristic modeling module is used to: construct a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process.

[0057] The resilience recovery feature modeling module is used to: construct a resilience recovery feature model of the city-level electrical thermal storage system under extreme events based on the load response capability and load recovery capability of the city-level electrical thermal storage system during the operation response phase and the emergency recovery phase;

[0058] The resilience comprehensive evaluation module is used to: construct a comprehensive resilience evaluation model for urban-level electrical thermal storage systems by integrating the resilience resistance characteristic model, resilience maintenance characteristic model, and resilience recovery characteristic model under extreme events, and to conduct a comprehensive resilience evaluation.

[0059] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0060] 1. The comprehensive evaluation method for the resilience of urban-level electrical-thermal-storage systems proposed in this invention takes into account the state characteristics of multi-stage response processes. Based on the multi-stage response process of urban-level electrical-gas-thermal-storage systems under extreme scenarios, it evaluates resilience from three different perspectives, reflecting the system's resistance to load loss, its ability to survive disasters, and its timeliness of recovery under extreme events, thus demonstrating the multifaceted and hierarchical nature of the resilience characteristics of urban-level electrical-gas-thermal-storage systems.

[0061] 2. The urban-level electrical-thermal-storage system resilience comprehensive evaluation system proposed in this invention, which takes into account the state characteristics of the multi-stage response process, comprehensively reflects the system's ability to resist load loss, maintain power supply to various loads, and achieve rapid load recovery under extreme events by setting up a response process division module, a resilience resistance characteristic modeling module, a resilience maintenance characteristic modeling module, a resilience recovery characteristic modeling module, and a resilience comprehensive evaluation module. It has guiding significance for the comprehensive evaluation of urban-level electrical-gas-thermal-storage system resilience under current extreme events. Attached Figure Description

[0062] Figure 1 A flowchart of a comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems that takes into account the state characteristics of multi-stage response processes, provided according to an embodiment of the present invention;

[0063] Figure 2 This is a schematic diagram of the toughness curve of a bathtub under extreme events according to an embodiment of the present invention. Detailed Implementation

[0064] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0065] It should be noted that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0066] Example 1

[0067] This invention discloses a comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems that takes into account the state characteristics of multi-stage response processes, with reference to... Figure 1 As shown, the specific steps include the following:

[0068] S1. Based on the control measures for urban-level electrical thermal storage systems under extreme events, the entire response process of urban-level electrical thermal storage systems is divided into three stages: resilience stage, operational response stage, and emergency recovery stage.

[0069] S2. Based on the load holding capacity, network integrity, and critical load connectivity of the city-level electrical thermal storage system during the resilience phase, construct a resilience characteristic model of the city-level electrical thermal storage system under extreme events.

[0070] S3. Based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process, a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events is constructed.

[0071] S4. Based on the load response and load recovery capabilities of the city-level electrical thermal storage system during the operation response and emergency recovery phases, a resilience recovery characteristic model of the city-level electrical thermal storage system under extreme events is constructed.

[0072] S5. Based on the resilience resistance characteristic model, resilience maintenance characteristic model and resilience recovery characteristic model of urban-level electrical thermal storage system under extreme events, construct a comprehensive resilience evaluation model for urban-level electrical thermal storage system, and conduct a comprehensive resilience evaluation.

[0073] Specifically, in step S1, the entire response process is divided into three stages according to the city-level electrical thermal storage system control measures: a resilience stage, an operational response stage, and an emergency recovery stage. The resilience stage extends from the moment the extreme event occurs to the moment of maximum system load loss. Control measures in this stage include primary frequency regulation on the grid side, second and third line of defense actions, automatic transfer switch actions, and emergency dispatching on the heating and gas supply sides. The operational response stage extends from the moment of maximum load loss to the moment emergency repair personnel are deployed to carry out emergency repairs and power supply. Key measures in this stage include optimizing and adjusting AGC commands on the dispatch side and adjusting or reconfiguring the grid operation mode. The emergency recovery stage extends from the moment emergency repair personnel are deployed to carry out emergency repairs and power supply until the load fully recovers to pre-event levels. Key measures in this stage include emergency repairs, point-to-point emergency power supply, and grid restoration and reconfiguration. The timing of each stage is as follows: Figure 2 As shown.

[0074] In step S2, the system performance under the resilience of extreme events is described to withstand the most severe situation. A mathematical expression model of the system's resilience characteristics under extreme events is constructed, mainly including load holding capacity, network integrity, and critical load connectivity, and quantitative calculations are performed. Specifically:

[0075] Step 2-1: Load holding capacity mainly reflects the proportion of the average load maintained during the resilience phase to the system load before the occurrence of extreme events. Its expression is:

[0076] ,

[0077] in, Indicates the load holding capacity. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence For the moment when extreme events occur, This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time;

[0078] Step 2-2: Network integrity primarily reflects the ratio of the average number of branches maintained by the city-level electrical thermal storage system network during the resilience phase to the total number of branches of the city-level electrical thermal storage system network before the occurrence of an extreme event. Its expression is:

[0079] ,

[0080] in, Indicates network integrity. The total number of branch roads, for The number of branches that are cut off at any given time;

[0081] Steps 2-3: Critical load connectivity primarily reflects the proportion of critical loads with power supply paths to the main grid of the electrical thermal storage system during the resilience phase to the proportion of critical loads with power supply paths to the main grid before the occurrence of extreme events. Its expression is:

[0082] ,

[0083] in, Indicates critical load connectivity. express The number of heterogeneous load nodes that are disconnected at any time.

[0084] In step S3, the system's ability to maintain performance throughout the three stages under the influence of extreme events is described. A mathematical expression model of the system's resilience maintenance characteristics under extreme events is constructed, mainly including load maintenance quantity and critical load maintenance quantity, and quantitative calculations are performed. Specifically:

[0085] Step 3-1: The load sustaining capacity mainly characterizes the proportion of the average load level that the system can sustain throughout the entire disturbance phase relative to the pre-disaster baseline. Its expression is:

[0086] ,

[0087] in, Indicates the load maintenance level. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence Indicates the moment when an extreme event occurs. This indicates the moment when the load has fully recovered to the level before the extreme event occurred. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time express Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time;

[0088] Step 3-2: Load sustaining capacity primarily characterizes the percentage of time during which critical loads remain "power-free" throughout the entire extreme event process. Its expression is:

[0089] ,

[0090] in, This indicates the critical load maintenance level.

[0091] In step S4, the system's operational response and emergency recovery phase under the influence of extreme events are described. A mathematical expression model of the system's resilience and recoverability under extreme events is constructed, mainly including load recovery capability and load response capability, and quantitative calculations are performed. Specifically:

[0092] Step 4-1: Load recovery capability mainly characterizes the average recovery level of the system during the recovery phase. The faster and higher the recovery, the larger the characteristic value. Its expression is:

[0093] ,

[0094] in, Indicates load response capability. This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. The point at which the load fully recovers to pre-extreme event levels. This is the moment when the load loss no longer increases;

[0095] Step 4-2: Load response capability mainly characterizes the proportion of time the system enters the response phase during operation and emergency recovery. The earlier and longer the response lasts, the larger the characteristic value. Its expression is:

[0096] ,

[0097] in, Indicates load recovery capability. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence This indicates the time when emergency repair personnel were deployed to carry out emergency repairs and restore power. , It is a set of heterogeneous load nodes. for Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time Indicates the moment when an extreme event occurs.

[0098] In step 5, considering the resilience, sustainability, and recoverability characteristics of the city-level electricity-gas-heat-storage system under extreme events, a comprehensive evaluation model of the city-level electricity-gas-heat-storage system's resilience, taking into account system state characteristics, is constructed using a weighted aggregation method. The specific expression is as follows:

[0099] ,

[0100] in, This describes a comprehensive evaluation of the resilience of the electrical thermal storage system. Indicates the load holding capacity. Indicates network integrity. Indicates critical load connectivity. Indicates the load maintenance level. Indicates the critical load maintenance level. Indicates load response capability. Indicates load recovery capability. The importance coefficient of the defensive feature. The importance coefficient of the maintenance feature. The importance coefficients for sustaining characteristics can be flexibly configured based on the focus of resilience enhancement optimization and control costs.

[0101] In summary, the comprehensive resilience evaluation method for urban-level electrical-thermal-storage systems proposed in this embodiment, which considers the state characteristics of multi-stage response processes, addresses the multi-stage response process of urban-level electrical-gas-thermal-storage systems under extreme events. First, it divides the event into a resilience defense stage, an operational response stage, and an emergency recovery stage based on control measures. Then, it describes the system's ability to withstand the most severe conditions during the resilience defense stage under the influence of extreme events, constructs a mathematical expression model of the system's resilience defense characteristics under extreme events, and performs quantitative calculations. Finally, it describes the system's ability to maintain performance throughout the three stages under the influence of extreme events, constructs a mathematical expression model of the system's resilience maintenance characteristics under extreme events, and performs quantitative calculations. This study calculates and describes the system's response capability and recovery speed during the operational response and emergency recovery phases under the influence of extreme events. It constructs a mathematical expression model of the system's resilience and recovery characteristics under extreme events and performs quantitative calculations. Finally, it integrates the resilience, sustainability, and recovery characteristics of urban-level electricity-gas-heat-storage systems under extreme events to construct a comprehensive evaluation model of the resilience of urban-level electricity-gas-heat-storage systems based on system state characteristics. This model comprehensively reflects the system's ability to withstand load loss, maintain power supply to various loads, and achieve rapid load recovery under extreme events, demonstrating the multifaceted and hierarchical nature of the resilience characteristics of urban-level electricity-gas-heat-storage systems. It provides guidance for the comprehensive evaluation of the resilience of urban-level electricity-gas-heat-storage systems under current extreme events.

[0102] Example 2:

[0103] Based on the same inventive concept as Embodiment 1, this embodiment provides a comprehensive resilience evaluation system for urban-level electrical thermal storage systems that takes into account the state characteristics of multi-stage response processes, including:

[0104] The response process segmentation module is used to divide the entire response process of a city-level electrical thermal storage system into three stages based on the control measures for the system under extreme events: the resilience stage, the operational response stage, and the emergency recovery stage.

[0105] The resilience and resistance characteristic modeling module is used to: construct a resilience and resistance characteristic model of the city-level electrical thermal storage system under extreme events based on the load holding capacity, network integrity, and critical load connectivity of the city-level electrical thermal storage system during the resilience and resistance phase.

[0106] The resilience maintenance characteristic modeling module is used to: construct a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process.

[0107] The resilience recovery feature modeling module is used to: construct a resilience recovery feature model of the city-level electrical thermal storage system under extreme events based on the load response capability and load recovery capability of the city-level electrical thermal storage system during the operation response phase and the emergency recovery phase;

[0108] The resilience comprehensive evaluation module is used to: construct a comprehensive resilience evaluation model for urban-level electrical thermal storage systems by integrating the resilience resistance characteristic model, resilience maintenance characteristic model, and resilience recovery characteristic model under extreme events, and to conduct a comprehensive resilience evaluation.

[0109] The specific functions of each module described above are explained in the relevant content of the method in Embodiment 1, and will not be repeated here.

[0110] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0112] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0113] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0114] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems that considers the state characteristics of multi-stage response processes, characterized in that, include: Based on the control measures for urban-level electrical thermal storage systems under extreme events, the entire response process of urban-level electrical thermal storage systems is divided into three stages: resilience stage, operational response stage, and emergency recovery stage. Based on the load holding capacity, network integrity, and critical load connectivity of the urban-level electrical thermal storage system during the resilience phase, a resilience characteristic model of the urban-level electrical thermal storage system under extreme events is constructed. Based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process, a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events is constructed. Based on the load response and load recovery capabilities of urban-level electrical thermal storage systems during the operation response and emergency recovery phases, a resilience recovery characteristic model of urban-level electrical thermal storage systems under extreme events is constructed. By integrating the resilience resistance characteristic model, resilience maintenance characteristic model, and resilience recovery characteristic model of urban-level electrical thermal storage system under extreme events, a comprehensive resilience evaluation model for urban-level electrical thermal storage system is constructed, and a comprehensive resilience evaluation is conducted.

2. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 1, characterized in that, The resilience phase is from the moment an extreme event occurs to the moment when the load loss of the city-level electrical thermal storage system is at its maximum. The control measures in this phase include primary frequency regulation on the grid side, the action of the second and third lines of defense, the automatic switching action of backup power, and emergency dispatching on the heating and gas supply sides. The operational response phase is from the moment when the load loss of the city-level electrical thermal storage system is at its maximum until the moment when emergency repair personnel are deployed to carry out emergency repairs and power supply. The control measures in this phase include the optimization and adjustment of AGC commands on the dispatch side and the adjustment or reconfiguration of the power grid operation mode. The emergency recovery phase refers to the period from when emergency repair personnel are deployed to the city-level electrical thermal storage system to carry out emergency repairs and power supply until the load is fully restored to the level before the extreme event. The control measures in this phase include emergency repairs, point-to-point emergency power supply, and grid restoration and reconfiguration.

3. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 1, characterized in that, The model for the resilience characteristics of a city-level electrical thermal storage system under extreme events is constructed based on the load holding capacity, network integrity, and critical load connectivity of the system during the resilience phase. This includes: The load holding capacity is obtained by measuring the average load maintained by the city-level electrical thermal storage system during the resilience phase relative to the system load before the occurrence of extreme events. The network integrity is obtained by comparing the average number of branches maintained by the city-level electrical thermal storage system during the resilience phase with the number of branches before the occurrence of extreme events. The critical load connectivity is obtained by comparing the number of critical loads with a power supply path to the main grid of the city-level electrical thermal storage system during the resilience phase with the number of critical loads with a power supply path to the main grid before the occurrence of the extreme event. By combining load holding capacity, network integrity, and critical load connectivity, a resilience and resistance characteristic model of a city-level electrical thermal storage system under extreme events is obtained.

4. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 3, characterized in that, The expression for the load holding amount is: ， in, Indicates the load holding capacity. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence For the moment when extreme events occur, This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time; The expression for network integrity is: ， in, Indicates network integrity. The total number of branch roads, for The number of branches that are cut off at any given time; The expression for the critical load connectivity is: ， in, Indicates critical load connectivity. express The number of heterogeneous load nodes that are disconnected at any time.

5. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 1, characterized in that, The model for the resilience maintenance characteristics of a city-level electrical thermal storage system under extreme events is constructed based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system in three stages, including: The load maintenance level is obtained based on the proportion of the average load level that the city-level electrical thermal storage system can maintain throughout the three-stage process to the pre-disaster baseline. The critical load maintenance quantity is obtained based on the percentage of time that the critical load of the city-level electrical thermal storage system remains unpowered throughout the three-stage process. By combining the load maintenance and critical load maintenance parameters, a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events is obtained.

6. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 5, characterized in that, The expression for the load maintenance amount is: ， in, Indicates the load maintenance level. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence Indicates the moment when an extreme event occurs. This indicates the moment when the load has fully recovered to the level before the extreme event occurred. , It is a set of heterogeneous load nodes. express Multiple heterogeneous loads at any time express Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time; The expression for the critical load maintenance amount is: ， in, This indicates the critical load maintenance level.

7. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 1, characterized in that, The model for the resilience and resilience of urban-level electrical thermal storage systems under extreme events is constructed based on the load response and load recovery capabilities of these systems during the operational response and emergency recovery phases. This includes: The load response capability is obtained based on the proportion of time the city-level electrical thermal storage system enters response during the operation response phase and the emergency recovery phase. The load recovery capacity is obtained based on the average load recovery level of the city-level electrical thermal storage system during the recovery phase; By combining load response capability and load recovery capability, a resilience recovery characteristic model of urban-level electrical thermal storage system under extreme events is obtained.

8. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 7, characterized in that, The expression for the load response capability is: ， in, Indicates load response capability. This represents the moment when the load loss of the city-level electrical thermal storage system is at its maximum. The point at which the load fully recovers to pre-extreme event levels. This is the moment when the load loss no longer increases; The expression for the load recovery capability is: ， in, Indicates load recovery capability. Indicating extreme scenarios The number of Indicating extreme scenarios probability of occurrence This indicates the time when emergency repair personnel were deployed to carry out emergency repairs and restore power. , It is a set of heterogeneous load nodes. for Multiple heterogeneous loads at any time for Multi-heterogeneous load loss at any time Before the disaster Standard load value at any time Indicates the moment when an extreme event occurs.

9. The comprehensive evaluation method for the resilience of urban-level electrical thermal storage systems considering multi-stage response process state characteristics as described in claim 1, characterized in that, The expression for the comprehensive resilience evaluation model of the city-level electrical thermal storage system is as follows: ， in, This describes a comprehensive evaluation of the resilience of the electrical thermal storage system. Indicates the load holding capacity. Indicates network integrity. Indicates critical load connectivity. Indicates the load maintenance level. Indicates the critical load maintenance level. Indicates load response capability. Indicates load recovery capability. The importance coefficient of the defensive feature. The importance coefficient of the maintenance feature. This is the importance coefficient for maintenance features.

10. A comprehensive evaluation system for the resilience of urban-level electrical thermal storage systems that considers the state characteristics of multi-stage response processes, characterized in that, include: The response process segmentation module is used to divide the entire response process of a city-level electrical thermal storage system into three stages based on the control measures for the system under extreme events: the resilience stage, the operational response stage, and the emergency recovery stage. The resilience and resistance characteristic modeling module is used to: construct a resilience and resistance characteristic model of the city-level electrical thermal storage system under extreme events based on the load holding capacity, network integrity, and critical load connectivity of the city-level electrical thermal storage system during the resilience and resistance phase. The resilience maintenance characteristic modeling module is used to: construct a resilience maintenance characteristic model of the city-level electrical thermal storage system under extreme events based on the load maintenance and critical load maintenance of the city-level electrical thermal storage system throughout the three-stage process. The resilience recovery feature modeling module is used to: construct a resilience recovery feature model of the city-level electrical thermal storage system under extreme events based on the load response capability and load recovery capability of the city-level electrical thermal storage system during the operation response phase and the emergency recovery phase; The resilience comprehensive evaluation module is used to: construct a comprehensive resilience evaluation model for urban-level electrical thermal storage systems by integrating the resilience resistance characteristic model, resilience maintenance characteristic model, and resilience recovery characteristic model under extreme events, and to conduct a comprehensive resilience evaluation.

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