Method and device for determining optimal configuration scheme of integrated energy system, equipment, medium and product

Abstract

The invention discloses an integrated energy system optimization configuration scheme determination method and device, equipment, a medium and a product, and relates to the field of integrated energy optimization configuration.The method comprises the steps that constraint conditions of an integrated energy system planning model are determined based on an integrated energy power generation system with multiple types of energy storage; according to the active carbon emission data of each component in each stage in the hydrogen energy flow process and the installed capacity, constructing a carbon emission intensity accounting model of the whole life cycle of the integrated energy system, and determining the carbon emission of each component in the whole life cycle; based on the electric energy flow process, the annual comprehensive income of the comprehensive energy power generation system is determined; and on the basis of the constraint condition, according to the annual comprehensive benefit of the comprehensive energy power generation system, constructing a comprehensive energy system planning model, and determining an optimal configuration scheme of the comprehensive energy system so as to optimally configure the carbon emission of each component. And the comprehensive full-life-cycle carbon emission of the multiple assemblies is comprehensively evaluated.

Description

Technical Field

[0001] The present application relates to the field of integrated energy optimization configuration, and in particular to a method, device, equipment, medium and product for determining an integrated energy system optimization configuration plan. Background Art

[0002] With global attention to climate change, reducing carbon emissions has become an important goal for governments and enterprises. As an important form of reducing carbon emissions, the integrated energy system can efficiently, low-carbon and economically meet the needs of multiple energy sources such as electricity, natural gas, cold and heat in the region through multi-energy substitution between multi-energy conversion equipment (such as cogeneration units). Each component of the integrated energy system releases carbon dioxide at each stage of its production, construction, operation and recycling. In addition, the substitution of multiple energy sources makes the distribution of carbon emissions within it more complicated. This complexity makes it difficult to accurately identify high-carbon emission stages, equipment and users. Most of the research on carbon emissions of integrated energy systems focuses on carbon emissions during the operation of thermal power plants, and less on tracking carbon emissions of integrated energy systems under multi-energy substitution. Existing technologies often ignore the carbon emission costs of the entire life cycle in energy system optimization, resulting in unreasonable resource allocation and failure to effectively reduce overall carbon emissions.

[0003] At present, the research on the full life cycle carbon emission assessment of single components (such as photovoltaic components, wind power generation components and energy storage devices) is relatively abundant, but the research on the carbon emissions generated by these components in the entire planning stage is still insufficient. For example, the publication number is CN117575633A, which discloses a method for calculating the carbon emissions of photovoltaic components throughout their life cycle. The method first obtains the energy data of each stage in the full life cycle of photovoltaic components; then calculates the carbon emissions in the process of silica mining per unit product, the carbon emissions in the process of industrial silicon production, the carbon emissions in the process of polysilicon production, the carbon emissions in the process of silicon wafer production, the carbon emissions in the process of battery production, the carbon emissions of photovoltaic components, the carbon emissions of photovoltaic component power generation operation, and the carbon emissions of photovoltaic component retirement and scrapping; and then calculates the total carbon emissions of the full life cycle of the photovoltaic component per unit product. The publication number is CN117421858A, which discloses a method for calculating the carbon emissions of hydrogen fuel cells throughout their life cycle. The carbon emission factor method is used to establish a hydrogen fuel cell full life cycle accounting model, and all environmental loads and environmental benefits at the boundary of its carbon footprint system are accurately and systematically quantified.

[0004] Based on the above analysis, it can be seen that the existing technology lacks an integrated energy system optimization configuration method that considers the carbon emission cost of the entire life cycle. Therefore, in order to comprehensively consider the economic benefits and environmental impact of the integrated energy system, the problem that the existing research needs to solve is to propose an integrated energy system optimization configuration method that considers the carbon emission cost of the entire life cycle. Summary of the invention

[0005] The purpose of this application is to provide a method, device, equipment, medium and product for determining an optimal configuration plan for an integrated energy system, so as to solve the problem of being unable to evaluate the comprehensive life cycle carbon emissions of multiple components in the integrated energy system.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for determining an optimal configuration scheme for an integrated energy system, comprising:

[0008] Based on an integrated energy generation system with multiple types of energy storage, the constraints of the integrated energy generation system planning model are determined by considering the objective constraints of the operation of the integrated energy generation system and the coupled operation strategy of the electric-hydrogen system; the multiple types of energy storage include wind storage, light storage and hydrogen storage; the integrated energy generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraints include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints;

[0009] A carbon emission intensity accounting model for the entire life cycle of the integrated energy system is constructed based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes the production acquisition stage, the construction stage, the operation and maintenance stage, and the scrapping and recycling stage;

[0010] Determine the full life cycle carbon emissions of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model;

[0011] Based on the electric energy flow process, determining the annual comprehensive income of the integrated energy power generation system;

[0012] Based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, constructing the integrated energy system planning model according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process;

[0013] An optimal configuration scheme for the integrated energy system is determined according to the integrated energy system planning model to optimize the carbon emissions of each component in the integrated energy system.

[0014] In a second aspect, the present application provides a device for determining an optimal configuration scheme of an integrated energy system, comprising:

[0015] A constraint determination module is used for determining the constraint conditions of the integrated energy power generation system planning model based on a multi-type energy storage system, taking into account the objective constraints of the operation of the integrated energy power generation system and the coupled operation strategy of the electric-hydrogen system; the multi-type energy storage includes wind storage, light storage and hydrogen storage; the integrated energy power generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraint conditions include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints;

[0016] A carbon emission intensity accounting model building module is used to build a carbon emission intensity accounting model for the entire life cycle of the integrated energy system based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes a production acquisition stage, a construction stage, an operation and maintenance stage, and a scrapping and recycling stage;

[0017] A full life cycle carbon emission determination module, used to determine the full life cycle carbon emission of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model;

[0018] An annual comprehensive benefit determination module, used for determining the annual comprehensive benefit of the integrated energy power generation system based on the electric energy flow process;

[0019] An integrated energy system planning model building module is used to build the integrated energy system planning model based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, and according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process;

[0020] The optimization configuration module is used to determine the optimization configuration scheme of the integrated energy system according to the integrated energy system planning model, so as to optimize the carbon emissions of each component in the integrated energy system.

[0021] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-described methods for determining an optimal configuration scheme for an integrated energy system.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for determining an optimal configuration scheme for an integrated energy system.

[0023] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for determining an optimal configuration scheme for an integrated energy system.

[0024] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0025] This application determines constraints based on an integrated energy power generation system with multiple types of energy storage, and constructs a carbon emission intensity accounting model for the entire life cycle of the integrated energy system covering the production acquisition stage, construction stage, operation and maintenance stage, and scrapping and recycling stage, so as to comprehensively evaluate the carbon emissions in each stage and further calculate the carbon emission costs; based on the constructed constraints, a comprehensive energy system planning model is constructed with the maximum annual net profit as the optimization goal, and the optimal configuration plan of the integrated energy system considering economic and environmental benefits is determined, so as to optimize the configuration of the carbon emissions of each component in the integrated energy system, and then comprehensively evaluate the comprehensive life cycle carbon emissions of multiple components in the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 This is a diagram of the architecture of a comprehensive energy generation system provided in one embodiment of the present application;

[0028] Figure 2 A flow chart of a method for determining an optimal configuration scheme for an integrated energy system provided in an embodiment of the present application;

[0029] Figure 3 A flow chart of a method for determining an optimal configuration scheme for an integrated energy system provided in another embodiment of the present application;

[0030] Figure 4 A schematic diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0033] This application constructs a comprehensive energy generation system architecture including wind / solar / hydrogen storage and multiple types of energy storage, such as Figure 1 As shown, the integrated energy power generation system (hereinafter referred to as the system) includes a wind farm, a photovoltaic power station, an energy storage power station, an electrolyzer, a hydrogen storage device and a hydrogen fuel cell.

[0034] The integrated energy generation system includes two energy flow processes: electricity and hydrogen:

[0035] In terms of electricity energy flow, wind farms and photovoltaic power stations generate electricity for transmission and consumption. To improve channel utilization, the capacity of the transmission channel needs to be lower than the total installed capacity of the power source. When new energy power is abandoned, the abandoned electricity is consumed through charging in energy storage stations or hydrogen production in electrolyzers. When the output of new energy is low, energy storage stations and hydrogen fuel cells generate electricity to meet the power supply needs of the system.

[0036] In terms of hydrogen energy flow, hydrogen produced by the electrolyzer is stored in a hydrogen storage device. The stored hydrogen energy can be used to generate electricity and connect to the grid through hydrogen fuel cells, or it can be transported outward through pipelines to meet industrial needs.

[0037] Based on the energy flow analysis, it can be seen that the operating income of the integrated energy power generation system can include electricity sales and hydrogen sales.

[0038] The implementation idea of ​​this application is to maximize the total operating income of the system based on the equal annual value, given the installed capacity of various power sources and the capacity of the transmission channel in the system. In this process, the operation strategies and constraints of various power sources and energy storage devices are taken into account to construct a capacity optimization configuration model for the integrated energy system.

[0039] The embodiment of the present application provides a method for determining an optimal configuration scheme for an integrated energy system. The method is executed by a computer device, and specifically can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, Figure 2 As shown, the method includes the following steps.

[0040] S1: Based on the integrated energy power generation system with multiple types of energy storage, the constraints of the integrated energy power generation system planning model are determined by considering the objective constraints of the operation of the integrated energy power generation system and the coupled operation strategy of the electric-hydrogen system; the multiple types of energy storage include wind storage, photovoltaic storage and hydrogen storage; the integrated energy power generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraints include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints.

[0041] S2: Construct a carbon emission intensity accounting model for the entire life cycle of the integrated energy system based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes the production acquisition stage, the construction stage, the operation and maintenance stage, and the scrapping and recycling stage.

[0042] S3: Determine the full life cycle carbon emissions of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model.

[0043] S4: Based on the electric energy flow process, determine the annual comprehensive income of the integrated energy power generation system.

[0044] S5: Based on the constraints, taking the maximum annual net profit of the integrated energy power generation system as the optimization goal, constructing the integrated energy system planning model according to the annual comprehensive profit of the integrated energy power generation system, the investment cost under equal annual values, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process.

[0045] S6: Determine an optimal configuration plan for the integrated energy system according to the integrated energy system planning model to optimize the carbon emissions of each component in the integrated energy system.

[0046] In an exemplary embodiment, S1 may be replaced by the following steps.

[0047] S1.1: Considering the objective constraints on the operation of the integrated energy power generation system, based on the upper and lower limits of the transmission channel capacity, the transmission channel capacity constraints are constructed according to the power generation of the wind farm at any time period, the power generation of the photovoltaic power station at any time period, the power generation of the energy storage power station at any time period, the power generation of the electrolyzer at any time period and the power generation of the hydrogen fuel cell at any time period.

[0048] Furthermore, the outbound channel capacity constraint is as follows:

[0049]

[0050] Where, θ represents the set of all time periods, which is 8760h in this application; p L (t) represents the power generated by the system in period t; p w (t) represents the power generation of the wind farm in period t; p pv (t) represents the power generation of the photovoltaic power station in time period t; p B (t) represents the power generation of the energy storage power station in period t; p H (t) represents the hydrogen production power of the electrolyzer in time period t; p F (t) represents the power generation of the hydrogen fuel cell in period t, and the above are all optimization variables; and They respectively represent the upper and lower limits of the system's outbound channel capacity.

[0051] S1.2: Based on the power generation of the wind farm in any period of time, the wind farm operation constraints are established according to the theoretical normalized output of the wind farm in any period of time and the installed capacity of the wind farm.

[0052] S1.3: Based on the power generation of the photovoltaic power station in any period of time, the operation constraints of the photovoltaic power station are established according to the theoretical normalized output of the photovoltaic power station in any period of time and the installed capacity of the photovoltaic power station.

[0053] Furthermore, the operation constraints of wind farms and photovoltaic power plants include power generation range constraints and utilization rate constraints, as shown in the following formula:

[0054]

[0055] In the formula, δ w (t) and δ v (t) represent the theoretical normalized output of the wind farm and photovoltaic power station in period t respectively.

[0056]

[0057] Where ε represents the maximum power abandonment rate of wind power and photovoltaic power.

[0058] S1.4: Determine the charge and discharge power range constraint and the charge and discharge state constraint according to the discharge efficiency, charging power, discharge state, charging state and inverter capacity of the energy storage power station in any period of time.

[0059] S1.5: Determine the state of charge constraint and the energy storage capacity range constraint according to the storage capacity, charging efficiency, discharging efficiency and battery capacity of the energy storage power station in any period of time.

[0060] S1.6: Determine the energy storage duration constraint according to the energy storage duration, the minimum energy storage duration and the installed capacity of the energy storage power station.

[0061] S1.7: Determine the energy storage power station operation constraint according to the charge and discharge power range constraint, the charge and discharge state constraint, the charge state constraint, the energy storage capacity range constraint, and the energy storage duration constraint.

[0062] Furthermore, the operation constraints of the energy storage power station include the charging and discharging power range constraints, the charging and discharging state constraints, the charge state constraints, the energy storage capacity range constraints and the energy storage duration constraints. The specific formula is shown in the following formula:

[0063] The charge and discharge power range constraints are as follows:

[0064]

[0065] In the formula, represents the discharge power of the energy storage power station in period t; represents the charging power of the energy storage power station in period t; Indicates the discharge state of the energy storage power station in period t, which is a 0-1 variable; Indicates the charging state of the energy storage power station in period t, which is a 0-1 variable. All of the above are optimization variables; C B Represents the inverter capacity of the energy storage power station, which is a known quantity.

[0066] The charge and discharge state constraints are as follows:

[0067]

[0068] The state of charge constraint is as follows:

[0069]

[0070] In the formula, e B (t) represents the storage capacity of the energy storage power station in period t, which is an optimization variable; and They represent the charging efficiency and discharging efficiency of the energy storage power station respectively.

[0071] The energy storage capacity range constraint is as follows:

[0072]

[0073] The energy storage duration constraint is as follows:

[0074]

[0075] Where N B Represents the storage duration of the energy storage power station, which is an integer optimization variable: NB Indicates the minimum storage duration of the energy storage power station.

[0076] S1.8: Determine the hydrogen production constraints of the electrolyzer according to the hydrogen production amount and hydrogen production efficiency of the electrolyzer in any time period, and based on the hydrogen production constraints of the electrolyzer, determine the power range constraints of the electrolyzer according to the operating status of the electrolyzer in any time period, the maximum technical output of the electrolyzer, the minimum technical output of the electrolyzer and the installed capacity of the electrolyzer.

[0077] S1.9: Determine the power generation constraint of the hydrogen fuel cell according to the hydrogen consumption of the hydrogen fuel cell in any time period and the power generation efficiency of the hydrogen fuel cell, and based on the power generation constraint of the hydrogen fuel cell, determine the power range constraint of the hydrogen fuel cell according to the operating status of the hydrogen fuel cell in any time period, the maximum technical output of the hydrogen fuel cell, the minimum technical output of the hydrogen fuel cell and the installed capacity of the hydrogen fuel cell.

[0078] S1.10: Determine the capacity range constraint of the hydrogen storage device based on the hydrogen storage amount of the hydrogen storage device in any time period, the capacity of the hydrogen storage device, and the minimum configuration capacity.

[0079] S1.11: Determine the capacity balance constraint of the energy storage device according to the hydrogen storage capacity of the hydrogen storage device at any time period, the hydrogen production capacity of the electrolyzer at any time period, the hydrogen consumption of the hydrogen fuel cell at any time period, and the amount of hydrogen transported out by the hydrogen storage device at any time period; and based on the capacity balance constraint of the energy storage device, determine the range constraint of the energy storage device's external delivery capacity according to the upper limit of the energy storage device's external delivery capacity.

[0080] S1.12: Determine the operating constraints of the hydrogen energy system based on the electrolyzer hydrogen production constraints, the electrolyzer power range constraints, the hydrogen fuel cell power generation constraints, the hydrogen fuel cell, the power range constraints, the hydrogen storage device capacity range constraints, the hydrogen storage device capacity balance constraints and the hydrogen storage device delivery capacity range constraints.

[0081] Furthermore, the operation constraints of the hydrogen energy system include electrolyzer hydrogen production constraints, electrolyzer power range constraints, hydrogen fuel cell power generation constraints, hydrogen fuel cell, power range constraints, hydrogen storage device capacity range constraints, hydrogen storage device capacity balance constraints and hydrogen storage device delivery capacity range constraints. The specific formula is shown in the following formula: Electrolyzer hydrogen production constraints are as follows:

[0082]

[0083] Where V H (t) represents the amount of hydrogen produced by the electrolyzer in time period t, which is the optimization variable; η H Indicates the hydrogen production efficiency of the electrolyzer;

[0084] The power range of the electrolyzer is constrained as follows:

[0085]

[0086] In the formula, S H (t) represents the operating state of the electrolytic cell in period t, which is a 0-1 optimization variable; and Respectively represent the maximum and minimum technical output of the electrolyzer.

[0087] The constraints of hydrogen fuel cell power generation are as follows:

[0088]

[0089] Where V F (t) represents the hydrogen consumption of the hydrogen fuel cell in period t, which is an optimization variable; η F Indicates the power generation efficiency of hydrogen fuel cells.

[0090] The power range constraint of hydrogen fuel cells is as follows:

[0091]

[0092] In the formula, S F (t) represents the operating state of the hydrogen fuel cell in period t, which is a 0-1 optimization variable; and Respectively represent the maximum and minimum technical output of hydrogen fuel cells.

[0093] The capacity range of the hydrogen storage device is constrained as follows:

[0094]

[0095] In the formula, e H (t) represents the hydrogen storage capacity of the hydrogen storage device in time period t, which is an optimization variable; E H Indicates the minimum configuration capacity of the hydrogen storage device.

[0096] The capacity balance constraint of the hydrogen storage device is as follows:

[0097]

[0098] In the formula, It represents the amount of hydrogen transported out by the hydrogen storage device during period t and is an optimization variable.

[0099] The range constraint of hydrogen storage device delivery capacity is as follows:

[0100]

[0101] In the formula, Indicates the upper limit of the hydrogen storage device's delivery capacity.

[0102] S1.13: Under the coupled operation strategy of the electric-hydrogen system, the coupled operation strategy construction constraints are determined according to the power abandonment status, the installed capacity of the wind farm, the installed capacity of the photovoltaic power station, the power generation of the wind farm at any time period, the power generation of the photovoltaic power station at any time period, the discharge power and charging power of the energy storage power station at any time period, the inverter capacity of the energy storage power station, the hydrogen production power of the electrolyzer at any time period, the installed capacity of the electrolyzer, the power generation of the hydrogen fuel cell at any time period and the installed capacity of the hydrogen fuel cell; the coupled operation strategy of the electric-hydrogen system includes the operation strategies of the electrolyzer and the hydrogen fuel cell and the operation strategy of the energy storage power station.

[0103] Furthermore, the coupled operation constraints are constraints constructed according to the coupled operation strategy of the integrated energy system. The logic of the coupled operation strategy is as follows: 1) Energy storage power station operation strategy: In the case of power abandonment in wind power or photovoltaic power generation, the energy storage power station will be charged and not allowed to discharge; when there is no power abandonment in wind power or photovoltaic power generation, the energy storage power station can discharge. Considering that there is energy loss in the charging and discharging process of the energy storage power station, this strategy aims to avoid unnecessary discharge when new energy is abandoned on the one hand, and reduce the operation frequency of the energy storage power station on the other hand, thereby extending its service life. 2) Electrolyzer and hydrogen fuel cell operation strategy: When wind power or photovoltaic power generation is abandoned, the electrolyzer will produce hydrogen, and the hydrogen fuel cell is not allowed to generate electricity; when there is no power abandonment in wind power or photovoltaic power generation, the electrolyzer will stop producing hydrogen, and the hydrogen fuel cell can generate electricity. Due to the low efficiency of electricity-hydrogen-electricity conversion, the setting of this operation strategy is intended to avoid the waste of new energy resources due to energy conversion losses. The specific formula is as follows:

[0104]

[0105] In the formula, x(t) represents the curtailment state of wind power / photovoltaic power as a 0-1 variable, and m represents a very small positive number. The above-mentioned objective function and constraints together constitute the capacity planning model of the integrated energy system. The optimization variables include the device capacity of the electric energy storage and hydrogen energy storage systems and the operating status of each component of the system in each time period.

[0106] In an exemplary embodiment, in order to calculate the full life cycle carbon emissions E of the components of the energy storage battery device, electrolyzer, hydrogen fuel cell and hydrogen storage device in the system car,k, it is necessary to establish a carbon emission intensity accounting model for the entire life cycle of an integrated energy system. The calculation of carbon emission intensity must first determine the carbon footprint system boundary within the entire life cycle of the research object. The carbon footprint system boundary generally includes the system component raw material production and acquisition stage, the system component construction stage, the system component operation and maintenance stage, and the system component scrapping and recycling stage; the full-cycle carbon emission of the integrated energy system is equal to the sum of the CO2 gas emissions in the system component raw material production and acquisition stage, the system component construction stage, the system component operation and maintenance stage, and the system component scrapping and recycling stage within the boundary.

[0107] Calculate the carbon emissions at each stage of the life cycle according to the carbon emission factor method; the activity level data refers to the consumption of fuel or energy; the carbon emission factor refers to the CO2 emissions caused by the activities of each functional unit; by analyzing the carbon footprint of system components, it can be found that the following activities will produce carbon emissions: material and fossil fuel use, electricity consumption, heat consumption, welding with carbon dioxide gas shielded welding, transportation process and waste disposal activities; regarding carbon emission factors, background data factors can refer to the relevant data that has been published, while real-life data factors need to be measured on site according to actual conditions. S2 can be replaced by the following steps.

[0108] S2.1: Using Formula E car,k =(σ p +σ c +σ o +σ r )·C k Construct a carbon emission intensity accounting model for the entire life cycle of the integrated energy system; car,k is the carbon emission of each component in the hydrogen energy flow process over its entire life cycle; k = 1, 2, 3, 4, where k represents the energy storage power station, electrolyzer, hydrogen fuel cell and hydrogen storage device in the hydrogen energy flow process respectively; σ p , σ c , σ o and σ r They represent the carbon emission data of the activities involved in the production acquisition stage, construction stage, operation and maintenance stage, and scrapping and recycling stage of component k, in kg / kWh or kg / kW; C k is the installed capacity of component k, in kWh or kW.

[0109] Taking electrolyzer equipment as an example, the carbon emissions of the entire life cycle are analyzed and calculated:

[0110] The electrolyzer equipment is mainly composed of a secondary reaction device and a control system. Analysis shows that the equipment capacity is mainly determined by the capacity of the secondary reaction device. Since the capacity has little impact on the control system, it is assumed that the carbon emissions of electrolyzer equipment of different capacities are the same during the construction and dismantling and recycling process. Therefore, this application only focuses on the full life cycle carbon emissions of the secondary reaction device of the electrolyzer equipment. The first-stage reaction device is a proton exchange membrane water electrolysis hydrogen production device, which mainly includes an external frame and an electrolyzer. The carbon emissions during its construction process mainly come from steel casting and the reduction of precious metal electrocatalysts. The second-stage reaction device is a methanation device, which includes a methanation reactor, a desulfurization tank, a waste heat boiler, a steam superheater and a circulating compressor. The carbon emissions during its construction process are mainly generated by steel casting.

[0111] Since the electrolyzer equipment consumes electricity generated by renewable energy during the operation and maintenance phase of the integrated energy system, it does not involve carbon emissions. Therefore, during the construction of the electrolyzer equipment, it is necessary to consider the direct carbon emissions generated by steel casting and precious metal reduction, as well as the indirect carbon emissions caused by electricity consumption. The specific formula for carbon emissions generated by electrolyzer equipment during the entire life cycle is as follows:

[0112] E car,H =C H ·(σ sl +σ cl +E P2G,inde α+σ re )

[0113] In the formula, E car,H is the carbon emissions generated by the electrolyzer equipment during its entire life cycle; sl , σ cl They are the carbon emission coefficient of steel casting and the carbon emission coefficient of precious metal reduction involved in the raw material production and acquisition stage of the electrolytic cell equipment, in kg / kW; E P2G,inde , α is the power consumption of all production equipment involved in the electrolyzer equipment during the system component construction phase (kW·h / kW), and the carbon emission coefficient corresponding to the power purchased from the power grid (the value is 0.997kg / (kW·h)); σ re is the carbon emission coefficient of the electrolyzer equipment at the scrapping and recycling stage, in kg / kW; C H It is the installed capacity of electrolyzer equipment.

[0114] In an exemplary embodiment, S4 may be replaced by the following steps.

[0115] S4.1: Based on the electric energy flow process, the electricity sales revenue of the integrated power generation system is determined according to the electricity sales price, the external power transmission of the integrated energy power generation system in any period, the number of optimized periods throughout the year and the length of the unit period.

[0116] S4.2: Determine the hydrogen sales revenue of the integrated power generation system based on the hydrogen sales price, the amount of hydrogen delivered by the integrated energy power generation system in any period of time, the number of optimized time periods throughout the year, and the length of the unit time period.

[0117] The annual comprehensive income is determined based on the electricity sales income and the hydrogen sales income.

[0118] Furthermore, the system's annual comprehensive income I includes two parts: electricity sales income and hydrogen sales income, and the calculation method is as follows:

[0119]

[0120] In the formula, I E and I H Respectively represent the revenue from electricity sales and hydrogen sales of the system; λ E and λ H P is the price of electricity and hydrogen sold by the system; L (t) and are the system's external power and external hydrogen volume in period t; t represents the period number; T represents the number of optimized periods throughout the year, which is 8760 hours in this application; Δt represents the unit period length.

[0121] In an exemplary embodiment, before S5, the process further includes:

[0122] S5.1: Determine the investment cost under equal annual value based on the operating life of the integrated energy system, the discount rate and the investment cost of each component.

[0123] Furthermore, the system investment cost C under the same annual value cap The calculation method is shown in the following formula:

[0124]

[0125] In the formula, r represents the discount rate; m represents the operating life of the system; C cap,k , i = 1, 2…4 represents the investment cost of the i-th subsystem, corresponding to subsystem 1 as a wind farm, subsystem 2 as a photovoltaic power station, subsystem 3 as an energy storage power station inverter and battery, and subsystem 4 as an electrolyzer, hydrogen fuel cell and hydrogen storage device. The calculation method is as follows:

[0126]

[0127] In the formula, C W and λ W Respectively represent the installed capacity of wind farm and the unit installed investment cost; C pV and λ pV They represent the installed capacity of photovoltaic power stations and the unit installed investment cost respectively; C B and λ B1They represent the inverter capacity of the energy storage power station and the investment cost per unit installed capacity (inverter capacity) respectively; E B and λ B2 Respectively represent the battery capacity of the energy storage power station and the unit capacity investment cost; C H and λ H1 Respectively represent the installed capacity of electrolytic cell and the unit installed investment cost; C F and λ H2 They represent the installed capacity of hydrogen fuel cells and the unit installed investment cost respectively; E H and λ H3 Represent the hydrogen storage device capacity and unit capacity investment cost respectively. The optimized variable in the above variables is the battery capacity E of the energy storage station B 、Capacity of hydrogen storage device E H , electrolyzer installed capacity C H 、Hydrogen fuel cell installed capacity C F , and the others are known quantities.

[0128] S5.2: Determine the carbon emission cost of the integrated energy system over its entire life cycle based on the life cycle carbon emissions and life cycle of each component in the hydrogen energy flow process, the carbon emission quota of the integrated energy system, and the carbon emission fee per kilogram.

[0129] Furthermore, the carbon emission cost of the system throughout its life cycle is C car , by evaluating the cost of each ton of carbon emissions of economic actors, thus quantifying their environmental impact and economic responsibility. First, the annual discounted value of the carbon emissions of the integrated energy system over its entire life cycle is calculated based on the cost equal annual value method, and then multiplied by the market price of each ton of carbon on the basis of considering the carbon emission quota to obtain the carbon emission cost C of the integrated energy system over its entire life cycle. car The specific calculation formula is as follows:

[0130]

[0131] In the formula, C car is the carbon emission cost of the entire life cycle of the integrated energy system; E car,k , k = 1, 2…4, represents the carbon emissions of the entire life cycle of the integrated energy system components, energy storage battery device, electrolyzer, hydrogen fuel cell and hydrogen storage device; d k (k=1,2…4) represents the carbon emission discount rate of the whole life cycle of the system components, including the energy storage battery device, electrolyzer, hydrogen fuel cell and hydrogen storage device; m k (k=1,2…4) represents the life cycle of the system components, namely, the energy storage battery device, the electrolyzer, the hydrogen fuel cell and the hydrogen storage device; E0 is the carbon emission quota of the system; A fee per kilogram of carbon emissions.

[0132] S5.3: Determine the annual operation and maintenance cost according to the carbon emission cost and the operation and maintenance cost coefficient.

[0133] Furthermore, the annual system operation and maintenance cost C o&m The calculation method is shown in the following formula:

[0134] C o&m =C cap α

[0135] Where α represents the operation and maintenance cost coefficient.

[0136] In an exemplary embodiment, S5 may be replaced by the following steps.

[0137] Use the formula maxR=IC cap -C o&m -C car Construct the integrated energy system planning model; wherein R is the annual net income of the integrated energy power generation system; I is the annual comprehensive income; C cap is the investment cost under equal annual value; C o&m is the annual operation and maintenance cost; C car is the carbon emission cost of the integrated energy system over its entire life cycle.

[0138] The Yalmip toolbox and Gurobi solver are used to solve the planning model to obtain the optimal system configuration solution.

[0139] In practical applications, this application provides another method for determining an optimal configuration scheme for an integrated energy system, such as Figure 3 As shown, the following steps are included:

[0140] Step 1: Build an integrated energy generation system architecture.

[0141] Step 2: Determine the carbon footprint system boundary of the research object in the integrated energy system throughout its life cycle, establish a carbon emission intensity accounting model for the entire life cycle, and calculate the carbon emission cost.

[0142] Among them, the calculation of the carbon emission cost of the integrated energy system over its entire life cycle requires determining the carbon footprint system boundary of the research object, calculating the carbon emissions of the research object over its entire life cycle based on the carbon emission intensity accounting model, and then using the annual value method of expenses to calculate the annual discounted value of the carbon emissions of the research object over its entire life cycle. Taking into account the carbon emission quota, multiplying it by the market price per ton of carbon can give the annual discounted value of the carbon emission cost of the integrated energy system over its entire life cycle.

[0143] The carbon footprint system boundary within the entire life cycle includes the system component raw material production and acquisition stage, the system component construction stage, the system component operation and maintenance stage, and the system component scrapping and recycling stage; the full-cycle carbon emissions of the integrated energy system are equal to the sum of the CO2 gas emissions in the system component raw material production and acquisition stage, the system component construction stage, the system component operation and maintenance stage, and the system component scrapping and recycling stage within the boundary.

[0144] Step 3: Obtain the theoretical output sequence of wind / solar energy in the integrated energy system for 8760 hours throughout the year and model parameters. The model parameters include the installed capacity and economic parameters of each component in the integrated energy system, namely, wind farms, photovoltaic power stations, energy storage power stations, electrolyzers, hydrogen storage devices, and hydrogen fuel cells. They also include the carbon emission factor coefficients of the full life cycle activities of energy storage power stations, electrolyzers, hydrogen storage devices, and hydrogen fuel cells.

[0145] Step 4: Based on the model parameters and data, a comprehensive energy system planning model is constructed with the theoretical output sequence of wind / solar power for 8760 hours throughout the year as input, with the goal of maximizing the annual net profit of the system, taking into account investment costs, operation and maintenance costs, and carbon emission costs.

[0146] Step 5: Obtain the system configuration plan based on the calculation and solution of the comprehensive energy system planning model, and determine the optimal system configuration plan.

[0147] This application establishes a comprehensive energy system planning model that takes into account full-cycle carbon emissions, so that planning schemes can better assess carbon emission responsibilities and guide consumers to reduce carbon emissions, comprehensively consider environmental protection and economy, and help investors provide a scientific basis for decision-making.

[0148] Based on the same inventive concept, the embodiment of the present application also provides a device for determining an optimal configuration scheme for an integrated energy system for implementing the above-mentioned method for determining an optimal configuration scheme for an integrated energy system. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the device for determining an optimal configuration scheme for an integrated energy system provided below can refer to the limitations of the method for determining an optimal configuration scheme for an integrated energy system above, and will not be repeated here.

[0149] In an exemplary embodiment, a device for determining an optimal configuration scheme of an integrated energy system is provided, comprising:

[0150] A constraint determination module is used for determining the constraints of the integrated energy power generation system planning model based on a multi-type energy storage system, taking into account the objective constraints of the operation of the integrated energy power generation system and the coupled operation strategy of the electric-hydrogen system; the multi-type energy storage includes wind storage, photovoltaic storage and hydrogen storage; the integrated energy power generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraints include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints.

[0151] The carbon emission intensity accounting model construction module is used to construct a carbon emission intensity accounting model for the entire life cycle of the integrated energy system based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes the production acquisition stage, the construction stage, the operation and maintenance stage, and the scrapping and recycling stage.

[0152] The full life cycle carbon emissions determination module is used to determine the full life cycle carbon emissions of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model.

[0153] The annual comprehensive benefit determination module is used to determine the annual comprehensive benefit of the integrated energy power generation system based on the electric energy flow process.

[0154] The integrated energy system planning model construction module is used to construct the integrated energy system planning model based on the constraints, with the maximum annual net profit of the integrated energy power generation system as the optimization goal, according to the annual comprehensive profit of the integrated energy power generation system, the investment cost under equal annual values, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process.

[0155] The optimization configuration module is used to determine the optimization configuration scheme of the integrated energy system according to the integrated energy system planning model, so as to optimize the carbon emissions of each component in the integrated energy system.

[0156] In an exemplary embodiment, a computer device is provided, such as Figure 4As shown, the computer device can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data for determining the optimal configuration scheme of the integrated energy system. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the optimal configuration scheme of the integrated energy system is implemented.

[0157] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above method is implemented when the processor executes the computer program.

[0158] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the above method when executed by a processor.

[0159] In an exemplary embodiment, a computer program product is provided, including a computer program, which implements the above method when executed by a processor.

[0160] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0161] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0162] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0163] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0164] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for determining an optimal configuration scheme for an integrated energy system, characterized in that: The method for determining the optimal configuration scheme of the comprehensive energy system comprises: An integrated energy generation system based on multi-type energy storage, taking into account the objective constraints of the operation of the integrated energy generation system and the coupled operation strategy of the electric-hydrogen system, determines the constraints of the integrated energy system planning model; the multi-type energy storage includes wind storage, light storage and hydrogen storage; the integrated energy generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraints include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints; A carbon emission intensity accounting model for the entire life cycle of the integrated energy system is constructed based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes the production acquisition stage, the construction stage, the operation and maintenance stage, and the scrapping and recycling stage; Determine the full life cycle carbon emissions of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model; Based on the electric energy flow process, determining the annual comprehensive income of the integrated energy power generation system; Based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, constructing the integrated energy system planning model according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process; An optimal configuration scheme for the integrated energy system is determined according to the integrated energy system planning model to optimize the carbon emissions of each component in the integrated energy system.

2. The method for determining an optimal configuration scheme for an integrated energy system according to claim 1, characterized in that: Based on the integrated energy power generation system with multiple types of energy storage, the objective constraints of the operation of the integrated energy power generation system and the coupled operation strategy of the electric-hydrogen system are considered to determine the constraints of the integrated energy system planning model, including: Taking into account the objective constraints of the operation of the integrated energy power generation system, based on the upper and lower limits of the transmission channel capacity, according to the power generation of the wind farm at any time period, the power generation of the photovoltaic power station at any time period, the power generation of the energy storage power station at any time period, the power generation of the electrolyzer at any time period, and the power generation of the hydrogen fuel cell at any time period, the transmission channel capacity constraint is constructed; Based on the power generation of the wind farm in any period, the wind farm operation constraints are established according to the theoretical normalized output of the wind farm in any period and the installed capacity of the wind farm; Based on the power generation of the photovoltaic power station in any period of time, the operation constraints of the photovoltaic power station are established according to the theoretical normalized output of the photovoltaic power station in any period of time and the installed capacity of the photovoltaic power station; Determine the charge and discharge power range constraint and the charge and discharge state constraint according to the discharge efficiency, charging power, discharge state, charging state and inverter capacity of the energy storage power station in any period of time; Determine the state of charge constraint and the energy storage capacity range constraint according to the storage capacity, charging efficiency, discharging efficiency and battery capacity of the energy storage power station in any period of time; Determine the energy storage duration constraint according to the energy storage duration, the minimum energy storage duration, and the installed capacity of the energy storage power station; Determine the energy storage power station operation constraint according to the charge and discharge power range constraint, the charge and discharge state constraint, the charge state constraint, the energy storage capacity range constraint, and the energy storage duration constraint; Determine the hydrogen production constraint of the electrolyzer according to the hydrogen production amount and hydrogen production efficiency of the electrolyzer in any period of time, and determine the power range constraint of the electrolyzer according to the operating state of the electrolyzer in any period of time, the maximum technical output of the electrolyzer, the minimum technical output of the electrolyzer and the installed capacity of the electrolyzer based on the hydrogen production constraint of the electrolyzer; Determine the power generation constraint of the hydrogen fuel cell according to the hydrogen consumption of the hydrogen fuel cell in any period of time and the power generation efficiency of the hydrogen fuel cell, and determine the power range constraint of the hydrogen fuel cell according to the operating state of the hydrogen fuel cell in any period of time, the maximum technical output of the hydrogen fuel cell, the minimum technical output of the hydrogen fuel cell and the installed capacity of the hydrogen fuel cell based on the power generation constraint of the hydrogen fuel cell; Determining a capacity range constraint of the hydrogen storage device according to the hydrogen storage amount of the hydrogen storage device at any time period, the capacity of the hydrogen storage device, and the minimum configuration capacity; Determine the capacity balance constraint of the energy storage device according to the hydrogen storage amount of the hydrogen storage device at any time period, the hydrogen production amount of the electrolyzer at any time period, the hydrogen consumption of the hydrogen fuel cell at any time period, and the amount of hydrogen transported outward by the hydrogen storage device at any time period, and determine the energy storage device delivery capacity range constraint based on the energy storage device capacity balance constraint and the energy storage device delivery capacity upper limit; Determine the hydrogen energy system operation constraint according to the electrolyzer hydrogen production constraint, the electrolyzer power range constraint, the hydrogen fuel cell power generation constraint, the hydrogen fuel cell, the power range constraint, the hydrogen storage device capacity range constraint, the hydrogen storage device capacity balance constraint, and the hydrogen storage device delivery capacity range constraint; Under the coupled operation strategy of the electric-hydrogen system, constraints for constructing the coupled operation strategy are determined according to the power abandonment status, the installed capacity of the wind farm, the installed capacity of the photovoltaic power station, the power generation power of the wind farm at any time period, the power generation power of the photovoltaic power station at any time period, the discharge power and charging power of the energy storage power station at any time period, the inverter capacity of the energy storage power station, the hydrogen production power of the electrolyzer at any time period, the installed capacity of the electrolyzer, the power generation power of the hydrogen fuel cell at any time period, and the installed capacity of the hydrogen fuel cell; the coupled operation strategy of the electric-hydrogen system includes the operation strategies of the electrolyzer and the hydrogen fuel cell and the operation strategy of the energy storage power station; the power abandonment status includes the power abandonment status of the wind farm and the power abandonment status of the photovoltaic power station.

3. The method for determining an optimal configuration scheme for an integrated energy system according to claim 1, characterized in that: Based on the carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component, a carbon emission intensity accounting model for the entire life cycle of the integrated energy system is constructed, specifically including: Using Formula E car,k =(σ p +σ c +σ o +σ r )·C k Construct a carbon emission intensity accounting model for the entire life cycle of the integrated energy system; car,k is the carbon emission of each component in the hydrogen energy flow process over its entire life cycle; k = 1, 2, 3, 4, where k represents the energy storage power station, electrolyzer, hydrogen fuel cell and hydrogen storage device in the hydrogen energy flow process respectively; σ p , σ c , σ o and σ r They represent the carbon emission data of the activities involved in the production acquisition stage, construction stage, operation and maintenance stage, and scrapping and recycling stage of component k respectively; C k is the installed capacity of component k.

4. The method for determining an optimal configuration scheme for an integrated energy system according to claim 1, characterized in that: Based on the electric energy flow process, the annual comprehensive benefit of the integrated energy generation system is determined, specifically including: Based on the electric energy flow process, the electricity sales revenue of the integrated power generation system is determined according to the electricity sales price, the external power delivered by the integrated energy power generation system in any period, the number of optimized periods throughout the year, and the unit period length; Determine the hydrogen sales revenue of the integrated power generation system according to the hydrogen sales price, the amount of hydrogen delivered by the integrated energy power generation system in any period, the number of optimized periods throughout the year, and the length of a unit period; The annual comprehensive income is determined based on the electricity sales income and the hydrogen sales income.

5. The method for determining an optimal configuration scheme for an integrated energy system according to claim 1, characterized in that: Based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, the integrated energy system planning model is constructed according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process, which also includes: Determine the investment cost under equal annual value according to the operating life of the integrated energy system, the discount rate and the investment cost of each component; Determine the carbon emission cost of the integrated energy system over its entire life cycle based on the carbon emissions and life cycle of each component in the hydrogen energy flow process, the carbon emission quota of the integrated energy system, and the carbon emission fee per kilogram; The annual operation and maintenance cost is determined according to the carbon emission cost and the operation and maintenance cost coefficient.

6. The method for determining an optimal configuration scheme for an integrated energy system according to claim 1, characterized in that: Based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost and the full life cycle carbon emissions of each component in the hydrogen energy flow process, the integrated energy system planning model is constructed, which specifically includes: Use the formula maxR=IC cap -C o&m -C car Construct the integrated energy system planning model; wherein R is the annual net income of the integrated energy power generation system; I is the annual comprehensive income; C cap is the investment cost under equal annual value; C o&m is the annual operation and maintenance cost; C car is the carbon emission cost of the integrated energy system over its entire life cycle.

7. A device for determining an optimal configuration scheme for an integrated energy system, characterized in that: The device for determining the optimal configuration scheme of the comprehensive energy system comprises: A constraint determination module is used for determining the constraint conditions of the integrated energy power generation system planning model based on a multi-type energy storage system, taking into account the objective constraints of the operation of the integrated energy power generation system and the coupled operation strategy of the electric-hydrogen system; the multi-type energy storage includes wind storage, light storage and hydrogen storage; the integrated energy power generation system includes multiple components, the multiple components include components in the electric energy flow process and components in the hydrogen energy flow process, the components in the electric energy flow process include wind farms and photovoltaic power stations, and the components in the hydrogen energy flow process include energy storage power stations, electrolyzers, hydrogen storage devices and hydrogen fuel cells; the constraint conditions include transmission channel capacity constraints, wind farm operation constraints, photovoltaic power station operation constraints, energy storage power station operation constraints, hydrogen energy system operation constraints and coupled operation strategy construction constraints; A carbon emission intensity accounting model building module is used to build a carbon emission intensity accounting model for the entire life cycle of the integrated energy system based on the active carbon emission data of each component at each stage in the hydrogen energy flow process and the installed capacity of each component; each stage includes a production acquisition stage, a construction stage, an operation and maintenance stage, and a scrapping and recycling stage; A full life cycle carbon emission determination module, used to determine the full life cycle carbon emission of each component in the hydrogen energy flow process according to the carbon emission intensity accounting model; An annual comprehensive benefit determination module, used for determining the annual comprehensive benefit of the integrated energy power generation system based on the electric energy flow process; An integrated energy system planning model building module is used to build the integrated energy system planning model based on the constraints, taking the maximum annual net income of the integrated energy power generation system as the optimization goal, and according to the annual comprehensive income of the integrated energy power generation system, the investment cost under equal annual value, the annual operation and maintenance cost, and the full life cycle carbon emissions of each component in the hydrogen energy flow process; The optimization configuration module is used to determine the optimization configuration scheme of the integrated energy system according to the integrated energy system planning model, so as to optimize the carbon emissions of each component in the integrated energy system.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining an optimal configuration scheme for an integrated energy system as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining an optimal configuration plan for an integrated energy system according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining an optimal configuration plan for an integrated energy system according to any one of claims 1 to 6 is implemented.

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