Hydrogen production system, control method and control device for electrolyzing water, and electronic device

Abstract

The embodiment of the application discloses a kind of hydrogen production system and its control method, control device and electronic equipment for electrolysis of water, it is related to hydrogen production technical field, the hydrogen production system for electrolysis of water includes: hydrogen production equipment, green energy power supply equipment, green energy interaction unit, PID controller and load distribution unit;Wherein, green energy interaction unit is used according to the size relationship between predicted green power load and real-time total load, and green power load variation trend, generates the target set value of real-time total load;PID controller is used for generating load adjustment instruction according to the deviation between target set value and real-time total load;Load distribution unit is used for converting load adjustment instruction into power control instruction for electrolytic cell according to the adjustable power range of electrolytic cell of hydrogen production equipment, to adjust the operating power of each electrolytic cell, so that real-time total load approaches target set value.

Description

Technical Field

[0001] This application relates to the field of hydrogen production technology, specifically to an electrolytic water hydrogen production system and its control method, control device, and electronic equipment. Background Technology

[0002] With the continuous expansion of installed capacity for green energy sources such as wind power and photovoltaics, using green energy to generate electricity to drive water electrolysis for the production of green hydrogen has become an important pathway to achieve carbon neutrality. During the hydrogen production process, to ensure the "green" nature of hydrogen energy, priority should be given to using green energy sources for power supply, and the use of non-green energy sources such as grid electricity should be avoided as much as possible.

[0003] However, green energy is characterized by randomness and volatility; for example, second-level changes in wind speed and the "cloud shadow effect" of photovoltaics can cause frequent fluctuations in the power supply load of green energy. If the frequently fluctuating power supply load is directly used for the water electrolysis hydrogen production system, the operating power of the water electrolysis hydrogen production system will have to change frequently with the power supply load. Consequently, the frequent adjustment of the operating power of the electrolyzer causes repeated abrupt changes in current density, disrupting the stable state of the electrochemical reaction during hydrogen production, thus leading to a significant decrease in hydrogen purity.

[0004] Therefore, how to avoid the decrease in the purity of hydrogen produced due to random fluctuations in green energy sources, while prioritizing the use of green energy, has become an urgent technical problem to be solved. Summary of the Invention

[0005] This application provides an electrolysis water hydrogen production system and its control method, control device and electronic equipment to solve the technical problems in the related art.

[0006] In a first aspect, embodiments of this application provide a water electrolysis hydrogen production system, the system comprising:

[0007] Hydrogen production equipment, including at least one electrolyzer for producing hydrogen by electrolysis of water; Green energy power supply equipment is electrically connected to the hydrogen production equipment to provide green electrical energy to the hydrogen production equipment; The green energy interactive unit is electrically connected to the green energy power supply equipment, the hydrogen production equipment, and the PID controller. It is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, as well as the real-time total power load of the hydrogen production equipment. Based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend, it generates the target set value of the real-time total power load and outputs it to the PID controller. The PID controller is electrically connected to the green energy interaction unit and the load distribution unit respectively. It is used to generate and send load adjustment commands to the load distribution unit based on the deviation between the target set value and the real-time total power load. The load distribution unit is electrically connected to the PID controller and the hydrogen production equipment, respectively. It is used to convert the load adjustment command into a power control command for the electrolyzer based on the adjustable power range of at least one electrolyzer in the hydrogen production equipment; and to send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The green energy interaction unit includes: The data acquisition module is used to acquire the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment; the durations of the first and second time periods are different. The weight configuration module is used to configure different weight values ​​for the first time period predicted power generation load, the second time period predicted power generation load, the real-time power generation load, and the maximum power generation load. The load forecasting unit is used to determine the forecasted green power supply load based on the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

[0008] In some embodiments, the green energy interaction unit is configured as follows: When the predicted green power supply load is greater than the real-time total power load, and the green power supply load is in the rising phase, the target setpoint is increased by the first linear ramp. When the predicted green power supply load is less than the real-time total power load, and the green power supply load is in a decreasing phase, the target setpoint is reduced by the second linear ramp. The slope of the second linear slope is greater than the slope of the first linear slope.

[0009] In some embodiments, the system provided in the first aspect further includes: The mains power supply equipment is electrically connected to the hydrogen production equipment and the mains power suppression unit, respectively, and is used to provide mains power to the hydrogen production equipment; The mains power suppression unit is electrically connected to the mains power supply equipment, the green energy interaction unit, and the load distribution unit, respectively. It is used to detect whether the mains power supply equipment is supplying power to the hydrogen production equipment, and to obtain the real-time total power load and the predicted green power supply load from the green energy interaction unit. When the real-time total power load is greater than the predicted green power supply load and the mains power supply equipment is supplying power, it generates a load reduction command and sends it to the load distribution unit. The load distribution unit is also used to convert the load reduction instruction into a power reduction control instruction for at least one electrolytic cell according to the load reduction instruction; and to send the power reduction control instruction to the corresponding electrolytic cell to reduce the operating power of the electrolytic cell until the real-time total power load is not greater than the predicted green power supply load, and then control the mains power supply equipment to stop supplying power.

[0010] In some embodiments, the green energy interaction unit includes: The hydrogen production equipment data acquisition module is used to acquire real-time operating data of each electrolyzer in the hydrogen production equipment; the real-time operating data includes at least one of the following: real-time temperature data, real-time pressure data, real-time current data, real-time voltage data, and real-time hydrogen purity data; The total power load determination module is used to determine the real-time total power load of the hydrogen production equipment based on the operating data of each electrolyzer.

[0011] In some embodiments, the PID controller is further configured with: The interlocking module is used to determine whether to prohibit the PID controller from outputting load adjustment commands based on whether the real-time operating data of the hydrogen production equipment exceeds the preset operating data threshold. The anti-integral saturation module is used to prevent the accumulation of the integral term of the PID controller during the period when the lockout module prohibits the PID controller from outputting load regulation commands.

[0012] In some embodiments, the locking module includes: The lockout submodule is used to prevent the PID controller from outputting load adjustment commands that increase the total power load when the real-time operating data of the hydrogen production equipment exceeds the first preset operating data threshold. The lockout sub-module is used to prevent the PID controller from outputting load adjustment commands that reduce the total power load when the real-time operating data of the hydrogen production equipment does not exceed the second preset operating data threshold.

[0013] Secondly, embodiments of this application provide a control method for a water electrolysis hydrogen production system, the method comprising: The system obtains the predicted green power load and green power load change trend of the green energy power supply equipment, as well as the real-time total power load of the hydrogen production equipment; and generates a target set value for the real-time total power load based on the relationship between the predicted green power load and the real-time total power load, and the green power load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; Based on the deviation between the target setpoint and the real-time total power load, a load adjustment command is generated; Based on the adjustable power range of at least one electrolyzer in the hydrogen production equipment, the load adjustment command is converted into a power control command for the electrolyzer; and the power control command is sent to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. Among these, obtaining the predicted green power supply load of green energy power supply equipment includes: The system obtains the first-time predicted power generation load, the second-time predicted power generation load, the real-time power generation load, and the maximum power generation load of green energy power supply equipment; the durations of the first and second time periods are different. Different weight values ​​are assigned to the first time period predicted power generation load, the second time period predicted power generation load, the real-time power generation load, and the maximum power generation load; The predicted green power supply load is determined based on the predicted power generation load in the first time period, the predicted power generation load in the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the predicted power generation load in the first time period, the predicted power generation load in the second time period, the real-time power generation load, and the maximum power generation load.

[0014] Thirdly, embodiments of this application provide a control device for a water electrolysis hydrogen production system, the device comprising: The target setpoint generation module is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, as well as the real-time total power load of the hydrogen production equipment; and to generate the target setpoint of the real-time total power load based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; The load adjustment command generation module is used to generate load adjustment commands based on the deviation between the target setpoint and the real-time total power load. The power control command generation module is used to convert load adjustment commands into power control commands for the electrolyzers based on the adjustable power range of at least one electrolyzer in the hydrogen production equipment; and to send the power control commands to the corresponding electrolyzers to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The target setpoint generation module is specifically used for: The system obtains the first-time predicted power generation load, the second-time predicted power generation load, the real-time power generation load, and the maximum power generation load of green energy power supply equipment; the durations of the first and second time periods are different. Different weight values ​​are assigned to the first time period predicted power generation load, the second time period predicted power generation load, the real-time power generation load, and the maximum power generation load; The predicted green power supply load is determined based on the predicted power generation load in the first time period, the predicted power generation load in the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the predicted power generation load in the first time period, the predicted power generation load in the second time period, the real-time power generation load, and the maximum power generation load.

[0015] Fourthly, embodiments of this application provide an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor, wherein when the processor runs the computer program, it is used to perform the method described in the second aspect embodiment.

[0016] The water electrolysis hydrogen production system provided in this application includes: a hydrogen production device, including at least one electrolyzer for producing hydrogen by water electrolysis; Green energy power supply equipment is electrically connected to the hydrogen production equipment to provide green electrical energy to the hydrogen production equipment; The green energy interactive unit is electrically connected to the green energy power supply equipment, the hydrogen production equipment, and the PID controller. It is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, as well as the real-time total power load of the hydrogen production equipment. Based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend, it generates the target set value of the real-time total power load and outputs it to the PID controller. The PID controller is electrically connected to the green energy interaction unit and the load distribution unit respectively. It is used to generate and send load adjustment commands to the load distribution unit based on the deviation between the target set value and the real-time total power load. The load distribution unit is electrically connected to the PID controller and the hydrogen production equipment, respectively. It is used to convert the load adjustment command into a power control command for the electrolyzer based on the adjustable power range of at least one electrolyzer in the hydrogen production equipment; and to send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The green energy interaction unit includes: The data acquisition module is used to acquire the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment; the durations of the first and second time periods are different. The weight configuration module is used to configure different weight values ​​for the first time period predicted power generation load, the second time period predicted power generation load, the real-time power generation load, and the maximum power generation load. The load forecasting unit is used to determine the forecasted green power supply load based on the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

[0017] The water electrolysis hydrogen production system provided in this application obtains the predicted green power load and its changing trend of the green energy power supply equipment through a green energy interaction unit. It generates a target setpoint based on the relationship between the predicted green power load and the real-time total power load of the hydrogen production equipment, rather than directly using the randomly fluctuating green power load as the setpoint. This avoids frequent adjustments to the hydrogen production power caused by random fluctuations in green energy. Based on this, the PID controller generates a load adjustment command based on the deviation between the target setpoint and the real-time total power load. The load distribution unit further decomposes the load adjustment command into power control commands for each electrolyzer according to the adjustable power range of each electrolyzer. This allows the overall actual total power load to smoothly approach the target setpoint. The entire adjustment process no longer undergoes abrupt changes due to random fluctuations in green energy, avoiding random shocks to the electrochemical reactions during hydrogen production. This significantly suppresses the decrease in hydrogen purity, ultimately achieving stable and high-purity operation of the hydrogen production system while prioritizing the use of green energy.

[0018] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are merely embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort, and this application can be applied to other similar scenarios based on the provided drawings.

[0020] Figure 1 This is a schematic diagram of the structure of the water electrolysis hydrogen production system provided in the embodiments of this application; Figure 2 A schematic flowchart illustrating the control method of the water electrolysis hydrogen production system provided in the embodiments of this application; Figure 3 A schematic diagram of the control device for the water electrolysis hydrogen production system provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0021] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. 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 inventive effort are within the scope of protection of this application.

[0022] It should be noted that the terms "system," "device," "unit," and / or "module" used in this application are methods of distinguishing different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they can be replaced by other expressions.

[0023] Hereinafter, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include one or more of that feature.

[0024] With the increasing urgency of addressing global climate change, the installed capacity of green energy sources such as wind power and photovoltaics continues to expand. Utilizing green energy to generate electricity to drive water electrolysis to produce "green hydrogen," and then synthesizing low-carbon chemical products such as green ammonia and green methanol, has become an important technological path to achieve carbon neutrality. Green hydrogen has extremely low carbon emissions throughout its entire life cycle, offering significant environmental advantages compared to traditional methods of hydrogen production using fossil fuels such as grid electricity. Therefore, in the hydrogen production process, priority should be given to using green energy sources for power supply, minimizing or avoiding the use of non-green energy sources such as grid electricity to ensure the "green" nature of hydrogen energy.

[0025] However, green energy is characterized by randomness and volatility; for example, second-level changes in wind speed and the "cloud shadow effect" of photovoltaics can cause frequent fluctuations in the power supply load of green energy. If the frequently fluctuating power supply load is directly used for the water electrolysis hydrogen production system, the operating power of the water electrolysis hydrogen production system will have to change frequently with the power supply load. Consequently, the frequent adjustment of the operating power of the electrolyzer 1011 causes repeated abrupt changes in current density, disrupting the stable state of the electrochemical reaction during hydrogen production, thus leading to a significant decrease in hydrogen purity. At the same time, the frequent adjustment of the operating power of the electrolyzer 1011 will also accelerate the aging of key components such as the diaphragm and electrodes of the electrolyzer 1011, shorten the lifespan of the hydrogen production equipment 101, and increase operation and maintenance costs.

[0026] Furthermore, the water electrolysis hydrogen production system in the relevant technology also has the following specific drawbacks: First, the system suffers from strong model dependence and poor dynamic adaptability. Existing water electrolysis hydrogen production systems are typically controlled based on precise mechanistic models or data-driven models, resulting in high modeling costs and long development cycles. Furthermore, the dynamic characteristics of both wind and solar power output and the electrolyzer 1011 exhibit strong nonlinearity and time-varying properties, leading to model mismatch and reduced control effectiveness. For example, wind and solar power forecasts are limited by factors such as the accuracy of meteorological data and the operating status of the hydrogen production equipment 101, making forecast errors unavoidable. This results in a mismatch between load adjustment commands and actual adjustable capacity, leading to problems such as overshoot, oscillation, or response lag.

[0027] Second, there is an over-reliance on insufficiently accurate wind and solar power load forecasting data. Wind and solar power load forecasting systems typically update only every 15 minutes, making it difficult to capture load fluctuations at the minute or even second level. Furthermore, aging of the hydrogen production equipment 101 and sensor drift further amplify the errors in wind and solar power load forecasting. If the control strategy of the water electrolysis hydrogen production system relies excessively on such wind and solar power load forecasting data, it will lead to frequent switching of the system's operating state, affecting the lifespan of the hydrogen production equipment 101 and the economic efficiency of the water electrolysis hydrogen production system.

[0028] To address at least one of the aforementioned technical problems, embodiments of this application provide an electrolytic water hydrogen production system and its control method, apparatus, and electronic equipment. Figure 1 This is a schematic diagram of the structure of the water electrolysis hydrogen production system provided in an embodiment of this application. Figure 1 As shown, the system includes a hydrogen production device 101, a green energy power supply device 1021, a green energy interaction unit 103, a proportional-integral-derivative (PID) controller 104, and a load distribution unit 105.

[0029] Hydrogen production equipment 101 includes at least one electrolyzer 1011 for producing hydrogen by electrolysis of water; The green energy power supply device 1021 is electrically connected to the hydrogen production device 101 and is used to provide green electrical energy to the hydrogen production device 101. The green energy interaction unit 103 is electrically connected to the green energy power supply equipment 1021, the hydrogen production equipment 101, and the PID controller 104, respectively. It is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment 1021, as well as the real-time total power load of the hydrogen production equipment 101. Based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend, it generates a target set value for the real-time total power load and outputs it to the PID controller 104. The PID controller 104 is electrically connected to the green energy interaction unit 103 and the load distribution unit 105 respectively, and is used to generate and send load adjustment commands to the load distribution unit 105 based on the deviation between the target set value and the real-time total power load. The load distribution unit 105 is electrically connected to the PID controller 104 and the hydrogen production equipment 101, respectively. It is used to convert the load adjustment command into a power control command for the electrolyzer 1011 according to the adjustable power range of at least one electrolyzer 1011 of the hydrogen production equipment 101; and to send the power control command to the corresponding electrolyzer 1011 to adjust the operating power of each electrolyzer 1011 so that the real-time total power load approaches the target set value.

[0030] In some embodiments, the green energy interaction unit 103 can achieve the above functions in a variety of ways. For example, the green energy interaction unit 103 can receive the predicted power curve for a future period from the local or cloud-based prediction system of the green energy power supply equipment 1021, and obtain the predicted trend of green power supply load change (rising, falling, or remaining stable) through differential calculation. At the same time, the green energy interaction unit 103 can collect or calculate the total power load of the hydrogen production equipment 101 in real time by communicating with the power metering device in the hydrogen production equipment 101 or with the power monitoring module of each electrolyzer 1011.

[0031] In some embodiments, the green energy interaction unit 103 compares the predicted green power supply load with the real-time total power load. If the predicted green power supply load is greater than the real-time total power load, and the predicted green power supply load is in an upward phase, it is determined that the green energy supply is sufficient and gradually increasing. In this case, the target value of the real-time total power load can be set to a value that increases at a certain rate based on the current real-time total power load until a preset upper limit of the total power load is reached. This is to increase hydrogen production output and efficiency by increasing the total power load based on the sufficient green energy supply. If the predicted green power supply load is less than the real-time total power load, and the predicted green power supply load is in a downward phase, it is determined that the green energy supply is insufficient and gradually decreasing. In this case, the target value of the real-time total power load can be set to a value that decreases at a certain rate based on the current real-time total power load until a preset lower limit of the total power load is reached. This is to ensure the "green" attribute of hydrogen production by reducing the total power load based on the insufficient green energy supply.

[0032] In other examples, the green energy interaction unit 103 may also introduce auxiliary parameters such as the confidence interval for predicting green power supply load, historical error correction coefficient, or the maximum adjustable capacity of the hydrogen production equipment 101 to dynamically adjust the generation of the target setpoint.

[0033] In other examples, the green energy interaction unit 103 can also employ a mapping-based method, mapping different target setpoint change behaviors based on different combinations of the predicted relationship between the green power supply load and the real-time total power load, as well as different trends in green power supply load changes. Furthermore, during actual control, the corresponding target setpoint can be determined by querying the mapping relationship.

[0034] In this way, the target setpoint output by the green energy interaction unit 103 does not directly follow the instantaneous fluctuations of green energy, but is a constrained, gradually changing target setpoint generated based on the predicted relationship between the green power supply load and the real-time total power load and the changing trend of the green power supply load. This avoids frequent adjustment behavior caused by the random fluctuations of green energy, thereby improving the purity of hydrogen.

[0035] In some embodiments, the PID controller 104 receives the target setpoint output by the green energy interaction unit 103 and collects the real-time total power load of the hydrogen production equipment 101 as feedback, calculates the deviation between the two, and then generates a load adjustment command according to the proportional, integral, and derivative control laws. Specifically, the PID controller 104 uses a feedback control algorithm to continuously calculate the "error," that is, the difference between the expected value (target setpoint) and the actual measured value of the controlled object (real-time total power load), and applies correction actions to make the system output reach the expected value as accurately and quickly as possible.

[0036] The output of the PID controller 104 is the sum of three terms: u(t) = Kp e(t)+Ki ∫e(t)dt+Kd (de(t) / dt); Where u(t) is the output of the PID controller 104, e(t) is the error signal (expected value - measured value), Kp is the proportional gain, Ki is the integral gain (often written as Kp / Ti, where Ti is the integral time), and Kd is the derivative gain (often written as Kp). Td, where Td is the differential time.

[0037] The desired control effect can be achieved by adjusting the three parameters Kp, Ki, and Kd (PID parameter tuning). For example, Kp, Ki, and Kd can be tuned according to the response characteristics of the hydrogen production equipment 101 and the fluctuation characteristics of green energy to adapt to different operating conditions. The specific parameter tuning process is existing technology and will not be described in detail here.

[0038] In some embodiments, the load distribution unit 105 receives a load adjustment command (the load adjustment command represents the value that the real-time total power load should increase or decrease or the value that the real-time total power load should reach) issued by the PID controller 104, and converts the load adjustment command into a specific power control command for each electrolyzer 1011 according to the adjustable power range of each electrolyzer 1011 in the hydrogen production equipment 101.

[0039] For example, the load allocation unit 105 first obtains the current operating power, maximum allowable power, minimum stable power, and safety constraints such as temperature, pressure, and hydrogen purity of each electrolyzer 1011, and calculates the upward and downward adjustable capacity of each electrolyzer 1011. Then, the load allocation unit 105 decomposes the total adjustment amount of the real-time total power load into the power load adjustment amount of each electrolyzer 1011 according to a preset allocation strategy (e.g., proportional allocation, priority allocation, efficiency-optimal allocation, or lifetime-balanced allocation), and generates power control commands corresponding to each electrolyzer 1011.

[0040] For example, when an increase in the total real-time power load is required, the load allocation unit 105 can prioritize allocating the incremental real-time power load to electrolyzers 1011 with lower current operating power, lower temperature, or higher hydrogen purity; when a decrease in the total real-time power load is required, the load reduction is prioritized for electrolyzers 1011 with higher current operating power, larger adjustable capacity, or close to the safety limit. The allocation strategy can be static or dynamically adjusted according to the real-time status of each electrolyzer 1011. The load allocation unit 105 sends the final power control command to the corresponding electrolyzer 1011, driving it to adjust its operating power, thereby bringing the total real-time power load of the entire hydrogen production equipment 101 closer to the target set value given by the green energy interaction unit 103.

[0041] Through the coordinated operation of the green energy interaction unit 103, PID controller 104 and load distribution unit 105, the water electrolysis hydrogen production system can effectively suppress frequent power fluctuations caused by random fluctuations in green energy, maintain the current density of the electrolyzer 1011, and thus ensure the purity of hydrogen and extend the life of the hydrogen production equipment 101, while giving priority to the use of green energy.

[0042] In some embodiments, the green energy interaction unit 103 is configured as follows: When the predicted green power supply load is greater than the real-time total power load, and the green power supply load is in the rising phase, the target setpoint is increased by the first linear ramp. When the predicted green power supply load is less than the real-time total power load, and the green power supply load is in a decreasing phase, the target setpoint is reduced by the second linear ramp. The slope of the second linear slope is greater than the slope of the first linear slope.

[0043] In some embodiments, the green energy interaction unit 103 acquires the predicted green power supply load and its changing trend in real time, as well as the real-time total power load of the hydrogen production equipment 101. When the predicted green power supply load is greater than the real-time total power load, and the predicted green power supply load is in an upward phase, the green energy interaction unit 103 gradually increases the target setpoint with a first linear ramp (i.e., a first constant rate), so that the target setpoint rises smoothly from the current value to the first target value. The slope of the first linear ramp is small, thereby limiting the rate of change of the target setpoint. When the predicted green power supply load is less than the real-time total power load, and the predicted green power supply load is in a downward phase, the green energy interaction unit 103 gradually decreases the target setpoint with a second linear ramp (i.e., a second constant rate), so that the target setpoint drops rapidly from the current value to the second target value. The slope of the second linear ramp is greater than the slope of the first linear ramp, thereby achieving a rapid downward adjustment of the target setpoint.

[0044] Through the aforementioned asymmetric "slow rise, fast fall" strategy, when the output of green energy increases, the target setpoint rises slowly, and the actual total power load of the hydrogen production equipment 101 increases gradually, which helps maintain the stability of the current density and hydrogen purity of the electrolyzer 1011. When the output of green energy decreases, the target setpoint drops rapidly, and the actual total power load of the hydrogen production equipment 101 can follow suit in a timely manner. This avoids the automatic disconnection of non-green energy sources such as grid power to make up for the total power load due to load response lag, thereby maximizing the use of green energy to power the water electrolysis hydrogen production system, ensuring the "green" attribute of hydrogen production, and reducing electricity costs.

[0045] In some embodiments, the slopes of the first linear ramp and the second linear ramp can be preset fixed values, or they can be dynamically adjusted according to the fluctuation range of green energy, the maximum adjustment rate of the hydrogen production equipment 101, or historical operating data. For example, when green energy fluctuates drastically, the slope of the first linear ramp can be further reduced to increase the smoothness of the rising phase; when the grid disconnection frequency is high, the slope of the second linear ramp can be increased to accelerate the descent response speed.

[0046] In some embodiments, the water electrolysis hydrogen production system provided in this application further includes a mains power supply device 1022 and a mains power suppression unit 106.

[0047] The mains power supply equipment 1022 is electrically connected to the hydrogen production equipment 101 and the mains power suppression unit 106 respectively, and is used to provide mains power to the hydrogen production equipment 101. The mains power suppression unit 106 is electrically connected to the mains power supply equipment 1022, the green energy interaction unit 103, and the load distribution unit 105, respectively. It is used to detect whether the mains power supply equipment 1022 is supplying power to the hydrogen production equipment 101, and to obtain the real-time total power load and the predicted green power supply load from the green energy interaction unit 103. When the real-time total power load is greater than the predicted green power supply load and the mains power supply equipment 1022 is supplying power, it generates a load reduction command and sends it to the load distribution unit 105. Accordingly, the load distribution unit 105 is also used to convert the load reduction instruction into a power reduction control instruction for at least one electrolytic cell 1011 according to the load reduction instruction; and to send the power reduction control instruction to the corresponding electrolytic cell 1011 to reduce the operating power of the electrolytic cell 1011 until the real-time total power load is not greater than the predicted green power supply load, and then control the mains power supply equipment 1022 to stop supplying power.

[0048] In some embodiments, when the mains power suppression unit 106 detects that the mains power supply device 1022 is supplying power and the real-time total power load is greater than the predicted green power supply load, it determines that the current green energy power supply is insufficient to meet the hydrogen production demand, and the mains power is making up the gap. In order to suppress dependence on mains power and ensure the green attributes of hydrogen production, the mains power suppression unit 106 then generates a load reduction command; After receiving a load reduction command, the load distribution unit 105 converts the load reduction command into a power reduction control command for at least one electrolyzer 1011 and sends it to the corresponding electrolyzer 1011 to reduce the operating power of the corresponding electrolyzer 1011. The mains power suppression unit 106 or the load distribution unit 105 continuously monitors, or obtains from the green energy interaction unit 103, the relationship between the real-time total power load and the predicted green power supply load. When the real-time total power load decreases to no greater than the predicted green power supply load, green energy can independently meet the hydrogen production demand. At this time, the mains power supply equipment 1022 is controlled to stop supplying power (e.g., by cutting off the mains power supply circuit or sending a stop power supply signal), thereby restoring the mode of being powered only by green energy. When the load distribution unit 105 executes the load reduction command, the description of the load distribution unit 105 executing the load adjustment command described above can be referred to, and will not be repeated here.

[0049] Through the coordinated operation of the mains power suppression unit 106 and the load distribution unit 105, the system can proactively reduce the load on the hydrogen production equipment 101 when there is a temporary shortage of green energy, thus avoiding long-term reliance on mains power, ensuring the green attributes of hydrogen production, and reducing electricity costs.

[0050] In some embodiments, the green energy interaction unit 103 includes a data acquisition module, a weight configuration module, and a load forecasting module; The data acquisition module is used to acquire the first-period predicted power generation load, the second-period predicted power generation load, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment 1021; wherein, the duration of the first-period and the second-period are different; The weight configuration module is used to configure different weight values ​​for the first time period predicted power generation load, the second time period predicted power generation load, the real-time power generation load, and the maximum power generation load. The load forecasting unit is used to determine the forecasted green power supply load based on the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the forecasted power generation load of the first time period, the forecasted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

[0051] The first and second time periods have different durations (e.g., the first period is the next 10 days, and the second period is the next 4 hours); the sum of the weights of the predicted power generation load in the first period, the predicted power generation load in the second period, the real-time power generation load, and the maximum power generation load can be equal to 1. The load forecasting unit can perform weighted calculations on the above four types of load data and their corresponding weight values, for example, by multiplying each load by its corresponding weight and then summing the results, thereby determining the predicted green power supply load.

[0052] In some embodiments, real-time power generation load can be obtained from the grid connection point of the green energy power supply equipment 1021, and the maximum power generation load can be set according to the rated capacity or historical maximum output of the hydrogen production equipment 101. The weight configuration module can dynamically adjust according to factors such as season, weather type, and equipment aging level. For example, it can increase the weight of ultra-short-term forecasts under clear, cloudless weather and increase the weight of real-time power generation load under cloudy weather. In this way, the green energy interaction unit 103 can output more accurate predicted green power supply load, providing a reliable basis for the generation of subsequent target setting values.

[0053] In some embodiments, the green energy interaction unit 103 includes: The hydrogen production equipment 101 data acquisition module is used to acquire real-time operating data of each electrolyzer 1011 of the hydrogen production equipment 101; the real-time operating data includes at least one of the following: real-time temperature data, real-time pressure data, real-time current data, real-time voltage data, and real-time hydrogen purity data; The total power load determination module is used to determine the real-time total power load of the hydrogen production equipment 101 based on the operating data of each electrolyzer 1011.

[0054] Specifically, the data acquisition module of the hydrogen production equipment 101 can periodically collect real-time temperature, pressure, current, voltage, and hydrogen purity data from the hydrogen production pipeline of each electrolyzer 1011 through communication with sensors, transmitters, or fieldbuses associated with each electrolyzer 1011. The total power load determination module can determine the instantaneous power of each electrolyzer 1011 by multiplying its real-time current and real-time voltage, and then sum the power of all electrolyzers 1011 to obtain the real-time total power load of the hydrogen production equipment 101. In this way, the green energy interaction unit 103 can accurately and reliably obtain the real-time total power load of the hydrogen production equipment 101, providing real and timely feedback information for the subsequent generation of target setpoints and the adjustment of the PID controller 104.

[0055] In some embodiments, the PID controller 104 is further configured with a lockout module and an anti-integral saturation module; The interlocking module is used to determine whether to prohibit the PID controller 104 from outputting load adjustment commands based on whether the real-time operating data of the hydrogen production equipment 101 exceeds a preset operating data threshold. The interlocking module includes an interlocking increment submodule and an interlocking decrement submodule. The interlocking increment submodule is used to prohibit the PID controller 104 from outputting load adjustment commands that increase the total electrical load when the real-time operating data of the hydrogen production equipment 101 exceeds a first preset operating data threshold. The interlocking decrement submodule is used to prohibit the PID controller 104 from outputting load adjustment commands that decrease the total electrical load when the real-time operating data of the hydrogen production equipment 101 does not exceed a second preset operating data threshold. The anti-integral saturation module is used to prevent the accumulation of the integral term of the PID controller 104 during the period when the lockout module prohibits the PID controller 104 from outputting load regulation commands.

[0056] For example, when the temperature monitoring value of an electrolyzer 1011 exceeds the preset safe temperature limit (first preset threshold), the lockout increase module is triggered, and the load increase command output by the PID controller 104 is blocked. Even if the green energy interaction unit 103 requests an increase in the target setpoint, the PID controller 104 will not perform a power increase operation, thereby preventing the temperature of the electrolyzer 1011 from rising further, which could damage the hydrogen production equipment 101 or reduce the purity of the hydrogen. When the real-time total power load of the hydrogen production equipment 101 is already below the minimum stable operating power (second preset threshold), the lockout decrease module is triggered, and the load decrease command output by the PID controller 104 is blocked, preventing the electrolyzer 1011 from entering an inefficient or unstable operating zone due to excessive load reduction, or even causing the risk of hydrogen-oxygen mixing. During the lockout period, since the real-time total power load cannot respond to changes in the target setpoint, if the integral term in the PID controller 104 continues to accumulate, it will produce a serious integral saturation phenomenon. At this time, the anti-integral saturation module prevents the further accumulation of the integral term. In this way, when the lockout condition is released, the output of the PID controller 104 can smoothly recover from the current actual situation, without causing a drastic output jump due to integral saturation.

[0057] For example, the first preset operating data thresholds include a temperature threshold (e.g., 90℃), a pressure threshold (e.g., 1.6MPa), a current density threshold (e.g., 0.8A / cm²), or a lower limit for hydrogen purity (e.g., 99.5%). When any parameter exceeds the corresponding threshold, a lockout increase is triggered. The second preset operating data thresholds include a minimum load threshold (e.g., 30% of rated power) or a minimum current threshold. When the actual load is lower than this threshold, a lockout decrease is triggered.

[0058] In some embodiments, this application also provides a control method for a water electrolysis hydrogen production system, which can be executed by a control device for the water electrolysis hydrogen production system. The control device for the water electrolysis hydrogen production system can be a processor of the water electrolysis hydrogen production system, etc., and the water electrolysis hydrogen production system can be any of the aforementioned water electrolysis hydrogen production systems. Figure 2 This is a schematic flowchart illustrating the control method for the water electrolysis hydrogen production system provided in an embodiment of this application. Figure 2 As shown, the method includes the following steps: Step 201: Obtain the predicted green power supply load and green power supply load change trend of the green energy power supply equipment, and obtain the real-time total power load of the hydrogen production equipment; and generate a target set value for the real-time total power load based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; Step 202: Generate a load adjustment command based on the deviation between the target setpoint and the real-time total power load; Step 203: Based on the adjustable power range of at least one electrolyzer of the hydrogen production equipment, convert the load adjustment command into a power control command for the electrolyzer; and send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value.

[0059] The specific execution process of steps 201 to 203 has been described in detail in the aforementioned embodiments of the water electrolysis hydrogen production system, and will not be repeated here. Unlike the water electrolysis hydrogen production system, where each component, such as the green energy interaction module, PID controller, and load distribution unit, works collaboratively as an independent actuator, the control device of the water electrolysis hydrogen production system, such as the core processor, acts as a single actuator, executing all the steps of the control method.

[0060] In order to implement the control method of the water electrolysis hydrogen production system provided in the embodiments of this application, the embodiments of this application also provide a control device for the water electrolysis hydrogen production system. Figure 3 A schematic diagram of the control device for the water electrolysis hydrogen production system provided in this application embodiment. (See attached diagram.) Figure 3 As shown, the device includes: The target setpoint generation module 301 is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, and to obtain the real-time total power load of the hydrogen production equipment; and to generate a target setpoint for the real-time total power load based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; The load adjustment command generation module 302 is used to generate load adjustment commands based on the deviation between the target set value and the real-time total power load. The power control command generation module 303 is used to convert the load adjustment command into a power control command for the electrolyzer based on the adjustable power range of at least one electrolyzer in the hydrogen production equipment; and to send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value.

[0061] Figure 4 This is a block diagram illustrating an electronic device 400 for implementing the control method of the above-described water electrolysis hydrogen production system according to an exemplary embodiment. For example, the electronic device 400 may be a computer, a personal digital assistant, etc.

[0062] Reference Figure 4The electronic device 400 may include a communication interface 401, capable of interacting with other devices; a processor 402, connected to the communication interface 401 to interact with other devices, used to execute the methods provided by one or more of the above-described technical solutions when running a computer program; and a memory 403, on which the computer program is stored. Specifically, the specific processing operations of the processor 402 can refer to the control method of the water electrolysis hydrogen production system described in the above embodiments of this disclosure.

[0063] Of course, in practical applications, the various components in electronic device 400 are coupled together through bus system 404. It can be understood that bus system 404 is used to realize the connection and communication between these components. In addition to a data bus, bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, in... Figure 4 The general designated all buses as Bus System 404.

[0064] The memory 403 in this embodiment is used to store various types of data to support the operation of the electronic device 400. Examples of such data include any computer program used to operate on the electronic device 400.

[0065] The methods disclosed in the embodiments of this application can be applied to processor 402, or implemented by processor 402. Processor 402 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 402 or by instructions in software form. The processor 402 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 402 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly manifested as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in memory 403. Processor 402 reads the information in memory 403 and, in conjunction with its hardware, completes the steps of the aforementioned method.

[0066] In an exemplary embodiment, the electronic device 400 may be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned method.

[0067] Embodiments of this disclosure also provide a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to execute the control method of the water electrolysis hydrogen production system described in the above embodiments of this disclosure.

[0068] The embodiments of this disclosure also propose a computer program product, including a computer program that, when executed by a processor, implements the control method for the water electrolysis hydrogen production system described in the above embodiments of this disclosure.

[0069] Embodiments of this disclosure also propose a chip including one or more interface circuits and one or more processors; the interface circuits are used to receive signals from the memory of an electronic device and send signals to the processors, the signals including computer instructions stored in the memory, and when the processor executes the computer instructions, causing the electronic device to perform the control method of the water electrolysis hydrogen production system described in the above embodiments of this disclosure.

[0070] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0071] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0072] Any description of operation or method in the flowchart or otherwise described herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or operation, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0073] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processing module, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (control method), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic device, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0074] It should be understood that various parts of the embodiments of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0075] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by instructing related hardware through an operation sequence, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0076] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc.

[0077] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A water electrolysis hydrogen production system, characterized in that, The system includes: Hydrogen production equipment, including at least one electrolyzer for producing hydrogen by electrolysis of water; The green energy power supply equipment is electrically connected to the hydrogen production equipment and is used to provide green electrical energy to the hydrogen production equipment. The green energy interaction unit is electrically connected to the green energy power supply equipment, the hydrogen production equipment, and the PID controller, respectively. It is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, and to obtain the real-time total power load of the hydrogen production equipment. Based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend, it generates the target set value of the real-time total power load and outputs it to the PID controller. The PID controller is electrically connected to the green energy interaction unit and the load distribution unit respectively, and is used to generate and send a load adjustment command to the load distribution unit based on the deviation between the target set value and the real-time total power load. The load distribution unit is electrically connected to the PID controller and the hydrogen production equipment, respectively. It is used to convert the load adjustment command into a power control command for the electrolyzer based on the adjustable power range of at least one of the electrolyzers of the hydrogen production equipment; and to send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The green energy interaction unit includes: The data acquisition module is used to acquire the predicted power generation load for the first time period, the predicted power generation load for the second time period, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment; wherein the durations of the first time period and the second time period are different; The weight configuration module is used to configure different weight values ​​for the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, respectively. The load forecasting unit is used to determine the predicted green power supply load based on the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

2. The system according to claim 1, characterized in that, The green energy interaction unit is configured as follows: When the predicted green power supply load is greater than the real-time total power load, and the green power supply load is in the rising phase, the target set value is increased by a first linear ramp. When the predicted green power supply load is less than the real-time total power load, and the green power supply load is in a decreasing phase, the target set value is reduced by a second linear ramp. The slope of the second linear slope is greater than the slope of the first linear slope.

3. The system according to claim 1, characterized in that, The system also includes: The mains power supply equipment is electrically connected to the hydrogen production equipment and the mains power suppression unit respectively, and is used to provide mains power to the hydrogen production equipment; The mains power suppression unit is electrically connected to the mains power supply equipment, the green energy interaction unit, and the load distribution unit, respectively. It is used to detect whether the mains power supply equipment is supplying power to the hydrogen production equipment, and to obtain the real-time total power load and the predicted green power supply load from the green energy interaction unit. When the real-time total power load is greater than the predicted green power supply load, and the mains power supply equipment is supplying power, it generates a load reduction command and sends it to the load distribution unit. The load distribution unit is further configured to convert the load reduction instruction into a power reduction control instruction for at least one of the electrolytic cells according to the load reduction instruction; and to send the power reduction control instruction to the corresponding electrolytic cell to reduce the operating power of the electrolytic cell until the real-time total power load is not greater than the predicted green power supply load, and then control the mains power supply equipment to stop supplying power.

4. The system according to claim 1, characterized in that, The green energy interaction unit includes: A hydrogen production equipment data acquisition module is used to acquire real-time operating data of each electrolyzer in the hydrogen production equipment; the real-time operating data includes at least one of the following: real-time temperature data, real-time pressure data, real-time current data, real-time voltage data, and real-time hydrogen purity data. The total power load determination module is used to determine the real-time total power load of the hydrogen production equipment based on the operating data of each electrolyzer.

5. The system according to claim 1, characterized in that, The PID controller is also configured with: The interlocking module is used to determine whether to prohibit the PID controller from outputting the load adjustment command based on whether the real-time operating data of the hydrogen production equipment exceeds a preset operating data threshold. An anti-integral saturation module is used to prevent the accumulation of the integral term of the PID controller during the period when the lockout module prohibits the PID controller from outputting the load adjustment command.

6. The system according to claim 5, characterized in that, The interlocking module includes: The latch-up module is used to prevent the PID controller from outputting a load adjustment command that increases the total power load when the real-time operating data of the hydrogen production equipment exceeds a first preset operating data threshold. The lockout sub-module is used to prevent the PID controller from outputting load adjustment commands to reduce the total power load when the real-time operating data of the hydrogen production equipment does not exceed a second preset operating data threshold.

7. A control method for a water electrolysis hydrogen production system, characterized in that, The method includes: The system obtains the predicted green power load and green power load change trend of the green energy power supply equipment, and obtains the real-time total power load of the hydrogen production equipment; and generates a target set value for the real-time total power load based on the relationship between the predicted green power load and the real-time total power load, and the green power load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; Based on the deviation between the target setpoint and the real-time total power load, a load adjustment command is generated; Based on the adjustable power range of at least one of the electrolyzers in the hydrogen production equipment, the load adjustment command is converted into a power control command for the electrolyzer; and the power control command is sent to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The method of obtaining the predicted green power load of green energy power supply equipment includes: The predicted power generation load for the first time period, the predicted power generation load for the second time period, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment are obtained; wherein the durations of the first time period and the second time period are different; Different weight values ​​are assigned to the predicted power generation load for the first time period, the predicted power generation load for the second time period, the real-time power generation load, and the maximum power generation load, respectively. The predicted green power supply load is determined based on the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

8. A control device for a water electrolysis hydrogen production system, characterized in that, The device includes: The target setpoint generation module is used to obtain the predicted green power supply load and the green power supply load change trend of the green energy power supply equipment, and to obtain the real-time total power load of the hydrogen production equipment; and to generate a target setpoint for the real-time total power load based on the relationship between the predicted green power supply load and the real-time total power load, and the green power supply load change trend; wherein, the green energy power supply equipment is used to provide green electricity to the hydrogen production equipment, and the hydrogen production equipment includes at least one electrolyzer for producing hydrogen by electrolysis of water; The load adjustment command generation module is used to generate load adjustment commands based on the deviation between the target set value and the real-time total power load. A power control command generation module is used to convert the load adjustment command into a power control command for the electrolyzer based on the adjustable power range of at least one of the electrolyzers in the hydrogen production equipment; and to send the power control command to the corresponding electrolyzer to adjust the operating power of each electrolyzer so that the real-time total power load approaches the target set value. The target setpoint generation module is specifically used for: The predicted power generation load for the first time period, the predicted power generation load for the second time period, the real-time power generation load, and the maximum power generation load of the green energy power supply equipment are obtained; wherein the durations of the first time period and the second time period are different; Different weight values ​​are assigned to the predicted power generation load for the first time period, the predicted power generation load for the second time period, the real-time power generation load, and the maximum power generation load, respectively. The predicted green power supply load is determined based on the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load, as well as the weights of the predicted power generation load of the first time period, the predicted power generation load of the second time period, the real-time power generation load, and the maximum power generation load.

9. An electronic device, characterized in that, include: A processor and a memory for storing a computer program capable of running on the processor, wherein, when the processor runs the computer program, it performs the method of claim 7.

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