Capacity configuration method, system, equipment and medium for new energy hydrogen production of ammonia alcohol

Abstract

The invention relates to the technical field of power system planning, in particular to a capacity configuration method, system and device for new energy hydrogen production ammonia alcohol and a medium, and the method comprises the steps: obtaining output target requirement data, performance constraint and investment parameters of a researched new energy hydrogen production ammonia alcohol integrated system; determining an optimization objective function by taking economical efficiency optimization as an objective; according to the physical process of the new energy hydrogen production ammonia alcohol integrated project, a mathematical optimization model is established, the mathematical optimization model is solved based on constraint conditions of the mathematical optimization model, and various power capacity scales are obtained. The method is convenient and fast in calculation.

Description

Technical Field

[0001] The present invention relates to the technical field of power system planning, and in particular to a capacity configuration method, system, equipment and medium for producing hydrogen ammonia from new energy. Background Art

[0002] As a clean and storable energy source, hydrogen energy has great development potential in the field of new energy and renewable energy. The synthetic ammonia industry is a chemical industry with high carbon emissions in my country, and the green ammonia production process is close to "zero carbon", which helps to achieve the "dual carbon" goal. Vigorously developing green alcohol can also promote the green and low-carbon transformation of the methanol industry. In recent years, ammonia alcohol produced through new energy has developed rapidly. However, in the planning stage, it is a complex issue to reasonably determine the reasonable scale of wind power, photovoltaics, electric energy storage, hydrogen production electrolyzers, hydrogen storage devices, etc., which requires consideration of multiple factors, including resource endowment, electricity-hydrogen coupling, electricity storage and hydrogen storage coordination, and technical operation characteristics. Therefore, it is necessary to conduct comprehensive research and analysis to determine the capacity configuration of new energy hydrogen production ammonia alcohol considering hydrogen storage, comprehensively consider multiple factors, and perform optimization calculations to provide a reference for planning and design. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a capacity configuration method, system, equipment and medium for a new energy hydrogen production ammonia alcohol in view of the deficiencies in the above-mentioned prior art, which is used to determine the reasonable scale of wind power, photovoltaic, electric energy storage and hydrogen production electrolyzer, hydrogen storage device, etc., and provide a reference for planning and design.

[0004] The objective of the present invention is achieved by the following technical solutions:

[0005] In a first aspect, the present invention provides a capacity configuration method for a new energy hydrogen production ammonia alcohol, comprising:

[0006] Obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system being studied;

[0007] Taking economic optimization as the goal, determine the optimization objective function;

[0008] According to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, a mathematical optimization model is established. Based on the constraints of the mathematical optimization model, the mathematical optimization model is solved to obtain the capacity scales of various power sources and the corresponding operating results.

[0009] As a further improvement of the present invention, a mathematical optimization model is established according to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, which specifically includes:

[0010] f=Min(C a +C b +C d )

[0011] C a =C W ×ω 1 +C S ×ω 2 +C E ×ω 3

[0012]

[0013] In the formula, C a is the annual cost of the electrical link; C b is the annual cost of hydrogen link; C d The cost of purchasing electricity from the main grid; C W is the installed capacity of wind power; 1 is the annual fee coefficient of wind power; C S is the photovoltaic installed capacity; C E is the installed capacity of electric energy storage; 2 is the photovoltaic annual fee coefficient; ω 3 is the annual fee coefficient for electric energy storage; is the installed capacity of hydrogen production; C H is the hydrogen energy storage power; E H is the hydrogen energy storage energy; 4 is the annual cost coefficient of hydrogen production; ω 5 is the annual cost coefficient of hydrogen energy storage; ω 6 is the annual cost coefficient of hydrogen energy storage; The amount of electricity purchased from the main network, μ 1 The electricity purchase price.

[0014] As a further improvement of the present invention, in the mathematical optimization model, the total power generation constraint on the electrical link is:

[0015]

[0016] In the formula, E E is the total power generation, η 1 is the ratio of target power generation to total power generation of hydrogen load; is the wind power load power at time t; is the photovoltaic load power at time t.

[0017] As a further improvement of the present invention, the total power generation constraint of the electric link includes electric power balance constraint, wind power and photovoltaic output constraint and electric energy storage constraint:

[0018] The electric power balance constraint is:

[0019]

[0020] Wind power and photovoltaic output constraints are:

[0021]

[0022] The electric energy storage constraint is:

[0023] E E =C E *T E

[0024]

[0025] In the formula, They represent the wind power load power, photovoltaic load power, electric energy storage load power, main grid power load power and hydrogen production load power at time t respectively; are the wind power resource input data and photovoltaic resource input data at time t; C W and C S E is the installed capacity of wind power and photovoltaic power respectively; E is the energy of electrical storage, T E The duration of electrical energy storage, and are the energy of the electric energy storage at time t and time t-1, E effic Charging efficiency for electrical energy storage; and are 0-1 integer variables representing the charge and discharge states of the energy storage at time t, and are the discharge power and charging power of the energy storage at time t respectively.

[0026] As a further improvement of the present invention, in the mathematical optimization model, the total amount of hydrogen load constraint on the hydrogen link is:

[0027]

[0028] In the formula, is the power of the hydrogen ammonia load at time t; E CHE is the total hydrogen load.

[0029] As a further improvement of the present invention, the total hydrogen load constraint on the hydrogen link includes hydrogen power balance constraint, hydrogen power upper and lower limit constraints and hydrogen energy storage constraint:

[0030] The hydrogen power balance constraint is:

[0031]

[0032] The upper and lower limits of hydrogen power are:

[0033]

[0034] The hydrogen storage constraints are:

[0035] E H =C H *T H

[0036]

[0037]

[0038] In the formula, is the power of hydrogen energy storage, is the power of ammonia alcohol loading; are the upper and lower limits of hydrogen power, E is the upper and lower limits of ammonia load power; H is the energy stored in hydrogen, T H The duration of hydrogen storage, and are the energy of hydrogen storage at time t and time t-1, H effic The hydrogen charging efficiency for hydrogen energy storage; and are 0-1 integer variables of the hydrogen energy storage charging and discharging states at time t, and are the discharge power and charging power of hydrogen energy storage at time t, C H The scale of hydrogen energy storage.

[0039] As a further improvement of the present invention, the conditions satisfied by the discharge power and charging power of hydrogen energy storage and the hydrogen production load power in the hydrogen energy storage constraint are:

[0040]

[0041] In the formula, The amount of electricity purchased from the main network, η 2 is the ratio of target grid-connected electricity to total hydrogen load; E CHE is the total hydrogen load.

[0042] In a second aspect, the present invention provides a capacity configuration system for producing hydrogen from ammonia using a new energy source, which is used to implement the capacity configuration method for producing hydrogen from ammonia using a new energy source, comprising:

[0043] The data acquisition module is used to obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system under study;

[0044] A model building module is used to determine the optimization objective function with the goal of economic optimization;

[0045] The capacity configuration module is used to establish a mathematical optimization model based on the physical process of the new energy hydrogen-ammonia-alcohol integrated project, solve the mathematical optimization model based on the constraints of the mathematical optimization model, and obtain the capacity scale of various power sources and the corresponding operation results.

[0046] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute the above-mentioned capacity configuration method for producing hydrogen ammonia from new energy.

[0047] In a fourth aspect, the present invention provides a computing device, comprising:

[0048] One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the capacity configuration method of the above-mentioned new energy hydrogen production ammonia.

[0049] The beneficial effects of the present invention are as follows: the capacity configuration method of the new energy hydrogen ammonia production provided by the present invention can minimize the total cost of the new energy hydrogen ammonia production process and improve the economic benefits and market competitiveness of the project by solving the optimal capacity scale configuration through the optimization model. Ensure the energy matching between the new energy power generation and the hydrogen ammonia production process, improve energy utilization efficiency, reduce energy waste, and also help to improve the level of new energy consumption. The present invention takes into account the constraints of market demand so that the produced hydrogen ammonia products can be stably supplied to the market, meet user needs, and be conducive to the stable development of the industry. The new energy hydrogen ammonia production process itself has low carbon emissions. Through optimized configuration, its environmental benefits can be further improved. Under the requirements of hydrogen and electricity consumption of the integrated project, with the goal of optimal economic efficiency, the output characteristics and operation requirements of each component are considered to obtain the optimal capacity configuration plan. At the same time, this optimization method has the characteristics of convenient and fast calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 It is a flow chart of a method for configuring the capacity of a new energy source for producing hydrogen ammonia considering hydrogen storage in an embodiment of the present invention;

[0052] Figure 2This is a schematic diagram of a typical daily production simulation of hydrogen production in an integrated project according to an embodiment of the present invention;

[0053] Figure 3 1. It is a typical day-by-hour schematic diagram of the integrated project hydrogen supply system of an embodiment of the present invention;

[0054] Figure 4 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose and technical solution of the present invention clearer and easier to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, wherein the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0057] Example 1

[0058] like Figure 1-Figure 3 As shown, this embodiment provides a capacity configuration method for producing hydrogen ammonia from new energy. The following is a specific implementation method.

[0059] Obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system under study. In this embodiment, the new energy hydrogen-ammonia-alcohol integrated system includes a wind power device, a photovoltaic device, an energy storage device, and a hydrogen production and storage device. The output target requirement data includes the annual hydrogen consumption and the annual electricity consumption. The investment parameters include the wind power unit kilowatt investment and the annual fee coefficient.

[0060] In addition, this embodiment also collects data such as output target requirements, performance constraints and investment parameters of the integrated system under study.

[0061] For example, the installed capacity of new energy is 500,000 kilowatts of wind power, and there is no photovoltaic power. The theoretical output of new energy is 8760 per unit value sequence, and the annual utilization hours are 2854.

[0062] The average annual hydrogen supply of the back-end chemical load of this integrated project is 22100Nm 3 / h, running for 8000 hours, the maximum and minimum hourly hydrogen supply are 27700Nm 3 / h and 8500Nm 3 / h. The comprehensive electricity consumption of hydrogen production in the first standard is 5.3kWh. After considering the auxiliary power consumption, the total annual electricity consumption and hydrogen production power is 1.0261 billion kWh. The hydrogen supply load power is 45,060-146,810 kilowatts. The variable load operation range of the hydrogen production station is about 20%-100%.

[0063] The annual cost coefficient of wind power is 374 yuan / kW, and the annual cost coefficient of electric energy storage is 448 yuan / kW for 4 hours, with an efficiency of 81%. The annual cost coefficient of hydrogen production is 150 yuan / kW, and the cost of purchased electricity is 1 yuan / kWh. The cost of hydrogen storage is 4 yuan / kWh.

[0064] With the goal of optimal economic performance, determine the optimization objective function.

[0065] In this embodiment, according to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, with the goal of optimal economic efficiency, a mathematical optimization model is established to simulate 8760 hours per year.

[0066] Taking the minimization of the cost of the new energy hydrogen production process as the goal, a mathematical optimization model is established as follows:

[0067] f=Min(C a +C b +C d )

[0068] C a =C W ×ω 1 +C S ×ω 2 +C E ×ω 3

[0069]

[0070] In the formula, C a is the annual cost of the electrical link; C b is the annual cost of hydrogen link; C d The cost of purchasing electricity from the main grid; C W is the installed capacity of wind power; 1 is the annual fee coefficient of wind power; C S is the photovoltaic installed capacity; C E is the installed capacity of electric energy storage; 2 is the photovoltaic annual fee coefficient; ω 3 is the annual fee coefficient for electric energy storage; is the installed capacity of hydrogen production; C H is the hydrogen energy storage power; E H is the hydrogen energy storage energy; 4 is the annual cost coefficient of hydrogen production; ω 5 is the annual cost coefficient of hydrogen energy storage; ω 6 is the annual cost coefficient of hydrogen energy storage; The amount of electricity purchased from the main network, μ 1 The electricity purchase price.

[0071] In this embodiment, the wind power installed capacity is 50, the wind power annual cost coefficient is 374, the photovoltaic installed capacity is 0, and the electric energy storage annual cost coefficient is set to 448. The hydrogen production annual cost coefficient is set to 150, the hydrogen energy storage annual cost coefficient is set to 1, the hydrogen energy storage annual cost coefficient is set to 4, and the electricity purchase price is 1.

[0072] According to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, a mathematical optimization model is established. Based on the constraints of the mathematical optimization model, the mathematical optimization model is solved to obtain the capacity scale of various power sources.

[0073] In the mathematical optimization model, there are many constraints considered, among which the total power generation constraint on the electrical link is:

[0074]

[0075] In the formula, E E is the total power generation, η 1 is the ratio of target power generation to total power generation of hydrogen load; is the wind power load power at time t; is the photovoltaic load power at time t. 1 is 1.2.

[0076] The total power generation constraints in the power sector include power balance constraints, wind power and photovoltaic output constraints, and electric energy storage constraints:

[0077] The electric power balance constraint is:

[0078]

[0079] In the formula, They respectively represent the wind power load power, photovoltaic load power, electric energy storage load power, main grid purchased electricity load power and hydrogen production load power at time t.

[0080] Wind power and photovoltaic output constraints are:

[0081]

[0082] In the formula, are the wind power resource input data and photovoltaic resource input data at time t; C W and C S They are the installed capacity of wind power and photovoltaic power respectively.

[0083] The electric energy storage constraint is:

[0084]

[0085] in, and are 0-1 integer variables representing the charge and discharge states of the energy storage at time t, and are the discharge power and charging power of the energy storage at time t respectively.

[0086] E E =C E *T E

[0087]

[0088] In the formula, E E is the energy of electrical storage, T E The duration of electrical energy storage, and are the energy of the electric energy storage at time t and time t-1, E effic is the charging efficiency of the electric energy storage; t is the 1st to 8760th moment. W and C S 500,000 and 100,000 kilowatts respectively.

[0089] The total hydrogen load constraint for the hydrogen link is:

[0090]

[0091] In the formula, is the power of the hydrogen ammonia load at time t; E CHE is the total hydrogen load.

[0092] The total hydrogen load constraints for the hydrogen link include hydrogen power balance constraints, hydrogen power upper and lower limit constraints, and hydrogen energy storage constraints:

[0093] The hydrogen power balance constraint is:

[0094]

[0095] In the formula, is the power of hydrogen energy storage, is the power of ammonia loading.

[0096] The upper and lower limits of hydrogen power are:

[0097]

[0098] In the formula, are the upper and lower limits of hydrogen power, is the upper and lower limits of the ammonia alcohol load power. In this embodiment, is 0.2, They are 146,810 kilowatts and 45,100 kilowatts respectively.

[0099] The hydrogen storage constraints are:

[0100]

[0101] In the formula, E H is the energy stored in hydrogen, T H The duration of hydrogen storage, and are the energy of hydrogen storage at time t and time t-1, H effic It is the hydrogen charging efficiency of hydrogen energy storage.

[0102] E H =C H *T H

[0103]

[0104] In the formula, and are 0-1 integer variables of the hydrogen energy storage charging and discharging states at time t, and are the discharge power and charging power of hydrogen energy storage at time t, C H The scale of hydrogen energy storage.

[0105] Annual grid power consumption constraints:

[0106]

[0107] Where η 2 is the ratio of the required grid-connected electricity to the total hydrogen load. 2 is 15%.

[0108] After solving the above model, the calculation results are as follows: the hydrogen production scale of the project is 176,900 kW, the electrochemical energy storage is 34,300 kW / 137,000 kWh, and the hydrogen storage tank scale is 342,000 Nm 3 The annual power generation of renewable energy is 1.427 billion kWh, the load is 1.198 billion kWh, the power generation of renewable energy is 1.19 / load, the online power of integrated projects is 223 million kWh, the online power ratio is 15.6%, the offline power is 35 million kWh, the offline power ratio is 2.88%.

[0109] Example 2

[0110] This embodiment also provides a capacity configuration system for producing hydrogen from new energy sources, which is used to implement the capacity configuration method for producing hydrogen from new energy sources in Embodiment 1, including:

[0111] The data acquisition module is used to obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system under study;

[0112] A model building module is used to determine the optimization objective function with the goal of economic optimization;

[0113] The capacity configuration module is used to establish a mathematical optimization model based on the physical process of the new energy hydrogen-ammonia-alcohol integrated project, solve the mathematical optimization model based on the constraints of the mathematical optimization model, and obtain the capacity scale of various power sources.

[0114] The specific implementation methods of each module have been described in Example 1 and will not be repeated here.

[0115] Example 3

[0116] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device, and can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that more specific examples (non-exhaustive list) of the computer-readable storage medium here include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0117] Computer readable storage media also include data signals propagated in baseband or as part of a carrier wave, which carry readable program codes. Such propagated data signals can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than a readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0118] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0119] One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the capacity configuration method for producing hydrogen ammonia from new energy in the above embodiment; one or more instructions in the computer-readable storage medium may be loaded and executed by a processor as follows:

[0120] Obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system being studied;

[0121] Taking economic optimization as the goal, determine the optimization objective function;

[0122] According to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, a mathematical optimization model is established. Based on the constraints of the mathematical optimization model, the mathematical optimization model is solved to obtain the capacity scale of various power sources.

[0123] Example 4

[0124] See also Figure 4 , the terminal device is a computer device, and the computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the capacity configuration method of the new energy hydrogen production ammonia alcohol in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the computing system in the capacity configuration method of the new energy hydrogen production ammonia alcohol in Example 1 are implemented. To avoid repetition, it is not described one by one here.

[0125] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 4This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0126] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0127] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the computer device 60.

[0128] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0129] Any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0130] 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.

Claims

1. A capacity configuration method for ammonia production from new energy, characterized in that: include: Obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system being studied; Taking economic optimization as the goal, determine the optimization objective function; According to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, a mathematical optimization model is established. Based on the constraints of the mathematical optimization model, the mathematical optimization model is solved to obtain the capacity scales of various power sources and the corresponding operating results.

2. The capacity configuration method of the new energy hydrogen production ammonia alcohol according to claim 1 is characterized in that: According to the physical process of the new energy hydrogen-ammonia-alcohol integrated project, a mathematical optimization model is established, including: f=Min(C a +C b +C d ) C a =C W ×ω1+C S ×ω2+C E ×ω3 In the formula, C a is the annual cost of the electrical link; C b is the annual cost of hydrogen link; C d The cost of purchasing electricity from the main grid; C W is the installed capacity of wind power; ω1 is the annual fee coefficient of wind power; C S is the photovoltaic installed capacity; C E is the installed capacity of electric energy storage; ω2 is the annual fee coefficient of photovoltaic power generation; ω3 is the annual fee coefficient of electric energy storage; is the installed capacity of hydrogen production; C H is the hydrogen energy storage power; E H is the hydrogen energy storage capacity; ω4 is the annual cost coefficient of hydrogen production; ω5 is the annual cost coefficient of hydrogen energy storage; ω6 is the annual cost coefficient of hydrogen energy storage; is the amount of electricity purchased for the main grid, and μ1 is the purchase price.

3. The capacity configuration method of the new energy hydrogen production ammonia alcohol according to claim 2 is characterized in that: In the mathematical optimization model, the total power generation constraint of the electrical link is: In the formula, E E is the total power generation, η1 is the ratio of the target power generation to the total power generation of hydrogen load; is the wind power load power at time t; is the photovoltaic load power at time t.

4. The capacity configuration method for producing hydrogen from ammonia with new energy according to claim 3 is characterized in that: The total power generation constraints in the power sector include power balance constraints, wind power and photovoltaic output constraints, and electric energy storage constraints: The electric power balance constraint is: Wind power and photovoltaic output constraints are: The electric energy storage constraint is: E E =C E *T E In the formula, They represent the wind power load power, photovoltaic load power, electric energy storage load power, main grid power load power and hydrogen production load power at time t respectively; are the wind power resource input data and photovoltaic resource input data at time t; C W and C S E is the installed capacity of wind power and photovoltaic power respectively; E is the energy of electrical storage, T E The duration of energy storage. and are the energy of the electric energy storage at time t and time t-1, E effic Charging efficiency for electrical energy storage; and are 0-1 integer variables representing the charge and discharge states of the energy storage at time t, and are the discharge power and charging power of the energy storage at time t respectively.

5. The capacity configuration method of the new energy hydrogen production ammonia alcohol according to claim 2 is characterized in that: In the mathematical optimization model, the total hydrogen load constraint for the hydrogen link is: In the formula, is the power of the hydrogenamine load at time t; E CHE is the total hydrogen load.

6. The capacity configuration method for producing hydrogen from ammonia with new energy according to claim 5, characterized in that: The total hydrogen load constraints for the hydrogen link include hydrogen power balance constraints, hydrogen power upper and lower limit constraints, and hydrogen energy storage constraints: The hydrogen power balance constraint is: The upper and lower limits of hydrogen power are: The hydrogen storage constraints are: E H =C H *T H In the formula, is the power of hydrogen energy storage, is the power of ammonia alcohol loading; are the upper and lower limits of hydrogen power, E is the upper and lower limits of ammonia load power; H is the energy stored in hydrogen, T H The duration of hydrogen storage, and are the energy of hydrogen storage at time t and time t-1, H effic The hydrogen charging efficiency for hydrogen energy storage; and are 0-1 integer variables of the hydrogen energy storage charging and discharging states at time t, and are the discharge power and charging power of hydrogen energy storage at time t, C H The scale of hydrogen energy storage.

7. The capacity configuration method of new energy hydrogen production ammonia according to claim 2 is characterized in that: The conditions satisfied by the discharge power and charging power of hydrogen energy storage and the hydrogen production load power in the hydrogen energy storage constraint are: In the formula, is the amount of electricity purchased from the main grid, η2 is the ratio of the target off-grid electricity to the total hydrogen load; E CHE is the total hydrogen load.

8. A capacity configuration system for ammonia produced from new energy, used to implement the capacity configuration method for ammonia produced from new energy according to any one of claims 1 to 7, characterized in that: include: The data acquisition module is used to obtain the output target requirement data, performance constraints and investment parameters of the new energy hydrogen-ammonia-alcohol integrated system under study; A model building module is used to determine the optimization objective function with the goal of economic optimization; The capacity configuration module is used to establish a mathematical optimization model based on the physical process of the new energy hydrogen-ammonia-alcohol integrated project, solve the mathematical optimization model based on the constraints of the mathematical optimization model, and obtain the capacity scale of various power sources and the corresponding operation results.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute the capacity configuration method for producing hydrogen from ammonia with new energy as described in any one of claims 1 to 7.

10. A computing device, characterized in that include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the capacity configuration method of the new energy hydrogen production ammonia alcohol according to any one of claims 1 to 7.

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