A coordinated control system for electricity, hydrogen, ammonia, and alcohol

Abstract

This application proposes a collaborative control system for electricity, hydrogen, ammonia, and alcohol, which relates to the fields of energy management and intelligent control. It includes an energy management module, a production management module, and a hydrogen-ammonia-alcohol optimization control module, wherein: the energy management module is used to send the power generation forecast curve corresponding to the new energy station to the production management module and regulate the power generation equipment of the new energy station; the production management module generates the production schedule for each section corresponding to the hydrogen-ammonia-alcohol optimization control module and sends the production schedule to the hydrogen-ammonia-alcohol optimization control module; the hydrogen-ammonia-alcohol optimization control module includes a full-section optimization simulation unit and a single-section optimization control unit corresponding to each section; the hydrogen-ammonia-alcohol optimization control module generates the optimal control strategy for each section based on the production schedule and generates the control instructions for each section and sends them to the DCS; the DCS regulates and controls each section based on the control instructions and sends feedback signals of each section to the hydrogen-ammonia-alcohol optimization control module.

Description

Technical Field

[0001] The present application relates to the fields of energy management and intelligent control, and in particular to an electricity-hydrogen-ammonia / alcohol collaborative management and control system. Background Art

[0002] With the rapid development of renewable energy sources (such as wind and solar energy), how to efficiently and stably utilize these fluctuating energy sources for hydrogen production and the production of chemicals such as synthetic ammonia / alcohols has become a key technical challenge in the current energy sector. Hydrogen, as an important carrier of clean energy, usually relies on water electrolysis technology for its production process, while ammonia and methanol, as important chemical raw materials, require a large amount of energy support for their synthesis process. In this process, the volatility and instability of renewable energy sources such as wind power and photovoltaics pose a significant challenge to the production of hydrogen and synthetic ammonia / alcohol. Traditional energy management and production scheduling methods are unable to effectively balance supply and demand, resulting in energy waste or low production efficiency.

[0003] Currently, existing energy management systems often focus on controlling a single process, such as optimizing wind power, photovoltaic power generation, or hydrogen production, but lack comprehensive coordination and optimization of the entire energy-hydrogen-ammonia / alcohol chain. This is particularly true when it comes to achieving efficient energy and material flow and intelligent scheduling across multiple production links, reducing energy consumption and lowering costs, which remains a significant technological gap. Summary of the Invention

[0004] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, one purpose of the present application is to propose a coordinated management and control system of electricity-hydrogen-ammonia / alcohol, including an energy management module, a production management module and a hydrogen-ammonia / alcohol optimization control module, wherein: the energy management module is used to send the power generation forecast curve corresponding to the new energy station to the production management module, and to regulate the power generation equipment of the new energy station; the production management module generates a production schedule for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the power generation forecast curve, the collected market-related price parameters and the real-time production information of each section uploaded by the hydrogen-ammonia / alcohol optimization control module, and issues the production schedule To the hydrogen-ammonia / alcohol optimization control module; the hydrogen-ammonia / alcohol optimization control module includes a full-section optimization simulation unit and a single-section optimization control unit corresponding to each section; the hydrogen-ammonia / alcohol optimization control module generates the optimal control strategy for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the production schedule, and generates the control instructions for each section based on the optimal control strategy of each section and sends them to the distributed control system DCS; the DCS adjusts and controls each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the control instructions and sends feedback signals of each section to the hydrogen-ammonia / alcohol optimization control module regarding the control instructions.

[0006] Furthermore, the sections corresponding to the hydrogen-ammonia / alcohol optimization control module include a hydrogen production section, a hydrogen storage section, ammonia / alcohol synthesis section and an air separation production section, wherein: the hydrogen production section is used to produce hydrogen by electrolysis; the hydrogen storage section is used to store hydrogen; the ammonia / alcohol synthesis section is used to synthesize ammonia or synthesize methanol; the air separation production section is used to separate air to produce nitrogen required for ammonia synthesis or carbon dioxide required for methanol synthesis.

[0007] Furthermore, the method for generating control instructions for each work section includes: the single-work section optimization control unit generates the optimal control strategy for the corresponding work section based on the production schedule of the corresponding work section, and sends the optimal control strategy to the full-work section optimization simulation unit; the full-work section optimization simulation unit simulates the full work section according to the production schedule corresponding to each work section, the optimal control strategy sent by each work section and the real-time production information corresponding to each work section, and sends the simulation results of each work section generated after the simulation to the single-work section optimization control unit corresponding to each work section; the single-work section optimization control unit generates control instructions based on the optimal control strategy of the work section after determining that the simulation result of the corresponding work section meets expectations.

[0008] Furthermore, market-related price parameters include on-grid electricity price, off-grid electricity price and ammonia / alcohol price.

[0009] Furthermore, the DCS is also used to send the real-time power consumption of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module to the energy management module; the DCS is also used to send the real-time production information of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module to the full-work section optimization simulation unit.

[0010] Furthermore, the hydrogen-ammonia / alcohol optimization control module is also used to send real-time production information of each work section to the production management module.

[0011] Furthermore, the production management module is also used to predict and generate the corresponding self-power consumption curve of the hydrogen-ammonia / alcohol optimization control module in the future period based on the production scheduling plan of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module and the real-time production information corresponding to each work section, and send the self-power consumption curve to the energy management module.

[0012] Furthermore, the energy management module generates a power generation prediction curve based on energy management related parameters. The energy management related parameters include the self-consumption curve, the grid adjustment instructions corresponding to the new energy station, the wind and solar power output forecast corresponding to the new energy station, the real-time power consumption of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module, and the power related parameters of the grid connection point corresponding to the new energy station.

[0013] Furthermore, the energy management module regulates the power generation equipment of the new energy station, including: generating station dispatching instructions based on energy management related parameters and sending them to the new energy station for execution. The production dispatching instructions include active power adjustment instructions and reactive power adjustment instructions.

[0014] Furthermore, the single-section optimization control unit corresponding to the hydrogen production section is used to distribute the hydrogen production load and control the electrolyzer according to the relevant parameters of the electrolyzer. The relevant parameters of the electrolyzer include the characteristic curve of the electrolyzer, the real-time status of the electrolyzer, the power access parameters of the electrolyzer, the type of electrolyzer, and the combination of the electrolyzer.

[0015] The present application achieves at least the following beneficial effects: the electricity-hydrogen-ammonia / alcohol collaborative management and control system proposed in the present application can intelligently generate production scheduling plans for each work section and dynamically adjust them according to actual needs; through comprehensive economic analysis, it can make decisions on electricity sales, electricity purchases, hydrogen storage charging / discharging, and ammonia / alcohol synthesis load, which is helpful to store hydrogen or produce ammonia / alcohol when electricity prices are low, and choose electricity sales or low-load production when electricity prices are high, thereby maximizing economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0017] Figure 1 This is a simplified schematic diagram of an electricity-hydrogen-ammonia / alcohol coordinated control system shown in one embodiment of the present application.

[0018] Figure 2 This is a detailed schematic diagram of an electricity-hydrogen-ammonia / alcohol coordinated control system shown in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0020] Figure 1 This is a simplified schematic diagram of an electricity-hydrogen-ammonia / alcohol coordinated control system shown in one embodiment of the present application. Figure 1 As shown, the electricity-hydrogen-ammonia / alcohol coordinated management and control system includes an energy management module, a production management module and a hydrogen-ammonia / alcohol optimization control module, wherein:

[0021] The energy management module is used to generate a power generation forecast curve corresponding to the new energy station and send the power generation forecast curve corresponding to the new energy station to the production management module. In addition, the energy management module is also used to regulate the power generation equipment of the new energy station.

[0022] The production management module generates a production schedule for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the received power generation forecast curve, the collected market-related price parameters (including the on-grid electricity price, off-grid electricity price and ammonia / alcohol price) and the real-time production information of each section uploaded by the hydrogen-ammonia / alcohol optimization control module, and sends the production schedule to the hydrogen-ammonia / alcohol optimization control module. In addition, the production management module is also used to perform economic analysis to make decisions such as selling and purchasing electricity.

[0023] The hydrogen-ammonia / alcohol optimization control module includes a full-section optimization simulation unit and a single-section optimization control unit corresponding to each section.

[0024] The hydrogen-ammonia / alcohol optimization control module generates the optimal control strategy for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the production schedule, and generates the control instructions for each section based on the optimal control strategy of each section and sends them to the distributed control system DCS.

[0025] Based on the control instructions, the DCS regulates and controls each section corresponding to the hydrogen-ammonia / alcohol optimization control module and sends feedback signals of each section to the hydrogen-ammonia / alcohol optimization control module regarding the control instructions.

[0026] The electricity-hydrogen-ammonia / alcohol collaborative management and control system proposed in this application can intelligently generate production scheduling plans for each work section and dynamically adjust them according to actual needs; through comprehensive economic analysis, it can make decisions on electricity sales, electricity purchases, hydrogen storage charging / discharging, and ammonia / alcohol synthesis load, which is helpful to store hydrogen or produce ammonia / alcohol when electricity prices are low, and choose electricity sales or low-load production when electricity prices are high, thereby maximizing economic benefits.

[0027] Figure 2 This is a detailed schematic diagram of an electricity-hydrogen-ammonia / alcohol coordinated control system shown in an embodiment of the present application. Figure 2 A detailed introduction to the coordinated control system of electricity-hydrogen-ammonia / alcohol is given.

[0028] First, the hydrogen-ammonia / alcohol optimization control module in the present application is first introduced in detail below.

[0029] Specifically, the various sections corresponding to the hydrogen-ammonia / alcohol optimization control module in this application include a hydrogen production section, a hydrogen storage section, ammonia / alcohol synthesis section, and an air separation production section.

[0030] Among them, the hydrogen production section is used to produce hydrogen by electrolysis.

[0031] Among them, the hydrogen storage section is used to store hydrogen.

[0032] The ammonia / methanol synthesis section is used to synthesize ammonia or methanol. In actual applications, it can be determined whether it is a single ammonia synthesis section, a single methanol synthesis section, or a combination of ammonia and methanol synthesis according to actual conditions.

[0033] Among them, the air separation production section is used to separate air to produce nitrogen required for synthetic ammonia or carbon dioxide required for synthetic alcohol production through biomass gasification / CCUS.

[0034] Furthermore, the hydrogen-ammonia / alcohol optimization control module generates the optimal control strategy for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the production schedule, and generates the control instructions for each section based on the optimal control strategy of each section. This is mainly based on the full-section optimization simulation unit included in the hydrogen-ammonia / alcohol optimization control module and the single-section optimization control unit corresponding to each section. The detailed process is as follows:

[0035] The single-section optimization control unit generates the optimal control strategy for its corresponding section based on the production schedule of its corresponding section, and sends the optimal control strategy to the full-section optimization simulation unit.

[0036] like Figure 2 As shown, the hydrogen production section, hydrogen storage section, ammonia / alcohol synthesis section, and air separation section each correspond to a single-section optimization control unit. Taking the hydrogen production schedule for the hydrogen production section as an example, the single-section optimization control unit generates an optimal control strategy for the hydrogen production section based on the schedule and sends it to the full-section optimization simulation unit. The same logic applies to other sections and is not further detailed here.

[0037] Each single-stage optimization control unit simulates actual production dynamics and performs strategic reasoning based on the actual characteristics of the corresponding process equipment (such as pipeline dimensions, valve flow capacity, equipment structure and dimensions, catalyst activity, etc.), accurate mechanism parameters, and methods (such as physical parameters, chemical reaction mechanisms, thermodynamic equations, kinetic equations, etc.). The single-stage optimization control unit can automatically calculate and generally does not require human intervention.

[0038] Among them, the single-section optimization control unit corresponding to the hydrogen production section is used to distribute the hydrogen production load and control the electrolyzer according to the relevant parameters of the electrolyzer, so as to achieve optimal control of the hydrogen content in oxygen and oxygen content in hydrogen in the electrolytic hydrogen production system, and ensure that the hydrogen content in oxygen and oxygen content in hydrogen will not exceed the standard during the load adjustment process of the electrolytic hydrogen production system.

[0039] Among them, the relevant parameters of the electrolytic cell include the characteristic curve of the electrolytic cell, the real-time status of the electrolytic cell, the power access parameters of the electrolytic cell, the type of electrolytic cell (different types of electrolytic cells have different characteristics in response to fluctuations), and the combination of electrolytic cells. The relevant parameters of different electrolytic cells will affect the scheduling and production priority of the electrolytic cell.

[0040] The full-section optimization simulation unit can receive the production schedule of each section issued by the production management module. The full-section optimization simulation unit simulates the entire section according to the production schedule corresponding to each section, the optimal control strategy sent by each section and the real-time production information corresponding to each section, and sends the simulation results of each section generated after the simulation to the single-section optimization control unit corresponding to each section.

[0041] After receiving the corresponding simulation results, each single-section optimization control unit determines that the simulation results for the corresponding section meet expectations and then generates control instructions based on the optimal control strategy for that section. If the simulation results for the corresponding section do not meet expectations, a new optimal control strategy is generated and the above process is repeated until the simulation results meet expectations.

[0042] Among them, the hydrogen-ammonia / alcohol optimization control module should have advanced process control functions. Advanced process control can identify the dynamic mathematical relationship between various variables in the process by collecting historical data of the Distributed Control System (DCS), establish a relationship model between each coupled variable, and convert the real-time optimal control strategy into the optimal solution of the operating variable (that is, the control instruction), and pass it to the DCS for execution. It enables each section to stabilize at the optimal point under the load requirement more quickly, thereby improving the comprehensive automation level of each section, reducing the labor intensity of operation, comprehensively improving the anti-interference ability of each section, improving the stability of the main process indicators, realizing refined control of each section, overcoming the interference of load fluctuations, improving the reaction and separation effects, stabilizing product quality, and improving the yield of the target product of each section through "edge optimization", and reducing the material consumption and energy consumption of each unit product of each section. The advanced process control functions are as follows:

[0043] 1) Build a system control architecture for advanced process control functions based on the process flow framework and determine the operating boundaries. The system control architecture for advanced process control functions covers all equipment and systems at the chemical production site.

[0044] 2) Advanced process control functions utilize established mathematical models to calculate multiple variables involved in the control objective, resolve coupling relationships between variables, overcome the influence of interfering variables, and find the optimal operating point for each work section. Ultimately, they output specific control instructions to the DCS for precise control execution and achieve "edge-of-control" optimization. Optimization calculation time is ≤ 3 minutes.

[0045] 3) Advanced process control functions have self-tuning and deep learning capabilities, and continuously improve the accuracy of predictive model control through historical production data training of the DCS system.

[0046] After generating control instructions for each section, the hydrogen-ammonia / alcohol optimization control module sends these instructions to the DCS. Based on these instructions, the DCS regulates and controls each section corresponding to the hydrogen-ammonia / alcohol optimization control module and sends feedback signals from each section to the hydrogen-ammonia / alcohol optimization control module regarding the control instructions.

[0047] Further, such as Figure 2 As shown, the DCS is also used to send the real-time power consumption of each section corresponding to the hydrogen-ammonia / alcohol optimization control module to the energy management module, and the DCS is also used to send the real-time production information of each section corresponding to the hydrogen-ammonia / alcohol optimization control module to the full-section optimization simulation unit.

[0048] Among them, the real-time production information of each work section includes but is not limited to parameters such as power consumption for hydrogen production, consumption of raw materials and auxiliary materials, hydrogen and oxygen production, wastewater production, input of hydrogen, nitrogen / carbon dioxide as raw materials for synthetic ammonia / alcohol, power consumption for synthetic ammonia / alcohol, heat production, and waste production.

[0049] The hydrogen-ammonia / alcohol optimization control module is also used to transmit real-time production information from each work section to the production management module. Specifically, each single-section optimization control unit in the hydrogen-ammonia / alcohol optimization control module receives feedback signals from the DCS that include real-time production information for each work section. Each single-section optimization control unit parses the feedback signals for the corresponding work section and transmits them to the production management module.

[0050] Secondly, the production management module in this application is introduced in detail below.

[0051] The production management module generates a production schedule for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the power generation forecast curve sent by the energy management module, the collected market-related price parameters (including the on-grid electricity price, off-grid electricity price and ammonia / alcohol price) and the real-time production information of each section uploaded by the hydrogen-ammonia / alcohol optimization control module, and sends the production schedule to the hydrogen-ammonia / alcohol optimization control module. In addition, the production management module is also used to perform economic analysis to make decisions such as selling and purchasing electricity.

[0052] Among them, the market-related price parameters that the production management module refers to when scheduling production include on-grid electricity prices, off-grid electricity prices, and ammonia / alcohol prices.

[0053] Among them, the off-grid electricity price may include the off-grid electricity prices corresponding to the peak, valley and flat stages respectively.

[0054] The production management module is also used to generate a future self-consumption curve for the hydrogen-ammonia / alcohol optimization control module based on the production schedule for each work section of the hydrogen-ammonia / alcohol optimization control module and the real-time production information corresponding to each work section. This self-consumption curve is then sent to the energy management module. The self-consumption curve can be used to guide the energy management module's scheduling.

[0055] Thirdly, the energy management module in this application is introduced in detail below.

[0056] Among them, the energy management module generates a power generation prediction curve based on energy management related parameters. The energy management related parameters include the self-consumption curve, the grid adjustment instructions corresponding to the new energy station, the wind and solar output forecast corresponding to the new energy station, the real-time power consumption of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module, and the power-related parameters of the grid connection point corresponding to the new energy station (such as current data and voltage data).

[0057] Among them, the energy management module regulates the power generation equipment of the new energy station, including: generating station dispatching instructions based on energy management related parameters and sending them to the new energy station for execution. The production dispatching instructions include active power adjustment instructions and reactive power adjustment instructions to ensure that resources are fully utilized when energy is sufficient, increase production load and improve output; when energy is insufficient, production is maintained by adjusting the load or using grid power and hydrogen storage equipment to reduce resource waste.

[0058] Among them, the energy management module is also used to form the on / off grid planning curve of each station based on the wind and solar power output forecast and self-consumption curve fitting of each new energy station, and report it to the grid dispatch.

[0059] Among them, the energy management module automatically calculates the real-time output of the new energy station based on input information such as the short-term wind and solar power forecast data of the new energy station, the active power automatic control system (AGC) instructions, the chemical production electricity load demand, and the primary frequency regulation control system instructions, and quickly sends the corresponding production scheduling instructions to the new energy station monitoring system, so as to achieve accurate tracking of the superior scheduling instructions, ensure that the interconnection line power is within the scheduling requirements, and meet the power grid's requirements for the system's 1-minute and 10-minute change rates.

[0060] Among them, the energy management module monitors the voltage and current of the grid connection point in real time, calculates the corresponding active and reactive power instructions based on the frequency and voltage deviations and the active support control mechanism, and quickly sends them to the wind and solar systems to perform frequency regulation, inertia response and dynamic voltage regulation on the system, thereby achieving active support for the frequency / voltage of the large power grid and helping to enhance the stability of the power grid in the region.

[0061] In summary, the electricity-hydrogen-ammonia / alcohol collaborative control system proposed in this application realizes the intelligent management and control of the entire process of wind power, photovoltaic power generation, hydrogen production, hydrogen storage, and ammonia / alcohol synthesis. It can intelligently generate production schedules for each work section (which can be segmented production schedules and overall production schedules), and dynamically adjust according to actual needs to achieve card edge optimization and collaborative operations between work sections, reduce manual operations, and improve overall production efficiency and safety; through comprehensive economic analysis, it can make decisions on electricity sales, electricity purchases, hydrogen storage charging / discharging, and ammonia / alcohol synthesis load, which is helpful to store hydrogen or produce ammonia / alcohol when electricity prices are low, and choose electricity sales or low-load production when electricity prices are high, thereby maximizing economic benefits; flexibly control the start and stop and load of the electrolyzer, as well as the charging and discharging scheduling of hydrogen in different hydrogen storage modes, to ensure the stability and efficiency of the ammonia / alcohol synthesis process.

[0062] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0063] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0064] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0065] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An electricity-hydrogen-ammonia / alcohol coordinated management and control system, characterized in that: It includes energy management module, production management module and hydrogen-ammonia / alcohol optimization control module, among which: The energy management module is used to send the power generation forecast curve corresponding to the new energy station to the production management module, and to regulate the power generation equipment of the new energy station; The production management module generates a production schedule for each section of the hydrogen-ammonia / alcohol optimization control module based on the power generation forecast curve, collected market price parameters, and real-time production information of each section uploaded by the hydrogen-ammonia / alcohol optimization control module. The production management module also performs economic analysis to make decisions on selling and purchasing electricity. The production management module is further used to generate a corresponding self-power consumption curve of the hydrogen-ammonia / alcohol optimization control module in the future based on the production schedule of each section corresponding to the hydrogen-ammonia / alcohol optimization control module and the real-time production information corresponding to each section, and send the self-power consumption curve to the energy management module; The hydrogen-ammonia / alcohol optimization control module corresponds to the hydrogen production section, hydrogen storage section, ammonia / alcohol synthesis section and air separation section. The hydrogen-ammonia / alcohol optimization control module has advanced process control functions; The hydrogen-ammonia / alcohol optimization control module includes a full-section optimization simulation unit and a single-section optimization control unit corresponding to each section; The hydrogen-ammonia / alcohol optimization control module generates the optimal control strategy for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the production schedule, and generates the control instructions for each section based on the optimal control strategy of each section and sends them to the distributed control system DCS; Based on the control instructions, the DCS regulates and controls each section corresponding to the hydrogen-ammonia / alcohol optimization control module and sends feedback signals of each section to the hydrogen-ammonia / alcohol optimization control module regarding the control instructions. The feedback signals include real-time production information of each section. The DCS is also used to send the real-time power consumption of each section corresponding to the hydrogen-ammonia / alcohol optimization control module to the energy management module; The DCS is also used to send the real-time production information of each section corresponding to the hydrogen-ammonia / alcohol optimization control module to the full-section optimization simulation unit; The method for generating the control instructions for each work section includes: The single-section optimization control unit generates the optimal control strategy for its corresponding section based on the production schedule of its corresponding section, and sends the optimal control strategy to the full-section optimization simulation unit; The full-section optimization simulation unit simulates the full section according to the production schedule corresponding to each section, the optimal control strategy sent by each section, and the real-time production information corresponding to each section, and sends the simulation results of each section generated after the simulation to the single-section optimization control unit corresponding to each section; After determining that the simulation results of the corresponding section meet expectations, the single-section optimization control unit generates a control instruction based on the optimal control strategy of the section.

2. The system according to claim 1, wherein: in: The hydrogen production section is used to produce hydrogen by electrolysis; The hydrogen storage section is used to store hydrogen; The synthetic ammonia / alcohol section is used to synthesize ammonia or methanol; The air separation section is used to separate air to produce nitrogen required for synthetic ammonia or carbon dioxide required for synthetic methanol.

3. The system according to claim 2, characterized in that Market-related price parameters include on-grid electricity price, off-grid electricity price and ammonia / alcohol price.

4. The system according to claim 3, characterized in that in: The hydrogen-ammonia / alcohol optimization control module is also used to send the real-time production information of each work section to the production management module.

5. The system according to claim 4, characterized in that The energy management module generates a power generation forecast curve based on energy management related parameters. The energy management related parameters include the self-consumption curve, the grid adjustment instructions corresponding to the new energy station, the wind and solar power output forecast corresponding to the new energy station, the real-time power consumption of each work section corresponding to the hydrogen-ammonia / alcohol optimization control module, and the power-related parameters of the grid connection point corresponding to the new energy station.

6. The system according to claim 5, characterized in that The energy management module regulates and controls the power generation equipment at the new energy station, including: Based on energy management related parameters, station dispatch instructions are generated and sent to new energy stations for execution, including active power adjustment instructions and reactive power adjustment instructions.

7. The system according to claim 6, characterized in that The single-section optimization control unit corresponding to the hydrogen production section is used to distribute the hydrogen production load and control the electrolyzer according to the relevant parameters of the electrolyzer. The relevant parameters of the electrolyzer include the characteristic curve of the electrolyzer, the real-time status of the electrolyzer, the power access parameters of the electrolyzer, the type of electrolyzer, and the combination of the electrolyzer.

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