Comprehensive energy low-carbon scheduling optimization method considering full life cycle and carbon capture

Abstract

The invention discloses a comprehensive energy low-carbon scheduling optimization method considering a full life cycle and carbon capture, and relates to the technical field of energy system optimization, and the method comprises the steps: evaluating the life cycle carbon emission of natural gas; evaluating power grid electricity purchasing life cycle carbon emission; evaluating the carbon emission of the carbon capture system in the life cycle; evaluating the life cycle carbon emission of the wind power station; and establishing an integrated energy system scheduling optimization model. According to the method, a comprehensive energy system optimization scheduling model considering full-life-cycle carbon emission and a carbon capture technology is established, step-by-step carbon transaction is considered, carbon emission in all links from energy production to consumption is systematically evaluated and optimized, carbon emission is effectively reduced in combination with the carbon capture technology, and energy consumption is reduced. And low-carbon, economical and reliable operation of the energy system is realized. Through full life cycle analysis, the system not only can reduce the overall carbon footprint, but also can improve the energy utilization efficiency and reduce the energy cost, and finally provides powerful technical support for coping with climate changes.

Description

Technical Field

[0001] The present invention relates to the technical field of energy system optimization, and specifically to a comprehensive energy low-carbon scheduling optimization method considering the entire life cycle and carbon capture. Background Art

[0002] In the context of global low-carbon transformation, low-carbon dispatch optimization of integrated energy system (IES) has become the key to promoting energy structure transformation and achieving sustainable development. IES is a composite energy network that integrates power system, natural gas system and supply (cooling) system. It accurately meets the needs of different loads through the mutual conversion and storage of multiple energy sources. The system includes generators, transformers, gas turbines, heat pumps, energy storage devices and other diversified energy utilization and conversion equipment, which can play the complementary characteristics and synergistic effects of different energy forms. Intelligent management and optimization algorithms enable IES to achieve optimal energy configuration, improve the system's operational flexibility and response speed, thereby improving energy utilization efficiency and achieving energy conservation and emission reduction.

[0003] In this framework, low-carbon scheduling optimization is particularly important. It not only needs to consider the adjustment of energy structure, increase the proportion of clean energy utilization, and reduce dependence on fossil energy, but also needs to pay attention to energy conservation and emission reduction measures in energy production, transmission and use. In addition, carbon capture technology, as a key emission reduction method, can be applied in IES to further reduce carbon emissions, provide transition solutions for industries that are difficult to reduce emissions, and promote the green transformation of the economy. Although the current research in the field of IES low-carbon scheduling has achieved remarkable results, there are still shortcomings: few studies have considered carbon emissions throughout the life cycle. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing low-carbon scheduling optimization method of the integrated energy system (IES) does not take into account the carbon emissions over the entire life cycle, and how to more effectively integrate and reduce the overall carbon emissions of the system.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for optimizing low-carbon scheduling of comprehensive energy sources considering the whole life cycle and carbon capture, comprising:

[0007] As a preferred scheme of the comprehensive energy low-carbon scheduling optimization method considering the entire life cycle and carbon capture described in the present invention, the evaluation of natural gas life cycle carbon emissions includes adding the carbon emissions of the three stages of extraction, transportation, and use to obtain the entire life cycle carbon emissions of natural gas in IES.

[0008] As a preferred solution of the comprehensive energy low-carbon dispatch optimization method considering the whole life cycle and carbon capture described in the present invention, wherein: the evaluation of the carbon emissions of the power grid purchasing life cycle includes the complex structure of China's power generation system. There are many different types of power generation facilities and energy sources, mainly including thermal power generation, hydropower generation, nuclear power, renewable energy and other energy generation. According to the report released by the state, the carbon dioxide emissions generated by purchasing electricity are expressed as:

[0009] Q e =P e.buy *EF e (3)

[0010] Among them, Q e is the carbon emissions from using purchased electricity, P e.buy is the electricity purchased from the grid, EF e is the carbon emission coefficient of the power grid.

[0011] As a preferred solution of the method for optimizing low-carbon scheduling of comprehensive energy for carbon capture considering the whole life cycle as described in the present invention, wherein: the evaluation of carbon emissions during the life cycle of the carbon capture system includes certain pollutant emissions and resource consumption during equipment manufacturing, capture process and decommissioning process. The boundaries of the carbon capture system are defined, mainly including the construction, operation and decommissioning stages. The construction stage involves the construction of capture equipment and compression devices. The operation stage includes energy and material losses during capture and storage. The decommissioning stage mainly considers the resource recovery process of the equipment;

[0012] The carbon emissions of the CCPP system include the energy consumption of electricity and steam inputs as well as the energy consumption of material inputs such as ethanolamine solvent and circulating cooling water consumption.

[0013] As a preferred scheme of the method for optimizing low-carbon scheduling of integrated energy with full life cycle and carbon capture as described in the present invention, wherein: the evaluation of carbon emissions of wind power stations throughout their life cycle includes the boundary of the wind power system from the acquisition and production of various raw materials of wind turbines to the recycling and disposal of equipment during retirement; the system boundary includes four life stages of the wind farm, namely, the wind turbine production and manufacturing stage, the wind farm construction and equipment transportation stage, the operation and maintenance stage, and the retirement stage.

[0014] As a preferred solution of the comprehensive energy low-carbon scheduling optimization method considering the whole life cycle and carbon capture described in the present invention, wherein: the establishment of the comprehensive energy system scheduling optimization model includes establishing an objective function;

[0015] Taking into account CCPP fuel costs, carbon trading costs, grid electricity procurement costs, grid gas procurement costs, biomass fuel costs, carbon storage costs, interruptible load compensation costs, and P2G carbon costs, an objective function with the optimization goal of reducing total operating costs was established.

[0016] As a preferred scheme of the comprehensive energy low-carbon scheduling optimization method considering the whole life cycle and carbon capture described in the present invention, wherein: the establishment of the comprehensive energy system scheduling optimization model includes adding constraints; including electricity, heat and gas storage constraints, biomass gas constraints, and carbon capture power plant constraints.

[0017] Another object of the present invention is to provide a comprehensive energy low-carbon scheduling optimization system that takes into account the entire life cycle and carbon capture, which can adopt life cycle assessment through one of the schemes to solve the problems of current carbon capture technology with a single capture type, high cost and low utilization rate.

[0018] As a preferred solution of the comprehensive energy low-carbon scheduling optimization system considering the entire life cycle and carbon capture described in the present invention, it includes: a full life cycle carbon emission module, a comprehensive energy system scheduling optimization module, and a case analysis module; the full life cycle carbon emission module is used to evaluate the life cycle carbon emissions of natural gas, the life cycle carbon emissions of power grid purchases, the life cycle carbon emissions of carbon capture systems, and the life cycle carbon emissions of wind power stations; the comprehensive energy system scheduling optimization module is used to establish an objective function with the reduction of total operating costs as the optimization goal and create constraints; the case analysis module is used to verify the effectiveness of the model.

[0019] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of a comprehensive energy low-carbon scheduling optimization method considering the entire life cycle and carbon capture.

[0020] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for optimizing low-carbon scheduling of integrated energy sources taking into account the entire life cycle and carbon capture.

[0021] Beneficial effects of the invention: The comprehensive energy low-carbon scheduling optimization method considering the whole life cycle and carbon capture provided by the invention evaluates the whole life cycle carbon emissions. The whole life cycle carbon emissions can promote the efficient utilization of renewable energy. The comprehensive energy system scheduling optimization can improve the comprehensive efficiency of the energy system and reduce resource waste. The present invention has achieved better results in reducing energy costs, improving economic benefits and further reducing carbon emissions, providing transition solutions for industries that are difficult to reduce emissions, and promoting the green transformation of the economy.

[0022] Attached picture says

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0024] Figure 1 An overall flow chart of a method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture is provided for the first embodiment of the present invention.

[0025] Figure 2 A structural diagram of an integrated energy system providing a first embodiment of the present invention that considers the entire life cycle and carbon capture integrated energy low-carbon scheduling optimization method.

[0026] Figure 3 A distribution diagram of wind energy, electric heat and gas loads is provided for a second embodiment of the present invention, which takes into account the entire life cycle and carbon capture integrated energy low-carbon scheduling optimization method. DETAILED DESCRIPTION

[0027] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0028] Example 1, reference Figure 1-Figure 2 , which is an embodiment of the present invention, provides a method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture, including:

[0029] S1: Assessing natural gas life cycle carbon emissions.

[0030] Furthermore, in the IES energy system, the fossil fuel used for CHP, GB and natural gas load is mainly natural gas, which produces greenhouse gases during use and leaks during mining and transportation. The entire life cycle of natural gas includes three main stages: extraction, transportation and use. Carbon emissions in the extraction stage include carbon emissions from the use of other energy sources, materials and methane leakage during the extraction process. Carbon emissions in the transportation stage include emissions from transportation methods, driving distances, and natural gas pipeline pressurization or liquefied natural gas transportation. Carbon emissions in the use stage are caused by the use of CHP, GB and gas load. Adding the carbon emissions of these three links, we can get the carbon emissions of natural gas in the entire life cycle in IES, as shown in formulas (1) and (2):

[0031] Q gas =Q gas,Ex +Q gas,Tr +Q gas,Op (1)

[0032]

[0033] Where: Q gas is the life cycle carbon emissions of natural gas, Q gas,Ex , Q gas,Tr and Q gas,Op Refers to the carbon emissions generated during the extraction, transportation and operation of natural gas. pw,c is the carbon emission factor for the type of energy used in mining. E pw,c is the amount of various energy used in the mining process. escape,gas is the carbon emission factor of natural gas leaked during natural gas extraction. escape,gas is the amount of natural gas leaked during extraction; η tsp,gas is the carbon emission factor leaked during transportation. tsp,gas is the amount of natural gas leaked during transportation. h,i It is the carbon emission factor of different modes of transportation during the transportation process. g is the natural gas transportation distance. use,gas is the carbon emission factor during the use of natural gas. use,gas is the amount of natural gas used.

[0034] S2: Evaluate the carbon emissions of the life cycle of electricity purchased from the power grid.

[0035] Furthermore, China's power generation system is complex. There are many different types of power generation facilities and energy sources, mainly including thermal power generation, hydropower generation, nuclear power, renewable energy and other energy generation. According to the report released by the state, the carbon dioxide emissions generated by purchasing electricity are shown in formula (3):

[0036] Q e =P e.buy *EF e (3)

[0037] Among them, Q e is the carbon emissions from using purchased electricity, P e.buy is the electricity purchased from the grid, EF e is the carbon emission coefficient of the power grid.

[0038] It should be noted that the carbon emissions of the power grid's electricity purchase life cycle mainly include the following stages:

[0039] Power generation stage: This is the main source of carbon emissions in the power supply chain. Different types of power generation methods will produce different carbon emissions. Coal-fired power generation; Transmission stage: Electricity from power plants to users needs to be transmitted through the transmission network. This process will also produce certain carbon emissions, which is mainly related to the efficiency of the transmission network and the energy consumed in the power transmission process; Distribution stage: Before electricity reaches the end user from the transmission network, it usually needs to pass through the distribution network. The operating efficiency of the distribution network directly affects the total carbon emissions of the power supply chain. An efficient distribution system can reduce power loss and thus reduce carbon emissions; User consumption stage: When users use electricity, if the equipment itself consumes a lot of energy (such as motors, air conditioners, heating equipment, etc.), it may indirectly increase the carbon emissions in the process of purchasing electricity from the power grid. In addition, consumers' electricity consumption behavior (such as electricity consumption during peak hours) will also affect the fluctuation of electricity demand, which in turn affects the way the power grid generates electricity and the level of carbon emissions.

[0040] S3: Assess the life cycle carbon emissions of the carbon capture system.

[0041] Furthermore, the carbon capture system consists of three main components: absorber, stripper and compressor. The carbonaceous flue gas is combined with the ethanolamine (MEA) solution in the absorber, and more than 90% of the carbon dioxide in the flue gas is removed, thereby producing a solvent rich in carbon dioxide. The solvent passes through a heat exchanger and enters the stripper, where high temperature and pressure cause the carbon dioxide to be released. After compression and purification, carbon dioxide with a purity of more than 99.5% is obtained for storage. In the stripper, the lean solvent containing a small amount of carbon dioxide is returned to the absorber through a heat exchanger to complete a capture cycle.

[0042] The carbon capture system will generate certain pollutant emissions and resource consumption during the equipment manufacturing, capture process and decommissioning process. The boundaries of the carbon capture system are defined, mainly including the construction, operation and decommissioning stages. The construction stage involves the construction of the capture equipment and compression device. The operation stage includes the energy and material losses during the capture and storage process. The decommissioning stage mainly considers the resource recovery process of the equipment.

[0043] The carbon emissions of the CCPP system include the energy consumption of electricity and steam input and the energy consumption of material input such as ethanolamine solvent and circulating cooling water consumption. After ultra-clean emission removal, CCPP captures 10kt / a of CO from the flue gas of the clean chimney flue every year, with a CO capture rate of 92.24% and a product gas CO2 mass fraction of 99.5%.

[0044]

[0045] Where Q ccpp Q is the carbon emission of the entire carbon capture system. ccpp,i Carbon emissions from all life stages of the carbon capture system.

[0046] S4: Evaluate the life cycle carbon emissions of wind power plants.

[0047] Furthermore, the wind power system boundary is from the acquisition and production of various raw materials of wind turbines to the recycling and disposal of equipment during retirement. The system boundary includes the four life stages of a wind farm, namely, wind turbine production and manufacturing stage, wind farm construction and equipment transportation stage, operation and maintenance stage, and retirement stage, such as:

[0048] Q wind =Q wind,install +Q wind,build +Q wind,OM +Q wind,retired (5)

[0049]

[0050] Among them, Q wind,install is the total greenhouse gas emissions in the life cycle, Q wind,install , Q wind,build , Q wind,OM , Q wind,retired are the greenhouse gas emissions during the equipment manufacturing stage, construction stage, operation and maintenance stage, and demolition and disposal stage, respectively. wind,i is the consumption of the i-th material, g wind,i is the carbon emission coefficient of the i-th material, m m,i is the mass of the i-th material and equipment, d m,i is the distance between the transport of the i-th material and the equipment, e m,i is the emission factor of transport vehicles, Q MC,i is the consumption of the i-th building material during the construction phase, g wind,i is the carbon emission coefficient of the first material, Q ME,i is the consumption of the i-th energy, E wind,i is the emission coefficient of the i-th energy consumption, Q retired,i is the consumption in each link of the decommissioning stage, g retired,i is the carbon emission coefficient of the corresponding link.

[0051] S5: Establish an integrated energy system scheduling optimization model.

[0052] Furthermore, the objective function is established by comprehensively considering CCPP fuel costs, carbon trading costs, grid electricity procurement costs, grid gas procurement costs, biomass fuel costs, carbon storage costs, interruptible load compensation costs, and P2G carbon costs to optimize the total operating cost:

[0053]

[0054]

[0055] Where a, b, c are CCPP fuel cost coefficients; e.t is the grid electricity price at time t; g.t is the gas price of the gas pipeline network; BG is the price of biomass fuel, which is 0.3 yuan / kg; CS is the CO2 benchmark price for energy storage units; cut Base price for interruptible load compensation; It is the benchmark price for purchased carbon.

[0056] It should be noted that the constraints are divided into: electricity, heat and gas storage constraints, biomass gas constraints and carbon capture power plant constraints.

[0057] Power, heat and gas storage constraints:

[0058]

[0059] in, and represents the charging and discharging power of the nth energy storage device at time t; Indicates the maximum charge and discharge power of the nth energy storage device; and represents the working state of the nth energy storage device at time t; S n.t represents the storage energy of the nth energy storage device at time t; and Represents the charging and discharging efficiency of the nth type of energy storage device.

[0060] Biomass gas constraints:

[0061]

[0062] Carbon capture power plant constraints:

[0063]

[0064] Example 2, reference Figure 3 , which is an embodiment of the present invention, provides an optimization method for low-carbon scheduling of comprehensive energy considering the whole life cycle and carbon capture. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0065] First, in order to verify the effectiveness of the model proposed in this paper, we take a 24-hour cycle and a step length of 1 hour as an example for analysis. The wind power output and power, heat, and gas load curves in the system are as follows: Figure 3As shown in the figure, the natural gas price is 0.35 yuan / (kW.h); the base price for purchasing carbon is 0.84 yuan / kg; the base price for storing carbon is 34 yuan / t; and the proportion of electricity load that can be reduced is 10%.

[0066] In order to verify the economy and low-carbon nature of IES after the introduction of biomass gas and carbon capture power plants, as well as the impact of the step-by-step negative carbon trading mechanism on the optimal operation of the model proposed in this paper, three scenarios are set up for analysis.

[0067] Scenario 1: Under the framework of the tiered carbon trading mechanism, IES considers P2G-CCPP coupling.

[0068] Scenario 2: Under the framework of the tiered carbon trading mechanism, IES considers BNG-P2G coupling.

[0069] Scenario 3: IES considers BNG-P2G-CCPP coupling under the framework of a tiered carbon trading mechanism.

[0070] The optimized scheduling results of scenarios 1 to 3 are shown in Table 1.

[0071] Table 1 Comparison of optimization scheduling results

[0072]

[0073] Refer to Table 1 and Figure 3 It can be seen that scenarios 1, 2, and 3 are used to evaluate the inherent advantages of the BNG-CCPP-P2G integrated operation model disclosed in this study. As can be seen from Table 1, scenario 2 takes into account BNG, allowing the system to purchase more economical natural gas through this scenario, thereby alleviating the pressure on the superior natural gas network infrastructure. Therefore, by parallel calculation, the natural gas procurement expenditure of scenario 2 is reduced by 1,862.9 yuan. On the contrary, since scenario 2 does not adopt CCPP, the system can only meet the demand for power load by increasing the amount of electricity purchased from the power grid; at the same time, it is impossible to capture carbon dioxide through carbon sequestration, which not only increases the necessity for P2G to obtain carbon raw materials from the outside, but also expands the actual carbon emission level of the system. Therefore, compared with scenario 1, scenario 2 increases the expenditure on purchased electricity by 3,077.1 yuan and increases carbon emissions by 2,902.4 kg, resulting in a net increase of 3,142.2 yuan in overall costs.

[0074] Compared with Scenario 1, the introduction of the biogas (BNG) model in Scenario 3 leads to a relatively low price for biomass gas. Therefore, this scenario expands the output of gas-fired devices to maximize their economic potential. At the same time, in this scenario, the carbon sequestration of the carbon capture power plant increases, and the overall carbon emissions of the system are significantly reduced by 486.3 kg compared with Scenario 1. The resulting savings reduce the total cost by 468.4 yuan, thereby improving the practicality and profitability of system operation.

[0075] In addition, compared with Scenario 2, the cost of Scenario 3 is significantly reduced, by 3,610.6 yuan. The main reason for the cost reduction is that the carbon capture power plant (CCPP) is adopted in Scenario 3, which can meet part of the power demand of the system. Therefore, the organization minimizes the purchase of electricity from the external power grid, thereby reducing the expenditure on electricity procurement by 3,481.2 yuan. At the same time, the ability of Scenario 3 to accumulate carbon dioxide through carbon capture enables it to use these gases to produce renewable natural gas (P2G), thereby greatly reducing the purchase of biomass gas. In the end, compared with Scenario 2, the cost associated with biomass fuel was reduced by another 1,298.5 yuan, while carbon emissions were also reduced by 3,388.7 kg. In addition, considering that the actual carbon emissions of Scenario 3 are still lower than the quota initially allocated, carbon credits are sold to the outside, which has a positive offsetting effect on the carbon trading cost of the system, that is, -6.5 yuan. According to the academic paper, this actually reduces the carbon trading cost of the system to -691.1 yuan.

[0076] Embodiment 3 is an embodiment of the present invention, which provides a comprehensive energy low-carbon scheduling optimization system considering the whole life cycle and carbon capture, including a whole life cycle carbon emission module, a comprehensive energy system scheduling optimization module, and a case analysis module;

[0077] The full life cycle carbon emission module is used to evaluate the carbon emission of natural gas life cycle, the carbon emission of power grid purchase life cycle, the carbon emission of carbon capture system life cycle and the carbon emission of wind power station life cycle. The integrated energy system scheduling optimization module is used to establish an objective function with the optimization goal of reducing total operating costs and create constraints. The example analysis module is used to verify the effectiveness of the model.

[0078] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0079] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0080] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0081] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0082] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing low-carbon scheduling of comprehensive energy sources considering the entire life cycle and carbon capture, characterized in that: include: Assessing natural gas life cycle carbon emissions; Assess the life cycle carbon emissions of electricity purchased from the power grid; Assessing life cycle carbon emissions from carbon capture systems; Assessing the life cycle carbon emissions of wind power plants; Establish a comprehensive energy system scheduling optimization model.

2. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 1, characterized in that: The assessment of carbon emissions during the life cycle of natural gas includes adding the carbon emissions during the extraction phase, the transportation phase, and the use phase to obtain the carbon emissions during the entire life cycle of natural gas in IES.

3. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 2, characterized in that: The assessment of the life cycle carbon emissions of power purchases from the grid includes the complex structure of China's power generation system. There are many different types of power generation facilities and energy sources, mainly including thermal power generation, hydropower generation, nuclear power, renewable energy and other energy generation. According to the report released by the state, the carbon dioxide emissions generated by purchasing electricity are expressed as: Q e =P e.buy *EF e (3) Among them, Q e is the carbon emissions from using purchased electricity, P e.buy is the electricity purchased from the grid, EF e is the carbon emission coefficient of the power grid.

4. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 3, characterized in that: The assessment of carbon capture system life cycle carbon emissions includes certain pollutant emissions and resource consumption during equipment manufacturing, capture process and decommissioning. The boundaries of the carbon capture system are defined, mainly including construction, operation and decommissioning stages. The construction stage involves the construction of capture equipment and compression devices. The operation stage includes energy and material losses during capture and storage. The decommissioning stage mainly considers the resource recovery process of the equipment; The carbon emissions of the CCPP system include the energy consumption of electricity and steam inputs as well as the energy consumption of material inputs such as ethanolamine solvent and circulating cooling water consumption.

5. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 4, characterized in that: The assessment of carbon emissions during the life cycle of a wind power station includes the wind power system boundary, which is from the acquisition and production of various raw materials for wind turbines to the recycling and disposal of equipment during retirement; the system boundary includes the four life stages of a wind farm, namely, the wind turbine production and manufacturing stage, the wind farm construction and equipment transportation stage, the operation and maintenance stage, and the retirement stage.

6. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 5, characterized in that: The establishment of the integrated energy system scheduling optimization model includes establishing an objective function; Taking into account CCPP fuel costs, carbon trading costs, grid electricity procurement costs, grid gas procurement costs, biomass fuel costs, carbon storage costs, interruptible load compensation costs, and P2G carbon costs, an objective function with the optimization goal of reducing total operating costs was established.

7. The method for optimizing low-carbon scheduling of comprehensive energy sources taking into account the entire life cycle and carbon capture as claimed in claim 6, characterized in that: The establishment of the integrated energy system scheduling optimization model includes adding constraints; including power, heat and gas storage constraints, biomass gas constraints, and carbon capture power plant constraints.

8. A system using the method for optimizing the low-carbon scheduling of comprehensive energy with full life cycle and carbon capture as described in any one of claims 1 to 7, characterized in that: Including full life cycle carbon emission module, integrated energy system scheduling optimization module, and case analysis module; The full life cycle carbon emission module is used to evaluate the life cycle carbon emission of natural gas, the life cycle carbon emission of power grid purchase, the life cycle carbon emission of carbon capture system and the life cycle carbon emission of wind power station; The integrated energy system scheduling optimization module is used to establish an objective function with the optimization goal of reducing the total operating cost and create constraint conditions; The example analysis module is used to verify the effectiveness of the model.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for optimizing low-carbon scheduling of integrated energy considering the entire life cycle and carbon capture as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing low-carbon scheduling of integrated energy considering the entire life cycle and carbon capture are implemented as described in any one of claims 1 to 7.

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