A wind-solar complementary hydrogen synthesis-ammonia synthesis integrated intelligent dynamic regulation method and device

Abstract

This application discloses an integrated intelligent dynamic control method and equipment for wind-solar hybrid hydrogen production and ammonia synthesis, relating to the field of ammonia synthesis power supply. The method includes: constructing an integrated system; setting constraints based on operating parameters; dividing the system into high-output and low-output photovoltaic periods according to the operating mode; constructing a basic power balance model; dynamically optimizing the control strategy of the basic power balance model based on the high-output and low-output photovoltaic periods to obtain a day-night time-sharing control model; and dynamically feeding back and controlling the entire hydrogen production-ammonia synthesis process using the day-night time-sharing control model based on the system's operating state, constraints, and objective function. This application controls hydrogen production-ammonia synthesis through time-sharing regulation of wind and solar output, coordinated scheduling of energy storage, and hydrogen buffer regulation, reducing power supply fluctuations and electrolytic hydrogen production load fluctuations, improving the matching degree between the energy supply end and the ammonia synthesis reaction, thereby improving the stability of ammonia synthesis yield and the system's continuous operation capability.

Description

Technical Field

[0001] This application relates to the field of ammonia synthesis power supply, and in particular to an intelligent dynamic control method and equipment for integrated hydrogen production and ammonia synthesis using wind and solar power. Background Technology

[0002] Driven by dual-carbon goals, the installed capacity of renewable energy sources, represented by wind and solar power, continues to grow. However, wind and solar power generation are greatly affected by weather conditions, and their output power is random and fluctuating, making it difficult to directly meet the continuous and stable energy supply requirements of industrial processes. How to efficiently absorb and convert this fluctuating renewable energy into high-value-added energy has become an important research direction in the new energy field. Electrolysis of water to produce hydrogen can convert electrical energy into hydrogen energy, serving as a crucial bridge connecting renewable energy and the chemical industry. However, the ammonia synthesis process requires high stability of reaction conditions and a continuous and stable hydrogen supply. Therefore, when coupling wind and solar power generation with the hydrogen production-ammonia synthesis process, achieving stable operation under fluctuating power supply conditions becomes a key issue.

[0003] In existing technologies, for the coupled wind-solar hydrogen production and ammonia synthesis processes, the main approach is to directly superimpose wind and solar power generation for power supply. This lack of a strategy for adjusting energy allocation based on diurnal variations means that energy storage units are often in a passive adjustment state, making it difficult to achieve optimized energy utilization across time scales. This results in significant fluctuations in electrolyzer load and poor stability in ammonia synthesis yield. Furthermore, existing technologies lack proactive time-sharing control mechanisms to address diurnal differences in wind and solar power output. Wind power allocation strategies are unclear, and energy storage units primarily employ passive adjustment methods. Moreover, the dynamic matching relationship between the hydrogen production and ammonia synthesis processes is not considered, causing power supply fluctuations to be transmitted to the chemical processes and affecting overall operational stability. Summary of the Invention

[0004] The purpose of this application is to provide an integrated intelligent dynamic control method and equipment for wind and solar complementary hydrogen production and ammonia synthesis. This method can control hydrogen production and ammonia synthesis through the coordinated optimization control of wind energy, solar energy and energy storage units, reduce power supply fluctuations and electrolytic hydrogen production load fluctuations, improve the coordination of the energy supply side, and thus improve the stability of ammonia synthesis yield.

[0005] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides an intelligent dynamic control method for integrated wind-solar hydrogen production and ammonia synthesis, comprising: constructing an integrated wind-solar hydrogen production and ammonia synthesis system; setting constraints based on the operating parameters of the integrated system; the constraints including: electrolyzer input power constraints, energy storage capacity constraints, and hydrogen buffer storage constraints; dividing the integrated system into high-output photovoltaic periods and low-output photovoltaic periods according to the operating mode; the high-output photovoltaic periods use photovoltaic power generation as the main energy source, and dynamically allocate power supply and energy storage according to the wind power output; the low-output photovoltaic periods use wind power and energy storage... The system primarily relies on solar power generation for energy supply, utilizing energy storage discharge to compensate for power shortages. A basic power balance model for the integrated system is constructed, and the control strategy is dynamically optimized based on the high and low output periods of the photovoltaic system to obtain a day-night time-sharing control model. This model includes daytime and nighttime control strategies. Based on the integrated system's operating status, constraints, and objective function, the day-night time-sharing control model is used to dynamically feedback-control the entire hydrogen production-ammonia synthesis process. The objective function aims to minimize power supply deviation, electrolyzer power fluctuations, and ammonia synthesis yield deviations.

[0006] Secondly, this application also provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to realize the integrated intelligent dynamic control method for wind-solar hybrid hydrogen production-ammonia synthesis described in the first aspect.

[0007] Based on the specific embodiments provided in this application, the following technical effects are disclosed.

[0008] This application constructs an integrated hydrogen production-ammonia synthesis system with wind and solar power complementarity, and sets constraints on electrolyzer input power, energy storage capacity, and hydrogen buffer storage based on operating parameters. Then, based on the diurnal characteristics of photovoltaic output, the system is divided into high-output and low-output periods: during high-output periods, photovoltaic power generation is the primary energy source, and the ratio of wind power used for direct supply and energy storage is dynamically determined based on wind power output; during low-output periods, wind power and energy storage discharge are the primary energy sources, utilizing energy storage discharge to compensate for power supply gaps. A basic power balance model is then constructed, and daytime and nighttime control strategies are optimized separately to form a diurnal time-sharing control model. Finally, based on the actual operating state of the system, constraints, and an objective function that minimizes power supply deviation, electrolyzer power fluctuation, and ammonia synthesis yield deviation, the diurnal time-sharing control model is used to dynamically feedback and control the entire hydrogen production-ammonia synthesis process. This application controls the hydrogen production-ammonia synthesis process by adjusting the output of wind and solar power in a time-sharing manner, coordinating energy storage scheduling, and using hydrogen buffering regulation. This reduces power supply fluctuations and electrolytic hydrogen production load fluctuations, improves the matching degree between the energy supply end and the ammonia synthesis reaction, and thus enhances the stability of ammonia synthesis yield and the continuous operation capability of the system. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, 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.

[0010] Figure 1 This is a schematic diagram of the integrated wind-solar hybrid hydrogen production-ammonia synthesis system provided in the embodiments of this application.

[0011] Figure 2 This is a schematic flowchart of the integrated intelligent dynamic control method for wind-solar hybrid hydrogen production and ammonia synthesis provided in the embodiments of this application.

[0012] Figure 3 The wind power and photovoltaic output characteristic curves provided for embodiments of this application.

[0013] Figure 4 A power supply comparison curve provided for an embodiment of this application.

[0014] Figure 5 A graph showing the change in the state of charge of the energy storage unit provided in the embodiments of this application.

[0015] Figure 6 A comparison curve of hydrogen production rate provided for embodiments of this application.

[0016] Figure 7A comparative curve of ammonia synthesis yield provided for embodiments of this application.

[0017] Figure 8 The graph shows the change in hydrogen storage capacity of the hydrogen buffer unit provided in the embodiments of this application.

[0018] Figure 9 This is an internal structural diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0019] 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.

[0020] 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.

[0021] Example 1, such as Figures 1-2 As shown, this embodiment provides an integrated intelligent dynamic control method for wind-solar hybrid hydrogen production and ammonia synthesis, the method comprising: S1. Construct an integrated hydrogen production-ammonia synthesis system that combines wind and solar power.

[0022] Optionally, the wind-solar hybrid hydrogen production-ammonia synthesis integrated system includes: a wind power generation unit, a photovoltaic power generation unit, an energy storage unit, a water electrolysis hydrogen production unit, a hydrogen buffer unit, a nitrogen preparation unit, an ammonia synthesis reaction unit, and an intelligent control unit.

[0023] 1) Wind power generation unit, used to provide fluctuating wind power input.

[0024] 2) Photovoltaic power generation unit, used to provide photovoltaic power with diurnal cycle characteristics.

[0025] 3) Energy storage unit, used to store and release electrical energy.

[0026] 4) Electrolysis water hydrogen production unit, used to convert electrical energy into hydrogen gas.

[0027] 5) Hydrogen buffer unit: used to temporarily store hydrogen produced by water electrolysis and smooth hydrogen supply fluctuations. It can decouple the hydrogen production process from the ammonia synthesis process and adjust the hydrogen output flow rate through hydrogen storage feedback.

[0028] 6) Nitrogen preparation unit, used to provide the nitrogen required for the ammonia synthesis reaction.

[0029] 7) Ammonia synthesis reaction unit, used to react hydrogen and nitrogen to produce ammonia.

[0030] 8) Intelligent control unit, used to realize multi-energy flow coordinated regulation.

[0031] Optionally, the intelligent control unit is connected to the wind power generation unit, photovoltaic power generation unit, energy storage unit, water electrolysis hydrogen production unit, hydrogen buffer unit, and ammonia synthesis reaction unit, respectively, to acquire wind power output, photovoltaic power output, energy storage state of charge, electrolyzer input power, hydrogen buffer storage, and ammonia synthesis yield in real time, and to dynamically adjust the wind power allocation ratio, energy storage charging and discharging power, electrolyzer input power, and hydrogen output flow rate according to the above operating status.

[0032] Each unit is coupled and connected through electrical energy flow, hydrogen energy flow and material flow, forming a multi-energy flow collaborative operation system.

[0033] Optionally, the hydrogen buffer unit can reverse the load on the hydrogen production unit when the hydrogen storage capacity approaches its upper or lower limit. The hydrogen buffer unit limits the rate of change in the hydrogen flow rate input to the ammonia synthesis unit through delayed adjustment or smoothing.

[0034] S2. Set constraints based on the operating parameters of the integrated system; the constraints include: electrolyzer input power constraints, energy storage capacity constraints, and hydrogen buffer storage constraints.

[0035] Optionally, the operating parameters include at least the feed ratio, reaction temperature, and pressure range of the ammonia synthesis reaction unit.

[0036] Furthermore, the expression for the input power constraint of the electrolytic cell is as follows.

[0037] .

[0038] .

[0039] In the formula, for The input power of the electrolytic cell at any given time; This represents the minimum input power to the electrolytic cell. This represents the maximum input power of the electrolytic cell. for Total power supply at any given time.

[0040] Optional, .

[0041] Furthermore, the expression for the energy storage capacity constraint is as follows.

[0042] .

[0043] .

[0044] .

[0045] In the formula, for The state of charge at any given time; This represents the minimum value of the state of charge. This represents the maximum value of the state of charge quantity; for The amount of energy stored in the energy storage unit at any given time; for The amount of energy stored in the energy storage unit at any given time; The charging efficiency of the energy storage unit; for The charging power of the energy storage unit at all times; for The discharge power of the energy storage unit at any given time; The discharge efficiency of the energy storage unit; This refers to the interval duration.

[0046] Furthermore, the expression for the hydrogen buffer storage constraint is as follows.

[0047] .

[0048] .

[0049] In the formula, for Hydrogen buffer reserves at any given time; This represents the minimum hydrogen buffer storage capacity. This represents the maximum hydrogen buffer storage capacity. for Hydrogen buffer reserves at any given time; for The amount of hydrogen produced at any given time; for Hydrogen consumption at any given time.

[0050] S3. The integrated system is divided into high-output photovoltaic periods and low-output photovoltaic periods according to the operating mode; the high-output photovoltaic periods use photovoltaic power generation as the main energy source, and the power supply and energy storage are dynamically allocated according to the wind power output; the low-output photovoltaic periods use wind power and energy storage discharge as the main energy sources, and the energy storage discharge is used to compensate for the power supply gap.

[0051] In practical applications, during periods of high photovoltaic output (high photovoltaic output periods), the wind power allocation ratio is adjusted. This allows some wind power to directly supply electricity, while the remainder is used for energy storage; during periods of low photovoltaic output, energy storage is used to supply electricity in conjunction with wind power. The wind power allocation ratio is a continuously changing function and is dynamically adjusted according to wind power output, photovoltaic output, and energy storage status.

[0052] During periods of high photovoltaic output, the system primarily supplies power through photovoltaic power, while inputting surplus wind power into the energy storage unit. During periods of low photovoltaic output, the system supplies power through a combination of wind power and energy storage discharge. The energy storage unit charges when there is surplus power and discharges when power supply is insufficient, and its operating state is constrained by its state of charge.

[0053] Optionally, the photovoltaic high-output period and photovoltaic low-output period can be divided according to the photovoltaic output threshold, preset time interval or photovoltaic output change trend, and the energy storage charging and discharging power and electrolytic cell input power can be smoothly controlled during the time period switching process to avoid sudden changes in operating state.

[0054] S4. Construct a basic power balance model for the integrated system, and dynamically optimize the control strategy of the basic power balance model according to the high output period and low output period of photovoltaic power to obtain a day and night time-sharing control model; the day and night time-sharing control model includes: daytime control strategy and nighttime control strategy.

[0055] In practical applications, the schematic diagram of the integrated wind-solar hybrid hydrogen production-ammonia synthesis system described in this embodiment is as follows: Figure 1 As shown in the figure, this diagram illustrates the overall composition of the system and the coupling relationship between energy flow and material flow. It includes a wind power generation unit, a photovoltaic power generation unit, an energy storage unit, an electrolysis hydrogen production unit, a hydrogen buffer unit, a nitrogen production unit, an ammonia synthesis reaction unit, and a control system. Each unit is interconnected through electrical energy flow, hydrogen energy flow, and nitrogen energy flow. Based on the system structure and parameter settings described above, an intelligent dynamic control method is used for simulation verification to analyze the system's operating characteristics under fluctuating wind and solar power conditions. The main parameter settings for each module are shown in Table 1.

[0056] Table 1 Main parameter settings for each unit

[0057] In this embodiment, Simulink simulation modeling is used to verify the operation of the integrated wind-solar hybrid hydrogen production-ammonia synthesis system.

[0058] Furthermore, the expression for the basic power balance model is as follows.

[0059] .

[0060] .

[0061] In the formula, for Total power supply at any given time; for Solar power output at all times; for Wind power output at any given moment; for The proportion of direct wind power supply at any given time; for The energy storage and discharge power at any given moment; for The energy storage and charging power at any given time; for The wind power supply capacity at any given time; for Energy storage capacity at any given time; for The wind curtailment power at any given time.

[0062] Optional, .

[0063] Optional, .

[0064] Optional, .

[0065] Optionally, the wind power allocation ratio The power supply is dynamically determined based on wind power output, solar power output, energy storage state of charge, and the system's target power supply. When solar power output is high and the energy storage unit has not reached its state of charge limit, the proportion of direct wind power supply is reduced and the proportion of energy storage charging is increased; when solar power output is low or the system power supply is insufficient, the proportion of direct wind power supply is increased, and the power supply gap is compensated by energy storage discharge.

[0066] Furthermore, the expression for the total power supply corresponding to the daytime control strategy is as follows.

[0067] .

[0068] .

[0069] In the formula, for Total power supply at any given time; for The proportion of direct wind power supply at any given time; for Solar power output at all times; for Wind power output at any given moment; for The energy storage and discharge power at any given moment; for Energy storage and charging power at any given time.

[0070] Furthermore, the expression for the total power supply corresponding to the nighttime control strategy is as follows.

[0071] .

[0072] .

[0073] .

[0074] In the formula, for Total power supply at any given time; for Wind power output at any given moment; for The energy storage and discharge power at any given moment; for The energy storage and charging power at any given time; This represents the maximum energy storage discharge power. Maximum energy storage charging power; Provide the target power supply.

[0075] S5. Based on the operating status, constraints, and objective function of the integrated system, a day-night time-sharing control model is used to dynamically feedback control the entire process of hydrogen production and ammonia synthesis; the objective function aims to minimize power supply deviation, electrolyzer power fluctuation, and ammonia synthesis yield deviation.

[0076] Furthermore, the objective function is: .

[0077] .

[0078] .

[0079] .

[0080] In the formula, The objective function for system comprehensive optimization; The weighting coefficient corresponding to the power supply deviation; The weighting coefficient corresponding to the power fluctuation of the electrolytic cell; The weighting coefficient corresponding to the deviation in ammonia synthesis yield; For system power supply deviation; This is due to deviations in the ammonia synthesis yield. Total power supply to the system; Provide the target power supply for the system; This represents the change in input power to the electrolytic cell at adjacent time points; This represents the actual ammonia synthesis yield. The target is the ammonia synthesis yield.

[0081] Furthermore, the dynamic feedback control includes the coordinated adjustment of the wind power allocation ratio, energy storage charging and discharging power, electrolyzer input power, and hydrogen output flow rate.

[0082] Optionally, the entire process of hydrogen production and ammonia synthesis includes at least: a water electrolysis hydrogen production process, a hydrogen buffer process, a nitrogen preparation process, and an ammonia synthesis reaction process.

[0083] Optionally, the hydrogen produced by the water electrolysis hydrogen production unit in the hydrogen buffer process is preferentially fed into the hydrogen buffer unit. The intelligent control system dynamically adjusts the electrolyzer load and energy storage charging and discharging strategy according to the hydrogen buffer unit's inventory, hydrogen production rate, and ammonia synthesis demand, so that the hydrogen flow rate entering the ammonia synthesis reaction unit tends to be stable.

[0084] The dynamic adjustment relationship of the hydrogen buffer unit is as follows: .

[0085] in, This refers to the hydrogen storage capacity of the buffer tank. The hydrogen production rate; This represents the hydrogen consumption rate for ammonia synthesis.

[0086] The hydrogen output satisfies the following feedback regulation relationship.

[0087] .

[0088] in, Based on the standard hydrogen consumption; For reference hydrogen storage levels; This is the adjustment coefficient.

[0089] Optionally, when the hydrogen buffer storage is higher than the reference hydrogen storage, the intelligent control unit increases the hydrogen output flow rate or reduces the electrolyzer load; when the hydrogen buffer storage is lower than the reference hydrogen storage, the intelligent control unit reduces hydrogen output fluctuations or increases the electrolyzer input power to maintain stable hydrogen supply to the ammonia synthesis reaction unit.

[0090] Through the above adjustment mechanisms, the hydrogen supply is stabilized, reducing the transfer of fluctuations to the ammonia synthesis process.

[0091] Optionally, the hydrogen production and ammonia synthesis model is as follows.

[0092] .

[0093] .

[0094] The dynamic response expression is as follows.

[0095] .

[0096] The hydrogen output control expression is as follows.

[0097] .

[0098] In practical applications, real-time acquisition of system operation data allows for feedback correction of power supply deviations and load fluctuations, as well as adjustments to the wind power allocation ratio. The energy storage charging and discharging strategy is dynamically updated to achieve closed-loop control.

[0099] Optionally, the intelligent control unit performs rolling optimization and updates on the target power supply, wind power allocation ratio, and energy storage regulation strategy based on real-time operating data to improve the system's dynamic response capability under fluctuating operating conditions.

[0100] As an optional implementation, comparative experiments were conducted by setting up a set of embodiments employing the wind-solar hybrid integrated intelligent dynamic control method for hydrogen production and ammonia synthesis according to this application, and a set of comparative examples not employing the wind-solar hybrid integrated intelligent dynamic control method for hydrogen production and ammonia synthesis according to this application, in order to analyze the impact of the method of the present invention on the system's operational stability. The comparative examples adopted a conventional power supply method, that is, wind power generation and photovoltaic power generation were directly superimposed to supply power to the hydrogen production and ammonia synthesis system. The energy storage unit was passively charged only when the system had a power surplus and passively discharged when the system power was insufficient. There was no time-sharing dynamic control of prioritizing wind power storage during the day and coordinating energy storage power supply at night, nor was there any active optimization adjustment for hydrogen fluctuations.

[0101] The parameters of each functional unit using the intelligent dynamic control method are set as follows, with the nitrogen preparation unit operating under rated conditions. The simulation period is set to 24 hours, the time step to 60 seconds, the system target power supply to 260 kW, the energy storage capacity to 1800 kWh, the initial state of charge to 45%, and the electrolyzer operating power range to 80 kW to 320 kW.

[0102] (1) The wind power unit adopts a stochastic fluctuation model, and its main parameters are as follows.

[0103] Rated power Fluctuation range Random disturbance coefficient Periodic disturbance period .

[0104] The wind power output is composed of a reference power superimposed with periodic disturbances and random noise, used to simulate the power fluctuation characteristics caused by actual wind speed changes.

[0105] (2) The main parameters of the photovoltaic unit are as follows.

[0106] Peak power =220kW; Output time range =6-18h; Output curve exponent β=1.4; Sunshine cycle =24h. Photovoltaic power output exhibits a typical diurnal cycle variation.

[0107] (3) The main parameters of the energy storage unit are as follows.

[0108] Energy storage capacity Initial SOC = 45%; SOC range = 15%–95%; Maximum charging power Maximum discharge power Charging efficiency Discharge efficiency .

[0109] Energy storage units are used to transfer electrical energy over time, charging during the day and discharging at night to maintain a stable power supply to the system.

[0110] (4) The main parameters of the electrolysis hydrogen production unit are as follows.

[0111] Minimum operating power Maximum operating power Electrolysis efficiency Hydrogen production coefficient This unit is used to convert electrical energy into hydrogen energy.

[0112] (5) The main parameters of the hydrogen buffer unit are as follows.

[0113] Buffer capacity Initial hydrogen storage capacity The hydrogen input flow rate is provided by the hydrogen production unit, and the output flow rate is dynamically adjusted by the control system to achieve a smooth hydrogen supply process.

[0114] (6) The main parameters of the ammonia synthesis unit are as follows.

[0115] Conversion coefficient Dynamic time constant Minimum yield Maximum yield This unit is used to react hydrogen and nitrogen to produce ammonia.

[0116] By setting the above parameters, a multi-energy flow coupled system model was constructed, comprising wind power, photovoltaics, energy storage, hydrogen electrolysis, hydrogen buffering, and ammonia synthesis units. Wind power and photovoltaics serve as input energy sources; the energy storage unit regulates energy timing; the hydrogen electrolysis unit converts electrical energy into hydrogen; the hydrogen buffering unit dynamically matches hydrogen supply and consumption; and the ammonia synthesis unit outputs the final product, thus forming a complete wind-solar-energy storage-hydrogen production-buffering-ammonia synthesis collaborative operation system.

[0117] The operation process and control effects of the integrated wind-solar hybrid hydrogen production-ammonia synthesis system are as follows.

[0118] like Figure 3 As shown, both wind and solar power generation exhibit significant fluctuations. Solar power output is high during the day but close to zero at night; wind power output occurs throughout the day, but experiences random fluctuations and localized peak variations. Therefore, renewable energy power supply exhibits diurnal variations and short-term fluctuations, making it difficult to directly meet the continuous and stable power requirements of hydrogen production and ammonia synthesis processes. Consequently, energy storage units and dynamic control strategies are needed to smooth out these fluctuations.

[0119] like Figure 4 As shown in the embodiments of this application, after adopting the day-night time-sharing dynamic control method, the overall power supply of the system is closer to the target power, and the fluctuation range is significantly reduced. During the daytime, the system prioritizes the use of photovoltaic power generation for energy supply and stores some wind power in the energy storage unit; during the nighttime, the system supplies power through a combination of wind power and energy storage, achieving energy allocation across the day-night time scale. In contrast, in the comparative example, where wind power and photovoltaic power generation are directly superimposed for power supply and passive energy storage is used for regulation, the system's power supply is more significantly affected by wind and solar power fluctuations.

[0120] like Figure 5 As shown, in this embodiment, the energy storage unit continuously charges during the day and gradually discharges at night, exhibiting a significant peak-shaving and valley-filling effect. This indicates that the time-sharing dynamic control method proposed in this application can fully utilize the high-efficiency output periods of photovoltaic power and realize the cross-time transfer of wind power, improving the regulation capability of the energy storage unit in the system. In contrast, the charging and discharging behavior of the energy storage unit in the comparative example mainly depends on instantaneous power surplus and deficit, and its active regulation capability is weak.

[0121] like Figure 6 As shown, the hydrogen production rate in the embodiment changes more smoothly, indicating that fluctuations in the input power of the electrolyzer are suppressed. Since the water electrolysis hydrogen production unit is highly sensitive to changes in input power, large power fluctuations can affect the stability and efficiency of the equipment. Therefore, the method of this application can improve the operating conditions of the electrolyzer and enhance the stability of the hydrogen production process.

[0122] like Figure 7 As shown, the ammonia synthesis yield curve is smoother and the yield fluctuation is significantly lower than that of the comparative example after adopting the method of this application. This indicates that by dynamically allocating wind power, coordinating energy storage regulation, and buffering hydrogen control, the hydrogen supply process entering the ammonia synthesis reaction unit is made more stable, thereby improving the continuous operation capability and stability of the ammonia synthesis process.

[0123] like Figure 8As shown, the hydrogen buffer inventory changes more smoothly and orderly in this embodiment, playing a regulatory role between the hydrogen production rate and the hydrogen consumption rate. The hydrogen buffer unit constructs a buffer layer between the hydrogen production process and the ammonia synthesis process in the system, achieving decoupling between the two and preventing front-end power fluctuations from being directly transmitted to the ammonia synthesis reaction process, thereby further improving the overall system's anti-disturbance capability.

[0124] In summary, this embodiment achieves optimized control of multi-energy flow coupling of electricity, hydrogen energy, and chemical processes under wind-solar complementary conditions by constructing a collaborative operation mechanism for wind and solar power generation, energy storage, hydrogen production, hydrogen buffering, and ammonia synthesis processes, thereby improving system operational stability and energy utilization efficiency.

[0125] Further statistical results show that after adopting the control method of this application embodiment, the fluctuation range of the system power supply is reduced by about 20% to 40%, the standard deviation of the electrolyzer input power fluctuation is reduced by about 30%, and the fluctuation range of the synthetic ammonia yield is reduced by about 25% to 35%. This indicates that the day-night time-sharing dynamic control strategy proposed in this application can suppress the impact of renewable energy fluctuations on system operation and improve the overall stability and continuity of system operation.

[0126] Through the comparative analysis of the above embodiments and comparative examples, it can be seen that the wind-solar-energy storage-hydrogen buffer synergistic dynamic control method based on day and night time sequence characteristics proposed in this application can prioritize the use of high-efficiency photovoltaic power and store part of the wind power during the daytime, release the stored power and combine it with wind power for energy supply during the nighttime, and at the same time use the hydrogen buffer unit to smooth the hydrogen supply process, thereby reducing the power fluctuation of the electrolyzer and the ammonia synthesis yield fluctuation, and improving the continuous operation capability and energy utilization efficiency of the system.

[0127] The technical effects of this application are as follows: 1) By constructing a wind power and photovoltaic coordinated energy supply mechanism, we can achieve complementary utilization of multiple renewable energy sources, reduce the impact of single energy fluctuations on system operation, and improve the utilization efficiency of renewable energy.

[0128] 2) By introducing energy storage units and combining them with time-sharing dynamic control strategies, the transfer of electrical energy on a time scale can be realized. Energy is stored during periods of high photovoltaic output and released during periods of low output, thereby smoothing out power supply fluctuations and improving power supply stability.

[0129] 3) By establishing a dynamic power regulation mechanism for the electrolysis hydrogen production unit, the electrolyzer can operate stably within the allowable power range, reducing the adverse effects of input power fluctuations on the hydrogen production process and improving the reliability of equipment operation.

[0130] 4) By setting up a hydrogen buffer unit and constructing a dynamic adjustment model based on hydrogen storage feedback, the hydrogen production process and the ammonia synthesis process are decoupled, thus reducing the transmission of fluctuations in the electricity, hydrogen, and ammonia chain.

[0131] 5) By dynamically adjusting the hydrogen supply, the flow rate of hydrogen entering the ammonia synthesis reaction unit tends to be stable, thereby improving the continuity and stability of the ammonia synthesis process.

[0132] 6) By constructing a multi-energy flow coupling model of wind and solar power-energy storage-hydrogen production-buffering-ammonia synthesis, the energy side and the chemical process side can be synergistically optimized, thereby improving the overall system operating efficiency and engineering applicability.

[0133] 7) The proposed intelligent dynamic control method can realize real-time feedback correction and rolling optimization of the system's operating status, enabling the system to maintain stable operation under complex and fluctuating conditions, and has good application prospects.

[0134] In summary, this application controls the hydrogen production-ammonia synthesis process by adjusting the output of wind and solar power, coordinating energy storage scheduling, and using hydrogen buffering regulation. This reduces power supply fluctuations and electrolytic hydrogen production load fluctuations, improves the matching degree between the energy supply end and the ammonia synthesis reaction, and thus enhances the stability of ammonia synthesis yield and the continuous operation capability of the system.

[0135] Example 2: This example provides a computer device, which can be a server or a terminal, and its internal structure diagram can be as follows. Figure 9 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and databases. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the aforementioned methods.

[0136] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0137] Those skilled in the art will understand that all or part of the processes in 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. When executed, the computer program can include the processes of the embodiments described above. 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).

[0138] The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0139] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0140] 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 smart dynamic control method for integrated wind-solar hydrogen production and ammonia synthesis, characterized in that, The method includes: Construct an integrated hydrogen production and ammonia synthesis system that combines wind and solar power; The constraints are set based on the operating parameters of the integrated system; the constraints include: electrolyzer input power constraints, energy storage capacity constraints, and hydrogen buffer storage constraints. The integrated system is divided into high-output photovoltaic periods and low-output photovoltaic periods according to the operating mode. During the high-output photovoltaic periods, photovoltaic power generation is the main energy source, and the power supply and energy storage are dynamically allocated according to the wind power output. During the low-output photovoltaic periods, wind power and energy storage discharge are the main energy sources, and energy storage discharge is used to compensate for the power supply gap. A basic power balance model for an integrated system is constructed. The control strategy of the basic power balance model is dynamically optimized according to the high output period and low output period of photovoltaic power to obtain a day and night time-sharing control model. The day and night time-sharing control model includes a daytime control strategy and a nighttime control strategy. Based on the operating status, constraints, and objective function of the integrated system, a day-night time-sharing control model is used to dynamically control the entire process of hydrogen production and ammonia synthesis; the objective function aims to minimize power supply deviation, electrolyzer power fluctuation, and ammonia synthesis yield deviation.

2. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the input power constraint of the electrolytic cell is as follows: ； ； In the formula, for The input power of the electrolytic cell at any given time; This represents the minimum input power to the electrolytic cell. This represents the maximum input power of the electrolytic cell. for Total power supply at any given time.

3. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the energy storage capacity constraint is as follows: ； ； ； In the formula, for The state of charge at any given time; This represents the minimum value of the state of charge. This represents the maximum value of the state of charge quantity; for The amount of energy stored in the energy storage unit at any given time; for The amount of energy stored in the energy storage unit at any given time; The charging efficiency of the energy storage unit; for The charging power of the energy storage unit at all times; for The discharge power of the energy storage unit at any given time; The discharge efficiency of the energy storage unit; This refers to the interval duration.

4. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the hydrogen buffer storage constraint is as follows: ； ； In the formula, for Hydrogen buffer reserves at any given time; This represents the minimum hydrogen buffer storage capacity. This represents the maximum hydrogen buffer storage capacity. for Hydrogen buffer reserves at any given time; for The amount of hydrogen produced at any given time; for The amount of hydrogen consumed at any given time.

5. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the basic power balance model is as follows: ； ； In the formula, for Total power supply at any given time; for Solar power output at all times; for Wind power output at any given moment; for The proportion of direct wind power supply at any given time; for The energy storage and discharge power at any given moment; for The energy storage and charging power at any given time; for The wind power supply capacity at any given time; for Energy storage capacity at any given time; for The wind curtailment power at any given time.

6. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the total power supply corresponding to the daytime control strategy is as follows: ； ； In the formula, for Total power supply at any given time; for The proportion of direct wind power supply at any given time; for Solar power output at all times; for Wind power output at any given moment; for The energy storage and discharge power at any given moment; for Energy storage and charging power at any given time.

7. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The expression for the total power supply corresponding to the nighttime control strategy is as follows: ； ； ； In the formula, for Total power supply at any given time; for Wind power output at any given moment; for The energy storage and discharge power at any given moment; for The energy storage and charging power at any given time; This represents the maximum energy storage discharge power. Maximum energy storage charging power; Provide the target power supply.

8. The intelligent dynamic control method for integrated wind-solar hydrogen production and ammonia synthesis according to claim 1, characterized in that, The objective function is: ； ； ； ； In the formula, The objective function for system comprehensive optimization; The weighting coefficient corresponding to the power supply deviation; The weighting coefficient corresponding to the power fluctuation of the electrolytic cell; The weighting coefficient corresponding to the deviation in ammonia synthesis yield; For system power supply deviation; This is due to deviations in the ammonia synthesis yield. Total power supply to the system; Provide the target power supply for the system; This represents the change in input power to the electrolytic cell at adjacent time points; This represents the actual ammonia synthesis yield. The target is the ammonia synthesis yield.

9. The intelligent dynamic control method for integrated wind-solar hybrid hydrogen production and ammonia synthesis according to claim 1, characterized in that, The dynamic feedback control includes the coordinated adjustment of wind power allocation ratio, energy storage charging and discharging power, electrolyzer input power and hydrogen output flow rate.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the integrated intelligent dynamic control method for wind-solar hybrid hydrogen production and ammonia synthesis as described in any one of claims 1-9.

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