Multi-energy system dynamic carbon factor calculation method and device based on analytical method

Abstract

The invention provides a multi-energy system dynamic carbon factor calculation method and device based on an analysis method. The invention belongs to the technical field of low-carbon operation and carbon emission metering of an integrated energy system. The method provided by the invention comprises the following steps: respectively calculating the loss of a cogeneration unit and the loss of an electric boiler; the carbon emission responsibility of the output energy flow of the cogeneration unit is obtained, and the carbon emission responsibility of the output energy flow of the electric boiler is obtained; determining the electric energy carbon emission responsibility and the heat energy carbon emission responsibility of the output energy flow of the cogeneration unit; and determining a carbon emission factor of an electric end and a carbon emission factor of a hot end under the influence of wind curtailment and light curtailment of the system, and dynamically adjusting the output of each device in the system by taking the minimization of the total carbon emission of the system as a target. According to the method, loss of a conversion link is accurately metered in an electricity, heat and gas coupling scene, loss carbon emission is reasonably shared according to energy quality difference and each output energy flow proportion, and a dynamic carbon emission factor which can be used for system optimization regulation and control and emission management is generated.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of low-carbon operation and carbon emission measurement of integrated energy systems, and particularly relates to a multi-energy system dynamic carbon factor calculation method and device based on the exergy analysis method. BACKGROUND

[0002] Under the promotion of the dual-carbon target, multi-energy systems will coordinate fossil and renewable energy, achieve efficient and low-carbon operation through energy conversion, and gradually become an important carrier for energy system transformation. However, the diversity of energy types, strong volatility of renewable energy, and complex multi-energy coupling in multi-energy systems make it difficult to realize real-time and accurate accounting and management of carbon emission responsibility.

[0003] To achieve fine management, the core lies in reasonably, comparably and consistently allocating the carbon emissions generated by system operation. The existing technology usually adopts output weighting, efficiency weighting or average of empirical coefficients to simply divide the electricity end and the heat end. The adopted caliber is not uniform among different units in terms of equipment type and operating conditions, which leads to difficulty in aligning the responsibility results in space. On the other hand, how to account for the loss generated by the equipment in the energy conversion process, how to track and allocate it, the existing method lacks consistent rules, and the boundary between the equipment itself and the output to each energy flow end is not clear.

[0004] The above problems make it difficult to achieve comparability and reusability when accounting for the responsibility of multi-energy systems, which may lead to repeated accounting or omission, resulting in result deviation and settlement disputes, causing audit and management disputes, affecting the stability and settlement executability of the accounting results. It is difficult to meet the actual needs of device modification and energy management.

[0005] Therefore, it is necessary to further build a carbon emission responsibility accounting idea and rule system suitable for multi-energy scenarios on the basis of existing research and practice, unify the caliber, boundary and data caliber requirements, and weaken the result deviation caused by the difference in equipment type and operating conditions. The system should be able to support the generation and comparison of object-based responsibility results, facilitate the connection with the existing measurement, settlement and audit processes, and improve the comparability, traceability and executability of the results. Through standardization and processization of key links, it reduces disputes caused by repeated accounting, omission and caliber conflicts, and provides a stable and reliable basis for subsequent management and supervision. SUMMARY

[0006] The purpose of the present application is to provide a multi-energy system dynamic carbon factor calculation method and device based on the exergy analysis method, which accurately measures the conversion link loss in the electricity, heat and gas coupling scenario, and reasonably allocates the loss carbon emission according to the energy quality difference and the proportion of each output energy flow, so as to generate a dynamic carbon emission factor that can be used for system optimization and control and emission management.

[0007] In order to achieve the above object, the present application adopts the following technical solutions: In the first aspect of the present application, a multi-energy system dynamic carbon factor calculation method based on exergy analysis is provided, the energy conversion equipment of the multi-energy system includes a combined heat and power unit and an electric boiler, and the method includes: Obtaining output data of the combined heat and power unit and input exergy, output exergy and output data of the electric boiler; Based on the output data of the combined heat and power unit and the input exergy, output exergy and output data of the electric boiler, the exergy loss of the combined heat and power unit and the exergy loss of the electric boiler are calculated respectively; According to the preset allocation parameters and the exergy loss of the combined heat and power unit, the carbon emission responsibility of the combined heat and power unit is allocated to obtain the carbon emission responsibility of the output energy flow of the combined heat and power unit, and according to the preset allocation parameters and the exergy loss of the electric boiler, the carbon emission responsibility of the electric boiler is allocated to obtain the carbon emission responsibility of the output energy flow of the electric boiler; According to the carbon emission responsibility of the output energy flow of the combined heat and power unit and the exergy values of the output electric energy and thermal energy of the combined heat and power unit, the electric energy carbon emission responsibility and the thermal energy carbon emission responsibility of the output energy flow of the combined heat and power unit are determined; Based on the carbon emission responsibility of the output energy flow of the electric boiler in the target period and the electric energy carbon emission responsibility and the thermal energy carbon emission responsibility of the output energy flow of the combined heat and power unit, the carbon emission factor of the electric end in the target period and the carbon emission factor of the thermal end in the target period of the multi-energy system considering the influence of abandoned wind and light are determined; According to the carbon emission factor of the electric end in the target period and the carbon emission factor of the thermal end in the target period of the multi-energy system considering the influence of abandoned wind and light, the output of each device in the multi-energy system is dynamically adjusted to minimize the total carbon emission of the multi-energy system.

[0008] Further, the step of calculating the exergy loss of the combined heat and power unit and the exergy loss of the electric boiler includes: Determining the exergy value of the input electric energy of the electric boiler And the exergy value of the input natural gas in the combined heat and power unit Respectively:

[0009] Among them, , The energy quality coefficient of electric energy and natural gas is respectively, The input electric power of the electric boiler, The natural gas input power of the combined heat and power unit; The exergy loss of the combined heat and power unit and the electric boiler is calculated according to the following expression:

[0010] Among them, , respectively the exergy loss of the cogeneration unit and the electric boiler, , respectively the exergy values of the electric and thermal energy outputted by the cogeneration unit, the exergy value of the thermal energy outputted by the electric boiler.

[0011] Further, the steps of obtaining the carbon emission responsibility of the output energy flow of the cogeneration unit and the carbon emission responsibility of the output energy flow of the electric boiler comprise: determining the exergy loss carbon emission responsibility allocated to the cogeneration unit and the electric boiler equipment themselves according to the following formula:

[0012] wherein, , respectively the exergy loss carbon emission responsibility allocated to the cogeneration unit and the electric boiler equipment themselves, and respectively the total carbon emission responsibility of the cogeneration unit and the electric boiler, X is a sharing parameter in the interval [0, 1]; determining the carbon emission responsibility of the output energy flow of the cogeneration unit and the electric boiler according to the following formula:

[0013] wherein, and respectively the carbon emission responsibility of the output energy flow of the cogeneration unit and the electric boiler.

[0014] Further, determining the electric energy carbon emission responsibility and the thermal energy carbon emission responsibility of the output energy flow of the cogeneration unit according to the following formula:

[0015] wherein, is the electric energy carbon emission responsibility of the output energy flow of the cogeneration unit, is the thermal energy carbon emission responsibility of the output energy flow of the cogeneration unit, , respectively the exergy values of the electric and thermal energy outputted by the cogeneration unit; determining the carbon emission responsibility sharing proportion of the output energy flow of the electric boiler and the electric energy carbon emission responsibility sharing proportion and the thermal energy carbon emission responsibility sharing proportion of the output energy flow of the cogeneration unit according to the following formula:

[0016] wherein, is the carbon emission responsibility sharing proportion of the output energy flow of the electric boiler, and The carbon emission responsibility allocation ratio of the electric energy and the carbon emission responsibility allocation ratio of the thermal energy of the output energy flow of the combined heat and power unit respectively.

[0017] Further, the energy conversion device of the multi-energy system further comprises: a wind turbine device, a photovoltaic device and a gas turbine, and the method further comprises: determining the output data of each device in the multi-energy system with the minimum cost of the multi-energy system as the optimization target; The step of determining the output data of each device in the multi-energy system comprises: The output of each device in the multi-energy system is determined according to the following formula:

[0018]

[0019]

[0020]

[0021]

[0022]

[0023] wherein, represents the cost of purchasing electricity from the power grid, represents the operation and maintenance cost of the device, represents the fuel cost thereof, is the penalty for abandoned wind and light, is the carbon trading cost, represents the electricity purchasing price of the multi-energy system from the external power grid, represents the operation and maintenance coefficient of the device, is the output of the device, , , , , , represents the operation cost coefficient of the gas turbine and the electric boiler respectively, is the output of the gas turbine, is the output of the electric boiler, represents the abandoned wind and light penalty coefficient, represents the abandoned wind and light amount, is the system carbon quota, is the carbon trading price; The carbon quota is determined according to the following formula :

[0024] wherein, and The quota factor of the thermal power cogeneration unit and the grid electricity purchase, The carbon emissions generated from the grid electricity purchase, The carbon emissions generated from the thermal power cogeneration unit, The grid electricity purchase.

[0025] Further, the step of determining the carbon emission factor of the target period of the electric end and the carbon emission factor of the target period of the heat end of the multi-energy system considering the influence of abandoned wind and light includes: According to the carbon emission responsibility allocation proportion of the output energy flow of the electric boiler, the output carbon emission of the electric boiler is calculated, and according to the electric energy carbon emission responsibility allocation proportion and the thermal energy carbon emission responsibility allocation proportion of the output energy flow of the thermal power cogeneration unit, the electric energy allocation carbon emission and the thermal energy allocation carbon emission of the thermal power cogeneration unit are calculated; According to the output carbon emission of the electric boiler, the electric energy allocation carbon emission and the thermal energy allocation carbon emission of the thermal power cogeneration unit in the target period, the carbon emission factor of the target period of the electric end and the carbon emission factor of the target period of the heat end of the multi-energy system considering the influence of abandoned wind and light are determined; The step of calculating the electric energy allocation carbon emission and the thermal energy allocation carbon emission of the thermal power cogeneration unit includes: The input carbon emission of the thermal power cogeneration unit is calculated according to the following formula:

[0026] Wherein, The input carbon emission of the thermal power cogeneration unit, The natural gas consumption, N is the low heat value of natural gas, C is the unit heat value carbon content of natural gas, and O is the carbon oxidation rate of natural gas; The output carbon emission of the thermal power cogeneration unit is calculated according to the following formula:

[0027] Wherein, The electric energy allocation carbon emission of the thermal power cogeneration unit, The thermal energy allocation carbon emission of the thermal power cogeneration unit; The step of calculating the output carbon emission of the electric boiler includes: The carbon emission factor of the grid of the multi-energy system is calculated according to the following formula :

[0028] Wherein, The equivalent carbon emission factor of the electricity purchase, The grid electricity purchase, The electric load power, The power consumption of the electric boiler; The input and output carbon emissions of the electric boiler are calculated according to the following formula:

[0029] wherein, is the carbon emission of the input of the electric boiler, is the carbon emission of the output of the electric boiler.

[0030] Further, the carbon emission factor of the target period of the electric end and the carbon emission factor of the target period of the thermal end of the multi-energy system considering the influence of abandoned wind and light are determined, comprising: The carbon emission of the multi-energy system from the power grid is calculated according to the following formula :

[0031] wherein, is the power purchase from the power grid, is the carbon emission factor of the power grid; The carbon emission factor of the multi-energy system considering the influence of abandoned wind and light is calculated according to the following formula:

[0032] wherein, is the carbon emission factor of the electric power consumption side in the t period, is the thermal carbon emission factor in the t period, is the abandoned wind and light amount, is the heat production efficiency of the electric boiler, The abandoned wind and light amount is calculated according to the following formula:

[0033] wherein, represents the photovoltaic output power in the t period, is the theoretical maximum photovoltaic power generation power, represents the wind turbine output power in the t period, is the theoretical maximum wind power generation power; The average carbon emission factor of the whole day is calculated according to the following formula:

[0034] wherein, T is the total number of scheduling periods.

[0035] In the second aspect of the present application, a multi-energy system dynamic carbon factor calculation device based on the analysis method is provided, the energy conversion equipment of the multi-energy system includes: a combined heat and power unit and an electric boiler, and the device comprises: A data acquisition module is configured to acquire output data of the combined heat and power unit, input carbon, output carbon and output data of the electric boiler. a heat loss calculation module configured to calculate heat loss of the cogeneration unit and heat loss of the electric boiler based on output data of the cogeneration unit and input heat, output heat and output data of the electric boiler; a first responsibility allocation module configured to allocate carbon emission responsibility of the cogeneration unit according to preset allocation parameters and the heat loss of the cogeneration unit to obtain carbon emission responsibility of output energy flow of the cogeneration unit, and allocate carbon emission responsibility of the electric boiler according to preset allocation parameters and the heat loss of the electric boiler to obtain carbon emission responsibility of output energy flow of the electric boiler; a second responsibility allocation module configured to determine electric energy carbon emission responsibility and heat energy carbon emission responsibility of the output energy flow of the cogeneration unit according to the carbon emission responsibility of the output energy flow of the cogeneration unit and heat values of the electric energy and the heat energy output by the cogeneration unit; a carbon emission factor calculation module configured to determine carbon emission factor of the electric end and carbon emission factor of the heat end of the target period of the multi-energy system considering the influence of abandoned wind and abandoned light based on the carbon emission responsibility of the output energy flow of the electric boiler of the target period and the electric energy carbon emission responsibility and the heat energy carbon emission responsibility of the output energy flow of the cogeneration unit of the target period; an output control module configured to dynamically adjust output of each device in the multi-energy system according to the carbon emission factor of the electric end and the carbon emission factor of the heat end of the target period of the multi-energy system considering the influence of abandoned wind and abandoned light, with the goal of minimizing total carbon emission of the multi-energy system.

[0036] In a third aspect, the present application provides an electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the multi-energy system dynamic carbon factor calculation method based on the heat analysis method.

[0037] In a fourth aspect, the present application provides a computer readable storage medium storing at least one instruction, the at least one instruction being executed by a processor to implement the multi-energy system dynamic carbon factor calculation method based on the heat analysis method.

[0038] Compared with the prior art, the present application has the following advantages: The multi-energy system dynamic carbon factor calculation device, electronic device and computer readable storage medium based on the heat analysis method provided by the present application also solve the problems proposed in the background section.

[0039] 1. The application breaks through the limitations of traditional carbon emission measurement and allocation, quantifies energy conversion loss from the energy quantity and quality dimensions by means of exergy analysis, accurately calculates the exergy loss of CHP unit and EB according to the fixed energy quality coefficient, and avoids measurement deviation caused by ignoring the difference in energy quality. At the same time, the traditional efficiency method is abandoned to average allocate the carbon emissions of electric energy and thermal energy of CHP unit, the responsibility is accurately divided based on the exergy value ratio, and the exergy loss carbon emission responsibility is flexibly allocated through the adjustable parameter X in the interval [0, 1], which not only adapts to different needs of equipment upgrading and user side emission reduction, but also clearly defines the actual proportion of carbon emissions of electric energy and thermal energy of EB and CHP unit, ensures that the carbon emission responsibility matches the actual utilization value and loss of energy, and clarifies the responsibility boundary of each subject, providing clear basis for the implementation of emission reduction measures.

[0040] 2. According to the characteristics of multiple energy types and strong volatility of renewable energy in multi-energy system, the application constructs a dynamic carbon emission factor calculation system. Not only the direct carbon emission of CHP burning natural gas (calculated by combining natural gas consumption, low heat value and other parameters) and the indirect carbon emission of grid electricity purchase (calculated by regional grid carbon emission factor and electricity purchase quantity) are considered, but also the output characteristics of wind turbine and photovoltaic are combined to adjust the carbon emission measurement logic in real time. Compared with the traditional static factor, it can more accurately reflect the carbon emission intensity under different time periods and different energy supply structures, especially in the scene of high proportion of renewable energy access, which can dynamically adapt to the changes of energy supply and demand and provide accurate data support for system low-carbon operation and dispatch.

[0041] 3. The application innovatively introduces the equivalent carbon emission reduction mechanism of wind and light consumption, aiming at the phenomenon of abandoned wind and light (the amount of abandoned wind and light is calculated according to the output power of equipment, load and dispatch period) when the output of wind turbine and photovoltaic is high. Through dynamic carbon emission factor, the user is guided to transfer the electricity and heat demand to the abandoned wind and light period, and it is clear that the new heat load in this period is supplied by EB, which not only improves the utilization rate of renewable energy, but also reduces the carbon emission in other high-carbon period. This design deeply combines carbon emission measurement and renewable energy consumption demand, breaks through the limitations of traditional technology that cannot guide consumption, provides a feasible technical path for multi-energy system to achieve the goal of "carbon peak and carbon neutral", and has environmental protection value and practical significance. BRIEF DESCRIPTION OF DRAWINGS

[0042] The drawings accompanying the specification of this application serve to provide a further understanding of the application, the illustrative embodiments of the application and their descriptions serve to explain the application, and do not constitute an improper limitation on the application. In the drawings: Figure 1 The flow chart of the multi-energy system dynamic carbon factor calculation method based on exergy analysis method of the embodiments of the application.

[0043] Figure 2An implementation flowchart of a multi-energy system dynamic carbon factor calculation method based on the exergy analysis method according to an embodiment of the present application.

[0044] Figure 3 An implementation flowchart of a multi-energy system dynamic carbon factor calculation method based on the exergy analysis method according to an embodiment of the present application.

[0045] Figure 4 A structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0047] The following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise defined, all technical terms used in the present application have the same meanings as generally understood by those skilled in the art to which the present application belongs. The terms used in the present application are only for the purpose of describing the specific embodiments according to the present application, and are not intended to limit the exemplary embodiments according to the present application.

[0048] Embodiment 1 The embodiment of the present application provides a multi-energy system dynamic carbon factor calculation method based on the exergy analysis method. The method is applied to an electricity-heat-gas multi-energy system. In the multi-energy system, the integrated energy system purchases electricity and natural gas from the upper energy network, and integrates its own wind turbine (WT), photovoltaic (PV), combined heat and power generation (CHP), gas turbine (GT) and electric boiler (EB) and other equipment to meet the energy demand of residents. On the energy demand side, residents consume the electricity and heat energy produced on the energy supply side to meet the energy demand.

[0049] The electricity-heat-gas multi-energy system is an energy supply system coupled by an energy conversion device. The energy conversion device converts a certain form of energy into other forms of energy, mainly including gas turbine units, combined heat and power generation units, electric boilers, gas boilers and the like.

[0050] As shown in Figure 1 and Figure 2 The multi-energy system dynamic carbon factor calculation method based on the exergy analysis method includes: Step S1, obtain the output data of the cogeneration unit and the input, output and output data of the electric boiler. First, construct a model of each device in the multi-energy park, including the cogeneration unit and the electric boiler. The cogeneration unit is an important element of coupling electric energy and thermal energy, and its operating characteristics are:

[0051] wherein, and are the electric and thermal efficiencies of the cogeneration unit, and are the electric and thermal power outputs of the cogeneration unit, is the natural gas input power of the cogeneration unit, , , and are the output and ramp rate constraints of the cogeneration unit.

[0052] The operating characteristics of the electric boiler are:

[0053] wherein, and are the output thermal power and input electric power of the electric boiler, and are the input electric power constraints of the electric boiler.

[0054] Step S2, based on the output data of the cogeneration unit and the input, output and output data of the electric boiler, respectively calculate the exergy loss of the cogeneration unit and the exergy loss of the electric boiler.

[0055] Exergy analysis is a tool for in-depth analysis of exergy transfer, conversion and utilization in devices from the perspectives of quantity and quality of energy. Exergy, also known as available energy or useful energy, refers to the energy that can theoretically be converted into useful work at a certain state, which reflects the potential degree of availability of energy in practical applications. In the energy conversion process, the exergy loss of the cogeneration unit mainly comes from combustion irreversibility loss, irreversibility loss when thermal energy is converted into mechanical energy and then into electric energy, and loss in high-temperature exhaust gas. The exergy loss of the electric boiler mainly comes from the loss in the process of converting electric energy into thermal energy and the loss in the heat transfer process. By calculating the distribution of exergy in the input and output energy flow of the cogeneration unit and the electric boiler, the exergy loss generated in the energy conversion process is obtained.

[0056] The exergy value of the electric energy input to the electric boiler and the exergy value of the natural gas input to the cogeneration unit are respectively:

[0057] wherein, , are the energy quality coefficients of electricity and natural gas, respectively, is the input electric power of the electric boiler, is the input natural gas power of the cogeneration unit.

[0058] The exergy losses of the cogeneration unit and the electric boiler are calculated according to the following expression:

[0059] wherein, , are the exergy losses of the cogeneration unit and the electric boiler, respectively, , are the exergy values contained in the electric and thermal energy outputs of the cogeneration unit, respectively, is the exergy value contained in the thermal energy output of the electric boiler.

[0060] Step S3, according to the preset allocation parameter and the exergy loss of the cogeneration unit, the carbon emission responsibility of the cogeneration unit is allocated, and the carbon emission responsibility of the output energy flow of the cogeneration unit is obtained; according to the preset allocation parameter and the exergy loss of the electric boiler, the carbon emission responsibility of the electric boiler is allocated, and the carbon emission responsibility of the output energy flow of the electric boiler is obtained.

[0061] A preset adjustable allocation parameter X in the interval [0, 1] is introduced, and the exergy loss carbon emission responsibility of the cogeneration unit and the electric boiler is allocated to the equipment itself and its output energy flow, the X part of the exergy loss carbon emission responsibility is allocated to the equipment itself, and the 1-X part of the remaining exergy loss carbon emission responsibility is allocated to the output energy flow of the equipment. The value of X can be determined by the load side, the attribution subject of the energy conversion equipment, and common consultation.

[0062] The exergy loss carbon emission responsibility allocated to the cogeneration unit and the electric boiler itself is determined according to the following formula:

[0063] wherein, , are the exergy loss carbon emission responsibilities allocated to the cogeneration unit and the electric boiler, respectively, and are the total carbon emission responsibilities of the cogeneration unit and the electric boiler, respectively.

[0064] The carbon emission responsibility of the output energy flow of the cogeneration unit and the electric boiler is determined according to the following formula:

[0065] wherein, and are the carbon emission responsibilities of the output energy flow of the cogeneration unit and the electric boiler, respectively.

[0066] The value of the adjustable parameter X does not affect the carbon emission corresponding to the energy conversion device's loss, but can affect the distribution of this part of the carbon emission responsibility between the device itself and its output energy flow. A larger value of X can make the device bear more of the loss carbon emission responsibility, in order to encourage it to upgrade. Conversely, the output end bears more of the loss carbon emission responsibility, in order to tap the user side emission reduction potential.

[0067] Step S4, according to the carbon emission responsibility of the output energy flow of the combined heat and power unit and the exergy values of the output electric energy and thermal energy of the combined heat and power unit, the carbon emission responsibility of the output electric energy and the carbon emission responsibility of the output thermal energy of the combined heat and power unit are determined.

[0068] Considering that thermal energy is a byproduct of electric energy in a combined heat and power unit, the traditional efficiency method averages the total carbon emission between the output thermal energy and electric energy, which underestimates the carbon emission responsibility of the output electric energy. Therefore, this paper proposes an exergy-based allocation method that takes into account both the quality and quantity of the output energy flow, i.e., based on the relative proportion of the exergy values of different types of output energy to allocate carbon emissions. According to the exergy allocation method, based on the proportion of the exergy values of the output electric energy and thermal energy of the combined heat and power unit, the carbon emission corresponding to the output energy flow is allocated between the generated electric energy and thermal energy.

[0069] The carbon emission responsibility of the output electric energy and the carbon emission responsibility of the output thermal energy of the combined heat and power unit are determined according to the following formula:

[0070] wherein, is the carbon emission responsibility of the output electric energy of the combined heat and power unit, is the carbon emission responsibility of the output thermal energy of the combined heat and power unit, , are the exergy values of the output electric energy and thermal energy of the combined heat and power unit, respectively.

[0071] Step S5, based on the carbon emission responsibility of the output energy flow of the electric boiler and the carbon emission responsibility of the output electric energy and the carbon emission responsibility of the output thermal energy of the combined heat and power unit, the carbon emission factor of the electric end of the target period and the carbon emission factor of the thermal end of the target period of the multi-energy system considering the impact of curtailment of wind and light are determined.

[0072] The carbon emission responsibility allocation proportion of the output energy flow of the electric boiler is determined according to the carbon emission responsibility of the output energy flow of the electric boiler, and the carbon emission responsibility allocation proportion of the output electric energy and the carbon emission responsibility allocation proportion of the output thermal energy of the combined heat and power unit are determined according to the carbon emission responsibility of the output electric energy and the carbon emission responsibility of the output thermal energy of the combined heat and power unit.

[0073]

[0074] wherein, is the carbon emission responsibility apportionment ratio of the output energy flow of the electric boiler, and are the carbon emission responsibility apportionment ratio of the output energy flow of the electric boiler and the carbon emission responsibility apportionment ratio of the output energy flow of the combined heat and power unit, respectively.

[0075] The present application breaks through the limitations of traditional carbon emission measurement and apportionment, quantifies energy conversion loss from the energy quantity and quality dimensions by means of exergy analysis, accurately calculates the exergy loss of the CHP unit and the EB according to the fixed energy quality coefficient, and avoids the measurement deviation caused by ignoring the energy quality difference. At the same time, the traditional efficiency method is abandoned for the average apportionment of the carbon emissions of the electric energy and the thermal energy of the CHP unit, the responsibility is accurately divided based on the exergy value ratio, and the carbon emission responsibility of the exergy loss is flexibly allocated through the adjustable parameter X in the interval [0, 1], which not only adapts to different needs of equipment upgrading and user-side emission reduction, but also clearly defines the actual proportion of the carbon emissions of the electric energy and the thermal energy of the EB and the CHP unit, ensures that the carbon emission responsibility matches the actual utilization value and loss of energy, and clarifies the responsibility boundaries of each subject, providing a clear basis for the implementation of emission reduction measures.

[0076] The multi-energy system dynamic carbon factor calculation method based on exergy analysis provided by the embodiment of the present application further comprises: performing economic dispatching on the multi-energy system to obtain the output of each device.

[0077] The economic optimization target of the multi-energy system comprising the combined heat and power unit and the electric boiler is to minimize the cost, wherein the cost includes the cost of purchasing electricity and fuel from the outside, the operation and maintenance cost of the device, the cost of abandoned wind and light, and the cost of carbon trading. The objective function formula is as follows:

[0078] The calculation formulas are as follows:

[0079]

[0080]

[0081]

[0082]

[0083] wherein, represents the cost of purchasing electricity from the power grid, represents the operation and maintenance cost of the device, represents the fuel cost thereof, is the penalty for abandoned wind and light, is the carbon trading cost, represents the electricity purchase price of the multi-energy system to the external power grid, represents the equipment operation and maintenance coefficient, represents the gas turbine output, represents the electric boiler output, represents the equipment output, , , , , , represents the gas turbine and electric boiler operation cost coefficient, represents the wind and light abandonment penalty coefficient, represents the wind and light abandonment amount, represents the system carbon quota, represents the carbon trading price.

[0084] The system participates in the external carbon quota trading market, represents the system quota, represents the carbon trading price. The carbon quota only considers the use of combined heat and power units and gas turbines and the purchase of electricity from the external power grid, and is determined according to the following formula :

[0085] wherein, and are the quota coefficients of the combined heat and power unit and the grid electricity purchase, is the carbon emission amount generated from the grid electricity purchase, is the carbon emission amount generated from the combined heat and power unit, is the grid electricity purchase amount.

[0086] The energy carbon emission includes direct carbon emission generated by the combined heat and power unit burning natural gas, indirect carbon emission of the external power grid input power and indirect carbon emission of the electric boiler consuming power, In step S5, the combined heat and power unit input and output carbon emission is determined based on the electricity carbon emission responsibility allocation proportion of the output energy flow of the combined heat and power unit and the thermal energy carbon emission responsibility allocation proportion. The combined heat and power unit uses natural gas as fuel, and the combined heat and power unit input carbon emission is calculated according to the following formula:

[0087] wherein, is the combined heat and power unit input carbon emission amount, is the natural gas consumption, N is the low heat value of natural gas, C is the unit heat value carbon content of natural gas, and O is the carbon oxidation rate of natural gas.

[0088] The combined heat and power unit output carbon emission is calculated according to the following formula:

[0089] in, To offset carbon emissions from the electricity generated by combined heat and power (CHP) units, Carbon emissions are distributed to the thermal energy of combined heat and power units.

[0090] In this embodiment of the invention, the input and output carbon emissions of the electric boiler are calculated based on the carbon emission responsibility sharing ratio of the output energy flow of the electric boiler.

[0091] Calculate the carbon emission factor of a multi-energy system power grid using the following formula. :

[0092] in, The equivalent carbon emission factor for purchasing electricity, In order to purchase electricity from the power grid, For electrical load power, This refers to the power consumption of the electric boiler.

[0093] Calculate the input and output carbon emissions of an electric boiler using the following formula:

[0094] in, This contributes carbon emissions to electric boilers. Carbon emissions from electric boilers.

[0095] In this embodiment of the invention, a calculation process for user carbon emissions of multi-energy systems that takes into account wind and solar curtailment is also provided. The real-time carbon emission factors of the power grid and heating network at different times are calculated by combining the power grid purchase, CHP output, and wind and solar curtailment.

[0096] Energy systems generate indirect carbon emissions from purchasing electricity from the grid. The carbon emissions from multiple energy systems purchasing electricity from the grid are calculated using the following formula. :

[0097] in, In order to purchase electricity from the power grid, The carbon emission factor of the power grid. The wind turbine and photovoltaic do not consider the life cycle carbon emission, only consider the energy production process, and the carbon emission is 0. In addition, when the output of wind turbine and photovoltaic is high, the phenomenon of wind and light abandonment may occur. In order to guide users to carry out renewable energy consumption, the equivalent carbon emission reduction of wind and light consumption is introduced in the calculation of carbon emission. The user transfers the electricity demand at other times to the time when there is wind and light abandonment, and carries out wind and light consumption. It is considered that the consumption behavior reduces the carbon emission at other times, that is, the equivalent carbon emission of consumption is calculated by the average carbon emission factor of the whole day and the amount of wind and light abandonment. At the same time, the user increases the heat load in the wind and light abandonment period, in order to promote consumption, and this part of heat load is supplied by electric boiler.

[0098] The carbon emission factor of the multi-energy system considering the influence of wind and light abandonment is calculated according to the following formula:

[0099] Among them, is the carbon emission factor of the power consumption side in t period, is the heat carbon emission factor in t period, is the amount of wind and light abandonment, is the heat production efficiency of the electric boiler, The amount of wind and light abandonment is calculated according to the following formula:

[0100] Among them, represents the output power of photovoltaic in t period, is the theoretical maximum photovoltaic power generation, represents the output power of wind turbine in t period, is the theoretical maximum wind power generation.

[0101] The average carbon emission factor of the whole day is calculated according to the following formula:

[0102] Wherein, T is the total number of scheduling periods.

[0103] The user carbon emission of the multi-energy system considering the influence of wind and light abandonment is calculated according to the following formula:

[0104] Step S6, according to the carbon emission factor of the target period of the electric end and the carbon emission factor of the target period of the heat end of the multi-energy system considering the influence of wind and light abandonment, the output of each device in the multi-energy system is dynamically adjusted to minimize the total carbon emission of the multi-energy system.

[0105] In the embodiment of the application, the output of each device in the multi-energy system is dynamically adjusted by the following collaborative optimization model: In the collaborative optimization model, the objective function takes the minimization of user-side carbon emissions as the optimization goal, and the expression is as follows:

[0106] wherein, is the output of the thermal power unit at the target time period of the electric end, is the output of the thermal power unit at the target time period of the thermal end, is the output of the electric boiler at the target time period.

[0107] In the collaborative optimization model, the constraint condition takes the calculated real-time carbon emission factor of the electric end and the real-time carbon emission factor of the thermal end as the quantification basis, so as to realize the minimization of user-side carbon emissions on the premise of the minimum economic cost of the equipment basic output, while limiting the economic cost increment ΔC≤Cmax, Cmax is a preset economic adjustment threshold, and the value range is 3%-5%, which is set by the system operation party according to the actual demand. The constraint conditions include: Economic cost constraint:

[0108] wherein, is the total economic cost of the multi-energy system after optimization, is the economic optimal cost of the multi-energy system before optimization provided in the above steps of the embodiment, is calculated in the same way as , that is, .

[0109] Equipment output constraint:

[0110] wherein, and are the output constraints of the electric end of the thermal power unit, and are the output constraints of the electric boiler.

[0111] Carbon emission constraint:

[0112] wherein, is a user preset carbon emission threshold.

[0113] Supply and demand balance constraint: satisfy the electric load balance:

[0114] wherein, is the electric load demand at the target time period t.

[0115] satisfy the heat load balance:

[0116] wherein, is the heat load demand of the target period t.

[0117] In step S6, the above-mentioned collaborative optimization model is solved by using a linear programming algorithm to obtain the target output of each device after adjustment, and the optimized device output command is issued to the control system of the combined heat and power unit, electric boiler, gas turbine and other devices to synchronously coordinate the power grid power purchase and the output distribution of wind power and photovoltaic. At the same time, the adjusted data operation data (device output, electric / heat load, abandoned wind and light amount) are continuously collected, the loss calculation and carbon emission responsibility allocation process in the above-mentioned steps of the present application are repeatedly executed, and the electric end / heat end carbon factor of the t+1 period is updated. When the real-time carbon factor exceeds the preset high carbon threshold, or it is predicted that the user side carbon emission will break through E0, an alarm signal is triggered: a high carbon alarm is pushed to the dispatch center, prompting to preferentially reduce the gas turbine output and increase the wind power / photovoltaic consumption, and a low-carbon energy use suggestion is pushed to the user side, such as guiding the heat load to be transferred to the abandoned wind and light period.

[0118] In view of the characteristics of multiple energy types and strong volatility of renewable energy of the multi-energy system, the present application scheme constructs a dynamic carbon emission factor calculation system. Not only the direct carbon emission of CHP combustion of natural gas (calculated in combination with parameters such as natural gas consumption and low heat value) and the indirect carbon emission of power grid power purchase (calculated through the regional power grid carbon emission factor and the power purchase amount) are considered, but also the carbon emission metering logic is adjusted in real time in combination with the output characteristics of wind turbines and photovoltaics. Compared with the traditional static factor, the carbon emission intensity in different periods and under different energy supply structures can be more accurately reflected, especially in the high-proportion renewable energy access scene, the energy supply and demand changes can be dynamically adapted, and accurate data support is provided for system low-carbon operation and dispatch.

[0119] At the same time, the present application scheme innovatively introduces a wind and light consumption equivalent carbon emission reduction mechanism, aiming at the abandoned wind and light phenomenon (abandoned wind and light amount is calculated according to device output power, load and dispatch period) when the output of wind turbines and photovoltaics is high, guiding users to transfer the electricity and heat demand to the abandoned wind and light period through the dynamic carbon emission factor, and clearly indicating that the newly added heat load in this period is supplied by EB, which not only improves the utilization rate of renewable energy, but also reduces the carbon emission in other high-carbon periods. This design deeply combines carbon emission metering and renewable energy consumption demand, breaks through the limitation that traditional technology cannot guide consumption, provides a feasible technical path for the multi-energy system to achieve the goal of "carbon peak and carbon neutral", and has environmental protection value and practical significance.

[0120] Embodiment 2 As Figure 3As shown, based on the same inventive concept as the above embodiments, the present invention also provides a dynamic carbon factor calculation device for multi-energy systems based on the tandem analysis method. The energy conversion equipment of the multi-energy system includes: a combined heat and power unit and an electric boiler. The device includes: The data acquisition module is used to acquire the output data of the cogeneration unit and the input, output, and output data of the electric boiler.

[0121] The loss calculation module is used to calculate the loss of the cogeneration unit and the loss of the electric boiler based on the output data of the cogeneration unit and the input loss, output loss and output data of the electric boiler.

[0122] The first responsibility allocation module is used to allocate the carbon emission responsibility of the cogeneration unit according to the preset allocation parameters and the loss of the cogeneration unit, and to obtain the carbon emission responsibility of the output energy flow of the cogeneration unit. It also allocates the carbon emission responsibility of the electric boiler according to the preset allocation parameters and the loss of the electric boiler, and to obtain the carbon emission responsibility of the output energy flow of the electric boiler.

[0123] The second responsibility allocation module is used to determine the carbon emission responsibility for the electrical energy and the carbon emission responsibility for the thermal energy of the output energy flow of the cogeneration unit based on the carbon emission responsibility of the output energy flow and the carbon emission value of the output electrical energy and thermal energy of the cogeneration unit.

[0124] The carbon emission factor calculation module is used to determine the carbon emission factors for the target time period of the electric boiler's output energy flow and the electrical and thermal energy output energy flow of the combined heat and power unit, taking into account the impact of wind and solar curtailment.

[0125] The output control module is used to dynamically adjust the output of each device in the multi-energy system based on the carbon emission factors of the target time period at the power end and the target time period at the heat end under the influence of wind and solar curtailment, with the goal of minimizing the total carbon emissions of the multi-energy system.

[0126] Example 3 like Figure 4 As shown, the present invention also provides an electronic device 100 for implementing a method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method; The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0127] The memory 101 can be used to store the computer program 103, and the processor 102 can realize the multi-energy system dynamic carbon factor calculation method based on the exergy analysis method of embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0128] The memory 101 can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.), and the like. The data storage area can store data (such as audio data) created according to the use of the electronic device 100. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash storage device, or other non-volatile solid-state storage device.

[0129] The at least one processor 102 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 102 can be a microprocessor or can also be any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and connects all parts of the electronic device 100 through various interfaces and lines.

[0130] The memory 101 in the electronic device 100 stores a plurality of instructions to realize a multi-energy system dynamic carbon factor calculation method based on the exergy analysis method, and the processor 102 can execute the plurality of instructions to realize: Obtain the output data of the combined heat and power unit and the input exergy, output exergy and output data of the electric boiler; Based on the output data of the combined heat and power unit and the input exergy, output exergy and output data of the electric boiler, the exergy loss of the combined heat and power unit and the exergy loss of the electric boiler are calculated respectively; According to the preset allocation parameter and the exergy loss of the combined heat and power unit, the carbon emission responsibility of the combined heat and power unit is allocated, and the carbon emission responsibility of the output energy flow of the combined heat and power unit is obtained; according to the preset allocation parameter and the exergy loss of the electric boiler, the carbon emission responsibility of the electric boiler is allocated, and the carbon emission responsibility of the output energy flow of the electric boiler is obtained; According to the carbon emission responsibility of the output energy flow of the combined heat and power unit and the exergy values of the electric energy and the heat energy output by the combined heat and power unit, the electric energy carbon emission responsibility and the heat energy carbon emission responsibility of the output energy flow of the combined heat and power unit are determined; Based on the carbon emission responsibility of the output energy flow of the electric boiler in the target period and the electric energy carbon emission responsibility and the heat energy carbon emission responsibility of the output energy flow of the combined heat and power unit, the carbon emission factor of the electric end in the target period and the carbon emission factor of the heat end in the target period of the multi-energy system considering the influence of abandoned wind and abandoned light are determined; According to the carbon emission factor of the electric end in the target period and the carbon emission factor of the heat end in the target period of the multi-energy system considering the influence of abandoned wind and abandoned light, the output of each device in the multi-energy system is dynamically adjusted to minimize the total carbon emission of the multi-energy system.

[0131] Embodiment 4 The modules / units integrated by the electronic device 100, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the processor executes the computer program, the steps of each method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms. The computer readable medium can include any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, and read-only memory (ROM).

[0132] Those skilled in the art will appreciate that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented 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.

[0133] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks.

[0134] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks.

[0135] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks. Figure 1 one or more flow or flows and / or block diagram block or blocks.

[0136] In the description of the specification, the description of the terms "one embodiment", "an example", "some examples", and the like refers to specific features, structures, materials, or characteristics that are contained in at least one embodiment or example of the present application. In the specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Also, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in an appropriate manner.

[0137] Finally, it should be noted that the above embodiments are merely intended for describing the technical solutions of the present application but not to limit the present application. Although the present application is described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation ways of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. A method for calculating the dynamic carbon factor of a multi-energy system based on carbon analysis, characterized in that, The energy conversion equipment of the multi-energy system includes: a combined heat and power unit and an electric boiler, and the method includes: Acquire the output data of the combined heat and power unit and the input, output, and output data of the electric boiler; Based on the output data of the cogeneration unit and the input loss, output loss and output data of the electric boiler, the loss of the cogeneration unit and the loss of the electric boiler are calculated respectively. The carbon emission responsibility of the cogeneration unit is allocated according to the preset allocation parameters and the loss of the cogeneration unit to obtain the carbon emission responsibility of the output energy flow of the cogeneration unit. The carbon emission responsibility of the electric boiler is allocated according to the preset allocation parameters and the loss of the electric boiler to obtain the carbon emission responsibility of the output energy flow of the electric boiler. Based on the carbon emission responsibility of the output energy flow of the cogeneration unit and the carbon emission values ​​of the output electrical and thermal energy of the cogeneration unit, determine the carbon emission responsibility of the electrical energy and the carbon emission responsibility of the output energy flow of the cogeneration unit. Based on the carbon emission responsibility of the output energy flow of the electric boiler during the target period and the carbon emission responsibility of the output energy flow of the combined heat and power unit for electricity and heat, the carbon emission factors of the electric end and the carbon emission factors of the thermal end of the multi-energy system during the target period are determined, taking into account the impact of wind and solar curtailment. Based on the carbon emission factors of the target time period at the power end and the target time period at the heat end of the multi-energy system under the influence of wind and solar curtailment, the output of each device in the multi-energy system is dynamically adjusted with the goal of minimizing the total carbon emissions of the multi-energy system.

2. The method for calculating the dynamic carbon factor of a multi-energy system based on carbon analysis according to claim 1, characterized in that, The steps for calculating the losses of the combined heat and power unit and the electric boiler include: Determine the value of the electrical energy input to the electric boiler. The saturation value of natural gas input into the combined heat and power unit They are respectively: in, , These are the energy quality coefficients of electricity and natural gas, respectively. This refers to the input electrical power of the electric boiler. For natural gas input power of combined heat and power units; Calculate the losses of the combined heat and power unit and the electric boiler using the following expression: in, , These are losses from combined heat and power units and electric boilers, respectively. , These are the energy values ​​contained in the electrical and thermal energy output of the combined heat and power unit, respectively. This refers to the heat energy contained in the output heat energy of an electric boiler.

3. The method for calculating the dynamic carbon factor of a multi-energy system based on the carbon-carbon analysis method according to claim 2, characterized in that, The steps for obtaining the carbon emission responsibility for the output energy flow of the combined heat and power unit and the carbon emission responsibility for the output energy flow of the electric boiler include: The carbon emission liability allocated to cogeneration units and electric boiler equipment is determined according to the following formula: in, , The carbon emission responsibility for losses is allocated to the combined heat and power units and electric boiler equipment themselves. and These represent the total carbon emission responsibility of the combined heat and power unit and the electric boiler, respectively, with X being the allocation parameter within the interval [0, 1]. The carbon emission responsibility for the output energy flow of combined heat and power units and electric boilers is determined according to the following formula: in, and They are responsible for the carbon emissions from the output energy flow of combined heat and power units and electric boilers, respectively.

4. The method for calculating the dynamic carbon factor of a multi-energy system based on the carbon-carbon analysis method according to claim 3, characterized in that, The carbon emission responsibility for electricity and the carbon emission responsibility for heat of a combined heat and power (CHP) unit's output energy flow are determined according to the following formula: in, Responsibility for the carbon emissions of electricity generated by the output energy flow of combined heat and power units. Responsibility for carbon emissions from the thermal energy of the output energy flow of combined heat and power units. , These are the values ​​of electrical energy and thermal energy output from the combined heat and power unit, respectively. The carbon emission responsibility allocation ratio for the output energy flow of electric boilers, and the carbon emission responsibility allocation ratio for the output energy flow of combined heat and power units (CHP) based on the following formulas are determined: in, The carbon emission responsibility allocation ratio for the output energy flow of electric boilers. and These are the carbon emission responsibility sharing ratios for electrical energy and thermal energy of the output energy flow of combined heat and power units, respectively.

5. The method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method according to claim 4, characterized in that, The energy conversion equipment of the multi-energy system also includes: wind turbine equipment, photovoltaic equipment and gas turbine. The method further includes: determining the output data of each device in the multi-energy system with the goal of minimizing the cost of the multi-energy system. The steps for determining the output data of each device in a multi-energy system include: The output of each device in a multi-energy system is determined using the following formula: in, This indicates the cost of purchasing electricity from the grid. This indicates the cost of equipment operation and maintenance. Indicates its fuel cost, As punishment for abandoning wind and light, For carbon trading costs, This indicates the price at which a multi-energy system purchases electricity from an external power grid. Indicates the equipment operation and maintenance coefficient. To contribute to the equipment, , , , , , These represent the operating cost coefficients for gas turbines and electric boilers, respectively. To provide power to the gas turbine, To provide power for the electric boiler, This represents the penalty coefficient for wind and solar power curtailment. This indicates the amount of wind and solar power curtailed. For the system's carbon quota, For carbon trading prices; Carbon quotas are determined using the following formula. : in, and These are the quota coefficients for combined heat and power (CHP) units and electricity purchased from the grid, respectively. Carbon emissions from purchasing electricity from the grid, Carbon emissions from combined heat and power (CHP) units, To purchase electricity from the power grid.

6. The method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method according to claim 5, characterized in that, The steps for determining the carbon emission factors of the target time period at the power end and the target time period at the thermal end of the multi-energy system, considering the impact of wind and solar curtailment, include: The output carbon emissions of the electric boiler are calculated based on the carbon emission responsibility allocation ratio of the output energy flow of the electric boiler. The carbon emission responsibility allocation ratios of the electrical energy and thermal energy of the cogeneration unit are calculated based on the electrical energy carbon emission responsibility allocation ratios of the output energy flow of the cogeneration unit. Based on the output carbon emissions of electric boilers, the carbon emissions allocated to electricity and heat of cogeneration units during the target period, the carbon emission factors of the electric end and the carbon emission factors of the heat end of the multi-energy system under the influence of wind and solar curtailment during the target period are determined. The steps for calculating the carbon emissions allocated to electricity and heat of a combined heat and power (CHP) unit include: Calculate the input carbon emissions of a combined heat and power (CHP) unit using the following formula: in, Input carbon emissions into combined heat and power units Where N is the lower heating value of natural gas, C is the carbon content per unit calorific value of natural gas, and O is the carbon oxidation rate of natural gas. Calculate the carbon emissions output of a combined heat and power (CHP) unit using the following formula: in, To offset carbon emissions from the electricity generated by combined heat and power (CHP) units, Carbon emissions are distributed to the thermal energy of combined heat and power units; The steps for calculating the output carbon emissions of the electric boiler include: Calculate the carbon emission factor of a multi-energy system power grid using the following formula. : in, The equivalent carbon emission factor for purchasing electricity, In order to purchase electricity from the power grid, For electrical load power, The power consumption of the electric boiler; Calculate the input and output carbon emissions of an electric boiler using the following formula: in, This contributes carbon emissions to electric boilers. Carbon emissions from electric boilers.

7. The method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method according to claim 6, characterized in that, The determination of the carbon emission factors for the target time period at the power end and the target time period at the thermal end of the multi-energy system, considering the impact of wind and solar curtailment, includes: Calculate the carbon emissions generated by a multi-energy system purchasing electricity from the grid using the following formula. : in, In order to purchase electricity from the power grid, Carbon emission factor of power grid; The carbon emission factor of a multi-energy system that takes into account the impact of wind and solar curtailment is calculated using the following formula: in, The carbon emission factor on the electricity consumption side during period t. The thermal carbon emission factor for time period t. To account for the amount of wind and solar power curtailed, For the heat production efficiency of electric boilers, The amount of wind and solar power curtailment is calculated using the following formula: in, This represents the photovoltaic output power during time period t. It is the theoretical maximum photovoltaic power generation capacity. This represents the output power of the wind turbine during time period t. It is the theoretical maximum wind power generation capacity; Calculate the daily average carbon emission factor using the following formula: Where T represents the total number of scheduling periods.

8. A dynamic carbon factor calculation device for multi-energy systems based on carbon analysis, characterized in that, The energy conversion equipment of the multi-energy system includes: a combined heat and power unit and an electric boiler, and the device includes: The data acquisition module is used to acquire the output data of the cogeneration unit and the input, output and output data of the electric boiler; The loss calculation module is used to calculate the loss of the cogeneration unit and the loss of the electric boiler based on the output data of the cogeneration unit and the input loss, output loss and output data of the electric boiler. The first responsibility allocation module is used to allocate the carbon emission responsibility of the cogeneration unit according to the preset allocation parameters and the loss of the cogeneration unit, and to obtain the carbon emission responsibility of the output energy flow of the cogeneration unit. It also allocates the carbon emission responsibility of the electric boiler according to the preset allocation parameters and the loss of the electric boiler, and to obtain the carbon emission responsibility of the output energy flow of the electric boiler. The second responsibility allocation module is used to determine the carbon emission responsibility of the output energy flow of the cogeneration unit and the carbon emission responsibility of the output energy flow of the cogeneration unit based on the carbon emission responsibility of the output energy flow and the carbon emission value of the output electrical energy and thermal energy of the cogeneration unit. The carbon emission factor calculation module is used to determine the carbon emission factor of the electric end and the carbon emission factor of the thermal end of the multi-energy system under the influence of wind and solar curtailment during the target period, based on the carbon emission responsibility of the output energy flow of the electric boiler and the carbon emission responsibility of the output energy flow of the cogeneration unit during the target period. The output control module is used to dynamically adjust the output of each device in the multi-energy system based on the carbon emission factors of the target time period at the power end and the target time period at the heat end of the multi-energy system under the influence of wind and solar curtailment, with the goal of minimizing the total carbon emissions of the multi-energy system.

9. An electronic device, characterized in that, It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the method for calculating the dynamic carbon factor of a multi-energy system based on the α-analysis method as described in any one of claims 1 to 7.

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