Multi-reactor electrolytic hydrogen production system operation optimization method and system considering efficiency and service life

Abstract

The invention belongs to the technical field of hydrogen production system operation optimization, and provides a multi-reactor electrolytic hydrogen production system operation optimization method and system.The method comprises the steps that the input power of a multi-reactor electrolytic hydrogen production system is divided in a segmented mode from small to large according to the power size, the power is divided into a starting power section, an optimal power section, a rated power section and an overload power section; in each section, based on the SOH (state of health) of the battery, reordering the electrolytic stacks according to the real-time SOH within a set time interval; and according to the sequence of the starting power, the optimal power, the rated power and the overload power, the running power of the electrolytic stacks is calculated in the section in sequence according to the input power of the multi-electrolytic-stack electrolytic hydrogen production system, and power distribution is conducted on the electrolytic stacks according to the running power of the electrolytic stacks. According to the invention, the energy utilization rate is increased, the operation cost is reduced, and the method has important influence on the economy of an electrolytic hydrogen production system.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydrogen production system operation optimization, and in particular relates to a method and system for optimizing the operation of a multi-stack electrolysis hydrogen production system taking efficiency and life into consideration. Background Art

[0002] Hydrogen energy is an important part of the future energy system. It is widely used in chemical, transportation, metallurgy and other fields, and there will be huge demand in the future. However, at present, fossil fuels such as coal and natural gas are usually used to produce hydrogen, mainly blue / gray hydrogen, and the situation of low carbonization and greening is severe. The use of renewable energy such as wind and light for electrolysis to produce hydrogen is a green, pollution-free, zero-carbon emission method for hydrogen production, which can achieve large-scale replacement of basic raw materials such as blue / gray hydrogen. At the same time, in the new power system, the installed capacity of new energy has increased significantly, and large-scale adjustable resources are scarce. The power system faces the dual challenges of new energy consumption and system safety. Through the production of hydrogen by water electrolysis from wind and light, it can support the large-scale consumption of renewable energy power in the new power system, smooth the long-term fluctuations of wind and light, and achieve the balance of cross-temporal regulation resources and long-term power supply and demand of the power grid. In the future, the integration of renewable energy water electrolysis into high-carbon processes will not only be conducive to the high-quality development of renewable energy, but also to the replacement of coal with green hydrogen in industrial processes.

[0003] The technologies that have been widely demonstrated for hydrogen production by water electrolysis mainly include alkaline electrolysis and proton exchange membrane (PEM) electrolysis. In applications, due to the limited scale of single units, multiple single electrolysis stacks are generally used to produce hydrogen. At the same time, the coordination of multiple stacks can also broaden the operating range of the overall electrolysis hydrogen production system. In recent years, the operation control strategy between multiple stacks has become a hot technology for research.

[0004] Conversion efficiency, lifespan, and safety are the key concerns of multi-stack operation control. Commonly used allocation strategies are divided into chain allocation, average allocation, and optimized allocation. The existing optimized allocation strategies have improved hydrogen production compared to chain allocation and average allocation, but lack consideration of lifespan. At the same time, compared to rule-based power allocation, adaptive optimization has poor feasibility and calculation speed.

[0005] The number of starts and stops, overload time, low load time, and variable load operation time are important factors affecting the service life of electrolytic hydrogen production. A rotation strategy is usually used to balance the working time and overload time of the electrolytic stack, reflecting the guarantee of life. However, the real-time performance status of the electrolytic stack is usually rarely considered during the rotation process, and the real-time performance status of the electrolytic stack often varies between monomers, and the performance difference becomes more obvious as the operating time accumulates.

[0006] In summary, hydrogen energy is the key to the future energy system, with wide applications and huge demand, but the current production method relies on fossil fuels, and the challenges of low-carbon and green development are severe. Using renewable energy for electrolysis to produce hydrogen is a green and pollution-free method that can replace traditional hydrogen and support new power systems. Current water electrolysis hydrogen production technologies include alkaline electrolysis and PEM electrolysis, and multi-stack combined hydrogen production is a common method. Operation and control strategies focus on conversion efficiency, life, and safety. Although the current optimization allocation strategy increases hydrogen production, it lacks life considerations. The number of starts and stops, overload time, etc. are important factors affecting life. Although the rotation strategy can balance working time, it rarely considers real-time performance status differences. Summary of the invention

[0007] The purpose of the present invention is to provide a method and system for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency and life, so as to solve the problem that the prior art lacks life considerations, and there are large differences between electrolysis stack cells, resulting in a short electrolysis stack life.

[0008] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life, comprising: The input power of the multi-electrolyzer electrolysis hydrogen production system is divided into four sections according to the power size, from small to large, including starting power, optimal power, rated power and overload power; In each segment, based on the battery health state SOH, the electrolytic stacks are reordered according to the real-time health state within a set time interval; The sorted electrolytic stacks are arranged in the order of starting power, optimal power, rated power and overload power. The operating power of the electrolytic stacks is calculated in the segments according to the input power of the multi-electrolytic stack electrolysis hydrogen production system, and the power of the electrolytic stacks is allocated according to the operating power of the electrolytic stacks.

[0009] Optionally, the input power of the multi-electrolyzer electrolysis hydrogen production system is divided into four sections according to the power size, from small to large, including starting power, optimal power, rated power and overload power, including: The power in the starting power range is less than or equal to 5% of the rated power; the power in the optimal power range is greater than 5% of the rated power and less than or equal to 13% of the rated power; the power in the rated power range is greater than 13% of the rated power and less than or equal to the rated power; the power in the overload power range is greater than the rated power and less than or equal to 120% of the rated power.

[0010] Optionally, in each segment, based on the battery health state SOH, reordering the electrolytic stacks according to the real-time health state within a set time interval includes: The electrolytic stacks are numbered according to their real-time health status, and numbered in sequence according to the degree of health status. The health status is judged again at intervals of a predetermined time period, and the numbering is re-performed to realize the rotation of the electrolytic stacks.

[0011] Optional, characterization of battery state of health SOH: It is characterized by the electrolysis voltage under rated conditions of hydrogen production by electrolysis, as follows

[0012] in is the rated voltage of electrolytic stack i at time t, is the rated voltage of electrolytic stack i at the initial moment, This is the limit of the attenuation ratio that electrolysis can withstand.

[0013] Optionally, the sorted electrolytic stacks are calculated in sequence according to the starting power, optimal power, rated power and overload power, and the operating power of the electrolytic stacks is calculated in sequence according to the input power of the multi-electrolytic stack electrolysis hydrogen production system in the segment, including: At the starting power, n electrolytic hydrogen production units are not enough to start all of them. , increase the number of electrolytic stacks to be started, define the amount of hydrogen produced by the electrolytic stacks to be started as a, electrolytic stacks 2 to a all operate at the starting power, electrolytic stack 1 bears the remaining power, and the operating power of each electrolytic stack is calculated according to the following formula:

[0014] At the optimal power, n electrolytic hydrogen production units are sufficient to start all of them, but not enough to run all of them at the optimal power point. , the number of electrolytic stacks operating at the optimal power point is maximized, and the number of electrolytic hydrogen produced at the optimal power point is defined as b. Electrolytic stacks 1 to b all operate at the optimal power, electrolytic stacks b+2 to n operate at the starting power, and electrolytic stack b+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula:

[0015] At rated power, n electrolytic hydrogen production units all meet the optimal power operation. , the number of electrolytic stacks operating at non-optimal power is minimized, the number of electrolytic hydrogen produced at rated power is defined as c, electrolytic stacks 1 to c all operate at rated power, electrolytic stacks c+2 to n operate at optimal power, and electrolytic stack c+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula:

[0016] Under overload operation, the n electrolytic hydrogen production units are all running at rated power, which does not meet the total input power requirement. , the number of electrolytic stacks operating at overload power is minimized, and the number of electrolytic hydrogen produced at rated power is defined as d. Electrolytic stacks 1 to d all operate at overload power, electrolytic stacks d+2 to n operate at rated power, and electrolytic stack d+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula: .

[0017] Optionally, the distributing power to the electrolytic stack according to the operating power of the electrolytic stack includes: During operation, first determine whether the input power is greater than the power in the startup power range. If so, start one stack and allocate power to electrolytic stack 1 until the operating power of electrolytic stack 1 reaches 5%P e After that, the excess power is distributed to electrolytic stack 2, and the operating power of electrolytic stack 2 reaches 5%P e , and then distribute the excess power one by one until all the electrolytic stacks are started. After all the stacks have been started, the input power will enter the optimal power range, and then the power will be distributed to electrolytic stack 1 again until the operating power of electrolytic stack 1 reaches 13%P e After that, the excess power is distributed to electrolytic stack 2, and the operating power of electrolytic stack 2 reaches 13%P e , and then distribute the excess power one by one until the operating power of all electrolytic stacks is at 13%P e The power allocation method for the rated power section and the overload power section is similar.

[0018] In a second aspect, the present invention provides a multi-stack electrolysis hydrogen production system operation optimization system taking into account efficiency life, comprising: The power segmentation module is used to segment the input power of the multi-electrolyzer electrolysis hydrogen production system according to the power size, from small to large, into four sections: starting power, optimal power, rated power and overload power; A sorting module is used to re-sort the electrolytic stacks according to the real-time health status within a set time interval based on the battery health status SOH in each segment; The power allocation module is used to calculate the operating power of the electrolytic stack according to the input power of the multi-electrolytic stack electrolysis hydrogen production system in the order of starting power, optimal power, rated power and overload power after the sorting of the electrolytic stacks, and allocate power to the electrolytic stack according to the operating power of the electrolytic stack.

[0019] Optionally, the power in the starting power range is less than or equal to 5% of the rated power; the power in the optimal power range is greater than 5% of the rated power and less than or equal to 13% of the rated power; the power in the rated power range is greater than 13% of the rated power and less than or equal to the rated power; and the power in the overload power range is greater than the rated power and less than or equal to 120% of the rated power.

[0020] In a third aspect, the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life when executing the computer program.

[0021] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency and life.

[0022] Compared with the prior art, the present invention has the following technical effects: The present invention proposes an operation optimization method for a multi-stack electrolysis hydrogen production system taking into account efficiency and life, aiming to solve the problems of low conversion efficiency, short life, and uneven distribution faced by the multi-stack electrolysis hydrogen production system during operation.

[0023] The present invention divides the input power into sections (start-up power, optimal power, rated power, overload power) and dynamically sorts them according to the real-time health status (SOH) of the electrolytic stack, thus achieving reasonable use and life management of the electrolytic stack. This strategy effectively avoids performance degradation caused by long-term overload or frequent start and stop, and prolongs the service life of the electrolytic stack.

[0024] Through a segmented step-by-step chain allocation strategy, the scheme reduces the operation fluctuation and overload time caused by random fluctuations of new energy, thereby reducing performance degradation.

[0025] The present invention optimizes the power output of each electrolytic stack so that it works in the designed optimal power range as much as possible. This power scheduling based on the maximum efficiency point significantly improves the overall efficiency of the system, which not only improves energy utilization, but also reduces operating costs, and has an important impact on the economy of the electrolytic hydrogen production system.

[0026] The present invention aims at the common uneven distribution problem in multi-stack electrolysis hydrogen production system and proposes an improved rotation strategy based on SOH. This strategy achieves the balance of operating status among electrolytic stacks by evaluating the health status of the electrolytic stacks in real time and making dynamic adjustments accordingly. It effectively delays the early termination of the life of individual electrolytic stacks.

[0027] The present invention comprehensively considers multiple objectives such as conversion efficiency, life, and safety during the optimization process, and achieves balance and optimization among multiple objectives through sophisticated power allocation and dynamic management strategies. This comprehensive optimization method improves the overall performance and flexibility of the system, enabling it to better adapt to the random fluctuations and changes of new energy.

[0028] By improving conversion efficiency and extending service life, the operating and maintenance costs of the electrolytic hydrogen production system are reduced. At the same time, since the system can more effectively utilize new energy resources, the economy and sustainability of energy utilization are also improved.

[0029] The proposed method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account the efficiency lifespan effectively solves several key problems faced by the multi-stack electrolysis hydrogen production system during operation through innovative points such as fine power segmentation, dynamic sorting, maximum efficiency point power scheduling, and an improved rotation strategy based on SOH. The application of these technical measures not only improves the overall performance and efficiency of the system, but also extends the service life of the electrolysis stack and reduces the operating cost, which is of great significance to promoting the widespread application and sustainable development of electrolysis hydrogen production technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of the present invention.

[0031] Figure 2 This is the topology of the new energy hydrogen production system composed of multiple electrolytic stacks of the present invention.

[0032] Figure 3 This is a schematic diagram of the startup operation of the present invention.

[0033] Figure 4 This is a schematic diagram of overload operation of the present invention. DETAILED DESCRIPTION

[0034] The present invention is further described below in conjunction with the accompanying drawings: New energy hydrogen production system topology Figure 2 Shown The system mainly uses new energy generators to supply electricity for electrolytic hydrogen production. Through electrolytic hydrogen production, the fluctuating new energy can be consumed locally, reducing the loss of abandoned electricity under grid connection restrictions. When the new energy generation is not enough to meet the hydrogen load demand, hydrogen can also be purchased from the power grid. Electrolytic hydrogen production is connected to the busbar through the power supply. Considering the current limited scale of single electrolytic hydrogen production, multiple electrolytic stacks are used to form a multi-stack electrolytic hydrogen production system for joint hydrogen production.

[0035] Electrolysis conversion efficiency characteristics The present invention takes PEM electrolysis as an example and proposes a multi-stack electrolysis operation strategy. The conversion efficiency of PEM electrolysis shows a trend of first increasing and then decreasing with the increase of power. The present invention sets 13% of the rated power as the optimal power point. At the same time, considering that the performance of each electrolytic stack often differs between monomers, each stack adopts a different efficiency curve.

[0036] Characteristics and constraints of hydrogen production by electrolysis The operating characteristics and safety constraints of PEM electrolysis hydrogen production are as follows: a. Overload characteristics. Electrolysis hydrogen production has a certain overload capacity. The general overload capacity of PEM electrolysis hydrogen production can reach 110%-150% of the rated power. Continuous overload will cause problems such as metamaterial corrosion, ion precipitation, and obstruction of mass transfer in electrolysis hydrogen production, resulting in performance degradation. Therefore, the overload power limit is constrained in the optimized operation, and the overload power limit is 120% of the rated power:

[0037] in is the rated power.

[0038] b. Low-load characteristics. When hydrogen production by electrolysis is operated at low power, the hydrogen content in oxygen increases, which brings safety risks. Generally, the low-load limit of hydrogen production by PEM electrolysis is 5% of the rated power:

[0039] c. Load-changing characteristics. When hydrogen production by electrolysis changes load rapidly, a large number of bubbles are generated in the reactor and are difficult to discharge, which hinders mass transfer and heat transfer. It is also easy to cause local overheating, leading to structural distortion and damage of the equipment. Therefore, the load-changing rate is limited:

[0040] d. Start-stop characteristics. The hot start time of PEM electrolysis hydrogen production is in the order of seconds. Frequent start-stop will accelerate the performance degradation of electrolysis hydrogen production. Therefore, the number of start-stops in a day is restricted.

[0041] See also Figure 1 Embodiment 1: The present invention provides a method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency and life, comprising: The input power of the multi-electrolyzer electrolysis hydrogen production system is divided into four sections according to the power size, from small to large, including starting power, optimal power, rated power and overload power; In each segment, based on the battery health state SOH, the electrolytic stacks are reordered according to the real-time health state within a set time interval; The sorted electrolytic stacks are arranged in the order of starting power, optimal power, rated power and overload power. The operating power of the electrolytic stacks is calculated in the segments according to the input power of the multi-electrolytic stack electrolysis hydrogen production system, and the power of the electrolytic stacks is allocated according to the operating power of the electrolytic stacks.

[0042] The present invention divides the input power into four sections: starting power, optimal power, rated power and overload power, and can perform refined management according to the characteristics of different power sections. This segmentation strategy helps to avoid the electrolytic stack from operating under inefficient or unstable conditions, thereby improving the efficiency of the overall system.

[0043] Real-time sorting and power allocation: Real-time sorting based on battery health status (SOH) can ensure that electrolytic stacks with better performance operate in higher power ranges, while electrolytic stacks with slightly lower performance operate in lower power ranges. This strategy helps to maximize the performance of each electrolytic stack, reduce unnecessary energy loss, and further improve system efficiency.

[0044] Through power segmentation and real-time sequencing, the operating time of the electrolytic stack under overload or underload conditions can be effectively reduced. Overload operation will accelerate the wear and aging of the electrolytic stack, while underload operation may lead to low energy conversion efficiency. Therefore, reducing the occurrence of these two conditions through optimization strategies will help extend the service life of the electrolytic stack.

[0045] The SOH-based sorting and power allocation strategy ensures that each electrolytic stack is used evenly within a set time interval. This helps avoid premature aging of some electrolytic stacks due to overuse, thereby extending the service life of the entire system.

[0046] Through sophisticated power management and real-time health status monitoring, potential problems can be discovered and dealt with in a timely manner, thereby improving the reliability and stability of the system. This is of great significance for ensuring the continuous supply of hydrogen.

[0047] In summary, the multi-stack electrolysis hydrogen production system operation optimization method taking into account efficiency and life achieves dual optimization of efficiency and life of the electrolysis hydrogen production system through fine power segmentation, real-time sorting based on SOH, and dynamic power allocation strategy. This not only helps to improve the overall economy of the system, but also provides strong support for the widespread application of electrolysis hydrogen production technology.

[0048] Embodiment 2, the present invention provides a method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life, specifically comprising: Four-stage optimization operation strategy for hydrogen production by electrolysis The present invention takes into account objectives such as lifespan, conversion efficiency, and safety constraints, and formulates an optimized operation strategy for multi-stack electrolysis based on the characteristics of hydrogen production by comprehensive electrolysis.

[0049] Four power stages are set to gradually distribute the number of electrolytic cells opened and their input power. Stage 1 power is 5% of the rated power, i.e., the starting power; stage 2 power is 13% of the rated power, i.e., the optimal power; stage 3 power is the rated power; stage 4 power is 120% of the rated power, i.e., the overload power.

[0050] During operation, first determine whether the input power is greater than the 1st stage power (5%). If so, start a stack and allocate it to stack 1. The excess power is allocated to stack 2. If it exceeds 5% of stack 2, the excess power will be allocated one by one. That is, all stacks are started first to reduce the frequent start and stop caused by the increase in power. If all stacks have been started, use a similar method to gradually operate stack 1 and stack 2 at rated power in order, so that as many stacks as possible are operated at rated power. The power levels 3 and 4 are similar.

[0051] Assuming the total operating power of multiple stacks for hydrogen production by electrolysis There are n electrolytic cells, each with a rated power of , based on the total operating power of multiple stacks for hydrogen production by electrolysis The size is divided into 4 scenarios: Starting power In this scenario, n electrolytic hydrogen production units are not enough to start up, that is, In order to reduce the number of starts and stops, the operation strategy tries to increase the number of electrolysis started. The number of electrolysis hydrogen production started is defined as a. Electrolysis stacks 2 to a are all operated at the starting power, and electrolysis stack 1 bears the remaining power to avoid electrolysis stacks working outside the safety constraints. The operating power of each electrolysis stack is calculated according to the following formula:

[0052] Optimum power operation In this scenario, n electrolytic hydrogen production units are sufficient to start up, but not enough to operate at the optimal power point. , the operation strategy allows as many electrolysis as possible to operate at the optimal power point. The number of electrolysis hydrogen produced at the optimal power point is defined as b, electrolysis stacks 1 to b all operate at the optimal power, electrolysis stacks b+2 to n still operate at the starting power, and electrolysis stack b+1 bears the remaining power. The operating power of each electrolysis stack is calculated according to the following formula:

[0053] Rated power operation In this scenario, n electrolytic hydrogen production units can all meet the optimal power operation, but there is still surplus power to be allocated, and the surplus power can be met without overloading, that is, , the operation strategy allows as few electrolytic stacks as possible to operate at non-optimal power. Define the number of electrolytic hydrogen productions operating at rated power as c, electrolytic stacks 1 to c all operate at rated power, electrolytic stacks c+2 to n still operate at optimal power, and electrolytic stack c+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula:

[0054] Overload power operation In this scenario, if n hydrogen electrolysis units are operated at rated power, it is still insufficient to meet the total input power demand, that is, The operation strategy is to make as few electrolytic stacks as possible operate at overload power. The number of electrolytic hydrogen productions operating at rated power is defined as d. Electrolytic stacks 1 to d all operate at overload power, electrolytic stacks d+2 to n still operate at rated power, and electrolytic stack d+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula:

[0055] (2) Improved rotation strategy based on battery health status SOH In the above strategy, each electrolytic stack operates at startup, optimal, rated, overload or fluctuating power in different scenarios. The electrolytic stack with a forward sequence number is started first and is most likely to be overloaded, and is more likely to have performance degradation. In order to balance the operating status of the electrolytic stack, the present invention proposes an improved rotation strategy based on SOH. During the rotation process, the electrolytic stack is numbered according to the real-time health status of the electrolytic stack, and is numbered in order according to the performance. The best performance is numbered 1. The health status is judged at intervals and renumbered to realize the rotation of the electrolytic stack, so as to prevent the phenomenon that some stacks are scrapped prematurely due to excessive differences between electrolytic stacks.

[0056] It is characterized by the electrolysis voltage under rated conditions of hydrogen production by electrolysis, as follows

[0057] in is the rated voltage of electrolytic stack i at time t, is the rated voltage of electrolytic stack i at the initial moment, This is the limit of the attenuation ratio that electrolysis can withstand.

[0058] The present invention comprehensively considers conversion efficiency, life, safety and other goals, and considers the real-time performance status of the electrolytic stack, and proposes a multi-stack electrolytic hydrogen production power allocation method that matches renewable energy. First of all, multi-stack combined hydrogen production is the current mainstream large-scale hydrogen production method. While improving the limited scale of single electrolytic cells, it greatly broadens the operating range of the overall electrolytic hydrogen production system. However, during the operation of multiple electrolytic stacks, problems such as uneven distribution and low conversion efficiency will arise. The multi-stack electrolytic hydrogen production power allocation method proposed in the present invention effectively solves the above problems.

[0059] In view of the lifespan problem, a four-stage optimized operation design of a multi-stack electrolysis hydrogen production system is proposed to effectively alleviate the performance degradation caused by the random fluctuation operation of matching new energy. This strategy reduces the fluctuation operation and overload operation time through segmented step-by-step chain distribution, avoids frequent start and stop during low power generation, and the cumulative average single-cell voltage decay rate after 8760 hours is 57 μV / h, which is 39.8% lower than the chain distribution and 30.6% lower than the improved average distribution.

[0060] In view of the conversion efficiency problem, the power dispatch design based on the maximum efficiency point has a significant effect on improving the system efficiency. By optimizing the power output of each stack so that it works as much as possible in the designed optimal power range, the results show that the system efficiency is improved by 2.9%-9.2% compared with other power allocation schemes, providing a solution for improving the operating economy and energy utilization of multi-stack electrolysis hydrogen production systems.

[0061] To address the uneven distribution problem, the improved rotation strategy based on SOH proposed in the present invention can reduce the difference of 70 mV in the average single-cell voltage before rotation to 2 mV, thereby achieving a balance in the operating status among the electrolytic stacks and delaying the early termination of the life of individual electrolytic stacks.

[0062] The optimized operation strategy proposed in the present invention effectively alleviates the operation attenuation of the multi-stack electrolysis hydrogen production system during the operation of matching new energy, and improves the system efficiency, which has guiding significance for the actual operation of the multi-stack electrolysis hydrogen production system.

[0063] Based on the provided content, the following is a detailed explanation of the working principle of the present invention: The present invention proposes a multi-stack electrolysis hydrogen production system operation optimization method taking into account efficiency and life, which mainly includes a four-stage optimization operation strategy for electrolysis hydrogen production and an improved rotation strategy based on the battery health status SOH. Its goal is to comprehensively consider conversion efficiency, life and safety objectives to optimize the operation of the multi-stack electrolysis hydrogen production system.

[0064] Four-stage optimization operation strategy for hydrogen production by electrolysis Power range setting: Set 4 power stages and gradually allocate the number of electrolytic cells opened and their input power.

[0065] During operation, first determine whether the input power is greater than the power of stage 1. If so, gradually start the electrolytic stack and distribute the power to reduce frequent start and stop.

[0066] If all the stacks have been started, then as many stacks as possible are gradually operated at rated power in sequence.

[0067] According to the total operating power, it is divided into four scenarios for different power allocations.

[0068] Starting power: When the total power is not enough to start all of them, try to reduce the number of starts and stops and increase the number of electrolytics started.

[0069] Optimal power operation: When the total power is sufficient to start all but insufficient to run all at the optimal power point, allow as many electrolysis units as possible to run at the optimal power point.

[0070] Rated power operation: When the total power meets the optimal power operation and there is surplus power, as few electrolytic stacks as possible are operated at non-optimal power.

[0071] Overload power operation: When the total power exceeds the rated power but is still within the overload power range, let as few electrolytic stacks as possible operate at overload power.

[0072] Improved rotation strategy based on battery health status SOH Since the electrolytic stacks with earlier serial numbers are started first and are most likely to be overloaded and more prone to performance degradation, an improved rotation strategy based on SOH is proposed.

[0073] During the rotation process, the electrolytic stacks are numbered according to their real-time health status. The one with the best performance is numbered 1. The health status is judged at intervals and the numbering is re-performed to realize the rotation of the electrolytic stacks.

[0074] The electrolysis voltage at rated state of hydrogen production by electrolysis is used to characterize SOH.

[0075] The SOH calculation formula takes into account the rated voltage and initial voltage of the electrolytic stack, as well as the limit on the decay rate that the electrolysis can withstand.

[0076] The present invention comprehensively considers the goals of conversion efficiency, life and safety, and reduces the fluctuating operation and overload operation time through segmented and gradual chain distribution, avoiding frequent start and stop during low power generation.

[0077] By optimizing the power output of each stack so that it can work as much as possible in the designed optimal power range, the system efficiency is improved.

[0078] The improved rotation strategy based on SOH achieves the balance of operating status among the electrolytic stacks and delays the premature termination of the life of individual electrolytic stacks.

[0079] The present invention effectively alleviates the performance degradation caused by the random fluctuation operation of matching new energy sources through the four-stage optimized operation strategy of hydrogen production by electrolysis and the improved rotation strategy based on SOH, improves the system efficiency, and has guiding significance for the actual operation of multi-stack hydrogen production systems.

[0080] In yet another embodiment of the present invention, a multi-stack electrolysis hydrogen production system operation optimization system taking into account efficiency life is provided, which can be used to implement the above-mentioned multi-stack electrolysis hydrogen production system operation optimization method taking into account efficiency life. Specifically, the system includes: The power segmentation module is used to segment the input power of the multi-electrolyzer electrolysis hydrogen production system according to the power size, from small to large, into four sections: starting power, optimal power, rated power and overload power; A sorting module is used to re-sort the electrolytic stacks according to the real-time health status within a set time interval based on the battery health status SOH in each segment; The power allocation module is used to calculate the operating power of the electrolytic stack according to the input power of the multi-electrolytic stack electrolysis hydrogen production system in the order of starting power, optimal power, rated power and overload power after the sorting of the electrolytic stacks, and allocate power to the electrolytic stack according to the operating power of the electrolytic stack.

[0081] The division of modules in the embodiments of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present invention may be integrated into one processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0082] In another embodiment of the present invention, a computer device is provided, the computer device comprising a processor and a memory, the memory being used to store a computer program, the computer program comprising program instructions, and the processor being used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in a computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the multi-stack electrolysis hydrogen production system operation optimization method taking into account the efficiency life.

[0083] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the operation optimization method of a multi-stack electrolysis hydrogen production system taking into account the efficiency life in the above embodiment.

[0084] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency and life, characterized in that: include: The input power of the multi-electrolyzer electrolysis hydrogen production system is divided into four sections according to the power size, from small to large, including starting power, optimal power, rated power and overload power; In each segment, based on the battery health state SOH, the electrolytic stacks are reordered according to the real-time health state within a set time interval; The sorted electrolytic stacks are arranged in the order of starting power, optimal power, rated power and overload power. The operating power of the electrolytic stacks is calculated in the segments according to the input power of the multi-electrolytic stack electrolysis hydrogen production system, and the power of the electrolytic stacks is allocated according to the operating power of the electrolytic stacks.

2. The method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life according to claim 1, characterized in that: The input power of the multi-electrolysis hydrogen production system is divided into four sections according to the power size, from small to large, including starting power, optimal power, rated power and overload power, including: The power in the starting power range is less than or equal to 5% of the rated power; the power in the optimal power range is greater than 5% of the rated power and less than or equal to 13% of the rated power; the power in the rated power range is greater than 13% of the rated power and less than or equal to the rated power; the power in the overload power range is greater than the rated power and less than or equal to 120% of the rated power.

3. The method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life according to claim 1, characterized in that: The reordering of the electrolytic stacks according to the real-time health status within a set time interval based on the battery health status SOH in each segment includes: The electrolytic stacks are numbered according to their real-time health status, and numbered in sequence according to the degree of health status. The health status is judged again at intervals of a predetermined time period, and the numbering is re-performed to realize the rotation of the electrolytic stacks.

4. The method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life according to claim 3, characterized in that: Characterization of battery health status SOH: Health status of electrolytic stack i at time t It is characterized by the electrolysis voltage under rated conditions of hydrogen production by electrolysis, as follows: in is the rated voltage of electrolytic stack i at time t, is the rated voltage of electrolytic stack i at the initial moment, This is the limit of the attenuation ratio that electrolysis can withstand.

5. The method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life according to claim 1, characterized in that: The sorted electrolytic stacks are sequentially arranged in the order of starting power, optimal power, rated power and overload power according to the input power P of the multi-electrolytic stack electrolysis hydrogen production system in the segment. total The operating power of the electrolytic stack is calculated, including: At the starting power, n electrolytic stacks are not enough to start all of them. When the number of electrolytic stacks to be started is increased, the number of hydrogen produced by the electrolytic stacks to be started is defined as a, and electrolytic stacks 2 to a are all operated at the starting power, and electrolytic stack 1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula: Where P e is the rated power of the electrolytic stack, P el,1 is the operating power of the battery stack 1; At the optimal power, n electrolytic stacks are sufficient to start all of them, but not enough to run all of them at the optimal power point. When the number of electrolytic stacks operating at the optimal power point is maximized, the number of electrolytic hydrogen production at the optimal power point is defined as b, electrolytic stacks 1 to b all operate at the optimal power, electrolytic stacks b+2 to n operate at the starting power, and electrolytic stack b+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula: At rated power, n electrolytic stacks all meet the optimal power operation. When the number of electrolytic stacks operating at non-optimal power is minimized, the number of electrolytic hydrogen produced at rated power is defined as c, electrolytic stacks 1 to c all operate at rated power, electrolytic stacks c+2 to n operate at optimal power, and electrolytic stack c+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula: Under overload operation, the n electrolytic stacks are all running at rated power which does not meet the total input power requirement. , the number of electrolytic stacks operating at overload power is minimized, and the number of electrolytic hydrogen produced at rated power is defined as d. Electrolytic stacks 1 to d all operate at overload power, electrolytic stacks d+2 to n operate at rated power, and electrolytic stack d+1 bears the remaining power. The operating power of each electrolytic stack is calculated according to the following formula: 。 6. The method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account efficiency life according to claim 1, characterized in that: The method of distributing power to the electrolytic stack according to the operating power of the electrolytic stack includes: During operation, first determine whether the input power is greater than the power in the startup power range. If so, start one stack and allocate power to electrolytic stack 1 until the operating power of electrolytic stack 1 reaches 5%P e After that, the excess power is distributed to electrolytic stack 2, and the operating power of electrolytic stack 2 reaches 5%P e , and then distribute the excess power one by one until all the electrolytic stacks are started; after all the stacks have been started, the input power will enter the optimal power section, and then the power will be distributed to electrolytic stack 1 again until the operating power of electrolytic stack 1 reaches 13%P e After that, the excess power is distributed to electrolytic stack 2, and the operating power of electrolytic stack 2 reaches 13%P e , and then distribute the excess power one by one until the operating power of all electrolytic stacks is at 13%P e The optimal power, rated power section and overload power section power allocation method are the same.

7. A multi-stack electrolysis hydrogen production system operation optimization system taking into account efficiency and life, characterized in that: include: The power segmentation module is used to segment the input power of the multi-electrolyzer electrolysis hydrogen production system according to the power size, from small to large, into four sections: starting power, optimal power, rated power and overload power; A sorting module is used to re-sort the electrolytic stacks according to the real-time health status within a set time interval based on the battery health status SOH in each segment; The power allocation module is used to calculate the operating power of the electrolytic stack according to the input power of the multi-electrolytic stack electrolysis hydrogen production system in the order of starting power, optimal power, rated power and overload power after the sorting of the electrolytic stacks, and allocate power to the electrolytic stack according to the operating power of the electrolytic stack.

8. The multi-stack electrolysis hydrogen production system operation optimization system taking into account efficiency life according to claim 7 is characterized in that: The power in the starting power range is less than or equal to 5% of the rated power; the power in the optimal power range is greater than 5% of the rated power and less than or equal to 13% of the rated power; the power in the rated power range is greater than 13% of the rated power and less than or equal to the rated power; the power in the overload power range is greater than the rated power and less than or equal to 120% of the rated power.

9. A computer 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 steps of the method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account the efficiency life as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing the operation of a multi-stack electrolysis hydrogen production system taking into account the efficiency life as described in any one of claims 1 to 7 are implemented.

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