Capacity configuration optimization method, device, equipment, medium and program product

Abstract

The invention relates to the technical field of electric power systems, and discloses a capacity configuration optimization method, device and equipment, a medium and a program product, a synthetic ammonia production capacity relational expression is established through a plurality of obtained operation models and a plurality of installation scale values, the operation characteristics and possible configuration conditions of all parts of a system can be comprehensively known, and the capacity configuration optimization method and device can be applied to the technical field of power systems. And the relationship between the production capacity of synthetic ammonia and each factor of the system can be quantified. Furthermore, by establishing a total investment cost relational expression and a total operation and maintenance cost relational expression, the cost composition of the system in the aspects of investment and operation and maintenance can be clearly known. Furthermore, an objective function is established by taking the lowest synthetic ammonia sale value as an objective, and the objective function is solved by utilizing a genetic algorithm, so that the capacity configuration of the system can be optimized on the whole, and the capacity configuration optimization result obtained by the mode can be used for realizing the capacity configuration optimization on the premise of ensuring the safety and reliability of the system. The economical efficiency of the renewable energy hydrogen production and synthesis ammonia coupling hydrogen power generation system is optimal.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a capacity configuration optimization method, device, equipment, medium and program product. Background Art

[0002] Traditional ammonia synthesis processes mainly rely on fossil energy such as coal and natural gas as raw materials, which not only leads to high carbon emissions, but also makes the cost of synthetic ammonia affected by the fluctuation of fossil energy prices. Using renewable energy (such as solar energy and wind energy) to produce hydrogen and then synthesize ammonia with nitrogen to achieve low-carbon or even carbon-free emissions in the entire production process is in line with the current development trend.

[0003] However, the hydrogen production and ammonia synthesis system based on renewable energy needs to be able to adapt to the volatility and intermittency of renewable energy, and also needs to meet the safety production 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, and off-grid renewable energy hydrogen production and ammonia synthesis systems have become an important development direction. Due to the lack of auxiliary support from the power grid, in order to ensure the safety and reliability of the hydrogen production and ammonia synthesis system, hydrogen power generation systems and electrochemical energy storage systems can be added as flexible supporting power sources to provide guaranteed power supply for compressors, pumps, valves, instruments and control systems of hydrogen production and ammonia synthesis (including air separation nitrogen production) systems to ensure the safety of critical infrastructure. However, the high investment cost of the entire system will increase the cost of ammonia synthesis. Therefore, in order to realize the industrialization of green ammonia based on renewable energy, it is necessary to first improve the cost competitiveness of green ammonia. Therefore, it is urgent to optimize the system capacity configuration to achieve the optimal economy of the hydrogen production and ammonia synthesis coupled hydrogen power generation system. Summary of the invention

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

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

[0006] Acquire multiple operation models and multiple installed capacity scale values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; establish a synthetic ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to the multiple installed capacity scale values ​​and the multiple operation models; establish a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to the multiple installed capacity scale values; take the lowest synthetic ammonia sales value of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system as the goal, establish an objective function according to the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship; encode the multiple installed capacity scale values ​​into chromosomes of a genetic algorithm, use the genetic algorithm to solve the objective function, and obtain the capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0007] The capacity configuration optimization method provided by the present invention can fully understand the operating characteristics and possible configurations of various parts of the system by obtaining multiple operating models and multiple installed capacity values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Further, a synthetic ammonia production capacity relationship is established based on the multiple information obtained, and the relationship between the production capacity of synthetic ammonia and various system factors can be quantified. Further, by establishing a total investment cost relationship and a total operation and maintenance cost relationship, the cost structure of the system in terms of investment and operation and maintenance can be clearly understood. Further, an objective function is established with the lowest synthetic ammonia sales value as the goal, and a genetic algorithm is used to solve it, which can optimize the capacity configuration of the system as a whole, and then the capacity configuration optimization result obtained in this way can achieve the optimal economy of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system under the premise of ensuring the safety and reliability of the system, and promote the industrialization development of green ammonia based on renewable energy.

[0008] In an optional embodiment, the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system includes a renewable energy power generation unit; according to multiple installed capacity values ​​and multiple operation models, a synthetic ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system is established, including:

[0009] Determine multiple installed capacity power values ​​based on multiple installed capacity scale values; establish a renewable energy power generation power relationship of a renewable energy power generation unit based on multiple installed capacity scale values ​​and multiple installed capacity power values; establish a synthetic ammonia production capacity relationship based on multiple installed capacity power values, multiple operation models and the renewable energy power generation power relationship.

[0010] The capacity configuration optimization method provided by the present invention determines multiple installed power values ​​according to multiple installed capacity scale values, further clarifies the power parameters of each device in the system, can more accurately reflect the actual working capacity of each part of the system, and provides a more accurate basis for the reasonable configuration of system capacity. Furthermore, combining the installed capacity scale value and the installed power value to establish a power relationship of renewable energy generation helps to understand the relationship between the power generation of renewable energy and other system factors, and then better grasp the change law of its power generation, so as to more effectively promote the consumption of renewable energy, improve energy utilization efficiency, and reduce energy waste.

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

[0012] According to multiple installed power values, multiple operation models and renewable energy power generation power relationship, a relationship for the rate of hydrogen consumption of synthetic ammonia is established; according to the relationship for the rate of hydrogen consumption of synthetic ammonia, a relationship for the production capacity of synthetic ammonia is established.

[0013] The capacity configuration optimization method provided by the present invention establishes a synthetic ammonia consumption hydrogen rate relationship based on multiple installed power values, multiple operating models and renewable energy power generation power relationship, which can clarify the relationship between the consumption of hydrogen in the synthetic ammonia production process and various system factors, and is of great significance for the reasonable arrangement of hydrogen production and supply, and ensuring the continuity and stability of synthetic ammonia production. It also helps to optimize the energy utilization efficiency of the system and reduce production costs. Furthermore, based on the synthetic ammonia consumption hydrogen rate relationship, a synthetic ammonia production capacity relationship is established, which further improves the calculation model of synthetic ammonia production capacity, and can more accurately predict and control the output of synthetic ammonia, flexibly adjust the production strategy according to market demand and system conditions, and improve the efficiency and competitiveness of synthetic ammonia production.

[0014] In an optional embodiment, a relationship for the rate of hydrogen consumption by synthetic ammonia is established based on multiple installed power values, multiple operation models, and a relationship for renewable energy power generation, including:

[0015] The synthetic ammonia power range is determined based on multiple installed power values, multiple operation models and renewable energy power generation power relationship; the synthetic ammonia power relationship is established based on the synthetic ammonia power range; and the synthetic ammonia consumption hydrogen rate relationship is established based on the synthetic ammonia power range and the synthetic ammonia power relationship.

[0016] The capacity configuration optimization method provided by the present invention determines the synthetic ammonia power range according to multiple installed power values, multiple operation models and renewable energy power generation power relationship, which can provide a reasonable power reference interval for the synthetic ammonia production process, and is helpful in actual operation. According to the energy supply of the system and the working capacity of the equipment, the production power of synthetic ammonia is reasonably adjusted to avoid problems such as low production efficiency or equipment damage caused by excessively high or too low power, and ensure the safety and stability of synthetic ammonia production. Further, the synthetic ammonia power relationship is established according to the synthetic ammonia power range, and the quantitative relationship between the synthetic ammonia power and other system factors is further clarified, so that the production power of synthetic ammonia can be more accurately controlled, the controllability and stability of production can be improved, and it is also helpful to optimize the energy allocation of the system and improve energy utilization efficiency. Finally, the synthetic ammonia consumption hydrogen rate relationship is established in combination with the synthetic ammonia power range and the synthetic ammonia power relationship, which can more accurately reflect the relationship between hydrogen consumption and power in the synthetic ammonia production process, which is important for rationally planning the preparation and storage of hydrogen, optimizing the energy structure of the system, and reducing production costs, and it is also helpful to improve the efficiency and quality of synthetic ammonia production.

[0017] In an optional embodiment, the renewable energy hydrogen production and ammonia synthesis coupled 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; according to multiple installed power values, multiple operation models and renewable energy power generation power relationship, the ammonia synthesis power range is determined, including:

[0018] According to the renewable energy power generation power relationship, the installed power value and operation model of the water electrolysis hydrogen production unit, the first operation power relationship and hydrogen production rate relationship of the water electrolysis hydrogen production unit are established; according to the renewable energy power generation power relationship, the installed power value and operation model of the hydrogen fuel cell power generation unit, the second operation power relationship and hydrogen power generation consumption rate relationship of the hydrogen fuel cell power generation unit are established; according to the renewable energy power generation power relationship, the installed power value and operation model of the electrochemical energy storage unit, the 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 consumption rate relationship and the third operation power relationship, the synthetic ammonia power range is determined.

[0019] The capacity configuration optimization method provided by the present invention can comprehensively describe the operating characteristics and energy consumption of each key unit in the system by respectively establishing the first operating power relationship and hydrogen production rate relationship of the water electrolysis hydrogen production unit, the second operating power relationship and hydrogen power generation consumption rate relationship of the hydrogen fuel cell power generation unit, and the third operating power relationship of the electrochemical energy storage unit, thereby helping to gain a deep understanding of the interaction and energy conversion relationship between the units, and providing a detailed basis for the overall optimization of the system. Further, according to the operating power and consumption rate relationship of each unit, combined with the renewable energy power generation power relationship, the synthetic ammonia power range is determined, and the influence of various factors in the system on the synthetic ammonia power can be comprehensively considered, so that the determined synthetic ammonia power range is more accurate and reasonable, which helps to better balance the energy distribution between the units in actual operation, improve the overall operation efficiency and stability of the system, and ensure the smooth progress of synthetic ammonia production.

[0020] In an optional embodiment, a total investment cost relationship and a total operation and maintenance cost relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system are established according to multiple installed capacity values, including:

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

[0022] The capacity configuration optimization method provided by the present invention calculates multiple investment values ​​and multiple operation and maintenance cost values ​​respectively through multiple installed capacity scale values, and can understand in detail the investment and operation and maintenance cost of the system under different installed capacity scales. Further, the total investment cost relationship and the total operation and maintenance cost relationship are established based on the calculated investment value and operation and maintenance cost value, which can intuitively reflect the cost structure and change trend of the system, and then through the analysis of the total investment cost relationship and the total operation and maintenance cost relationship, the key factors of cost control can be found, and corresponding measures can be taken to reduce costs, which provides support for improving the economic benefits and market competitiveness of the system.

[0023] In a second aspect, the present invention provides a capacity configuration optimization device for controlling a system, wherein the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; the device comprises:

[0024] An acquisition module, used to acquire multiple operation models and multiple installed capacity scale values ​​of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system;

[0025] The first establishment module is used to establish a synthetic ammonia production capacity relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to multiple installed capacity scale values ​​and multiple operation models; the second establishment module is used to establish a total investment cost relationship and a total operation and maintenance cost relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to multiple installed capacity scale values; the third establishment module is used to establish an objective function according to the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship with the goal of minimizing the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; the solution module is used to encode multiple installed capacity scale values ​​into chromosomes of a genetic algorithm, use the genetic algorithm to solve the objective function, and obtain the capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0026] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the capacity configuration optimization method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0027] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the capacity configuration optimization method of the first aspect or any corresponding embodiment thereof.

[0028] In a fifth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the capacity configuration optimization method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

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

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

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

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

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

[0035] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0037] The embodiment of the present invention provides a capacity configuration optimization method, which obtains the system operation model and the installed capacity value, establishes the relationship between the synthetic ammonia production capacity and the cost, and establishes and solves the objective function with the goal of minimizing the synthetic ammonia sales value to achieve the optimal economic effect of the renewable energy hydrogen production and ammonia coupling hydrogen power generation system under the premise of ensuring the safety and reliability of the system.

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

[0039] In this embodiment, a capacity configuration optimization method is provided for a control system, wherein the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0040] Specifically, the renewable energy hydrogen production and ammonia synthesis coupled 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 water electrolysis hydrogen production units and ammonia synthesis units with certain flexible response capabilities. The hydrogen fuel cell power generation unit provides guaranteed electricity for the entire system when renewable energy power is lacking. The hydrogen production unit produces hydrogen and stores it in the hydrogen storage unit, and then supplies it to the ammonia synthesis unit and the hydrogen fuel cell power generation unit. The electrochemical energy storage unit is used to smooth the renewable energy power generation output and provide a part of the guaranteed electricity.

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

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

[0044] Step S101, obtaining multiple operation models and multiple installed capacity scale values ​​of a renewable energy hydrogen production and ammonia synthesis coupled 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 structures of the relationships and changing laws among key parameters (such as power, rate, capacity, etc.) of each unit under different operating conditions. They are used to reflect the energy conversion, material flow and synergy of each unit with other units, and help understand, predict and optimize the system operation status, so as to achieve the system while ensuring safety and reliability, while improving energy utilization efficiency and economy.

[0046] Multiple installed capacity values ​​represent the installed capacity of each unit in the renewable energy hydrogen production, ammonia synthesis and hydrogen power generation system. It is a comprehensive expression of the capacity-related parameters of each unit equipment, reflecting the installed capacity of each unit 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 economic operation of the entire system.

[0047] Specifically, the multiple operation models may include:

[0048] (1) Operation model of water electrolysis hydrogen production unit: 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 power, and operating time during the water 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 in the ammonia synthesis process and other system factors (such as renewable energy power generation, hydrogen storage capacity, 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, hydrogen consumption rate, and other factors during the hydrogen fuel cell power generation process, such as the operating power of the water electrolysis hydrogen production unit, the operating power of the synthetic ammonia unit, and the power generation power of renewable energy. 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, hydrogen desorption rate, etc. 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 the parameters of the electrochemical energy storage unit, such as energy storage discharge power, energy storage charging power, and energy storage charge capacity, 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] Further, the multiple installed capacity values ​​may include:

[0054] (1) Renewable energy power generation installed capacity: It 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 hydrogen production: It indicates the total power or production capacity of the water electrolysis hydrogen production unit. It can determine the system's ability to produce hydrogen, which in turn directly affects the supply of hydrogen required for synthetic ammonia production.

[0056] (3) Synthetic ammonia installed capacity value: It represents the total production capacity of the synthetic ammonia unit, which can determine the maximum amount of synthetic ammonia that the system can produce and is directly related to the production capacity of synthetic ammonia.

[0057] (4) Hydrogen fuel cell power generation installed capacity value: It represents the total power of the hydrogen fuel cell power generation unit, which can reflect the system's ability to use hydrogen to generate electricity, and thus affects the redistribution and utilization efficiency of energy within the system.

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

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

[0060] Step S102, based on multiple installed capacity values ​​and multiple operation models, establish a synthetic ammonia production capacity relationship of a renewable energy hydrogen production and ammonia synthesis coupled with a hydrogen power generation system.

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

[0062] Step S103, establishing a total investment cost relationship and a total operation and maintenance cost relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to multiple installed capacity values.

[0063] Among them, the total investment cost relationship 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 value of each part of the system.

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

[0065] Specifically, by coupling the installed capacity values ​​of each unit in the hydrogen power generation system using renewable energy to produce hydrogen and synthesize ammonia, the corresponding total investment cost relationship and total operation and maintenance cost relationship can be determined and established.

[0066] Step S104, with the goal of minimizing the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia coupled hydrogen power generation system, establish an objective function based on the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship.

[0067] The objective function is used to characterize the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia coupled hydrogen power generation system. Furthermore, the synthetic ammonia sales value represents the synthetic ammonia sales price that meets the gross profit margin target.

[0068] Specifically, the corresponding synthetic ammonia sales value 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] Where: SP A Indicates the sales value of synthetic ammonia; T total represents the total investment cost value, which can be calculated according to the total investment cost relationship; Y represents the equipment depreciation period; O total Represents the total operation and maintenance cost value, which can be calculated according to the total operation and maintenance cost relationship; TP AIt represents the synthetic ammonia production capacity value, which can be calculated according to the synthetic ammonia production capacity relationship; R represents the gross profit margin.

[0071] Step S105, encoding multiple installed capacity values ​​into chromosomes of a genetic algorithm, solving the objective function using the genetic algorithm, and obtaining a capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0072] Among them, genetic algorithm refers to a random search algorithm based on natural selection and genetic mechanism, which searches for the optimal solution by simulating the biological evolution process. The main operations may include selection, crossover and mutation.

[0073] Specifically, the installed capacity value of each unit can be encoded into a chromosome of a genetic algorithm using a predetermined encoding method, and then the genetic algorithm is used to solve the objective function to obtain the optimal configuration plan of the installed capacity of each unit to achieve the lowest sales value of synthetic ammonia.

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

[0075] In an optional embodiment, since the installed capacity value of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system is a continuous value, real number encoding is used, 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 can fully understand the operating characteristics and possible configurations of each part of the system by obtaining multiple operating models and multiple installed capacity values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Further, based on the multiple information obtained, a synthetic ammonia production capacity relationship is established, and the relationship between the production capacity of synthetic ammonia and various system factors can be quantified. Further, by establishing a total investment cost relationship and a total operation and maintenance cost relationship, the cost structure of the system in terms of investment and operation and maintenance can be clearly understood. Further, an objective function is established with the goal of minimizing the selling value of synthetic ammonia, and a genetic algorithm is used to solve it, which can optimize the capacity configuration of the system as a whole, and then the capacity configuration optimization result obtained in this way can achieve the optimal economy of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system under the premise of ensuring the safety and reliability of the system, and promote the industrialization development of green ammonia based on renewable energy.

[0077] In this embodiment, a capacity configuration optimization method is provided for a control system, wherein the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 2 is a flow chart of a capacity configuration optimization method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0078] Step S201, obtain multiple operation models and multiple installed capacity values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0079] Step S202, based on multiple installed capacity values ​​and multiple operation models, establish a synthetic ammonia production capacity relationship of a renewable energy hydrogen production and ammonia synthesis coupled with a hydrogen power generation system.

[0080] Specifically, the above step S202 includes:

[0081] Step S2021, determining multiple installed power values ​​according to multiple installed capacity scale values.

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

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

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

[0085] Step S2022: establishing a renewable energy generation power relationship of a renewable energy generation unit according to a plurality of installed capacity scale values ​​and a plurality of installed capacity power values.

[0086] Specifically, the power generation relationship of renewable energy is shown in the following relationship (2):

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

[0088] Where: PRE，t represents the renewable energy power generation at time t; P HY，t represents the hydroelectric power at time t, as shown in the following equation (3); P W，t represents the wind power generation at time t, as shown in the following equation (4); P PV，t represents the photovoltaic power generation at time t, as shown in the following equation (5); P ST，t represents the CSP power 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] Where: I HY represents the installed hydroelectric power, p HY，t represents the hydroelectric power output curve at time t; I W represents the installed power of wind power; p W，t represents the wind power output curve at time t; I PV represents the installed power of photovoltaic power generation; p PV，t Represents the photovoltaic power generation output curve at time t; I ST represents the installed power of CSP; p ST，t Represents the CSP output curve at time t.

[0094] Step S2023, establishing a synthetic ammonia production capacity relationship according to multiple installed power values, multiple operation models and renewable energy power generation relationship.

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

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

[0097] Step a1, establishing a relationship between the rate of hydrogen consumption by synthetic ammonia based on multiple installed power values, multiple operating models and renewable energy power generation relationship.

[0098] Specifically, by combining multiple installed power values, multiple operating models and renewable energy power generation power relationship, the relationship between the hydrogen consumption rate 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 optional implementations, the above step a1 includes:

[0100] Step a11, determining the synthetic ammonia power range according to multiple installed power values, multiple operation models and renewable energy power generation power relationship.

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

[0102] Step a111, 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, the installed power value and the operation model 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] Where: P H，t P represents the hydrogen production power at time t, i.e., the operating power; Hmax represents the maximum hydrogen production power, as shown in the following equation (8); P Hmin represents the minimum hydrogen production power, as shown in the following equation (9); P′ H，t represents the hydrogen production power generated at time t, as shown in the following equation (10); P Hs 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] Where: P A，t represents the ammonia synthesis power at time t; I H Indicates the installed power of hydrogen production; F Hmax Indicates the maximum hydrogen production power range; F Hmin Indicates the minimum hydrogen production power range; E H Indicates the unit energy consumption of hydrogen production; HS，t-1 Indicates the amount of hydrogen stored at time t-1; H SC Indicates the rated hydrogen storage capacity; η HS Indicates the hydrogen storage adjustment factor; H A，t It represents the rate of hydrogen consumption in synthesizing ammonia at time t.

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

[0111]

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

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

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

[0115] Where: H HP，t Indicates 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 synthesizing ammonia, the above relationship can be used to determine the amount of hydrogen that can be produced at different times, thereby affecting the output of synthesized ammonia.

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

[0118] Specifically, the second operating power relationship and the hydrogen consumption rate relationship of hydrogen power generation are respectively shown in the following relationships (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] Where: P HP，t represents the hydrogen power generation power at time t; E HP Indicates the amount of electricity generated per unit of hydrogen.

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

[0123] P HPmin ≤P HP，t ≤P HPmax (15)

[0124] Where: P HPmin represents the minimum hydrogen power generation power, as shown in the following equation (16); P HPmax represents the maximum hydrogen power generation power, as shown in the following equation (17).

[0125] P HPmax =I HP ·F HPmax (16)

[0126] P HPmin =I HP ·F HPmin (17)

[0127] Where: I HP Indicates the installed capacity of hydrogen power generation.

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

[0129] Step a113, establishing a third operating power relationship equation of the electrochemical energy storage unit according to the renewable energy power generation power relationship equation, the installed power value of the electrochemical energy storage unit and the operating model.

[0130] Specifically, the third operating power relationship is shown in the following relationships (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] Where: P Bdischa，tRepresents the energy storage discharge power at time t; I B Represents the installed power of energy storage; P Bcha，t represents the energy storage charging power at time t; B t Represents the energy storage charge capacity at time t; η B Indicates the energy efficiency of energy storage charging and discharging; B max Represents 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. By storing and releasing energy, it can adjust 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 production capacity.

[0136] Step a114, determining the synthetic ammonia power range according to the renewable energy power generation power relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen power generation hydrogen consumption rate relationship and the third operating power relationship.

[0137] Specifically, according to the description of steps a111 to a114 above, on the basis of 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 power generation hydrogen consumption rate relationship and the third operating power relationship, the synthetic ammonia power range can be further determined.

[0138] First, the power range F of synthetic ammonia is generated according to the power of renewable energy generation. A ′ ,t , as shown in the following relation (21):

[0139]

[0140] Where: ΔF A Indicates the hourly synthetic ammonia adjustment ratio; F Amin Indicates the minimum synthetic ammonia power range; F Amax Indicates the maximum synthetic ammonia power range; P REmax represents the maximum renewable energy power generation power; α represents the renewable energy power generation power segmentation coefficient calculated according to the synthetic ammonia adjustment ratio, as shown in the following equation (22); N represents the number of renewable energy power generation segments calculated according to the synthetic ammonia adjustment ratio, as shown in the following equation (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 synthetic ammonia power range is adjusted according to the hydrogen storage capacity and the hydrogen power generation power, as shown in the following equations (24) to (26):

[0144]

[0145] Where: F A,t Indicates the adjusted synthetic ammonia power range at time t; Indicates the synthetic ammonia power range adjusted according to the hydrogen storage capacity; η HSU Indicates the upper limit coefficient of hydrogen storage regulation; η HSL Indicates the lower limit coefficient of hydrogen storage regulation; N SCmin Indicates the minimum hydrogen storage capacity; Indicates the synthetic ammonia power range adjusted according to the hydrogen power generation power; P Amin Indicates the minimum ammonia synthesis power.

[0146] Finally, the synthetic ammonia power range can be constrained according to the load regulation rate and the safety of key infrastructure equipment, 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] Where: F As Indicates the minimum power range required to ensure the safety of key infrastructure equipment in the synthetic ammonia system.

[0151] Step a12, establishing a synthetic ammonia power relationship according to the synthetic ammonia power range.

[0152] Specifically, the power relationship of synthetic ammonia is as shown in the following relationship (30):

[0153]

[0154] Where: I A Indicates the installed power of synthetic ammonia.

[0155] Step a13, establishing a relationship between the rate of hydrogen consumption by synthesizing ammonia according to the power range of synthesizing ammonia and the power relationship of synthesizing ammonia.

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

[0157] Furthermore, the relationship between the rate of hydrogen consumption by synthetic ammonia is shown in the following relationship (31):

[0158]

[0159] Where: η HA Indicates the hydrogen-ammonia mass conversion coefficient; E A Indicates the unit energy consumption of synthetic ammonia.

[0160] Step a2, establishing a synthetic ammonia production capacity relationship based on the synthetic ammonia consumption rate relationship.

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

[0162]

[0163] Where: TP A Represents the synthetic ammonia production capacity.

[0164] Step S203: 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 according to multiple installed capacity values. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0165] Step S204, with the goal of minimizing the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia coupled hydrogen power generation system, establish an objective function based on the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0166] Step S205, encode multiple installed capacity values ​​into chromosomes of a genetic algorithm, use the genetic algorithm to solve the objective function, and obtain the capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0167] The capacity configuration optimization method provided in this embodiment can comprehensively describe 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 of the water electrolysis hydrogen production unit, the second operating power relationship and hydrogen power generation consumption rate relationship of the hydrogen fuel cell power generation unit, and the third operating power relationship of the electrochemical energy storage unit, thereby helping to deeply understand the interaction and energy conversion relationship between the units, and providing a detailed basis for the overall optimization of the system. Further, according to the operating power and consumption rate relationship of each unit, combined with the renewable energy power generation power relationship, the synthetic ammonia power range is determined, and the influence of various factors in the system on the synthetic ammonia power can be comprehensively considered, so that the determined synthetic ammonia power range is more accurate and reasonable, which helps to better balance the energy distribution between the units in actual operation, improve the overall operation efficiency and stability of the system, and ensure the smooth production of synthetic ammonia. Further, according to the synthetic ammonia power range, the synthetic ammonia power relationship is established, and the quantitative relationship between the synthetic ammonia power and other system factors is further clarified, so that the production power of synthetic ammonia can be more accurately controlled, the controllability and stability of production can be improved, and it also helps to optimize the energy distribution of the system and improve energy utilization efficiency. Finally, the relationship between the rate of hydrogen consumption of synthetic ammonia and the power relationship of synthetic ammonia is established, which can more accurately reflect the relationship between hydrogen consumption and power in the production process of synthetic ammonia. This is important for the rational planning of hydrogen production and storage, optimizing the energy structure of the system, and reducing production costs. It also helps to improve the efficiency and quality of synthetic ammonia production. Finally, based on the relationship between the rate of hydrogen consumption of synthetic ammonia, the relationship between synthetic ammonia production capacity is established, which further improves the calculation model of synthetic ammonia production capacity, and can more accurately predict and control the output of synthetic ammonia, flexibly adjust the production strategy according to market demand and system conditions, and improve the efficiency and competitiveness of synthetic ammonia production.

[0168] In this embodiment, a capacity configuration optimization method is provided for a control system, wherein the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 3 is a flow chart of a capacity configuration optimization method according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0169] Step S301, obtain multiple operation models and multiple installed capacity values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0170] Step S302: Based on multiple installed capacity values ​​and multiple operation models, establish a synthetic ammonia capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled with hydrogen power generation system. Figure 2Step S202 of the illustrated embodiment will not be described in detail here.

[0171] Step S303, establishing a total investment cost relationship and a total operation and maintenance cost relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to multiple installed capacity values.

[0172] Specifically, the above step S303 includes:

[0173] Step S3031, calculating multiple investment values ​​and multiple operation and maintenance cost values ​​according to multiple installed capacity scale values.

[0174] Specifically, the investment value of each unit can be determined according to the installed capacity value 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] Where: T HYrepresents the investment value of hydropower generation; t HYpu Indicates the unit power investment value of hydropower generation; T W represents the investment value of wind power generation; t Wpu Indicates the unit power investment value of wind power generation; T PV Represents the investment value of photovoltaic power generation; T PV Represents the unit power investment value of photovoltaic power generation; T ST represents the investment value of CSP; t STpu Indicates the unit power investment value of CSP; T H Indicates the investment value of hydrogen production by water electrolysis; t Hpu Indicates the unit power investment value of hydrogen production by water electrolysis; T A represents the investment value of synthetic ammonia; t Apu Indicates the unit power investment value of synthetic ammonia; T HP represents the investment value of hydrogen fuel cell power generation; t HPpu Indicates the unit power investment value of hydrogen fuel cell power generation; T SC Indicates the investment value of hydrogen storage; t SCpu Indicates the investment value per unit capacity of hydrogen storage; T B represents the investment value of electrochemical energy storage; t Bpu Represents the investment value per unit power of electrochemical energy storage.

[0185] Further, specifically, the operation and maintenance cost value of each unit can be determined according to the installed capacity value 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] Where: O HY represents the annual operation and maintenance cost of hydropower generation; Co HYpu represents the annual operation and maintenance cost per unit power of hydropower generation; W represents the annual operation and maintenance cost of wind power generation; Co Wpu represents the annual operation and maintenance cost per unit power of wind power generation; PV represents the annual operation and maintenance cost of photovoltaic power generation; Co PVpu Represents the annual operation and maintenance cost per unit power of photovoltaic power generation; ST represents the annual operation and maintenance cost of CSP; Co STpu represents the annual operation and maintenance cost per unit power of CSP; H represents the annual operation and maintenance cost of hydrogen production by water electrolysis; Co Hpu represents the annual operation and maintenance cost per unit power of hydrogen production by water electrolysis; A represents the annual operation and maintenance cost of synthetic ammonia; Co HPpu Represents the annual operation and maintenance cost per unit power of synthetic ammonia; HP 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; SC represents the annual operation and maintenance cost of hydrogen storage; Co SCpu represents the annual operation and maintenance cost per unit capacity of hydrogen storage; B represents the annual operation and maintenance cost of electrochemical energy storage; Co Bpu Represents the annual operation and maintenance cost per unit power of electrochemical energy storage.

[0196] Step S3032, establishing a total investment cost relationship based on multiple investment values.

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

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

[0199] Where: T total Represents the total investment cost value.

[0200] Step S3033: establishing a total operation and maintenance cost relationship equation according to multiple operation and maintenance cost values.

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

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

[0203] Where: O total Indicates the total operation and maintenance cost value.

[0204] Step S304, with the goal of minimizing the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia coupled hydrogen power generation system, establish an objective function based on the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0205] Step S305, encode multiple installed capacity values ​​into chromosomes of a genetic algorithm, use the genetic algorithm to solve the objective function, and obtain the capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0206] The capacity configuration optimization method provided in this embodiment calculates multiple investment values ​​and multiple operation and maintenance cost values ​​respectively through multiple installed capacity scale values, and can understand in detail the investment and operation and maintenance cost of the system under different installed capacity scales. Furthermore, the total investment cost relationship and the total operation and maintenance cost relationship are established based on the calculated investment value and operation and maintenance cost value, which can intuitively reflect the cost structure and change trend of the system. Then, through the analysis of the total investment cost relationship and the total operation and maintenance cost relationship, the key factors of cost control can be found, and corresponding measures can be taken to reduce costs, which provides support for improving the economic benefits and market competitiveness of the system.

[0207] In one example, if Figure 4 As shown, a renewable energy hydrogen production and ammonia synthesis coupled 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 supplies the water electrolysis hydrogen production unit and the ammonia synthesis unit with a certain flexible response capability. The hydrogen fuel cell power generation unit provides guaranteed power for the entire system when renewable energy power is insufficient. The hydrogen production unit produces hydrogen and stores it in the hydrogen storage unit, and then supplies it to the ammonia synthesis unit and the hydrogen fuel cell power generation unit. The electrochemical energy storage unit is used to smooth the renewable energy power generation output and provide a part of guaranteed power.

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

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

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

[0211] (2) Determine the synthetic ammonia production capacity based on the installed power of the water electrolysis hydrogen production unit and the operation model of the water electrolysis hydrogen production unit, the installed power of the synthetic ammonia unit and the operation model of the synthetic ammonia unit, the installed power of the hydrogen fuel cell power generation unit and the operation model of the hydrogen fuel cell power generation unit, and the installed power of the electrochemical energy storage unit and the 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 synthetic ammonia sales price that meets the gross profit margin target based on the synthetic ammonia production capacity;

[0213] (4) Taking the lowest synthetic ammonia sales price as the optimization goal, 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 into the chromosomes of the genetic algorithm. The genetic algorithm is used to solve the optimal configuration plan of the installed capacity of each unit to achieve the lowest synthetic ammonia sales price.

[0214] The calculation formula for renewable energy power generation is shown in the above equations (2) to (6).

[0215] Furthermore, the water electrolysis hydrogen production unit operation model calculates the water electrolysis hydrogen production unit operation power and hydrogen production rate according to the renewable energy power generation and the installed power of the water electrolysis hydrogen production unit. The calculation formula is shown in the above-mentioned relationship equations (7) to (12).

[0216] Further, the synthetic ammonia unit operation model includes the following steps:

[0217] a) The power range of synthetic ammonia generated according to the power generated by renewable energy is shown in the above-mentioned equations (21) to (23).

[0218] b) Adjusting the synthetic ammonia power range according to the hydrogen storage capacity and the hydrogen power generation power, as shown in the above-mentioned equations (24) to (26).

[0219] c) Constrain the synthetic ammonia power range based on the load regulation rate and the safety of key infrastructure equipment, as shown in the above relationships (27) to (29).

[0220] d) Ammonia synthesis power range The ammonia synthesis power and the rate at which hydrogen is consumed by ammonia synthesis are calculated as shown in the above-mentioned equations (30) to (32).

[0221] Furthermore, the hydrogen fuel cell power generation unit operation model calculates the operating power of the hydrogen power generation system and the hydrogen consumption rate of hydrogen power generation based on the operating power of the water electrolysis hydrogen production unit, the operating power of the ammonia synthesis unit, the renewable energy power generation power, etc. The calculation formula is shown in the above-mentioned relationship equations (13) to (17).

[0222] Furthermore, the electrochemical energy storage unit operation model and the electrochemical energy storage unit operation power calculation formula are shown in the above-mentioned relationship equations (18) to (20).

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

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

[0225] b) Determine the operation and maintenance cost of each unit and the total operation and maintenance cost according to 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 synthetic ammonia sales price that meets the gross profit margin target based on the synthetic ammonia production capacity, as shown in the above relationship (1).

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

[0228] (1) The coupled hydrogen power generation system provides guaranteed electricity 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 synthetic ammonia 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, synthetic ammonia, hydrogen fuel cell power generation, hydrogen storage, and electrochemical energy storage is optimized through genetic algorithms, which can effectively reduce the production cost of synthetic ammonia and improve the cost competitiveness of renewable energy hydrogen production and synthetic ammonia.

[0231] In this embodiment, a capacity configuration optimization device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

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

[0233] The acquisition module 501 is used to obtain multiple operation models and multiple installed capacity scale values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

[0234] The first establishing module 502 is used to establish a synthetic ammonia production capacity relationship of a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to multiple installed capacity scale values ​​and multiple operation models.

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

[0236] The third establishment module 504 is used to establish an objective function based on the relationship between the ammonia production capacity, the total investment cost and the total operation and maintenance cost, with the goal of minimizing the sales value of the ammonia produced by the renewable energy hydrogen production and ammonia coupled hydrogen power generation system.

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

[0238] In some optional embodiments, the renewable energy hydrogen production and ammonia synthesis 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 ​​according to multiple installed capacity scale values.

[0240] The first establishing submodule is used to establish a renewable energy power generation relational expression of a renewable energy power generation unit according to a plurality of installed capacity scale values ​​and a plurality of installed capacity power values.

[0241] The second submodule is used to establish a synthetic ammonia production capacity relationship based on multiple installed power values, multiple operation models and renewable energy power generation power relationship.

[0242] In some optional implementations, the second establishing submodule includes:

[0243] The first establishing unit is used to establish a relationship between the rate of hydrogen consumption of synthetic ammonia according to multiple installed power values, multiple operation models and renewable energy power generation relationship.

[0244] The second establishing unit is used to establish a synthetic ammonia production capacity relationship according to the synthetic ammonia consumption hydrogen rate relationship.

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

[0246] The first determination subunit is used to determine the synthetic ammonia power range according to multiple installed power values, multiple operation models and renewable energy power generation power relationship.

[0247] The first establishing subunit is used to establish a synthetic ammonia power relationship according to the synthetic ammonia power range.

[0248] The second establishing subunit is used to establish a synthetic ammonia consumption hydrogen rate relationship according to the synthetic ammonia power range and the synthetic ammonia power relationship.

[0249] In some optional embodiments, the renewable energy hydrogen production and ammonia synthesis coupled 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 determining subunit includes:

[0250] The third establishing subunit is used to establish 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, the installed power value and the operation model of the water electrolysis hydrogen production unit.

[0251] The fourth establishing subunit is used to establish a second operating power relationship of the hydrogen fuel cell power generation unit and a relationship between the hydrogen consumption rate of hydrogen power generation according to the renewable energy power generation power relationship, the installed power value and the operating model of the hydrogen fuel cell power generation unit.

[0252] The fifth establishing subunit is used to establish a third operating power relationship equation of the electrochemical energy storage unit according to the renewable energy power generation power relationship equation, the installed power value of the electrochemical energy storage unit and the operating model.

[0253] The second determination subunit is used to determine the synthetic ammonia power range according to the renewable energy power generation power relationship, the first operating power relationship, the hydrogen production rate relationship, the second operating power relationship, the hydrogen power generation hydrogen consumption rate relationship and the third operating power relationship.

[0254] In some optional implementations, the second establishing module 503 includes:

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

[0256] The third establishing submodule is used to establish a total investment cost relationship according to multiple investment values.

[0257] The fourth establishing submodule is used to establish a total operation and maintenance cost relationship according to multiple operation and maintenance cost values.

[0258] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

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

[0260] The embodiment of the present invention also provides a computer device having the above Figure 5 The capacity configuration shown is optimized for the device.

[0261] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0262] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0263] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0264] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

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

[0266] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0267] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0268] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

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

Claims

1. A capacity configuration optimization method, characterized in that: Used for a control system, the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; the method comprises: Acquire multiple operation models and multiple installed capacity scale values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; According to the multiple installed capacity values ​​and the multiple operation models, establishing a synthetic ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; Establishing a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to the multiple installed capacity values; Taking the lowest synthetic ammonia sales value of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system as the goal, an objective function is established according to the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship; The multiple installed capacity values ​​are encoded as chromosomes of a genetic algorithm, and the objective function is solved using the genetic algorithm to obtain a capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

2. The method according to claim 1, characterized in that The renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system comprises a renewable energy power generation unit; according to the multiple installed capacity values ​​and the multiple operation models, a synthetic ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system is established, including: Determining a plurality of installed capacity values ​​according to the plurality of installed capacity scale values; Establishing a renewable energy generation power relationship of the renewable energy generation unit according to the multiple installed capacity scale values ​​and the multiple installed capacity power values; The synthetic ammonia production capacity relationship is established according to the multiple installed power values, the multiple operation models and the renewable energy power generation power relationship.

3. The method according to claim 2, characterized in that The synthetic ammonia production capacity relationship is established according to the multiple installed power values, the multiple operation models and the renewable energy power generation relationship, including: Establishing a relationship between ammonia synthesis and hydrogen consumption rate according to the multiple installed power values, the multiple operation models and the renewable energy power generation relationship; The synthetic ammonia production capacity relationship is established according to the synthetic ammonia consumption hydrogen rate relationship.

4. The method according to claim 3, characterized in that According to the multiple installed power values, the multiple operation models and the renewable energy power generation power relationship, a relationship for the rate of hydrogen consumption by synthetic ammonia is established, including: Determining a synthetic ammonia power range according to the multiple installed power values, the multiple operation models and the renewable energy power generation power relationship; Establishing a synthetic ammonia power relationship according to the synthetic ammonia power range; According to the synthetic ammonia power range and the synthetic ammonia power relationship, the synthetic ammonia consumption hydrogen rate relationship is established.

5. The method according to claim 4, characterized in that The renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system also includes a water electrolysis hydrogen production unit, a hydrogen fuel cell power generation unit and an electrochemical energy storage unit; Determining a synthetic ammonia power range according to the multiple installed power values, the multiple operation models, and the renewable energy power generation power relationship formula includes: According to the renewable energy power generation power relationship, the installed power value and the operation model of the water electrolysis hydrogen production unit, a first operation power relationship and a hydrogen production rate relationship of the water electrolysis hydrogen production unit are established; 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 and a hydrogen power generation consumption rate relationship of the hydrogen fuel cell power generation unit are established; Establishing a third operating power relationship formula of the electrochemical energy storage unit according to the renewable energy power generation power relationship formula, the installed power value and the operating model of the electrochemical energy storage unit; The synthetic ammonia power range is determined 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 power generation hydrogen consumption rate relationship and the third operating power relationship.

6. The method according to claim 1, characterized in that The total investment cost relationship and the total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system are established according to the multiple installed capacity values, including: Calculating multiple investment values ​​and multiple operation and maintenance cost values ​​according to the multiple installed capacity scale values; Establishing the total investment cost relationship according to the multiple investment values; The total operation and maintenance cost relationship equation is established according to the multiple operation and maintenance cost values.

7. A capacity configuration optimization device, characterized in that: Used for a control system, the control system is connected to a renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; the device comprises: An acquisition module, used to acquire multiple operation models and multiple installed capacity scale values ​​of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system; A first establishing module is used to establish a synthetic ammonia production capacity relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to the multiple installed capacity values ​​and the multiple operation models; The second establishment module is used to establish a total investment cost relationship and a total operation and maintenance cost relationship of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system according to the multiple installed capacity values; The third establishment module is used to establish an objective function based on the synthetic ammonia production capacity relationship, the total investment cost relationship and the total operation and maintenance cost relationship, with the goal of minimizing the synthetic ammonia sales value of the renewable energy hydrogen production and ammonia coupled hydrogen power generation system; A solution module is used to encode the multiple installed capacity values ​​into chromosomes of a genetic algorithm, and use the genetic algorithm to solve the objective function to obtain a capacity configuration optimization result of the renewable energy hydrogen production and ammonia synthesis coupled hydrogen power generation system.

8. A computer device, characterized in that: include: 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 capacity configuration optimization method according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the capacity configuration optimization method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to enable a computer to execute the capacity configuration optimization method according to any one of claims 1 to 6.

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