Capacity configuration method and device for renewable energy hydrogen production and hydrogen metallurgy system

Abstract

The invention relates to the technical field of comprehensive energy, in particular to a renewable energy source hydrogen production and hydrogen metallurgy system capacity configuration method and device, and the method comprises the steps: building a main element simulation model in a target renewable energy source hydrogen production and hydrogen metallurgy system, so as to generate a system coordinated operation strategy; based on a pre-established renewable energy source hydrogen production and hydrogen metallurgy system capacity optimization configuration model and a system coordinated operation strategy, carrying out annual operation simulation on the target renewable energy source hydrogen production and hydrogen metallurgy system so as to obtain a plurality of capacity configuration schemes; and calculating a comprehensive score of the plurality of capacity configuration schemes so as to determine a final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgy system according to the comprehensive score. According to the method, year-round operation simulation can be carried out based on the system coordinated operation strategy and the renewable energy hydrogen production and hydrogen metallurgy system capacity optimization configuration model, an improved algorithm is adopted for solving, and the optimal capacity configuration of the renewable energy hydrogen production and hydrogen metallurgy system is determined.

Description

Technical Field

[0001] The present application relates to the field of integrated energy technology, and in particular to a capacity configuration method and device for renewable energy hydrogen production and hydrogen metallurgical systems. Background Art

[0002] With the rapid development of human society and the rapid progress of science and technology, energy demand is growing. Hydrogen energy, as an ideal clean energy, has the advantages of long-term storage, low carbon emissions, no pollution to the environment, flexible application, and convenient transportation. In addition, hydrogen production equipment has a long service life, and the source of hydrogen production raw materials is wide and easy to obtain. Using renewable energy to produce hydrogen, the excess electricity is converted into hydrogen and stored through electric hydrogen production equipment, which provides a new technical means for the large-scale development, utilization and consumption of wind energy and photovoltaics. Increasing the proportion of renewable energy use in high-energy-consuming industries has become an inevitable trend to solve the consumption bottleneck brought about by the further growth of renewable energy and the problem of low-carbon development in high-energy-consuming industries.

[0003] Among the related technologies, the metallurgical industry must transform to green, low-carbon and high-quality development, develop new low-carbon smelting processes, and increase the proportion of green electricity use and the conversion efficiency of multi-source energy such as electricity, heat and hydrogen. With the development and progress of technology, the efficiency of hydrogen production from renewable energy has gradually increased, and the cost has further decreased compared with the past. "Replacing carbon with hydrogen" in metallurgical production has become an important way to achieve low-carbon transformation in the steel industry. The green hydrogen metallurgical process that combines renewable energy hydrogen production with metallurgy will also become an important tool to solve the problem of high-proportion renewable energy consumption and promote low-carbon transformation in the metallurgical industry.

[0004] However, in the relevant technologies, there are still many difficulties in the joint operation of renewable energy hydrogen production and hydrogen metallurgical systems: first, the wide power fluctuation characteristics of high-proportion renewable energy power generation systems restrict the efficient and stable operation of hydrogen production devices, and will affect the dynamic operation characteristics of electrolyzers and hydrogen production efficiency; second, there are complex redox reactions and heat exchange processes in the metallurgical process, and the flow relationship between energy flow and material flow in green hydrogen metallurgical systems is difficult to determine; and the random fluctuations of renewable energy are difficult to match the demand for high-temperature hydrogen reduction gas supply in hydrogen metallurgical processes, and the stable working conditions required for efficient production of hydrogen metallurgical processes are also difficult to match the wide power random fluctuation characteristics of renewable energy. How to reasonably configure the capacity of each part of the system to achieve efficient operation of hydrogen production devices and stable production of hydrogen-based vertical furnaces under high proportions of renewable energy is an urgent problem to be solved. Summary of the invention

[0005] The present application provides a capacity configuration method and device for a renewable energy hydrogen production and hydrogen metallurgical system to solve the problems in the related technology that renewable energy hydrogen production efficiency and stability are lacking, the flow relationship between energy flow and material flow in the green hydrogen metallurgical system is difficult to determine, and there is an imbalance in supply and demand between renewable energy hydrogen production and hydrogen metallurgical quality inspection, and the operating characteristics do not match. The problem is how to reasonably configure the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy.

[0006] The first aspect of the present application provides a capacity configuration method for a renewable energy hydrogen production and hydrogen metallurgical system, comprising the following steps: establishing a simulation model of the main components in a target renewable energy hydrogen production and hydrogen metallurgical system to generate a system coordinated operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system based on the simulation model of the main components; based on a pre-established capacity optimization configuration model for the renewable energy hydrogen production and hydrogen metallurgical system and the system coordinated operation strategy, performing a full-year operation simulation on the target renewable energy hydrogen production and hydrogen metallurgical system to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system; calculating a comprehensive score of the multiple capacity configuration schemes to determine a final capacity configuration scheme for the target renewable energy hydrogen production and hydrogen metallurgical system based on the comprehensive score.

[0007] Optionally, in one embodiment of the present application, the system coordinated operation strategy of the target renewable energy hydrogen production and hydrogen metallurgical system is generated based on the main component simulation model, including: obtaining the operating characteristics and working mode of the electrolyzer and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model; designing the system coordinated operation strategy in combination with the operating characteristics and working mode of the electrolyzer and the gas-based vertical furnace, the main component simulation model and the operating objectives of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0008] Optionally, in one embodiment of the present application, the system coordinated operation strategy is designed in combination with the operating characteristics and working modes of the electrolyzer and the gas-based furnace, the main component simulation model and the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system, including: calculating the minimum reducing gas demand of the gas-based furnace according to the operating characteristics and working mode of the gas-based furnace, and calculating the residual power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system; determining the target operating mode and power of the electrolyzer based on the residual power, the operating characteristics and working mode of the electrolyzer, the energy storage power and the residual power of the renewable energy power generation hydrogen production and hydrogen metallurgical system; calculating the hydrogen deficit and hydrogen storage tank reserves of the renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to determine the system coordinated operation strategy based on the target operating mode and power of the electrolyzer and the hydrogen deficit and hydrogen storage tank reserves.

[0009] Optionally, in one embodiment of the present application, before performing the full-year operation simulation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system and the system coordinated operation strategy, it also includes: obtaining the decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system to establish the objective function of the target renewable energy hydrogen production and hydrogen metallurgical system according to the decision variables; determining the pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system based on the decision variables, the objective function and the objective constraints.

[0010] Optionally, in one embodiment of the present application, the objective function is:

[0011]

[0012] Among them, C DRI represents the minimum production cost of one ton of DRI, R aban represents the wind and solar curtailment rate, RF and l are the equipment investment coefficient and equipment operating life respectively, C init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind (t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

[0013] The second aspect of the present application provides a capacity configuration device for a renewable energy hydrogen production and hydrogen metallurgical system, including: a generation module, which is used to establish a simulation model of the main components in the target renewable energy hydrogen production and hydrogen metallurgical system, so as to generate a system coordinated operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system based on the main component simulation model; a simulation module, which is used to simulate the full-year operation of the target renewable energy hydrogen production and hydrogen metallurgical system based on a pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system and the system coordinated operation strategy, so as to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system; a first determination module, which is used to calculate the comprehensive score of the multiple capacity configuration schemes, so as to determine the final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system according to the comprehensive score.

[0014] Optionally, in one embodiment of the present application, the generation module includes: an acquisition unit for acquiring the operating characteristics and working modes of the electrolytic cell and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model; a design unit for designing the system coordinated operation strategy in combination with the operating characteristics and working modes of the electrolytic cell and the gas-based vertical furnace, the main component simulation model and the operating objectives of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0015] Optionally, in one embodiment of the present application, the design unit includes: a calculation subunit, used to calculate the minimum reducing gas demand of the gas-based calcining furnace according to the operating characteristics and working mode of the gas-based calcining furnace, and calculate the residual power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system; a first determination subunit, used to determine the target operating mode and power of the electrolyzer based on the residual power, the operating characteristics and working mode of the electrolyzer, and the energy storage power and residual power of the renewable energy power generation hydrogen production and hydrogen metallurgical system; a second determination subunit, used to calculate the hydrogen deficit and hydrogen storage tank reserves of the renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to determine the system coordinated operation strategy based on the target operating mode and power of the electrolyzer and the hydrogen deficit and hydrogen storage tank reserves.

[0016] Optionally, in one embodiment of the present application, it also includes: an establishment module, which is used to obtain the decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system before performing the full-year operation simulation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and the system coordinated operation strategy, so as to establish the objective function of the target renewable energy hydrogen production and hydrogen metallurgical system according to the decision variables; a second determination module, which is used to determine the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model based on the decision variables, the objective function and the objective constraints.

[0017] Optionally, in one embodiment of the present application, the objective function is:

[0018]

[0019] Among them, C DRI represents the minimum production cost of one ton of DRI, R aban represents the wind and solar curtailment rate, RF and l are the equipment investment coefficient and equipment operating life respectively, V init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind (t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

[0020] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the capacity configuration method of renewable energy hydrogen production and hydrogen metallurgical system as described in the above embodiment.

[0021] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned renewable energy hydrogen production and hydrogen metallurgical system capacity configuration method.

[0022] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned renewable energy hydrogen production and hydrogen metallurgical system capacity configuration method.

[0023] The embodiment of the present application can establish a simulation model of the main components in the renewable energy power generation hydrogen production and hydrogen metallurgical system, and propose a system coordination operation strategy to combine the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model to perform year-round operation simulation, and adopt an improved algorithm to determine the optimal capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system. Thus, it is achieved that the efficiency and stability of hydrogen production from renewable energy are guaranteed through the system coordination operation strategy, thereby ensuring the coordinated operation between renewable energy hydrogen production and hydrogen metallurgical systems; by combining the component simulation model, the system coordination operation strategy and the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model, the target is simulated for the whole year, effectively reducing the economic cost and duration of the operation simulation while reasonably configuring the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system, realizing the efficient operation of the hydrogen production device under a high proportion of renewable energy and the stable production of the hydrogen metallurgical system, and the present application can use different improved algorithms for solving different situations, which greatly improves the applicable scope and practical application ability of the present application, and can provide a basis for the planning and research of renewable energy hydrogen production and hydrogen metallurgical systems in the future. As a result, the problems in related technologies such as the lack of efficiency and stability in hydrogen production from renewable energy, the difficulty in determining the flow relationship between energy flow and material flow in the green hydrogen metallurgical system, the imbalance in supply and demand between hydrogen production from renewable energy and hydrogen metallurgical quality inspection, and the mismatch in operating characteristics were solved. The problems such as how to reasonably configure the capacity of various parts of the hydrogen production from renewable energy and hydrogen metallurgical system to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy were solved.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 A flow chart of a capacity configuration method for renewable energy hydrogen production and hydrogen metallurgical system provided according to an embodiment of the present application;

[0027] Figure 2 This is a schematic diagram of an annual output curve of a wind turbine according to an embodiment of the present application;

[0028] Figure 3 A schematic diagram of an annual photovoltaic output curve according to an embodiment of the present application;

[0029] Figure 4 This is a schematic diagram of an IU curve at different temperatures of an alkaline electrolytic cell in an embodiment of the present application;

[0030] Figure 5 This is a schematic diagram of IP curves at different temperatures for an alkaline electrolytic cell according to an embodiment of the present application;

[0031] Figure 6 A schematic diagram of a hydrogen production rate curve at different temperatures of an alkaline electrolytic cell in an embodiment of the present application;

[0032] Figure 7 A flow chart of a system coordination operation strategy when renewable energy generation is insufficient according to an embodiment of the present application;

[0033] Figure 8 A flow chart of a system coordination operation strategy when renewable energy generation is sufficient according to another embodiment of the present application;

[0034] Fig. 9 A flowchart of solving the improved non-dominated sorting genetic algorithm according to one embodiment of the present application;

[0035] Fig.10 This is a flow chart of the entropy weight method solution of one embodiment of the present application;

[0036] Fig.11 A flow chart of capacity configuration of a renewable energy hydrogen production and hydrogen metallurgical system based on operation simulation according to one embodiment of the present application;

[0037] Fig.12 It is a structural schematic diagram of a capacity configuration device for renewable energy hydrogen production and hydrogen metallurgical system according to an embodiment of the present application;

[0038] Fig.13 Schematic diagram of the structure of an electronic device according to an embodiment of the present application.

[0039] Reference numerals:

[0040] 10-Renewable energy hydrogen production and hydrogen metallurgical system capacity configuration device: 100-generation module, 200-simulation module and 300-first determination module; 1301-memory, 1302-processor and 1303-communication interface. DETAILED DESCRIPTION

[0041] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0042] The following describes the capacity configuration method and device of the renewable energy hydrogen production and hydrogen metallurgical system of the embodiment of the present application with reference to the accompanying drawings. In view of the related technologies mentioned in the above background technology, the efficiency and stability of renewable energy hydrogen production are lacking, the flow relationship between energy flow and material flow in the green hydrogen metallurgical system is also difficult to determine, and the supply and demand between renewable energy hydrogen production and hydrogen metallurgical quality inspection are unbalanced, and the operating characteristics are not matched. How to reasonably configure the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system to achieve the problem of efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy, the present application provides a capacity configuration method for renewable energy hydrogen production and hydrogen metallurgical system, in which a simulation model of the main components in the renewable energy power generation hydrogen production and hydrogen metallurgical system can be established, and a system coordinated operation strategy is proposed. Combined with the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model, a full-year operation simulation is performed, and an improved algorithm is used to determine the optimal capacity configuration scheme for the target renewable energy hydrogen production and hydrogen metallurgical system. As a result, the efficiency and stability of hydrogen production from renewable energy are guaranteed through the system coordinated operation strategy, thereby ensuring the coordinated operation between renewable energy hydrogen production and hydrogen metallurgical systems; by combining the component simulation model, the system coordinated operation strategy and the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model to simulate the target operation throughout the year, the economic cost and duration of the operation simulation are effectively reduced while the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system is reasonably configured, so as to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy, and the present application can adopt different improved algorithms for solving different situations, which greatly improves the scope of application and practical application capabilities of the present application, and can provide a basis for the planning and research of renewable energy hydrogen production and hydrogen metallurgical systems in the future. As a result, the problems in related technologies such as the lack of efficiency and stability in hydrogen production from renewable energy, the difficulty in determining the flow relationship between energy flow and material flow in the green hydrogen metallurgical system, the imbalance in supply and demand between hydrogen production from renewable energy and hydrogen metallurgical quality inspection, and the mismatch in operating characteristics were solved. The problems such as how to reasonably configure the capacity of various parts of the hydrogen production from renewable energy and hydrogen metallurgical system to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy were solved.

[0043] Specifically, Figure 1 A flow chart of a capacity configuration method for renewable energy hydrogen production and hydrogen metallurgical system provided in an embodiment of the present application.

[0044] like Figure 1 As shown, the capacity configuration method of the renewable energy hydrogen production and hydrogen metallurgical system includes the following steps:

[0045] In step S101, a simulation model of main components in a target renewable energy hydrogen production and hydrogen metallurgical system is established to generate a system coordinated operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system based on the simulation model of main components.

[0046] It can be understood that renewable energy hydrogen production refers to the production of hydrogen by electrolyzing water using renewable energy such as solar energy and wind energy; hydrogen metallurgy is the technology of using hydrogen as a reducing agent for metallurgical production. The target renewable energy hydrogen production and hydrogen metallurgical system can be understood here as a system that integrates renewable energy hydrogen production and hydrogen metallurgical systems, that is, the system can produce hydrogen using renewable energy and use the produced hydrogen as a reducing agent for metallurgy.

[0047] In some embodiments, in order to facilitate the simulation operation and other processing of the target renewable energy hydrogen production and hydrogen metallurgical system, the present application may, but is not limited to, establish a simulation model of the main components in the target renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to generate a system coordination operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system using the simulation model of the main components. Among them, the simulation model of the main components here can be understood as a plurality of components mainly used in the target renewable energy power generation hydrogen production and hydrogen metallurgical system. For example, components such as wind turbines, photovoltaic arrays, alkaline electrolyzers, and energy and gas storage devices used in the process of renewable energy hydrogen production; components such as gas-based vertical furnaces, electric heaters, heat exchangers, compressors, and dehydration and decarbonization devices included in the hydrogen metallurgical process. The modeling process of some of the main components in this application is explained below:

[0048] (1) The wind turbine generator simulation model in the embodiment of the present application can be constructed according to the power output of the wind turbine generator, wherein the power of the wind turbine generator can be calculated according to the wind speed, and the formula can be but is not limited to expressed as:

[0049]

[0050] Among them, P W (t) is the active power output of the wind turbine generator set at time t, V(t), V in 、V rate and V out are the wind speed of the fan at time t, the designed cut-in wind speed, rated wind speed and cut-out wind speed of the fan, P Wrate is the rated power of the wind turbine generator set, and the calculation formulas of parameters a and b can be, but are not limited to, expressed as:

[0051]

[0052] And, the fan rated power P Wrate It can be expressed as wind energy utilization coefficient C p , air density ρ air, blade swept area A W , mechanical conversion efficiency η 1 , power conversion efficiency η 2 and rated wind speed V rate The function can be expressed as, but not limited to:

[0053]

[0054] (2) A photovoltaic array is composed of a large number of photovoltaic cells connected in series and parallel. Its voltage-current relationship can be expressed as, but not limited to:

[0055]

[0056] U=N s U single

[0057] I=N p I single

[0058] Among them, I single and U single are the output current and voltage of a single photovoltaic cell, I sc is the short-circuit current of a single photovoltaic cell under standard conditions, U oc is the open circuit voltage, U m is the maximum power voltage, I m is the maximum power current, and the four parameter values ​​refer to the parameters of a single photovoltaic cell under standard conditions. I is the output current of the photovoltaic array, and U is the output voltage of the photovoltaic array. They are based on the number of series connections of a single photovoltaic cell in the photovoltaic array, N. s And the parallel number N p Calculated.

[0059] The embodiment of the present application can also obtain the change of the output characteristics of the photovoltaic array under different temperatures and light intensities by correcting the four characteristic parameters of the short-circuit current, open-circuit voltage, maximum power voltage and maximum power current of the photovoltaic cell. The formula can be but is not limited to the following:

[0060]

[0061] ΔU=[1-c(TT ref )]ln[e+b(SS ref )]

[0062]

[0063] Among them, ΔI and ΔU are the current correction coefficient and voltage correction coefficient respectively, S ref and T refare the solar radiation intensity and temperature under standard environment, S and T are the solar radiation intensity and temperature under actual environment, a and c are the correction coefficients related to temperature, and b is the correction coefficient related to solar irradiance. Figure 2 This is an annual output curve of a wind turbine according to an embodiment of the present application. Figure 3 This is an annual output curve of photovoltaic power generation according to an embodiment of the present application. The annual output of wind turbines and photovoltaic power generation according to the embodiment of the present application can be found in Figure 2 and Figure 3 .

[0064] (3) The UI relationship of a single cell of an alkaline electrolytic cell can be expressed as, but not limited to:

[0065]

[0066] Among them, U rev is the reverse voltage of the electrolytic cell, T AE is the electrolytic cell temperature, A ele is the electrode area of ​​the electrolytic cell, r 1 、r 2 is the electrolyte ohmic resistance parameter, s n ,t n is the electrode overvoltage coefficient (n=1,2,3), I AE is the electrolytic cell current, U AE is the electrolytic cell voltage. Among them, the electrolytic cell reverse voltage U rev It can be expressed as, but not limited to:

[0067]

[0068] Wherein, z is the number of electrons transferred per unit water electrolysis chemical reaction, F is the Faraday constant, and ΔG is the Gibbs free energy of the water electrolysis chemical reaction.

[0069] The calculation formula of the hydrogen production rate of the electrolyzer can be expressed as but not limited to:

[0070]

[0071] in, represents the hydrogen production rate of the electrolytic cell, N AE represents the number of electrolytic cells in the electrolytic tank, η F Represents the Faraday efficiency, and the calculation formula can be, but is not limited to, expressed as:

[0072]

[0073] The IU curve and IP curve of the alkaline electrolytic cell at different temperatures are as follows: Figure 4 and Figure 5 The hydrogen production rate curves at different temperatures are shown in Figure 6 shown.

[0074] The amount of electrochemical energy storage at time t is E BS (t) can be expressed as, but not limited to:

[0075]

[0076] Where Δt is the time interval, E BS (t-Δt) is the power of the energy storage battery at the previous moment, P BS,ch (t)>0 and P BS,dis (t)<0 represents the charging power and discharging power in time period t, respectively, η ch and η dis They represent the charging efficiency and discharging efficiency of the energy storage battery respectively.

[0077] The hydrogen storage capacity of the gas storage device at time t is n HS (t) can be expressed as, but not limited to:

[0078]

[0079] Where Δt is the time interval, n HS (t-Δt) is the hydrogen storage capacity of the hydrogen storage tank at the previous moment, is the hydrogen storage rate at time t, Indicates that hydrogen is being filled into the hydrogen storage tank, and Indicates that hydrogen is being released from the hydrogen storage tank.

[0080] (4) The modeling process of the gas-based vertical furnace simulation model can be, but is not limited to, expressed as follows:

[0081] When the temperature in the vertical furnace is greater than 843K, a three-stage reduction reaction occurs in the gas-based vertical furnace, which can be expressed as but not limited to:

[0082] Fe 2 O 3 →Fe 3 O 4 →FeO→Fe

[0083] 3Fe 2 O 3 +H 2 =2Fe 3 O 4 +H 2 O

[0084] Fe 3 O 4 +H 2 =3FeO+H 2 O

[0085] FeO+H 2=Fe+H 2 O

[0086] At this time, hydrogen acts as a reducing agent and heat carrier inside the gas-based vertical furnace. The utilization rate and demand of reducing gas in different reaction stages vary due to different chemical reaction equilibrium constants. The third stage reaction determines the reducing agent demand from a thermodynamic perspective. The formula for calculating the reducing agent demand at this time can be expressed as, but not limited to:

[0087]

[0088] Among them, V 1 The amount of gas required to reduce 1 ton of DRI, m DRI-Fe is the metallic iron content in DRI, M Fe is the molar mass of the iron atom, V m is the gas molar volume; η 3 is the reduction gas utilization rate in the third stage, and the calculation formula can be expressed as:

[0089]

[0090] Among them, K 3 is the equilibrium constant of the third stage reduction reaction.

[0091] It is understood by those skilled in the art that DRI is generally composed of metallic iron, incompletely reduced FeO, and impurities. Considering that only metallic iron and FeO contain elemental iron in the reduced DRI, the present invention can simplify the three-stage reduction reaction in the furnace at a temperature above 615°C into two stages for consideration, namely: Fe 2 O 3 →FeO, FeO→Fe.

[0092] According to the metallization rate of DRI and the solid mass fraction in the raw iron ore, the content of metallic iron and FeO in the reduced product can be calculated in the embodiment of the present application. The calculation formula can be expressed as but not limited to:

[0093]

[0094] Among them, TFe ore is the total iron content in the iron ore, MFe is the metallization rate of DRI, M FeO is the molar mass of FeO. The oxygen content lost during the reduction process is the sum of the oxygen lost in the two reactions. The formula can be, but is not limited to, expressed as:

[0095] m O =m O1 +m O2

[0096]

[0097] The mass of the impurity remains unchanged before and after the reduction reaction, and the formula can be, but is not limited to, expressed as:

[0098]

[0099] In summary, we can get:

[0100] m DRI =m DRI-Fe +m DRI-FeO +m gangue

[0101] In order to obtain the mass m of iron ore ore In the embodiment of the present application, the above formula can be combined to obtain the metallization rate of DRI and the total iron content TFe, FeO, Fe 2 O 3 The mass percentage is calculated. Then according to the mass of iron ore m ore , the mass of Fe, FeO and impurities in the product DRI can be calculated, and the reduction reaction gas requirement V can be obtained. 1 .

[0102] Furthermore, considering that there is no supplementary heat device inside the gas-based vertical furnace, the reducing gas introduced into the vertical furnace not only needs to participate in the reduction reaction as a reducing agent, but also needs to provide the heat required for the reduction reaction as a heat carrier. For the vertical furnace system, the heat brought in includes the sensible heat of the reducing gas and the sensible heat of the iron ore, and the heat brought out includes the heat absorbed by the reduction reaction, the sensible heat of the solid discharged from the furnace, the sensible heat of the top gas, and the heat loss. According to the heat balance, the following formula can be obtained:

[0103] Q g,i +Q s,i =Q r +Q g,o +Q s,o +Q loss

[0104] Among them, Q g,i is the sensible heat of reducing gas, Q s,i is the sensible heat of iron ore, Q r Absorbs heat for the reduction reaction, Q g,o is the sensible heat of the top gas, Q s,o is the sensible heat of reducing solid, Q loss is the heat loss, which is usually set at 15% of the total heat income. Assume that the reduction gas demand to maintain heat balance is V 2 , then the heat of each part in the above formula can be calculated by the following formulas, but not limited to:

[0105]

[0106] Q loss=0.15(Q g,i +Q s,i )

[0107] Combining the above formulas, we can obtain the required amount of reducing gas V to maintain thermal balance. 2 for:

[0108]

[0109] Among them, y j is the mass fraction of each component in the raw ore, m ore is the raw material ore mass, M j is the molar mass of each component in the solid, is the molar specific heat capacity of hydrogen at constant pressure, C j is the molar specific heat capacity at constant pressure of each component in the solid, T g,i and T s,i are the inlet reducing gas temperature and the inlet solid temperature, T 0 is the ambient temperature, M O is the molar mass of oxygen atom, X i is the volume fraction of each gas component in the top gas, V out is the volume of top gas, C i is the molar specific heat capacity at constant pressure of each gas component in the top gas, Y j is the mass fraction of each component in DRI, m DRI is the DRI quality, T g,o and T s,o They are the outlet reducing gas temperature and the outlet solid temperature respectively.

[0110] And, in the case of pure hydrogen reduction, the top gas contains only H 2 and H 2 O, so the volume fraction of each component in the top gas at this time is X i It can be expressed as, but not limited to:

[0111]

[0112] Among them, m O is the total oxygen loss in the reduction reaction, n g,i is the total molar number of the inlet reducing gas.

[0113] At different temperatures, the molar specific heat capacity at constant pressure of each substance will be different. The relationship between each substance and temperature can be expressed as, but not limited to:

[0114] C=a+b×10 -3 T+c×10 5 T -2

[0115] Table 1 is a regression coefficient table of the relationship between the molar specific heat capacity at constant pressure of each substance and temperature, and Table 2 is a regression coefficient table of the relationship between the molar specific heat capacity at constant pressure of each solid and temperature, that is, the applicable temperature range of each substance. Tables 1 and 2 can be expressed as follows:

[0116] Table 1

[0117] gas <![CDATA[a / (J·mol -1 ·K -1 )]]> <![CDATA[b / (J·mol -1 ·K -1 )]]> <![CDATA[c / (J·mol -1 ·K -1 )]]> K <![CDATA[H 2 ]]> 27.28 3.264 0.502 298-3000 <![CDATA[H 2 The]]> 29.999 10.711 0.335 298-2500

[0118] Table 2

[0119] solid <![CDATA[a / (J·mol -1 ·K -1 )]]> <![CDATA[b / (J·mol -1 ·K -1 )]]> <![CDATA[c / (J·mol -1 ·K -1 )]]> K Fe 28.175 -7.318 -2.895 298-800 -263.454 255.81 619.232 800-1000 -641.905 696.339 0.0 1000-1042 1946.255 -1787.5 0.0 1042-1060 -561.932 334.143 2912.114 1060-1184 23.991 8.36 0.0 1184-1665 <![CDATA[Fe 2 THE 3 ]]> 98.292 77.822 -14.853 298-953 150.624 0.0 0.0 953-1053 132.675 7.364 0.0 1053-1730 FeO 50.794 8.619 -3.305 298-1650 CaO 49.622 4.519 -6.945 298-2888 MgO 48.953 3.138 -11.422 298-3098 <![CDATA[SiO 2 ]]> 43.89 38.786 -9.665 298-847 58.911 10.042 0.0 847-1696 <![CDATA[Al 2 THE 3 ]]> 103.851 26.267 -29.091 298-800 120.516 9.192 -48.367 800-2327

[0120] Next, the embodiment of the present application can derive the reaction heat at different temperatures according to Kirchhoff's equation, and the formula can be expressed as:

[0121]

[0122] Among them, n i is the stoichiometric coefficient of the i-th substance in the chemical reaction equation, C p,i,products is the molar specific heat capacity at constant pressure of the i-th product, C p,i,reactants is the molar specific heat at constant pressure of the ith reactant.

[0123] Through integration, we can get:

[0124]

[0125] Since the reducing gas acts as both reducing agent and heat carrier in the gas-based vertical furnace, the required gas volume V for the reduction reaction is 1 and heat balance gas demand V 2 After that, the embodiment of the present application can take V 1 With V 2 The larger value is the minimum reducing gas volume V required for production in .

[0126] And, Table 3 is a production process parameter table of a gas-based vertical furnace in an embodiment of the present application, Table 4 is an iron ore composition table (mass fraction, %) in an embodiment of the present application, and Table 5 is a molar mass (g / mol) table of each solid component in an embodiment of the present application. Tables 3, 4 and 5 can be expressed as follows:

[0127] Table 3

[0128] Process conditions parameter Remark Inlet reducing gas temperature 1000℃ 800～1000℃ Outlet reducing gas temperature 350℃ Reduction reaction temperature 1000℃ Material inlet temperature 25℃ Material outlet temperature 95% reduction reaction temperature DRI Metallization Rate (MFe) 92％ Heat loss 15％

[0129] Table 4

[0130] composition <![CDATA[TFe ore ]]> <![CDATA[Fe 2 THE 3 ]]> FeO CaO MgO <![CDATA[SiO 2 ]]> <![CDATA[Al 2 THE 3 ]]> content 66.97 95.53 0.13 1.24 0.14 1.69 1.27

[0131] Table 5

[0132]

[0133] (5) The simulation model of the electric heater power can be, but is not limited to, modeled as the following calculation formula:

[0134]

[0135] Among them, Q heat is the heat required to heat the inlet reducing gas to a certain temperature, Δt is the heating time, η heat For heating efficiency.

[0136] Furthermore, the system coordination operation strategy in the embodiment of the present application can be understood here as a relevant strategy formulated to ensure that each component of the target renewable energy hydrogen production and hydrogen metallurgical system can work efficiently, stably and collaboratively.

[0137] Optionally, in one embodiment of the present application, a system coordinated operation strategy for a target renewable energy hydrogen production and hydrogen metallurgical system is generated based on a main component simulation model, including: obtaining the operating characteristics and working modes of the electrolyzer and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model; and designing a system coordinated operation strategy in combination with the operating characteristics and working modes of the electrolyzer and the gas-based vertical furnace, the main component simulation model, and the operating objectives of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0138] During the actual implementation process, when generating a system coordination operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system based on the main component simulation model, the present application can generate a system coordination operation strategy based on the operating characteristics and working modes of the actual main components corresponding to the main component simulation model, combined with the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0139] For example, the present application can, but is not limited to, design a system coordinated operation strategy based on the operating characteristics and working modes of the electrolyzer and gas-based vertical furnace in the actual main components, combined with the main component simulation model and the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0140] Among them, the operating target here refers to the goal of operating and adjusting the target renewable energy hydrogen production and hydrogen metallurgical system, for example, increasing the wind and solar power consumption rate and iron smelting volume.

[0141] Taking alkaline electrolyzer and gas-based vertical furnace as examples, the working modes of alkaline electrolyzer can be divided into the following three types, but are not limited to:

[0142] (1) Stop mode: In this mode, the electrolyzer stops working due to insufficient power. The power range of this working mode is [0,P AEcold ). It takes 1 to 2 hours for the electrolyzer to resume normal operation from this working mode.

[0143] (2) Standby mode: In this working mode, the electrolyzer does not produce hydrogen, and the power consumed is used to maintain the operation of the control unit and the circulation system and the necessary start-up temperature. The power range of this working mode is [P AEcold ,P AEmin ). It takes about 1 hour for the electrolyzer to switch from this working mode to the normal working mode.

[0144] (3) Normal working mode: In this working mode, the electrolyzer produces hydrogen by electrolyzing water, and the amount of hydrogen produced is adjusted according to the power size. The power range of this working mode is [P AEmin ,P AErate ].

[0145] The working modes of the gas-based vertical furnace can be divided into the following two modes, but are not limited to:

[0146] (1) Shutdown mode: When the amount of available hydrogen in the system is insufficient or the system power generation cannot support the energy consumption of the electric heater, the gas-based vertical furnace stops working in this mode and does not produce reduced iron. It takes 2 to 3 hours for the gas-based vertical furnace to resume normal operation from the shutdown mode.

[0147] (2) Normal working mode: In this working mode, the gas-based vertical furnace performs continuous production according to the production plan.

[0148] Therefore, the embodiments of the present application can use the simulation models of other main components and the working modes of the electrolyzer and the gas-based vertical furnace as the basis for adjusting the target renewable energy hydrogen production and hydrogen metallurgical system, with the goals of reducing the number of starts and stops of the electrolyzer, improving the wind and solar absorption rate and increasing the iron smelting volume, formulate a system coordinated operation strategy for the target renewable energy power generation hydrogen production and hydrogen metallurgical system, and provide a basis for operation simulation.

[0149] Optionally, in one embodiment of the present application, a system coordinated operation strategy is designed in combination with the operating characteristics and working modes of the electrolyzer and the gas-based furnace, the simulation models of the main components and the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system, including: calculating the minimum reducing gas demand of the gas-based furnace according to the operating characteristics and working mode of the gas-based furnace, and calculating the surplus power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system; determining the target operating mode and power of the electrolyzer based on the surplus power, the operating characteristics and working mode of the electrolyzer, the energy storage power and the surplus power of the renewable energy power generation hydrogen production and hydrogen metallurgical system; calculating the hydrogen deficit and hydrogen storage tank reserves of the renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to determine the system coordinated operation strategy based on the target operating mode and power of the electrolyzer as well as the hydrogen deficit and hydrogen storage tank reserves.

[0150] Based on the relevant descriptions of other embodiments, it can be understood that the embodiments of the present application can combine the operating characteristics and working modes of the electrolytic cell and gas-based vertical furnace, the simulation models of the main components and the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system to design a system coordinated operation strategy. For example, the simulation models of other main components and the working modes of the electrolytic cell and gas-based vertical furnace are used as the basis for adjusting the target renewable energy hydrogen production and hydrogen metallurgical system, with the goals of reducing the number of starts and stops of the electrolytic cell, improving the wind and solar absorption rate and increasing the iron smelting volume, and formulating a system coordinated operation strategy for the target renewable energy power generation hydrogen production and hydrogen metallurgical system.

[0151] In the actual implementation process, this application can calculate the minimum reducing gas demand of the gas-based hardening furnace according to the operating characteristics and working mode of the gas-based hardening furnace, and calculate the surplus power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system; then based on the surplus power, the operating characteristics and working mode of the electrolyzer, the energy storage power and surplus power of the renewable energy power generation hydrogen production and hydrogen metallurgical system, determine the target working mode and power of the electrolyzer; finally calculate the hydrogen shortage and hydrogen storage tank reserves of the renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to determine the system coordination operation strategy based on the target working mode and power of the electrolyzer and the hydrogen shortage and hydrogen storage tank reserves. Among them, the target working mode of the electrolyzer can be understood here as different working modes of the electrolyzer under different circumstances.

[0152] For example, Figure 7 A flow chart of a system coordination operation strategy when renewable energy generation is insufficient according to an embodiment of the present application; Figure 8 This is a flow chart of the system coordination operation strategy when renewable energy generation is sufficient in another embodiment of the present application. Figure 7 and Figure 8 As shown, the system coordinated operation strategy construction process of the target renewable energy power generation hydrogen production and hydrogen metallurgical system in the embodiment of the present application can be, but is not limited to, expressed as follows:

[0153] (1) First, according to whether the gas-based vertical furnace is used for DRI production, the minimum reducing gas volume V required for gas-based vertical furnace production is calculated. in , after removing the top recovery gas, the required external injection reduction gas V supplement And the heating power of the electric heater P heat .

[0154] (2) Calculate the remaining power P of renewable energy after removing the power used by the electric heater E =P wind +P solar -P heat , this part of power can be distributed by electrolyzer and energy storage.

[0155] (3) When renewable energy generation is insufficient, that is, P E<0, according to the working state of the electrolyzer, the power of energy storage and the remaining power, there are four operating modes:

[0156] The electrolyzer is shut down, and the rated power of the energy storage is greater than or equal to the missing power, that is, P BSrate ≥-P E , and the remaining energy storage capacity is sufficient, and the power after discharge is greater than or equal to the minimum operating capacity of the energy storage, the energy storage discharge will supplement the power shortage and maintain the vertical furnace production. In this case, the output of the energy storage is all used to supplement the missing electric heating power.

[0157] If the electrolytic cell is not shut down, and the power and amount of energy storage can support the lowest standby power consumption of the electrolytic cell and supplement the power shortage of the electric heater, the energy storage will be discharged to make the electrolytic cell work in a standby state while maintaining the vertical furnace production.

[0158] The electrolytic cell is not shut down, and the rated power and remaining capacity of the energy storage are not enough to maintain the minimum standby power consumption of the electrolytic cell, but the missing electric heating power can be supplemented. In this case, the electrolytic cell is shut down and the energy storage is discharged to maintain the vertical furnace production.

[0159] If the electrolytic cell is not shut down and the rated power or remaining capacity of the energy storage is insufficient, the vertical furnace will be shut down and the process will return to (1) to make a new decision.

[0160] (4) When the renewable energy generation is sufficient, that is, P E When ≥0, according to the working state and energy storage state of the electrolyzer, there are several operating modes:

[0161] When the electrolyzer is shut down, the energy storage stores electrical energy through charging, and the charging power is P E , P BSrate The minimum value of the power required to achieve the maximum operating power and the power required for energy storage. abandon =P E -P charge .

[0162] The electrolyzer is not shut down, and the system power satisfies 0≤P E <P AEcold , if the energy storage power and power are sufficient, the energy storage is called to discharge and the electrolyzer works in a standby state.

[0163] The electrolyzer is not shut down, and the system power satisfies 0≤P E <P AEcold , call for energy storage discharge, and make the electrolyzer work in standby mode. If the energy storage power or electricity is not enough to support the electrolyzer in standby mode, the electrolyzer will be shut down and the energy storage will be called for charging. The electricity exceeding the energy storage capacity will be discarded.

[0164] The electrolyzer is not shut down, and the system power meets P AEcold ≤PE <P AEmin , the electrolyzer works in standby mode and the energy storage does not need to work.

[0165] The electrolyzer is not shut down, and the system power meets P AEmin ≤P E ≤P AErate , the electrolyzer works in normal working mode and the energy storage does not need to work.

[0166] The electrolyzer is not shut down, and the system power meets P E >P AErate , the electrolyzer operates at rated power and calls on energy storage to charge to absorb excess new energy. The electricity exceeding the energy storage capacity will be discarded.

[0167] (5) According to the system power P E The working mode and power P of the electrolyzer are determined by energy storage AE Then, calculate the hydrogen production of the electrolyzer And calculate the shortage of hydrogen required for metallurgy The hydrogen storage tank is used to balance this shortfall. Depending on the shortfall and the hydrogen storage tank capacity, there are several operating modes:

[0168] If the hydrogen storage tank has insufficient reserves to make up for the hydrogen shortage, the vertical furnace will stop production and return to (1) to make a new decision.

[0169] If the hydrogen storage tank has sufficient storage capacity, the hydrogen storage tank will be called. change ≥0, it means that there is a surplus of hydrogen and the hydrogen storage tank stores excess hydrogen; when V change When <0, it indicates that there is insufficient hydrogen and the hydrogen storage tank releases hydrogen.

[0170] The embodiment of the present application can be adjusted according to the wind and solar output power and the working mode of the electrolyzer and the gas-based vertical furnace, and the electrochemical energy storage and hydrogen storage devices can be used to support the system's energy and hydrogen consumption, with the goal of reducing the number of starts and stops of the electrolyzer, improving the wind and solar absorption rate and increasing the ironmaking volume. A coordinated operation strategy for renewable energy power generation and hydrogen production and hydrogen metallurgical systems has been formulated to provide a basis for operation simulation.

[0171] Step S102, based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and system coordinated operation strategy, a full-year operation simulation is performed on the target renewable energy hydrogen production and hydrogen metallurgical system to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system.

[0172] It can be understood that the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model here refers to a pre-established model that includes a multi-objective capacity configuration optimization algorithm, which utilizes the multi-objective capacity configuration optimization algorithm to simulate the target renewable energy hydrogen production and hydrogen metallurgical system throughout the year according to the system coordinated operation strategy to generate a target renewable energy hydrogen production and hydrogen metallurgical system capacity configuration plan.

[0173] Furthermore, the capacity optimization configuration model for the renewable energy hydrogen production and hydrogen metallurgical system pre-established in the embodiment of the present application can generate capacity configuration plans for multiple target renewable energy hydrogen production and hydrogen metallurgical systems, thereby selecting the capacity configuration plan that best suits the target renewable energy hydrogen production and hydrogen metallurgical system from multiple capacity configuration plans.

[0174] Optionally, in one embodiment of the present application, before simulating the full-year operation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and system coordinated operation strategy, it also includes: obtaining the decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system to establish the objective function of the target renewable energy hydrogen production and hydrogen metallurgical system according to the decision variables; based on the decision variables, the objective function and the objective constraint conditions, determining the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model. Among them, the objective function can be, but is not limited to, expressed as:

[0175]

[0176] Among them, C DRI represents the minimum production cost of one ton of DRI, R aban represents the wind and solar curtailment rate, RF and l are the equipment investment coefficient and equipment operating life respectively, C init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind (t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

[0177] Based on the relevant descriptions of other embodiments, it can be understood that the present application can simulate the full-year operation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and system coordinated operation strategy to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system.

[0178] In certain embodiments, when establishing a capacity optimization configuration model for a renewable energy hydrogen production and hydrogen metallurgical system in the embodiments of the present application, it can be implemented based on, but not limited to, decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system, and objective functions established based on the decision variables and a variety of objective constraints that the target renewable energy hydrogen production and hydrogen metallurgical system may be subject to during operation.

[0179] Then, based on the pre-established capacity optimization configuration model of renewable energy hydrogen production and hydrogen metallurgical system and the system coordinated operation strategy of renewable energy hydrogen production and hydrogen metallurgical system, a full-year operation simulation is carried out, and an improved non-dominated sorting genetic algorithm is used to solve the multi-objective optimization problem in the pre-established capacity optimization configuration model of renewable energy hydrogen production and hydrogen metallurgical system to obtain a non-dominated solution set, thereby obtaining multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system.

[0180] Among them, the decision variables here can be understood as the variables with a decisive role in the target renewable energy hydrogen production and hydrogen metallurgical system, such as electrochemical energy storage capacity and hydrogen storage tank capacity; the objective function here can be understood as the functional form of the target that the target renewable energy hydrogen production and hydrogen metallurgical system hopes to achieve; the target constraints here can be understood as the various constraints that the target renewable energy hydrogen production and hydrogen metallurgical system may be subject to during operation, and these constraints need to be observed during actual operation. For example:

[0181] (1) Decision variables and objective function

[0182] In the embodiment of the present application, in order to improve the flexibility and economy of the target renewable energy hydrogen production and hydrogen metallurgical system and reduce the wind and solar abandonment rate, the electrochemical energy storage capacity E can be used, but is not limited to BS,r With hydrogen storage tank capacity E HS,r As a decision variable, to minimize the cost C of producing ton of DRI DRI R abandon is the objective function, which can be, but is not limited to, expressed as follows:

[0183]

[0184] Among them, RF and l are the equipment investment coefficient and equipment operating life respectively, C init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind(t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

[0185] The calculation formulas for equipment investment coefficient, equipment net present value cost and operation and maintenance cost can be expressed as follows, but are not limited to:

[0186]

[0187] Where r is the discount rate, N L is the project life cycle, k represents the unit power or unit capacity construction investment cost of each device, m represents the annual unit operation and maintenance cost of each device, P r and G r Indicates the rated capacity of each device. Table 6 is an economic (investment) cost table of renewable energy power generation, hydrogen production and hydrogen metallurgical system equipment in one embodiment of the present application, which can be expressed as follows:

[0188] Table 6

[0189] equipment Unit investment cost Average annual operation and maintenance cost per unit Wind turbines 4600 yuan / kW 92 yuan / (kW·year) Photovoltaic array 4300 yuan / kW 86 yuan / (kW·year) Lithium iron phosphate battery 1800 yuan / kWh 54 yuan / (kWh·year) Alkaline electrolyzer 3500 yuan / kW 105 yuan / (kW·year) Hydrogen storage tank 3750.5 yuan / kg 3.93 yuan / (kg·year) Gas-based vertical furnace 335.2 yuan / t 10.056 yuan / (t·year) Iron Ore 826 yuan / t 0

[0190] (2) Constraints

[0191] In order to ensure the safe and stable operation of the target renewable energy hydrogen production and hydrogen metallurgical system, the embodiment of the present application may also add certain constraints to the optimization variables, including but not limited to the following constraints:

[0192] Decision variable range: In the embodiment of the present application, a certain constraint range is set for the electrochemical energy storage and hydrogen storage tank capacity of the target renewable energy hydrogen production and hydrogen metallurgical system configuration:

[0193]

[0194] Among them, G BS,min and G BS,max are the minimum and maximum capacity of electrochemical energy storage, G HS,min and G HS,max The minimum and maximum capacities of the hydrogen storage tanks are

[0195] Power balance constraint: In order to ensure the safe and stable operation of the target renewable energy hydrogen production and hydrogen metallurgical system, the embodiment of the present application can be, but is not limited to, taking into account the wind and solar power abandonment losses, by keeping the output of the target renewable energy hydrogen production and hydrogen metallurgical system and the power of the load balanced at all times, wherein the power balance constraint can be, but is not limited to, expressed as:

[0196] P WT (t)+P PV (t)+P discharge (t) = P AE(t)+P charge (t)+P abandon (t)+P heat (t),

[0197] Among them, P discharge (t) represents the energy storage discharge power at time t, P charge (t) represents the energy storage charging power at time t.

[0198] Power operation constraint: The embodiment of the present application also takes into account that the operating power of the electrolyzer and electrochemical energy storage in the target renewable energy hydrogen production and hydrogen metallurgical system needs to be maintained within a certain operating range, that is, the power operation constraint, which can be but is not limited to the following:

[0199]

[0200] Among them, P AE (t) and P BS (t) respectively represent the operating power of the electrolytic cell and the operating power of the electrochemical energy storage at time t, P AErate and P BSrate They are the operating power limit values ​​of the electrolyzer and the operating power limit values ​​of the electrochemical energy storage respectively.

[0201] Electrochemical energy storage and hydrogen storage tank state constraints: that is, the current capacity of the electrochemical energy storage and hydrogen storage tank in the target renewable energy hydrogen production and hydrogen metallurgy system must be within the scheduling allowable range, which can be expressed as follows but not limited to:

[0202]

[0203] Among them, η charge and η discharge is the charge and discharge efficiency of electrochemical energy storage, is the density of hydrogen.

[0204] (3) Multi-objective capacity configuration optimization algorithm

[0205] In the embodiment of the present application, the essence of the pre-established capacity configuration optimization model for renewable energy power generation, hydrogen production and hydrogen metallurgical system is the multi-objective optimization problem of renewable energy power generation, hydrogen production and hydrogen metallurgical system. The embodiment of the present application can be solved by but is not limited to using an improved non-dominated sorting genetic algorithm. Fig. 9 This is a flow chart of solving the problem of improving the non-dominated sorting genetic algorithm according to an embodiment of the present application. The specific process can be, but is not limited to, represented as follows:

[0206] ① Initialize the population: First, randomly generate an initial population pop=1 containing N individuals, each of which represents an electrochemical energy storage and hydrogen storage tank configuration scheme, and these configuration schemes need to meet the target constraints in the embodiment of the present application;

[0207] ②Generate offspring population: Generate offspring population by performing random selection, crossover and mutation operations on the parent population, and merge the offspring with the parent population;

[0208] ③ Evaluate population individuals: Use renewable energy power generation and hydrogen production and hydrogen metallurgical system coordinated operation strategy to simulate production throughout the year, and use the objective function value as the fitness of each individual;

[0209] ④ Perform non-dominated sorting on the merged population, calculate the crowding degree of each individual, and select the dominant N individuals as the new round of parent population according to the non-dominated sorting result and crowding degree;

[0210] ⑤If pop=pop+1 reaches the maximum number of iterations, the loop terminates, otherwise jump to step ②;

[0211] ⑥ Obtain a non-dominated solution set, each solution in the non-dominated solution set corresponds to a capacity configuration plan.

[0212] Step S103, calculating the comprehensive scores of the multiple capacity configuration schemes to determine the final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system according to the comprehensive scores.

[0213] As a possible implementation method, after solving the non-dominated solution set, multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system can be obtained. On this basis, the embodiment of the present application can calculate the comprehensive scores of multiple capacity configuration schemes through the non-dominated solution set, and then select the capacity configuration scheme with the highest score as the final capacity configuration scheme for the target renewable energy hydrogen production and hydrogen metallurgical system.

[0214] For example, in the embodiments of the present application, the entropy weight method can be used but is not limited to calculate the comprehensive score of each configuration scheme in the non-dominated solution set, and then the capacity configuration scheme with the highest score is selected as the final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system, thereby determining the optimal electrochemical energy storage and hydrogen storage tank capacity configuration of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0215] Since the cost of producing a ton of DRI and the wind and solar power abandonment rate are two conflicting objectives and it is impossible to achieve the optimal solution at the same time, the present application can, but is not limited to, use the entropy weight method to obtain a compromise optimal solution. Fig.10 This is a flow chart of the entropy weight algorithm solution of an embodiment of the present application. Fig.10 As shown, the specific process of the entropy weight method can be, but is not limited to, expressed as follows:

[0216] (1) First, the DRI cost per ton produced and the wind and solar power abandonment rate under each configuration scheme in the non-dominated solution set are minimized:

[0217]

[0218] Among them, x ij Represents the value of the i-th sample on the j-th index;

[0219] (2) Calculate the weight p of the i-th sample on the j-th indicator ij :

[0220]

[0221] Where m is the total number of samples;

[0222] (3) Calculate the entropy value e of the jth indicator based on the proportion j :

[0223]

[0224] (4) Calculate the difference coefficient d of the index based on the entropy value j :

[0225] d j =1-e j ;

[0226] (5) Determine the weight w j :

[0227]

[0228] (6) Use entropy weights to calculate the comprehensive scores of each solution and select the solution with the highest score as the optimal solution:

[0229]

[0230] The present application is described in detail below with reference to a specific embodiment.

[0231] Fig.11 This is a flow chart of capacity configuration of a renewable energy hydrogen production and hydrogen metallurgy system based on operation simulation according to an embodiment of the present application, such as Fig.11 As shown:

[0232] Step S1, establishing a simulation model of the main components in the renewable energy power generation hydrogen production and hydrogen metallurgical system, including a wind turbine generator set, a photovoltaic array, an alkaline electrolyzer, an energy and gas storage device, a gas-based vertical furnace and an electric heater.

[0233] Step S2, based on the operating characteristics and working modes of the alkaline electrolyzer and the gas-based vertical furnace, a coordinated operation strategy for renewable energy power generation and hydrogen metallurgical system is proposed.

[0234] Step S3, establish a capacity optimization configuration model for renewable energy hydrogen production and hydrogen metallurgical system, conduct a full-year operation simulation based on the coordinated operation strategy of renewable energy hydrogen production and hydrogen metallurgical system, and use an improved non-dominated sorting genetic algorithm to obtain a non-dominated solution set.

[0235] Step S4, using the entropy weight method, calculate the comprehensive score of each configuration scheme in the non-dominated solution set, and select the scheme with the highest score as the optimal electrochemical energy storage and hydrogen storage tank capacity configuration for the renewable energy hydrogen production and hydrogen metallurgy system.

[0236] According to the capacity configuration method of renewable energy hydrogen production and hydrogen metallurgical system proposed in the embodiment of the present application, a simulation model of the main components in the renewable energy power generation hydrogen production and hydrogen metallurgical system can be established, and a system coordinated operation strategy is proposed to combine the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model to perform year-round operation simulation, and an improved algorithm is used to determine the optimal capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system. Thus, the efficiency and stability of hydrogen production from renewable energy are guaranteed through the system coordinated operation strategy, thereby ensuring the coordinated operation between renewable energy hydrogen production and hydrogen metallurgical systems; by combining the component simulation model, the system coordinated operation strategy and the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model, the target is simulated for the whole year, effectively reducing the economic cost and duration of the operation simulation while reasonably configuring the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system, realizing the efficient operation of the hydrogen production device under a high proportion of renewable energy and the stable production of the hydrogen metallurgical system, and the present application can use different improved algorithms for solving different situations, which greatly improves the applicable scope and practical application ability of the present application, and can provide a basis for the planning and research of renewable energy hydrogen production and hydrogen metallurgical systems in the future. As a result, the problems in related technologies such as the lack of efficiency and stability in hydrogen production from renewable energy, the difficulty in determining the flow relationship between energy flow and material flow in green hydrogen metallurgical systems, the imbalance in supply and demand between hydrogen production from renewable energy and hydrogen metallurgical quality inspection, and the mismatch in operating characteristics were solved. The problems such as how to reasonably configure the capacity of each part of the hydrogen production from renewable energy and hydrogen metallurgical system to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy were solved.

[0237] Next, a capacity configuration device for a renewable energy hydrogen production and hydrogen metallurgy system proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0238] Fig.12 It is a structural schematic diagram of a capacity configuration device for a renewable energy hydrogen production and hydrogen metallurgy system according to an embodiment of the present application.

[0239] like Fig.12As shown, the capacity configuration device 10 of the renewable energy hydrogen production and hydrogen metallurgy system includes: a generation module 100, a simulation module 200 and a first determination module 300.

[0240] The generation module 100 is used to establish a simulation model of the main components in the target renewable energy hydrogen production and hydrogen metallurgical system, so as to generate a system coordinated operation strategy for the target renewable energy hydrogen production and hydrogen metallurgical system based on the simulation model of the main components.

[0241] The simulation module 200 is used to simulate the full-year operation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and system coordinated operation strategy to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system.

[0242] The first determination module 300 is used to calculate the comprehensive scores of multiple capacity configuration schemes to determine the final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system according to the comprehensive scores.

[0243] Optionally, in one embodiment of the present application, the generation module 100 includes: an acquisition unit and a design unit.

[0244] The acquisition unit is used to acquire the operation characteristics and working modes of the electrolytic cell and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model.

[0245] A design unit is used to design a system coordinated operation strategy by combining the operation characteristics and working modes of the electrolyzer and gas-based furnace, the simulation models of the main components and the operation goals of the target renewable energy hydrogen production and hydrogen metallurgical system.

[0246] Optionally, in one embodiment of the present application, the design unit includes: a calculation subunit, a first determination subunit and a second determination subunit.

[0247] Among them, the calculation subunit is used to calculate the minimum reducing gas demand of the gas-based hardening furnace according to the operating characteristics and working mode of the gas-based hardening furnace, and calculate the surplus power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system.

[0248] The first determination subunit is used to determine the target working mode and power of the electrolyzer based on the remaining power, the operating characteristics and working mode of the electrolyzer, the energy storage power and the remaining power of the renewable energy power generation and hydrogen metallurgical system.

[0249] The second determination subunit is used to calculate the hydrogen shortage and hydrogen storage tank reserves of the renewable energy power generation hydrogen production and hydrogen metallurgical system, so as to determine the system coordination operation strategy based on the target working mode and power of the electrolyzer and the hydrogen shortage and hydrogen storage tank reserves.

[0250] Optionally, in one embodiment of the present application, it further includes: an establishing module and a second determining module.

[0251] Among them, a module is established to obtain the decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system before conducting a full-year operation simulation of the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and system coordinated operation strategy, so as to establish the objective function of the target renewable energy hydrogen production and hydrogen metallurgical system according to the decision variables.

[0252] The second determination module is used to determine a pre-established capacity optimization configuration model for renewable energy hydrogen production and hydrogen metallurgical system based on decision variables, objective functions and objective constraints.

[0253] Optionally, in one embodiment of the present application, the objective function may be, but is not limited to, expressed as:

[0254]

[0255] Among them, C DRI represents the minimum production cost of one ton of DRI, R aban represents the wind and solar curtailment rate, RF and l are the equipment investment coefficient and equipment operating life respectively, C init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind (t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

[0256] It should be noted that the aforementioned explanation of the embodiment of the capacity configuration method of the renewable energy hydrogen production and hydrogen metallurgical system is also applicable to the capacity configuration device of the renewable energy hydrogen production and hydrogen metallurgical system of this embodiment, and will not be repeated here.

[0257] According to the capacity configuration device of the renewable energy hydrogen production and hydrogen metallurgical system proposed in the embodiment of the present application, a simulation model of the main components in the renewable energy power generation hydrogen production and hydrogen metallurgical system can be established, and a system coordinated operation strategy is proposed to combine the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model to perform year-round operation simulation, and an improved algorithm is used to determine the target renewable energy hydrogen production and hydrogen metallurgical system The optimal capacity configuration scheme. Thus, it is achieved that the efficiency and stability of hydrogen production from renewable energy are guaranteed by the system coordinated operation strategy, thereby ensuring the coordinated operation between renewable energy hydrogen production and hydrogen metallurgical systems; by combining the component simulation model, the system coordinated operation strategy and the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model, the target is simulated for the whole year, effectively reducing the economic cost and duration of the operation simulation while reasonably configuring the capacity of each part of the renewable energy hydrogen production and hydrogen metallurgical system, achieving efficient operation of the hydrogen production device under a high proportion of renewable energy and stable production of the hydrogen metallurgical system, and this application uses different improved algorithms for solving different situations, which greatly improves the applicable scope and practical application ability of this application, and can provide a basis for the planning and research of renewable energy hydrogen production and hydrogen metallurgical systems in the future. As a result, the problems in related technologies such as the lack of efficiency and stability in hydrogen production from renewable energy, the difficulty in determining the flow relationship between energy flow and material flow in green hydrogen metallurgical systems, the imbalance in supply and demand between hydrogen production from renewable energy and hydrogen metallurgical quality inspection, and the mismatch in operating characteristics were solved. The problems such as how to reasonably configure the capacity of each part of the hydrogen production from renewable energy and hydrogen metallurgical system to achieve efficient operation of the hydrogen production device and stable production of the hydrogen metallurgical system under a high proportion of renewable energy were solved.

[0258] Fig.13 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0259] A memory 1301 , a processor 1302 , and a computer program stored in the memory 1301 and executable on the processor 1302 .

[0260] When the processor 1302 executes the program, the capacity configuration method of the renewable energy hydrogen production and hydrogen metallurgy system provided in the above embodiment is implemented.

[0261] Furthermore, the electronic device further comprises:

[0262] The communication interface 1303 is used for communication between the memory 1301 and the processor 1302 .

[0263] The memory 1301 is used to store computer programs that can be executed on the processor 1302 .

[0264] The memory 1301 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0265] If the memory 1301, the processor 1302 and the communication interface 1303 are implemented independently, the communication interface 1303, the memory 1301 and the processor 1302 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.13 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0266] Optionally, in a specific implementation, if the memory 1301, the processor 1302 and the communication interface 1303 are integrated on a chip, the memory 1301, the processor 1302 and the communication interface 1303 can communicate with each other through an internal interface.

[0267] The processor 1302 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0268] The embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned renewable energy hydrogen production and hydrogen metallurgy system capacity configuration method.

[0269] The embodiment of the present application also provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the capacity configuration method of the renewable energy hydrogen production and hydrogen metallurgy system provided in the embodiment of the present application is implemented.

[0270] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0271] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0272] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0273] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0274] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0275] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0276] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0277] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A capacity configuration method for renewable energy hydrogen production and hydrogen metallurgical system, characterized in that: The following steps are involved: Establishing a simulation model of main components in a target renewable energy hydrogen production and hydrogen metallurgical system, so as to generate a system coordinated operation strategy of the target renewable energy hydrogen production and hydrogen metallurgical system based on the simulation model of main components; Based on the pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system and the coordinated operation strategy of the system, a full-year operation simulation is performed on the target renewable energy hydrogen production and hydrogen metallurgical system to obtain multiple capacity configuration schemes for the target renewable energy hydrogen production and hydrogen metallurgical system; The comprehensive scores of the multiple capacity configuration schemes are calculated to determine a final capacity configuration scheme for the target renewable energy hydrogen production and hydrogen metallurgical system according to the comprehensive scores.

2. The method according to claim 1, characterized in that: The generating of the system coordinated operation strategy of the target renewable energy hydrogen production and hydrogen metallurgical system based on the main component simulation model comprises: Obtaining the operation characteristics and working modes of the electrolytic cell and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model; The system coordinated operation strategy is designed based on the operating characteristics and working modes of the electrolyzer and gas-based furnace, the simulation models of the main components and the operating goals of the target renewable energy hydrogen production and hydrogen metallurgical system.

3. The method according to claim 2, characterized in that The system coordinated operation strategy is designed in combination with the operation characteristics and working modes of the electrolyzer and the gas-based furnace, the simulation model of the main components and the operation target of the target renewable energy hydrogen production and hydrogen metallurgical system, including: Calculating the minimum reducing gas demand of the gas-based hardening furnace according to the operating characteristics and working mode of the gas-based hardening furnace, and calculating the surplus power of renewable energy power generation in the renewable energy power generation hydrogen production and hydrogen metallurgical system; Determining a target operating mode and power of the electrolyzer based on the residual power, the operating characteristics and operating mode of the electrolyzer, and the energy storage power and residual power of the renewable energy power generation and hydrogen metallurgical system; The hydrogen shortage and hydrogen tank reserves of the renewable energy power generation and hydrogen metallurgical system are calculated to determine the coordinated operation strategy of the system based on the target operating mode and power of the electrolyzer and the hydrogen shortage and hydrogen tank reserves.

4. The method according to claim 1, characterized in that Before performing the full-year operation simulation on the target renewable energy hydrogen production and hydrogen metallurgical system based on the pre-established renewable energy hydrogen production and hydrogen metallurgical system capacity optimization configuration model and the system coordinated operation strategy, the method further includes: Acquiring decision variables of the target renewable energy hydrogen production and hydrogen metallurgical system to establish an objective function of the target renewable energy hydrogen production and hydrogen metallurgical system according to the decision variables; Based on the decision variables, the objective function and the objective constraints, the pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system is determined.

5. The method according to claim 4, characterized in that The objective function is: Among them, C DRI represents the minimum production cost of one ton of DRI, R aban represents the wind and solar curtailment rate, RF and l are the equipment investment coefficient and equipment operating life respectively, C init and C op are the net present value cost and operation and maintenance cost of the equipment, C ore is the cost of ton of iron ore, m ore-l and m DRI-l are the iron ore consumption and DRI production of the shaft furnace during its life cycle, respectively. abandon (t) is the system power rejection at time t, P wind (t)+P solar (t) is the renewable energy power generation of the system at time t, and Δt is the system operation time.

6. A capacity configuration device for renewable energy hydrogen production and hydrogen metallurgical system, characterized in that: include: A generation module, used to establish a simulation model of main components in a target renewable energy hydrogen production and hydrogen metallurgical system, so as to generate a system coordinated operation strategy of the target renewable energy hydrogen production and hydrogen metallurgical system based on the simulation model of main components; A simulation module, for simulating the operation of the target renewable energy hydrogen production and hydrogen metallurgical system throughout the year based on a pre-established capacity optimization configuration model of the renewable energy hydrogen production and hydrogen metallurgical system and the coordinated operation strategy of the system, so as to obtain multiple capacity configuration schemes of the target renewable energy hydrogen production and hydrogen metallurgical system; A determination module is used to calculate the comprehensive scores of the multiple capacity configuration schemes to determine the final capacity configuration scheme of the target renewable energy hydrogen production and hydrogen metallurgical system according to the comprehensive scores.

7. The device according to claim 6, characterized in that The generating module comprises: An acquisition unit, used for acquiring the operation characteristics and working modes of the electrolytic cell and the gas-based vertical furnace in the actual main components corresponding to the main component simulation model; The design unit is used to design the coordinated operation strategy of the system by combining the operation characteristics and working modes of the electrolyzer and the gas-based furnace, the simulation models of the main components and the operation objectives of the target renewable energy hydrogen production and hydrogen metallurgical system.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the capacity configuration method for renewable energy hydrogen production and hydrogen metallurgical system as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the capacity configuration method of renewable energy hydrogen production and hydrogen metallurgical system as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed, it is used to implement the capacity configuration method of renewable energy hydrogen production and hydrogen metallurgical system as described in any one of claims 1-5.

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