Light hydrogen storage hydrogen production system control method, electronic device and storage medium

Abstract

The invention discloses a hydrogen production system control method for optical hydrogen storage, an electronic device and a storage medium, a hydrogen production system comprises a photovoltaic module, an energy storage module, a hydrogen production module and an energy management module, and the control method comprises the following steps: obtaining power generation prediction data which can be predicted by the photovoltaic module within a first preset time period, the charge related data of the energy storage module and the state data of the hydrogen production module are acquired; according to the power generation prediction data, the charge related data and the state data, predicting charging and discharging power data of the energy storage module and hydrogen production power data of the hydrogen production module in a second preset time period; and controlling the energy storage module to operate according to the charging and discharging power data and the hydrogen production module to operate according to the hydrogen production power data. According to the technical scheme provided by the invention, the technical problems that photovoltaic off-grid hydrogen production in the prior art is influenced by photovoltaic energy fluctuation, an electrolytic cell is frequently started and stopped, the stability of a hydrogen production system is poor, and the safety risk of the hydrogen production system is increased can be solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of optical hydrogen storage, in particular to a hydrogen production system control method for optical hydrogen storage, an electronic device and a storage medium. BACKGROUND

[0002] Photovoltaic off-grid hydrogen production is a technology for directly producing hydrogen using solar power generation. First, solar power generation is used, and then water electrolysis is used to produce hydrogen.

[0003] However, photovoltaic off-grid hydrogen production is affected by photovoltaic energy fluctuations, and the generated electric energy also has fluctuations, which will cause the electrolytic tank to frequently start and stop during water electrolysis to produce hydrogen, the hydrogen production system has poor stability, and the safety risk of the hydrogen production system is increased. SUMMARY

[0004] The present application provides a hydrogen production system control method for optical hydrogen storage, an electronic device and a storage medium, which aims to effectively solve the technical problems in the prior art that photovoltaic off-grid hydrogen production is affected by photovoltaic energy fluctuations, the electrolytic tank frequently starts and stops, the hydrogen production system has poor stability, and the safety risk of the hydrogen production system is increased.

[0005] According to a first aspect of the present application, the present application provides a hydrogen production system control method for optical hydrogen storage, the hydrogen production system comprising a photovoltaic module, an energy storage module, a hydrogen production module and an energy management module, the control method being applied to the energy management module; the control method comprises: obtaining predicted power generation data of the photovoltaic module that can be generated in a first predetermined period, and state data of the energy storage module and the hydrogen production module; predicting the charge and discharge power data of the energy storage module and the hydrogen production power data of the hydrogen production module in a second predetermined period according to the power generation prediction data, the state data and the charge related data; controlling the energy storage module to operate at the charge and discharge power data and the hydrogen production module to operate at the hydrogen production power data.

[0006] By predicting the hydrogen production power data of the hydrogen production module in the second period, the present application can predict the required electric energy for hydrogen production in the second period, so as to reduce the hydrogen production demand data in the case that the power generation prediction data of the photovoltaic module is insufficient to meet the required electric energy for hydrogen production in the second period, or increase the hydrogen production demand data in the case that the power generation prediction data of the photovoltaic module exceeds the required electric energy for hydrogen production in the second period.

[0007] Therefore, the present application can adjust the required electric energy for hydrogen production by real-time adjustment of the hydrogen production demand data, thereby reducing the influence of photovoltaic energy fluctuations on photovoltaic off-grid hydrogen production, reducing the probability of electrolytic tank start and stop during water electrolysis to produce hydrogen, improving the stability of the hydrogen production system, and reducing the safety risk of the hydrogen production system.

[0008] In addition, the energy storage module can charge and discharge the electricity generated by the photovoltaic module. In the case that the power generation prediction data of the photovoltaic module is insufficient to meet the required power for hydrogen production in the second period, the energy storage module can discharge to a certain extent to supplement the required power for hydrogen production. In the case that the power generation prediction data of the photovoltaic module exceeds the required power for hydrogen production in the second period, the energy storage module can charge to provide the electricity for hydrogen production when the electricity generated by the photovoltaic module is less, thereby further reducing the fluctuation of the power in the hydrogen production process, further reducing the probability of starting and stopping the electrolytic tank in the water electrolysis hydrogen production, improving the stability of the hydrogen production system, and reducing the safety risk of the hydrogen production system.

[0009] Further, the method further includes: obtaining a target model of the hydrogen production system, the target model taking minimizing the energy consumption of the hydrogen production system and maximizing the consumption rate of the power generation prediction data as a target; obtaining constraint data of the target model, the constraint data including at least one of charge data constraint, charging and discharging power constraint, hydrogen production power constraint, and power balance constraint; and predicting the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module in the second preset period according to the power generation prediction data, the charge-related data, the state data, the target model, and the constraint data.

[0010] The target model is used to minimize the energy consumption of the hydrogen production system and maximize the consumption rate of the power generation prediction data in the hydrogen production process, so that the charging and discharging power data of the energy storage module in the second preset period calculated by the target model can maximize the consumption rate of the power generation prediction data and minimize the energy consumption of the hydrogen production system, maximize the use of the electricity generated by the photovoltaic module, and minimize the hydrogen production power data of the hydrogen production module.

[0011] In addition, the constraint data is used to constrain the target model, so that the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module calculated by the target model are within the constraint range, thereby improving the credibility of the charging and discharging power data and the hydrogen production power data, reducing the operation cost of the system, and improving the utilization efficiency of the renewable energy.

[0012] Furthermore, obtaining the target model of the hydrogen production system includes: obtaining the energy storage charging and discharging loss coefficient of the energy storage module, the charging power and discharging power of the energy storage module, the equivalent cost data of the unit electrical energy consumed by the hydrogen production module, the hydrogen production power of the hydrogen production module, and the power wasted by the photovoltaic module; and determining the target model based on the loss coefficient, the charging power and discharging power, the equivalent cost data, the hydrogen production power, and the power wasted.

[0013] This application can use a target model determined by loss coefficient, charging power and discharging power, equivalent cost data, hydrogen production power, and the abandoned power to predict the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within a second preset time period.

[0014] Further, obtaining the constraint data of the target model includes: obtaining the charging power and discharging power of the energy storage module, the rated energy storage capacity, the current state of charge data, the minimum charge data, and the maximum charge data; and determining the charge data constraints based on the charging power and discharging power, the rated energy storage capacity, the current state of charge data, the minimum charge data, and the maximum charge data. And / or, obtain the maximum charging power and maximum discharging power of the energy storage module; determine the charging and discharging power constraints based on the maximum charging power and maximum discharging power; And / or, obtain the maximum and minimum hydrogen production power of the hydrogen production module; determine the hydrogen production power constraint based on the maximum and minimum hydrogen production power; And / or, obtain the load power of the hydrogen production system, the power curtailment of the photovoltaic module, the charging power of the energy storage module, the hydrogen production power of the hydrogen production module, and the power generation prediction data generated by the photovoltaic module; determine the power balance constraint based on the load power, the power curtailment, the charging power, the hydrogen production power, and the power generation prediction data.

[0015] This application can determine charge data constraints using charging and discharging power, rated energy of energy storage, current state of charge data, minimum charge data, and maximum charge data; determine charging and discharging power constraints using the maximum charging and discharging power of the energy storage module; determine hydrogen production power constraints using the maximum and minimum hydrogen production power; and determine power balance constraints using load power, curtailed power, charging power, hydrogen production power, and power generation prediction data. Therefore, it can constrain the target model under one or more constraints. The more constraints there are, the more accurate the prediction of the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within the second preset time period using the target model.

[0016] Furthermore, determining the charge data constraints based on the charging power and discharging power, the rated energy of the energy storage, the state of charge data of the previous moment, the minimum charge data, and the maximum charge data includes: determining the state of charge data of the next moment based on the charging power and discharging power, the rated energy of the energy storage, and the state of charge data of the current moment; and determining the charge data constraints based on the state of charge data of the next moment, the minimum charge data, and the maximum charge data.

[0017] This application can determine charge data constraints based on the state of charge data, minimum charge data, and maximum charge data at the next moment, thereby providing constraints for predicting the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within a second preset time period.

[0018] Further, determining the power balance constraint based on the load power, the abandoned power, the charging power, the hydrogen production power, and the power generation prediction data includes: applying a power balance constraint between the sum of the load power, the abandoned power, the charging power, and the hydrogen production power, and the power generation prediction data.

[0019] This application can perform power balance constraints between the sum of load power, abandoned power, charging power, and hydrogen production power and power generation prediction data, thereby constraining the power consumed by the hydrogen production system to achieve a balance with the power produced by the photovoltaic module, so as to make the electrical energy in the hydrogen production process more stable.

[0020] Furthermore, the power generation prediction data includes the predicted power generation, and the control method further includes: obtaining the actual power generation of the photovoltaic module; if the actual power generation is less than the predicted power generation, adjusting the charging and discharging power of the energy storage module, and / or adjusting the hydrogen production power of the hydrogen production module.

[0021] This application can obtain the actual power generation and predicted power generation of the photovoltaic module. If the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. In this case, it is necessary to adjust the charging and discharging power of the energy storage module, for example, by increasing the discharging power of the energy storage module, so as to make up for the low actual power generation under the predicted hydrogen production power data, thereby making the power generation in the hydrogen production process more stable.

[0022] In addition to adjusting the charging and discharging power of the energy storage module, the hydrogen production power of the hydrogen production module can also be adjusted. For example, if the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. In this case, the hydrogen production power of the hydrogen production module is reduced to reduce hydrogen consumption, thereby balancing the hydrogen production power and the actual power generation, and also making the electrical energy in the hydrogen production process more stable.

[0023] Furthermore, the control method further includes: acquiring the actual energy storage state of charge of the energy storage module and the actual hydrogen production parameters of the hydrogen production module; adjusting the charging and discharging power of the energy storage module, and / or adjusting the hydrogen production power of the hydrogen production module, based on the actual energy storage state of charge and the actual hydrogen production parameters.

[0024] This application can also adjust the charging and discharging power of the energy storage module, and / or the hydrogen production power of the hydrogen production module, based on the actual state of charge (SBC) and actual hydrogen production parameters of the energy storage module. This allows for more precise adjustments to both the charging and discharging power of the energy storage module and the hydrogen production power of the hydrogen production module. For example, if the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. In this case, the charging and discharging power of the energy storage module needs to be adjusted by increasing the discharge power of the energy storage module to compensate for the lower actual power generation based on the predicted hydrogen production power data. However, if the actual SBC of the energy storage module is low, it can only discharge in a short time. If the actual SBC of the energy storage module is completely consumed, it cannot compensate for the lower actual power generation. In this case, the hydrogen production power of the hydrogen production module needs to be reduced to reduce hydrogen consumption, thereby achieving a balance between the hydrogen production power and the actual power generation power.

[0025] Further, adjusting the charging and discharging power of the energy storage module, and / or adjusting the hydrogen production power of the hydrogen production module, based on the actual energy storage state of charge and the actual hydrogen production parameters, includes: adjusting the power supply power of the energy storage module if the actual energy storage state of charge is greater than or equal to a preset charge value, and if the deviation range between the actual power generation power and the predicted power generation power is less than or equal to a first preset value; reducing the hydrogen production power of the hydrogen production module if the actual energy storage state of charge is less than the preset charge value, and if the deviation range between the actual power generation power and the predicted power generation power is greater than or equal to a second preset value and less than or equal to a third preset value, wherein the first preset value is greater than the second preset value and less than the third preset value; stopping hydrogen production by the hydrogen production module if the actual energy storage state of charge is less than the preset charge value, and if the deviation range between the actual power generation power and the predicted power generation power is greater than or equal to a fourth preset value, wherein the fourth preset value is greater than the third preset value.

[0026] This application enables the adjustment of the charging and discharging power of the energy storage module, and / or the hydrogen production power of the hydrogen production module, under different conditions by setting a first preset value, a second preset value, a third preset value, and a fourth preset value, thereby making the adjustment of the charging and discharging power and the hydrogen production power more standardized.

[0027] Furthermore, the energy storage module includes a battery pack and a converter; adjusting the power supply of the energy storage module includes: if the deviation range between the actual power generation and the predicted power generation is less than or equal to a fifth preset value, then adjusting the charging and discharging power of the battery pack, wherein the fifth preset value is less than the first preset value; if the deviation range between the actual power generation and the predicted power generation is greater than the fifth preset value and less than or equal to the first preset value, then adjusting the output power of the converter.

[0028] This application can adjust the charging and discharging power of the energy storage module by adjusting the charging and discharging power of the battery pack or the output power of the inverter, and can make the adjustment of the charging and discharging power of the battery pack or the output power of the inverter more standardized by setting a fifth preset value.

[0029] According to a second aspect of this application, this application also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the control method for the photo-hydrogen storage hydrogen production system described above.

[0030] According to a third aspect of this application, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for the photoelectric hydrogen storage hydrogen production system described in any one of the above.

[0031] Through one or more embodiments of the above embodiments in this application, at least the following technical effects can be achieved: The technical solution disclosed in this application can adjust the electrical energy required for hydrogen production by adjusting the hydrogen production demand data in real time, thereby reducing the impact of power fluctuations caused by photovoltaic energy fluctuations in off-grid photovoltaic hydrogen production. This reduces the probability of electrolyzer start-up and shutdown during water electrolysis hydrogen production, improves the stability of the hydrogen production system, and reduces the safety risks of the hydrogen production system. Attached Figure Description

[0032] The technical solution and other beneficial effects of this application will become apparent from the following detailed description of specific embodiments in conjunction with the accompanying drawings.

[0033] Figure 1 A schematic block diagram of a photoelectric hydrogen storage hydrogen production system provided in the embodiments of this application; Figure 2 A flowchart of a hydrogen production system control method for photovoltaic hydrogen storage provided in an embodiment of this application; Figure 3A flowchart illustrating the prediction of the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within a second preset time period in the control method of the photoelectric hydrogen storage hydrogen production system provided in the embodiments of this application. Figure 4 A schematic block diagram of the structure of the electronic device provided in the embodiments of this application.

[0034] illustrate: 1. Photovoltaic module; 2. Energy storage module; 3. Hydrogen production module; 4. Energy management module. Detailed Implementation

[0035] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0036] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0037] Off-grid photovoltaic hydrogen production is a technology that uses solar energy to generate hydrogen directly. It first uses solar energy to generate electricity and then uses water electrolysis to produce hydrogen.

[0038] However, off-grid photovoltaic hydrogen production is affected by fluctuations in photovoltaic energy, and the generated electricity also fluctuates. This leads to frequent start-ups and shutdowns of the electrolyzer during water electrolysis, resulting in poor stability of the hydrogen production system, which increases the safety risks of the hydrogen production system and also affects the lifespan of the electrolyzer.

[0039] In addition, off-grid photovoltaic hydrogen production is usually equipped with an energy storage system. To adapt to the volatility of off-grid photovoltaic hydrogen production, a larger energy storage system is needed, which increases the cost of the entire system and raises the cost of hydrogen production.

[0040] Furthermore, off-grid photovoltaic hydrogen production systems are affected by the volatility of renewable energy output and the uncertainty of load demand, making it difficult for dispatch strategies to balance economic efficiency and dynamic stability. Dispatch strategies suffer from poor timeliness; for example, optimization on a single time scale (such as hourly) cannot respond to minute-level photovoltaic fluctuations, resulting in low system fault tolerance.

[0041] Please see Figure 1This application provides a hydrogen production system with photovoltaic hydrogen storage, which includes a photovoltaic module 1, an energy storage module 2, a hydrogen production module 3, and an energy management module 4.

[0042] The photovoltaic module 1 includes a photovoltaic array and an inverter. The photovoltaic array consists of multiple photovoltaic modules connected in series and parallel. Its scale and layout are designed according to the actual application scenario and hydrogen production needs, and it can absorb solar energy and convert it into electrical energy to the maximum extent. The inverter is used to convert DC (Direct Current) to AC (Alternating Current) and perform maximum power point tracking (MPPT). By monitoring the output voltage and current of the photovoltaic array in real time and using a preset control algorithm, the photovoltaic array is kept operating near its maximum power point, thereby improving the efficiency of solar energy utilization.

[0043] Energy storage systems consist of energy storage battery packs (or battery arrays) and PCS (Power Conversion System) converters. The energy storage battery pack comprises multiple battery cells, possessing high energy density and charge / discharge efficiency, capable of storing excess electrical energy generated by photovoltaic systems. The PCS converter's primary function is to convert the DC power of the energy storage system to AC power, while simultaneously managing the charge and discharge energy of the lithium batteries. It can precisely control the charging and discharging process of the energy storage batteries according to the instructions of the EMS (Energy Management System), ensuring that the batteries operate in a safe and efficient state. Furthermore, the energy storage battery pack is equipped with a battery management system to monitor parameters such as battery voltage, current, and temperature, assessing the battery's health status in real time and preventing abnormal conditions such as overcharging, over-discharging, and overheating.

[0044] Energy management module 4 primarily handles energy dispatching for user demand, energy supply (photovoltaics and energy storage), and hydrogen production module 3, while simultaneously stabilizing AC voltage and frequency. By collecting and analyzing real-time operational data from each module, such as the power generation of photovoltaic module 1, the state of charge of energy storage module 2, the power demand of hydrogen production module 3, and the user's hydrogen production requirements, it employs preset control algorithms and optimization strategies to formulate reasonable energy dispatching schemes, achieving optimal system energy allocation. Furthermore, energy management module 4 possesses high-speed communication capabilities, enabling rapid and accurate data communication with each module to ensure the timely transmission and execution of energy dispatching commands.

[0045] The hydrogen production module 3 includes an electrolyzer and a hydrogen purification unit. The electrolyzer is used to electrolyze water to produce hydrogen and oxygen, and the hydrogen purification unit is used to purify hydrogen from the hydrogen and oxygen produced by water electrolysis.

[0046] Please see Figure 2This embodiment also provides a control method for a photoelectric hydrogen storage hydrogen production system, including: S101. Obtain the predicted power generation data of the photovoltaic module within the first preset time period, as well as the charge-related data of the energy storage module and the status data of the hydrogen production module. The first preset time period is the current time period, and the power generation prediction data can be obtained by predicting based on the historical power generation data of photovoltaic module 1; the charge-related data of energy storage module 2 can be obtained from energy storage module 2, and the charge-related data includes at least one of the remaining power, full charge capacity, charging power, and discharging power; the status data of hydrogen production module 3 includes at least one of the hydrogen production power and equivalent cost data of consuming unit power within the first preset time period.

[0047] S102. Based on the power generation forecast data, charge-related data, and status data, predict the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within the second preset time period. The second preset time period is the next time period after the first preset time period. It is a time period in which the event has not yet occurred. The charging and discharging power data of the energy storage module 2 and the hydrogen production power data of the hydrogen production module 3 are predicted during the second preset time period in which the event has not yet occurred by using power generation prediction data, charge-related data, and status data.

[0048] Please see Figure 3 In this embodiment, step S102, predicting the charging and discharging power data of the energy storage module 2 and the hydrogen production power data of the hydrogen production module 3 within the second preset time period based on power generation prediction data, charge-related data, and status data, includes: S1021. Obtain the target model of the hydrogen production system. The target model aims to minimize the energy consumption of the hydrogen production system and maximize the utilization rate of the predicted power generation data. The utilization rate refers to the percentage of the total power generation that is actually effectively utilized by the hydrogen production system, which reflects the utilization efficiency of photovoltaic energy.

[0049] In this embodiment, obtaining the target model of the hydrogen production system includes: Obtain the loss coefficient of energy storage module 2 during charging and discharging, the charging power and discharging power of energy storage module 2, the equivalent cost data of hydrogen production module 3 per unit of electrical energy consumed, the hydrogen production power of hydrogen production module 3, and the abandoned power of photovoltaic module 1. The target model is determined based on the loss coefficient, charging power and discharging power, equivalent cost data, hydrogen production power, and abandoned power.

[0050] This embodiment uses a target model determined by loss coefficient, charging power and discharging power, equivalent cost data, hydrogen production power, and abandoned power, and then uses the target model to predict the charging and discharging power data of energy storage module 2 and the hydrogen production power data of hydrogen production module 3 within the second preset time period.

[0051] The target model can be represented as:

[0052] in, This represents the loss coefficient for energy storage module 2 during charging and discharging. This indicates the charging power of energy storage module 2. This indicates the discharge power of energy storage module 2. This represents the equivalent cost data for each unit of electrical energy consumed by hydrogen production module 3. This indicates the hydrogen production power of hydrogen production module 3. This represents the preset penalty coefficient. The term "pre-set time period" represents the power generation abandoned by photovoltaic module 1, where n represents n preset time periods, and t represents one of the n preset time periods. The second preset time period is any one of the n time periods. In this embodiment, n can be 24, representing 24 hours, and each preset time period is 1 hour. Therefore, the hydrogen production system control method for photovoltaic hydrogen storage provided in this embodiment can achieve hourly-level scheduling within a day.

[0053] In other embodiments, n can also be 60, representing 60 minutes, and each preset time period is 1 minute. In this case, the control method of the photoelectric hydrogen storage hydrogen production system provided in this embodiment can be scheduled at the minute level within a day.

[0054] It should be noted that there are no restrictions on the value of n, as long as it can represent a time period, it is within the scope of protection of this application.

[0055] Among them, the intraday hourly scheduling can formulate reasonable energy scheduling plans based on renewable energy power generation forecasts, system status, and production needs, thereby achieving optimal allocation of system energy; the intraday minute-level dynamic correction can adjust the energy scheduling plan in real time according to the actual system operation, improving the system's fault tolerance and ability to respond to emergencies.

[0056] Therefore, this embodiment takes minimizing the total system operating cost and maximizing the absorption rate of power generation prediction data as the objective function. Through reasonable constraints and optimization algorithms, it reduces the system operating cost and improves the utilization efficiency of renewable energy, resulting in significant economic and environmental benefits.

[0057] S1022. Obtain the constraint data of the target model. The constraint data includes at least one of the following: charge data constraint, charge and discharge power constraint, hydrogen production power constraint, and power balance constraint. In this embodiment, obtaining the constraint data of the target model includes: Acquire the charging power and discharging power, rated energy, current state of charge data, minimum charge data, and maximum charge data of energy storage module 2; determine charge data constraints based on the charging power and discharging power, rated energy, current state of charge data, minimum charge data, and maximum charge data. And / or, obtain the maximum charging power and maximum discharging power of energy storage module 2; determine the charging and discharging power constraints based on the maximum charging power and maximum discharging power; And / or, obtain the maximum and minimum hydrogen production power of hydrogen production module 3; determine the hydrogen production power constraint based on the maximum and minimum hydrogen production power; And / or, acquire the load power of the hydrogen production system, the power curtailment of photovoltaic module 1, the charging power of energy storage module 2, the hydrogen production power of hydrogen production module 3, and the power generation prediction data generated by photovoltaic module 1; determine the power balance constraints based on the load power, power curtailment, charging power, hydrogen production power, and power generation prediction data.

[0058] In this embodiment, the charge data constraint is to constrain the state of charge of the energy storage module. For example, the state of charge needs to be greater than or equal to the minimum state of charge and less than or equal to the maximum state of charge.

[0059] Charging and discharging power constraints are the charging and discharging constraints of the energy storage module, involving the requirements / demands that must be met during charging and discharging. For example, the charging power of energy storage module 2 is constrained to be less than or equal to the maximum charging power, and the discharging power of energy storage module 2 is constrained to be less than or equal to the maximum discharging power.

[0060] Hydrogen production power constraints are the conditions that limit the hydrogen production power of a hydrogen production module. These constraints relate to the requirements / demands that hydrogen production must meet. For example, the hydrogen production power of the module must be greater than or equal to a minimum hydrogen production power, and less than or equal to a maximum hydrogen production power. The minimum and maximum hydrogen production power are preset values.

[0061] Power balance constraint refers to the balance between power consumption and power supply of each module in a hydrogen production system. For example, the load power of the hydrogen production system, the power curtailment of photovoltaic module 1, the charging power of energy storage module 2, and the hydrogen production power of hydrogen production module 3 are all power consumption, while the power supply of photovoltaic module 1 is the predicted power generation data. The balance is achieved when power supply and power consumption are the same.

[0062] This embodiment can determine charge data constraints using charging and discharging power, rated energy storage, current state of charge data, minimum charge data, and maximum charge data; determine charging and discharging power constraints using the maximum charging and discharging power of energy storage module 2; determine hydrogen production power constraints using the maximum and minimum hydrogen production power; and determine power balance constraints using load power, abandoned power, charging power, hydrogen production power, and power generation prediction data. Therefore, the target model can be constrained under one or more constraints. The more constraints there are, the more accurate the prediction of charging and discharging power data of energy storage module 2 and hydrogen production power data of hydrogen production module 3 within the second preset time period using the target model.

[0063] The charge data constraints are determined based on charging and discharging power, rated energy storage, previous state of charge data, minimum charge data, and maximum charge data, including: Based on the charging power and discharging power, the rated energy of the energy storage, and the current state of charge (SOC) data, determine the SOC data for the next moment; based on the SOC data for the next moment, the minimum SOC data, and the maximum SOC data, determine the SOC data constraints.

[0064] In this embodiment, the formula for the charge data constraint includes:

[0065] in, For the state of charge data at the next moment, This is the state of charge data from the previous moment. For the charging efficiency of energy storage module 2, For the discharge efficiency of energy storage module 2, The charging power of energy storage module 2, This represents the discharge efficiency of energy storage module 2 at the previous moment. This is the rated capacity of energy storage module 2.

[0066] This embodiment can determine the charge data constraints based on the state of charge data, minimum charge data, and maximum charge data at the next moment, thereby providing constraints for predicting the charging and discharging power data of the energy storage module 2 and the hydrogen production power data of the hydrogen production module 3 within the second preset time period.

[0067] Among them, power balance constraints are determined based on load power, abandoned power, charging power, hydrogen production power and power generation forecast data, including: power balance constraints are established between the sum of load power, abandoned power, charging power and hydrogen production power and power generation forecast data.

[0068] In this embodiment, a power balance constraint is applied between the sum of load power, abandoned power, charging power, and hydrogen production power and the power generation prediction data. This constraint can ensure that the power consumed by the hydrogen production system is balanced with the power produced by the photovoltaic module 1, thereby making the electrical energy in the hydrogen production process more stable.

[0069] S1023. Based on the power generation forecast data, charge-related data, state data, target model, and constraint data, predict the charging and discharging power data of the energy storage module and the hydrogen production power data of the hydrogen production module within the second preset time period.

[0070] This embodiment uses a target model to minimize the energy consumption of the hydrogen production system and maximize the absorption rate of the power generation prediction data during the hydrogen production process. This ensures that the charging and discharging power data of the energy storage module 2 within the second preset time period calculated by the target model can maintain the maximum absorption rate of the power generation prediction data and minimize the energy consumption of the hydrogen production system, thereby maximizing the utilization of the electrical energy generated by the photovoltaic module 1 and minimizing the hydrogen production power data of the hydrogen production module 3.

[0071] In addition, this application uses constraint data to constrain the target model, so that the charging and discharging power data of the energy storage module 2 and the hydrogen production power data of the hydrogen production module 3 calculated by the target model are within the constraint range, thereby improving the reliability of the charging and discharging power data and the hydrogen production power data, reducing the operating cost of the system, and improving the utilization efficiency of renewable energy.

[0072] S103, control the energy storage module to operate based on charging and discharging power data, and the hydrogen production module to operate based on hydrogen production power data, in order to adjust the hydrogen production demand data.

[0073] The hydrogen production system control method for photovoltaic hydrogen storage provided in this embodiment can predict the required electrical energy for hydrogen production in the second period by predicting the hydrogen production power data of the hydrogen production module 3 in the second period. This allows for the reduction of hydrogen production demand data when the predicted power generation data of the photovoltaic module 1 is insufficient to meet the required electrical energy for hydrogen production in the second period, or the increase of hydrogen production demand data when the predicted power generation data of the photovoltaic module 1 exceeds the required electrical energy for hydrogen production in the second period.

[0074] Therefore, this application can adjust the electrical energy required for hydrogen production by adjusting the hydrogen production demand data in real time, thereby reducing the impact of power fluctuations caused by photovoltaic energy fluctuations in off-grid photovoltaic hydrogen production. This reduces the probability of electrolyzer start-up and shutdown during water electrolysis hydrogen production, improves the stability of the hydrogen production system, and reduces the safety risks of the hydrogen production system.

[0075] In addition, this application also uses an energy storage module 2 to charge and discharge the electricity generated by the photovoltaic module 1. When the predicted power generation data of the photovoltaic module 1 is insufficient to meet the power required for hydrogen production in the second period, the energy storage module 2 can discharge, which can supplement the power required for hydrogen production to a certain extent. When the predicted power generation data of the photovoltaic module 1 exceeds the power required for hydrogen production in the second period, the energy storage module 2 can charge, providing power for hydrogen production when the electricity generated by the photovoltaic module 1 is low. This further reduces the fluctuation of power during the hydrogen production process, which further reduces the probability of electrolyzer start-up and shutdown during water electrolysis hydrogen production, improves the stability of the hydrogen production system, and reduces the safety risks of the hydrogen production system.

[0076] In summary, this embodiment, by using the energy management module 4 to execute the above technical solution, organically combines the photovoltaic module 1, energy storage module 2, and hydrogen production module 3, fully leveraging the advantages of each module, effectively addressing the impact of photovoltaic fluctuations on the hydrogen production system, and improving the operational stability of the hydrogen production system. Furthermore, it possesses comprehensive monitoring and control functions, enabling real-time monitoring of the operating status of each subsystem and precise control as needed, ensuring the system operates safely and efficiently, extending equipment lifespan, and reducing maintenance costs.

[0077] In some embodiments, the power generation prediction data includes the predicted power generation, and the control method of the photovoltaic-hydrogen storage hydrogen production system further includes: obtaining the actual power generation of the photovoltaic module 1; if the actual power generation is less than the predicted power generation, adjusting the charging and discharging power of the energy storage module 2, and / or adjusting the hydrogen production power of the hydrogen production module 3.

[0078] In this embodiment, the actual power generation and predicted power generation of photovoltaic module 1 can be obtained. If the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. At this time, it is necessary to adjust the charging and discharging power of energy storage module 2, for example, increase the discharging power of energy storage module 2, so as to supplement the low actual power generation under the predicted hydrogen production power data, thereby making the power supply in the hydrogen production process more stable.

[0079] In addition to adjusting the charging and discharging power of the energy storage module 2, the hydrogen production power of the hydrogen production module 3 can also be adjusted. For example, if the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. At this time, the hydrogen production power of the hydrogen production module 3 is reduced to reduce hydrogen consumption, thereby balancing the hydrogen production power and the actual power generation, and also making the electrical energy in the hydrogen production process more stable.

[0080] In some embodiments, the control method for the hydrogen production system of photovoltaic hydrogen storage further includes: acquiring the actual energy storage state of charge of the energy storage module 2 and the actual hydrogen production parameters of the hydrogen production module 3; adjusting the charging and discharging power of the energy storage module 2, and / or adjusting the hydrogen production power of the hydrogen production module 3 according to the actual energy storage state of charge and the actual hydrogen production parameters.

[0081] In this embodiment, the charging and discharging power of the energy storage module 2, and / or the hydrogen production power of the hydrogen production module 3, can be adjusted based on the actual state of charge of the energy storage module 2 and the actual hydrogen production parameters. This allows for more precise adjustments to the charging and discharging power of the energy storage module 2 and the hydrogen production power of the hydrogen production module 3. For example, if the actual power generation is less than the predicted power generation, it means that the actual power generation is too low according to the predicted hydrogen production power data. In this case, the charging and discharging power of the energy storage module 2 needs to be adjusted by increasing the discharge power of the energy storage module 2 to compensate for the lower actual power generation under the predicted hydrogen production power data. However, if the actual state of charge of the energy storage module 2 is low, it can only discharge in a short time. If the actual state of charge of the energy storage module 2 is completely consumed, it cannot compensate for the lower actual power generation. In this case, the hydrogen production power of the hydrogen production module 3 needs to be reduced to reduce hydrogen consumption, thereby achieving a balance between the hydrogen production power and the actual power generation power.

[0082] Specifically, the charging and discharging power of the energy storage module 2 is adjusted during the third preset time period, and / or the charging and discharging power of the hydrogen production module 3 is adjusted during the third preset time period. The third preset time period is shorter than the second preset time period, or the time granularity of the third preset time period is shorter than the time granularity of the second preset time period.

[0083] For example, assuming the second preset time period is 24 hours, it implements scheduling / adjustment at the hourly level within a day. The third preset time period can be 5 minutes, implementing scheduling / adjustment at the minute level within a day. This application embodiment uses this case as an example for illustration. Intraday hourly scheduling / adjustment is usually a relatively large-scale scheduling / adjustment, while intraday minute-level scheduling / adjustment is a smaller-scale scheduling / adjustment. Therefore, intraday minute-level scheduling / adjustment is used to correct intraday hourly scheduling / adjustment.

[0084] For example, assuming the second preset time period is 60 minutes, it implements scheduling / adjustment at the first minute level within the day. The third preset time period can be 2 minutes, implementing scheduling / adjustment at the second minute level within the day. Scheduling / adjustment at the first minute level within the day is usually a relatively large-scale scheduling / adjustment, while scheduling / adjustment at the second minute level within the day is a smaller-scale scheduling / adjustment. Therefore, scheduling / adjustment at the second minute level within the day can be used to correct scheduling / adjustment at the first minute level within the day.

[0085] In some embodiments, adjusting the charging and discharging power of the energy storage module 2, and / or adjusting the hydrogen production power of the hydrogen production module 3, based on the actual energy storage state of charge and actual hydrogen production parameters, includes: If the actual state of charge of the energy storage is greater than or equal to the preset charge value, and if the deviation between the actual power generation and the predicted power generation is less than or equal to the first preset value, then the power supply of the energy storage module 2 is adjusted. If the actual state of charge of the energy storage is less than the preset value of the charge, and if the deviation between the actual power generation and the predicted power generation is greater than or equal to the second preset value and less than or equal to the third preset value, then the hydrogen production power of the hydrogen production module 3 shall be reduced, wherein the first preset value is greater than the second preset value and less than the third preset value. If the actual state of charge of the energy storage is less than the preset value, and if the deviation between the actual power generation and the predicted power generation is greater than or equal to the fourth preset value, then the hydrogen production of the hydrogen production module 3 shall be stopped, wherein the fourth preset value is greater than the third preset value.

[0086] In this embodiment, the first preset value is 25%, the second preset value is 15%, the third preset value is 30%, and the fourth preset value is 50%.

[0087] It should be noted that the above preset values ​​are only one implementation method. The first preset value, the second preset value, the third preset value, and the fourth preset value can also have other implementation methods. For example, the first preset value is any value between 20% and 30%, the second preset value is any value between 10% and 20%, the third preset value is any value between 25% and 35%, and the fourth preset value is any value between 45% and 55%.

[0088] This application, by setting a first preset value, a second preset value, a third preset value, and a fourth preset value, can adjust the charging and discharging power of the energy storage module 2, and / or the hydrogen production power of the hydrogen production module 3, under different conditions, making the adjustment of the charging and discharging power and the hydrogen production power more standardized.

[0089] Furthermore, by calculating the deviation between actual and predicted power generation and adjusting the power supply of energy storage module 2 based on the calculation results, the hydrogen production system achieves minute-level optimization adjustments within the day. For example, when a deviation between the actual output of renewable energy and the predicted value is detected, energy management module 4 first calculates the magnitude and direction of the power deviation. If the actual output is lower than the predicted value and the state of charge (SBC) data of the energy storage system is within a reasonable range, the energy storage system is prioritized for power supply to meet the power demands of the hydrogen production system and other loads. If the SBC data of the energy storage system is low and cannot meet all power demands, the hydrogen production power is appropriately reduced according to the priority and operating status of the hydrogen production equipment to ensure stable system operation. Simultaneously, during the adjustment process, the system strictly adheres to stability constraints such as the safe range of the energy storage SBC data and the power limits of the hydrogen production equipment to prevent system failures. When a sudden failure occurs in the hydrogen production equipment, energy management module 4 can quickly detect it and dynamically adjust the charging and discharging strategy of the energy storage system and the power settings of other hydrogen production equipment according to the type and severity of the failure to maintain basic system operation and energy balance.

[0090] Therefore, by optimizing and adjusting the hydrogen production system at the minute-by-minute level throughout the day, the energy scheduling plan can be adjusted in real time according to the actual operation of the system, thereby improving the system's fault tolerance and ability to respond to emergencies.

[0091] As can be seen from the above embodiments, the energy storage module 2 includes a battery pack and an inverter. Adjusting the power supply of the energy storage module 2 includes: If the deviation between the actual power generation and the predicted power generation is less than or equal to the fifth preset value, the charging and discharging power of the battery pack will be adjusted, wherein the fifth preset value is less than the first preset value. If the deviation between the actual power generation and the predicted power generation is greater than the fifth preset value, but less than or equal to the first preset value, then the output power of the converter will be adjusted.

[0092] In this embodiment, the fifth preset value ranges from 5% to 15%, for example, the fifth preset value can be 10%.

[0093] This embodiment can adjust the charging and discharging power of the energy storage module 2 by adjusting the charging and discharging power of the battery pack or the output power of the inverter, and the adjustment of the charging and discharging power of the battery pack or the output power of the inverter can be made more standardized by setting a fifth preset value.

[0094] Based on different preset values, the correction strategy adopted in this application is a four-level dynamic response mechanism, as detailed in Table 1: Table 1. Level 4 Dynamic Response Mechanism

[0095] Because photovoltaic power fluctuations exhibit diverse time scales (e.g., millisecond-level instantaneous disturbances, minute-level cloud cover, hourly diurnal variations, etc.), the four-level response mechanism provided in this embodiment, by classifying deviation levels, calls upon matching hardware resources (such as battery banks and PCS converters) for fluctuations of different time scales and amplitudes, thus avoiding resource mismatch issues such as insufficient or excessive power provided by photovoltaic power generation modules.

[0096] In other embodiments, a three-level fluctuation response strategy can also be used. For example, if the deviation between the generated power and the predicted power is less than 20 kW, it is a level one fluctuation, which is compensated by charging and discharging the battery pack and fine-tuning the power of the electrolyzer. If the deviation is greater than or equal to 20 kW and less than or equal to 50 kW, it is a level two fluctuation, in which backup energy storage is activated, the battery pack is discharged, and the power of the electrolyzer is reduced. If the deviation is greater than or equal to 20 kW, it is a level three fluctuation, in which the hydrogen production module is gradually shut down and switched to grid power.

[0097] This embodiment has also been verified based on actual conditions, as follows: System Architecture: A multi-DC / DC co-operated DC bus structure integrating photovoltaic modules, energy storage modules, and hydrogen production modules (electrolyzers). The photovoltaic modules output AC power, supporting MPPT (Maximum Power Point Tracking) and constant voltage mode switching (e.g., SUN2000 model). The energy storage modules output AC power, supporting bidirectional charging and discharging with a response time of <50ms. The electrolyzer power supply uses a high-frequency rectifier (efficiency >95%). The AC power output from the photovoltaic or energy storage modules is converted to DC power by the electrolyzer power supply; therefore, the entire hydrogen production process is controlled via AC coupling.

[0098] Parameters: 100kW photovoltaic module, 100kW / h energy storage module, 40kW electrolytic cell, 460V bus voltage, fluctuation range ±5%.

[0099] Algorithm: Photovoltaic power prediction: based on historical data and weather models (such as the ARIMA algorithm); Battery pack state of charge management: using dynamic threshold adjustment (such as 20%-90% as the working range).

[0100] Experimental data: Hydrogen production efficiency increased by 15% under photovoltaic fluctuations; the number of electrolyzer start-ups and shutdowns decreased by 70%.

[0101] Based on the experimental data above, it can be seen that the hydrogen production system control method for photovoltaic hydrogen storage provided in this application embodiment can significantly improve the hydrogen production efficiency under photovoltaic fluctuations and significantly reduce the number of electrolyzer start-ups and shutdowns.

[0102] This application provides an electronic device; please refer to [link / reference]. Figure 4The electronic device includes a memory 601, a processor 602, and a computer program stored in the memory 601 and executable on the processor 602. When the processor 602 executes the computer program, it implements the control method for the photohydrogen production system of photohydrogen storage described above.

[0103] Furthermore, the electronic device also includes at least one input device 603 and at least one output device 604.

[0104] The aforementioned memory 601, processor 602, input device 603, and output device 604 are connected via bus 605.

[0105] The input device 603 can specifically be a camera, touch panel, physical buttons, or mouse, etc. The output device 604 can specifically be a display screen.

[0106] The memory 601 can be a high-speed random access memory (RAM) or a non-volatile memory, such as a disk storage device. The memory 601 is used to store a set of executable program code, and the processor 602 is coupled to the memory 601.

[0107] Furthermore, this application embodiment also provides a computer-readable storage medium, which may be disposed in the electronic device in the above embodiments, and the computer-readable storage medium may be the memory 601 in the foregoing embodiments. The computer-readable storage medium stores a computer program, which, when executed by the processor 602, implements the photo-hydrogen storage hydrogen production system control method described in the foregoing method embodiments.

[0108] Furthermore, the storage medium of this computer can also be a USB flash drive, a portable hard drive, a read-only memory (ROM), RAM, a magnetic disk, or an optical disk, or any other medium that can store program code.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0110] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0111] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0112] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0113] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0114] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0115] In summary, although the present application has disclosed the preferred embodiments as described above, the above preferred embodiments are not intended to limit the present application. Those skilled in the art can make various modifications and refinements without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be determined by the scope defined in the claims.

Claims

1. A control method for a photoelectric hydrogen storage hydrogen production system, characterized in that, The hydrogen production system includes a photovoltaic module (1), an energy storage module (2), a hydrogen production module (3), and an energy management module (4). The control method is applied to the energy management module (4). The control method includes: Obtain the predicted power generation data of the photovoltaic module (1) within the first preset time period, as well as the charge-related data of the energy storage module (2) and the status data of the hydrogen production module (3); Based on the power generation prediction data, the charge-related data, and the status data, predict the charging and discharging power data of the energy storage module (2) and the hydrogen production power data of the hydrogen production module (3) within the second preset time period; The energy storage module (2) is controlled to operate with the charge and discharge power data, and the hydrogen production module (3) is controlled to operate with the hydrogen production power data.

2. The hydrogen production system control method according to claim 1, characterized in that, The step of predicting the charging and discharging power data of the energy storage module (2) and the hydrogen production power data of the hydrogen production module (3) within a second preset time period based on the power generation prediction data, the charge-related data, and the state data includes: Obtain a target model for the hydrogen production system, wherein the target model aims to minimize the energy consumption of the hydrogen production system and maximize the utilization rate of the predicted power generation data. Obtain constraint data for the target model, wherein the constraint data includes at least one of charge data constraints, charge / discharge power constraints, hydrogen production power constraints, and power balance constraints; Based on the power generation prediction data, the charge-related data, the state data, the target model, and the constraint data, the charging and discharging power data of the energy storage module (2) and the hydrogen production power data of the hydrogen production module (3) are predicted within the second preset time period.

3. The hydrogen production system control method according to claim 2, characterized in that, The process of obtaining the target model of the hydrogen production system includes: The loss coefficient of energy storage module (2) during charging and discharging, the charging power and discharging power of energy storage module (2), the equivalent cost data of unit power consumed by hydrogen production module (3), the hydrogen production power of hydrogen production module (3), and the abandoned power of photovoltaic module (1) are obtained. The target model is determined based on the loss coefficient, the charging power and discharging power, the equivalent cost data, the hydrogen production power, and the abandoned power.

4. The hydrogen production system control method according to claim 2, characterized in that, The step of obtaining the constraint data of the target model includes: Obtain the charging power and discharging power, rated energy, current state of charge data, minimum charge data, and maximum charge data of the energy storage module (2); The charge data constraints are determined based on the charging power and discharging power, the rated energy of the energy storage, the current state of charge data, the minimum charge data, and the maximum charge data. And / or, Obtain the maximum charging power and maximum discharging power of the energy storage module (2); The charging and discharging power constraints are determined based on the maximum charging power and the maximum discharging power. And / or, Obtain the maximum and minimum hydrogen production power of the hydrogen production module (3); The hydrogen production power constraint is determined based on the maximum and minimum hydrogen production power. And / or, The load power of the hydrogen production system, the power curtailment of the photovoltaic module (1), the charging power of the energy storage module (2), the hydrogen production power of the hydrogen production module (3), and the power generation prediction data generated by the photovoltaic module (1) are obtained. Power balance constraints are determined based on the load power, the abandoned power, the charging power, the hydrogen production power, and the power generation forecast data.

5. The hydrogen production system control method according to claim 4, characterized in that, The determination of charge data constraints based on the charging power and discharging power, rated energy storage, previous state of charge data, minimum charge data, and maximum charge data includes: Based on the charging power and discharging power, the rated energy of the energy storage, and the current state of charge data, determine the state of charge data for the next moment; The charge data constraints are determined based on the charge state data, minimum charge data, and maximum charge data at the next time step.

6. The hydrogen production system control method according to claim 4, characterized in that, The step of determining power balance constraints based on the load power, the abandoned power, the charging power, the hydrogen production power, and the power generation forecast data includes: applying power balance constraints between the sum of the load power, the abandoned power, the charging power, and the hydrogen production power, and the power generation forecast data.

7. The control method for a hydrogen production system based on photocatalytic hydrogen storage as described in any one of claims 1-6, characterized in that, The power generation forecast data includes the forecast power generation, and the control method further includes: Obtain the actual power generation of the photovoltaic module (1); If the actual power generation is less than the predicted power generation, the charging and discharging power of the energy storage module (2) is adjusted, or / and the hydrogen production power of the hydrogen production module (3) is adjusted.

8. The control method for a hydrogen production system based on photocatalytic hydrogen storage as described in claim 7, characterized in that, The control method further includes: acquiring the actual energy storage state of charge of the energy storage module (2) and the actual hydrogen production parameters of the hydrogen production module (3); Based on the actual energy storage state of charge and the actual hydrogen production parameters, adjust the charging and discharging power of the energy storage module (2), and / or adjust the hydrogen production power of the hydrogen production module (3).

9. The control method for a hydrogen production system based on photocatalytic hydrogen storage as described in claim 8, characterized in that, The step of adjusting the charging and discharging power of the energy storage module (2) and / or adjusting the hydrogen production power of the hydrogen production module (3) based on the actual energy storage state of charge and the actual hydrogen production parameters includes: If the actual energy storage state of charge is greater than or equal to the preset charge value, and if the deviation range between the actual power generation and the predicted power generation is less than or equal to the first preset value, then the power supply of the energy storage module (2) is adjusted. If the actual energy storage state of charge is less than the preset charge value, and if the deviation between the actual power generation and the predicted power generation is greater than or equal to the second preset value and less than or equal to the third preset value, then the hydrogen production power of the hydrogen production module (3) is reduced, wherein the first preset value is greater than the second preset value and less than the third preset value; If the actual state of charge of the energy storage is less than the preset charge value, and if the deviation between the actual power generation and the predicted power generation is greater than or equal to the fourth preset value, then the hydrogen production of the hydrogen production module (3) shall be stopped, wherein the fourth preset value is greater than the third preset value.

10. The control method for a hydrogen production system based on photovoltaic hydrogen storage as described in claim 9, characterized in that, The energy storage module (2) includes a battery pack and a converter; Adjusting the power supply of the energy storage module (2) includes: If the deviation between the actual power generation and the predicted power generation is less than or equal to a fifth preset value, then the charging and discharging power of the battery pack is adjusted, wherein the fifth preset value is less than the first preset value; If the deviation between the actual power generation and the predicted power generation is greater than the fifth preset value, but less than or equal to the first preset value, then the output power of the converter is adjusted.

11. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the method of any one of claims 1 to 10.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method according to any one of claims 1 to 10.

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