A method for constructing a carbon hub model

Abstract

The present invention discloses a method for constructing a carbon hub model, comprising: allocating carbon emissions corresponding to energy conversion equipment losses to energy stations based on an energy hub model and a multi-energy carbon flow calculation method, analyzing the energy conversion process considering carbon losses, establishing carbon flow models of single-input-single-output and single-input-multi-output energy conversion devices considering carbon losses, respectively, and characterizing the carbon flow-carbon potential relationship between the input and output ports of the energy conversion equipment; based on the carbon flow model of the energy conversion device considering carbon losses, defining a carbon potential conversion efficiency to describe the carbon potential relationship between the input and output ports of the energy conversion device, and establishing a carbon hub model considering the carbon flow loss of the energy station; considering the case of centralized new energy access to the energy station, analyzing the relationship between the carbon emission flow rates within the energy station, defining a carbon emission flow rate conversion efficiency to describe the input and output carbon flow rate relationship of the energy conversion device, and establishing a carbon flow rate coupling matrix to realize the responsibility sharing of the carbon emissions of the energy station.

Description

Technical Field

[0001] The present invention relates to the fields of integrated energy systems, multi-energy coupling link modeling and multi-energy carbon emission flows, and in particular to a multi-energy carbon flow coupling link modeling method that takes into account carbon flow losses in energy stations and access to new energy sources. Background Art

[0002] Concerned about global environmental degradation, the energy sector is undergoing and will continue to undergo extensive and profound changes. Carbon emissions from the power industry account for approximately 41% of China's total CO2 emissions, posing a critical challenge for carbon reduction. Integrated energy systems achieve energy conservation and emission reduction by leveraging multiple energy sources to improve energy efficiency. Energy stations play a key role in this integration, acting as both energy consumers and providers.

[0003] At present, when it comes to energy system optimization, traditional macroeconomic measurement methods are often used to count carbon emission data. However, carbon elements cannot be accurately reflected in the generation, transmission, and use of energy systems. Therefore, the concept of carbon emission flow in power systems and integrated energy systems has been proposed and widely studied.

[0004] However, none of the aforementioned studies consider the carbon emission flow losses within energy stations. Energy stations function as energy conversion and distribution points, and therefore cannot be simply considered lossless transmission nodes without carbon emission flow losses in the analysis of carbon emission flows within integrated energy systems. In fact, energy stations inevitably incur energy flow losses while supplying energy to downstream loads, which in turn results in virtual carbon flow losses, a portion of which should be borne by the energy stations themselves.

[0005] Therefore, it is necessary to take into account process losses when studying carbon emissions from energy conversion, define the carbon emission responsibilities that the energy station itself should bear, and establish a corresponding carbon hub model. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a method for constructing a carbon hub model that considers carbon flow losses at energy stations and the access of centralized renewable energy sources. This method introduces the carbon hub model into the energy station model of an integrated energy system, establishes the relationship between the carbon potentials of input and output port nodes, analyzes the carbon flow coupling relationship under the conditions of carbon flow losses and centralized renewable energy access, and realizes the allocation of responsibility for carbon emissions from energy stations. Detailed description is provided below:

[0007] The purpose of the present invention is achieved through the following technical solutions:

[0008] A carbon hub model is constructed, taking into account carbon flow losses at energy stations and centralized new energy access, including:

[0009] 1) Allocate the carbon emissions corresponding to the energy conversion equipment losses to the energy stations. Considering the energy conversion process with carbon losses, establish carbon flow models for single-input-single-output energy conversion devices, single-input-multiple-output energy conversion devices, and centralized new energy output equipment.

[0010] 2) Based on the carbon flow model of energy conversion devices and centralized new energy output equipment that considers carbon loss, the carbon potential conversion efficiency of the energy conversion device is defined to describe the carbon potential relationship between the input and output ports, and a carbon hub model that considers the carbon flow loss of the energy station is established;

[0011] 3) Considering the case where centralized new energy output equipment is connected to the energy station, the relationship between the carbon emission flow rates within the energy station is analyzed, the carbon emission flow rate conversion efficiency of the energy conversion device is defined to describe the relationship between the input and output carbon flow rates, and a carbon flow rate coupling matrix is ​​established.

[0012] Further, wherein:

[0013] The carbon flow model of the single-input-single-output energy conversion device considering carbon loss is:

[0014]

[0015] Where, and are the nodal carbon potentials at the input and output ports of the single-input-single-output energy conversion device, respectively;

[0016] The carbon flow model of the single-input-multiple-output energy conversion device considering carbon loss is:

[0017]

[0018] Where, is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, and are the carbon potentials of the output port electrical and thermal nodes, respectively; and They are the electricity conversion and heat conversion efficiencies of the single-input-multiple-output energy conversion device respectively;

[0019] The carbon flow model of the centralized new energy output equipment considering carbon loss is:

[0020]

[0021] Where, It is the node carbon potential of the output port of centralized new energy output equipment.

[0022] Further, wherein:

[0023] The carbon potential conversion efficiency of the energy conversion device is:

[0024]

[0025] Where, is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, and are the carbon potential of the output port electrical and thermal nodes, μ I is the carbon potential conversion efficiency of a single-input-single-output energy conversion device; and are the carbon potential conversion efficiency of single-input-multiple-output energy conversion device to electricity and heat, respectively; μ III The carbon potential conversion efficiency of centralized new energy output equipment;

[0026] The carbon hub model considering the carbon flow loss of energy stations is:

[0027]

[0028] Where, and Input electric power and gas power to the energy station respectively, and The output power of the energy station is electric power and thermal power respectively; and Input the carbon potential of electricity node and natural gas node for energy station respectively, and are the carbon potential of the power output node and the thermal node of the energy station respectively; r represents the carbon flow conversion coefficient of the energy station.

[0029] Further, wherein:

[0030] The carbon emission flow rate conversion efficiency of the energy conversion device is:

[0031] λ=η·μ

[0032] Where λ is the carbon emission flow rate conversion efficiency of the energy conversion device, η is the energy conversion efficiency, and μ is the carbon potential conversion efficiency;

[0033] Considering the case where centralized new energy output equipment is connected to the energy station, the carbon flow rate coupling matrix is:

[0034] P out ·E out =R·P in ·E in

[0035] Where, P in and P out are the input and output active power vectors, E in and E outare the input and output carbon potential vectors respectively, and R is the carbon flow rate coupling matrix of the energy station.

[0036] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for constructing the carbon hub model when executing the program.

[0037] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method for constructing the carbon hub model when executed by a processor.

[0038] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0039] 1. Compared with the existing multi-energy carbon flow model based on multi-energy tidal flow calculation, the present invention takes into account the carbon flow loss in the energy conversion process, and allocates the carbon emissions corresponding to the loss of energy conversion equipment to the energy station as its carbon emission responsibility. It realizes the carbon emission accountability of the energy conversion device in the integrated energy system, and further clarifies the carbon reduction responsibility that each stakeholder object should bear in the regional integrated energy system.

[0040] 2. The present invention considers the carbon hub modeling method under centralized new energy access, defines the carbon potential conversion efficiency and carbon emission flow rate conversion efficiency to describe the carbon relationship between the input and output of the energy conversion device, and then establishes a carbon flow rate coupling matrix, which can describe the relationship between the carbon emission flow rates inside the energy station and the carbon potential relationship at the energy station port, and refines the carbon flow coupling relationship inside the energy station considering the loss, which can better distinguish the carbon flow characteristics and responsibility requirements in complex energy hubs.

[0041] 3. Applying the solution of the present invention, the impact of the access of centralized new energy output equipment on the carbon flow analysis of energy stations is studied. Taking into account the carbon reduction pressure faced by the corresponding stakeholders of energy hubs under the increasing demand for carbon reduction in the future, it is necessary to meet the carbon reduction requirements by increasing investment in new energy equipment. This makes up for the current lack of carbon flow analysis under the access of new energy output equipment to energy stations, and can better meet the urgent requirements of continued growth in energy demand and diversified energy development. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of the energy station structure without centralized new energy access.

[0043] Figure 2 Schematic diagram of the energy station structure including centralized new energy access.

[0044] Figure 3 Schematic diagram of the energy-carbon flow relationship of a single-input-single-output device.

[0045] Figure 4 Schematic diagram of the energy-carbon flow relationship of a single-input-multiple-output device.

[0046] Figure 5 Schematic diagram of the steady-state distribution results of multi-energy flow in energy stations without centralized new energy access.

[0047] Figure 6 Schematic diagram of the steady-state distribution results of multi-energy carbon emission flows in energy stations without centralized new energy access.

[0048] Figure 7 Schematic diagram of the steady-state distribution results of multi-energy carbon emission flows in energy stations that include centralized new energy access. DETAILED DESCRIPTION

[0049] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0050] This embodiment provides a method for constructing a carbon hub model that considers carbon flow losses at energy stations and centralized new energy access. The specific method is as follows:

[0051] S1. Energy hub model construction

[0052] Typical energy station structure Figure 1 As shown, if the energy hub model is used for construction, the matrix and vector mathematical expressions in the energy hub model can represent the conversion and storage process between different energy sources. The energy hub model consists of three parts: input (supply) vector P in , conversion matrix C and output (load) vector P out , the relationship is as follows:

[0053] P out =CP in (1)

[0054] by Figure 1 Taking the typical energy station shown in the figure as an example, its energy hub model is expressed as follows:

[0055]

[0056] Where, and Input electric power and gas power to the energy station respectively (using the product of pipeline flow and natural gas calorific value for equivalent calculation), and are the output electrical power and thermal power of the energy station respectively; η T is the conversion efficiency of the transformer (T), η GB is the conversion efficiency of the gas boiler (GB), and are the gas-to-electricity and gas-to-heat conversion efficiencies of combined heat and power (CHP), respectively; υ is the natural gas distribution coefficient of CHP.

[0057] With the increasing pressure of global environmental protection and the reduction of the cost of new energy construction, the penetration rate of various types of new energy, whether centralized or distributed, has increased significantly. Therefore, considering the centralized new energy access energy station Figure 2 As shown, at this time, the input matrix P of formula (2) needs to be in Correction is performed as shown in formula (3):

[0058]

[0059] Where, It is the extended input power for the output of centralized photovoltaic (PV) systems.

[0060] S2. Construction of carbon flow model for energy conversion device

[0061] By calculating the carbon flow of an integrated energy system, it is possible to control the carbon flow rate and node carbon potential of each branch of the electricity, gas, and heat networks in the system. For the power distribution network, CO2 is generated at the source (the grid access point in the previous section) and needs to be distributed from the source through the network to the load. For the gas distribution network, CO2 is generated at each load, and it is necessary to assume that the generated CO2 flows through the network and is distributed to the load. For the district heat network, the flow of CO2 is similar to that of the power distribution network. Energy stations, as coupling nodes in the integrated energy system, play the roles of both "source" and "load", which makes it difficult to summarize the internal carbon flow patterns. Previous research on carbon flow in the coupling links of integrated energy systems has simply modeled it as a transmission and distribution relationship of carbon emission flow rates. However, the special role of energy stations in the integrated energy system means that they must bear a portion of carbon emission responsibility. In this embodiment, the (virtual) carbon emission flow rate corresponding to the losses of energy conversion equipment is assigned to the energy station as its carbon emission responsibility.

[0062] To analyze the carbon flow patterns during energy conversion, we first need to establish a carbon flow model for the main energy conversion devices in an energy station. These can be divided into two main types: single-input-single-output conversion devices, such as power transformers and gas boilers, and single-input-multiple-output conversion devices, such as combined heat and power units. Furthermore, centralized renewable energy output equipment is considered.

[0063] (1) Single-input-single-output conversion device

[0064] Taking a gas boiler as an example, for this type of energy conversion device, all carbon emissions related to the input energy should be allocated to the output energy and the conversion device itself. The relationship between the carbon flow rate of the input port and the output port is shown in formula (4):

[0065]

[0066] Right now:

[0067]

[0068] Where R in 、R out and are the input carbon flow rate, output carbon flow rate and carbon flow rate loss of the gas boiler (tCO2 / h); and are the node carbon potentials of the gas boiler input and output ports (tCO2 / kWh); P in 、P out and P loss They are the active power at the input port, active power at the output port and active power loss (MW) of the gas boiler.

[0069] The conversion efficiency of the single-input-single-output conversion device (the conversion efficiency of the gas boiler is η GB ), that is, the energy output is in a certain proportion to the energy input, as shown in formula (6):

[0070] P out =η GB ·P in (6)

[0071] Combining equations (5) and (6), the carbon flow model of the gas boiler can be obtained as follows:

[0072]

[0073] Referring to the definition of energy conversion efficiency η, we can define the carbon potential conversion efficiency μ of the energy conversion device to characterize the carbon potential relationship between the input and output ports of the energy conversion device. From formula (7), we can see that the carbon potential conversion efficiency μ of the gas boiler is GB =1. Figure 3 Taking a gas boiler as an example, the energy-carbon flow relationship of a single-input-single-output device is described.

[0074] Similarly, the carbon flow models for the other two single-input-single-output conversion devices, electric boilers and power transformers, are shown below:

[0075]

[0076]

[0077] Where μ EB and μ T are the carbon potential conversion efficiency of electric boilers and power transformers respectively; and are the node carbon potentials of the electric boiler and power transformer input ports, respectively; and are the node carbon potentials of the output ports of the electric boiler and power transformer, respectively.

[0078] (2) Single-input-multiple-output conversion device

[0079] Taking the combined heat and power unit as an example, the carbon emission balance law still holds true. The carbon flow rate at the input port is equal to the sum of the carbon flow rate at the output port and the carbon flow rate loss of the conversion device, as shown in formula (10):

[0080]

[0081] Right now:

[0082]

[0083] Where R in 、 and are the input carbon flow rate, output electrical carbon flow rate, thermal carbon flow rate, and carbon flow rate loss (tCO2 / h) of the cogeneration unit; and are the node carbon potentials (tCO2 / kWh) of the input and output electricity and heat output ports of the cogeneration unit respectively; P in 、 and P loss They are the active power at the input port, output electricity, active power at the output heat port and active power loss (MW) of the cogeneration unit.

[0084] Unlike single-output conversion devices, in multi-output conversion devices, all carbon emissions related to the input energy should be allocated to the various output energies according to certain rules after deducting the carbon emissions corresponding to the energy conversion device. While there is no single method for allocating carbon emissions between multi-output energy conversion devices, an allocation method based on energy conversion efficiency is adopted here, which assumes that the carbon potential of the power output port and the heat output port is proportional to the corresponding energy conversion efficiency, as shown in Equation (12):

[0085]

[0086] The conversion efficiency of the single-input-multiple-output conversion device (the electricity and heat conversion efficiency of the cogeneration unit are and ), as shown in Equations (13) and (14):

[0087]

[0088]

[0089] Combining equations (11) to (14), the carbon flow model of the cogeneration unit can be obtained as shown in equation (15). Figure 4 Taking a combined heat and power unit as an example, the energy-carbon flow relationship of a single-input-multiple-output device is described.

[0090]

[0091] Where, and are the gas-to-electricity and gas-to-heat carbon potential conversion efficiencies of the cogeneration unit, respectively; is the node carbon potential of the input port of the cogeneration unit; and are the node carbon potentials of the electricity / heat output ports of the cogeneration unit respectively.

[0092] (3) Centralized new energy output equipment

[0093] Taking photovoltaics as an example, the way to connect centralized photovoltaics to energy stations is as follows: Figure 2 Obviously, photovoltaic is a zero-carbon "green electricity" output device, its output carbon flow rate is zero, and the output port carbon potential is zero, as shown in equations (16) and (17):

[0094]

[0095]

[0096] At this point, the carbon potential conversion efficiency of photovoltaics can be defined as zero, which means it is a zero-carbon power generation device:

[0097] μ PV =0 (18)

[0098] S3, Carbon Hub Model

[0099] As deduced in step 2 above, the input-output carbon flow rate relationships of the four energy conversion devices described in this embodiment are related to both the energy conversion efficiency η and the carbon potential conversion efficiency μ. Therefore, the present invention defines the carbon emission flow rate conversion efficiency λ of the energy conversion device, which can be given by the product of η and μ. The input-output carbon flow rate relationship of the energy conversion device is expressed as follows:

[0100] λ=η·μ (19)

[0101] Referring to the definition of the energy hub model, in order to describe the relationship between the carbon potential of the input and output ports of the energy station, the carbon flow rate coupling matrix R and the conversion relationship are defined as follows:

[0102] P out ·E out =R·P in ·E in(20)

[0103] Where, E in is the input carbon potential vector, E out is the output carbon potential vector.

[0104] by Figure 1 Taking the energy station shown in the figure as an example, the corresponding carbon hub matrix model considering carbon loss is as follows:

[0105]

[0106] Right now:

[0107]

[0108] in:

[0109]

[0110] Where λ T ,λ GB 、 and They represent the carbon emission flow rate conversion efficiency of power transformers, gas boilers, and cogeneration units for electricity and heat conversion, respectively.

[0111] When considering Figure 2 When considering the energy station shown in Figure 2, it is necessary to study the impact of the centralized renewable energy access to the energy station on the carbon hub matrix model. The access to photovoltaics reduces the amount of electricity purchased by the energy station from the upstream distribution network. However, since the downstream load remains unchanged, the total amount of electricity input to the power transformer remains unchanged. Therefore, the role of photovoltaics is to reduce the amount of electricity purchased by the energy station without affecting the matrix model form described in Equation (20).

[0112] The following is an analysis of the carbon hub model construction method with examples, as described below:

[0113] This embodiment selects a typical energy station for analysis. It is used as a heat source for the centralized heating network and meets part of the local power load. The power and heat loads provided by the energy station in a specific operating scenario are 5.534MW and 4.782MW respectively. The carbon potential of the energy station input power node and the carbon potential of the natural gas node are set to 0.5tCO2 / kWh and 0.4tCO2 / kWh respectively. Among them, the proportion of coal-fired power transmitted to the regional integrated energy system by the upper power grid is relatively large, and the proportion of new energy is relatively small; considering the incomplete combustion of natural gas, the set value of the natural gas node carbon potential is appropriately increased. The topology of the energy station is as follows Figure 1 As shown, the energy conversion equipment includes T, CHP and GB, and the conversion efficiency is shown in Table 1. The natural gas distribution coefficient of CHP is υ=0.5.

[0114] Table 1 Conversion efficiency of energy conversion equipment

[0115]

[0116] Based on the energy hub described in S1 and S3 and the carbon hub matrix model considering carbon loss, the energy flow relationship matrix C of the energy station input and output ports and the carbon emission flow rate coupling matrix R can be solved as shown below:

[0117]

[0118]

[0119] Comparing equations (24) and (25), it can be seen that due to the existence of the carbon potential conversion efficiency μ, the gas-to-electricity and gas-to-heat conversion amounts of the multi-energy carbon emission flow show a decrease (from 0.15 to 0.126) and an increase (from 0.625 to 0.649) respectively compared with the multi-energy tidal flow conversion, which means that the carbon flow is redistributed through the energy station.

[0120] Similarly, the steady-state distribution of multi-energy tidal currents and multi-energy carbon flows inside the EH is as follows: Figure 5 and 6 shown.

[0121] from Figure 5 and 6 It can be seen that the energy loss of the typical EH is 1.811MW, and the carbon emission flow rate increases by 0.733tCO2 / h. The three energy conversion devices all have energy losses due to conversion efficiency. Similarly, under the combined effect of energy conversion efficiency and carbon potential conversion efficiency, the three devices are all allocated corresponding carbon flows. In addition, from Figure 6 It can be seen that the carbon potential of the EH output electrical node is lower than that of the input, while the carbon potential of the thermal output node is higher than that of the input. This is also caused by the different carbon potential conversion efficiencies of different energy conversion devices, that is, μ T =μ GB =1,

[0122] consider Figure 2 The EH shown in the figure is connected to a centralized PV with a capacity of 1MW and inputs mixed hydrogen and natural gas. The total power input to the EH is reduced to 1.738MW, and the carbon potential of the gas input is reduced to 0.35tCO2 / kWh. Recalculate the carbon potential distribution of the EH input and output ports and the carbon emission flow rate distribution inside the EH. The results are as follows: Figure 7 As shown. Figure 6As can be seen, the carbon potential at the EH electrical output port has significantly decreased, from 0.466tCO2 / kWh to 0.368tCO2 / kWh. This is because part of the downstream electrical load is provided by the EH's renewable energy PV power generation equipment, whose output carbon flow rate is zero and does not contribute any carbon emissions. The carbon potential at the EH thermal output port has also decreased, and the carbon loss of CHP and GB distribution has also decreased. This is because the combustion of the same volume of hydrogen-mixed natural gas produces less CO2.

[0123] Preferably, the embodiments of the present application further provide a specific implementation of an electronic device capable of implementing all technical solutions in the carbon hub model construction method in the above embodiments, and the electronic device specifically includes the following contents:

[0124] Processor, memory, communications interface, and bus;

[0125] Among them, the processor, memory, and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between related devices such as server-side devices, metering devices, and user-side devices.

[0126] The processor is used to call the computer program in the memory, and when the processor executes the computer program, all the steps in the carbon hub model construction method in the above embodiment are implemented.

[0127] An embodiment of the present application also provides a computer-readable storage medium that can implement all the steps in the carbon hub model construction method in the above embodiment. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements all the steps in the carbon hub model construction method in the above embodiment.

[0128] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other. Each embodiment focuses on the differences between the other embodiments. In particular, the hardware + program embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0129] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0130] Although the present application provides method operation steps such as embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-creative work. The order of steps listed in the embodiments is only one way of executing the steps among many steps and does not represent the only execution order. When an actual device or client product is executed, it can be executed in the order shown in the embodiments or the drawings or in parallel (for example, in a parallel processor or multi-threaded processing environment).

[0131] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0134] The present invention is not limited to the embodiments described above. The above description of the specific embodiments is intended to describe and illustrate the technical solutions of the present invention. The above specific embodiments are merely illustrative and not restrictive. Without departing from the scope of the present invention and the scope of protection of the claims, those skilled in the art may make various specific modifications based on the teachings of the present invention, all of which fall within the scope of protection of the present invention.

Claims

1. A method for constructing a carbon hub model, taking into account carbon flow losses at energy stations and centralized new energy access, characterized in that: include: 1) Allocate the carbon emissions corresponding to the energy conversion equipment losses to the energy station. Considering the energy conversion process with carbon loss, establish carbon flow models for single-input-single-output energy conversion devices, single-input-multiple-output energy conversion devices, and centralized new energy output equipment. The carbon flow model for the single-input-single-output energy conversion device with carbon loss is: Where, and are the nodal carbon potentials at the input and output ports of the single-input-single-output energy conversion device, respectively; The carbon flow model of a single-input-multiple-output energy conversion device considering carbon loss is: Where, is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, and are the carbon potentials of the output port electrical and thermal nodes, respectively; and They are the electricity conversion and heat conversion efficiencies of the single-input-multiple-output energy conversion device respectively; The carbon flow model of centralized new energy output equipment considering carbon loss is: Where, The node carbon potential of the output port of the centralized new energy output equipment; 2) Based on the carbon flow model of energy conversion devices and centralized new energy output equipment that considers carbon loss, the carbon potential conversion efficiency of the energy conversion device is defined to describe the carbon potential relationship between the input and output ports, and a carbon hub model that considers the carbon flow loss of the energy station is established; 3) Considering the case where centralized new energy output equipment is connected to the energy station, the relationship between the carbon emission flow rates within the energy station is analyzed, the carbon emission flow rate conversion efficiency of the energy conversion device is defined to describe the relationship between the input and output carbon flow rates, and a carbon flow rate coupling matrix is ​​established.

2. The method for constructing a carbon hub model according to claim 1, characterized in that: in: The carbon potential conversion efficiency of the energy conversion device is: Where, is the node carbon potential of the input port of the single-input-multiple-output energy conversion device, and are the carbon potential of the output port electrical and thermal nodes, μ I is the carbon potential conversion efficiency of a single-input-single-output energy conversion device; and are the carbon potential conversion efficiency of single-input-multiple-output energy conversion device to electricity and heat, respectively; μ III The carbon potential conversion efficiency of centralized new energy output equipment; The carbon hub model considering the carbon flow loss of energy stations is: Where, and Input electric power and gas power to the energy station respectively, and The output power of the energy station is electric power and thermal power respectively; and Input the carbon potential of electricity node and natural gas node for energy station respectively, and are the carbon potential of the power output node and the thermal node of the energy station respectively; r represents the carbon flow conversion coefficient of the energy station.

3. The method for constructing a carbon hub model according to claim 1, characterized in that: in: The carbon emission flow rate conversion efficiency of the energy conversion device is: λ=η·μ Where λ is the carbon emission flow rate conversion efficiency of the energy conversion device, η is the energy conversion efficiency, and μ is the carbon potential conversion efficiency; Considering the case where centralized new energy output equipment is connected to the energy station, the carbon flow rate coupling matrix is: P out ·E out =R·P in ·E in Where, P in and P out are the input and output active power vectors, E in and E out are the input and output carbon potential vectors respectively, and R is the carbon flow rate coupling matrix of the energy station.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method for constructing a carbon hub model according to any one of claims 1 to 3 are implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for constructing a carbon hub model according to any one of claims 1 to 3 are implemented.

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