A capacity planning method and system for a hybrid hydrogen production system taking into account electrolyzer overload operation and life attenuation

Abstract

The present application discloses a capacity planning method and system for a hybrid hydrogen production system that takes into account the overload operation and life decay of an electrolyzer, and relates to the technical field of hydrogen production from new energy sources. The method comprises: constructing a hybrid hydrogen production system, establishing a hydrogen production energy efficiency decay model and a life decay model for the electrolyzer, as well as an operation model of the electrolyzer, an operation model of an energy storage battery, and an operation model of a hydrogen storage tank, and based on the life decay model of the electrolyzer and each of the operation models, establishing a capacity planning mathematical model for the hybrid hydrogen production system that takes into account the overload operation and life decay of the electrolyzer; based on historical output data of new energy sources, historical data of hydrogen load, and historical data of grid-connected power limit ratio, using a genetic algorithm to solve the capacity planning mathematical model for the hybrid hydrogen production system, and determining the optimal capacity planning scheme for the hybrid hydrogen production system. The present application takes into account the effects of overload operation and life decay of the electrolyzer, so that the hybrid hydrogen production system can operate reliably and economically in the long term.

Description

Technical Field

[0001] This application relates to the field of new energy hydrogen production technology, and in particular to a capacity planning method and system for a hybrid hydrogen production system that takes into account overload operation and life decay of the electrolyzer. Background Technology

[0002] Currently, the penetration rate of new energy sources in some parts of China exceeds 80%, making local consumption unsustainable. Hydrogen possesses clean, low-carbon, flexible, and efficient energy attributes. Utilizing new energy sources such as water electrolysis to produce hydrogen is considered a highly promising approach to new energy consumption, and will play a significant role in wind and solar energy integration and the flexible regulation of high-proportion new energy systems.

[0003] Achieving optimal economic capacity matching for hydrogen production systems is a crucial issue that urgently needs to be addressed in the research field of capacity planning for new energy hydrogen production systems. New energy power output is characterized by wide-range and strong fluctuations, especially after the grid imposed power restrictions on the grid connection of new energy hydrogen production systems, resulting in frequent fluctuations between 0% and 100% of the installed capacity of new energy sources. Utilizing the short-term overload operation characteristics of electrolyzers can effectively reduce the capacity planning cost of hydrogen production systems. However, during overload operation, electrolyzers operate at high temperatures, which can easily lead to reduced hydrogen production efficiency and shortened lifespan. Therefore, how to conduct capacity planning for hybrid hydrogen production systems while taking into account the overload operation and lifespan reduction of electrolyzers is a critical issue that urgently needs to be addressed in the research field of new energy hydrogen production systems. Summary of the Invention

[0004] The purpose of this application is to provide a capacity planning method and system for a hybrid hydrogen production system that takes into account the overload operation and life decay of the electrolyzer, while also considering the impact of the overload operation and life decay of the electrolyzer on the hybrid hydrogen production system, thus meeting the long-term reliable operation requirements of the hybrid hydrogen production system.

[0005] To achieve the above objectives, this application provides the following solution:

[0006] In a first aspect, this application provides a capacity planning method for a hybrid hydrogen production system that takes into account overload operation and lifespan degradation of the electrolyzer. The method includes:

[0007] Construct a hybrid hydrogen production system; the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0008] Establish hydrogen production efficiency decay models and lifespan decay models for electrolyzers;

[0009] An operational model for the electrolyzer, an operational model for the energy storage battery, and an operational model for the hydrogen storage tank are established; the operational model for the electrolyzer is constructed based on the hydrogen production energy efficiency decay model of the electrolyzer.

[0010] Based on the electrolyzer's life decay model, electrolyzer's operation model, energy storage battery's operation model, and hydrogen storage tank's operation model, a capacity planning mathematical model for a hybrid hydrogen production system that takes into account electrolyzer overload operation and life decay is established.

[0011] Acquire historical data on renewable energy output, hydrogen load, and grid-connected power limitation ratio of the hybrid hydrogen production system;

[0012] Based on historical power output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio, a genetic algorithm is used to solve the capacity planning mathematical model of the hybrid hydrogen production system that takes into account the overload operation and life decay of the electrolyzer, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

[0013] Secondly, this application provides a capacity planning system for a hybrid hydrogen production system that takes into account the overload operation and lifespan degradation of the electrolyzer. This system is based on the aforementioned capacity planning method for a hybrid hydrogen production system that considers the overload operation and lifespan degradation of the electrolyzer. The system includes:

[0014] A hybrid hydrogen production system construction unit is used to construct a hybrid hydrogen production system; the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer;

[0015] The hydrogen production energy efficiency decay model and lifetime decay model establishment unit is used to establish the hydrogen production energy efficiency decay model and the lifetime decay model of the electrolyzer.

[0016] The operation model establishment unit is used to establish the operation model of the electrolyzer, the operation model of the energy storage battery, and the operation model of the hydrogen storage tank; the operation model of the electrolyzer is constructed based on the hydrogen production energy efficiency decay model of the electrolyzer.

[0017] The capacity planning mathematical model establishment unit for hybrid hydrogen production system is used to establish a capacity planning mathematical model for hybrid hydrogen production system that takes into account the overload operation and life decay of electrolyzers, based on the life decay model of electrolyzers, the operation model of electrolyzers, the operation model of energy storage batteries, and the operation model of hydrogen storage tanks.

[0018] The data acquisition unit is used to acquire historical data on new energy output, hydrogen load, and grid-connected power limitation ratio of the hybrid hydrogen production system.

[0019] The optimal capacity planning scheme determination unit is used to solve the capacity planning mathematical model of the hybrid hydrogen production system, which takes into account the overload operation and life decay of the electrolyzer, based on historical power output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio, using a genetic algorithm, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

[0020] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0021] This application discloses a capacity planning method and system for a hybrid hydrogen production system that takes into account the overload operation and lifespan decay of electrolyzers. By constructing hydrogen production energy efficiency decay models and lifespan decay models for electrolyzers, it fills the gap in the research field of efficiency and lifespan characteristics characterization of electrolyzers under overload operation, which helps guide the rational application of overload operation characteristics in hybrid hydrogen production systems. The proposed capacity planning method for a hybrid hydrogen production system that takes into account the overload operation and lifespan decay of electrolyzers enables electrolyzers to fully utilize their overload operation characteristics, thereby reducing the configuration capacity of electrolyzers and lowering the planning cost of hybrid hydrogen production systems. At the same time, it takes into account the impact of electrolyzer overload operation and lifespan decay, enabling the hybrid hydrogen production system to operate reliably and economically in the long term. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 An application environment diagram of a capacity planning method for a hybrid hydrogen production system that takes into account electrolyzer overload operation and lifespan decay, provided in an embodiment of this application;

[0024] Figure 2 A schematic flowchart of a capacity planning method for a hybrid hydrogen production system that takes into account overload operation and life decay of an electrolyzer, provided in an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of a hybrid hydrogen production system provided in an embodiment of this application;

[0026] Figure 4 A schematic diagram of the functional modules of a hybrid hydrogen production system capacity planning system that takes into account electrolyzer overload operation and lifespan decay, provided in an embodiment of this application;

[0027] Figure label:

[0028] Terminal 102, Server 104, Hybrid Hydrogen Production System Construction Unit 1, Hydrogen Production Energy Efficiency Decay Model and Lifetime Decay Model Establishment Unit 2, Operation Model Establishment Unit 3, Hybrid Hydrogen Production System Capacity Planning Mathematical Model Establishment Unit 4, Data Acquisition Unit 5, Optimal Capacity Planning Scheme Determination Unit 6. Detailed Implementation

[0029] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0030] Among the existing mainstream electrolysis technologies, alkaline (ALK) electrolyzers have low cost but narrow power adjustment range, while proton exchange membrane (PEM) electrolyzers have high cost but strong adjustment flexibility. Combining the two is an important way to balance economy and reliability in new energy hydrogen production systems.

[0031] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0032] In one exemplary embodiment, such as Figure 1 As shown, the capacity planning method for hybrid hydrogen production systems that takes into account electrolyzer overload operation and lifespan degradation provided in this application embodiment can be applied to systems such as... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on another server. Terminal 102 can send the data to be processed to server 104. After receiving the data, server 104 performs capacity planning for the hybrid hydrogen production system to obtain the optimal capacity planning scheme. Server 104 can then feed back the obtained optimal capacity planning scheme to terminal 102. Furthermore, in some embodiments, the capacity planning method for the hybrid hydrogen production system, taking into account electrolyzer overload operation and lifespan degradation, can also be implemented independently by server 104 or terminal 102. For example, terminal 102 can directly process the data to be processed, or server 104 can obtain the data to be processed from the data storage system and perform capacity planning for the hybrid hydrogen production system, taking into account electrolyzer overload operation and lifespan degradation.

[0033] The terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 104 can be implemented using a standalone server or a server cluster composed of multiple servers, or it can be a cloud server.

[0034] In one exemplary embodiment, such as Figure 2 As shown, a capacity planning method for a hybrid hydrogen production system, addressing overload operation and lifespan degradation of the electrolyzer, is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps S1 to S6. Wherein:

[0035] Step S1, construct a hybrid hydrogen production system; such as Figure 3 As shown, the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer.

[0036] Step S2: Establish the hydrogen production efficiency decay model and the life decay model of the electrolyzer.

[0037] As an optional implementation, in step S2, the hydrogen production efficiency decay model of the electrolyzer includes the hydrogen production efficiency decay model of the ALK electrolyzer and the hydrogen production efficiency decay model of the PEM electrolyzer; wherein, the expression of the hydrogen production efficiency decay model of the ALK electrolyzer is:

[0038]

[0039] in, The hydrogen production efficiency of the ALK electrolyzer in time period t; Rated hydrogen efficiency for ALK electrolyzers; The rated hydrogen energy efficiency degradation of the ALK electrolyzer; The hydrogen production efficiency degradation of the ALK electrolyzer during overload operation in time period t is calculated. This indicates the overload operation state of the ALK electrolyzer during time period t; T represents the upper limit of the time value; Δt is the time interval.

[0040] In equation (1), the rated hydrogen efficiency decay of the ALK electrolyzer is... The expression is as follows:

[0041]

[0042] in, The extreme limit hydrogen efficiency before the ALK electrolyzer is decommissioned. This refers to the rated lifespan of the ALK electrolyzer.

[0043] The hydrogen production efficiency degradation of an electrolyzer during overload operation in time period t refers to the decrease in hydrogen production efficiency caused by factors such as high temperature when the electrolyzer is operating under overload power. The hydrogen production efficiency degradation of an ALK electrolyzer during overload operation in time period t is... The expression is as follows:

[0044]

[0045] Where, λ ALK The hydrogen production efficiency degradation coefficient of the ALK electrolyzer under overload operation. This refers to the rated power of the ALK electrolytic cell.

[0046] The expression for the hydrogen production efficiency decay model of the PEM electrolyzer is:

[0047]

[0048] in, The hydrogen production efficiency of the PEM electrolyzer in time period t; Rated hydrogen efficiency for PEM electrolyzers; The rated hydrogen energy efficiency degradation of PEM electrolyzers; The hydrogen production efficiency degradation of the PEM electrolyzer during overload operation in time period t; This indicates the overload operation state of the PEM electrolyzer during time period t.

[0049] In equation (4), the rated hydrogen energy efficiency decay of the PEM electrolyzer is... The expression is as follows:

[0050]

[0051] in, The ultimate limit for hydrogen energy efficiency before the PEM electrolyzer is decommissioned. This refers to the rated lifespan of the PEM electrolyzer.

[0052] The PEM electrolyzer experiences a decrease in hydrogen production efficiency during overload operation in time period t. The expression is as follows:

[0053]

[0054] Where, λ PEM The hydrogen production efficiency degradation coefficient of the PEM electrolyzer under overload operation. This is the rated power of the PEM electrolyzer.

[0055] As an optional implementation, in step S2, the lifespan decay model of the electrolyzer includes the lifespan decay model of the ALK electrolyzer and the lifespan decay model of the PEM electrolyzer; wherein, the expression for the lifespan decay model of the ALK electrolyzer is:

[0056]

[0057] in, Let t be the remaining lifetime of the ALK electrolyzer in time period t; This refers to the rated lifespan of the ALK electrolyzer. This refers to the degradation of the rated lifespan of the ALK electrolyzer. The overload operating life decay of the ALK electrolyzer during period t is given.

[0058] In equation (7), the expression for the rated life decay of the ALK electrolyzer is as follows:

[0059]

[0060] The expression for the overload operating life decay of the ALK electrolyzer in time period t is as follows:

[0061]

[0062] The expression for the life decay model of PEM electrolyzers is:

[0063]

[0064] in, Let t be the remaining lifetime of the PEM electrolyzer in time period t; This refers to the rated lifespan of the PEM electrolyzer. This refers to the degradation of the rated life of the PEM electrolyzer; The overload operating life decay of the PEM electrolyzer during period t is given.

[0065] In equation (10), the expression for the rated life decay of the PEM electrolyzer is:

[0066]

[0067] The expression for the overload operation life decay of the PEM electrolyzer in time period t is:

[0068]

[0069] Step S3: Establish operating models for the electrolyzer, the energy storage battery, and the hydrogen storage tank. The operating model for the electrolyzer is constructed based on the hydrogen production efficiency decay model of the electrolyzer.

[0070] As an optional implementation, in step S3, the operating model of the electrolyzer includes the operating model of an ALK electrolyzer and the operating model of a PEM electrolyzer. The expression for the operating model of the ALK electrolyzer is:

[0071]

[0072] Among them, P t ALK P represents the power of the ALK electrolyzer in time period t. t re,ALK P represents the power output of the new energy generator unit to the ALK electrolyzer during time period t. t grid+,ALK P represents the power output from the power grid to the ALK electrolyzer during time period t. t ch,ALK Let be the power output of the energy storage battery to the ALK electrolyzer during time period t; The hydrogen production efficiency of the ALK electrolyzer in time period t; The mass of hydrogen produced by the ALK electrolyzer in time period t.

[0073] The expression for the operating model of the PEM electrolyzer is:

[0074] P t PEM =P t re,PEM +P t grid+,PEM +P t ch,PEM (15)

[0075] G t h,PEM =η t PEM P t PEM (16)

[0076] Among them, P t PEM P represents the power of the PEM electrolyzer in time period t. t re,PEM P represents the power output of the new energy generator unit to the PEM electrolyzer during time period t; t grid+,PEM P represents the power output from the power grid to the PEM electrolyzer during time period t. t ch,PEM Let be the power output of the energy storage battery to the PEM electrolyzer in time period t; The hydrogen production efficiency of the PEM electrolyzer in time period t; The mass of hydrogen produced by the PEM electrolyzer in time period t.

[0077] The expression for the operating model of energy storage batteries is:

[0078]

[0079] in, Let be the capacity of the energy storage battery in time period t; η represents the capacity of the energy storage battery during the (t-1)th time period. bat,ch The charging efficiency of energy storage batteries; η bat,dis P represents the discharge efficiency of the energy storage battery. t ch P represents the charging power of the energy storage battery during time period t. t dis Δt represents the discharge power of the energy storage battery in time period t; Δt is the time interval.

[0080] The expression for the operating model of the hydrogen storage tank is:

[0081]

[0082] in, Let be the capacity of the hydrogen storage tank in time period t; Let be the capacity of the hydrogen storage tank in the (t-1)th time period; Let be the mass of hydrogen added to the hydrogen storage tank during time period t; η represents the mass of hydrogen released from the hydrogen storage tank during time period t; ht,ch The hydrogen filling efficiency of the hydrogen storage tank; η ht,dis The hydrogen release efficiency of the hydrogen storage tank.

[0083] Step S4: Based on the electrolyzer's lifespan decay model, the electrolyzer's operation model, the energy storage battery's operation model, and the hydrogen storage tank's operation model, establish a capacity planning mathematical model for the hybrid hydrogen production system that takes into account the electrolyzer's overload operation and lifespan decay.

[0084] As an optional implementation, in step S4, the capacity planning mathematical model for the hybrid hydrogen production system, which takes into account the overload operation and lifespan degradation of the electrolyzer, includes an objective function and constraints. The objective function aims to minimize the annual total cost of the hybrid hydrogen production system. The constraints include power balance constraints, hydrogen load constraints, grid-connected power constraints, maximum capacity constraints of the electrolyzer, start-up and shutdown time constraints of the electrolyzer, overload operation time constraints of the electrolyzer, upper and lower power limits constraints of the electrolyzer, ramp-up power constraints of the electrolyzer, maximum capacity constraints of the energy storage battery, operating status constraints of the energy storage battery, upper and lower limits constraints of the charging and discharging power of the energy storage battery, capacity constraints of the energy storage battery, maximum capacity constraints of the hydrogen storage tank, operating status constraints of the hydrogen storage tank, upper and lower limits constraints of the hydrogen charging and discharging mass of the hydrogen storage tank, and capacity constraints of the hydrogen storage tank.

[0085] As an optional implementation, the objective function is as follows:

[0086] minC=C inv +C om (19)

[0087] Where C represents the total annual cost; C inv Annual investment cost; C om Annual maintenance costs;

[0088] The annual investment cost is the sum of the annual investment costs of the ALK electrolyzer, PEM electrolyzer, energy storage battery, and hydrogen storage tank. Annual investment cost C inv The calculation formula is as follows:

[0089]

[0090] in, The annual investment cost of the ALK electrolyzer; The annual investment cost of a PEM electrolyzer; The annual investment cost of energy storage batteries; The annual investment cost of the hydrogen storage tank; This is the unit capacity investment cost coefficient for ALK electrolytic cells; This is the unit capacity investment cost coefficient for PEM electrolyzers; This represents the unit capacity investment cost coefficient for energy storage batteries. E represents the unit capacity investment cost coefficient for hydrogen storage tanks. ALK E represents the capacity of the ALK electrolyzer; PEM E represents the capacity of the PEM electrolyzer; bat E represents the capacity of the energy storage battery. ht L represents the capacity of the hydrogen storage tank; r represents the discount rate; L represents the value of the hydrogen. bat For the lifespan of energy storage batteries; L ht For the service life of the hydrogen storage tank; L ALK For the service life of ALK electrolyzers; L PEM This refers to the service life of the PEM electrolyzer.

[0091] The annual maintenance cost is the sum of the annual maintenance costs of the ALK electrolyzer, PEM electrolyzer, energy storage battery, and hydrogen storage tank; the annual maintenance cost C om The calculation formula is as follows:

[0092]

[0093] in, The annual operation and maintenance cost of the ALK electrolyzer; The annual operation and maintenance cost of the PEM electrolyzer; The annual operation and maintenance cost of energy storage batteries; The annual operation and maintenance cost of the hydrogen storage tank;

[0094]

[0095] in, The unit price of water; Let t be the water consumption of the ALK electrolyzer during period t. Let t be the water consumption of the PEM electrolyzer during period t. The maintenance coefficient per unit capacity of the ALK electrolyzer; α is the maintenance coefficient per unit capacity of the PEM electrolyzer; α is the conversion rate of water to hydrogen. Let t be the hydrogen production rate of the ALK electrolyzer during period t. Let t be the hydrogen production rate of the PEM electrolyzer during period t. The maintenance coefficient per unit capacity of the energy storage battery; This is the maintenance coefficient per unit capacity of the hydrogen storage tank.

[0096] As an optional implementation, the expression for the power balance constraint is:

[0097] P t re +P t grid+ +P t dis =P t ALK +P t PEM +P t grid- (32)

[0098] P t grid+ =P t grid+,ALK +P t grid+,PEM (33)

[0099] Among them, P t grid+ P is the sum of the power output from the grid to the ALK electrolyzer and the PEM electrolyzer during time period t; t grid- P represents the power of renewable energy connected to the grid during time period t. t grid+,ALK P represents the power output from the grid to the ALK electrolyzer during time period t. t grid +,PEM Let be the power output from the power grid to the PEM electrolyzer during time period t.

[0100] The expression for the hydrogen loading constraint is:

[0101]

[0102] in, The hydrogen load of the hybrid hydrogen production system in time period t; The hydrogen load of the ALK electrolyzer during time period t; The hydrogen load of the PEM electrolyzer in time period t; The quality of hydrogen filling for the hydrogen storage tank; The amount of hydrogen released from the hydrogen storage tank.

[0103] In actual operation of a new energy hybrid hydrogen production system, the power grid often limits the grid-connected power of the new energy source. The expression for the grid-connected power constraint is:

[0104]

[0105] in, The variable representing the power output from the power grid to the ALK electrolyzer, PEM electrolyzer, and energy storage battery during time period t; The variable representing the power output to the grid by new energy sources and energy storage batteries in time period t is... λ is a 0-1 variable, where 1 represents the power output from the grid to the ALK electrolyzer, PEM electrolyzer, and energy storage battery; t The limit ratio of grid-connected power in time period t. These are 0-1 variables, where 1 represents the power output from new energy sources and energy storage batteries to the grid.

[0106] As an optional implementation, the expression for the maximum capacity constraint of the electrolytic cell is:

[0107]

[0108] Among them, E ALK E represents the capacity of the ALK electrolyzer; PEM This refers to the capacity of the PEM electrolyzer; This represents the maximum selectable capacity for the ALK electrolyzer. This represents the maximum selectable capacity for the PEM electrolyzer.

[0109] The expression for the start-up and shutdown time constraints of the electrolytic cell is:

[0110]

[0111]

[0112] in, This represents the startup state of the ALK electrolyzer during the (t-1)th time period; The startup state of the ALK electrolyzer in time period t; This represents the startup state of the PEM electrolyzer during the (t-1)th time period; The hydrogen production status of the PEM electrolyzer in time period t; This represents the time during which the ALK electrolytic cell has been continuously running before the t-1 time period; T represents the time during which the ALK electrolyzer has been continuously shut down before time period t-1; ALK,on T is the time required to start up the ALK electrolytic cell. ALK,off The time required to shut down the ALK electrolytic cell; This represents the time during which the PEM electrolyzer has been continuously running before the t-1 time period; T represents the time during which the PEM electrolyzer has been continuously shut down before time period t-1; PEM,on T is the time required to start up a PEM electrolyzer; PEM,off This refers to the time required to shut down the PEM electrolyzer.

[0113] The expression for the overload operating time constraint of the electrolytic cell is:

[0114]

[0115] in, The overload operating state of the ALK electrolyzer during the t-1 time period; The overload operating state of the ALK electrolyzer in time period t; This represents the overload operating state of the PEM electrolyzer during the (t-1)th time period. The overload operating state of the PEM electrolyzer in time period t; This represents the time during which the ALK electrolyzer has been continuously overloaded before the t-1 time period; T represents the time during which the PEM electrolyzer has been continuously overloaded before time period t-1; ALK,over T represents the maximum allowable overload operating time for the ALK electrolyzer; PEM,over This refers to the maximum allowable overload operating time for a PEM electrolyzer.

[0116] The expressions for the upper and lower power limits of the electrolytic cell are:

[0117]

[0118] in, The startup state of the ALK electrolyzer in time period t; The startup state of the PEM electrolyzer in time period t; The minimum rated power factor allowed per unit capacity of ALK electrolyzer; The maximum allowable rated power factor per unit capacity of ALK electrolyzer; This is the minimum allowable rated power factor for a PEM electrolyzer; This represents the maximum allowable rated power factor for a PEM electrolyzer.

[0119] The expression for the ramp-up power constraint of the electrolytic cell is:

[0120]

[0121] in, This represents the maximum ramp-up power coefficient of the ALK electrolyzer; The ramp-up power of the ALK electrolytic cell; This represents the maximum permissible ramp power factor for a PEM electrolyzer. This refers to the ramp-up power of the PEM electrolyzer.

[0122] As an optional implementation, the expression for the maximum capacity constraint of the energy storage battery is:

[0123]

[0124] Among them, E bat The capacity of the energy storage battery; This represents the maximum selectable capacity of the energy storage battery.

[0125] The expression for the operating state constraints of the energy storage battery is:

[0126]

[0127] in, This represents the charging state of the energy storage battery during time period t. This represents the discharge state of the energy storage battery during time period t.

[0128] The expressions for the upper and lower limits of the charging and discharging power constraints of energy storage batteries are as follows:

[0129]

[0130] Among them, P t ch Let be the charging power of the energy storage battery in time period t; P represents the upper limit of the charging power of the energy storage battery in time period t; t dis Let be the discharge power of the energy storage battery in time period t; This represents the upper limit of the discharge power of the energy storage battery during time period t.

[0131] The expression for the capacity constraint of energy storage batteries is:

[0132]

[0133] in, This represents the lower limit of the capacity of the energy storage battery in time period t. Let be the capacity of the energy storage battery in time period t; This represents the upper limit of the capacity of the energy storage battery during time period t.

[0134] As an optional implementation, the expression for the maximum capacity constraint of the hydrogen storage tank is:

[0135]

[0136] Among them, E ht This refers to the capacity of the hydrogen storage tank. This represents the maximum selectable capacity of the hydrogen storage tank.

[0137]

[0138] in, The hydrogen storage tank represents the hydrogen charging status at time t. This represents the hydrogen release state of the hydrogen storage tank during time period t.

[0139] The expressions for the upper and lower limits of hydrogen mass limits for filling and discharging hydrogen from hydrogen storage tanks are as follows:

[0140]

[0141] in, The quality of hydrogen filling for the hydrogen storage tank; The amount of hydrogen released from the hydrogen storage tank; This is the upper limit for the hydrogen filling mass of the hydrogen storage tank; This is the upper limit of the hydrogen release mass of the hydrogen storage tank.

[0142] The expression for the capacity constraint of the hydrogen storage tank is:

[0143]

[0144] in, This represents the lower limit of the capacity of the hydrogen storage tank in time period t. Let be the capacity of the hydrogen storage tank in time period t; This represents the upper limit of the capacity of the hydrogen storage tank during time period t.

[0145] Step S5: Obtain historical new energy output data P of the hybrid hydrogen production system. t re Historical data on hydrogen load Historical data on grid-connected power limitation ratio λ t .

[0146] Step S6: Based on historical power output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio, a genetic algorithm is used to solve the capacity planning mathematical model of the hybrid hydrogen production system that takes into account the overload operation and life decay of the electrolyzer, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

[0147] Specifically, step S6 includes:

[0148] Step S61: Initialize the population, set the basic parameters of the genetic algorithm, and input the historical output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio within one year. and λ t .

[0149] Step S62: Set the rated lifespan of the ALK electrolyzer. Rated life of PEM electrolyzers The data is input into a capacity planning mathematical model for a hybrid hydrogen production system that takes into account overload operation and lifespan degradation of the electrolyzer. Through iterative processing using a genetic algorithm, the capacities of the ALK electrolyzer, PEM electrolyzer, energy storage battery, and hydrogen storage tank are calculated. and Let this be Y1. Then calculate the actual lifespan of the ALK electrolyzer and PEM electrolyzer under this capacity configuration. and

[0150] Step S63: Input the actual lifespan of the ALK electrolyzer. and the actual lifespan of PEM electrolyzers Through iterative genetic algorithm calculations, the capacities of the ALK electrolyzer, PEM electrolyzer, energy storage battery, and hydrogen storage tank were determined. and Let this be Y2. Then calculate the actual lifespan of the ALK electrolyzer and PEM electrolyzer under this capacity configuration. and

[0151] Step S64: Calculate separately and If the corresponding lifetime differences are all within δ years, Y2 is considered the optimal planned capacity for the hybrid hydrogen production system, taking into account electrolyzer overload operation and lifetime decay. Otherwise, repeat step S62, and the optimal capacity E is finally obtained through calculation. ALK E PEM E bat and E ht .

[0152] The beneficial effects of this application are:

[0153] 1) This application constructs a hydrogen production efficiency decay model and a lifetime decay model for electrolyzers, filling the gap in the research on the efficiency and lifetime characteristics of electrolyzers under overload operation, which is conducive to guiding the rational application of overload operation characteristics of hybrid electrolysis hydrogen production systems.

[0154] 2) The proposed planning method for hybrid hydrogen production system that takes into account the overload operation and life decay of electrolyzers enables electrolyzers to fully utilize their overload operation characteristics, thereby reducing the configuration capacity of electrolyzers and lowering the planning cost of hybrid hydrogen production system. At the same time, it takes into account the hydrogen production efficiency and life decay caused by the overload operation of electrolyzers, ensuring the productivity of hybrid hydrogen production system and enabling the hybrid hydrogen production system to operate reliably and economically in the long term.

[0155] Based on the same inventive concept, this application also provides a capacity planning system for a hybrid hydrogen production system that considers electrolyzer overload operation and lifespan degradation, for implementing the capacity planning method for a hybrid hydrogen production system that considers electrolyzer overload operation and lifespan degradation as described above. The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the capacity planning system for a hybrid hydrogen production system that considers electrolyzer overload operation and lifespan degradation provided below can be found in the limitations of the capacity planning method for a hybrid hydrogen production system that considers electrolyzer overload operation and lifespan degradation described above, and will not be repeated here.

[0156] In one exemplary embodiment, such as Figure 4 As shown, a capacity planning system for a hybrid hydrogen production system that takes into account electrolyzer overload operation and lifespan degradation includes:

[0157] Hybrid hydrogen production system construction unit 1 is used to construct a hybrid hydrogen production system; the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer.

[0158] Unit 2, which establishes the hydrogen production energy efficiency decay model and the lifespan decay model of the electrolyzer, is used to establish the hydrogen production energy efficiency decay model and the lifespan decay model of the electrolyzer.

[0159] The operation model establishment unit 3 is used to establish the operation model of the electrolyzer, the operation model of the energy storage battery, and the operation model of the hydrogen storage tank; the operation model of the electrolyzer is constructed based on the hydrogen production energy efficiency decay model of the electrolyzer.

[0160] Unit 4, the capacity planning mathematical model establishment unit for hybrid hydrogen production system, is used to establish a capacity planning mathematical model for hybrid hydrogen production system that takes into account overload operation and life decay of electrolyzers, based on the life decay model of electrolyzers, the operation model of electrolyzers, the operation model of energy storage batteries and the operation model of hydrogen storage tanks.

[0161] Data acquisition unit 5 is used to acquire historical new energy output data, historical hydrogen load data, and historical grid-connected power limitation ratio data of the hybrid hydrogen production system;

[0162] The optimal capacity planning scheme determination unit 6 is used to solve the capacity planning mathematical model of the hybrid hydrogen production system, which takes into account the overload operation and life decay of the electrolyzer, based on the historical output data of new energy, the historical data of hydrogen load, and the historical data of grid-connected power limitation ratio, using a genetic algorithm, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

[0163] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0164] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0165] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0166] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0167] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A capacity planning method for a hybrid hydrogen production system considering overload operation and lifespan degradation of the electrolyzer, characterized in that, The capacity planning method for hybrid hydrogen production systems that takes into account electrolyzer overload operation and lifespan degradation includes: Construct a hybrid hydrogen production system; the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer; A hydrogen production efficiency decay model and a lifetime decay model for electrolyzers are established. The hydrogen production efficiency decay model includes the hydrogen production efficiency decay model for ALK electrolyzers and the hydrogen production efficiency decay model for PEM electrolyzers. The lifetime decay model includes the lifetime decay model for ALK electrolyzers and the lifetime decay model for PEM electrolyzers. The expression for the hydrogen production efficiency degradation model of the ALK electrolyzer is as follows: in, The hydrogen production efficiency of the ALK electrolyzer in time period t; Rated hydrogen efficiency for ALK electrolyzers; The rated hydrogen energy efficiency degradation of the ALK electrolyzer; The hydrogen production efficiency degradation of the ALK electrolyzer during overload operation in time period t is calculated. This indicates the overload operation state of the ALK electrolytic cell in time period t; T represents the upper limit of the time value; Δt is the time interval; The expression for the hydrogen production efficiency decay model of the PEM electrolyzer is: in, The hydrogen production efficiency of the PEM electrolyzer in time period t; Rated hydrogen efficiency for PEM electrolyzers; The rated hydrogen energy efficiency degradation of PEM electrolyzers; The hydrogen production efficiency degradation of the PEM electrolyzer during overload operation in time period t; This indicates the overload operating state of the PEM electrolyzer in time period t; The expression for the lifetime decay model of the ALK electrolyzer is: in, Let t be the remaining lifetime of the ALK electrolyzer in time period t; This refers to the rated lifespan of the ALK electrolyzer. This refers to the degradation of the rated lifespan of the ALK electrolyzer. The overload operating life decay of the ALK electrolyzer during time period t; The expression for the life decay model of PEM electrolyzers is: in, Let t be the remaining lifetime of the PEM electrolyzer in time period t; This refers to the rated lifespan of the PEM electrolyzer. This refers to the degradation of the rated life of the PEM electrolyzer; The overload operating life decay of the PEM electrolyzer during time period t; An operating model for the electrolyzer, an operating model for the energy storage battery, and an operating model for the hydrogen storage tank are established. The operating model for the electrolyzer is constructed based on the hydrogen production energy efficiency decay model of the electrolyzer. The operating model for the electrolyzer includes the operating model for the ALK electrolyzer and the operating model for the PEM electrolyzer. The expression for the operating model of the ALK electrolyzer is: P t ALK =P t re,ALK +P t grid+,ALK +P t ch,ALK ; Among them, P t ALK P represents the power of the ALK electrolyzer in time period t. t re,ALK P represents the power output of the new energy generator unit to the ALK electrolyzer during time period t. t grid+,ALK P represents the power output from the power grid to the ALK electrolyzer during time period t. t ch,ALK Let be the power output of the energy storage battery to the ALK electrolyzer during time period t; The hydrogen production efficiency of the ALK electrolyzer in time period t; The mass of hydrogen produced by the ALK electrolyzer in time period t; The expression for the operating model of the PEM electrolyzer is: P t PEM =P t re,PEM +P t grid+,PEM +P t ch,PEM ; Among them, P t PEM P represents the power of the PEM electrolyzer in time period t. t re,PEM P represents the power output of the new energy generator unit to the PEM electrolyzer during time period t; t grid+,PEM P represents the power output from the power grid to the PEM electrolyzer during time period t. t ch,PEM Let be the power output of the energy storage battery to the PEM electrolyzer in time period t; The hydrogen production efficiency of the PEM electrolyzer in time period t; The mass of hydrogen produced by the PEM electrolyzer in time period t; The expression for the operating model of energy storage batteries is: in, Let be the capacity of the energy storage battery in time period t; η represents the capacity of the energy storage battery during the (t-1)th time period. bat,ch The charging efficiency of energy storage batteries; η bat,dis P represents the discharge efficiency of the energy storage battery. t ch P represents the charging power of the energy storage battery during time period t. t dis Δt represents the discharge power of the energy storage battery in time period t; Δt is the time interval. The expression for the operating model of the hydrogen storage tank is: in, Let be the capacity of the hydrogen storage tank in time period t; Let be the capacity of the hydrogen storage tank in the (t-1)th time period; Let be the mass of hydrogen added to the hydrogen storage tank during time period t; η represents the mass of hydrogen released from the hydrogen storage tank during time period t; ht,ch The hydrogen filling efficiency of the hydrogen storage tank; η ht,dis The hydrogen release efficiency of the hydrogen storage tank; Based on the lifespan decay model of the electrolyzer, the operation model of the electrolyzer, the operation model of the energy storage battery, and the operation model of the hydrogen storage tank, a capacity planning mathematical model for a hybrid hydrogen production system considering electrolyzer overload operation and lifespan decay is established. This model includes an objective function and constraints. The objective function aims to minimize the annual total cost of the hybrid hydrogen production system. The constraints include power balance constraints, hydrogen load constraints, grid connection power constraints, maximum capacity constraints of the electrolyzer, start-up and shutdown time constraints of the electrolyzer, overload operation time constraints of the electrolyzer, upper and lower power limits constraints of the electrolyzer, ramp-up power constraints of the electrolyzer, maximum capacity constraints of the energy storage battery, operating state constraints of the energy storage battery, upper and lower limits constraints of the energy storage battery's charge and discharge power, capacity constraints of the energy storage battery, maximum capacity constraints of the hydrogen storage tank, operating state constraints of the hydrogen storage tank, upper and lower limits constraints of the hydrogen mass for charging and discharging in the hydrogen storage tank, and capacity constraints of the hydrogen storage tank. The objective function is as follows: minC=C inv +C om ; Where C represents the total annual cost; C inv Annual investment cost; C om Annual maintenance costs; Annual investment cost C inv The calculation formula is as follows: in, The annual investment cost of the ALK electrolyzer; The annual investment cost of a PEM electrolyzer; The annual investment cost of energy storage batteries; The annual investment cost of the hydrogen storage tank; This is the unit capacity investment cost coefficient for ALK electrolytic cells; This is the unit capacity investment cost coefficient for PEM electrolyzers; This represents the unit capacity investment cost coefficient for energy storage batteries. E represents the unit capacity investment cost coefficient for hydrogen storage tanks. ALK E represents the capacity of the ALK electrolyzer; PEM E represents the capacity of the PEM electrolyzer; bat E represents the capacity of the energy storage battery. ht R is the capacity of the hydrogen storage tank; r1 is the discount rate; L bat For the lifespan of energy storage batteries; L ht For the service life of the hydrogen storage tank; L ALK For the service life of ALK electrolyzers; L PEM The service life of the PEM electrolyzer; Annual maintenance cost C om The calculation formula is as follows: in, The annual operation and maintenance cost of the ALK electrolyzer; The annual operation and maintenance cost of the PEM electrolyzer; The annual operation and maintenance cost of energy storage batteries; The annual operation and maintenance cost of the hydrogen storage tank; in, The unit price of water; Let t be the water consumption of the ALK electrolyzer during period t. The water consumption of the PEM electrolyzer in time period t; The maintenance coefficient per unit capacity of the ALK electrolyzer; α is the maintenance coefficient per unit capacity of the PEM electrolyzer; α is the conversion rate of water to hydrogen. Let t be the hydrogen production rate of the ALK electrolyzer during period t. Let t be the hydrogen production rate of the PEM electrolyzer during period t. The maintenance coefficient per unit capacity of the energy storage battery; The maintenance coefficient per unit capacity of the hydrogen storage tank; Acquire historical data on renewable energy output, hydrogen load, and grid-connected power limitation ratio of the hybrid hydrogen production system; Based on historical power output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio, a genetic algorithm is used to solve the capacity planning mathematical model of the hybrid hydrogen production system that takes into account the overload operation and life decay of the electrolyzer, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

2. The capacity planning method for a hybrid hydrogen production system considering overload operation and lifespan decay of the electrolyzer, as described in claim 1, is characterized in that... The expression for the power balance constraint is: P t re +P t grid+ +P t dis =P t ALK +P t PEM +P t grid- ; P t grid+ =P t grid+,ALK +P t grid+,PEM ; Among them, P t re To contribute to the new energy source in time period t; P t grid+ P is the sum of the power output from the grid to the ALK electrolyzer and the PEM electrolyzer during time period t; t dis P represents the discharge power of the energy storage battery during time period t. t ALK P represents the power of the ALK electrolyzer in time period t. t PEM P represents the power of the PEM electrolyzer in time period t. t grid- P represents the power of renewable energy connected to the grid during time period t. t grid+,ALK P represents the power output from the grid to the ALK electrolyzer during time period t. t grid+,PEM Let t be the power output from the grid to the PEM electrolyzer during time period t; The expression for the hydrogen loading constraint is: in, The hydrogen load of the hybrid hydrogen production system in time period t; The hydrogen load of the ALK electrolyzer during time period t; The hydrogen load of the PEM electrolyzer in time period t; The quality of hydrogen filling for the hydrogen storage tank; The amount of hydrogen released from the hydrogen storage tank; The expression for the grid-connected power constraint is: in, The variable representing the power output from the power grid to the ALK electrolyzer, PEM electrolyzer, and energy storage battery during time period t; λ represents the variable representing the power output to the grid by new energy sources and energy storage batteries in time period t; t This represents the limit ratio of grid-connected power in time period t.

3. The capacity planning method for a hybrid hydrogen production system considering overload operation and lifespan decay of the electrolyzer, as described in claim 2, is characterized in that... The expression for the maximum capacity constraint of the electrolytic cell is: Among them, E ALK E represents the capacity of the ALK electrolyzer; PEM This refers to the capacity of the PEM electrolyzer; This represents the maximum selectable capacity for the ALK electrolyzer. This represents the maximum selectable capacity for PEM electrolyzers; The expression for the start-up and shutdown time constraints of the electrolytic cell is: in, This represents the startup state of the ALK electrolyzer during the (t-1)th time period; The startup state of the ALK electrolyzer in time period t; This represents the startup state of the PEM electrolyzer during the (t-1)th time period; The startup state of the PEM electrolyzer in time period t; This represents the time during which the ALK electrolytic cell has been continuously running before the t-1 time period; T represents the time during which the ALK electrolyzer has been continuously shut down before time period t-1; ALK,on T is the time required to start up the ALK electrolytic cell. ALK,off The time required to shut down the ALK electrolytic cell; This represents the time during which the PEM electrolyzer has been continuously running before the t-1 time period; T represents the time during which the PEM electrolyzer has been continuously shut down before time period t-1; PEM,on T is the time required to start up a PEM electrolyzer; PEM,off The time required to shut down the PEM electrolytic cell; The expression for the overload operating time constraint of the electrolytic cell is: in, The overload operating state of the ALK electrolyzer during the t-1 time period; The overload operating state of the ALK electrolyzer in time period t; This represents the overload operating state of the PEM electrolyzer during the (t-1)th time period. The overload operating state of the PEM electrolyzer in time period t; This represents the time during which the ALK electrolyzer has been continuously overloaded before the t-1 time period; T represents the time during which the PEM electrolyzer has been continuously overloaded before time period t-1; ALK,over T represents the maximum allowable overload operating time for the ALK electrolyzer; PEM,over This refers to the maximum permissible overload operating time for a PEM electrolyzer. The expressions for the upper and lower power limits of the electrolytic cell are: in, The startup state of the ALK electrolyzer in time period t; The startup state of the PEM electrolyzer in time period t; The minimum rated power factor allowed per unit capacity of ALK electrolyzer; The maximum allowable rated power factor per unit capacity of ALK electrolyzer; This is the minimum allowable rated power factor for a PEM electrolyzer; This represents the maximum allowable rated power factor for a PEM electrolyzer. The expression for the ramp-up power constraint of the electrolytic cell is: in, This represents the maximum ramp-up power coefficient of the ALK electrolyzer; The ramp-up power of the ALK electrolytic cell; This represents the maximum permissible ramp power factor for a PEM electrolyzer. This refers to the ramp-up power of the PEM electrolyzer.

4. The capacity planning method for a hybrid hydrogen production system considering overload operation and lifespan decay of the electrolyzer, as described in claim 3, is characterized in that... The expression for the maximum capacity constraint of the energy storage battery is: Among them, E bat The capacity of the energy storage battery; This represents the maximum selectable capacity of the energy storage battery. The expression for the operating state constraints of the energy storage battery is: in, This represents the charging state of the energy storage battery in time period t. This represents the discharge state of the energy storage battery in time period t. The expressions for the upper and lower limits of the charging and discharging power constraints of energy storage batteries are as follows: Among them, P t ch Let be the charging power of the energy storage battery in time period t; P represents the upper limit of the charging power of the energy storage battery in time period t; t dis Let be the discharge power of the energy storage battery in time period t; This represents the upper limit of the discharge power of the energy storage battery in time period t; The expression for the capacity constraint of energy storage batteries is: in, This represents the lower limit of the capacity of the energy storage battery in time period t. Let be the capacity of the energy storage battery in time period t; This represents the upper limit of the capacity of the energy storage battery during time period t.

5. The capacity planning method for a hybrid hydrogen production system considering overload operation and lifespan decay of the electrolyzer, as described in claim 1, is characterized in that... The expression for the maximum capacity constraint of the hydrogen storage tank is: Among them, E ht This refers to the capacity of the hydrogen storage tank; This represents the maximum selectable capacity of the hydrogen storage tank. in, The hydrogen storage tank represents the hydrogen charging status at time t. This represents the hydrogen release state of the hydrogen storage tank during time period t. The expressions for the upper and lower limits of hydrogen mass limits for filling and discharging hydrogen from hydrogen storage tanks are as follows: in, Let be the mass of hydrogen added to the hydrogen storage tank during time period t; Let be the mass of hydrogen released from the hydrogen storage tank during time period t; This is the upper limit for the hydrogen filling mass of the hydrogen storage tank; This is the upper limit of the hydrogen release mass from the hydrogen storage tank; The expression for the capacity constraint of the hydrogen storage tank is: in, This is the lower limit of the capacity of the hydrogen storage tank; Let be the capacity of the hydrogen storage tank in time period t; This is the upper limit of the capacity of the hydrogen storage tank.

6. A capacity planning system for a hybrid hydrogen production system that takes into account overload operation and lifespan degradation of the electrolyzer, characterized in that, The capacity planning system for a hybrid hydrogen production system that takes into account electrolyzer overload operation and lifespan degradation is based on the capacity planning method for a hybrid hydrogen production system that takes into account electrolyzer overload operation and lifespan degradation as described in any one of claims 1-5. The capacity planning system for a hybrid hydrogen production system that takes into account electrolyzer overload operation and lifespan degradation includes: A hybrid hydrogen production system construction unit is used to construct a hybrid hydrogen production system; the hybrid hydrogen production system includes a power grid, a new energy generator set, an electrolyzer, an energy storage battery, and a hydrogen storage tank; the electrolyzer includes an ALK electrolyzer and a PEM electrolyzer; The hydrogen production energy efficiency decay model and lifespan decay model establishment unit is used to establish the hydrogen production energy efficiency decay model and the lifespan decay model of the electrolyzer. The operation model establishment unit is used to establish the operation model of the electrolyzer, the operation model of the energy storage battery, and the operation model of the hydrogen storage tank; the operation model of the electrolyzer is constructed based on the hydrogen production energy efficiency decay model of the electrolyzer. The capacity planning mathematical model establishment unit for hybrid hydrogen production system is used to establish a capacity planning mathematical model for hybrid hydrogen production system that takes into account the overload operation and life decay of electrolyzers, based on the life decay model of electrolyzers, the operation model of electrolyzers, the operation model of energy storage batteries, and the operation model of hydrogen storage tanks. The data acquisition unit is used to acquire historical data on new energy output, hydrogen load, and grid-connected power limitation ratio of the hybrid hydrogen production system. The optimal capacity planning scheme determination unit is used to solve the capacity planning mathematical model of the hybrid hydrogen production system, which takes into account the overload operation and life decay of the electrolyzer, based on historical power output data of new energy sources, historical hydrogen load data, and historical data of grid-connected power limitation ratio, using a genetic algorithm, and to determine the optimal capacity planning scheme of the hybrid hydrogen production system.

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