A capacity configuration optimization method, apparatus, equipment, medium, and program product.

Abstract

This invention relates to the field of power system technology and discloses a capacity configuration optimization method, apparatus, equipment, medium, and program product. By acquiring multiple operating models and multiple installed capacity values, this invention establishes a synthetic ammonia production capacity relationship, enabling a comprehensive understanding of the operating characteristics and possible configurations of each part of the system. This, in turn, allows for the quantification of the relationship between synthetic ammonia production capacity and various system factors. Furthermore, by establishing total investment cost and total operation and maintenance cost relationships, the cost composition of the system in terms of investment and operation and maintenance can be clearly understood. Moreover, by establishing an objective function with the goal of minimizing the sales value of synthetic ammonia and solving it using a genetic algorithm, the capacity configuration of the system can be optimized as a whole. Therefore, the capacity configuration optimization result obtained in this way can achieve optimal economic efficiency for a renewable energy hydrogen production, synthetic ammonia, and hydrogen power generation system while ensuring system safety and reliability.

Description

Technical Field

[0001] This invention relates to the field of power system technology, specifically to a capacity configuration optimization method, apparatus, equipment, medium, and program product. Background Technology

[0002] Traditional ammonia synthesis processes rely primarily on fossil fuels such as coal and natural gas as raw materials. This not only leads to high carbon emissions but also makes the cost of ammonia synthesis susceptible to fluctuations in fossil fuel prices. Utilizing renewable energy sources (such as solar and wind power) to produce hydrogen, and then combining it with nitrogen to synthesize ammonia, achieves a low-carbon or even zero-carbon emission process throughout the entire production process, aligning with current development trends.

[0003] However, hydrogen production and ammonia synthesis systems based on renewable energy need to adapt to the volatility and intermittency of renewable energy sources, while also meeting the safety requirements of hydrogen production and ammonia synthesis. In particular, in new power systems with a high proportion of renewable energy, the grid connection space for renewable energy power generation is limited, making off-grid renewable energy hydrogen production and ammonia synthesis systems an important development direction. Due to the lack of grid support, to ensure the safety and reliability of the hydrogen production and ammonia synthesis systems, hydrogen power generation systems and electrochemical energy storage systems can be added as flexible backup power sources to provide guaranteed power to compressors, pumps, valves, instruments, and control systems of the hydrogen production and ammonia synthesis (including air separation nitrogen production) systems, thus ensuring the safety of critical infrastructure. However, the high investment cost of the entire system will increase the cost of ammonia synthesis. Therefore, to achieve the industrialization of green ammonia based on renewable energy, it is first necessary to improve the cost competitiveness of green ammonia, thus urgently requiring optimization of system capacity configuration to achieve the optimal economic efficiency of renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation systems. Summary of the Invention

[0004] In view of this, the present invention provides a capacity configuration optimization method, apparatus, equipment, medium and program product to solve the problem of low system safety and reliability caused by the capacity configuration optimization of each unit during the coupled operation of renewable energy hydrogen production and ammonia synthesis systems and hydrogen power generation systems.

[0005] In a first aspect, the present invention provides a capacity configuration optimization method for a control system, the control system being connected to a renewable energy-based hydrogen production and ammonia synthesis coupled hydrogen power generation system; the method includes:

[0006] Multiple operating models and installed capacity values ​​for a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system are obtained. Based on these values ​​and models, ammonia production capacity relationship is established. The total investment cost and total operation and maintenance cost relationships are also established. With the goal of minimizing the ammonia sales value, an objective function is established based on the ammonia production capacity, total investment cost, and total operation and maintenance cost relationships. The multiple installed capacity values ​​are encoded as chromosomes for a genetic algorithm, and the objective function is solved using this algorithm to obtain the capacity configuration optimization results for the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0007] The capacity configuration optimization method provided by this invention, by acquiring multiple operating models and installed capacity values ​​of a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system, can comprehensively understand the operating characteristics and possible configurations of each part of the system. Furthermore, by establishing a synthetic ammonia production capacity relationship based on the acquired information, the relationship between synthetic ammonia production capacity and various system factors can be quantified. Furthermore, by establishing total investment cost and total operation and maintenance cost relationships, the cost composition of the system in terms of investment and operation and maintenance can be clearly understood. Furthermore, by establishing an objective function with the goal of minimizing the sales value of synthetic ammonia and solving it using a genetic algorithm, the capacity configuration of the system can be optimized as a whole. Therefore, the capacity configuration optimization result obtained in this way can achieve optimal economic efficiency for the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system while ensuring system safety and reliability, thus promoting the industrialization of green ammonia based on renewable energy.

[0008] In one optional implementation, the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system includes a renewable energy power generation unit; based on multiple installed capacity values ​​and multiple operating models, a formula for the ammonia production capacity of the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system is established, including:

[0009] Multiple installed capacity values ​​are determined based on multiple installed capacity scale values; based on multiple installed capacity scale values ​​and multiple installed power values, a renewable energy power generation relationship formula is established for renewable energy power generation units; based on multiple installed power values, multiple operating models, and renewable energy power generation relationship formula, a synthetic ammonia production capacity relationship formula is established.

[0010] The capacity configuration optimization method provided by this invention determines multiple installed power values ​​based on multiple installed capacity scale values, further clarifying the power parameters of each device in the system. This more accurately reflects the actual working capacity of each part of the system and provides a more precise basis for the rational configuration of system capacity. Furthermore, establishing a relationship between renewable energy power generation and installed capacity scale values ​​helps to understand the correlation between renewable energy power generation and other system factors, thereby better grasping the variation law of its power generation, thus more effectively promoting the consumption of renewable energy, improving energy utilization efficiency, and reducing energy waste.

[0011] In one optional implementation, a synthetic ammonia production capacity relationship is established based on multiple installed capacity values, multiple operating models, and renewable energy power generation relationship formulas, including:

[0012] Based on multiple installed capacity values, multiple operating models, and the relationship between renewable energy power generation, a formula for the hydrogen consumption rate of ammonia synthesis is established; based on the formula for the hydrogen consumption rate of ammonia synthesis, a formula for the ammonia synthesis production capacity is established.

[0013] The capacity configuration optimization method provided by this invention establishes a relationship between the hydrogen consumption rate in ammonia synthesis based on multiple installed power values, multiple operating models, and the relationship between renewable energy power generation. This clarifies the relationship between hydrogen consumption during ammonia synthesis and various system factors, which is crucial for rationally planning hydrogen production and supply, ensuring the continuity and stability of ammonia synthesis production, and also helps optimize the system's energy utilization efficiency and reduce production costs. Furthermore, based on the hydrogen consumption rate relationship in ammonia synthesis, a relationship between ammonia synthesis capacity and production capacity is established, further refining the ammonia synthesis capacity calculation model. This allows for more accurate prediction and control of ammonia synthesis output, enabling flexible adjustments to production strategies based on market demand and system conditions, thereby improving the efficiency and competitiveness of ammonia synthesis production.

[0014] In one optional implementation, a formula for the hydrogen consumption rate in ammonia synthesis is established based on multiple installed capacity values, multiple operating models, and renewable energy power generation relationships, including:

[0015] Based on multiple installed capacity values, multiple operating models, and renewable energy power generation formulas, the power range for ammonia synthesis is determined; based on the power range for ammonia synthesis, a power relationship for ammonia synthesis is established; based on the power range for ammonia synthesis and the power relationship for ammonia synthesis, a formula for the hydrogen consumption rate of ammonia synthesis is established.

[0016] The capacity configuration optimization method provided by this invention determines the ammonia synthesis power range based on multiple installed power values, multiple operating models, and renewable energy power generation relationship formulas. This provides a reasonable power reference range for the ammonia synthesis production process, helping to rationally adjust the ammonia synthesis production power according to the system's energy supply and equipment capacity during actual operation. This avoids problems such as low production efficiency or equipment damage caused by excessively high or low power, ensuring the safety and stability of ammonia synthesis production. Furthermore, establishing an ammonia synthesis power relationship formula based on the ammonia synthesis power range clarifies the quantitative relationship between ammonia synthesis power and other system factors, enabling more precise control of ammonia synthesis production power, improving production controllability and stability, and also helping to optimize system energy allocation and improve energy utilization efficiency. Finally, establishing a hydrogen consumption rate relationship formula for ammonia synthesis by combining the ammonia synthesis power range and the ammonia synthesis power relationship formula can more accurately reflect the relationship between hydrogen consumption and power during ammonia synthesis production. This plays an important role in rationally planning hydrogen production and storage, optimizing the system's energy structure, and reducing production costs, while also contributing to improving the efficiency and quality of ammonia synthesis production.

[0017] In one optional implementation, the renewable energy-to-hydrogen ammonia synthesis coupled with hydrogen power generation system further includes a water electrolysis hydrogen production unit, a hydrogen fuel cell power generation unit, and an electrochemical energy storage unit; the ammonia synthesis power range is determined based on multiple installed capacity values, multiple operating models, and renewable energy power generation formulas, including:

[0018] Based on the renewable energy power generation relationship, the installed power value and operation model of the water electrolysis hydrogen production unit, the first operating power relationship and hydrogen production rate relationship of the water electrolysis hydrogen production unit are established; based on the renewable energy power generation relationship, the installed power value and operation model of the hydrogen fuel cell power generation unit, the second operating power relationship and hydrogen consumption rate relationship of the hydrogen power generation unit are established; based on the renewable energy power generation relationship, the installed power value and operation model of the electrochemical energy storage unit, the third operating power relationship of the electrochemical energy storage unit is established; based on the renewable energy power generation relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen consumption rate relationship of the hydrogen power generation unit, and the third operating power relationship, the power range for ammonia synthesis is determined.

[0019] The capacity configuration optimization method provided by this invention, by establishing a first operating power relationship and a hydrogen production rate relationship for the water electrolysis hydrogen production unit, a second operating power relationship and a hydrogen consumption rate relationship for the hydrogen fuel cell power generation unit, and a third operating power relationship for the electrochemical energy storage unit, can comprehensively describe the operating characteristics and energy consumption of each key unit in the system. This helps to gain a deeper understanding of the interactions and energy conversion relationships between the units, providing a detailed basis for the overall optimization of the system. Furthermore, by determining the ammonia synthesis power range based on the operating power and consumption rate relationships of each unit, combined with the renewable energy power generation power relationship, the influence of various factors on the ammonia synthesis power in the system can be comprehensively considered, making the determined ammonia synthesis power range more accurate and reasonable. This helps to better balance the energy distribution among the units in actual operation, improve the overall operating efficiency and stability of the system, and ensure the smooth progress of ammonia synthesis production.

[0020] In one optional implementation, formulas are established for the total investment cost and total operation and maintenance cost of a renewable energy-to-hydrogen-to-ammonia coupled hydrogen power generation system based on multiple installed capacity values, including:

[0021] Calculate multiple investment values ​​and multiple operation and maintenance cost values ​​based on multiple installed capacity values; establish a total investment cost formula based on multiple investment values; establish a total operation and maintenance cost formula based on multiple operation and maintenance cost values.

[0022] The capacity configuration optimization method provided by this invention calculates multiple investment values ​​and multiple operation and maintenance cost values ​​based on multiple installed capacity values, enabling a detailed understanding of the system's investment and operation and maintenance costs under different installed capacity scales. Furthermore, by establishing total investment cost and total operation and maintenance cost formulas based on the calculated investment and operation and maintenance cost values, the method can intuitively reflect the system's cost structure and changing trends. Analysis of these formulas can then identify key factors for cost control, allowing for corresponding measures to reduce costs and supporting improvements in the system's economic efficiency and market competitiveness.

[0023] In a second aspect, the present invention provides a capacity configuration optimization device for controlling a system, the control system being connected to a renewable energy-to-hydrogen-ammonia-synthetic-hydrogen-power-generation system; the device includes:

[0024] The acquisition module is used to acquire multiple operating models and multiple installed capacity values ​​for a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system;

[0025] The first module establishes the ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system based on multiple installed capacity values ​​and multiple operating models. The second module establishes the total investment cost relationship and the total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system based on multiple installed capacity values. The third module establishes the objective function based on the ammonia production capacity relationship, total investment cost relationship, and total operation and maintenance cost relationship, with the goal of minimizing the ammonia sales value of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. The solution module encodes multiple installed capacity values ​​into chromosomes of a genetic algorithm, uses the genetic algorithm to solve the objective function, and obtains the capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0026] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the capacity configuration optimization method of the first aspect or any corresponding embodiment described above.

[0027] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the capacity configuration optimization method of the first aspect or any corresponding embodiment thereof.

[0028] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the capacity configuration optimization method of the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0029] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0030] Figure 1 This is a flowchart illustrating a capacity configuration optimization method according to an embodiment of the present invention;

[0031] Figure 2 This is a flowchart illustrating another capacity configuration optimization method according to an embodiment of the present invention;

[0032] Figure 3 This is a flowchart illustrating another capacity configuration optimization method according to an embodiment of the present invention;

[0033] Figure 4This is a schematic diagram of a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system according to an embodiment of the present invention;

[0034] Figure 5 This is a structural block diagram of a capacity configuration optimization device according to an embodiment of the present invention;

[0035] Figure 6 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] This invention provides a capacity configuration optimization method. By obtaining the system operation model and installed capacity value, establishing the relationship between synthetic ammonia production capacity and cost, and establishing and solving the objective function with the goal of minimizing the sales value of synthetic ammonia, the method aims to achieve the optimal economic effect of a renewable energy hydrogen production and synthetic ammonia coupled with hydrogen power generation system while ensuring system safety and reliability.

[0038] According to an embodiment of the present invention, a capacity configuration optimization method embodiment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0039] This embodiment provides a capacity configuration optimization method for controlling a system that is connected to a renewable energy-based hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0040] Specifically, a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system may include a renewable energy power generation unit, a water electrolysis hydrogen production unit, an ammonia synthesis unit, a hydrogen fuel cell power generation unit, a hydrogen storage unit, and an electrochemical energy storage unit.

[0041] Among them, renewable energy power generation supplies the water electrolysis hydrogen production unit and the ammonia synthesis unit with a certain degree of flexible response capability. The hydrogen fuel cell power generation unit provides backup power for the entire system when renewable energy power is scarce. The hydrogen production unit produces hydrogen, which is stored in the hydrogen storage unit and then supplied to the ammonia synthesis unit and the hydrogen fuel cell power generation unit. The electrochemical energy storage unit is used to smooth the output of renewable energy power generation and provide a portion of backup power.

[0042] Furthermore, the renewable energy power generation unit may include one or more of the following: hydropower generation unit, wind power generation unit, photovoltaic power generation unit, and solar thermal power generation unit; the water electrolysis hydrogen production unit may include one or more of the following: alkaline water electrolysis hydrogen production, proton exchange membrane water electrolysis hydrogen production, alkaline anion exchange membrane water electrolysis hydrogen production, and solid oxide water electrolysis hydrogen production; and the ammonia synthesis unit may include an air separation nitrogen production system, a nitrogen compression system, and a hydrogen compression system.

[0043] Figure 1 This is a flowchart of a capacity configuration optimization method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0044] Step S101: Obtain multiple operating models and multiple installed capacity values ​​for a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0045] Among them, multiple operating models represent the operating models of each unit in the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. They are mathematical descriptions or logical frameworks of the interrelationships and changing patterns of key parameters (such as power, rate, capacity, etc.) between each unit under different operating conditions. They are used to reflect the energy conversion, material flow and synergistic effects of each unit with other units, and help to understand, predict and optimize the system's operating status, so as to improve energy utilization efficiency and economy while ensuring the system's safety and reliability.

[0046] Multiple installed capacity values ​​represent the installed capacity of each unit in a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. They are a comprehensive description of the capacity-related parameters of each unit's equipment, reflecting the installed capacity of each unit's equipment. Furthermore, the installed capacity can directly determine the production capacity, energy supply or storage capacity of each unit, thereby affecting the energy conversion efficiency, material output capacity, energy balance and operational economy of the entire system.

[0047] Specifically, multiple operating models may include:

[0048] (1) Electrolysis hydrogen production unit operation model: used to describe the relationship between parameters such as hydrogen production power and hydrogen production rate and factors such as renewable energy power generation, equipment installed capacity, and operating time during the electrolysis hydrogen production process.

[0049] (2) Ammonia synthesis unit operation model: used to represent the relationship between parameters such as ammonia synthesis power and hydrogen consumption rate during ammonia synthesis and other factors of the system (such as renewable energy power generation, hydrogen storage, hydrogen power generation, etc.).

[0050] (3) Hydrogen fuel cell power generation unit operation model: It is used to represent the relationship between parameters such as hydrogen power generation power and hydrogen consumption rate during hydrogen fuel cell power generation and factors such as the operating power of water electrolysis hydrogen production unit, the operating power of ammonia synthesis unit, and renewable energy power generation. It can reflect the utilization of hydrogen in the power generation process and the energy balance relationship with other units.

[0051] (4) Hydrogen storage unit operation model: used to describe the relationship between parameters such as hydrogen storage capacity, hydrogen charging rate, and hydrogen release rate in the hydrogen storage unit and the operating status of other parts of the system.

[0052] (5) Electrochemical energy storage unit operation model: used to represent the relationship between parameters such as energy storage discharge power, energy storage charging power, and energy storage charge capacity of the electrochemical energy storage unit and the overall operation of the system. Furthermore, by simulating the charging and discharging process of the electrochemical energy storage unit under different energy input and output conditions, it can reflect its role in balancing the energy supply and demand of the system.

[0053] Furthermore, multiple installed capacity values ​​can include:

[0054] (1) Renewable energy power generation capacity: This represents the total installed capacity of renewable energy power generation units (such as wind turbines and solar photovoltaic panels), which can reflect the system's ability to obtain electricity from renewable energy.

[0055] (2) Installed capacity of water electrolysis for hydrogen production: This represents the total power or production capacity of the water electrolysis hydrogen production unit. It determines the system's ability to produce hydrogen, and thus directly affects the supply of hydrogen required for ammonia synthesis.

[0056] (3) Ammonia synthesis capacity: This represents the total production capacity of the ammonia synthesis unit, which determines the maximum amount of ammonia that the system can produce and is directly related to the ammonia synthesis capacity.

[0057] (4) Installed capacity of hydrogen fuel cell power generation: This represents the total power of the hydrogen fuel cell power generation unit, which reflects the system's ability to generate electricity using hydrogen, and thus affects the redistribution and utilization efficiency of energy within the system.

[0058] (5) Hydrogen storage unit installed capacity: This represents the total storage capacity of the hydrogen storage unit, which determines the system's ability to store hydrogen. It plays a role in regulating the balance of hydrogen supply and demand when renewable energy power generation is unstable or when the demand for synthetic ammonia production changes.

[0059] (6) Installed capacity of electrochemical energy storage unit: This represents the total energy storage capacity of the electrochemical energy storage unit.

[0060] Step S102: Based on multiple installed capacity values ​​and multiple operating models, establish the ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0061] Specifically, by combining the installed capacity and operation model of each unit in the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system, the relationship between ammonia production and various factors of each unit can be quantified and the corresponding ammonia production capacity relationship can be established.

[0062] Step S103: Establish the total investment cost relationship and total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system based on multiple installed capacity values.

[0063] Among them, the total investment cost formula is used to quantify the relationship between the total funds invested in the construction phase of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system and the installed capacity of each part of the system.

[0064] The total operation and maintenance cost formula is used to describe the relationship between the costs incurred during the operation and maintenance phases of a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system and the installed capacity of each part of the system.

[0065] Specifically, by determining the installed capacity of each unit within the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system, the corresponding total investment cost relationship and total operation and maintenance cost relationship can be established.

[0066] Step S104: With the goal of minimizing the sales value of synthesized ammonia from the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system, an objective function is established based on the relationships of ammonia production capacity, total investment cost, and total operation and maintenance cost.

[0067] The objective function characterizes the sales value of synthetic ammonia from a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system. Furthermore, the sales value of synthetic ammonia represents the selling price of synthetic ammonia meeting the gross profit margin target.

[0068] Specifically, the corresponding sales value of synthetic ammonia can be calculated by combining the synthetic ammonia production capacity relationship, the total investment cost relationship, and the total operation and maintenance cost relationship, as shown in the following relationship (1):

[0069] SP A =(T total / Y+O total ) / TP A / (1-R) ​​(1)

[0070] In the formula: SP A Indicates the sales value of synthetic ammonia; T total Y represents the total investment cost, which can be calculated using the formula for total investment cost; O represents the depreciation period of the equipment; total This represents the total maintenance cost, which can be calculated using the total maintenance cost formula; TP AR represents the synthetic ammonia production capacity, which can be calculated based on the synthetic ammonia production capacity formula; R represents the gross profit margin.

[0071] Step S105: Encode multiple installed capacity values ​​into chromosomes for a genetic algorithm, and use the genetic algorithm to solve the objective function to obtain the capacity configuration optimization results of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0072] Among them, the genetic algorithm refers to a random search algorithm based on natural selection and genetic mechanisms. It finds the optimal solution by simulating the biological evolution process. The main operations can include selection, crossover and mutation.

[0073] Specifically, the installed capacity value of each unit can be encoded into chromosomes of a genetic algorithm using a predetermined encoding method. Then, by using the genetic algorithm to solve the objective function, the optimal configuration scheme of the installed capacity of each unit that achieves the lowest sales value of synthetic ammonia can be obtained.

[0074] The predetermined encoding method can be binary encoding, real number encoding, etc.

[0075] In an alternative implementation, since the installed capacity of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system is a continuous value, real number encoding is adopted. That is, each installed capacity value is directly represented by a real number, and then these real numbers are arranged in a certain order to form a chromosome.

[0076] The capacity configuration optimization method provided in this embodiment, by acquiring multiple operating models and installed capacity values ​​of a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system, can comprehensively understand the operating characteristics and possible configurations of each part of the system. Furthermore, by establishing a synthetic ammonia production capacity relationship based on the acquired information, the relationship between synthetic ammonia production capacity and various system factors can be quantified. Furthermore, by establishing total investment cost and total operation and maintenance cost relationships, the cost composition of the system in terms of investment and operation and maintenance can be clearly understood. Furthermore, by establishing an objective function with the goal of minimizing the sales value of synthetic ammonia and solving it using a genetic algorithm, the capacity configuration of the system can be optimized as a whole. Therefore, the capacity configuration optimization result obtained in this way can achieve optimal economic efficiency for the renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system while ensuring system safety and reliability, thus promoting the industrialization of green ammonia based on renewable energy.

[0077] This embodiment provides a capacity configuration optimization method for controlling a system that is connected to a renewable energy-based hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 2 This is a flowchart of a capacity configuration optimization method according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0078] Step S201: Obtain multiple operating models and multiple installed capacity values ​​for a renewable energy-to-hydrogen-to-ammonia-synthetic-hydrogen-power-generating system. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0079] Step S202: Based on multiple installed capacity values ​​and multiple operating models, establish the ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0080] Specifically, step S202 includes:

[0081] Step S2021: Determine multiple installed capacity values ​​based on multiple installed capacity scale values.

[0082] Specifically, installed capacity is an indicator that measures the capacity or production / storage capability of each unit, while installed power is related to the actual energy conversion, production, or storage rate of the equipment.

[0083] Furthermore, for renewable energy power generation units, the installed capacity determines the power generation equipment capacity, while the installed power is its actual power generation capacity, which is affected by environmental factors; for water electrolysis hydrogen production units, the installed capacity is used to represent hydrogen production capacity, and the installed power has a proportional relationship with it based on equipment parameters, and is affected by electrolysis efficiency and operating conditions; in ammonia synthesis units, the installed capacity represents production capacity, while the installed power provides energy for the reaction, and is affected by process conditions and catalyst performance; for hydrogen fuel cell power generation units, the installed capacity is the power generation capacity, and the installed power is the rated power, with the actual output affected by fuel cell type and hydrogen supply conditions; for hydrogen storage units, the installed capacity is the hydrogen storage capacity, and the installed power is related to hydrogen compression / liquefaction equipment, and is affected by hydrogen storage methods and conditions; for electrochemical energy storage units, the installed capacity represents energy storage capacity, and the installed power involves charging and discharging, and is affected by battery characteristics.

[0084] Furthermore, based on the relationship between the installed capacity and installed power of each unit, the corresponding installed power value can be determined according to the installed capacity value of each unit.

[0085] Step S2022: Based on multiple installed capacity values ​​and multiple installed power values, establish the renewable energy power generation relationship of the renewable energy power generation unit.

[0086] Specifically, the relationship between renewable energy power generation is shown in equation (2) below:

[0087] P RE，t =P HY，t +P W，t +P PV，t +P ST，t (2)

[0088] In the formula: PRE，t P represents the renewable energy power generation at time t; HY，t Let P represent the hydroelectric power generation at time t, as shown in equation (3); W，t Let P represent the wind power generation at time t, as shown in equation (4); PV，t Let P represent the photovoltaic power generation at time t, as shown in equation (5); ST，t Let t represent the solar thermal power generation at time t, as shown in the following equation (6).

[0089] P HY，t =I HY ·p HY,t (3)

[0090] P W，t =I W ·p W,t (4)

[0091] P PV，t =I PV ·p PV,t (5)

[0092] P ST，t =I ST ·p ST,t (6)

[0093] In the formula: I HY p represents the installed capacity of hydropower generation. HY，t Represents the hydroelectric power output curve at time t; I W Indicates the installed capacity of wind power generation; p W，t Represents the wind power output curve at time t; I PV Indicates the installed capacity of photovoltaic power generation; p PV，t Represents the photovoltaic power generation output curve at time t; I ST Indicates the installed capacity of concentrated solar power (CSP); p ST，t This represents the solar thermal power output curve at time t.

[0094] Step S2023: Based on multiple installed capacity values, multiple operating models, and renewable energy power generation relationship formulas, establish the synthetic ammonia production capacity relationship formula.

[0095] Specifically, by combining multiple installed capacity values, multiple operating models, and renewable energy power generation formulas, the corresponding synthetic ammonia production capacity formulas can be determined and established.

[0096] In some optional implementations, step S2023 above includes:

[0097] Step a1: Based on multiple installed capacity values, multiple operating models, and the relationship between renewable energy power generation, establish the relationship between the hydrogen consumption rate of ammonia synthesis.

[0098] Specifically, by combining multiple installed capacity values, multiple operating models, and renewable energy power generation relationship formulas, the hydrogen consumption rate relationship of the ammonia synthesis unit in the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system can be determined.

[0099] In some alternative implementations, step a1 above includes:

[0100] Step a11: Determine the range of ammonia synthesis power based on multiple installed capacity values, multiple operating models, and the relationship between renewable energy power generation.

[0101] In some optional implementations, step a11 above includes:

[0102] Step a111: Based on the renewable energy power generation power relationship, the installed power value and operation model of the water electrolysis hydrogen production unit, establish the first operating power relationship and hydrogen production rate relationship of the water electrolysis hydrogen production unit.

[0103] Specifically, the first operating power relationship is used to characterize the operating power of the water electrolysis hydrogen production unit, as shown in the following relationship (7):

[0104]

[0105] In the formula: P H，t P represents the hydrogen production power at time t, which is also the operating power. Hmax The maximum hydrogen production power is represented by the following relationship (8); P Hmin The minimum hydrogen production power is represented by the following relationship (9); P′ H，t Let P represent the hydrogen production power at time t, as shown in equation (10); Hs This indicates the hot standby power of the hydrogen production system.

[0106] P Hmax =I H ·F Hmax (8)

[0107] P Hmin =I H ·F Hmin (9)

[0108]

[0109] In the formula: P A，t I represents the ammonia synthesis power at time t; H Indicates the installed capacity of hydrogen production facilities; F Hmax Indicates the maximum hydrogen production capacity range; F Hmin Indicates the minimum hydrogen production power range; E H Indicates the energy consumption per unit of hydrogen production; HS，t-1 H represents the amount of hydrogen stored at time t-1; SC Indicates the rated hydrogen storage capacity; η HS Indicates the hydrogen storage adjustment factor; H A，t This represents the rate at which hydrogen is consumed in the synthesis of ammonia at time t.

[0110] Furthermore, the hydrogen production rate relationship is shown in the following equation (11):

[0111]

[0112] Where: H P，t This represents the hydrogen production rate at time t.

[0113] Furthermore, the hydrogen storage capacity H at time t can also be calculated. S，t The following relation (12) is shown:

[0114] H S，t =H S，t-1 +H P，t -H A，t -H HP，t (12)

[0115] In the formula: H HP，t This represents the rate at which hydrogen is consumed in hydrogen power generation at time t.

[0116] Furthermore, since hydrogen is one of the important raw materials for ammonia synthesis, the amount of hydrogen that can be produced at different times can be determined through the above relationship, thereby affecting the yield of ammonia synthesis.

[0117] Step a112: Based on the renewable energy power generation power relationship, the installed power value of the hydrogen fuel cell power generation unit and the operation model, establish the second operating power relationship of the hydrogen fuel cell power generation unit and the hydrogen consumption rate relationship for hydrogen power generation.

[0118] Specifically, the second operating power relationship and the hydrogen consumption rate relationship for hydrogen power generation are shown in the following equations (13) to (14):

[0119] P HP，t =max(P H，t +P A，t -P RE，t ,0) (13)

[0120] H HP，t =P HP，t / E HP (14)

[0121] In the formula: P HP，t E represents the hydrogen power generation capacity at time t. HP This indicates the amount of electricity generated per unit of hydrogen gas.

[0122] Furthermore, P HP，t The range is shown in the following relation (15):

[0123] P HPmin ≤P HP，t ≤P HPmax (15)

[0124] In the formula: P HPmin The minimum hydrogen power generation capacity is represented by the following relationship (16); P HPmax The maximum hydrogen power generation capacity is represented by the following relationship (17).

[0125] P HPmax =I HP ·F HPmax (16)

[0126] P HPmin =I HP ·F HPmin (17)

[0127] In the formula: I HP This indicates the installed capacity of hydrogen power generation.

[0128] Furthermore, hydrogen power generation is closely related to the energy balance of the entire system and the utilization of hydrogen, which indirectly affects the amount of hydrogen available for ammonia synthesis, thereby impacting ammonia production capacity.

[0129] Step a113: Based on the renewable energy power generation relationship, the installed power value of the electrochemical energy storage unit and the operation model, establish the third operating power relationship of the electrochemical energy storage unit.

[0130] Specifically, the third operating power relationship is shown in the following equations (18) to (20):

[0131] P Bdischa，t =min(max(max(P) H，t +P A，t -P RE，t ,0)-P HP，t ,0),I B (18)

[0132] P Bcha，t =min(max(P) RE，t -P H，t -P A，t ,0),I B (19)

[0133]

[0134] In the formula: P Bdischa，tI represents the energy storage discharge power at time t; B P represents the installed capacity of energy storage; Bcha，t B represents the energy storage charging power at time t; t η represents the energy storage charge capacity at time t; B Indicates the energy storage charging and discharging efficiency; B max This indicates the installed capacity of energy storage.

[0135] Furthermore, the electrochemical energy storage unit plays a role in balancing energy supply and demand in the entire system. Through energy storage and release, it can regulate the volatility of renewable energy power generation and ensure a stable energy supply to the water electrolysis hydrogen production unit and the ammonia synthesis unit at different times, thereby indirectly affecting the ammonia synthesis capacity.

[0136] Step a114: Determine the power range for ammonia synthesis based on the renewable energy power generation power relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen consumption rate relationship for hydrogen power generation, and the third operating power relationship.

[0137] Specifically, based on the descriptions of steps a111 to a114 above, and after determining the renewable energy power generation power relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen consumption rate relationship for hydrogen power generation, and the third operating power relationship, the range of ammonia synthesis power can be further determined.

[0138] First, based on the range F of ammonia synthesis power generated by renewable energy power generation. A ′ ,t The following relation (21) is shown:

[0139]

[0140] In the formula: ΔF A Indicates the hourly ammonia synthesis adjustment ratio; F Amin Indicates the minimum ammonia synthesis power range; F Amax Indicates the maximum ammonia synthesis power range; P REmax α represents the maximum renewable energy power generation; α represents the segmentation coefficient of renewable energy power generation calculated based on the synthetic ammonia adjustment ratio, as shown in the following relationship (22); N represents the number of segments of renewable energy power generation calculated based on the synthetic ammonia adjustment ratio, as shown in the following relationship (23).

[0141] α=ΔF A / (F Amax -F Amin +ΔF A )(twenty two)

[0142] N = 1, 2, ..., (FAmax -F Amin -ΔF A ) / ΔF A (twenty three)

[0143] Secondly, the range of ammonia synthesis power is adjusted according to the hydrogen storage capacity and hydrogen power generation capacity, as shown in the following equations (24) to (26):

[0144]

[0145] In the formula: F A,t This represents the range of ammonia synthesis power after adjustment at time t; This indicates the range of ammonia synthesis power adjusted based on hydrogen storage capacity; η HSU Indicates the upper limit coefficient for hydrogen storage regulation; η HSL Indicates the lower limit coefficient for hydrogen storage regulation; N SCmin Indicates the minimum hydrogen storage capacity; This indicates the range of ammonia synthesis power adjusted based on hydrogen power generation capacity; P Amin This represents the minimum ammonia synthesis power.

[0146] Finally, the power range for ammonia synthesis can be constrained based on the load regulation rate and the need to ensure the safety of key infrastructure, as shown in the following equations (27) to (29):

[0147] F A，t-1 -ΔF A ≤F A，t ≤F A，t-1 +ΔF A (27)

[0148] F As ≤F A，t ≤F Amax (28)

[0149] F As <F Amin (29)

[0150] In the formula: F As This indicates the minimum power range required to ensure the safety of key basic equipment in the ammonia synthesis system.

[0151] Step a12: Establish the ammonia synthesis power relationship based on the ammonia synthesis power range.

[0152] Specifically, the ammonia synthesis power relationship is shown in the following equation (30):

[0153]

[0154] In the formula: I A This indicates the installed capacity of the ammonia synthesis plant.

[0155] Step a13: Based on the power range and power relationship of ammonia synthesis, establish the relationship of hydrogen consumption rate for ammonia synthesis.

[0156] Specifically, the ammonia synthesis reaction is a process that requires energy input, and the ammonia synthesis power value can, to some extent, reflect the amount of energy provided for the ammonia synthesis reaction per unit time. Furthermore, a higher power value generally indicates that more energy can be provided for the reaction, thereby accelerating the reaction rate.

[0157] Furthermore, the relationship between the hydrogen consumption rate in ammonia synthesis and the following equation (31) is as follows:

[0158]

[0159] In the formula: η HA E represents the hydrogen-ammonia mass conversion factor. A This indicates the energy consumption per unit of ammonia synthesis.

[0160] Step a2: Establish the ammonia production capacity relationship based on the hydrogen consumption rate relationship for ammonia synthesis.

[0161] Specifically, the ammonia synthesis capacity relationship is shown in the following equation (32):

[0162]

[0163] In the formula: TP A This indicates the production capacity of synthetic ammonia.

[0164] Step S203: Establish the total investment cost and total operation and maintenance cost formulas for a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system based on multiple installed capacity values. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0165] Step S204: With the objective of minimizing the sales value of synthesized ammonia from a renewable energy-based hydrogen-to-ammonia synthesis coupled with a hydrogen power generation system, an objective function is established based on the relationships between ammonia production capacity, total investment cost, and total operation and maintenance cost. For details, please refer to [link to relevant documentation]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0166] Step S205: Encode multiple installed capacity values ​​as chromosomes for a genetic algorithm, and use the genetic algorithm to solve the objective function to obtain the capacity configuration optimization results of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. For details, please refer to... Figure 1 Step S105 of the illustrated embodiment will not be described again here.

[0167] The capacity configuration optimization method provided in this embodiment comprehensively describes the operating characteristics and energy consumption of each key unit in the system by establishing the first operating power relationship and hydrogen production rate relationship for the water electrolysis hydrogen production unit, the second operating power relationship and hydrogen consumption rate relationship for the hydrogen fuel cell power generation unit, and the third operating power relationship for the electrochemical energy storage unit. This helps to gain a deeper understanding of the interactions and energy conversion relationships between the units, providing a detailed basis for the overall optimization of the system. Furthermore, by determining the ammonia synthesis power range based on the operating power and consumption rate relationships of each unit, combined with the renewable energy power generation relationship, the influence of various factors on the ammonia synthesis power in the system can be comprehensively considered, making the determined ammonia synthesis power range more accurate and reasonable. This helps to better balance the energy distribution among the units in actual operation, improve the overall operating efficiency and stability of the system, and ensure the smooth production of ammonia synthesis. Furthermore, by establishing the ammonia synthesis power relationship based on the ammonia synthesis power range, the quantitative relationship between the ammonia synthesis power and other system factors is further clarified, which allows for more precise control of the ammonia synthesis production power, improving the controllability and stability of production, and also helps to optimize the system's energy distribution and improve energy utilization efficiency. Finally, by combining the power range and power relationship of ammonia synthesis, a formula for the hydrogen consumption rate in ammonia synthesis is established. This formula more accurately reflects the relationship between hydrogen consumption and power during ammonia synthesis, which is crucial for rationally planning hydrogen production and storage, optimizing the system's energy structure, and reducing production costs. It also helps improve the efficiency and quality of ammonia synthesis. Finally, based on the hydrogen consumption rate formula, a formula for ammonia synthesis capacity is established, further refining the calculation model for ammonia synthesis capacity. This allows for more accurate prediction and control of ammonia production, enabling flexible adjustments to production strategies based on market demand and system conditions, thereby improving the efficiency and competitiveness of ammonia synthesis.

[0168] This embodiment provides a capacity configuration optimization method for controlling a system that is connected to a renewable energy-based hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 3 This is a flowchart of a capacity configuration optimization method according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps:

[0169] Step S301: Obtain multiple operating models and multiple installed capacity values ​​for a renewable energy-to-hydrogen-to-ammonia-synthetic-hydrogen-power-generating system. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0170] Step S302: Based on multiple installed capacity values ​​and multiple operating models, establish the ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. For details, please refer to [link to relevant documentation]. Figure 2Step S202 of the illustrated embodiment will not be described again here.

[0171] Step S303: Establish the total investment cost relationship and total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system based on multiple installed capacity values.

[0172] Specifically, step S303 includes:

[0173] Step S3031: Calculate multiple investment values ​​and multiple operation and maintenance cost values ​​based on multiple installed capacity values.

[0174] Specifically, the investment value of each unit can be determined based on the installed capacity of each unit, as shown in the following equations (33) to (41):

[0175] T HY =I HY ·t HYpu (33)

[0176] T W =I W ·t Wpu (34)

[0177] T PV =I PV ·T PV (35)

[0178] T ST =I ST ·t STpu (36)

[0179] T H =I H ·t Hpu (37)

[0180] T A =I A ·t Apu (38)

[0181] T HP =I HP ·t HPpu (39)

[0182] T SC =I SC ·t SCpu (40)

[0183] T B =I B ·t Bpu (41)

[0184] In the formula: T HYIndicates the investment value of hydropower generation; t HYpu T represents the investment value per unit power of hydropower generation; W Indicates the investment value of wind power generation; t Wpu T represents the investment value per unit power of wind power generation; PV Indicates the investment value of photovoltaic power generation; T PV T represents the investment value per unit power of photovoltaic power generation; ST This represents the investment value of concentrated solar power (CSP); t STpu T represents the investment value per unit power of concentrated solar power (CSP); H This indicates the investment value for hydrogen production via water electrolysis; t Hpu This indicates the investment value per unit power for hydrogen production via water electrolysis; T A This represents the investment value in synthetic ammonia; t Apu T represents the investment value per unit power in ammonia synthesis; HP This represents the investment value for hydrogen fuel cell power generation; t HPpu This indicates the investment value per unit power of hydrogen fuel cell power generation; T SC Indicates the investment value of hydrogen storage; t SCpu This indicates the investment value per unit capacity of hydrogen storage; T B Indicates the investment value of electrochemical energy storage; t Bpu This indicates the investment value per unit power of electrochemical energy storage.

[0185] Furthermore, specifically, the operation and maintenance cost of each unit can be determined based on the installed capacity of each unit, as shown in the following equations (42) to (50):

[0186] O HY =I HY ·Co HYpu (42)

[0187] O W =I W ·Co wpu (43)

[0188] O PV =I PV ·Co PVpu (44)

[0189] O ST =I ST ·Co STpu (45)

[0190] O H =I H ·Co Hpu (46)

[0191] O A =I A ·Co Apu (47)

[0192] O HP =I HP ·Co HPpu (48)

[0193] O SC =I SC ·Co SCpu (49)

[0194] O B =I B ·Co Bpu (50)

[0195] In the formula: O HY This represents the annual operation and maintenance cost of hydropower; Co HYpu This represents the annual operation and maintenance cost per unit power of hydropower generation; O W This represents the annual operation and maintenance cost of wind power generation; Co Wpu This represents the annual operation and maintenance cost per unit power of wind power generation; O PV This represents the annual operation and maintenance cost of photovoltaic power generation; Co PVpu This represents the annual operation and maintenance cost per unit power of photovoltaic power generation; O ST This represents the annual operation and maintenance cost of concentrated solar power (CSP); Co STpu This represents the annual operation and maintenance cost per unit power of concentrated solar power (CSP); O H This represents the annual operation and maintenance cost of hydrogen production via water electrolysis; Co Hpu This represents the annual operation and maintenance cost per unit power for hydrogen production via water electrolysis; O A This represents the annual operation and maintenance cost of synthetic ammonia; Co HPpu This represents the annual operation and maintenance cost per unit power of synthetic ammonia; O HP CoHPpu represents the annual operation and maintenance cost of hydrogen fuel cell power generation; CoHPpu represents the annual operation and maintenance cost per unit power of hydrogen fuel cell power generation; O SC This represents the annual operation and maintenance cost of hydrogen storage; Co SCpu This represents the annual operation and maintenance cost per unit capacity of hydrogen storage; O B This represents the annual operation and maintenance cost of electrochemical energy storage; Co Bpu This represents the annual operation and maintenance cost per unit power of electrochemical energy storage.

[0196] Step S3032: Establish the total investment cost relationship based on multiple investment values.

[0197] Specifically, the total investment cost relationship can be derived from the investment value of each unit, as shown in the following equation (51):

[0198] T total =T HY +T W +T PV +T ST +TH +T A +T HP +T SC +T B (51)

[0199] In the formula: T total This represents the total investment cost.

[0200] Step S3033: Establish the total maintenance cost relationship based on multiple maintenance cost values.

[0201] Specifically, the total investment cost relationship can be derived from the investment value of each unit, as shown in the following equation (52):

[0202] O total =O HY +O W +O PV +O ST +O H +O A +O HP +O SC +O B (52)

[0203] In the formula: O total This represents the total operating and maintenance cost.

[0204] Step S304: With the objective of minimizing the sales value of synthesized ammonia from a renewable energy-based hydrogen-to-ammonia synthesis coupled with hydrogen power generation system, an objective function is established based on the relationships between ammonia production capacity, total investment cost, and total operation and maintenance cost. For details, please refer to [link to relevant documentation]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0205] Step S305: Encode multiple installed capacity values ​​into chromosomes for a genetic algorithm, and use the genetic algorithm to solve the objective function to obtain the capacity configuration optimization results of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. For details, please refer to... Figure 1 Step S105 of the illustrated embodiment will not be described again here.

[0206] The capacity configuration optimization method provided in this embodiment calculates multiple investment values ​​and multiple operation and maintenance cost values ​​based on multiple installed capacity values, enabling a detailed understanding of the system's investment and operation and maintenance costs under different installed capacity scales. Furthermore, by establishing total investment cost and total operation and maintenance cost formulas based on the calculated investment and operation and maintenance cost values, the method can intuitively reflect the system's cost structure and changing trends. Analysis of these formulas can then identify key factors for cost control, allowing for corresponding measures to reduce costs and supporting improvements in the system's economic efficiency and market competitiveness.

[0207] In one instance, such as Figure 4 As shown, a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system is provided, including a renewable energy power generation unit, a water electrolysis hydrogen production unit, an ammonia synthesis unit, a hydrogen fuel cell power generation unit, a hydrogen storage unit, and an electrochemical energy storage unit. The renewable energy power generation unit supplies the water electrolysis hydrogen production unit and the ammonia synthesis unit, which have a certain degree of flexible response capability. The hydrogen fuel cell power generation unit provides backup power for the entire system when renewable energy power is scarce. The hydrogen produced by the hydrogen production unit is stored in the hydrogen storage unit and then supplied to the ammonia synthesis unit and the hydrogen fuel cell power generation unit. The electrochemical energy storage unit is used to smooth the output of renewable energy power generation and provide a portion of backup power.

[0208] Among them, the renewable energy power generation unit includes one or more of the following: hydropower generation unit, wind power generation unit, photovoltaic power generation unit, and solar thermal power generation unit; the water electrolysis hydrogen production unit includes one or more of the following: alkaline water electrolysis hydrogen production, proton exchange membrane water electrolysis hydrogen production, alkaline anion exchange membrane water electrolysis hydrogen production, and solid oxide water electrolysis hydrogen production; and the ammonia synthesis unit includes an air separation nitrogen production system, a nitrogen compression system, and a hydrogen compression system.

[0209] Furthermore, a method for optimizing the capacity configuration of a renewable energy-based hydrogen production and ammonia synthesis coupled with hydrogen power generation system is provided, comprising the following steps:

[0210] (1) Obtain the renewable energy power generation capacity based on the installed capacity and output curve of renewable energy;

[0211] (2) Determine the ammonia production capacity based on the installed power and operation model of the water electrolysis hydrogen production unit, the installed power and operation model of the ammonia synthesis unit, the installed power and operation model of the hydrogen fuel cell power generation unit, and the installed power and operation model of the electrochemical energy storage unit.

[0212] (3) Determine the total investment cost of the system and the operation and maintenance cost of each unit based on the installed capacity of each unit of the system, and then calculate the selling price of synthetic ammonia under the gross profit margin target based on the synthetic ammonia production capacity.

[0213] (4) Taking the lowest price of synthetic ammonia as the optimization objective, the installed capacity of each unit of the system, such as renewable energy power generation, water electrolysis hydrogen production, synthetic ammonia, hydrogen fuel cell power generation, hydrogen storage, and electrochemical energy storage, is encoded as chromosomes of the genetic algorithm. The genetic algorithm is used to solve the optimal configuration scheme of the installed capacity of each unit to achieve the lowest price of synthetic ammonia.

[0214] The formulas for calculating the power generation of renewable energy are shown in equations (2) to (6) above.

[0215] Furthermore, the operation model of the water electrolysis hydrogen production unit is calculated based on the renewable energy power generation and the installed power of the water electrolysis hydrogen production unit. The calculation formulas are shown in the above relationships (7) to (12).

[0216] Furthermore, the ammonia synthesis unit operation model includes the following steps:

[0217] a) The range of synthetic ammonia power generated based on renewable energy power generation is shown in equations (21) to (23) above.

[0218] b) Adjust the range of ammonia synthesis power according to the amount of hydrogen stored and the power of hydrogen power generation, as shown in the above relationships (24) to (26).

[0219] c) The power range of ammonia synthesis is constrained according to the load regulation rate and the safety of key infrastructure, as shown in equations (27) to (29) above.

[0220] d) Calculate the ammonia synthesis power range and the ammonia synthesis hydrogen consumption rate, as shown in equations (30) to (32) above.

[0221] Furthermore, the hydrogen fuel cell power generation unit operation model calculates the hydrogen power generation system operation power and hydrogen consumption rate based on the operating power of the water electrolysis hydrogen production unit, the operating power of the ammonia synthesis unit, and the renewable energy power generation power, as shown in the above relationships (13) to (17).

[0222] Furthermore, the electrochemical energy storage unit operation model and the calculation formula for the operating power of the electrochemical energy storage unit are shown in the above relationships (18) to (20).

[0223] Furthermore, the calculation process for the selling price of synthetic ammonia includes:

[0224] a) Determine the investment and total investment cost of each unit of the system based on the installed capacity of each unit, as shown in equations (33) to (41) and equation (51) above.

[0225] b) Determine the operation and maintenance cost of each unit and the total operation and maintenance cost based on the installed capacity of each unit of the system, as shown in the above equations (42) to (50) and equation (52).

[0226] c) Calculate the selling price of synthetic ammonia to meet the gross profit margin target based on the synthetic ammonia production capacity, as shown in the above formula (1).

[0227] The capacity configuration optimization method for a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system provided in this example has the following effects:

[0228] (1) The coupled hydrogen power generation system provides guaranteed power for the off-grid renewable energy hydrogen production and ammonia synthesis system, ensuring the safety and reliability of the system;

[0229] (2) By flexibly adjusting the operating range of the hydrogen production unit and the ammonia synthesis unit, the consumption of renewable energy can be effectively promoted, while the configuration scale of the hydrogen storage unit and the energy storage unit can be reduced.

[0230] (3) Based on the interlocking operation of each unit of the system, the installed capacity of each unit, such as renewable energy, water electrolysis hydrogen production, ammonia synthesis, hydrogen fuel cell power generation, hydrogen storage, and electrochemical energy storage, can be optimized by using genetic algorithms. This can effectively reduce the production cost of ammonia synthesis and improve the cost competitiveness of renewable energy hydrogen production and ammonia synthesis.

[0231] This embodiment also provides a capacity configuration optimization device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0232] This embodiment provides a capacity configuration optimization device for controlling a system, which is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; such as Figure 5 As shown, the device includes:

[0233] The acquisition module 501 is used to acquire multiple operating models and multiple installed capacity values ​​of a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system.

[0234] The first module 502 is used to establish the ammonia production capacity relationship of a renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system based on multiple installed capacity values ​​and multiple operating models.

[0235] The second module 503 is used to establish the total investment cost relationship and the total operation and maintenance cost relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system based on multiple installed capacity values.

[0236] The third module 504 is used to establish an objective function based on the formulas for synthetic ammonia production capacity, total investment cost, and total operation and maintenance cost, with the goal of minimizing the sales value of synthetic ammonia from a hydrogen-to-ammonia synthesis coupled with a hydrogen power generation system using renewable energy.

[0237] The solution module 505 is used to encode multiple installed capacity values ​​into chromosomes of a genetic algorithm, and use the genetic algorithm to solve the objective function to obtain the capacity configuration optimization results of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0238] In some alternative implementations, the renewable energy-to-hydrogen-to-ammonia-coupled-hydrogen-power-generation system includes a renewable energy power generation unit; the first establishment module 502 includes:

[0239] The determination submodule is used to determine multiple installed power values ​​based on multiple installed capacity scale values.

[0240] The first submodule is used to establish the renewable energy power generation relationship of the renewable energy power generation unit based on multiple installed capacity scale values ​​and multiple installed power values.

[0241] The second sub-module is used to establish the synthetic ammonia production capacity relationship based on multiple installed capacity values, multiple operating models, and renewable energy power generation relationship formulas.

[0242] In some alternative implementations, the second establishment submodule includes:

[0243] The first establishment unit is used to establish the hydrogen consumption rate relationship for synthetic ammonia based on multiple installed power values, multiple operating models, and renewable energy power generation relationship.

[0244] The second establishment unit is used to establish the ammonia production capacity relationship based on the hydrogen consumption rate relationship of ammonia synthesis.

[0245] In some alternative implementations, the first establishing unit includes:

[0246] The first determining subunit is used to determine the range of synthetic ammonia power based on multiple installed power values, multiple operating models, and renewable energy power generation formulas.

[0247] The first sub-unit is used to establish the ammonia synthesis power relationship based on the ammonia synthesis power range.

[0248] The second sub-unit is used to establish the hydrogen consumption rate relationship for ammonia synthesis based on the ammonia synthesis power range and the ammonia synthesis power relationship.

[0249] In some optional embodiments, the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system further includes a water electrolysis hydrogen production unit, a hydrogen fuel cell power generation unit, and an electrochemical energy storage unit; the first defined subunit includes:

[0250] The third sub-unit is used to establish the first operating power relationship and hydrogen production rate relationship of the water electrolysis hydrogen production unit based on the renewable energy power generation power relationship, the installed power value and operation model of the water electrolysis hydrogen production unit.

[0251] The fourth sub-unit is established to create a second operating power relationship and a hydrogen consumption rate relationship for hydrogen power generation based on the renewable energy power generation power relationship, the installed power value of the hydrogen fuel cell power generation unit, and the operating model.

[0252] The fifth sub-unit is used to establish the third operating power relationship of the electrochemical energy storage unit based on the renewable energy power generation relationship, the installed power value of the electrochemical energy storage unit, and the operating model.

[0253] The second determining subunit is used to determine the ammonia synthesis power range based on the renewable energy power generation power relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen consumption rate relationship for hydrogen power generation, and the third operating power relationship.

[0254] In some alternative implementations, the second establishment module 503 includes:

[0255] The calculation submodule is used to calculate multiple investment values ​​and multiple operation and maintenance cost values ​​based on multiple installed capacity values.

[0256] The third submodule is used to establish the total investment cost relationship based on multiple investment values.

[0257] The fourth sub-module is used to establish the total operation and maintenance cost relationship based on multiple operation and maintenance cost values.

[0258] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0259] In this embodiment, the capacity configuration optimization device is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0260] This invention also provides a computer device having the above-described features. Figure 5 The capacity configuration optimization device shown.

[0261] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 6As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 6 Take a processor 10 as an example.

[0262] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GPA), or any combination thereof.

[0263] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0264] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0265] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0266] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0267] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0268] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0269] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A capacity configuration optimization method characterized by, A method for controlling a system connected with a renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system, the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system comprising a renewable energy power generation unit, a water electrolysis hydrogen production unit, a hydrogen fuel cell power generation unit and an electrochemical energy storage unit; the method comprising: obtaining a plurality of operating models and a plurality of installed capacity values of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system; establishing an ammonia production capacity relationship of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system according to the plurality of installed capacity values and the plurality of operating models; establishing a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system according to the plurality of installed capacity values; establishing a target function according to the ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship, with the goal of minimizing the selling value of ammonia produced by the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system; encoding the plurality of installed capacity values as chromosomes of a genetic algorithm, and solving the target function using the genetic algorithm to obtain an optimized capacity configuration result of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system; wherein establishing an ammonia production capacity relationship of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system according to the plurality of installed capacity values and the plurality of operating models comprises: determining a plurality of installed power values according to the plurality of installed capacity values; establishing a renewable energy power generation power relationship of the renewable energy power generation unit according to the plurality of installed capacity values and the plurality of installed power values; establishing the ammonia production capacity relationship according to the plurality of installed power values, the plurality of operating models and the renewable energy power generation power relationship; wherein establishing an ammonia production capacity relationship of the renewable energy hydrogen synthesis ammonia coupled hydrogen power generation system according to the plurality of installed capacity values and the plurality of operating models comprises: establishing an ammonia consumption hydrogen rate relationship according to the plurality of installed power values, the plurality of operating models and the renewable energy power generation power relationship; establishing the ammonia production capacity relationship according to the ammonia consumption hydrogen rate relationship; wherein establishing an ammonia consumption hydrogen rate relationship according to the plurality of installed power values, the plurality of operating models and the renewable energy power generation power relationship comprises: determining an ammonia power range according to the plurality of installed power values, the plurality of operating models and the renewable energy power generation power relationship; establishing an ammonia power relationship according to the ammonia power range; establishing the ammonia consumption hydrogen rate relationship according to the ammonia power range and the ammonia power relationship; wherein determining an ammonia power range according to the plurality of installed power values, the plurality of operating models and the renewable energy power generation power relationship comprises: establishing a first operating power relationship and a hydrogen production rate relationship of the water electrolysis hydrogen production unit according to the renewable energy power generation power relationship, an installed power value and an operating model of the water electrolysis hydrogen production unit; According to the renewable energy power generation power relationship, the installed power value and the operation model of the hydrogen fuel cell power generation unit, a second operation power relationship of the hydrogen fuel cell power generation unit and a hydrogen power generation hydrogen consumption rate relationship are established; According to the renewable energy power generation power relationship, the installed power value and the operation model of the electrochemical energy storage unit, a third operation power relationship of the electrochemical energy storage unit is established; According to the renewable energy power generation power relationship, the first operation power relationship, the hydrogen production rate relationship, the second operation power relationship, the hydrogen power generation hydrogen consumption rate relationship and the third operation power relationship, the synthetic ammonia power range is determined.

2. The method of claim 1, wherein, According to the plurality of installed capacity values, a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system are established, including: According to the plurality of installed capacity values, a plurality of investment values and a plurality of operation and maintenance cost values are calculated; According to the plurality of investment values, the total investment cost relationship is established; According to the plurality of operation and maintenance cost values, the total operation and maintenance cost relationship is established.

3. A capacity configuration optimization apparatus characterized by comprising: A device for controlling a system connected with a renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system, the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system including a renewable energy power generation unit, a water electrolysis hydrogen production unit, a hydrogen fuel cell power generation unit and an electrochemical energy storage unit; the device includes: An acquisition module for acquiring a plurality of operation models and a plurality of installed capacity values of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system; A first establishment module for establishing a synthetic ammonia energy production relationship of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system according to the plurality of installed capacity values and the plurality of operation models; A second establishment module for establishing a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system according to the plurality of installed capacity values; A third establishment module for establishing a target function according to the synthetic ammonia energy production relationship, the total investment cost relationship and the total operation and maintenance cost relationship with the lowest synthetic ammonia sales value of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system as the target; A solving module for encoding the plurality of installed capacity values into a chromosome of a genetic algorithm, and solving the target function by using the genetic algorithm to obtain a capacity configuration optimization result of the renewable energy hydrogen production synthetic ammonia coupling hydrogen power generation system; The first establishment module includes: A determination submodule for determining a plurality of installed power values according to the plurality of installed capacity values; A first establishment submodule for establishing a renewable energy power generation power relationship of the renewable energy power generation unit according to the plurality of installed capacity values and the plurality of installed power values; A second establishment submodule for establishing the synthetic ammonia energy production relationship according to the plurality of installed power values, the plurality of operation models and the renewable energy power generation power relationship; The second establishment submodule includes: The first establishing unit is configured to establish a synthetic ammonia hydrogen consumption rate relationship according to the plurality of installed power values, the plurality of operation models, and the renewable energy power generation power relationship; The second establishing unit is configured to establish the synthetic ammonia energy production relationship according to the synthetic ammonia hydrogen consumption rate relationship; The first establishing unit includes: The first determining sub-unit is configured to determine a synthetic ammonia power range according to the plurality of installed power values, the plurality of operation models, and the renewable energy power generation power relationship; The first establishing sub-unit is configured to establish a synthetic ammonia power relationship according to the synthetic ammonia power range; The second establishing sub-unit is configured to establish the synthetic ammonia hydrogen consumption rate relationship according to the synthetic ammonia power range and the synthetic ammonia power relationship; The first determining sub-unit includes: The third establishing sub-unit is configured to establish a first operation power relationship and a hydrogen production rate relationship of the water electrolysis hydrogen production unit according to the renewable energy power generation power relationship, an installed power value, and an operation model of the water electrolysis hydrogen production unit; The fourth establishing sub-unit is configured to establish a second operation power relationship and a hydrogen consumption rate relationship of the hydrogen fuel cell power generation unit according to the renewable energy power generation power relationship, an installed power value, and an operation model of the hydrogen fuel cell power generation unit; The fifth establishing sub-unit is configured to establish a third operation power relationship of the electrochemical energy storage unit according to the renewable energy power generation power relationship, an installed power value, and an operation model of the electrochemical energy storage unit; The second determining sub-unit is configured to determine the synthetic ammonia power range according to the renewable energy power generation power relationship, the first operation power relationship, the hydrogen production rate relationship, the second operation power relationship, the hydrogen consumption rate relationship, and the third operation power relationship.

4. A computer device, comprising: The memory and the processor are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the capacity configuration optimization method of claim 1 or 2. The computer readable storage medium stores computer instructions for causing a computer to perform the capacity configuration optimization method of claim 1 or 2.

5. A computer readable storage medium, characterized in that, The computer instructions are used to cause a computer to perform the capacity configuration optimization method of claim 1 or 2.

6. A computer program product, characterised in that, ​

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