Hydrogen production power supply system based on DC-DC isolated converter and control method
By using DC-DC isolation converter in the drying power system, the operating parameters of the transformer are dynamically adjusted, and the problem of insufficient efficiency and reliability of the drying power system in the existing technology is solved, and efficient and reliable multi-port power supply is achieved.
Patent Information
- Application Number
- CN202411742030.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-02-25
AI Technical Summary
The existing hydrogen production power system has shortcomings in terms of efficiency and stability, especially when powered by multiple ports, it is difficult to ensure energy balance and efficient conversion.
The hydrogen production power system based on DC-DC isolation converter is adopted. Through the combination of DC power module, DC-DC isolation conversion module, electrolytic module and control module, DC-DC conversion of DC voltage is realized, and the operating parameters of the converter are dynamically adjusted according to the working status of the electrolytic module and user needs.
It effectively improves the efficiency and reliability of electrolyzed hydrogen production, realizes energy balance and efficient conversion between multiple ports, reduces energy consumption and improves the robustness of the system.
Smart Images
Figure CN119519441A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of hydrogen production by water electrolysis, and in particular to a hydrogen production power supply system and a control method based on a DC-DC isolated converter. Background Art
[0002] With the intensification of the global energy crisis and the increasing severity of environmental pollution, it has become a top priority to find clean and renewable energy. Hydrogen, as an ideal clean energy carrier, has the advantages of high energy density and low pollution emissions. In the context of current energy transformation and green and low-carbon development, hydrogen production technology has attracted widespread attention as a clean energy production method. However, the existing hydrogen production power supply system still has some shortcomings in terms of efficiency and stability.
[0003] Therefore, how to effectively improve the efficiency and reliability of hydrogen production by water electrolysis has become a problem to be solved. Summary of the invention
[0004] The purpose of this application is to provide a hydrogen production power supply system and control method based on a DC-DC isolated converter, which can solve the problems that the existing hydrogen production power supply system in the prior art still has some shortcomings in efficiency and stability.
[0005] In a first aspect, an embodiment of the present application provides a hydrogen production power supply system based on a DC-DC isolated converter, the system comprising: at least one DC power supply module, a plurality of DC-DC isolated conversion modules, a plurality of electrolysis modules and a control module; Each DC power supply module is connected to each DC-DC isolation type conversion module, and each DC power supply module is used to output a DC voltage to the corresponding DC-DC isolation type conversion module; Each DC-DC isolation conversion module is connected to each electrolysis module and the control module. Each DC-DC isolation conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module. Each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolation conversion module; The control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolated conversion module based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolated conversion module based on the optimization algorithm.
[0006] In a possible implementation of the first aspect, the DC power supply module is one of a hydrogen energy power generation device, a wind energy power generation device, a hydropower generation device, a solar power generation device, a tidal power generation device, a geothermal power generation device, a wave power generation device and an ocean power generation device.
[0007] In a possible implementation of the first aspect, the control module includes a fault detection and processing unit; The fault detection and processing unit is used to detect whether each DC-DC isolated conversion module has a fault. If one or more DC-DC isolated conversion modules are detected to have a fault, the fault processing process is started to isolate the faulty module and reallocate the output tasks of the DC-DC isolated conversion modules that have not failed.
[0008] In a second aspect, an embodiment of the present application provides a control method for a hydrogen production power supply based on a DC-DC isolated converter, which is implemented based on a hydrogen production power supply system based on a DC-DC isolated converter according to any one of the first aspects, and the method includes: Based on each DC power supply module, output DC voltage to the corresponding DC-DC isolation conversion module; Based on each DC-DC isolation conversion module, the DC voltage output by each DC power supply module is DC-DC converted, and the DC voltage after DC-DC conversion is output to the corresponding electrolysis module; Based on each electrolysis module, water is electrolyzed to generate hydrogen and oxygen according to the DC voltage converted by the DC-DC output of the corresponding DC-DC isolation conversion module; Based on the control module, corresponding control signals are generated according to the working status of each electrolysis module and user needs, and the operation of the corresponding DC-DC isolated conversion module is controlled based on each control signal, and the operating parameters of each DC-DC isolated conversion module are dynamically adjusted based on the optimization algorithm.
[0009] In a possible implementation manner of the second aspect, before performing DC-DC conversion on the DC voltage output by each DC power supply module based on each DC-DC isolation conversion module, the method further includes: Initialize each DC-DC isolated conversion module.
[0010] In a possible implementation manner of the second aspect, before generating corresponding control signals based on the control module according to the working status of each electrolysis module and user requirements, the method further includes: The working status of each electrolysis module and the output performance of each DC-DC isolation conversion module are monitored.
[0011] In a possible implementation of the second aspect, the optimization algorithm is a multi-objective particle swarm optimization algorithm; and dynamically adjusting the operating parameters of each DC-DC isolated conversion module based on the optimization algorithm includes: Generate an initial particle population according to the operating power of each DC-DC isolation conversion module in each scheduling period; The inertia weights of the particles in the initial particle population are updated to obtain the variable inertia weights; The speed and position of the particle are updated based on the changed inertia weight to obtain the updated speed and position of the particle; Determine whether the updated maximum number of iterations is met. If the current number of iterations meets the maximum number of iterations, output the global optimal operating parameters; If the current number of iterations does not meet the maximum number of iterations, continue to execute the step of updating the inertia weight and the steps thereafter.
[0012] In a possible implementation manner of the second aspect, before generating the initial particle population according to the operating power of each DC-DC isolated conversion module in each scheduling period, the method further includes: Initialize the parameters and objective function of the multi-objective particle swarm optimization algorithm.
[0013] In a possible implementation manner of the second aspect, generating an initial particle population according to the operating power of each DC-DC isolation conversion module in each scheduling period includes: Starting from the first scheduling period, according to the operation constraints of the initial plurality of DC-DC isolation type conversion modules, determining the operation power range of the plurality of DC-DC isolation type conversion modules in the first scheduling period; Randomly select a value from the operating power range as the initial operating power of the first scheduling period, and calculate the remaining operating power at the end of the first scheduling period; The remaining operating power is used as the initial operating power of the next scheduling period to generate a particle; In this way, multiple particles are obtained, and an initial particle population is generated based on the multiple particles.
[0014] In a possible implementation of the second aspect, updating the inertia weights of particles in the initial particle population to obtain the variable inertia weights includes: The variable inertia weight is calculated based on the initial inertia weight and the final inertia weight. The specific calculation formula is as follows:
[0015] in, represents the change inertia weight, represents the initial inertia weight, represents the termination inertia weight, t represents the current number of iterations, Indicates the maximum number of iterations.
[0016] In a possible implementation of the second aspect, updating the speed and position of the particle based on the variable inertia weight to obtain the updated speed and position of the particle includes: The particle's velocity and position are updated according to the following calculation formula:
[0017] in, represents the inertia weight, and represents the learning factor, and is a random number between [0, 1], Indicates The speed of a particle, Indicates The position of a particle, Indicates The individual extreme value of each particle, Indicates The global extremum of a particle, Indicates the dimension.
[0018] In a possible implementation manner of the second aspect, the method further includes: Based on the fault detection and processing unit, detect whether each DC-DC isolation conversion module has a fault; If a fault is detected in one or more DC-DC isolated conversion modules, the fault handling process is started to isolate the faulty modules and reallocate the output tasks of the DC-DC isolated conversion modules that have not failed.
[0019] In a third aspect, an embodiment of the present application 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, the control method for a hydrogen production power supply based on a DC-DC isolated converter according to any one of the second aspects described above is implemented.
[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the control method of a hydrogen production power supply based on a DC-DC isolated converter according to any one of the second aspects above.
[0021] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the control method of a hydrogen production power supply based on a DC-DC isolated converter according to any one of the second aspects above.
[0022] In the solution of the present application, each DC power supply module is used to output a DC voltage to the corresponding DC-DC isolated conversion module, and each DC-DC isolated conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module; each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolated conversion module; the control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolated conversion module based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolated conversion module based on the optimization algorithm.
[0023] The application scheme can effectively improve the efficiency and reliability of hydrogen production by water electrolysis, and has strong ease of use and practicality.
[0024] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0026] Figure 1 It is a schematic diagram of the overall structure of a hydrogen production power supply system based on a DC-DC isolated converter provided in an embodiment of the present application; Figure 2 It is a schematic diagram of the steps of a control method of a hydrogen production power supply based on a DC-DC isolated converter provided in an embodiment of the present application; Figure 3 It is a flowchart of a multi-objective particle swarm optimization algorithm provided in an embodiment of the present application; Figure 4 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0027] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0028] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or photovoltaic components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, photovoltaic components and / or combinations thereof.
[0029] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0030] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0031] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.
[0032] In addition, in the description of the present application, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.
[0033] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0034] With the intensification of the global energy crisis and the increasing severity of environmental pollution, it has become a top priority to find clean and renewable energy. Hydrogen, as an ideal clean energy carrier, has the advantages of high energy density and low pollution emissions. In the context of current energy transformation and green and low-carbon development, hydrogen production technology as a clean energy production method has received widespread attention.
[0035] However, the existing hydrogen production power supply system still has some shortcomings in terms of efficiency and stability. Especially when it comes to multi-port power supply, how to ensure the energy balance and efficient conversion between each port has become a difficult problem. In the prior art, although there have been some studies and designs on multi-port DC-DC converters, these solutions often fail to balance high efficiency and high reliability.
[0036] Especially in the application of isolated converters, the introduction of isolation components often brings additional energy loss and thermal management problems. Therefore, it is particularly important to develop a new hydrogen production power supply system and control method that can achieve multi-port efficient power supply while ensuring system stability and reliability.
[0037] Therefore, how to effectively improve the efficiency and reliability of hydrogen production by water electrolysis has become a problem to be solved.
[0038] In response to the above-mentioned defects, an embodiment of the present application provides a hydrogen production power supply system based on a DC-DC isolated converter, wherein each DC power supply module is used to output a DC voltage to a corresponding DC-DC isolated conversion module, and each DC-DC isolated conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module; each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolated conversion module; the control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolated conversion module based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolated conversion module based on the optimization algorithm.
[0039] The application scheme can effectively improve the efficiency and reliability of hydrogen production by water electrolysis, and has strong ease of use and practicality.
[0040] The specific process implemented by this application is introduced below through specific embodiments.
[0041] See also Figure 1 , Figure 1 Schematic diagram of the overall structure of the hydrogen production power system based on the DC-DC isolated converter provided in the embodiment of the present application. Figure 1 As shown, the system includes: at least one DC power supply module, a plurality of DC-DC isolation conversion modules 121 - 12n , a plurality of electrolysis modules 131 - 13n and a control module 140 .
[0042] There may be one or more DC power supply modules. Figure 1 There are multiple DC power supply modules 111~11n.
[0043] Each DC power supply module 111~11n is connected to each DC-DC isolation type conversion module 121~12n, and each DC power supply module 111~11n is used to output a DC voltage to the corresponding DC-DC isolation type conversion module 121~12n. Each DC-DC isolation type conversion module 121~12n is connected to each electrolysis module and the control module, and each DC-DC isolation type conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module 111~11n, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module.
[0044] Each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolation conversion module 121~12n. The control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolation conversion module 121~12n based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolation conversion module 121~12n based on the optimization algorithm.
[0045] In some embodiments, the system includes: at least one DC power supply module, at least two DC-DC isolated converter modules, a control system, and an electrolyzer. Each DC-DC isolated converter module includes an input end, an output end, and an isolation transformer. The input end is connected to the DC power supply module, and the output end is used to supply power to the electrolyzer; the control system uses an optimization algorithm to control one or more operations of the at least two DC-DC isolated converter modules according to the working state and requirements of the electrolyzer.
[0046] In some embodiments, the hydrogen production power system includes three DC-DC isolated converter modules and a central control system. Each converter module is connected to the same DC power source and is connected to the electrolyzer through an independent isolation transformer.
[0047] The central control system first initializes all converter modules and sets initial operating parameters according to the preset operating mode. During system operation, the control system continuously monitors the working status of the electrolyzer and the output performance of each converter module.
[0048] Based on the monitored data, the control system uses the built-in optimization algorithm to calculate new operating parameters and sends them to the corresponding converter modules through the communication interface. If a converter module is detected to have a fault, the control system will immediately start the fault handling procedure, isolate the faulty module and reallocate the output tasks of the remaining modules.
[0049] According to one embodiment of the present application, the DC power supply module can be any one of a hydrogen energy power generation device, a wind energy power generation device, a hydropower generation device, a solar power generation device, a tidal power generation device, a geothermal power generation device, a wave power generation device and an ocean power generation device.
[0050] According to one embodiment of the present application, the control module includes a fault detection and processing unit. The fault detection and processing unit is used to detect whether each DC-DC isolation conversion module 121~12n has a fault. If it is detected that one or more DC-DC isolation conversion modules have a fault, the fault processing process is started to isolate the faulty module and reallocate the output tasks of the DC-DC isolation conversion modules that have not failed.
[0051] In one embodiment, the system includes a fault detection and handling mechanism that can maintain stable operation of the system when a single or multiple converter modules fail.
[0052] By providing a high-efficiency hydrogen production power supply system of the above structure, the control system dynamically adjusts the operating parameters of each DC-DC isolated converter module, such as switching frequency, duty cycle, etc., according to the working state and requirements of the electrolyzer, thereby achieving the best power conversion efficiency and minimum energy consumption. When any DC-DC isolated converter module fails, the control system can automatically detect and isolate the faulty module, and adjust the output of other normally working modules at the same time, to ensure the continuous and stable operation of the entire system.
[0053] See also Figure 2 , Figure 2 Schematic diagram of the steps of the control method of the hydrogen production power supply based on the DC-DC isolation converter provided in the embodiment of the present application. The method is implemented according to the hydrogen production power supply system based on the DC-DC isolation converter, such as Figure 2 As shown, the method comprises the following steps: S201 , based on each DC power supply module 111 ˜ 11 n , outputting a DC voltage to the corresponding DC-DC isolation conversion module 121 ˜ 12 n .
[0054] S202 , based on each DC-DC isolation conversion module 121 - 12n , performing DC-DC conversion on the DC voltage output by each DC power supply module 111 - 11n , and outputting the DC voltage after the DC-DC conversion to the corresponding electrolysis module.
[0055] S203 , based on each electrolysis module, water is electrolyzed according to the DC voltage converted by the DC-DC output by the corresponding DC-DC isolation conversion module 121 - 12n to generate hydrogen and oxygen.
[0056] S204, based on the control module, generates corresponding control signals according to the working status of each electrolysis module and user needs, and controls the operation of the corresponding DC-DC isolation conversion modules 121~12n based on each control signal, and dynamically adjusts the operating parameters of each DC-DC isolation conversion module 121~12n based on the optimization algorithm.
[0057] According to an embodiment of the present application, before performing DC-DC conversion on the DC voltage output by each DC power supply module 111 to 11n based on each DC-DC isolation conversion module 121 to 12n, the method further includes: Each DC-DC isolation conversion module 121 - 12n is initialized.
[0058] According to an embodiment of the present application, before generating corresponding control signals based on the control module according to the working status of each electrolysis module and user needs, the method further includes: The working status of each electrolysis module and the output performance of each DC-DC isolation conversion module 121-12n are monitored.
[0059] In some embodiments, at least two converter modules are initialized, the working status of the electrolyzer is monitored, the operating parameters of the converter modules are adjusted according to the optimization algorithm, and a fault management program is executed.
[0060] According to an implementation of the present application, the optimization algorithm is a multi-objective particle swarm optimization algorithm; based on the optimization algorithm, the operating parameters of each DC-DC isolated conversion module 121~12n are dynamically adjusted, including: Generate an initial particle population according to the operating power of each DC-DC isolation conversion module 121-12n in each scheduling period; The inertia weights of the particles in the initial particle population are updated to obtain the variable inertia weights; The speed and position of the particle are updated based on the changed inertia weight to obtain the updated speed and position of the particle; Determine whether the updated maximum number of iterations is met. If the current number of iterations meets the maximum number of iterations, output the global optimal operating parameters; If the current number of iterations does not meet the maximum number of iterations, continue to execute the step of updating the inertia weight and the steps thereafter.
[0061] According to an embodiment of the present application, before generating an initial particle population according to the operating power of each DC-DC isolated conversion module 121-12n in each scheduling period, the method further includes: Initialize the parameters and objective function of the multi-objective particle swarm optimization algorithm.
[0062] According to an implementation of the present application, an initial particle population is generated according to the operating power of each DC-DC isolation conversion module 121-12n in each scheduling period, including: Starting from the first scheduling period, according to the operation constraints of the initial plurality of DC-DC isolation type conversion modules, determining the operation power range of the plurality of DC-DC isolation type conversion modules in the first scheduling period; Randomly select a value from the operating power range as the initial operating power of the first scheduling period, and calculate the remaining operating power at the end of the first scheduling period; The remaining operating power is used as the initial operating power of the next scheduling period to generate a particle; In this way, multiple particles are obtained, and an initial particle population is generated based on the multiple particles.
[0063] According to an implementation of the present application, the inertia weights of particles in the initial particle population are updated to obtain the variable inertia weights, including: The variable inertia weight is calculated based on the initial inertia weight and the final inertia weight. The specific calculation formula is as follows:
[0064] in, represents the change inertia weight, represents the initial inertia weight, represents the termination inertia weight, t Indicates the current iteration number, Indicates the maximum number of iterations.
[0065] In some embodiments, a larger inertia weight is beneficial to global optimization, while a smaller inertia weight is beneficial to local optimization. In order to make the algorithm have better global search ability at the beginning and better convergence effect in the later iteration, a variable inertia weight is used. .
[0066] According to an implementation of the present application, the speed and position of the particle are updated based on the variable inertia weight to obtain the updated speed and position of the particle, including: The particle's velocity and position are updated according to the following calculation formula:
[0067] in, represents the inertia weight, and represents the learning factor, and is a random number between [0, 1], Indicates The speed of a particle, Indicates The position of a particle, Indicates The individual extreme value of each particle, Indicates The global extremum of a particle, Represents the dimensionality (the number of dimensions of the particle).
[0068] In some embodiments, the particle swarm optimization algorithm is specifically as follows: according to the working state and demand of the electrolytic cell, the number of scheduling periods is set as the dimension of the particle, and the operating status values of at least two DC-DC isolated converter modules in each period are set as the value of the corresponding dimension. The speed and position of the particle are updated each iteration. If the speed exceeds the limit, the boundary value is taken. If the position exceeds the limit, it is regenerated. If there is still no feasible solution after a certain number of repetitions, the original value is used.
[0069] The working power of at least two DC-DC isolated converter modules in each time period will affect the hydrogen production in subsequent time periods. First, starting from the first time period, according to the working condition constraints of at least two DC-DC isolated converter modules at the beginning, the power range of at least two DC-DC isolated converter modules in the first time period is determined, and then a value is randomly selected from this range as the initial working power of this section, and the remaining working power at the end of this section is calculated as the initial working power of the next time period. The second time period is the same as the first time period, and so on to generate a particle.
[0070] According to one embodiment of the present application, the method further includes: Based on the fault detection and processing unit, detect whether each DC-DC isolation conversion module 121~12n has a fault; If a fault is detected in one or more DC-DC isolated conversion modules, the fault handling process is started to isolate the faulty modules and reallocate the output tasks of the DC-DC isolated conversion modules that have not failed.
[0071] In some embodiments, a particle swarm optimization algorithm is used to optimize the operating parameters of the system. The algorithm simulates the behavior of bird flocks foraging in nature and searches for the global optimal solution through iteration. The algorithm first randomly generates a set of possible solutions (i.e., the positions of particles), and then evaluates the quality of each solution based on the fitness function. The fitness function is usually associated with the energy efficiency ratio of the system. In the next iteration, the particles will update their positions based on the current optimal solution and their own speed. This process will continue until the preset maximum number of iterations is reached or a satisfactory solution is found.
[0072] Specifically, the scheduling target of the control system is multiple converter modules, where the scheduling of multiple converter modules is a scheduling problem with continuous solution intervals. The multi-objective particle swarm optimization algorithm is used. Please refer to Figure 3 The multi-objective particle swarm optimization algorithm retains the PSO (Particle Swarm Optimization) method of using a simple speed-position model to optimize the entire solution space, and makes the following changes to the selection of individual extreme values and global extreme values: (1) For individual extreme values, the MOPSO algorithm (Multi-Objective Particle Swarm Optimization) randomly selects one of them when it cannot strictly compare which one is better; (2) For global extreme values, the MOPSO algorithm selects in the external archive based on the degree of crowding. The smaller the crowding, the greater the probability of selection.
[0073] By providing the above-mentioned control method of the hydrogen production power supply using the high-efficiency hydrogen production power supply system, an advanced optimization algorithm, such as a particle swarm optimization algorithm, is introduced to optimize the operating parameters of the system in real time, thereby further improving the energy efficiency and economy of the system.
[0074] The control method of the hydrogen production power supply based on the DC-DC isolated converter provided in the embodiment of the present application, each DC power supply module 111~11n is used to output a DC voltage to the corresponding DC-DC isolated conversion module 121~12n, and each DC-DC isolated conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module 111~11n, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module; each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolated conversion module 121~12n; the control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolated conversion module 121~12n based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolated conversion module 121~12n based on the optimization algorithm.
[0075] This application solution introduces advanced optimization algorithms to optimize the system's operating parameters in real time, further improving the system's energy efficiency and economy. By dynamically adjusting the operating parameters of the converter module and using advanced optimization algorithms, fine control of the hydrogen production process is achieved, energy consumption is reduced, and economic benefits are improved. In addition, the system's fault management function ensures that normal production can be maintained even when some equipment fails, enhancing the robustness of the system.
[0076] The system of the present application can realize dynamic power distribution among multiple input ports, thus enhancing the flexibility and adaptability of the system. By optimizing the control strategy, the conversion efficiency of the system is significantly improved, thereby reducing the cost of hydrogen production.
[0077] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0078] See also Figure 4 , Figure 4 Schematic diagram of the structure of the electronic device 4 provided in the embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: at least one processor 401 ( Figure 4 Only one is shown in the figure), a memory 403, and a computer program 402 stored in the memory 403 and executable on at least one processor 401, wherein the processor 401 implements the steps in the above method embodiment when executing the computer program 402.
[0079] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a mobile phone. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 403. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation on the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.
[0080] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware photovoltaic modules, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0081] In some embodiments, the memory 403 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. In other embodiments, the memory 403 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital card (SecureDigital, SD), a flash card (Flash Card), etc. equipped on the electronic device 4. Further, the memory 403 may also include both an internal storage unit of the electronic device 4 and an external storage device. The memory 403 is used to store an operating system, an application program, a boot loader (Boot Loader), data, and other programs, such as program codes of a computer program, etc. The memory 403 may also be used to temporarily store data that has been output or is to be output.
[0082] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, when the present application implements all or part of the processes in the above-mentioned embodiment method, it can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps applied to the above-mentioned method embodiment. Among them, the computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may at least include: any entity or device that can carry the computer program code to the computing device / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, such as USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable storage media cannot be electric carrier signals and telecommunication signals.
[0083] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.
[0084] An embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the steps in the above-mentioned method embodiments.
[0085] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0086] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0087] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. The device / electronic device embodiments described above are merely schematic, and the division of the above modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or photovoltaic components can be combined or integrated into another system, and some features can be ignored and not executed. Another point is that the indirect coupling, direct coupling or communication connection between each other shown or discussed can be an indirect coupling, direct coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0088] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0089] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A hydrogen production power supply system based on a DC-DC isolated converter, characterized in that: The system comprises: at least one direct current power supply module, a plurality of DC-DC isolation conversion modules, a plurality of electrolysis modules and a control module; Each DC power supply module is connected to each DC-DC isolation type conversion module, and each DC power supply module is used to output a DC voltage to the corresponding DC-DC isolation type conversion module; Each DC-DC isolation conversion module is connected to each electrolysis module and the control module, and each DC-DC isolation conversion module is used to perform DC-DC conversion on the DC voltage output by each DC power supply module, and output the DC voltage after DC-DC conversion to the corresponding electrolysis module; Each electrolysis module is used to electrolyze water to produce hydrogen and oxygen based on the DC voltage after DC-DC conversion output by the corresponding DC-DC isolation conversion module; The control module is used to generate corresponding control signals according to the working status of each electrolysis module and user needs, and control the operation of the corresponding DC-DC isolated conversion module based on each control signal, and dynamically adjust the operating parameters of each DC-DC isolated conversion module based on the optimization algorithm.
2. The hydrogen production power supply system based on DC-DC isolation converter according to claim 1 is characterized in that: The DC power supply module is one of a hydrogen energy power generation device, a wind energy power generation device, a hydropower generation device, a solar power generation device, a tidal power generation device, a geothermal power generation device, a wave power generation device and an ocean power generation device.
3. The hydrogen production power supply system based on DC-DC isolation converter according to claim 1 is characterized in that: The control module includes a fault detection and processing unit; The fault detection and processing unit is used to detect whether each DC-DC isolation conversion module has a fault. If it is detected that one or more DC-DC isolation conversion modules have a fault, the fault processing process is started to isolate the faulty module and reallocate the output tasks of the DC-DC isolation conversion modules that have not failed.
4. A control method for a hydrogen production power source based on a DC-DC isolation converter, characterized in that: The hydrogen production power supply system based on the DC-DC isolated converter according to any one of claims 1 to 3 is implemented, and the method includes: Based on each DC power supply module, output DC voltage to the corresponding DC-DC isolation conversion module; Based on each DC-DC isolation conversion module, the DC voltage output by each DC power supply module is DC-DC converted, and the DC voltage after DC-DC conversion is output to the corresponding electrolysis module; Based on each electrolysis module, water is electrolyzed to generate hydrogen and oxygen according to the DC voltage converted by the DC-DC output of the corresponding DC-DC isolation conversion module; Based on the control module, corresponding control signals are generated according to the working status of each electrolysis module and user needs, and the operation of the corresponding DC-DC isolated conversion module is controlled based on each control signal, and the operating parameters of each DC-DC isolated conversion module are dynamically adjusted based on the optimization algorithm.
5. The control method of the hydrogen production power supply based on the DC-DC isolation converter according to claim 4 is characterized in that: Before performing DC-DC conversion on the DC voltage output by each DC power supply module based on each DC-DC isolation conversion module, the method further includes: Initialize each DC-DC isolated conversion module.
6. The control method of the hydrogen production power supply based on the DC-DC isolation converter according to claim 4 is characterized in that: Before generating corresponding control signals based on the control module according to the working status of each electrolysis module and user needs, the method further includes: The working status of each electrolysis module and the output performance of each DC-DC isolation conversion module are monitored.
7. The control method of the hydrogen production power supply based on the DC-DC isolation converter according to claim 4 is characterized in that: The optimization algorithm is a multi-objective particle swarm optimization algorithm; Based on the optimization algorithm, the operating parameters of each DC-DC isolated conversion module are dynamically adjusted, including: Generate an initial particle population according to the operating power of each DC-DC isolation conversion module in each scheduling period; Updating the inertia weights of particles in the initial particle population to obtain variable inertia weights; The speed and position of the particle are updated based on the changed inertia weight to obtain the updated speed and position of the particle; Determine whether the updated maximum number of iterations is met, and if the current number of iterations meets the maximum number of iterations, output the global optimal operating parameters; If the current number of iterations does not meet the maximum number of iterations, the step of updating the inertia weight and subsequent steps are continued.
8. The control method of the hydrogen production power supply based on the DC-DC isolation converter according to claim 7 is characterized in that: Before generating an initial particle population according to the operating power of each DC-DC isolation conversion module in each scheduling period, the method further includes: Initialize the parameters and objective function of the multi-objective particle swarm optimization algorithm.
9. The control method of the hydrogen production power supply based on the DC-DC isolation converter according to claim 7 is characterized in that: According to the operating power of each DC-DC isolated conversion module in each scheduling period, an initial particle population is generated, including: Starting from the first scheduling period, according to the operation constraints of the initial plurality of DC-DC isolation type conversion modules, determining the operation power range of the plurality of DC-DC isolation type conversion modules in the first scheduling period; Randomly select a value from the operating power range as the initial operating power of the first scheduling period, and calculate the remaining operating power at the end of the first scheduling period; Using the remaining operating power as the initial operating power for the next scheduling period, generating a particle; In this way, a plurality of particles are obtained, and the initial particle population is generated based on the plurality of particles.
10. The control method of hydrogen production power source based on DC-DC isolation converter according to claim 7, characterized in that: The inertia weights of the particles in the initial particle population are updated to obtain the variable inertia weights, including: The variable inertia weight is calculated based on the initial inertia weight and the final inertia weight. The specific calculation formula is as follows: in, represents the change inertia weight, represents the initial inertia weight, represents the termination inertia weight, t Indicates the current iteration number, Indicates the maximum number of iterations.
11. The control method of hydrogen production power source based on DC-DC isolation converter according to claim 7, characterized in that: The speed and position of the particle are updated based on the changed inertia weight to obtain the updated speed and position of the particle, including: The particle's velocity and position are updated according to the following calculation formula: in, represents the inertia weight, and represents the learning factor, and is a random number between [0, 1], Indicates The speed of a particle, Indicates The position of a particle, Indicates The individual extreme value of each particle, Indicates The global extremum of a particle, Indicates the dimension.
12. The control method of hydrogen production power source based on DC-DC isolation converter according to claim 4, characterized in that: The method further comprises: Based on the fault detection and processing unit, detect whether each DC-DC isolation conversion module has a fault; If a fault is detected in one or more DC-DC isolated conversion modules, the fault handling process is started to isolate the faulty modules and reallocate the output tasks of the DC-DC isolated conversion modules that have not failed.
13. 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, the control method of the hydrogen production power supply based on the DC-DC isolated converter described in any one of claims 1-12 is implemented.
14. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the control method of a hydrogen production power supply based on a DC-DC isolated converter according to any one of claims 1 to 12 is implemented.