A method for allocating power of a hydrogen production system to extend the life cycle of a hydrogen production device

Abstract

The present invention belongs to the field of electric power, and discloses a method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device; the new energy hydrogen production system is composed of photovoltaic power generation, wind power generation, energy storage unit, and hydrogen production device, and is connected to the power grid; the original hydrogen production curve is obtained according to the relationship between the hydrogen production power and the hydrogen production amount of the hydrogen production device when it leaves the factory; if the hydrogen production curve can be updated according to the wear of the equipment, the new hydrogen production curve is used to calculate the hydrogen production power of a single hydrogen production device as the allocated power; otherwise, the original hydrogen production curve is used to calculate the hydrogen production power of a single hydrogen production device, and then the calculated hydrogen production power is reversely matched with the wear of the hydrogen production device, and the more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated. When allocating power to the hydrogen production device, the present invention allocates the minimum hydrogen production power to the equipment with the most serious wear, thereby extending the life cycle of the hydrogen production device. Since each hydrogen production device has an independent hydrogen production curve, the hydrogen production device can be replaced freely.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a power distribution method for a hydrogen production system for extending the life cycle of a hydrogen production device. Background Art

[0002] In recent years, traditional fossil energy such as coal and oil has become increasingly scarce due to over-exploitation. At the same time, oil and gas combustion products such as carbon dioxide have also had a very serious impact on the environment. Global warming, greenhouse effect and other issues can no longer be ignored. Therefore, focusing on the development of clean energy, actively developing renewable energy, reducing the consumption of fossil energy, and gradually reducing the proportion of thermal power generation have become important development goals of my country's new energy strategy. New energy composed of wind energy, solar energy, etc. has the characteristics of rich resources, clean and environmentally friendly, and is the best alternative to traditional fossil energy.

[0003] Although photovoltaic power generation and wind power generation are clean and environmentally friendly, they have higher uncertainty than traditional power generation forms. Wind power generation uses wind energy, and the fluctuation of power generation varies with the change of wind speed. Photovoltaic power generation uses solar energy, and the fluctuation of power generation varies with the change of light. The uncontrollability of wind speed and light makes the output power of wind power and photovoltaic power fluctuate greatly, affecting the stability of grid voltage and frequency, affecting the quality of grid power, and even causing more serious grid safety and stability problems. Therefore, there is the phenomenon of abandoning wind and solar power.

[0004] The new energy hydrogen production system is one of the preferred solutions for making full use of wind and solar resources. New energy hydrogen production technology converts new energy into electrical energy through modules such as solar cells and wind turbines, converts electrical energy into hydrogen through hydrogen production devices, and transports hydrogen to hydrogen application terminals to complete the conversion from renewable energy to hydrogen energy. The existing research on hydrogen production devices is mainly based on single hydrogen production devices, but in actual operation, hydrogen production devices are usually composed of multiple groups of equipment. The energy management strategy based on multiple hydrogen production devices is more in line with actual needs. There are the following common problems in the research on hydrogen production devices:

[0005] 1) If multiple electrolyzers are considered as a whole without considering the specific wear conditions, the wear of the equipment will become increasingly serious. Even if the power is allocated according to a certain ratio, it will conflict with the system goals and is not the optimal working state.

[0006] 2) The power of a single hydrogen production device in a new energy system is evenly divided by the total power of the hydrogen production device. The actual relationship between the power of each hydrogen production device and the hydrogen production is inconsistent, and the calculation result has a large error. Summary of the invention

[0007] The present invention provides a hydrogen production system power allocation method for extending the life cycle of a hydrogen production device, which is used for reasonably allocating hydrogen production power and extending the life cycle of the equipment.

[0008] In order to solve the above technical problems, the specific technical solutions adopted by the present invention are as follows:

[0009] In a first aspect, the present invention provides a method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device. The original hydrogen production curve of each hydrogen production device is obtained according to the relationship between the hydrogen production power and the hydrogen production amount when the hydrogen production device leaves the factory. The hydrogen production power of a single hydrogen production device is calculated using the original hydrogen production curve, and then the calculated hydrogen production power of each hydrogen production device is reversely matched with the wear condition of the hydrogen production device. A hydrogen production device with a more severe wear is allocated a smaller hydrogen production power, thereby achieving the purpose of extending the life cycle of the hydrogen production device.

[0010] Furthermore, the power allocation method comprises the following specific steps:

[0011] Step 1: Determine the mathematical model of each module in the system according to the composition of the new energy hydrogen production system;

[0012] Step 2: Determine the system constraints based on the actual operation of the new energy hydrogen production system;

[0013] Step 3: Determine the system objective function based on the expectations of the hydrogen production system;

[0014] Step 4: Based on the relationship between the hydrogen production power and the hydrogen production amount of the hydrogen production device when it leaves the factory, the original hydrogen production curve of each hydrogen production device is obtained; if the hydrogen production curve can be updated according to the wear condition of the hydrogen production device, step 5 is executed; if the hydrogen production curve cannot be updated according to the wear condition of the hydrogen production device, step 6 is executed;

[0015] Step 5: Combine the mathematical models of each module obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the new hydrogen production curve updated according to the wear condition of the hydrogen production device, calculate the power distribution of multiple hydrogen production devices, and use the calculation result as the final distribution result to achieve the purpose of extending the life cycle of the hydrogen production device;

[0016] Step 6: Combine the mathematical models of each module obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the original hydrogen production curve to calculate the power distribution of multiple hydrogen production devices, sort the calculation results from low to high, and sort the wear degree of the hydrogen production devices from high to low. The two are reversely matched. The more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated, so as to achieve the purpose of extending the life cycle of the hydrogen production device.

[0017] Furthermore, in the original hydrogen production curve, the relationship between hydrogen production power and hydrogen production is as follows:

[0018] V hp =-11.24P hp 2 +232.7P hp +8.89

[0019] Where V hp is the amount of hydrogen produced, P hp is the hydrogen production power.

[0020] Further, the mathematical model described in step 1 includes a mathematical model of a photovoltaic power generation module, a mathematical model of a wind power generation module, and a mathematical model of an energy storage unit module;

[0021] The mathematical model of the photovoltaic power generation module is as follows:

[0022]

[0023] In the formula, I S is the diode saturation current; V oc is the terminal voltage; U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; P ph is the photovoltaic output, in kW; U is the photovoltaic array output voltage;

[0024] The mathematical model of the wind power generation module is as follows:

[0025]

[0026] Where, λ is the tip speed ratio; i is the intermediate variable, θ is the pitch angle; ρ is the air density of the environment; R is the radius of the wind blade; v is the actual wind speed at the input site; C p P is the coefficient of wind energy utilization of the system; wi is the wind power output, in kW.

[0027] The energy storage unit module mathematical model is as follows:

[0028]

[0029] Where SOC is the state of charge of the energy storage battery, in %; P ba is the charge and discharge power, in kW; C ba Indicates the capacity of the energy storage battery in kWh; V ba is the charge and discharge voltage in V; m is the system energy management hours.

[0030] Furthermore, the constraint condition described in step 2 is expressed as:

[0031]

[0032]

[0033]

[0034]

[0035]

[0036]

[0037] Where P hp is the operating power of the hydrogen production device, in kW; P ba P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. pg is the power of the power grid, a positive value indicates electricity consumption, a negative value indicates electricity sales, the unit is kW; The upper limit of photovoltaic power generation output, in kW; The upper limit of wind power output, in kW; is the lower limit of the power grid, in kW; is the upper limit of the power grid, in kW; The upper limit of the energy storage battery power, in kW; It is the maximum power of the hydrogen production device, in kW.

[0038] Furthermore, the system objectives in step 3 include the new energy consumption rate, economic benefit ratio and hydrogen production rate, and the calculation formula is as follows:

[0039]

[0040]

[0041]

[0042] In the formula, C is the new energy consumption rate, in %; E is the economic benefit ratio, in %; V hp is the amount of hydrogen produced, in Nm 3 ; C h The unit price of hydrogen sold is RMB / Nm 3 ; C e is the electricity price, in yuan / kWh; A is the hydrogen production rate, in %.

[0043] Furthermore, in step 5, the intensity Pareto evolutionary algorithm is used to solve the power allocation result of the hydrogen production device.

[0044] In a second aspect, the present invention provides a power distribution device for a hydrogen production system for extending the life cycle of a hydrogen production device, comprising:

[0045] A hydrogen production curve acquisition module, which is used to obtain the hydrogen production curve of each hydrogen production device according to the relationship between the hydrogen production power and the hydrogen production amount when the hydrogen production device leaves the factory;

[0046] A hydrogen production power calculation module, which is used to calculate the hydrogen production power of a single hydrogen production device using a hydrogen production curve;

[0047] The reverse matching module is used to reversely match the calculated hydrogen production power of each hydrogen production device with the wear condition of the hydrogen production device. The more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated.

[0048] Furthermore, it also includes:

[0049] The mathematical model acquisition module is used to determine the mathematical model of each module in the system according to the composition of the new energy hydrogen production system; determine the system constraints according to the actual operation of the new energy hydrogen production system; and determine the system objective function according to the expectations of the hydrogen production system;

[0050] The judgment module is used to update the hydrogen production curve according to the wear condition of the hydrogen production device. If the update can be completed, the hydrogen production power calculation module is executed using the updated new hydrogen production curve, and the calculation result is directly used as the final allocation result; if the update cannot be completed, the hydrogen production power calculation module and the reverse matching module are executed.

[0051] In a third aspect, the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, is used to implement the above-mentioned method for allocating power in a hydrogen production system for extending the life cycle of a hydrogen production device.

[0052] Beneficial effects of the invention: The power allocation method of the new energy hydrogen production system of the invention takes a single hydrogen production device as the solution object, and can directly solve the optimal solution for a single device, which can reduce the error compared with calculating the total power of hydrogen production; each hydrogen production device has an independent hydrogen production curve, and the equipment can be replaced freely. The use of the power allocation method of the new energy hydrogen production system of the invention can extend the life cycle of the hydrogen production device. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is a structural schematic diagram of a new energy hydrogen production system shown in this embodiment;

[0054] Figure 2 is a schematic diagram of a flow chart of a power allocation method according to this embodiment;

[0055] Figure 3 It is the power curve of photovoltaic power generation and wind power generation;

[0056] Figure 4 It is the power curve of hydrogen production device and power grid;

[0057] Figure 5 It is the power curve of a single hydrogen production unit;

[0058] Figure 6 This is the power and wear matching diagram of the hydrogen production device at 9 moments;

[0059] Figure 7 This is a graph of new energy consumption rate. DETAILED DESCRIPTION

[0060] In order to better understand the purpose, structure and function of the present invention, the power allocation method of a hydrogen production system for extending the life cycle of a hydrogen production device of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0061] like Figure 1 As shown, the new energy hydrogen production system adopted by the present invention is composed of a photovoltaic power generation module, a wind power generation module, an energy storage unit module, and a hydrogen production device, all of which are connected to the power grid; the photovoltaic power generation module calculates the power generation based on the light and temperature weather data; the wind power generation module calculates the power generation based on the wind weather data; the energy storage unit module stores and releases electric energy based on system requirements; the hydrogen production device produces hydrogen based on the system allocated power. The power allocation method of the new energy hydrogen production system provided by the present invention is mainly to calculate the power of a single hydrogen production device and reversely match it with the equipment wear condition to achieve the extension of the life cycle of the hydrogen production device; if the equipment wear condition can be reflected by updating the hydrogen production curve, the power of a single hydrogen production device is directly calculated.

[0062] The power allocation method block diagram is as follows: Figure 2 As shown, specifically:

[0063] Step 1: Determine the mathematical model of each module in the system based on the composition of the new energy hydrogen production system.

[0064] Among them, the mathematical model of photovoltaic power generation module is as follows:

[0065]

[0066] In the formula, I S is the diode saturation current; V oc is the terminal voltage; U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; P ph is the photovoltaic output in kW; U is the output voltage and current of the photovoltaic array.

[0067] The mathematical model of the wind power generation module is as follows:

[0068]

[0069] Where, λ is the tip speed ratio; i is the intermediate variable, θ is the pitch angle; ρ is the air density of the environment; R is the radius of the wind blade; v is the actual wind speed at the input site; C p P is the coefficient of wind energy utilization of the system; wiis the wind power output, in kW.

[0070] The mathematical model of the energy storage unit module is as follows:

[0071]

[0072] Where SOC is the state of charge of the energy storage battery, in %; P ba is the charge and discharge power, in kW; C ba Indicates the capacity of the energy storage battery in kWh; V ba is the charge and discharge voltage in V; m is the system energy management hours.

[0073] Step 2: Determine the system constraints based on the actual operation of the hydrogen production system.

[0074] Considering the system power balance, the sum of the electrolyzer power, energy storage battery charging and discharging, and grid power does not exceed the sum of wind power generation and photovoltaic power generation, that is:

[0075]

[0076] Where P hp is the operating power of the hydrogen production device, in kW; P ba P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. pg It is the power of the power grid. A positive value indicates that electricity is taken in, and a negative value indicates that electricity is sold. The unit is kW.

[0077] Considering the constraints of photovoltaic power generation, the photovoltaic power generation module has an output upper limit based on the system configuration, namely:

[0078]

[0079] In the formula, It is the upper limit of photovoltaic power generation output, in kW.

[0080] Considering the constraints of wind power generation, the wind power generation module has an output upper limit based on the system configuration, namely:

[0081]

[0082] In the formula, It is the upper limit of wind power output, in kW.

[0083] Considering the power constraints of the power grid, the power grid has upper and lower limits according to the system composition, namely:

[0084]

[0085] In the formula, is the lower limit of the power grid, in kW; The upper limit of grid power, in kW.

[0086] Considering the power constraints of energy storage batteries, the energy storage batteries have upper and lower power limits for charging and discharging according to the system configuration, namely:

[0087]

[0088] In the formula, It is the upper limit of energy storage battery power, in kW.

[0089] Considering the operating power constraints of the hydrogen production device, the hydrogen production device has a safe power limit based on its operating characteristics, namely:

[0090]

[0091] In the formula, It is the maximum power of the hydrogen production device, in kW.

[0092] Step 3: Determine the system objective function based on the expectations of the hydrogen production system.

[0093] In this embodiment, the objective function includes the new energy consumption rate, the proportion of economic benefits and the hydrogen production rate; wherein the new energy consumption rate is the proportion of wind power generation and photovoltaic power generation consumed by the system to the total power generation, and the calculation formula is as follows:

[0094]

[0095] Where, C is the consumption rate, the unit is %.

[0096] The economic benefit ratio is the ratio of the system's hydrogen sales revenue to the maximum revenue, and the calculation formula is as follows:

[0097]

[0098] Where, E is the economic benefit ratio, unit is %; V hp is the amount of hydrogen produced, in Nm 3 ; C h The unit price of hydrogen sold is RMB / Nm 3 ; C e is the electricity price, in Yuan / kWh.

[0099] The hydrogen production rate is the ratio of the system's hydrogen production to the maximum hydrogen production. The calculation formula is as follows:

[0100]

[0101] Wherein, A is the hydrogen production rate, in %.

[0102] Step 4: According to the operation status of the hydrogen production system, the original hydrogen production curve is obtained from the relationship between hydrogen production power and hydrogen production amount.

[0103] The relationship between the hydrogen production power and the hydrogen production amount is determined when the hydrogen production device leaves the factory. In this embodiment, the relationship between the two conforms to the following formula:

[0104] V hp =-11.24P hp 2 +232.7P hp +8.89

[0105] Where V hp is the amount of hydrogen produced, P hp is the hydrogen production power.

[0106] As the hydrogen production device wears, the relationship between hydrogen production power and hydrogen production will change accordingly. If the new relationship between hydrogen production power and hydrogen production can be determined based on the equipment wear and tear and a new hydrogen production curve is obtained, then execute step 5; if it cannot be determined, then execute step 6.

[0107] Step 5: Combine the module models obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the new hydrogen production curve obtained in step 4 to calculate the power distribution of multiple hydrogen production devices. According to the relationship between the new hydrogen production power and the hydrogen production amount, the SPEA2 algorithm is used to solve the power distribution result P of the hydrogen production device. hp (1) P hp (2), ..., P hp (n); where n represents the number of hydrogen production devices. Since the new hydrogen production curve takes the wear of the equipment into consideration, when allocating the power of the hydrogen production device, the equipment with the most serious wear is allocated the minimum hydrogen production power, thereby achieving the purpose of extending the overall life cycle of the equipment.

[0108] Step 6: Combine the module models obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the original hydrogen production curve obtained in step 4 to calculate the power allocation of the hydrogen production device. According to the relationship between the original hydrogen production power and the hydrogen production amount, the SPEA2 algorithm is used to solve the power allocation result P of the hydrogen production device. hp (1) P hp (2), ..., P hp (n), and sort the power allocation results of the hydrogen production device from low to high.

[0109] P hp (i) = sort(P hp ) i=1,2,…,n

[0110] The data is reverse matched based on power ranking and device wear.

[0111] In this step, the equipment is sorted from high to low according to its wear condition, and the power allocation result is reversely matched. The equipment with the most serious wear is allocated the minimum hydrogen production power to extend the overall life cycle of the equipment.

[0112] W hp (i) = P hp (i) i=1,2,…,n

[0113] Where W hp The wear degree of hydrogen production equipment is arranged from high to low.

[0114] In order to verify the effectiveness of the above-mentioned power allocation method for the new energy hydrogen production system in extending the life cycle of the hydrogen production device, in a specific implementation, the new energy hydrogen production system is as follows: Figure 1 As shown in the figure, the installed capacity of the photovoltaic power generation module is 10MW, the installed capacity of the wind power generation module is 25MW, and 4 electrolyzers with an installed capacity of 2.5MW are set. The degree of wear is arranged in arithmetic progression from heavy to light, and the state of charge of the energy storage battery takes an initial value of 20%. The actual 24-hour meteorological data of a certain area is used as the basis, including wind, light, and temperature information. The photovoltaic output and wind power output calculated by the hydrogen production system based on the actual meteorological data are as follows: Figure 3 After introducing the power allocation method to extend the life cycle of the hydrogen production device, the hydrogen production power and grid power solved by the SPEA2 algorithm are shown as follows: Figure 4 As shown in the figure. The power distribution of a single hydrogen production device is arranged in ascending order, as shown in the figure. Figure 5 As shown, at time 9, the power distribution and wear condition are inversely matched, as shown in Figure 6 As shown, at the same time, the photovoltaic power generation and wind power generation consumption rate reached 100%, as shown in Figure 7 As shown, the effectiveness of the method proposed in the present invention is proved.

[0115] In this embodiment, a power distribution device for a hydrogen production system is provided to extend the life cycle of the hydrogen production device, and the device is used to implement the above embodiment. The terms "module", "unit", etc. used below can implement a combination of software and / or hardware for a predetermined function. Although the system described in the following embodiments is preferably implemented in software, it is also possible to implement hardware, or a combination of software and hardware.

[0116] The present embodiment provides a power distribution device for a hydrogen production system for extending the life cycle of a hydrogen production device, comprising:

[0117] A hydrogen production curve acquisition module, which is used to obtain the hydrogen production curve of each hydrogen production device according to the relationship between the hydrogen production power and the hydrogen production amount when the hydrogen production device leaves the factory;

[0118] A hydrogen production power calculation module, which is used to calculate the hydrogen production power of a single hydrogen production device using a hydrogen production curve;

[0119] The reverse matching module is used to reversely match the calculated hydrogen production power of each hydrogen production device with the wear condition of the hydrogen production device. The more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated.

[0120] In a specific implementation of the present invention, it also includes:

[0121] The mathematical model acquisition module is used to determine the mathematical model of each module in the system according to the composition of the new energy hydrogen production system; determine the system constraints according to the actual operation of the new energy hydrogen production system; and determine the system objective function according to the expectations of the hydrogen production system;

[0122] The judgment module is used to update the hydrogen production curve according to the wear condition of the hydrogen production device. If the update can be completed, the hydrogen production power calculation module is executed using the updated new hydrogen production curve, and the calculation result is directly used as the final allocation result; if the update cannot be completed, the hydrogen production power calculation module and the reverse matching module are executed.

[0123] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment, and the implementation methods of the remaining modules are not repeated here. The device embodiment described above is only illustrative, wherein the modules described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. A person of ordinary skill in the art can understand and implement it without paying creative labor.

[0124] The device embodiments of the present invention can be applied to any device with data processing capabilities, and the device with data processing capabilities can be a device or apparatus such as a computer. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, the processor of any device with data processing capabilities reads the corresponding computer program instructions in the non-volatile memory into the memory and runs them.

[0125] An embodiment of the present invention further provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, is used to implement the above-mentioned method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device.

[0126] The computer-readable storage medium may be an internal storage unit of any device with data processing capability described in any of the aforementioned embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device of any device with data processing capability, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc., equipped on the device.

[0127] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application belong to the scope protected by the present invention.

Claims

1. A method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device, characterized in that: According to the relationship between the hydrogen production power and the hydrogen production volume of the hydrogen production device when it leaves the factory, the original hydrogen production curve of each hydrogen production device is obtained; the hydrogen production power of a single hydrogen production device is calculated using the original hydrogen production curve, and then the calculated hydrogen production power of each hydrogen production device is reversely matched with the wear condition of the hydrogen production device. The more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated; The power allocation method comprises the following specific steps: Step 1: Determine the mathematical model of each module in the system according to the composition of the new energy hydrogen production system; The mathematical model includes a photovoltaic power generation module mathematical model, a wind power generation module mathematical model, and an energy storage unit module mathematical model; The mathematical model of the photovoltaic power generation module is as follows: In the formula, I S is the diode saturation current; V oc is the terminal voltage; U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; P ph is the photovoltaic output, in kW; U is the photovoltaic array output voltage; The mathematical model of the wind power generation module is as follows: Where, λ is the tip speed ratio; i is the intermediate variable, θ is the pitch angle; ρ is the air density of the environment; R is the radius of the wind blade; v is the actual wind speed at the input site; P wi is the wind power output, in kW; The energy storage unit module mathematical model is as follows: Where SOC is the state of charge of the energy storage battery, in %; P ba is the charge and discharge power, in kW; C ba Indicates the capacity of the energy storage battery in kWh; V ba is the charge and discharge voltage, in V; m is the system energy management hours; Step 2: Determine the system constraints based on the actual operation of the new energy hydrogen production system; The constraints are expressed as: Where P hp is the operating power of the hydrogen production device, in kW; P ba P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. pg is the power of the power grid, a positive value indicates electricity consumption, a negative value indicates electricity sales, the unit is kW; The upper limit of photovoltaic power generation output, in kW; The upper limit of wind power output, in kW; is the lower limit of the power grid, in kW; is the upper limit of the power grid, in kW; The upper limit of the energy storage battery power, in kW; is the maximum power of the hydrogen production device, in kW; Step 3: Determine the system objective function based on the expectations of the hydrogen production system; The system objectives include new energy consumption rate, economic benefit ratio and hydrogen production rate, and the calculation formula is as follows: In the formula, C is the new energy consumption rate, in %; E is the proportion of economic benefits, in %; V hp is the amount of hydrogen produced, in Nm 3 ; C h The unit price of hydrogen sold is RMB / Nm 3 ; C e is the electricity price, in yuan / kWh; A is the hydrogen production rate, in %; Step 4: Based on the relationship between the hydrogen production power and the hydrogen production amount of the hydrogen production device when it leaves the factory, the original hydrogen production curve of each hydrogen production device is obtained; if the hydrogen production curve can be updated according to the wear condition of the hydrogen production device, step 5 is executed; if the hydrogen production curve cannot be updated according to the wear condition of the hydrogen production device, step 6 is executed; Step 5: Combine the mathematical models of each module obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the new hydrogen production curve updated according to the wear condition of the hydrogen production device, calculate the power distribution of multiple hydrogen production devices, and use the calculation result as the final distribution result; Step 6: Combine the mathematical models of each module obtained in step 1, the constraints obtained in step 2, the objective function obtained in step 3, and the original hydrogen production curve to calculate the power distribution of multiple hydrogen production devices, sort the calculation results from low to high, and sort the wear degree of the hydrogen production devices from high to low, and reversely match the two.

2. A method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device according to claim 1, characterized in that: In the original hydrogen production curve, the relationship between hydrogen production power and hydrogen production is as follows: IN hp =-11.24P hp 2 +232.7P hp +8.89 Where V hp is the amount of hydrogen produced, P hp is the hydrogen production power.

3. A method for allocating power of a hydrogen production system for extending the life cycle of a hydrogen production device according to claim 1, characterized in that: In step 5, the intensity Pareto evolutionary algorithm is used to solve the power allocation result of the hydrogen production device.

4. A device for implementing the power allocation method of a hydrogen production system for extending the life cycle of a hydrogen production device as claimed in claim 1, characterized in that: include: A hydrogen production curve acquisition module, which is used to obtain the hydrogen production curve of each hydrogen production device according to the relationship between the hydrogen production power and the hydrogen production amount when the hydrogen production device leaves the factory; A hydrogen production power calculation module, which is used to calculate the hydrogen production power of a single hydrogen production device using a hydrogen production curve; The reverse matching module is used to reversely match the calculated hydrogen production power of each hydrogen production device with the wear condition of the hydrogen production device. The more serious the wear of the hydrogen production device, the smaller the hydrogen production power is allocated.

5. A power distribution device for a hydrogen production system for extending the life cycle of a hydrogen production device according to claim 4, characterized in that: Also includes: The mathematical model acquisition module is used to determine the mathematical model of each module in the system according to the composition of the new energy hydrogen production system; determine the system constraints according to the actual operation of the new energy hydrogen production system; and determine the system objective function according to the expectations of the hydrogen production system; A judgment module is used to update the hydrogen production curve according to the wear condition of the hydrogen production device. If the update can be completed, the hydrogen production power calculation module is executed using the updated new hydrogen production curve, and the calculation result is directly used as the final allocation result; If the update cannot be completed, the hydrogen production power calculation module and the reverse matching module are executed.

6. A computer-readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by a processor, it is used to implement a power allocation method for a hydrogen production system for extending the life cycle of a hydrogen production device as described in any one of claims 1-3.

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