Control method and device of hydrogen production system, medium, electronic equipment and program product

Abstract

The invention relates to a control method and device of a hydrogen production system, a medium, electronic equipment and a program product, relates to the technical field of power grids, and can reduce cold start or shutdown conditions of an off-grid hydrogen production system so as to improve the stability of the hydrogen production system. The method comprises the following steps: determining power information and cost information of the hydrogen production system; according to the power information and the cost information, an objective function is constructed, and the objective function is used for representing that the target energy storage capacity of each subsystem in the hydrogen production system is solved according to the cost and the power of the hydrogen production system; and according to a preset constraint condition, solving the target function to obtain a target energy storage capacity corresponding to each subsystem in the hydrogen production system, and according to each target energy storage capacity, carrying out capacity configuration on the hydrogen production system.

Description

Technical Field

[0001] This disclosure relates to the field of power grid technology, and more specifically, to a control method, apparatus, medium, electronic equipment, and program product for a hydrogen production system. Background Technology

[0002] Hydrogen production systems generally operate in five modes: regulation mode, overload mode, hot standby mode, cold start mode, and shutdown mode. Power ranges are defined based on these five modes, and corresponding control strategies are developed according to these power ranges and wind / solar power output. However, this approach fails to consider the shortened lifespan of the hydrogen production system due to frequent start-stop cycles, as well as the impact of cold starts and shutdowns on capacity design and control strategies. Summary of the Invention

[0003] The purpose of this disclosure is to provide a control method, apparatus, medium, electronic equipment, and program product for a hydrogen production system, which can reduce cold start or shutdown situations in off-grid hydrogen production systems and improve the stability of the hydrogen production system.

[0004] To achieve the above objectives, in a first aspect, this disclosure provides a control method for a hydrogen production system, the method comprising: Determine the power and cost information of the hydrogen production system; Based on the power information and the cost information, an objective function is constructed. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system. Based on preset constraints, the objective function is solved to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and the capacity of the hydrogen production system is configured according to each target energy storage capacity.

[0005] Secondly, this disclosure provides a control device for a hydrogen production system, the device comprising: A determination module is used to determine the power information and cost information of the hydrogen production system; An execution module is used to construct an objective function based on the power information and the cost information. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system. The control module is used to solve the objective function according to preset constraints, obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and configure the capacity of the hydrogen production system according to each target energy storage capacity.

[0006] Thirdly, this disclosure provides a non-transitory computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the first aspect.

[0007] Fourthly, this disclosure provides an electronic device, comprising: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the method described in the first aspect.

[0008] Fifthly, this disclosure provides a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0009] Based on the power and cost information of the hydrogen production system, an objective function is constructed to calculate the target energy storage capacity of each subsystem in the hydrogen production system. According to the preset constraints, the objective function is solved to obtain the target energy storage capacity of each subsystem in the hydrogen production system. The capacity of the hydrogen production system is then configured according to the target energy storage capacity, thereby reducing the occurrence of cold start or shutdown in the off-grid hydrogen production system, improving the stability of the hydrogen production system, and extending the life of the hydrogen production system.

[0010] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0011] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating a control method for a hydrogen production system according to exemplary embodiments of the present disclosure.

[0012] Figure 2 This is a structural block diagram of a hydrogen production system.

[0013] Figure 3 This is another flowchart illustrating a control method for a hydrogen production system according to exemplary embodiments of the present disclosure.

[0014] Figure 4 This is yet another flowchart illustrating a control method for a hydrogen production system according to exemplary embodiments of the present disclosure.

[0015] Figure 5 This is another flowchart illustrating a control method for a hydrogen production system according to exemplary embodiments of the present disclosure.

[0016] Figure 6 This is a block diagram of a control device for a hydrogen production system according to exemplary embodiments of the present disclosure.

[0017] Figure 7 This is a block diagram illustrating an electronic device according to exemplary embodiments of the present disclosure. Detailed Implementation

[0018] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0019] It should be noted that all actions involving the acquisition of signals, information, or data in this disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the location is situated, and with authorization from the owner of the relevant device.

[0020] It is worth noting that Chinese Patent CN115940209A discloses a method, device, and electronic equipment for determining the energy storage ratio of a new energy hydrogen production system. The method includes: obtaining the annual hourly power generation of the new energy generator set and the annual hourly power consumption of the hydrogen production unit; determining the first power consumption gap or power generation surplus corresponding to each hour based on the annual hourly power generation and the annual hourly power consumption; determining each charging and discharging sequence, and the corresponding second power consumption gap and energy storage discharge amount based on the first power consumption gap or power generation surplus corresponding to each hour and the energy storage conversion efficiency, thereby determining the energy storage capacity corresponding to each charging and discharging sequence.

[0021] Chinese patent CN116706985A discloses an optimization configuration method and apparatus for a large-scale off-grid hydrogen production system for new energy. The method includes: determining an optimization configuration model, including determining an objective function and constraints; determining the optimization configuration parameters of the off-grid hydrogen production system for new energy based on the optimization configuration model; wherein, the objective function is determined with the goal of maximizing system stability and minimizing the investment payback period; the constraints include constraints on the operating status of hydrogen production equipment in the hydrogen production system.

[0022] Chinese patent CN117154776A discloses a method for selecting and optimizing a large-scale off-grid hydrogen production system with wind and solar hybrid power. The method includes: the new energy power generation system uses renewable energy to generate electricity, providing the hydrogen production system with the necessary power; the energy storage system balances the power conversion between the new energy power generation system and the hydrogen production system; and the optimal configuration parameters of the new energy off-grid hydrogen production system are determined according to an optimization configuration model. The objective function is determined with the goal of minimizing system stability and investment recovery period. The constraints include constraints regarding the operating status of the hydrogen production equipment within the hydrogen production system.

[0023] As stated in the background section, the control strategy for hydrogen production systems takes into account the shortened lifespan of the system due to frequent start-stop cycles, as well as the impact of cold starts and shutdowns on capacity design and control strategies. The inventors discovered that the optimization objectives for off-grid hydrogen production in the aforementioned patents, which focus on stability and economic efficiency, do not consider uncertainties in their mathematical models. They rely solely on historical power generation data for estimation, and the stability optimization based on this model cannot cope with future changes in wind and solar power output due to climate change.

[0024] In view of this, the present disclosure provides a control method, apparatus, medium, electronic equipment and program product for a hydrogen production system, which can reduce the occurrence of cold start or shutdown in the hydrogen production system and improve the stability of the hydrogen production system.

[0025] Figure 1 This is a flowchart illustrating a control method for a hydrogen production system according to exemplary embodiments of the present disclosure. Figure 1 As shown, the method may include the following steps: In step S11, the power information and cost information of the hydrogen production system are determined.

[0026] In step S12, an objective function is constructed based on the power information and the cost information. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system.

[0027] In step S13, the objective function is solved according to the preset constraints to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and the capacity of the hydrogen production system is configured according to each target energy storage capacity.

[0028] It is worth noting that, such as Figure 2 As shown, the hydrogen production system may include a renewable energy power generation system (such as a wind power system or a photovoltaic system), a hydrogen production subsystem (alkaline electrolyzer, PEM water electrolysis for hydrogen production, SOEC hydrogen production equipment), a backup power generation system (e.g., a fuel cell), an energy storage system (electrochemical energy storage), and a hydrogen transportation system (long-tube trailers, hydrogen pipelines). The wind power system, photovoltaic system, and energy storage system transmit electrical energy to the hydrogen production system, which converts the electrical energy into hydrogen energy and transmits the hydrogen energy to hydrogen-consuming loads. Simultaneously, the energy storage system absorbs and stores electrical energy when the wind power system and photovoltaic system have surplus output. Here, wind power and photovoltaic power are referred to as wind and solar in this disclosure.

[0029] It is worth noting that the preset constraints include, but are not limited to, constraints on wind and solar power generation, energy storage, hydrogen production power, hydrogen production ramp-up rate, and power balance.

[0030] In this embodiment, an objective function is constructed based on the power and cost information of the hydrogen production system to solve for the target energy storage capacity of each subsystem in the hydrogen production system. The objective function is solved according to preset constraints to obtain the target energy storage capacity of each subsystem in the hydrogen production system. The capacity of the hydrogen production system is configured according to the target energy storage capacity, thereby reducing the occurrence of cold start or shutdown in the off-grid hydrogen production system, improving the stability of the hydrogen production system, and thus extending the life of the hydrogen production system.

[0031] To facilitate a better understanding of the control method for the hydrogen production system provided in this disclosure by those skilled in the art, the relevant steps of the method are described in detail below.

[0032] In one feasible implementation, the power information includes the maximum wind power output and maximum photovoltaic power output of the hydrogen production system, and the cost information includes the system installation cost, maintenance cost, planned hydrogen production, start-up and shutdown costs, and penalty costs. The step of constructing an objective function based on the power information includes: Based on the power information, the following power function is constructed: f powr =min[μ power ·P PVmax +μ power ·P windmax -P hy_max ], Where, μ power Characterizing the power factor, P PVmax P represents the maximum wind power output of a hydrogen production system. windmax P represents the maximum photovoltaic output of a hydrogen production system. hy_max P represents the maximum hydrogen production capacity of a hydrogen production system. hy_max =120%P hy ; Based on the cost information, the following loss function is constructed: f cost =min[C invest +C OM +C SU +C loss +C hysell ], Among them, C invest C represents the installed cost of the hydrogen production system. OM C characterizes the maintenance cost of the hydrogen production system. SU C represents the start-up and shutdown cost of the hydrogen production system. loss C represents the penalty cost of the hydrogen production system. hysell Characterizes the planned hydrogen production capacity of the hydrogen production system.

[0033] It is worth noting that in the cost information, the installation cost Cinvest It can be determined by the following formula: C invest =C ini_wind ·P wind +C ini_PV ·P pv +C ini_bat ·E bat , C ini_wind P represents the investment cost per unit power of wind power in a hydrogen production system. wind C represents the installed capacity of wind power in a hydrogen production system. ini_PV P represents the investment cost per unit power of photovoltaic power in a hydrogen production system. pv C represents the installed capacity of photovoltaics in a hydrogen production system. ini_bat E represents the investment cost per unit power of energy storage in a hydrogen production system. bat Characterizes the energy storage capacity of a hydrogen production system.

[0034] Among them, the installed capacity of wind power in the hydrogen production system is P wind =μ WT ·P hy_max Photovoltaic installed capacity P in hydrogen production system pv =μ PV ·P hy_max μ WT Characterizing the wind power reserve factor, μ PV Characterizes the photovoltaic reserve factor.

[0035] Maintenance cost C OM It can be determined by the following formula: C OM =C OM_wind P wind +C OM_PV P pv +C OM_bat E bat , Among them, C OM_wind C represents the maintenance cost per unit capacity of wind power. OM_PV C represents the maintenance cost per unit capacity of photovoltaic power. OM_bat The maintenance cost per unit capacity of energy storage.

[0036] Start-up and shutdown costs C SU It can be determined by the following formula: C SU =N hy ·C str-sd , Where, N hy C represents the number of starts and stops. str-sd Characterizes start-up and shutdown costs.

[0037] Penalty cost Closs It can be obtained through the following calculation formula: C loss =α·(P PVmax -P hy_max )+α·(P windmax -P hy_max ), Here, α represents the wind and solar curtailment penalty coefficient.

[0038] In one feasible implementation, the planned hydrogen production capacity of the hydrogen production system is determined as follows: Determine the hydrogen sales price, the rated power of the hydrogen production system, and the installed capacity of wind and solar power; The energy storage operation time of the hydrogen production system is determined based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power. The planned hydrogen production capacity of the hydrogen production system is obtained using the following formula: C hysell =[P hy ·(ΔM-T lack )]·R hy , Among them, P hy The rated power of the hydrogen production system is represented by ΔM, and the total hydrogen production time of the system is represented by T. lack R represents the cold standby or downtime of a hydrogen production system. hy Characterizes the price of hydrogen sold.

[0039] It is worth noting that the total hydrogen production time ΔM is a constant, and the energy storage operation time T is... bat It is a variable, while the amount of hydrogen produced is affected by T. bat The effect is determined by the formula T. bat =ΔM-T lack Determine the energy storage operation time.

[0040] Correspondingly, the constraint for wind and solar power generation can be that the output of wind and solar power at any given time must be less than the installed capacity, which can be expressed by the following relationship: 0≤P PV.t ≤P PVmax , 0≤P wind.t ≤P windmax , Among them, P PV.t P represents the wind power output at time t. wind.t Characterizes the photovoltaic output at time t.

[0041] The energy storage constraint can be defined as the energy storage capacity, power, and charge capacity of a hydrogen production system falling within a certain range at any given time, which can be expressed by the following relationship: 0≤P bess Tbat ≤E bat , P hy_min ≤P bat.t ≤P bess , SOC _min ≤SOC .t ≤SOC _max , Among them, P bess Characterized by the installed capacity of energy storage, P bess =μ bat P hy_max μ bat P represents the protection factor of an energy storage system. hy_min P represents the minimum hydrogen production power of a hydrogen production system. bat.t SOC represents the stored energy power at time t. _min Characterized by the preset minimum charge, SOC .t SOC represents the charge at time t. _max It represents the preset maximum charge.

[0042] It is worth noting that the range of values ​​for all power factors and coefficients μ involved in the calculation in this embodiment can be [0.5, 0.7].

[0043] The hydrogen production power constraint can be set so that the real-time power at any given moment does not exceed the real-time wind and solar power output, which can be expressed by the following relationship: 0≤P hy.t ≤P PV.t +P wind.t , Among them, P hy.t P represents the rated power at time t. PV.t P represents the wind power output at time t. wind.t Characterizes the photovoltaic output at time t.

[0044] The hydrogen production ramp-up rate constraint, which requires that the difference between the rated power at any given time and the rated power at the next time time be no less than 20% of the rated power, can be expressed by the following formula: P hy.t -P hy.t-1 ≥20%P hy .

[0045] The power balance constraint can be defined as the sum of the photovoltaic installed capacity, wind power installed capacity, energy storage power, and backup power at the same time, which equals the rated power. P pv.t +P wind.t +P bat.t -P hy.t =0.

[0046] In one feasible implementation, determining the energy storage operation time of the hydrogen production system based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power systems includes: Determine the cumulative transfer matrix corresponding to the power output range of the historical power output scenario; The wind and solar power output range corresponding to the wind and solar power output scenario is divided into multiple wind and solar power output intervals. For the time between each wind and solar power output interval, a target random number is determined according to the cumulative transfer matrix. The time length corresponding to each wind and solar power output interval is determined according to the target random number. The total hydrogen production time is determined when the wind and solar power output is less than the preset minimum operating power among the time lengths of the multiple wind and solar power output intervals. Based on the total hydrogen production time and the cold standby or shutdown time of the hydrogen production system, the energy storage operation time of the hydrogen production system is obtained.

[0047] For example, determine the cumulative transition matrix P corresponding to the power output range of the historical power output scenario. π The solar power output range is divided into M equal solar power output intervals, and the time interval [1, M] between the M solar power output intervals is determined. For each time interval, according to P π Determine the target random number θ, and based on the time length corresponding to each wind and solar power output interval, determine the total hydrogen production time ΔM for the M wind and solar power output intervals, where the wind and solar power output is less than P. hy_min Target time length M lackk The energy storage operating time T of the hydrogen production system is obtained. bat =M lackk -T lack , among which, T lack Characterizes the cold standby or downtime of a hydrogen production system.

[0048] It is worth noting that in solving the objective function, it is desirable to minimize cold standby or downtime to zero. Therefore, it is necessary to calculate the balance point between energy storage operating time and downtime based on cost requirements. If the energy storage time is too long, the revenue from selling hydrogen will be less than the revenue from reducing operating time and switching to downtime. The downtime or cold standby time T... lack It is a variable, so T is continuously adjusted during the solution process. lack The value of , and according to T lack Calculate the energy storage operating time, energy storage operating time T bat The target time length M lackk Subtract cold standby or downtime T bat .

[0049] In one feasible implementation, determining the time length corresponding to each of the wind and solar power output intervals based on the target random number includes: Based on the target random number, determine the power output state corresponding to the time between multiple wind and solar power output intervals, integrate them into a power output state sequence, and integrate the target random number corresponding to the power output state into a random number sequence; Based on the output state sequence and the random number sequence, the time length of each of the wind and solar power output intervals in the historical wind and solar power output scenarios is determined.

[0050] For example, the power output state S corresponding to the time intervals between M wind and solar power output intervals is determined according to θ, and integrated into a power output state sequence [S1, S2, ... S]. T Generate a random sequence of length T [θ1, θ2, ..., θ3], where T = M + 1. T ]; The output state sequence [S1, S2, ... S T ] and random sequence [θ1, θ1, ... θ1] T Substituting into the following formula, we obtain the time length ΔM = P for the M wind and solar power output intervals. t / (S) t +θ t ), where P t S represents the historical landscape and power production scene. t Characterizing the output force state sequence, θ t Represents a random number sequence.

[0051] In one feasible implementation, determining the cumulative transfer matrix corresponding to the wind and solar power output range of the historical wind and solar power output scenario includes: Based on the transition probability of the first output state corresponding to each moment and the second output state corresponding to the next moment in the historical landscape output scenario, determine the transition matrix between the current moment and the next moment. The transition matrices corresponding to all moments of the historical landscape power output scenario are integrated into a cumulative transition matrix.

[0052] For example, based on the transition probabilities of the first output state S1 at each moment in the historical landscape output scenario and the second output state at the next moment, the transition matrix P between that moment and the next moment is determined. Tr P corresponding to all times Tr Integrate into a cumulative transition matrix P π .

[0053] In one feasible implementation, determining the random number based on the cumulative transition matrix includes: Determine the initial random number; When the initial random number is between the first transition matrix and the second transition matrix, the initial random number is used as the target random number. The first transition matrix is ​​the transition matrix corresponding to the current time, and the second transition matrix is ​​the transition matrix corresponding to the candidate transition time.

[0054] For example, select any number in the interval [0, 1] as the initial random number r, and satisfy P π，ij <r<P π，i（j+1） In the case where r is taken as θ, P is not satisfied. π，ij <r<P π，i（j+1） In the case of [0, 1], a new intermediate random number is determined and the judgment continues until the intermediate random number satisfies P. π，ij <r<P π，i（j+1） When the time is right, the intermediate random number is used as θ.

[0055] like Figure 3 As shown, a complete embodiment of the control method for the hydrogen production system provided in this disclosure is illustrated: In step S31, the installed capacity of wind power, photovoltaic power, and energy storage power are determined.

[0056] Specifically, through the calculation formula P wind =μ WT ·P hy_max P pv =μ PV ·P hy_max , and P bess =μ bat P hy_max The wind power installed capacity P was obtained. wind Photovoltaic installed capacity P pv and energy storage power P bess .

[0057] In step S32, the uncertain wind and solar power output scenario is generated using the Markov Chain Monte Carlo (MCMC) method.

[0058] Specifically, the historical landscape output range is divided into M equal intervals. Based on the transition probability of the output state at each moment to the output state at the next moment, the transition matrix P corresponding to the output state between the current moment and the next moment is obtained. Tr Statistical analysis of P at each time step Tr Obtain the cumulative transition matrix P π , will P π Combined with the Monte Carlo method, an integer i in the interval [1, M] is randomly generated to represent the current output state, and an initial random number r in the interval [0, 1] is generated. When P is satisfied... π，ij <r<P π，i（j+1） In this case, we take r as θ, and the next output state is j. We repeat this step according to θ to obtain the output state sequence [S1, S2, ... S]. T ], and generate a random sequence of length T [θ1, θ2, ... θ3], and generate a random sequence of length T [θ1, θ2, ... θ3]. T ], θT ∈[0,1], calculated by formula P t =(S t +θ t ) △M, and obtain the uncertain wind and solar power output scenario [P1, P2, ... PT].

[0059] In step S33, the time length ΔM of the M wind and solar power output intervals in the wind and solar power output scenario is obtained. The energy storage operation time of the hydrogen production system is obtained based on ΔM, and the hydrogen production is calculated based on the energy storage operation time.

[0060] Specifically, within the time length △M, the wind and solar power output is less than P. hy_min Target time length M lackk The energy storage operating time T of the hydrogen production system is obtained. bat =M lackk -T lack Thus, the planned hydrogen production capacity is obtained: C hysell =[P hy ·(ΔM-T lack )]·R hy .

[0061] In step S34, an objective function is established based on the power and cost information of the hydrogen production system. The objective function is then solved according to preset constraints to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system. The cost information includes the planned hydrogen production volume.

[0062] Specifically, construct the power function f powr =min[μ power ·P PVmax +μ power ·P windmax -P hy_max ], and the loss function f cost =min[C invest +C OM +C SU +C loss +C hysell Based on constraints of wind and solar power generation, energy storage, hydrogen production power, hydrogen production ramp-up rate, and power balance, the power function and loss function are optimized and solved to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system.

[0063] In one feasible implementation, the method further includes: When the grid-connecting equipment of the hydrogen production system includes a new energy grid, the maximum economic power of the hydrogen production system is determined based on the rated power of the hydrogen production system, and the hydrogen production system is controlled to switch the grid connection mode in a first preset mode based on the maximum economic power. If the grid-connecting equipment of the hydrogen production system does not include new energy grid connection, the system is controlled to switch the grid connection mode in a second preset mode according to the rated power of the hydrogen production system.

[0064] It is worth noting that the configuration of the hydrogen production system can be carried out before, after, or simultaneously with the capacity configuration of the hydrogen production system. This disclosure does not limit this.

[0065] It should be understood that the highest efficiency of most current hydrogen production equipment is 80% P. hy The maximum economical power varies depending on the equipment model or its service life. The maximum economical power is P = μ·P hy The value of μ ranges from [0.5, 0.7].

[0066] For example, when the grid-connected equipment of a hydrogen production system includes renewable energy grids, the system switches to wind, solar, and energy storage when the output power of the grid-connected equipment cannot meet the hydrogen production system's standards, based on the highest economically viable power output. Therefore, during normal operation, the power fluctuation range of the hydrogen production system is [P, P]. hy_max If the hydrogen production system cannot meet the P power requirement, the hydrogen production system will use the hydrogen production power grid to provide power at a level not lower than P. hy_min If the operation is below P hy_min If the hydrogen production system's grid connection equipment is not connected to a new energy grid, and the hydrogen production system's output falls below P0.05, then the system needs to be shut down. hy_min If the system fails to meet the minimum operating power requirement, it will switch to an energy storage system for grid connection. If the energy storage system fails to meet the minimum operating power requirement, the system will shut down.

[0067] In one feasible implementation, controlling the hydrogen production system to switch the grid configuration in a first preset mode based on the highest economic power includes: If the real-time maximum operating power of the wind power in the hydrogen production system is greater than or equal to the highest economic power, or if the real-time maximum operating power of the photovoltaic power in the hydrogen production system is greater than or equal to the highest economic power, the hydrogen production system shall be controlled to switch to a new energy grid connection. If the real-time maximum operating power of the wind power in the hydrogen production system is less than the highest economic power, and the real-time maximum operating power of the photovoltaic power in the hydrogen production system is less than the highest economic power, the hydrogen production system shall be controlled to switch to either energy storage grid or hydrogen production power grid.

[0068] In one feasible implementation, controlling the switching of the hydrogen production system to a new energy grid includes: If the real-time maximum operating power of the wind power in the hydrogen production system is greater than the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to wind power grid connection. If the real-time maximum operating power of the wind power in the hydrogen production system is less than or equal to the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to photovoltaic grid connection.

[0069] For example, such as Figure 4 As shown, determine whether the hydrogen production system meets condition P. PV.max ≥P or P WT.max ≥P; if satisfied, then switch the hydrogen production system to a new energy grid; and continue to determine whether condition P is satisfied. PV.max >P WT.max If the conditions are met, the hydrogen production system will be switched to wind power grid connection; otherwise, the hydrogen production system will be switched to photovoltaic grid connection.

[0070] If the hydrogen production system does not meet condition P PV.max ≥P or P WT.max If the hydrogen production system satisfies condition P, then it is determined whether the hydrogen production system meets condition P. bat ≥P and SOC≥SOC _min If the conditions are met, the hydrogen production system will be switched to an energy storage grid.

[0071] If the hydrogen production system does not meet condition P bat ≥P and SOC≥SOC _min Then continue to determine whether the hydrogen production system meets condition P. PV.max <P, P WT.max <P and P bat <P; if satisfied, then further determine whether condition P is satisfied. PV.max ≥P hy_min P WT.max ≥P hy_min P bat ≥P hy_min Or SOC ≥ SOC _min If the conditions are met, the hydrogen production system is switched to a hydrogen power grid; otherwise, the hydrogen production system is shut down.

[0072] If the hydrogen production system does not meet condition P PV.max <P, P WT.max <P and P bat If < P, then re-evaluate whether the hydrogen production system meets condition P. PV.max ≥P or P WT.max ≥P.

[0073] In one feasible implementation, controlling the hydrogen production system to switch its grid configuration in a second preset mode based on the system's rated power includes: When the rated power is less than or equal to the preset minimum power of the hydrogen production system, the hydrogen production system is controlled to switch to a hydrogen production system network. When the rated power is greater than the preset minimum power of the hydrogen production system, the real-time energy storage power of the hydrogen production system is less than the preset minimum power of the hydrogen production system, and the real-time charge of the hydrogen production system is less than or equal to the preset minimum charge, the hydrogen production system is controlled to switch to energy storage grid construction.

[0074] For example, such as Figure 5 As shown, determine whether the hydrogen production system meets condition P. hy ≥P hy_min If the condition is met, the hydrogen production system is switched to a hydrogen production subsystem network; if not, it is determined whether condition P is met. bat ≥P hy_min And SOC ≥ SOC _min If the conditions are met, the hydrogen production system is switched to energy storage grid construction; if not, it is determined whether condition P is met. hy <P hy_min And P bat <P hy_min If the condition is met, the hydrogen production system is shut down; otherwise, the condition P is reassessed. hy ≥P hy_min .

[0075] The control method for the hydrogen production system disclosed herein utilizes the Markov Chain Monte Carlo (MCMC) method to generate time-series renewable energy output scenarios. Each output state has a duration, which more closely approximates actual conditions and more accurately calculates the time when wind and solar power output cannot meet load demand. This allows for more precise calculation of energy storage capacity requirements and minimizes energy storage investment costs. Furthermore, the method can control the hydrogen production system to switch between various grid configurations, including renewable energy, energy storage, hydrogen production power sources, and backup power sources, maximizing system stability and preventing downtime. Since the energy storage system is an adjustable load, it can follow renewable energy fluctuations. Based on this, renewable energy installed capacity and energy storage capacity can be planned holistically according to grid configuration strategies.

[0076] Based on the same inventive concept, this disclosure also provides a control device for a hydrogen production system, such as... Figure 6 The control device of the hydrogen production system shown includes a determination module 601, an execution module 602, and a control module 603.

[0077] Among them, the determining module 601 is used to determine the power information and cost information of the hydrogen production system; The execution module 602 is used to construct an objective function based on the power information and the cost information. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system. The control module 603 is used to solve the objective function according to preset constraints to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and to configure the capacity of the hydrogen production system according to each target energy storage capacity.

[0078] In this embodiment, an objective function is constructed based on the power and cost information of the hydrogen production system to solve for the target energy storage capacity of each subsystem in the hydrogen production system. The objective function is solved according to preset constraints to obtain the target energy storage capacity of each subsystem in the hydrogen production system. The capacity of the hydrogen production system is configured according to the target energy storage capacity, thereby reducing the occurrence of cold start or shutdown in the hydrogen production system, improving the stability of the hydrogen production system, and thus extending the life of the hydrogen production system.

[0079] In one feasible implementation, the power information includes the maximum wind power output and maximum photovoltaic power output of the hydrogen production system, and the cost information includes the system installation cost, maintenance cost, planned hydrogen production, start-up and shutdown cost, and penalty cost. The execution module is used to construct the following power function based on the power information: f powr =min[μ power ·P PVmax +μ power ·P windmax -P hy_max ], Where, μ power Characterizing the power factor, P PVmax P represents the maximum wind power output of a hydrogen production system. windmax P represents the maximum photovoltaic output of a hydrogen production system. hy_max Characterizes the maximum hydrogen production power of the hydrogen production system; Based on the cost information, the following loss function is constructed: f cost =min[C invest +C OM +C SU +C loss +C hysell ], Among them, C invest C represents the installed cost of the hydrogen production system. OM C characterizes the maintenance cost of the hydrogen production system. SU C represents the start-up and shutdown cost of the hydrogen production system. loss C represents the penalty cost of the hydrogen production system. hysell Characterizes the planned hydrogen production capacity of the hydrogen production system.

[0080] In one feasible implementation, the determining module is used to determine the hydrogen sales price, the rated power of the hydrogen production system, and the wind and solar installed capacity information; The energy storage operation time of the hydrogen production system is determined based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power. The planned hydrogen production capacity of the hydrogen production system is obtained using the following formula: C hysell =[P hy ·(ΔM-T lack )]·R hy , Among them, P hy The rated power of the hydrogen production system is represented by ΔM, and the total hydrogen production time of the system is represented by T. lack R represents the cold standby or downtime of a hydrogen production system. hy Characterizes the price of hydrogen sold.

[0081] In one feasible implementation, the determining module is used to determine the cumulative transfer matrix corresponding to the wind and solar power output range corresponding to the historical wind and solar power output scenario; The wind and solar power output range corresponding to the wind and solar power output scenario is divided into multiple wind and solar power output intervals. For the time between each wind and solar power output interval, a target random number is determined according to the cumulative transfer matrix. The time length corresponding to each wind and solar power output interval is determined according to the target random number. The total hydrogen production time is determined when the wind and solar power output is less than the preset minimum operating power among the time lengths of the multiple wind and solar power output intervals. Based on the total hydrogen production time and the cold standby or shutdown time of the hydrogen production system, the energy storage operation time of the hydrogen production system is obtained.

[0082] In one feasible implementation, the determining module is used to determine the output state corresponding to the time between multiple wind and solar power output intervals based on the target random number, integrate them into an output state sequence, and integrate the target random number corresponding to the output state into a random number sequence; Based on the output state sequence and the random number sequence, the time length of each of the wind and solar power output intervals in the historical wind and solar power output scenarios is determined.

[0083] In one feasible implementation, the determining module is used to determine the transition matrix between the current moment and the next moment based on the transition probability of the first output state corresponding to each moment of the historical landscape output scene and the second output state corresponding to the next moment. The transition matrices corresponding to all moments of the historical landscape power output scenario are integrated into a cumulative transition matrix.

[0084] In one feasible implementation, the determining module is used to determine an initial random number; When the initial random number is between the first transition matrix and the second transition matrix, the initial random number is used as the target random number. The first transition matrix is ​​the transition matrix corresponding to the current time, and the second transition matrix is ​​the transition matrix corresponding to the candidate transition time.

[0085] In one feasible implementation, the control module is used to determine the economically optimal power of the hydrogen production system based on the rated power of the hydrogen production system when the grid-connecting equipment of the hydrogen production system includes a new energy grid, and to control the hydrogen production system to switch the grid connection mode in a first preset mode based on the economically optimal power. If the grid-connecting equipment of the hydrogen production system does not include new energy grid connection, the system is controlled to switch the grid connection mode in a second preset mode according to the rated power of the hydrogen production system.

[0086] In one feasible implementation, the control module is used to control the hydrogen production system to switch to a new energy grid when the real-time maximum operating power of the wind power of the hydrogen production system is greater than or equal to the economic maximum power, or the real-time maximum operating power of the photovoltaic power of the hydrogen production system is greater than or equal to the economic maximum power. If the real-time maximum operating power of the wind power in the hydrogen production system is less than the highest economic power, and the real-time maximum operating power of the photovoltaic power in the hydrogen production system is less than the highest economic power, the hydrogen production system shall be controlled to switch to either energy storage grid or hydrogen production power grid.

[0087] In one feasible implementation, the control module is used to control the hydrogen production system to switch to wind power grid connection when the real-time maximum operating power of the wind power of the hydrogen production system is greater than the real-time maximum operating power of the photovoltaic power of the hydrogen production system. If the real-time maximum operating power of the wind power in the hydrogen production system is less than or equal to the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to photovoltaic grid connection.

[0088] In one feasible implementation, the control module is used to control the hydrogen production system to switch to a hydrogen production system network when the rated power is less than or equal to the preset minimum power of the hydrogen production system; When the rated power is greater than the preset minimum power of the hydrogen production system, the real-time energy storage power of the hydrogen production system is less than the preset minimum power of the hydrogen production system, and the real-time charge of the hydrogen production system is less than or equal to the preset minimum charge, the hydrogen production system is controlled to switch to energy storage grid construction.

[0089] Regarding the control device of the hydrogen production system in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated here.

[0090] Based on the same inventive concept, this disclosure provides an electronic device, including: A memory on which computer programs are stored; A processor is used to execute the computer program in the memory to implement the control method of the hydrogen production system described above.

[0091] In this embodiment, an objective function is constructed based on the power and cost information of the hydrogen production system to solve for the target energy storage capacity of each subsystem in the hydrogen production system. The objective function is solved according to preset constraints to obtain the target energy storage capacity of each subsystem in the hydrogen production system. The capacity of the hydrogen production system is configured according to the target energy storage capacity, thereby reducing the occurrence of cold start or shutdown in the hydrogen production system, improving the stability of the hydrogen production system, and thus extending the life of the hydrogen production system.

[0092] Figure 7 This is a block diagram illustrating an electronic device 700 according to an exemplary embodiment. Figure 7 As shown, the electronic device 700 may include a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0093] The processor 701 controls the overall operation of the electronic device 700 to complete all or part of the steps in the control method of the hydrogen production system described above. The memory 702 stores various types of data to support the operation of the electronic device 700. This data may include, for example, instructions for any application or method operating on the electronic device 700, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 703 may include a screen and audio components. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 702 or transmitted via communication component 705. The audio component also includes at least one speaker for outputting audio signals. I / O interface 704 provides an interface between processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G technologies, or combinations thereof, is not limited here. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, etc.

[0094] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the control method of the hydrogen production system described above.

[0095] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the control method for the hydrogen production system described above. For example, the computer-readable storage medium may be the memory 702 including program instructions described above, which may be executed by the processor 701 of the electronic device 700 to complete the control method for the hydrogen production system described above.

[0096] In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable device, the computer program having a code portion for performing the control method of the hydrogen production system described above when executed by the programmable device.

[0097] The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the present disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0098] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0099] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A control method for a hydrogen production system, characterized in that, The method includes: Determine the power and cost information of the hydrogen production system; Based on the power information and the cost information, an objective function is constructed. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system. Based on preset constraints, the objective function is solved to obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and the capacity of the hydrogen production system is configured according to each target energy storage capacity.

2. The control method for the hydrogen production system according to claim 1, characterized in that, The power information includes the maximum wind power output and maximum photovoltaic output of the hydrogen production system. The cost information includes the system installation cost, maintenance cost, planned hydrogen production volume, start-up and shutdown costs, and penalty costs. The objective function constructed based on the power information includes: Based on the power information, the following power function is constructed: f powr =min[μ power ·P PVmax +m power ·P windmax -P hy_max ], Where, μ power Characterizing the power factor, P PVmax P represents the maximum wind power output of a hydrogen production system. windmax P represents the maximum photovoltaic output of a hydrogen production system. hy_max Characterizes the maximum hydrogen production power of the hydrogen production system; Based on the cost information, the following loss function is constructed: f cost =min[C invest +C OM +C SU +C loss +C hysell ], Among them, C invest C represents the installed cost of the hydrogen production system. OM C characterizes the maintenance cost of the hydrogen production system. SU C represents the start-up and shutdown cost of the hydrogen production system. loss C represents the penalty cost of the hydrogen production system. hysell Characterizes the planned hydrogen production capacity of the hydrogen production system.

3. The control method for the hydrogen production system according to claim 2, characterized in that, The planned hydrogen production capacity of the hydrogen production system is determined in the following manner: Determine the hydrogen sales price, the rated power of the hydrogen production system, and the installed capacity of wind and solar power; The energy storage operation time of the hydrogen production system is determined based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power. The planned hydrogen production capacity of the hydrogen production system is obtained using the following formula: C hysell =[P hy · (ΔM-T) lack )]·R hy , Among them, P hy The rated power of the hydrogen production system is represented by ΔM, and the total hydrogen production time of the system is represented by T. lack R represents the cold standby or downtime of a hydrogen production system. hy Characterizes the price of hydrogen sold.

4. The control method for the hydrogen production system according to claim 3, characterized in that, The step of determining the energy storage operation time of the hydrogen production system based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power systems includes: Determine the cumulative transfer matrix corresponding to the power output range of the historical power output scenario; The wind and solar power output range corresponding to the wind and solar power output scenario is divided into multiple wind and solar power output intervals. For the time between each wind and solar power output interval, a target random number is determined according to the cumulative transfer matrix. The time length corresponding to each wind and solar power output interval is determined according to the target random number. The total hydrogen production time is determined when the wind and solar power output is less than the preset minimum operating power among the time lengths of the multiple wind and solar power output intervals. Based on the total hydrogen production time and the cold standby or shutdown time of the hydrogen production system, the energy storage operation time of the hydrogen production system is obtained.

5. The control method for the hydrogen production system according to claim 4, characterized in that, The step of determining the time length corresponding to each of the wind and solar power output intervals based on the target random number includes: Based on the target random number, determine the power output state corresponding to the time between multiple wind and solar power output intervals, integrate them into a power output state sequence, and integrate the target random number corresponding to the power output state into a random number sequence; Based on the output state sequence and the random number sequence, the time length of each of the wind and solar power output intervals in the historical wind and solar power output scenarios is determined.

6. The control method for the hydrogen production system according to claim 4, characterized in that, The step of determining the cumulative transfer matrix corresponding to the wind and solar power output range of the historical wind and solar power output scenario includes: Based on the transition probability of the first output state corresponding to each moment and the second output state corresponding to the next moment in the historical landscape output scenario, determine the transition matrix between the current moment and the next moment. The transition matrices corresponding to all moments of the historical landscape power output scenario are integrated into a cumulative transition matrix.

7. The control method for the hydrogen production system according to claim 4, characterized in that, The step of determining random numbers based on the cumulative transition matrix includes: Determine the initial random number; When the initial random number is between the first transition matrix and the second transition matrix, the initial random number is used as the target random number. The first transition matrix is ​​the transition matrix corresponding to the current time, and the second transition matrix is ​​the transition matrix corresponding to the candidate transition time.

8. The control method for the hydrogen production system according to any one of claims 1-7, characterized in that, The method further includes: When the grid-connecting equipment of the hydrogen production system includes a new energy grid, the maximum economic power of the hydrogen production system is determined based on the rated power of the hydrogen production system, and the hydrogen production system is controlled to switch the grid connection mode in a first preset mode based on the maximum economic power. If the grid-connecting equipment of the hydrogen production system does not include new energy grid connection, the system is controlled to switch the grid connection mode in a second preset mode according to the rated power of the hydrogen production system.

9. The control method for the hydrogen production system according to claim 8, characterized in that, The step of controlling the hydrogen production system to switch the grid configuration in a first preset mode based on the highest economic power includes: If the real-time maximum operating power of the wind power in the hydrogen production system is greater than or equal to the highest economic power, or if the real-time maximum operating power of the photovoltaic power in the hydrogen production system is greater than or equal to the highest economic power, the hydrogen production system shall be controlled to switch to a new energy grid connection. If the real-time maximum operating power of the wind power in the hydrogen production system is less than the highest economic power, and the real-time maximum operating power of the photovoltaic power in the hydrogen production system is less than the highest economic power, the hydrogen production system shall be controlled to switch to either energy storage grid or hydrogen production power grid.

10. The control method for the hydrogen production system according to claim 9, characterized in that, The control of switching the hydrogen production system to a new energy grid includes: If the real-time maximum operating power of the wind power in the hydrogen production system is greater than the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to wind power grid connection. If the real-time maximum operating power of the wind power in the hydrogen production system is less than or equal to the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to photovoltaic grid connection.

11. The control method for the hydrogen production system according to claim 8, characterized in that, The step of controlling the hydrogen production system to switch its grid configuration in a second preset mode based on the rated power of the hydrogen production system includes: When the rated power is less than or equal to the preset minimum power of the hydrogen production system, the hydrogen production system is controlled to switch to a hydrogen production system network. When the rated power is greater than the preset minimum power of the hydrogen production system, the real-time energy storage power of the hydrogen production system is less than the preset minimum power of the hydrogen production system, and the real-time charge of the hydrogen production system is less than or equal to the preset minimum charge, the hydrogen production system is controlled to switch to energy storage grid construction.

12. A control device for a hydrogen production system, characterized in that, The device includes: A determination module is used to determine the power information and cost information of the hydrogen production system; An execution module is used to construct an objective function based on the power information and the cost information. The objective function is used to characterize the calculation of the target energy storage capacity of each subsystem in the hydrogen production system based on the cost and power of the hydrogen production system. The control module is used to solve the objective function according to preset constraints, obtain the target energy storage capacity corresponding to each subsystem in the hydrogen production system, and configure the capacity of the hydrogen production system according to each target energy storage capacity.

13. The control device for the hydrogen production system according to claim 12, characterized in that, The power information includes the maximum wind power output and maximum photovoltaic output of the hydrogen production system. The cost information includes the system installation cost, maintenance cost, planned hydrogen production, start-up and shutdown costs, and penalty costs. The execution module is used to construct the following power function based on the power information: f powr =min[μ power ·P PVmax +m power ·P windmax -P hy_max ], Where, μ power Characterizing the power factor, P PVmax P represents the maximum wind power output of a hydrogen production system. windmax P represents the maximum photovoltaic output of a hydrogen production system. hy_max Characterizes the maximum hydrogen production capacity of the hydrogen production system; Based on the cost information, the following loss function is constructed: f cost =min[C invest +C OM +C SU +C loss +C hysell ], Among them, C invest C represents the installed cost of the hydrogen production system. OM C characterizes the maintenance cost of the hydrogen production system. SU C represents the start-up and shutdown cost of the hydrogen production system. loss C represents the penalty cost of the hydrogen production system. hysell Characterizes the planned hydrogen production capacity of the hydrogen production system.

14. The control device for the hydrogen production system according to claim 13, characterized in that, The determining module is used to determine the hydrogen sales price, the rated power of the hydrogen production system, and the wind and solar installed capacity information. The energy storage operation time of the hydrogen production system is determined based on the historical wind and solar power output scenarios and the installed capacity information of the wind and solar power. The planned hydrogen production capacity of the hydrogen production system is obtained using the following formula: C hysell =[P hy · (ΔM-T) lack )]·R hy , Among them, P hy The rated power of the hydrogen production system is represented by ΔM, and the total hydrogen production time of the system is represented by T. lack R represents the cold standby or downtime of a hydrogen production system. hy Characterizes the price of hydrogen sold.

15. The control device for the hydrogen production system according to claim 14, characterized in that, The determining module is used to determine the cumulative transfer matrix corresponding to the wind and solar power output range of the historical wind and solar power output scenario. The wind and solar power output range corresponding to the wind and solar power output scenario is divided into multiple wind and solar power output intervals. For the time between each wind and solar power output interval, a target random number is determined according to the cumulative transfer matrix. The time length corresponding to each wind and solar power output interval is determined according to the target random number. The total hydrogen production time is determined when the wind and solar power output is less than the preset minimum operating power among the time lengths of the multiple wind and solar power output intervals. Based on the total hydrogen production time and the cold standby or shutdown time of the hydrogen production system, the energy storage operation time of the hydrogen production system is obtained.

16. The control device for the hydrogen production system according to claim 15, characterized in that, The determining module is used to determine the output state corresponding to the time between multiple wind and solar power output intervals based on the target random number, integrate them into an output state sequence, and integrate the target random number corresponding to the output state into a random number sequence. Based on the output state sequence and the random number sequence, the time length of each of the wind and solar power output intervals in the historical wind and solar power output scenarios is determined.

17. The control device for the hydrogen production system according to claim 15, characterized in that, The determining module is used to determine the transition matrix between the current moment and the next moment based on the transition probability of the first output state corresponding to each moment and the second output state corresponding to the next moment in the historical landscape output scenario. The transition matrices corresponding to all moments of the historical landscape power output scenario are integrated into a cumulative transition matrix.

18. The control device for the hydrogen production system according to claim 15, characterized in that, The determining module is used to determine the initial random number; When the initial random number is between the first transition matrix and the second transition matrix, the initial random number is used as the target random number. The first transition matrix is ​​the transition matrix corresponding to the current time, and the second transition matrix is ​​the transition matrix corresponding to the candidate transition time.

19. The control device for the hydrogen production system according to any one of claims 12-18, characterized in that, The control module is used to determine the economically optimal power of the hydrogen production system based on the rated power of the hydrogen production system when the grid-connecting equipment of the hydrogen production system includes a new energy grid, and to control the hydrogen production system to switch the grid-connecting mode in a first preset mode based on the economically optimal power. If the grid-connecting equipment of the hydrogen production system does not include new energy grid connection, the system is controlled to switch the grid connection mode in a second preset mode according to the rated power of the hydrogen production system.

20. The control device for the hydrogen production system according to claim 18, characterized in that, The control module is used to control the hydrogen production system to switch to a new energy grid when the real-time maximum operating power of the wind power in the hydrogen production system is greater than or equal to the economic maximum power, or the real-time maximum operating power of the photovoltaic power in the hydrogen production system is greater than or equal to the economic maximum power. If the real-time maximum operating power of the wind power in the hydrogen production system is less than the highest economic power, and the real-time maximum operating power of the photovoltaic power in the hydrogen production system is less than the highest economic power, the hydrogen production system shall be controlled to switch to either energy storage grid or hydrogen production power grid.

21. The control device for the hydrogen production system according to claim 20, characterized in that, The control module is used to control the hydrogen production system to switch to wind power grid connection when the real-time maximum operating power of wind power in the hydrogen production system is greater than the real-time maximum operating power of photovoltaic power in the hydrogen production system. If the real-time maximum operating power of the wind power in the hydrogen production system is less than or equal to the real-time maximum operating power of the photovoltaic power in the hydrogen production system, the hydrogen production system shall be switched to photovoltaic grid connection.

22. The control device for the hydrogen production system according to claim 19, characterized in that, The control module is used to control the hydrogen production system to switch to a hydrogen production system network when the rated power is less than or equal to the preset minimum power of the hydrogen production system. When the rated power is greater than the preset minimum power of the hydrogen production system, the real-time energy storage power of the hydrogen production system is less than the preset minimum power of the hydrogen production system, and the real-time charge of the hydrogen production system is less than or equal to the preset minimum charge, the hydrogen production system is controlled to switch to energy storage grid construction.

23. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1-11.

24. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the method of any one of claims 1-11.

25. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1-11.

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