Method, device and equipment for adjusting configuration parameters in electric hydrogen production process

By obtaining the output power of the power supply module, determining the configuration parameters of the electrolyzer and hydrogen storage tank, and constructing an integrated optimization model, the instability of the power system caused by the fluctuation of wind power and photovoltaic output power was solved, and the hydrogen production efficiency and grid stability were improved.

CN122013252APending Publication Date: 2026-05-12CRRC ZHUZHOU ELECTRIC LOCOMOTIVE RESEARCH INSTITUTE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CRRC ZHUZHOU ELECTRIC LOCOMOTIVE RESEARCH INSTITUTE CO LTD
Filing Date
2024-11-12
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

In existing technologies, the volatility and randomness of wind and solar power output affect the stable operation of the power system, resulting in low hydrogen production efficiency and making it difficult to effectively improve the efficiency of green electricity use.

Method used

By obtaining the output power of the power supply module, the configuration parameters of the electrolyzer and hydrogen storage tank are determined, including constraints such as hydrogen production cost, hydrogen supply deficit and hydrogen abandonment rate. The configuration of the electrolyzer and hydrogen storage tank is adjusted to meet the requirements of the constraints, and an integrated optimization model is constructed for comprehensive optimization.

Benefits of technology

It reduces the volatility and randomness of output power, ensures stable system operation, improves hydrogen production efficiency, reduces hydrogen production costs, enhances grid stability, and achieves supply and demand balance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention relates to the field of new energy wind and light hydrogen storage and production, and discloses a method, a device and equipment for adjusting configuration parameters in an electric hydrogen production process, and the method for adjusting the configuration parameters in the electric hydrogen production process comprises the following steps: obtaining the output power of a power supply module; based on the output power, determining input power of the power supply module for supplying power to an electrolytic bath through a power grid; on the basis of the input power, determining index values of constraint terms for adjusting the hydrogen production capacity of the electrolytic bath and the hydrogen storage capacity of a hydrogen storage tank in the electric hydrogen production process; the constraint term comprises at least one of the hydrogen production cost of the electrolytic cell, the hydrogen supply deficit of the electrolytic cell for supplying hydrogen to external equipment, and the hydrogen abandoning rate of the hydrogen storage tank; and adjusting configuration parameters of the electrolytic cell and the hydrogen storage tank so as to enable the adjusted hydrogen production amount and hydrogen storage amount to meet the requirements of the constraint term. According to the technical scheme, the problem of low hydrogen production efficiency in the prior art is solved, and the hydrogen production efficiency can be effectively improved.
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Description

Technical Field

[0001] This invention relates to the field of new energy wind, solar, energy storage and hydrogen production, and particularly to a method, apparatus and equipment for adjusting configuration parameters in the process of electro-hydrogen production. Background Technology

[0002] The development of new energy sources is booming, especially wind power and photovoltaics, which are the cleanest green energy sources and have become the focus of research and development in green energy generation. Due to the fluctuation and randomness of the output power of green electricity such as wind turbines and photovoltaic arrays, it can have a certain impact on the stable operation of the power system. In order to improve the efficiency of green electricity use, using electrolyzers to produce hydrogen to realize the consumption of green electricity is an effective way. At the same time, the hydrogen produced can be sold through hydrogen storage tanks, such as green hydrogen to ammonia, thus opening up the green energy ecosystem and promoting the development of green energy. In the green electricity to hydrogen production system, how to configure the number of hydrogen storage tanks, the rated power of the electrolyzer, and the capacity of the energy storage battery are key issues to improve the hydrogen production efficiency. Summary of the Invention

[0003] The purpose of this invention is to provide at least one method, apparatus, and equipment for adjusting configuration parameters in the electro-hydrogen production process, which can at least solve the problem of low hydrogen production efficiency in the prior art and at least achieve the effect of improving hydrogen production efficiency.

[0004] To address the aforementioned technical problems, at least one embodiment of this application provides a method for adjusting configuration parameters in an electro-hydrogen production process, comprising:

[0005] Obtain the output power of the power supply module;

[0006] Based on the output power, the input power supplied by the power supply module to the electrolytic cell via the power grid is determined;

[0007] Based on the input power, determine the index values ​​of the constraints used to adjust the hydrogen production rate of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process; the constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank.

[0008] Adjust the configuration parameters of the electrolyzer and the hydrogen storage tank so that the adjusted hydrogen production and hydrogen storage meet the requirements of the constraints.

[0009] At least one embodiment of this application also provides a device for adjusting configuration parameters in an electro-hydrogen production process, comprising:

[0010] The acquisition module is used to acquire the output power of the power supply module;

[0011] The first determining module is used to determine the input power supplied by the power supply module to the electrolytic cell via the power grid based on the output power;

[0012] The second determining module is used to determine, based on the input power, the index value of the constraint item used to adjust the hydrogen production of the electrolyzer and the hydrogen storage of the hydrogen storage tank during the electro-hydrogen production process; the constraint item includes at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank.

[0013] An adjustment module is used to adjust the configuration parameters of the electrolyzer and the hydrogen storage tank so that the adjusted hydrogen production and hydrogen storage meet the requirements of the constraints.

[0014] At least one embodiment of this application also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the above-described method for adjusting configuration parameters in the electro-hydrogen production process.

[0015] At least one embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for adjusting configuration parameters in the electro-hydrogen production process.

[0016] This application provides an embodiment of a method, apparatus, and device for adjusting configuration parameters in an electro-hydrogen production process. The method involves: acquiring the output power of a power supply module; determining, based on the output power, the input power supplied by the power supply module to the electrolyzer via the power grid; and determining, based on the input power, index values ​​for constraints used to adjust the hydrogen production rate of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process. The constraints include at least one of the following: hydrogen production cost of the electrolyzer, hydrogen supply deficit of the electrolyzer to external equipment, and hydrogen rejection rate of the hydrogen storage tank. The configuration parameters of the electrolyzer and the hydrogen storage tank are adjusted so that the adjusted hydrogen production rate and hydrogen storage capacity meet the requirements of the constraints. This reduces the fluctuation and randomness of the output power, thereby ensuring stable system operation and effectively improving the system's hydrogen production efficiency.

[0017] In some alternative embodiments, the hydrogen production cost of the electrolyzer is calculated using the following formula:

[0018]

[0019] Wherein, LCOH represents the hydrogen production cost of the electrolyzer during the evaluation period, and Cost represents the total hydrogen production cost. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0020] By determining the hydrogen production cost of the electrolyzer, the hydrogen production capacity of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the hydrogen production cost of the electrolyzer remains within a reasonable range and guaranteeing the economic efficiency of hydrogen production by the electrolyzer. The calculation is simple and easy to implement.

[0021] In some alternative embodiments, the hydrogen supply deficit of the electrolyzer to external equipment is constructed using the following formula:

[0022]

[0023] Wherein, THD represents the hydrogen supply deficit of the electrolyzer to external equipment during the evaluation period. Let t be the required hydrogen production at time t. Let be the amount of hydrogen produced by the electrolyzer at time t. Let t be the hydrogen content in the hydrogen storage tank at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0024] By determining the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen production of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the hydrogen supply deficit of the electrolyzer is kept within a reasonable range, ensuring that the hydrogen production of the electrolyzer is kept in balance between supply and demand, and avoiding insufficient hydrogen production or excessive hydrogen production surplus. The calculation is simple and easy to implement.

[0025] In some optional embodiments, the hydrogen rejection rate of the hydrogen storage tank is constructed using the following formula:

[0026]

[0027] Wherein, DHR is the hydrogen rejection rate of the hydrogen storage tank during the assessment period. Let t be the amount of hydrogen discarded from the hydrogen storage tank at time t. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0028] By determining the hydrogen rejection rate of the hydrogen storage tank, the hydrogen production of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the amount of hydrogen rejection is kept within a reasonable range and avoiding excessive rejection. The calculation is simple and easy to implement.

[0029] In some optional embodiments, the method for adjusting the configuration parameters in the electro-hydrogen production process further includes:

[0030] Based on the input power, determine the actual power waste rate of the electrolytic cell relative to the output power;

[0031] Adjust the rated power of the electrolyzer during the electro-hydrogen production process so that the actual power waste rate reaches the target power waste rate.

[0032] By adjusting the rated power of the electrolyzer during the electro-hydrogen production process, the actual power curtailment rate can reach the target power curtailment rate, thereby improving energy utilization efficiency, reducing hydrogen production costs, increasing economic benefits, and enhancing grid stability.

[0033] In some alternative embodiments, the power rejection rate of the electrolyzer with respect to the output power is constructed using the following formula:

[0034]

[0035] Wherein, EDP is the power wastage rate of the electrolytic cell for the output power during the evaluation period. Let be the output power of the power supply module at time t. The conversion power is the power supplied from the power supply module to the electrolytic cell via the power grid, where t = 1, 2, 3, ..., N, and N is the total number of moments in the evaluation period.

[0036] By determining the power waste rate of the electrolytic cell for its output power, the rated power of the electrolytic cell can be controlled and adjusted, thereby ensuring that the power waste of the electrolytic cell remains within a reasonable range and avoiding excessive power waste. The calculation is simple and easy to implement.

[0037] In some optional embodiments, the method for adjusting the configuration parameters in the electro-hydrogen production process further includes: constructing an integrated optimization model.

[0038] minF(X)=[LCOH(X), THD(X), DHR(X), EDR(X)]

[0039] Where X is the decision variable, including: Q is the rated power of the electrolytic cell. b N is the rated power of the battery. ht The number of hydrogen storage tanks; LCOH(X), THD(X), DHR(X), and EDR(X) are, in order, the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer for external equipment, the hydrogen rejection rate of the hydrogen rejection tank, and the power rejection rate of the electrolyzer for the output power.

[0040] The integrated optimization model is based on the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen waste rate of the hydrogen waste tank, and the power waste rate of the electrolyzer for the output power, and the optimization terms corresponding to the decision variables.

[0041] The integrated optimization model is used to comprehensively optimize each of the optimization items to obtain the optimal configuration parameters and the optimal configuration value of the rated power for adjusting the electrolyzer and the hydrogen storage tank.

[0042] By constructing an integrated optimization model, the impact of multiple objectives on the hydrogen production process can be comprehensively considered. The hydrogen production cost, hydrogen supply deficit, hydrogen abandonment rate, and power abandonment rate of the electrolyzer can be optimized in an integrated manner to avoid the situation where there is a trade-off between hydrogen production cost, hydrogen supply deficit, hydrogen abandonment rate, and power abandonment rate. A compromise optimization result can be selected to ensure the economy and reliability of the hydrogen production process. Through the integrated optimization model, the loss of the source-side supply rate can also be minimized as much as possible, that is, the source-side power can be stored by the electrolyzer and battery as much as possible. At the same time, the hydrogen demand of the load side can be met as much as possible, thereby reducing hydrogen waste. This is achieved by adjusting the hydrogen return at each moment through the charging / discharging of hydrogen storage tanks. Attached Figure Description

[0043] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.

[0044] Figure 1 This is a schematic flowchart illustrating a method for adjusting configuration parameters in an electro-hydrogen production process provided by an embodiment of this application;

[0045] Figure 2 This is a schematic diagram of photovoltaic light intensity data provided in an embodiment of this application;

[0046] Figure 3 This is a schematic diagram of ambient temperature data provided in an embodiment of this application;

[0047] Figure 4 This is a schematic diagram of the output result of solving the integrated optimization model using the target algorithm, provided in an embodiment of this application.

[0048] Figure 5 This is a schematic diagram showing the output power of the photovoltaic power supply module and the electrolytic cell after solving the integrated optimization model provided in the embodiments of this application;

[0049] Figure 6 This is a schematic diagram showing the hydrogen production and demand after solving the integrated optimization model provided in the embodiments of this application;

[0050] Figure 7 This is a schematic diagram showing the amount of hydrogen deficiency and hydrogen waste after solving the integrated optimization model provided in the embodiments of this application;

[0051] Figure 8 This is a schematic diagram of the state of charge of the hydrogen storage tank and battery after solving the integrated optimization model provided in the embodiments of this application;

[0052] Figure 9 This is a schematic diagram of the operating efficiency curve of the ALE (electrolyte) provided in the embodiments of this application;

[0053] Figure 10 This is a schematic diagram of the working efficiency curve of the PEM (proton exchange membrane) electrolyzer provided in the embodiments of this application;

[0054] Figure 11 This is a schematic diagram of a configuration parameter adjustment system in an electro-hydrogen production process provided by an embodiment of this application;

[0055] Figure 12 This is another schematic flowchart illustrating a method for adjusting configuration parameters in an electro-hydrogen production process provided by an embodiment of this application;

[0056] Figure 13 This is a network topology diagram of a configuration parameter adjustment system in an electro-hydrogen production process provided by an embodiment of this application;

[0057] Figure 14 This is a schematic diagram of a module for adjusting configuration parameters in an electro-hydrogen production process, provided in an embodiment of this application. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0059] The technical solution of this invention can flexibly configure different topologies and equipment configurations of "source (storage)-grid-load". It establishes wind power, photovoltaic processing models, battery models, hydrogen storage tank models, grid transmission models, electrolyzer models, system index models, etc. At the same time, considering the working characteristics of electrolyzers, it establishes a multi-objective optimization model and combines optimization algorithms to solve the multi-objective optimization model. Combined with a rule-based energy scheduling strategy, it achieves optimized capacity allocation that considers economics and supply and demand balance.

[0060] This invention innovatively establishes an integrated optimization model that considers economic indicators and the balance between hydrogen supply and production to address the capacity optimization configuration problem of new energy hydrogen production systems. This model can implement different topology configurations for wind, solar, storage, off-grid and grid-connected modes, and solves the integrated optimization model through algorithms, providing strong support for the development of related technologies for new energy hydrogen production systems.

[0061] To address the technical problem of low hydrogen production efficiency in the prior art, this invention proposes a method for adjusting configuration parameters in an electro-hydrogen production process. The implementation details of this method are described below. The following details are provided for ease of understanding and are not essential for implementing this solution.

[0062] Example 1:

[0063] The method for adjusting configuration parameters in the electro-hydrogen production process described in this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities. The specific process can be as follows: Figure 1 As shown, it includes:

[0064] Step 101: Obtain the output power of the power supply module;

[0065] Step 102: Based on the output power, determine the input power that the power supply module supplies to the electrolytic cell via the power grid;

[0066] Step 103: Based on the input power, determine the index values ​​of the constraints used to adjust the hydrogen production of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process; the constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank.

[0067] Step 104: Adjust the configuration parameters of the electrolyzer and hydrogen storage tank to ensure that the adjusted hydrogen production and storage capacity meet the requirements of the constraints.

[0068] In this embodiment, by acquiring the output power of the power supply module, the input power supplied by the power supply module to the electrolyzer via the power grid is determined based on the output power. Based on the input power, the index values ​​of the constraints used to adjust the hydrogen production rate of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process are determined. The constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank. The configuration parameters of the electrolyzer and the hydrogen storage tank are adjusted so that the adjusted hydrogen production rate and hydrogen storage capacity meet the requirements of the constraints. This reduces the fluctuation and randomness of the output power, thereby ensuring the stable operation of the system and effectively improving the hydrogen production efficiency of the system.

[0069] Example 2:

[0070] The method for adjusting the configuration parameters in the electro-hydrogen production process of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. This embodiment provides a detailed description of the implementation details of steps 101 to 104 as described in Embodiment 1. The following content is only for the convenience of understanding the implementation details and is not necessary for implementing this solution.

[0071] In step 101, the output power of the power supply module is obtained.

[0072] The power supply module may include a photovoltaic power supply module and a wind turbine power supply module.

[0073] Specifically, in some embodiments, step 101 may include:

[0074] Step 1011: Obtain environmental and power data corresponding to the photovoltaic power supply module within a preset time period; and,

[0075] Step 1012: Determine the output power based on the environmental and power data corresponding to the photovoltaic power supply module; or

[0076] Step 1013: Obtain the environmental and power data corresponding to the fan power supply module within a preset time period; and,

[0077] Step 1014: Determine the output power based on the environmental and power data corresponding to the fan power supply module.

[0078] The environmental and power data corresponding to the photovoltaic power supply module may include: photovoltaic irradiance, temperature coefficient, standard temperature, ambient temperature, actual temperature, standard illuminance, photovoltaic rated power, and number of photovoltaic modules.

[0079] For example: photovoltaic irradiance data, such as Figure 2 As shown, the ambient temperature data is as follows: Figure 3 As shown.

[0080] The environmental and power data corresponding to the wind turbine power supply module may include: wind turbine cut-in wind speed, wind turbine rated wind speed, number of wind turbines, and wind turbine rated power.

[0081] Furthermore, the output power of the photovoltaic power supply module can be determined using the following formula:

[0082]

[0083] Among them, P PV_t P provides the output power for the photovoltaic power supply module. PV_rated For photovoltaic rated power, G t G represents the actual light intensity of the photovoltaic power supply module at time t. STC The light intensity under standard test conditions is given by k, where k is the temperature coefficient and T is the light intensity under standard test conditions.ct T represents the actual temperature. STC The ambient temperature.

[0084] It should be noted that in the above formula, the output power P of the photovoltaic power supply module... PV_t The unit can be KW (kilowatt), and the rated photovoltaic power P. PV_rated The unit can be KW (kilowatt), where G is the actual irradiance G of the photovoltaic power supply module at time t. t The unit can be W / m 2 (Watts / square meter), Irradiance C under standard test conditions STC It can be 1000W / m 2 Standard test conditions refer to the test conditions used by photovoltaic module manufacturers to rate and certify photovoltaic modules. Specifically, these conditions may include: ambient temperature 25℃, air quality AM1.5, wind speed 0 m / s, and illuminance 1000 W / m². 2 The ambient temperature can be 25℃.

[0085] The output power of the fan power supply module can be determined using the following formula:

[0086]

[0087] Among them, P WT_t N provides the output power for the electronic module of the wind turbine. wt P represents the number of wind turbines in the wind turbine power supply module. wt_rated The rated power of the fan, v t Let v be the actual wind speed at time t. rated For the rated wind speed, v cut_in For the fan's cut-in wind speed, v cut_out Cut off the wind speed for the fan.

[0088] It should be noted that the output power P of the fan power supply electronic module WT_t The unit is KW, and the rated power of the fan is P. wt_rated The unit is KW, and the rated wind speed is v. rated The unit is m / s, and the fan cut-in velocity is v. cut_in The minimum wind speed required for wind turbines to be connected to the grid for power generation, expressed in m / s, is the actual wind speed v at time t. t The unit is m / s.

[0089] In this embodiment, power generation is achieved through a photovoltaic power supply module or a wind turbine power supply module, which utilizes renewable energy to ensure a sustainable power supply. The calculation process is simple and easy to implement using the formula described above.

[0090] Step 102: Based on the output power, determine the input power that the power supply module supplies to the electrolytic cell via the power grid.

[0091] The input power is transmitted from the wind and solar power modules to the electrolyzer via the power grid, enabling the electrolyzer to produce hydrogen.

[0092] Specifically, in some embodiments, taking the photovoltaic power supply module supplying power to the electrolytic cell via the power grid as an example, the input power in step 102 can be determined by the following formula:

[0093] P in_t =P PV_t η net η load

[0094] Among them, P in_t P represents the power input from the photovoltaic power supply module to the electrolytic cell via the power grid. PV_t η is the output power of the photovoltaic power supply module. net For power grid transmission efficiency, specifically 98%, η load For load-side transmission efficiency, specifically it can be 95%.

[0095] It should be noted that, similarly, when the fan-powered electronic module supplies power to the electrolytic cell via the power grid, the input power of the fan-powered electronic module supplying power to the electrolytic cell via the power grid can also be obtained through the above calculation method.

[0096] In step 103, based on the input power, the index values ​​of the constraints used to adjust the hydrogen production of the electrolyzer and the hydrogen storage of the hydrogen storage tank during the electro-hydrogen production process are determined; the constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank.

[0097] Specifically, in some embodiments, step 103 may include:

[0098] Step 1031: Construct the hydrogen production cost of the electrolyzer using the following formula:

[0099]

[0100] Wherein, LCOH represents the hydrogen production cost of the electrolyzer during the evaluation period, and Cost represents the total hydrogen production cost. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0101] In practical implementation, the total hydrogen production cost (Cost) in the above formula can include parameters such as the construction cost, operation and maintenance cost, and recycling cost of the power supply module, battery, electrolyzer, and hydrogen storage tank. Among them, the recycling cost can include the equipment depreciation rate. Specific parameter values ​​are shown in Table 1 below, but are not limited to the parameter values ​​shown in Table 1 below:

[0102] parameter Construction costs Operation and maintenance costs (per year) Equipment depreciation rate Power supply module 3000 yuan / kW (kilowatt) 35 yuan / kW 0.04% storage battery 1000 yuan / kWh 10 yuan / kWh 0.04% Electrolytic cell 3600 yuan / kWh 36 yuan / kWh 0.04% hydrogen storage tank 380 yuan / each 20 yuan / each 0.04%

[0103] Table 1

[0104] Furthermore, based on construction costs, operation and maintenance costs, and equipment depreciation rates, the formula for calculating the hydrogen production cost of the electrolyzer is as follows:

[0105]

[0106] Wherein, LCOH represents the hydrogen production cost of the electrolyzer during the evaluation period, cap_cost represents the construction cost, op_cost represents the operation and maintenance cost, and salvge_cost represents the equipment depreciation rate. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0107] By determining the hydrogen production cost of the electrolyzer, the hydrogen production capacity of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the hydrogen production cost of the electrolyzer remains within a reasonable range and guaranteeing the economic efficiency of hydrogen production by the electrolyzer. The calculation is simple and easy to implement.

[0108] Step 1032: Construct the hydrogen supply deficit of the electrolyzer to external equipment using the following formula:

[0109]

[0110] Among them, THD represents the hydrogen supply deficit of the electrolyzer to external equipment during the evaluation period. Let t be the required hydrogen production at time t. Let be the amount of hydrogen produced by the electrolyzer at time t. Let t be the hydrogen content in the hydrogen storage tank at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0111] The hydrogen supply deficit is the ratio of the total hydrogen supply shortfall to the total hydrogen production demand during the assessment period. The units for hydrogen demand, production, and hydrogen content are kg (kilograms). The smaller the hydrogen supply deficit from the electrolyzer to external equipment, the more stable the supply and demand of the electrolytic hydrogen production system.

[0112] By determining the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen production of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the hydrogen supply deficit of the electrolyzer is kept within a reasonable range, ensuring that the hydrogen production of the electrolyzer is kept in balance between supply and demand, and avoiding insufficient hydrogen production or excessive hydrogen production surplus. The calculation is simple and easy to implement.

[0113] Step 1033: Construct the hydrogen rejection rate of the hydrogen storage tank using the following formula:

[0114]

[0115] Wherein, DHR is the hydrogen rejection rate of the hydrogen storage tank during the assessment period. Let be the amount of hydrogen discarded from the hydrogen storage tank at time t. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0116] The hydrogen abandonment rate is the ratio of total abandoned electricity to total hydrogen production during the assessment period. The unit for abandoned hydrogen is kg.

[0117] By determining the hydrogen rejection rate of the hydrogen storage tank, the hydrogen production of the electrolyzer and the number of hydrogen storage tanks can be controlled and adjusted, thereby ensuring that the amount of hydrogen rejection is kept within a reasonable range and avoiding excessive rejection. The calculation is simple and easy to implement.

[0118] Specifically, in some embodiments, the method for adjusting the configuration parameters in the electro-hydrogen production process may further include:

[0119] Step 105: Based on the input power, determine the actual power wastage rate of the electrolyzer relative to the output power;

[0120] Step 106: Adjust the rated power of the electrolyzer during the electro-hydrogen production process so that the actual power waste rate reaches the target power waste rate.

[0121] By adjusting the rated power of the electrolyzer during the electro-hydrogen production process, the actual power curtailment rate can reach the target power curtailment rate, thereby improving energy utilization efficiency, reducing hydrogen production costs, increasing economic benefits, and enhancing grid stability.

[0122] Specifically, in some embodiments, the method for adjusting the configuration parameters in the electro-hydrogen production process may further include:

[0123] Step 107: Construct the power waste rate of the electrolytic cell for the output power using the following formula:

[0124]

[0125] Wherein, EDP represents the rate of power wastage by the electrolyzer for output power during the evaluation period. Let be the output power of the power supply module at time t. The power conversion is the power supplied from the power supply module to the electrolytic cell via the power grid, where t = 1, 2, 3, ..., N, and N is the total number of moments in the evaluation period.

[0126] The curtailment rate is the ratio of the system's remaining electricity to its generated electricity during the assessment period. The power conversion process from the power supply module to the electrolyzer via the grid can include: load power consumption, system power loss, and system stored power.

[0127] It should be noted that the output power of the power supply module, and the conversion power during the process of supplying power from the power supply module to the electrolyzer via the power grid, can be calculated based on different power supply modules. The lower the power curtailment rate of the electrolyzer during the evaluation period, the more stable the supply and demand of the electro-hydrogen production system.

[0128] By determining the power waste rate of the electrolytic cell for its output power, the rated power of the electrolytic cell can be controlled and adjusted, thereby ensuring that the power waste of the electrolytic cell remains within a reasonable range and avoiding excessive power waste. The calculation is simple and easy to implement.

[0129] Specifically, in some embodiments, the method for adjusting the configuration parameters in the electro-hydrogen production process may further include:

[0130] Step 108, Construct an integrated optimization model:

[0131] minF(X)=[LCOH(X), THD(X), DHR(X), EDR(X)]

[0132] Where X is the decision variable, including: Q is the rated power of the electrolytic cell. b N is the rated power of the battery. ht The number of hydrogen storage tanks; LCOH(X), THD(X), DHR(X), and EDR(X) are, in order, the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen rejection rate of the hydrogen rejection tank, and the power rejection rate of the electrolyzer for its output power.

[0133] The integrated optimization model is based on the optimization terms corresponding to the decision variables, including the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen waste rate of the hydrogen waste tank, and the power waste rate of the electrolyzer for output power.

[0134] The integrated optimization model is used to comprehensively optimize each optimization item to obtain the optimal configuration parameters for adjusting the electrolyzer and hydrogen storage tank, as well as the optimal configuration value of the rated power.

[0135] It should be noted that the optimization objective of the integrated optimization model is to minimize the cost and the difference between hydrogen demand and hydrogen production.

[0136] Specifically, the constraints for constructing the integrated optimization model, namely the upper and lower limits of the number of hydrogen storage tanks, the operating power of the electrolyzer, and the battery capacity, may include:

[0137]

[0138] Among them, SOC b,min This represents the minimum capacity of the battery. Let t be the battery capacity, and SOC. b,max P represents the maximum capacity of the battery. elz,min This is the minimum operating power of the electrolytic cell. Let P be the rated power of the electrolytic cell at time t. elz,max The SOC is the highest operating power of the electrolyzer. ht,min This is the minimum capacity of the hydrogen storage tank. Let t be the capacity of the hydrogen storage tank, and SOC be the state of charge. ht,max N is the maximum capacity of the hydrogen storage tank. ht,min This represents the minimum number of hydrogen storage tanks. Let N be the number of hydrogen storage tanks at time t. ht,max The maximum number of hydrogen storage tanks is t = 1, 2, 3, ..., N; N is the total number of moments within the evaluation period.

[0139] In this embodiment, by constructing an integrated optimization model, the impact of multiple objectives on the hydrogen production process can be comprehensively considered. The hydrogen production cost, hydrogen supply deficit, hydrogen abandonment rate, and power abandonment rate of the electrolyzer can be optimized in an integrated manner to avoid the situation where there is a trade-off between hydrogen production cost, hydrogen supply deficit, hydrogen abandonment rate, and power abandonment rate. A compromise optimization result is selected to ensure the economy and reliability of the hydrogen production process. Through the integrated optimization model, the loss of the source-side supply rate can also be minimized as much as possible, that is, the source-side power can be stored by the electrolyzer and the battery as much as possible. At the same time, the hydrogen demand of the load side can be met as much as possible, thereby reducing hydrogen waste. That is, the hydrogen return at each moment can be adjusted by charging / discharging hydrogen in the hydrogen storage tank.

[0140] In specific implementations, in some embodiments, the integrated optimization model can be solved using a target algorithm to obtain the results;

[0141] The specific process of solving the integrated optimization model using the objective algorithm can include:

[0142] Step A: Set the parameters of the target algorithm: population size N = 50, number of iterations T = 200, initialization t = 0;

[0143] Step B: Randomly generate an initial population P0, perform a non-dominated sort on the initial population P0, and initialize the rank value of each individual;

[0144] Step C: Select crossover mutation to generate a new generation population Q t Calculate the rank value of the non-dominated sort. Each individual in the population is compared with N-1 individuals in the population for each constraint (i.e., the hydrogen production cost LCOH of the electrolyzer, the hydrogen supply deficit THD of the electrolyzer to external equipment, the hydrogen rejection rate DHR of the hydrogen storage tank, and the power rejection rate EDP of the electrolyzer for the output power).

[0145] Step D: Merge R t =P t UQ t The population size is 2N;

[0146] Step E: Perform fast non-dominated sorting, and calculate the crowding degree of individuals in each non-dominated layer. The crowding degree of the boundary solution can be set to infinity. Based on the non-dominated relationship and the crowding degree of the individuals, select the N least crowded individuals to form a new parent population P. t +1;

[0147] Step F: Determine if the exit condition is met. If it is, exit the iteration and output the current result; otherwise, return to step C until the exit condition is met, then exit the iteration and output the result. The output result curve is shown below. Figure 4 As shown. The output power of the photovoltaic power supply module and the electrolyzer after solving the integrated optimization model is as follows. Figure 5 As shown, the hydrogen production and demand after solving the integrated optimization model are as follows: Figure 6 As shown, the hydrogen deficiency and hydrogen waste amounts after solving the integrated optimization model are as follows: Figure 7 As shown, the state of charge of the hydrogen storage tank and battery after solving the integrated optimization model is as follows: Figure 8 As shown.

[0148] Among them, solving the integrated optimization model through the objective algorithm can comprehensively optimize multiple objectives, while quickly converging to the optimal solution region and maintaining the diversity of solution results. It has good convergence and distribution, and has good flexibility and versatility.

[0149] Example 3:

[0150] The method for adjusting the configuration parameters in the electro-hydrogen production process of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. This embodiment provides a detailed description of the implementation details of the steps before step 103 in the above embodiment. The following content is only for the convenience of understanding and is not necessary for implementing this solution.

[0151] Specifically, in some embodiments, step 103, before determining the index values ​​of the constraint terms used to adjust the hydrogen production rate of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process, may include:

[0152] The actual hydrogen production of the electrolyzer can be determined by combining the initial state of the electrolyzer, such as whether the electrolyzer is shut down, the initial state of the hydrogen storage tank, and the initial state of the battery, and the state of charge of the hydrogen storage tank and the battery can be obtained iteratively.

[0153] Step 103A: If the electrolyzer is in a shutdown state and the shutdown time is less than the preset time, the electrolyzer will not work, so the hydrogen production will be 0, and the state of charge of the hydrogen storage tank and the battery will remain unchanged.

[0154] Step 103B: If the downtime of the electrolyzer has reached the preset duration, then determine the hydrogen production of the electrolyzer, as well as the state of charge of the hydrogen storage tank and the state of charge of the battery, based on the relationship between the input power of the electrolyzer, the minimum operating power of the electrolyzer, the rated power of the electrolyzer, and the maximum operating power of the electrolyzer.

[0155] Further, step 103B may include:

[0156] Step 103B1: When the input power is less than the minimum operating power, the actual hydrogen production is 0. If the battery is fully charged, the wasted power is the input power; otherwise, according to... Determine the state of charge (SOC) of the battery, determine the battery's charging capacity based on the SOC, determine the difference between the charging capacity and the input power, and the amount of power wasted is the difference between the charging capacity and the input power.

[0157] in, Let t be the state of charge of the battery at time t. Let α be the state of charge of the battery at time t-1, where α is a constant, specifically 6.944e -7 η charge The charging efficiency of the battery can be specifically 86%. Let Q be the charging power of the battery at time t, and ΔT be the charging time of the battery, which can be 1 hour. b This refers to the rated power of the battery.

[0158] It should be noted that the battery is 100% charged when fully charged.

[0159] When the input power is less than the minimum operating power, it means that the current input power does not meet the minimum operating requirements of the electrolyzer. Therefore, the electrolyzer does not work and the hydrogen production is 0. If the battery is fully charged, the input power is discarded. Otherwise, the battery is charged until all the input power is used up, or the battery reaches full charge and the excess power is discarded.

[0160] Step 103B2: When the input power is greater than the minimum operating power but less than the rated power, then according to... Determine the battery's state of charge (SOC). If the SOC is greater than or equal to the difference between the rated power and the input power, control the battery to supply power to the electrolyzer, enabling the electrolyzer to produce hydrogen. Then, based on... Determine the hydrogen production rate;

[0161] in, Let t be the state of charge of the battery at time t. Let be the state of charge of the battery at time t-1, and Δ be a constant, specifically 6.944e. -7 η discharge This refers to the battery's discharge efficiency. Let Q be the battery's discharge power at time t, and ΔT be the battery's discharge time, which can be 1 hour. b This refers to the rated power of the battery. Let be the hydrogen production rate of the electrolyzer at time t. Let t be the operating power of the electrolytic cell. The efficiency of the electrolyzer at time t is 95%, and HHV is the hydrogen energy density, which is 39.86 kWh / kg.

[0162] When the input power is greater than the minimum operating power but less than the rated power, if the current capacity of the battery is sufficient to compensate for the difference between the rated power of the electrolytic cell and the current input power, the battery will continue to supply power to the electrolytic cell, so that the electrolytic cell operates in the rated state, that is, the operating power of the electrolytic cell is equal to the rated power of the electrolytic cell. Otherwise, the electrolytic cell operates in the fluctuating state, that is, the operating power of the electrolytic cell is equal to the input power.

[0163] Step 103B3: When the input power is greater than the rated power but less than the maximum operating power, determine the difference between the input power and the rated power, and based on... Determine the battery's state of charge (SOC), and based on the SOC, determine the battery's charging capacity. The discharged capacity is determined as the difference between the charging capacity and the difference between the input power and the rated power. Determine the hydrogen production rate;

[0164] in, Let t be the state of charge of the battery at time t. Let α be the state of charge of the battery at time t-1, where α is a constant, specifically 6.944e -7 η charge The charging efficiency of the battery can be specifically 86%. Let Q be the charging power of the battery at time t, and ΔT be the charging time of the battery, which can be 1 hour. b This refers to the rated power of the battery. Let be the hydrogen production rate of the electrolyzer at time t. Let t be the operating power of the electrolytic cell. The efficiency of the electrolyzer at time t is 95%, and HHV is the hydrogen energy density, which is 39.86 kWh / kg.

[0165] When the input power is greater than the rated power but less than the maximum working power, the electrolytic cell operates in the rated state, that is, the working power of the electrolytic cell is equal to the rated power of the electrolytic cell. If the battery is not fully charged, the portion of the current input power that exceeds the rated power of the electrolytic cell is used to charge the battery until all the remaining power is used up. That is, the current charging power of the battery is equal to the difference between the input power and the current working power of the electrolytic cell, or the battery reaches a fully charged state and thus discards the excess power.

[0166] Step 103B4: When the input power is greater than the maximum operating power, determine the difference between the input power and the rated power, and according to... Determine the battery's state of charge (SOC), and based on the SOC, determine the battery's charging capacity. The discharged capacity is determined as the difference between the charging capacity and the difference between the input power and the rated power. Determine the hydrogen production rate;

[0167] in, Let t be the state of charge of the battery at time t. Let α be the state of charge of the battery at time t-1, and η be a constant. charge For the charging efficiency of the storage battery, Let Q be the charging power of the battery at time t, ΔT be the charging time of the battery, and Q be the charging power of the battery at time t. b This refers to the rated power of the battery. Let be the hydrogen production rate of the electrolyzer at time t. Let t be the operating power of the electrolytic cell. Let t be the efficiency of the electrolyzer at time t, and HHV be the hydrogen energy density.

[0168] When the input power exceeds the maximum operating power, it indicates that the electrolytic cell is operating in an overload state, meaning the operating power of the electrolytic cell is [value missing]. If the battery is not fully charged, a portion of the current input power is used to charge the battery until all the remaining power is used up, or the battery reaches full charge and the excess power is discarded.

[0169] Step 103C: If the hydrogen production is less than the preset required hydrogen production, and the hydrogen storage tank has a capacity equal to the baseline value, then the difference between the hydrogen production and the preset required hydrogen production is made up using the hydrogen stored in the storage tank, and according to... Determine the state of charge of the hydrogen storage tank; otherwise, according to... Determine the state of charge of the hydrogen storage tank;

[0170] in, Let t represent the state of charge of the hydrogen storage tank. The state of charge of the hydrogen storage tank at time t-1. M represents the amount of hydrogen released from the hydrogen storage tank. ht This refers to the total capacity of the hydrogen storage tank. The amount of hydrogen to be added to the hydrogen storage tank.

[0171] Specifically, when the hydrogen production is less than the preset demand, if the hydrogen storage tank has sufficient hydrogen reserves, the difference between the hydrogen demand and the production will be made up by the hydrogen storage tank, and based on... Determine the state of charge of the hydrogen storage tank, whereby, If the hydrogen content in the hydrogen storage tank is less than the minimum value, then that portion of the hydrogen produced should be discarded.

[0172] When hydrogen production is greater than or equal to the preset demand, if the hydrogen storage tank is not full, the difference between the hydrogen demand and production will be absorbed by the storage tank, and according to... Determine the state of charge of the hydrogen storage tank, whereby,

[0173] in, Let t be the required hydrogen production at time t. Let t be the amount of hydrogen produced at time t.

[0174] Furthermore, the depth of discharge of a battery can be determined using the following formula:

[0175]

[0176] in, Let t be the depth of discharge of the battery. Let Q be the battery's discharge power at time t, ΔT be the discharge duration, and Q be the discharge power at time t. b This refers to the rated power of the battery.

[0177] Furthermore, based on the characteristic efficiency of the electrolyzer, the working efficiency of the electrolyzer can be determined by fitting. The working efficiency curve of the electrolyzer can be shown as follows: Figure 9 and Figure 10 As shown, Figure 9 The efficiency curve of the ALE (electrolyte) is shown. Figure 10 The efficiency curve of the PEM (proton exchange membrane) electrolyzer.

[0178] The working efficiency of an electrolytic cell can be determined by the following formula:

[0179]

[0180] in, To improve the working efficiency of the electrolytic cell. Let P be the operating power of the electrolytic cell at time t. elz,rat denoted as the rated power of the electrolytic cell, and a, b, and c are fitting coefficients.

[0181] The actual operating state of an electrolytic cell can be determined by the following formula:

[0182]

[0183] in, This refers to the operating power of the electrolytic cell. Let P be the input power of the electrolytic cell at time t. elz,min P is the minimum operating power of the electrolytic cell. elz,rat Let be the rated power of the electrolytic cell, and min be the minimum value to be calculated.

[0184] In this embodiment, different ranges are determined based on the relationship between the input power and the minimum operating power, rated power, and maximum operating power of the electrolyzer. Within each range, the hydrogen production, hydrogen waste, electricity waste, state of charge of the electrolyzer, and state of charge of the hydrogen storage tank are determined, thereby enabling precise adjustment of hydrogen production, maximizing resource utilization, and ensuring the safe and stable operation of the system.

[0185] Example 4:

[0186] The method for adjusting configuration parameters in the electro-hydrogen production process of this embodiment can be applied to electronic devices with communication, computing, and data storage capabilities. This embodiment provides a detailed description of the overall structure of the system for adjusting configuration parameters in the electro-hydrogen production process, as well as the implementation details of the method for adjusting configuration parameters in the electro-hydrogen production process.

[0187] like Figure 11 As shown, the system for adjusting the configuration parameters in the electro-hydrogen production process may include:

[0188] Photovoltaic power supply modules or wind turbine power supply modules, power grid, batteries, electrolyzers, and hydrogen storage tanks.

[0189] When the configuration parameter adjustment system in the electro-hydrogen production process is working, the photovoltaic power supply module or the wind turbine power supply module outputs power, which is then supplied to the electrolyzer via the power grid, enabling the electrolyzer to perform hydrogen production and store the produced hydrogen in a hydrogen storage tank.

[0190] When the input power is lower than the minimum operating power of the electrolyzer, the input power is insufficient to make the electrolyzer work. At this time, the battery uses the electricity stored in it to power the electrolyzer, enabling the electrolyzer to produce hydrogen.

[0191] When the input power is higher than the minimum operating power of the electrolytic cell but lower than the rated power, the power corresponding to the difference between the input power and the rated power is supplied to the electrolytic cell by the battery.

[0192] When the input power is higher than the rated power but lower than the maximum working power of the electrolytic cell, the power corresponding to the difference between the input power and the maximum working power is stored in the battery.

[0193] When the input power is higher than the maximum operating power, the portion of power corresponding to the difference between the input power and the maximum operating power is stored in the battery.

[0194] The specific implementation process of the method for adjusting the configuration parameters in the electro-hydrogen production process may include:

[0195] Obtain environmental and power data corresponding to photovoltaic power supply modules or wind turbine power supply modules;

[0196] Calculate the output power based on the photovoltaic power supply module or the wind turbine power supply module;

[0197] Calculate the input power of the electrolytic cell based on the output power;

[0198] Based on the input power, determine the hydrogen supply cost (LCOH) of the electrolyzer, the hydrogen supply deficit (THD) of the electrolyzer for supplying power to external equipment, the hydrogen rejection rate (DHR) of the hydrogen storage tank, and the power rejection rate (EDP) of the electrolyzer.

[0199] An integrated optimization model is constructed based on the hydrogen supply cost (LCOH) of the electrolyzer, the hydrogen supply deficit (THD) of the electrolyzer for powering external equipment, the hydrogen abandonment rate (DHR) of the hydrogen storage tank, and the power abandonment rate (EDP) of the electrolyzer.

[0200] The results are obtained by solving the integrated optimization model based on the objective algorithm.

[0201] In this embodiment, a system for adjusting configuration parameters during the electro-hydrogen production process can reduce the fluctuation and randomness of output power, thereby ensuring stable system operation and effectively improving the system's hydrogen production efficiency.

[0202] Example 5:

[0203] The method for adjusting configuration parameters in the electro-hydrogen production process of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. This embodiment provides a detailed description of the network topology of the system for adjusting configuration parameters in the electro-hydrogen production process.

[0204] like Figure 13 As shown, the system for adjusting the configuration parameters in the electro-hydrogen production process can operate in a grid-connected state or an off-grid state.

[0205] Specifically, the network topology of the configuration parameter adjustment system in the electro-hydrogen production process when operating in a grid-connected state may include three modules: source (storage) - grid - load.

[0206] The source (storage) module may include: a wind turbine power supply module, a photovoltaic power supply module, and a battery; a converter and a transformer; the grid module includes a power grid; and the load module includes: a hydrogen production power source and an electrolyzer.

[0207] The wind turbine power supply module, the photovoltaic power supply module, and the storage battery supply the electrolyzer through the power grid via the converter and transformer and the hydrogen production power supply.

[0208] It should be noted that the network topology of the configuration parameter adjustment system in the electro-hydrogen production process when operating in an off-grid state differs from that when operating in a grid-connected state, the configuration parameter adjustment system in the electro-hydrogen production process does not pass through the power grid when operating in an off-grid state.

[0209] Bus 1 in the source (storage) module is 35kV, which is converted to bus 2 to 110kV after passing through the power grid, and then converted to bus 3 to 35kV when input to the load module.

[0210] In this embodiment, different topology configurations can be implemented for the wind-solar-storage-off-grid connection mode, and the integrated optimization model can be solved by the algorithm, providing strong support for the development of related technologies for new energy hydrogen production systems.

[0211] Example 6:

[0212] Another embodiment of this application relates to a configuration parameter adjustment device 1400 in an electro-hydrogen production process. The implementation details of the configuration parameter adjustment device 1400 in this embodiment are described below. The following implementation details are provided for ease of understanding and are not essential for implementing this solution. A schematic diagram of the configuration parameter adjustment device 1400 in the electro-hydrogen production process of this embodiment can be seen as follows: Figure 14As shown, it includes: an acquisition module 1401, a first determination module 1402, a second determination module 1403, and an adjustment module 1404.

[0213] Module 1401 is used to obtain the output power of the power supply module;

[0214] The first determining module 1402 is used to determine the input power supplied by the power supply module to the electrolytic cell via the power grid based on the output power;

[0215] The second determining module 1403 is used to determine, based on the input power, the index values ​​of the constraints used to adjust the hydrogen production of the electrolyzer and the hydrogen storage of the hydrogen storage tank during the electro-hydrogen production process; the constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank.

[0216] The adjustment module 1404 is used to adjust the configuration parameters of the electrolyzer and the hydrogen storage tank so that the adjusted hydrogen production and storage capacity meet the requirements of the constraints.

[0217] In some alternative embodiments, the hydrogen production cost of the electrolyzer is calculated using the following formula:

[0218]

[0219] Wherein, LCOH represents the hydrogen production cost of the electrolyzer during the evaluation period, and Cost represents the total hydrogen production cost. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0220] In some alternative embodiments, the hydrogen supply deficit of the electrolyzer to external equipment is constructed using the following formula:

[0221]

[0222] Among them, THD represents the hydrogen supply deficit of the electrolyzer to external equipment during the evaluation period. Let t be the required hydrogen production at time t. Let be the amount of hydrogen produced by the electrolyzer at time t. Let t be the hydrogen content in the hydrogen storage tank at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0223] In some optional embodiments, the hydrogen rejection rate of the hydrogen storage tank is constructed using the following formula:

[0224]

[0225] Wherein, DHR is the hydrogen rejection rate of the hydrogen storage tank during the assessment period. Let be the amount of hydrogen discarded from the hydrogen storage tank at time t. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

[0226] In some optional embodiments, the device 800 for adjusting the configuration parameters in the electro-hydrogen production process may further include:

[0227] The third determining module 1405 is used to determine the actual power rejection rate of the electrolyzer for the output power based on the input power.

[0228] The adjustment module 1406 is used to adjust the rated power of the electrolyzer during the electro-hydrogen production process so that the actual power curtailment rate reaches the target power curtailment rate.

[0229] In some alternative embodiments, the power waste rate of the electrolyzer with respect to output power is constructed using the following formula:

[0230]

[0231] Wherein, EDP represents the rate of power wastage by the electrolyzer for output power during the evaluation period. Let be the output power of the power supply module at time t. The power conversion is the power supplied from the power supply module to the electrolytic cell via the power grid, where t = 1, 2, 3, ..., N, and N is the total number of moments in the evaluation period.

[0232] In some optional embodiments, the method further includes: constructing an integrated optimization model.

[0233] minF(X)=[LCOH(X), THD(X), DHR(X), EDR(X)]

[0234] Where X is the decision variable, including: Q is the rated power of the electrolytic cell. b N is the rated power of the battery. ht The number of hydrogen storage tanks; LCOH(X), THD(X), DHR(X), and EDR(X) are, in order, the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen rejection rate of the hydrogen rejection tank, and the power rejection rate of the electrolyzer for its output power.

[0235] The integrated optimization model is based on the optimization terms corresponding to the decision variables, including the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen waste rate of the hydrogen waste tank, and the power waste rate of the electrolyzer for output power.

[0236] The integrated optimization model is used to comprehensively optimize each optimization item to obtain the optimal configuration parameters for adjusting the electrolyzer and hydrogen storage tank, as well as the optimal configuration value of the rated power.

[0237] In this embodiment, the device for adjusting the configuration parameters during the electro-hydrogen production process can reduce the fluctuation and randomness of the output power, thereby ensuring stable system operation and effectively improving the system's hydrogen production efficiency.

[0238] It should be noted that the device for adjusting the configuration parameters in the electro-hydrogen production process is the same as the device for adjusting the configuration parameters in the electro-hydrogen production process described above. All implementations of the method for adjusting the configuration parameters in the electro-hydrogen production process described above are applicable to the embodiment of the device for adjusting the configuration parameters in the electro-hydrogen production process and can achieve the same effect.

[0239] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0240] Example 7:

[0241] Another embodiment of this application relates to an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a method for adjusting configuration parameters in the electro-hydrogen production process of the above embodiments.

[0242] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0243] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0244] Example 8:

[0245] Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the method embodiments described above.

[0246] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0247] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A method for adjusting configuration parameters in an electro-hydrogen production process, characterized in that, include: Obtain the output power of the power supply module; Based on the output power, the input power supplied by the power supply module to the electrolytic cell via the power grid is determined; Based on the input power, determine the index values ​​of the constraints used to adjust the hydrogen production rate of the electrolyzer and the hydrogen storage capacity of the hydrogen storage tank during the electro-hydrogen production process; the constraints include at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank. Adjust the configuration parameters of the electrolyzer and the hydrogen storage tank so that the adjusted hydrogen production and hydrogen storage meet the requirements of the constraints.

2. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 1, characterized in that, The hydrogen production cost of the electrolyzer is calculated using the following formula: Wherein, LCOH represents the hydrogen production cost of the electrolyzer during the evaluation period, and Cost represents the total hydrogen production cost. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

3. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 1, characterized in that, The hydrogen supply deficit of the electrolyzer to external equipment is constructed using the following formula: Wherein, THD represents the hydrogen supply deficit of the electrolyzer to external equipment during the evaluation period. Let t be the required hydrogen production at time t. Let be the amount of hydrogen produced by the electrolyzer at time t. Let t be the hydrogen content in the hydrogen storage tank at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

4. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 1, characterized in that, The hydrogen rejection rate of the hydrogen storage tank is calculated using the following formula: Wherein, DHR is the hydrogen rejection rate of the hydrogen storage tank during the assessment period. Let t be the amount of hydrogen discarded from the hydrogen storage tank at time t. Let t be the amount of hydrogen produced by the electrolyzer at time t, where t = 1, 2, 3, ..., N, and N is the total number of times in the evaluation period.

5. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 1, characterized in that, Also includes: Based on the input power, determine the actual power waste rate of the electrolytic cell relative to the output power; Adjust the rated power of the electrolyzer during the electro-hydrogen production process so that the actual power waste rate reaches the target power waste rate.

6. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 1, characterized in that, The power rejection rate of the electrolytic cell for the output power is constructed using the following formula: Wherein, EDP is the power wastage rate of the electrolytic cell for the output power during the evaluation period. Let be the output power of the power supply module at time t. The conversion power is the power supplied from the power supply module to the electrolytic cell via the power grid, where t = 1, 2, 3, ..., N, and N is the total number of moments in the evaluation period.

7. The method for adjusting configuration parameters in the electro-hydrogen production process according to claim 6, characterized in that, Also includes: Construct an integrated optimization model: minF(X)=[LCOH(X), THD(X), DHR(X), EDR(X)] Where X is the decision variable, including: Q is the rated power of the electrolytic cell. b N is the rated power of the battery. ht The number of hydrogen storage tanks; LCOH(X), THD(X), DHR(X), and EDR(X) are, in order, the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer for external equipment, the hydrogen rejection rate of the hydrogen rejection tank, and the power rejection rate of the electrolyzer for the output power. The integrated optimization model is based on the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, the hydrogen waste rate of the hydrogen waste tank, and the power waste rate of the electrolyzer for the output power, and the optimization terms corresponding to the decision variables. The integrated optimization model is used to comprehensively optimize each of the optimization items to obtain the optimal configuration parameters and the optimal configuration value of the rated power for adjusting the electrolyzer and the hydrogen storage tank.

8. A device for adjusting configuration parameters in an electro-hydrogen production process, characterized in that, include: The acquisition module is used to acquire the output power of the power supply module; The first determining module is used to determine the input power supplied by the power supply module to the electrolytic cell via the power grid based on the output power; The second determining module is used to determine, based on the input power, the index value of the constraint item used to adjust the hydrogen production of the electrolyzer and the hydrogen storage of the hydrogen storage tank during the electro-hydrogen production process; the constraint item includes at least one of the following: the hydrogen production cost of the electrolyzer, the hydrogen supply deficit of the electrolyzer to external equipment, and the hydrogen rejection rate of the hydrogen storage tank. An adjustment module is used to adjust the configuration parameters of the electrolyzer and the hydrogen storage tank so that the adjusted hydrogen production and hydrogen storage meet the requirements of the constraints.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed, enable the at least one processor to perform a method for adjusting configuration parameters in the electrohydrogen production process as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for adjusting the configuration parameters in the electro-hydrogen production process according to any one of claims 1 to 7.