Electricity-hydrogen-ammonia / alcohol collaborative management and control system

Abstract

The invention provides an electricity-hydrogen-ammonia / alcohol collaborative management and control system, and relates to the field of energy management and intelligent control. Comprising an energy management module, a production management module and a hydrogen-ammonia / alcohol optimization control module, wherein the energy management module is used for sending a power generation prediction curve corresponding to a new energy station to the production management module and regulating and controlling power generation equipment of the new energy station; the production management module generates a production scheduling plan of each working section corresponding to the hydrogen-ammonia / alcohol optimization control module, and issues the production scheduling plan to the hydrogen-ammonia / alcohol optimization control module; the hydrogen-ammonia / alcohol optimization control module comprises a full-section optimization simulation unit and single-section optimization control units respectively corresponding to each section; the hydrogen-ammonia / alcohol optimization control module generates an optimal control strategy of each workshop section based on the production scheduling plan, generates a control instruction of each workshop section and issues the control instruction to the DCS; and the DCS adjusts and controls each workshop section based on the control instruction and sends a feedback signal of each workshop 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 coordinated management and control system. Background Art

[0002] With the rapid development of renewable energy (such as wind power and solar energy), how to efficiently and stably utilize these volatile energy sources for hydrogen production and the production of chemicals such as synthetic ammonia / alcohol has become a key technical problem in the current energy field. As an important carrier of clean energy, the production process of hydrogen usually relies on water electrolysis technology, while ammonia and methanol, as important chemical raw materials, require a lot of energy support in their synthesis process. In this process, the volatility and instability of renewable energy such as wind power and photovoltaics have brought great challenges to the production of hydrogen and synthetic ammonia / alcohol. Traditional energy management and production scheduling methods are difficult to effectively balance supply and demand, resulting in energy waste or low production efficiency.

[0003] At present, existing energy management systems focus on the control of a single link, such as optimizing wind power, photovoltaic power generation or hydrogen production process, but lack comprehensive coordination and optimization control for the entire energy-hydrogen-ammonia / alcohol chain. In particular, there is still a large technical gap in how to achieve efficient flow and intelligent scheduling of energy and materials, reduce energy consumption and reduce costs between multiple production links. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some 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 according to 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 for 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 control instructions to the hydrogen-ammonia / alcohol optimization control module.

[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 synthesizing ammonia or carbon dioxide required for synthesizing methanol.

[0007] Furthermore, the method for generating control instructions for each work section includes: a single-work section optimization control unit generates an 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 entire 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 a control instruction 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 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.

[0010] Furthermore, 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.

[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, which include the self-consumption curve, the grid dispatching instructions corresponding to the new energy station, the wind and solar power output forecasts 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, and 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 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 coordinated control system of electricity-hydrogen-ammonia / alcohol 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 synthetic ammonia / alcohol 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 It 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 It 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] Embodiments of the present application are described in detail below, and examples of the embodiments 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 FIG. 1 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 prediction curve corresponding to the new energy station and send the power generation prediction curve corresponding to the new energy station to the production management module. In addition, the energy management module is also used to control 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. 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 control instructions to the hydrogen-ammonia / alcohol optimization control module.

[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 synthetic ammonia / alcohol load, which is helpful for storing hydrogen or producing ammonia / alcohol when electricity prices are low, and choosing 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 The coordinated control system of electricity-hydrogen-ammonia / alcohol is introduced in detail.

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

[0029] Specifically, the sections corresponding to the hydrogen-ammonia / alcohol optimization control module in the present 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 synthetic ammonia / alcohol section is used for synthesizing ammonia or synthesizing methanol. In practical applications, it can be determined whether it is a single synthetic ammonia section, a single synthetic methanol section, or both 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 biomass gasification / CCUS to produce carbon dioxide required for synthetic alcohol.

[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, synthetic ammonia / alcohol section, and air separation section each correspond to a single section optimization control unit. Taking the hydrogen production scheduling plan corresponding to the hydrogen production section as an example, the single section optimization control unit corresponding to the hydrogen production section generates the optimal control strategy corresponding to the hydrogen production section based on the hydrogen production scheduling plan, and sends the optimal control strategy to the whole section optimization simulation unit. The other sections are analogous, and will not be repeated here.

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

[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 and 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 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 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.

[0041] After receiving the corresponding simulation results, each single-section optimization control unit generates a control instruction based on the optimal control strategy of the section after determining that the simulation results of the corresponding section meet expectations. If the simulation results of the corresponding section do not meet expectations, a new optimal control strategy will continue to be generated, and the above process will be 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 the historical data of the distributed control system (DCS), establish the relationship model between the coupled variables, and convert the real-time optimal control strategy into the optimal solution of the operating variables (that is, the control instructions), 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 the refined control of each section, overcoming the interference of load fluctuations, improving the reaction and separation effects, stabilizing the product quality, and improving the yield of the target product of each section through "card 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 the system control architecture of advanced process control functions based on the process flow framework and determine the operation boundaries. The system control architecture of advanced process control functions covers all equipment and systems at the chemical production site.

[0044] 2) The advanced process control function can use the established mathematical relationship model to calculate the multiple variables involved in the control target, solve the coupling relationship between variables, overcome the influence of interference variables, find the optimal operation point of each section, and finally output specific control instructions to DCS to realize precise control execution and achieve "card edge" optimization. The optimization calculation time is ≤3min.

[0045] 3) The advanced process control function has self-tuning and deep learning functions, and continuously improves the accuracy of predictive model control through historical production data training of the DCS system.

[0046] After generating the control instructions for each section, the hydrogen-ammonia / alcohol optimization control module sends the control instructions for each section to the DCS. The DCS regulates 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 for 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 whole section optimization simulation unit.

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

[0049] The hydrogen-ammonia / alcohol optimization control module is also used to send the real-time production information of each section to the production management module. Specifically, the feedback signal returned by the DCS received by each single-section optimization control unit in the hydrogen-ammonia / alcohol optimization control module may include the real-time production information of each section, and each single-section optimization control unit parses the real-time production information of the corresponding section from the feedback signal and sends it 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. 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 the on-grid electricity price, off-grid electricity price and ammonia / alcohol price.

[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 the corresponding self-power curve of the hydrogen-ammonia / alcohol optimization control module in the future according to 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 curve to the energy management module. The self-power curve can be used to guide the scheduling of the energy management module.

[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 network dispatching 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 (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 short-term wind and solar power forecast data of the new energy station, active power automatic control system (AGC) instructions, chemical production electricity load demand, and 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 modulation, 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 coordinated control system of electricity-hydrogen-ammonia / alcohol proposed in this application realizes the intelligent management and control of the whole process of wind power, photovoltaic power generation, hydrogen production, hydrogen storage, synthesis of ammonia / alcohol, etc., and can intelligently generate the production schedule of each section (which can be a segmented production schedule and a total production schedule), and dynamically adjust it according to actual needs, so as to achieve card edge optimization and collaborative operation between sections, reduce manual operation, 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 the electricity price is low, and choose electricity sales or low-load production when the electricity price is high, so as to maximize 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 referred device or element 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] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and 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" etc. 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 may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the 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 collaborative 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 prediction 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 according to the power generation prediction 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 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 an optimal control strategy for each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the production schedule, and generates a control instruction for each section based on the optimal control strategy for each section and sends it to the distributed control system DCS; The DCS regulates and controls each section corresponding to the hydrogen-ammonia / alcohol optimization control module based on the control instruction and sends a feedback signal of each section to the hydrogen-ammonia / alcohol optimization control module in response to the control instruction.

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

3. The system according to claim 2, characterized in that The method for generating the control instructions of each work section includes: The single-section optimization control unit generates an optimal control strategy for the corresponding section based on the production schedule of the corresponding section, and sends the optimal control strategy to the full-section optimization simulation unit; The whole-section optimization simulation unit performs whole-section simulation according to the production scheduling plan 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 result of the corresponding section meets expectations, the single-section optimization control unit generates a control instruction based on the optimal control strategy of the section.

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

5. The system according to claim 4, characterized in that in: 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.

6. The system according to claim 5, 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.

7. The system according to claim 6, characterized in that 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 according to 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.

8. The system according to claim 7, characterized in that The energy management module generates a power generation prediction curve based on energy management related parameters, and the energy management related parameters include the self-power consumption curve, the network 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.

9. The system according to claim 8, characterized in that The energy management module regulates the power generation equipment of the new energy station, including: A station dispatching instruction is generated based on the energy management related parameters and sent to the new energy station for execution, and the production dispatching instruction includes an active power adjustment instruction and a reactive power adjustment instruction.

10. The system according to claim 9, characterized in that The single-section optimization control unit corresponding to the hydrogen production section is used to distribute hydrogen production load and control scheduling for the electrolyzer according to 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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