A method and apparatus for assessing the resilience of an electrothermal energy system

Abstract

This invention discloses a method and apparatus for assessing the resilience of an electrothermal energy system, relating to the field of electrothermal energy system resilience assessment technology. Responding to a received system resilience assessment request, the method acquires parameter information corresponding to the electrothermal energy system according to a preset cycle. Based on the thermodynamic parameters, electrical parameters, and a preset electrothermal energy model from the parameter information, the corresponding heat exchange characteristic parameters are determined. Based on the building heat exchange parameters, heat exchange characteristic parameters, and a preset heat balance function from the parameter information, the corresponding system performance curve is determined. Based on the standard system performance value and the system performance curve from the parameter information, the resilience assessment value corresponding to the electrothermal energy system is determined. This invention solves the technical problem that existing system resilience assessments mainly consider the system's rapid recovery capability, without considering user comfort when assessing the resilience of electrothermal energy systems.

Description

Technical Field

[0001] This invention relates to the field of resilience assessment technology for electrothermal energy systems, and more particularly to a method and apparatus for assessing the resilience of electrothermal energy systems. Background Technology

[0002] In recent years, frequent extreme natural disasters have severely impacted power transmission lines, power generation facilities, and heating equipment, leading to large-scale power and heating outages. This not only causes enormous economic losses but also seriously disrupts people's daily lives. In response to this need, the concept of power system resilience has emerged as a new research field. Resilience is a crucial characteristic of a system, enabling it to remain stable when subjected to external disturbances and to adapt and recover within a certain timeframe. For the thermal subsystem, there is a large amount of infrastructure such as heating pipelines, especially during winter when heating loads are high, resulting in the investment of numerous electric boilers, heat pumps, and other equipment. Considering the coupling between heating and power supply in electric thermal energy systems, and with global warming and increased human activity leading to more frequent natural disasters, accurately assessing the system's resilience level is a current challenge. Therefore, there is an urgent need to establish a comprehensive set of resilience assessment indicators and methods for regional integrated energy systems (RIES).

[0003] Currently, the main approach is to comprehensively consider the system's robustness and rapid recovery capability, integrating the resilience index with time as the component of system functional impairment. However, this method has certain limitations and cannot comprehensively and accurately assess the resilience capability of an electrothermal energy system. Summary of the Invention

[0004] This invention provides a method and apparatus for assessing the resilience of an electric heating energy system. It addresses the limitation of existing system resilience assessments, which primarily consider system robustness and rapid recovery capability by integrating the resilience index with time over the degree of functional impairment. These methods cannot comprehensively and accurately assess the resilience of electric heating energy systems. Therefore, this invention solves the problem that existing system resilience assessments mainly consider rapid recovery capability without taking user comfort into account when assessing the resilience of electric heating energy systems.

[0005] The first aspect of this invention provides a method for evaluating the resilience of an electrothermal energy system, applied to an electrothermal energy system, comprising:

[0006] In response to a received system resilience assessment request, parameter information corresponding to the electrothermal energy system is acquired according to a preset cycle;

[0007] Based on the thermodynamic parameters, electrical parameters, and preset electrothermal energy model of the parameter information, the corresponding heat exchange characteristic parameters are determined;

[0008] Based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function, the corresponding system performance curve is determined;

[0009] Based on the standard system performance values ​​and the system performance curves of the parameter information, the resilience assessment value corresponding to the electrothermal energy system is determined.

[0010] Optionally, the electrothermal energy model includes a power system model and a thermodynamic system model. The step of determining the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, power parameters, and the preset electrothermal energy model includes:

[0011] The power parameters of the parameter information are input into the power system model to generate the corresponding node active power load parameters;

[0012] The thermal parameters of the parameter information are input into the thermal system model to generate the corresponding nodal heat exchange parameters.

[0013] The active load parameters and heat exchange parameters of the nodes are used as heat exchange characteristic parameters.

[0014] Optionally, the step of determining the corresponding system performance curve based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function of the parameter information includes:

[0015] The building outdoor temperature, heat source power, and indoor temperature at the same time are selected sequentially from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters.

[0016] All the performance analysis parameters and the building heat capacity and building thermal resistance among the building heat exchange parameters are input into a preset heat balance function to generate corresponding performance evaluation parameters.

[0017] The system performance curve is generated using the performance evaluation parameters and the time associated with the performance evaluation parameters.

[0018] Optionally, the step of determining the resilience assessment value of the electrothermal energy system based on the standard system performance value and the system performance curve of the parameter information includes:

[0019] The standard system performance value of the parameter information is compared with the performance evaluation value in the system performance curve to generate a first difference value.

[0020] Determine whether the first difference is less than a preset recovery threshold;

[0021] When the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value;

[0022] The recovery assessment value and the standard system performance value are input into a preset recovery force assessment function to generate the recovery force assessment value corresponding to the electrothermal energy system.

[0023] Optionally, the heat balance function is specifically:

[0024]

[0025] Among them, C a For building heat capacity, R a For building thermal resistance, Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

[0026] The second aspect of this invention provides a restoring force assessment device for an electrothermal energy system, applied to an electrothermal energy system, comprising:

[0027] The acquisition module is used to acquire parameter information corresponding to the electrothermal energy system according to a preset period in response to the received system resilience assessment request.

[0028] The feature parameter acquisition module is used to determine the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, electrical parameters and preset electrothermal energy model of the parameter information;

[0029] The analysis module is used to determine the corresponding system performance curve based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function of the parameter information;

[0030] The evaluation module is used to determine the resilience evaluation value of the electrothermal energy system based on the standard system performance values ​​and the system performance curve of the parameter information.

[0031] Optionally, the electrothermal energy model includes a power system model and a thermal system model, and the feature parameter acquisition module includes:

[0032] The active load submodule is used to input the power parameters of the parameter information into the power system model and generate the corresponding node active load parameters.

[0033] The heat exchange submodule is used to input the thermal parameters of the parameter information into the thermal system model and generate the corresponding nodal heat exchange parameters.

[0034] The determination submodule is used to use the node active load parameters and the node heat exchange parameters as heat exchange characteristic parameters.

[0035] Optionally, the analysis module includes:

[0036] The selection submodule is used to sequentially select the building outdoor temperature, heat source power and indoor temperature at the same time from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters.

[0037] The analysis submodule is used to input all the performance analysis parameters and the building heat capacity and building thermal resistance among the building heat exchange parameters into a preset heat balance function to generate corresponding performance evaluation parameters.

[0038] The curve submodule is used to generate system performance curves using the performance evaluation parameters and the times associated with the performance evaluation parameters.

[0039] Optionally, the evaluation module includes:

[0040] The difference submodule is used to perform difference processing on the standard system performance value of the parameter information and the performance evaluation value in the system performance curve to generate a first difference;

[0041] The judgment submodule is used to determine whether the first difference is less than a preset recovery threshold;

[0042] When the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value;

[0043] The evaluation submodule is used to input the recovery evaluation value and the standard system performance value into a preset recovery force evaluation function to generate the recovery force evaluation value corresponding to the electrothermal energy system.

[0044] Optionally, the heat balance function is specifically:

[0045]

[0046] Among them, C a For building heat capacity, R a For building thermal resistance, Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

[0047] As can be seen from the above technical solutions, the present invention has the following advantages:

[0048] In response to a received system resilience assessment request, the system acquires parameter information corresponding to the electrothermal energy system according to a preset cycle. Based on the thermodynamic and electrical parameters and a preset electrothermal energy model, it determines the corresponding heat exchange characteristic parameters. Based on the building heat exchange parameters, heat exchange characteristic parameters, and a preset heat balance function, it determines the corresponding system performance curve. Based on the standard system performance value and the system performance curve, it determines the resilience assessment value for the electrothermal energy system. This solves the technical problem that existing system resilience assessments mainly consider system robustness and rapid recovery capabilities, failing to comprehensively and accurately assess the resilience of electrothermal energy systems. This application improves the accuracy of assessing the resilience of electrothermal energy systems by introducing a coupling relationship between the electrothermal energy system and the user side to evaluate the system after a disaster. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a flowchart illustrating the steps of a method for evaluating the resilience of an electrothermal energy system according to Embodiment 1 of the present invention.

[0051] Figure 2 This is a flowchart illustrating the steps of a method for evaluating the resilience of an electrothermal energy system according to Embodiment 2 of the present invention.

[0052] Figure 3 This is a schematic diagram of the restoring force triangle provided in Embodiment 2 of the present invention;

[0053] Figure 4 This is a schematic diagram illustrating the change in the restoring force index without considering user comfort, provided in Embodiment 2 of the present invention.

[0054] Figure 5 This is a schematic diagram illustrating the change in the resilience index when considering user comfort, provided in Embodiment 2 of the present invention.

[0055] Figure 6 This is a structural topology diagram of the electrothermal energy system provided in Embodiment 2 of the present invention;

[0056] Figure 7 This is a schematic diagram of electricity purchase price provided in Embodiment 2 of the present invention;

[0057] Figure 8 This is a schematic diagram of the ambient temperature provided in Embodiment 2 of the present invention;

[0058] Figure 9 This is a schematic diagram of the indoor temperature changes corresponding to each node in a fault scenario of branch 1 provided in Embodiment 2 of the present invention.

[0059] Figure 10 This is a schematic diagram of the indoor temperature changes corresponding to each node under a fault scenario of branch 10 provided in Embodiment 2 of the present invention.

[0060] Figure 11 This is a structural block diagram of an electrothermal energy system resilience assessment device provided in Embodiment 3 of the present invention. Detailed Implementation

[0061] This invention provides a method and apparatus for assessing the resilience of an electric heating energy system. It addresses the problem that existing system resilience assessments primarily consider system robustness and rapid recovery capability, integrating the resilience index as the integral of system functional impairment over time. However, this method has limitations and cannot comprehensively and accurately assess the resilience capability of an electric heating energy system. Therefore, this invention solves the technical problem that existing system resilience assessments mainly consider the system's rapid recovery capability, without taking user comfort into account when assessing the resilience of electric heating energy systems.

[0062] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0063] Please see Figure 1 , Figure 1 The flowchart illustrates the steps of a method for evaluating the resilience of an electrothermal energy system according to Embodiment 1 of the present invention.

[0064] This invention provides a method for evaluating the resilience of an electrothermal energy system, applicable to electrothermal energy systems, comprising:

[0065] Step 101: In response to the received system resilience assessment request, obtain the parameter information corresponding to the electric heating energy system according to the preset cycle.

[0066] Parameter information refers to the operating parameters of the electric heating energy system when a fault occurs. These operating parameters include, but are not limited to, the upper and lower limits of the generator's output power, the generator unit's output at each moment, the limit power value of each power branch, the correlation between power system nodes and branches, the active load of each node, the generator set and line set, the heat energy generated by each coupled device at each moment, the amount of natural gas consumed, the amount of electrical energy consumed, etc., the pipes flowing into the node and the pipes flowing out of the node, the mass flow rate of the fluid in the pipes at each time period, the pipe's impedance factor to the fluid, the absolute roughness of the pipe, the diameter of the pipe, the heat exchange between the heat exchange station and the heat load at each time period, the mass of the working fluid flowing through the heat exchange station at each time period, the supply water temperature and return water temperature flowing through the heat exchange station at each time period, the heat load at the heat exchange station at each time period, the outlet temperature of the hot water flowing out of the pipe at each time period, the pipes connected to the node at the outlet, the pipes connected to the node at the inlet, the building's heat capacity, the building's thermal resistance, the heat source power, the indoor standard temperature, the indoor temperature, and the building's outdoor temperature, etc.

[0067] In this embodiment of the invention, when a system resilience assessment request is received, the operating condition parameters of the electric heating energy system within 48 hours of the disaster are obtained.

[0068] Step 102: Determine the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, electrical parameters, and preset electrothermal energy model of the parameter information.

[0069] Heat exchange characteristic parameters refer to the active load at each node of the electric heating energy system and the amount of heat exchanged between the heat exchange station and the heat load at each moment.

[0070] In this embodiment of the invention, the thermal and electrical parameters of each node at each time point in the parameter information are input into a pre-constructed electrothermal energy model to generate a target electrothermal energy model, and the heat exchange characteristic parameters of the target electrothermal energy model at each node at each time point are solved.

[0071] It should be noted that the target electrothermal energy model is approximately a virtual power plant that constructs an electrothermal energy system.

[0072] Step 103: Determine the corresponding system performance curve based on the building heat exchange parameters, heat exchange characteristic parameters and preset heat balance function of the parameter information.

[0073] Building heat exchange parameters refer to the building heat capacity, building thermal resistance, and indoor standard temperature of the electrothermal energy model.

[0074] In this embodiment of the invention, the building thermal capacity, building thermal resistance, indoor standard temperature, and heat exchange characteristic parameters of each node are input into a preset heat balance function to generate performance evaluation parameters within 48 hours of the disaster, and the corresponding system performance curve is generated using the performance evaluation parameters.

[0075] Step 104: Based on the standard system performance values ​​and system performance curves of the parameter information, determine the restoring force assessment value corresponding to the electrothermal energy system.

[0076] Standard system performance values ​​refer to the performance evaluation parameters of a normal electrothermal energy system.

[0077] In this embodiment of the invention, the difference between the performance evaluation parameters of a normal electrothermal energy system and the system performance curve is integrated to generate the restoring force evaluation value corresponding to the electrothermal energy system.

[0078] In this embodiment of the invention, in response to a received system resilience assessment request, parameter information corresponding to the electrothermal energy system is acquired according to a preset cycle. Based on the thermodynamic parameters, electrical parameters, and a preset electrothermal energy model, the corresponding heat exchange characteristic parameters are determined. Based on the building heat exchange parameters, heat exchange characteristic parameters, and a preset heat balance function, the corresponding system performance curve is determined. Based on the standard system performance value and the system performance curve, the resilience assessment value corresponding to the electrothermal energy system is determined. This solves the technical problem that existing system resilience assessments mainly consider system robustness and rapid recovery capability, and cannot comprehensively and accurately assess the resilience capability of electrothermal energy systems. This application improves the accuracy of assessing the resilience capability of electrothermal energy systems by introducing a coupling relationship between the electrothermal energy system and the user side to assess the electrothermal energy system after a disaster.

[0079] Please see Figure 2 , Figure 2 The flowchart illustrates the steps of a method for evaluating the resilience of an electrothermal energy system according to Embodiment 2 of the present invention.

[0080] This invention provides a method for evaluating the resilience of an electrothermal energy system, applicable to electrothermal energy systems, comprising:

[0081] Step 201: In response to the received system resilience assessment request, obtain the parameter information corresponding to the electric heating energy system according to the preset cycle.

[0082] In this embodiment of the invention, when a system resilience assessment request is received from maintenance personnel, the parameter information of the electric heating energy system within a preset period after the disaster is obtained.

[0083] Step 202: Input the power parameters of the parameter information into the power system model to generate the corresponding node active power load parameters.

[0084] In this embodiment of the invention, the power parameters of each node m in the parameter information are input into the power system model to generate the active power load parameters of each node.

[0085] It should be noted that the power system model is as follows:

[0086]

[0087] P G，i，t -P G，i，t-1 ≤R U，i ;

[0088] P G，i，t-1 -P G，i，t ≤R D，i ;

[0089]

[0090] ∑ i∈SG G m，i P G，i +∑ l∈NL H ml fl l =P D，m ;

[0091] in, PG is the lower limit of the output power of the generator at node i. i Let be the output power of the generator at node i. P represents the upper limit of the generator output power at node i, where i is the node number. G，i，t Let P be the output of generator unit i at time t. G，i，t-1 R represents the output of generator unit i at time t-1. U，i R is the upper limit of the uphill climb for generator set i. D，i This represents the upper limit of the downhill climb for generator set i. P represents the maximum power that can be saved on branch l, where l is the branch number. l G is the power flowing through branch l. m，i H represents the relationships between generator nodes, branches, and nodes. ml P represents the relationships between nodes, branches, and nodes in a power system. D，m Let SG be the active load of node m, SG be the generator set, and NL be the line set.

[0092] Step 203: Input the thermodynamic parameters of the parameter information into the thermodynamic system model to generate the corresponding nodal heat exchange parameters.

[0093] In this embodiment of the invention, the thermal parameters of each node in the parameter information are input into the thermal system model, which contains the node heat exchange parameters corresponding to each node.

[0094] It should be noted that the specific model of the thermal system is as follows:

[0095]

[0096]

[0097]

[0098] h f =R*P|P|

[0099] R = ε / D

[0100]

[0101]

[0102]

[0103] in, The heat generated by EB The electrical energy used by EB, which is an electric boiler, is η. i For EB, the electrothermal ratio is used; for GB, it refers to a gas-fired boiler. The heat energy generated by the gas-fired boiler, λ represents the amount of natural gas consumed by the gas-fired boiler. i For the heat output per unit of natural gas, For all pipes connected to node n and into which fluid flows, For all pipes connected to node n and from which fluid flows, q t,j Let q be the mass flow rate of the fluid in pipe j during time period t. t,k Let be the mass flow rate of the fluid in pipe k during time interval t, P be the fluid flow rate, R be the pipe's resistance factor to the fluid, and h be the mass flow rate of the fluid in pipe k. f Where is the pressure loss value, D is the pipe diameter, ε is the absolute roughness of the pipe, Ht,i is the heat exchange rate between heat exchange station i and the heat load at time t, and m i，j Let t be the mass of the working fluid flowing through heat exchange station i during time period t. Let t be the water supply temperature flowing through heat exchange station i during time period t. Let t be the return water temperature flowing through heat exchange station i during time period t. Let t be the heat load at heat exchange station i during time period t. The outlet temperature of the hot water flowing out of the pipe. Let be the outlet temperature of the hot water flowing out of the pipe during time period t. The pipe is the outlet connected to node n. The pipe is the entrance connected to node n.

[0104] Step 204: Use the node active load parameters and node heat exchange parameters as heat exchange characteristic parameters.

[0105] In this embodiment of the invention, the active load parameters and heat exchange parameters of each node at each time point are used as heat exchange characteristic parameters.

[0106] Step 205: Determine the corresponding system performance curve based on the building heat exchange parameters, heat exchange characteristic parameters and preset heat balance function of the parameter information.

[0107] Furthermore, step 205 includes the following sub-steps:

[0108] S11. Select the building's outdoor temperature, heat source power, and indoor temperature at the same time from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters.

[0109] In this embodiment of the invention, the building's outdoor temperature, heat source power, and indoor temperature at the same time are selected sequentially from all the building heat exchange parameters and heat exchange characteristic parameters as performance analysis parameters.

[0110] S12. Input all performance analysis parameters and building heat capacity and building thermal resistance from the building heat exchange parameters into the preset heat balance function to generate the corresponding performance evaluation parameters.

[0111] In this embodiment of the invention, all performance analysis parameters and building heat capacity and building thermal resistance from the building heat exchange parameters are used as inputs to the heat balance function to generate corresponding performance evaluation parameters.

[0112] It should be noted that the heat balance function is as follows:

[0113]

[0114] Among them, C a For building heat capacity, R a For building thermal resistance, Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

[0115] S13. Generate system performance curves by using performance evaluation parameters and the time points associated with the performance evaluation parameters.

[0116] In this embodiment of the invention, the performance curve of the electric heating energy system is generated within 120 hours of the disaster by using the performance evaluation parameters and the time associated with the performance evaluation parameters.

[0117] It is worth mentioning that, see Figure 3As shown, the performance curve of a normal system can be described by Q0, while the performance curve under extreme disasters can be described by Q(t). Q1 represents the level of most severe performance degradation. Using the resilience triangle, the system's resilience exponent can be defined as the normalized area of ​​performance degradation during extreme disasters. Therefore, the quantitative resilience exponent can be obtained through R. The higher the exponent, the lower the system resilience.

[0118] Step 206: Based on the standard system performance values ​​and system performance curves of the parameter information, determine the restoring force assessment value corresponding to the electrothermal energy system.

[0119] Furthermore, step 206 includes the following sub-steps:

[0120] S21. Perform difference processing on the standard system performance value of the parameter information and the performance evaluation value in the system performance curve to generate the first difference value.

[0121] In this embodiment of the invention, the first difference between the standard system performance value Q0 of the calculated parameter information and the performance evaluation value at each moment in the system performance curve is calculated.

[0122] S22. Determine whether the first difference is less than the preset recovery threshold.

[0123] In this embodiment of the invention, by determining whether the first difference is less than a preset recovery threshold, it is determined whether the electric heating energy system is in a fault state at the moment associated with the performance evaluation value.

[0124] It is worth mentioning that when the first difference is greater than or equal to the recovery threshold, the electric heating energy system is determined to be in normal condition at the moment associated with the performance evaluation value.

[0125] S23. When the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value.

[0126] In this embodiment of the invention, when the first difference is less than the recovery threshold, it is determined that the electric heating energy system associated with the performance evaluation value is in a fault state, and the performance evaluation value is determined as the recovery evaluation value.

[0127] S24. Input the recovery assessment value and the standard system performance value into the preset recovery force assessment function to generate the recovery force assessment value corresponding to the electric heating energy system.

[0128] In this embodiment of the invention, the recovery assessment value and the standard system performance value are input into a preset recovery force assessment function to perform differential solution on the system performance curve at the time of the fault state, thereby generating the recovery force assessment value corresponding to the electrothermal energy system.

[0129] It should be noted that the resilience assessment function is as follows:

[0130]

[0131] r sys =∑ i∈I R i ;

[0132] Among them, R i r represents the load reduction amount for node i in the system. sys The value represents the resilience assessment, where I is the total number of RIES nodes, t1 is the fault start time, and t2 is the fault end time.

[0133] It is worth noting that there are complex coupling relationships on the user side of an integrated energy system, which can be described using an energy hub. An energy hub is defined as using a coupling matrix to correlate input and output energy, describing the input, output, and coupling relationships in an integrated energy system. Here, the output energy of the energy hub is set as the energy directly meeting user needs, i.e., user load demand, denoted as LD (Load Demand); the input energy of the energy hub is the energy demand generated by the energy supply network to meet user load needs, i.e., user load supply, denoted as LS (Load Supply). LD is the output of the energy hub, and LS is the input. The specific forms of LD and LS can be varied. For example, the output end can represent electrical load demand and heat load demand, expressed as light energy, electrical energy, and indoor temperature; the input end can represent electrical load supply, heat load supply, and gas load supply, respectively supplied by the electricity, heat, and natural gas subsystems. Based on the time response relationship between LD and LS, loads can be divided into two types: one is a load without inertia, where the load's response to supply is instantaneous. When the supply stops, the user's demand load immediately stops, such as indoor lighting demand; the lighting stops immediately after the power supply is cut off. Figure 4 As shown, another type is the load with inertia. When the load supply is interrupted, the user's load does not disappear immediately, but rather there is a certain time delay. The system can still meet some of the demand for a short period, exhibiting a certain degree of inertia. For example... Figure 5 As shown, for loads with inertial LD-LS delay characteristics, such as when the heating equipment stops supplying electricity or the hot water stops flowing, the user's heating demand will not disappear immediately and can still meet a portion of the demand for a short period of time. This delay characteristic also needs to be considered in the dynamic characteristics of the heat load in order to accurately assess the energy system's ability to continuously meet the user's LD.

[0134] In another embodiment, see Figure 5 As shown, the resilience assessment value of the electrothermal energy system is obtained by solving the area of ​​the closed region formed by the system performance curve and the system performance curve under normal conditions.

[0135] In one embodiment, see Figure 6As shown, the resilience assessment value of a combined energy system consisting of a 9-node power system and a 6-node thermal system is calculated. The thermoelectric coupling equipment includes electric boilers and gas-fired boilers. The selected dispatch cycle is 120 hours, the dispatch phase duration is 0.5 hours, and the electricity price purchased from the energy market is as follows. Figure 7 As shown, the ambient temperature is as follows Figure 8 As shown, the relevant parameters of the heating network are listed in Table 1 (heating network pipe parameters) and Table 2 (heating network node parameters). The maximum indoor temperature that users can tolerate is set to 10℃ (the temperature corresponding to a PMV value of -4 under the parameter settings of this invention), the minimum allowable temperature is 18℃ (the temperature corresponding to a PMV value of -2), and the maximum indoor temperature is 26℃.

[0136] Table 1

[0137] Pipe number First node End node Flow rate length diameter 1 1 2 265.85 3500 0.8 2 2 3 241.41 1750 0.8 3 3 4 143.58 1750 0.8 4 2 5 24.44 750 0.8 5 3 6 97.82 1750 0.8

[0138] Table 2

[0139] Node number 1 2 3 4 5 6 Node weight 1 1 1 2 1 2

[0140] For corresponding electrothermal energy systems, the resilience of the system is assessed by calculating the load reduction caused by a fault, which is the total load under normal operation minus the total load under fault conditions. This invention simulates faults in all 14 branches of the thermoelectric coupling model, selecting the period from 8 PM to 6 AM the following day as the fault time, and calculates the load reduction under each branch fault scenario during the fault time. The resilience index for each branch fault scenario is obtained, and the results are shown in Table 3, which does not consider user comfort as the resilience index for each branch fault scenario.

[0141] Table 3

[0142]

[0143]

[0144] It can be seen that the load reduction at each node is quite severe under the fault scenarios of branch 1 and branch 10. For example, the indoor temperature changes at each node are shown below. Figure 9-10 As shown.

[0145] Table 4 shows the resilience indices for each branch fault scenario after considering user comfort. A comparison reveals that the load reduction is smaller under power branch faults, but larger under heating branch faults. This is because load reduction in heating branches easily causes a significant drop in indoor temperature, leading to a wider range of user tolerance variations and consequently, a greater load reduction affected by human tolerance. Therefore, this application can reduce the deviation of the load reduction in the integrated energy system, resulting in a more accurate assessment of the resilience of the integrated electric and heating energy system.

[0146] Table 4

[0147] Faulty line number 1 2 3 4 5 6 7 <![CDATA[r sys / MWh]]> 68.26 58.79 53.74 44.53 36.30 28.01 23.99 Faulty line number 8 9 10 11 12 13 14 <![CDATA[r sys / MWh]]> 18.07 13.02 41.90 25.85 6.55 9.63 4.58

[0148] In this embodiment of the invention, in response to a received system resilience assessment request, parameter information corresponding to the electrothermal energy system is acquired according to a preset cycle. Based on the thermodynamic parameters, electrical parameters, and a preset electrothermal energy model, the corresponding heat exchange characteristic parameters are determined. Based on the building heat exchange parameters, heat exchange characteristic parameters, and a preset heat balance function, the corresponding system performance curve is determined. Based on the standard system performance value and the system performance curve, the resilience assessment value corresponding to the electrothermal energy system is determined. This solves the technical problem that existing system resilience assessments mainly consider the system's rapid recovery capability, without considering user comfort when assessing the resilience of electrothermal energy systems. This application improves the accuracy of assessing the resilience of electrothermal energy systems by introducing a coupling relationship between the electrothermal energy system and the user side to evaluate the electrothermal energy system after a disaster.

[0149] Please see Figure 11 , Figure 11 This is a structural block diagram of an electrothermal energy system resilience assessment device provided in Embodiment 3 of the present invention.

[0150] This invention provides a restorative force assessment device for an electrothermal energy system, applicable to an electrothermal energy system, comprising:

[0151] The acquisition module 301 is used to acquire the parameter information corresponding to the electric heating energy system according to a preset cycle in response to the received system resilience assessment request.

[0152] The feature parameter acquisition module 302 is used to determine the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, electrical parameters and preset electrothermal energy model of the parameter information;

[0153] Analysis module 303 is used to determine the corresponding system performance curve based on the building heat exchange parameters, heat exchange characteristic parameters and preset heat balance function of the parameter information;

[0154] Evaluation module 304 is used to determine the resilience evaluation value of the electrothermal energy system based on the standard system performance values ​​and system performance curves of parameter information.

[0155] Furthermore, the electrothermal energy model includes an electric system model and a thermal system model, and the feature parameter acquisition module 302 includes:

[0156] The active load submodule is used to input the power parameters of the parameter information into the power system model and generate the corresponding node active load parameters;

[0157] The heat exchange submodule is used to input the thermodynamic parameters of the parameter information into the thermodynamic system model and generate the corresponding nodal heat exchange parameters;

[0158] The determination submodule is used to use the node active load parameters and node heat exchange parameters as heat exchange characteristic parameters.

[0159] Furthermore, the analysis module 303 includes:

[0160] The selection submodule is used to sequentially select the building's outdoor temperature, heat source power, and indoor temperature at the same time from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters.

[0161] The analysis submodule is used to input all performance analysis parameters and building heat capacity and building thermal resistance from the building heat exchange parameters into a preset heat balance function to generate corresponding performance evaluation parameters.

[0162] The curve submodule is used to generate system performance curves by taking performance evaluation parameters and the time associated with those parameters.

[0163] Furthermore, evaluation module 304 includes:

[0164] The difference submodule is used to perform difference processing between the standard system performance value of the parameter information and the performance evaluation value in the system performance curve to generate the first difference;

[0165] The judgment submodule is used to determine whether the first difference is less than the preset recovery threshold;

[0166] If the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value.

[0167] The evaluation submodule is used to input the recovery evaluation value and the standard system performance value into a preset recovery force evaluation function to generate the recovery force evaluation value corresponding to the electrothermal energy system.

[0168] Furthermore, the heat balance function is specifically:

[0169]

[0170] Where Ca is the building heat capacity and Ra is the building thermal resistance. Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

[0171] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0172] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0173] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0174] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the resilience of an electrothermal energy system, characterized in that, Applications in electric heating energy systems include: In response to a received system resilience assessment request, parameter information corresponding to the electrothermal energy system is acquired according to a preset cycle; Based on the thermodynamic parameters, electrical parameters, and preset electrothermal energy model of the parameter information, the corresponding heat exchange characteristic parameters are determined; Based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function, the corresponding system performance curve is determined; Based on the standard system performance values ​​and the system performance curves of the parameter information, the resilience assessment value of the electrothermal energy system is determined. The step of determining the corresponding system performance curve based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function includes: The building outdoor temperature, heat source power, and indoor temperature at the same time are selected sequentially from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters. All the performance analysis parameters and the building heat capacity and building thermal resistance among the building heat exchange parameters are input into a preset heat balance function to generate corresponding performance evaluation parameters. The system performance curve is generated by using the performance evaluation parameters and the time associated with the performance evaluation parameters; The step of determining the resilience assessment value of the electrothermal energy system based on the standard system performance value and the system performance curve using the parameter information includes: The standard system performance value of the parameter information is compared with the performance evaluation value in the system performance curve to generate a first difference value. Determine whether the first difference is less than a preset recovery threshold; When the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value; The recovery assessment value and the standard system performance value are input into a preset recovery force assessment function to generate the recovery force assessment value corresponding to the electrothermal energy system.

2. The method for assessing the resilience of an electrothermal energy system according to claim 1, characterized in that, The electrothermal energy model includes a power system model and a thermodynamic system model. The step of determining the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, power parameters, and the preset electrothermal energy model includes: The power parameters of the parameter information are input into the power system model to generate the corresponding node active power load parameters; The thermal parameters of the parameter information are input into the thermal system model to generate the corresponding nodal heat exchange parameters. The active load parameters and heat exchange parameters of the nodes are used as heat exchange characteristic parameters.

3. The method for evaluating the resilience of an electrothermal energy system according to claim 1, characterized in that, The heat balance function is specifically: ； in, For building heat capacity, For building thermal resistance, Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

4. A device for assessing the resilience of an electrothermal energy system, characterized in that, Applications in electric heating energy systems include: The acquisition module is used to acquire parameter information corresponding to the electrothermal energy system according to a preset period in response to the received system resilience assessment request. The feature parameter acquisition module is used to determine the corresponding heat exchange characteristic parameters based on the thermodynamic parameters, electrical parameters and preset electrothermal energy model of the parameter information; The analysis module is used to determine the corresponding system performance curve based on the building heat exchange parameters, the heat exchange characteristic parameters, and the preset heat balance function of the parameter information; The evaluation module is used to determine the resilience evaluation value of the electrothermal energy system based on the standard system performance value and the system performance curve of the parameter information. The analysis module includes: The selection submodule is used to sequentially select the building outdoor temperature, heat source power and indoor temperature at the same time from the building heat exchange parameters and heat exchange characteristic parameters in the parameter information as performance analysis parameters. The analysis submodule is used to input all the performance analysis parameters and the building heat capacity and building thermal resistance among the building heat exchange parameters into a preset heat balance function to generate corresponding performance evaluation parameters. The curve submodule is used to generate a system performance curve using the performance evaluation parameters and the time associated with the performance evaluation parameters; The evaluation module includes: The difference submodule is used to perform difference processing on the standard system performance value of the parameter information and the performance evaluation value in the system performance curve to generate a first difference; The judgment submodule is used to determine whether the first difference is less than a preset recovery threshold; When the first difference is less than the recovery threshold, the performance evaluation value is determined as the recovery evaluation value; The evaluation submodule is used to input the recovery evaluation value and the standard system performance value into a preset recovery force evaluation function to generate the recovery force evaluation value corresponding to the electrothermal energy system.

5. The electrothermal energy system resilience assessment device according to claim 4, characterized in that, The electrothermal energy model includes a power system model and a thermal system model. The feature parameter acquisition module includes: The active load submodule is used to input the power parameters of the parameter information into the power system model and generate the corresponding node active load parameters. The heat exchange submodule is used to input the thermal parameters of the parameter information into the thermal system model and generate the corresponding nodal heat exchange parameters. The determination submodule is used to use the node active load parameters and the node heat exchange parameters as heat exchange characteristic parameters.

6. The restoring force assessment device for an electrothermal energy system according to claim 4, characterized in that, The heat balance function is specifically: ； in, For building heat capacity, For building thermal resistance, Let t be the outdoor temperature of the building. Let be the indoor temperature at node t. Let be the heat source power at node t.

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