Method and device for coordinated control of a system for synthesis of ammonia from hydrogen produced by electrolysis of water from renewable energy sources

Abstract

The present disclosure relates to a kind of renewable energy electrolytic water hydrogen synthesis ammonia system synergic control method and device, the method includes: according to the predicted power generation of target renewable energy electrolytic water hydrogen synthesis ammonia system corresponding, determine its corresponding full-day multi-period simulated hydrogen production power, and full-day multi-period simulated ammonia production power;Real-time monitoring is carried out to target renewable energy electrolytic water hydrogen synthesis ammonia system, determines its corresponding real-time power generation and real-time hydrogen inventory;According to real-time power generation, real-time correction adjustment is carried out to full-day multi-period simulated hydrogen production power, determines full-day multi-period real-time hydrogen production power;According to real-time hydrogen inventory, real-time correction adjustment is carried out to full-day multi-period simulated ammonia production power, determines full-day multi-period real-time ammonia production power.The embodiment of the present disclosure can realize the multi-time scale synergic control optimization of renewable energy electrolytic water hydrogen synthesis ammonia system, reduce the abandonment rate of renewable energy, improve energy utilization and system benefit and stability.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of hydrogen production by electricity, and particularly relates to a synergic control method and device of a renewable energy water electrolysis hydrogen production ammonia synthesis system. BACKGROUND

[0002] The traditional chemical industry system is reformed to be electrified, renewable energy such as wind power and photovoltaic is used, and water electrolysis hydrogen production technology is coupled with traditional high energy consumption and high emission industry lines to form a new type of green industry upgrading technology, for example, a renewable energy water electrolysis hydrogen production ammonia synthesis system. However, renewable energy usually has intermittency and unpredictability, which will lead to instability of energy supply, and further affect the production safety and economy of the subsequent industry line. Therefore, the operation state of renewable energy and the subsequent industry line needs to be integrated and synergically controlled to improve the safety and industrial efficiency of the whole system. SUMMARY

[0003] Therefore, the present disclosure provides a synergic control method and device of a renewable energy water electrolysis hydrogen production ammonia synthesis system.

[0004] According to an aspect of the present disclosure, a synergic control method of a renewable energy water electrolysis hydrogen production ammonia synthesis system is provided, which comprises: determining full-day multi-period simulated hydrogen production power and full-day multi-period simulated ammonia production power corresponding to a target renewable energy water electrolysis hydrogen production ammonia synthesis system according to predicted power generation power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period simulated hydrogen production power comprises simulated hydrogen production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each first preset length period within a single day, and the full-day multi-period simulated ammonia production power comprises simulated ammonia production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each second preset length period within a single day; monitoring the target renewable energy water electrolysis hydrogen production ammonia synthesis system in real time to determine real-time power generation power and real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system; adjusting the full-day multi-period simulated hydrogen production power in real time according to the real-time power generation power to determine full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period real-time hydrogen production power comprises real-time hydrogen production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each first preset length period within a single day; adjusting the full-day multi-period simulated ammonia production power in real time according to the real-time hydrogen inventory to determine full-day multi-period real-time ammonia production power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period real-time ammonia production power comprises real-time ammonia production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each third preset length period within a single day.

[0005] In a possible implementation, the determining of the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system according to the predicted power generation power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system comprises: determining an operation optimization model corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system based on a power and energy balance principle; and determining the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power by optimizing and solving the operation optimization model according to the predicted power generation power.

[0006] In a possible implementation, the determining of the full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system according to the real-time power generation power and the real-time adjustment of the full-day multi-period simulated hydrogen production power comprises: for any first preset length period, determining a real-time hydrogen production power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the first preset length period by optimizing and adjusting a simulated hydrogen production power in the first preset length period according to the power and energy balance principle and the real-time power generation power.

[0007] In a possible implementation, the determining of the full-day multi-period real-time ammonia production power corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system according to the real-time hydrogen inventory and the real-time adjustment of the full-day multi-period simulated ammonia production power comprises: for any third preset length period, determining a real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the third preset length period according to a previous period ammonia synthesis working condition of the third preset length period, the real-time hydrogen inventory, and a working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system; and for any third preset length period, determining a real-time ammonia production power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the third preset length period according to the real-time ammonia synthesis working condition and the simulated ammonia production power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the third preset length period.

[0008] In a possible implementation, the ammonia synthesis working condition comprises a normal working condition, a hydrogen supplement storage working condition, and a hydrogen removal storage working condition, and the working condition adjustment condition comprises a hydrogen supplement trigger condition, a hydrogen supplement recovery condition, a hydrogen removal trigger condition, and a hydrogen removal recovery condition.

[0009] In a possible implementation, the method further includes: performing inventory checking on the target renewable energy electrolysis water hydrogen synthesis ammonia system based on a preset checking period, and determining ammonia inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each checking period; and for any one checking period, determining an ammonia retail transaction decision corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system according to the ammonia inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the checking period and a target schedulable domain, wherein the target schedulable domain is used to reflect scheduling capability of the target renewable energy electrolysis water hydrogen synthesis ammonia system on the inventory ammonia, and the ammonia retail transaction decision includes ammonia retail quantity of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the checking period.

[0010] In a possible implementation, the method further includes: determining an initial schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each checking period according to a preset ammonia inventory management target; and for any one checking period, determining a target schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the checking period according to the initial schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the checking period and ammonia inventory capacity corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system.

[0011] According to another aspect of the present disclosure, a coordinated control device of a renewable energy electrolysis water hydrogen synthesis ammonia system is provided, comprising: a day-ahead planning module configured to determine, according to a predicted power generation corresponding to a target renewable energy electrolysis water hydrogen synthesis ammonia system, a full-day multi-period simulated hydrogen production power corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system and a full-day multi-period simulated ammonia production power, wherein the full-day multi-period simulated hydrogen production power comprises simulated hydrogen production powers of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each first preset length period within a single day, and the full-day multi-period simulated ammonia production power comprises simulated ammonia production powers of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each second preset length period within a single day; a real-time monitoring module configured to monitor the target renewable energy electrolysis water hydrogen synthesis ammonia system in real time, and determine a real-time power generation corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system and a real-time hydrogen inventory; a hydrogen production power closed-loop control module configured to adjust the full-day multi-period simulated hydrogen production power in real time according to the real-time power generation, and determine a full-day multi-period real-time hydrogen production power corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system, wherein the full-day multi-period real-time hydrogen production power comprises real-time hydrogen production powers of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each first preset length period within a single day; and an ammonia production power hysteresis control module configured to adjust the full-day multi-period simulated ammonia production power in real time according to the real-time hydrogen inventory, and determine a full-day multi-period real-time ammonia production power corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system, wherein the full-day multi-period real-time ammonia production power comprises real-time ammonia production powers of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each third preset length period within a single day.

[0012] According to another aspect of the present disclosure, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0013] According to another aspect of the present disclosure, a non-volatile computer readable storage medium having stored thereon computer program instructions is provided, wherein the computer program instructions are executed by a processor to implement the above method.

[0014] In the embodiments of the present disclosure, according to the predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system, day-ahead planning optimization of the target renewable energy water electrolysis hydrogen synthesis ammonia system can be realized, the full-day multi-period simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day is determined, and the full-day multi-period simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period within a single day is determined, which can provide a basis for the coordinated control of the target renewable energy water electrolysis hydrogen synthesis ammonia system within a single day, thereby improving the reliability of the coordinated control and improving the control efficiency. Through real-time monitoring of the target renewable energy water electrolysis hydrogen synthesis ammonia system, the real-time power generation and the real-time hydrogen inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system are determined, the real-time power generation and the real-time hydrogen inventory are used to make real-time correction and adjustment on the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power, the full-day multi-period real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day is determined, and the full-day multi-period real-time ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each third preset length period within a single day is determined, the buffer capacity and flexibility of hydrogen inventory management are fully utilized, closed-loop control and hysteresis control of the target renewable energy water electrolysis hydrogen synthesis ammonia system are performed in multiple time scales, power generation and use balance and operation time sequence coordination optimization of chemical production are realized, the abandonment rate of renewable energy is reduced, and energy utilization rate and system revenue are improved.

[0015] Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the present disclosure and serve to explain the principles of the present disclosure.

[0017] Figure 1 A flowchart of a coordinated control method of a renewable energy water electrolysis hydrogen synthesis ammonia system according to an embodiment of the present disclosure is shown;

[0018] Figure 2 A flowchart of a hysteresis control strategy according to an embodiment of the present disclosure is shown;

[0019] Figure 3 A timing diagram of a coordinated control method of a renewable energy water electrolysis hydrogen synthesis ammonia system according to an embodiment of the present disclosure is shown;

[0020] Figure 4A schematic diagram of an ammonia retail transaction decision according to an embodiment of the present disclosure is shown.

[0021] Figure 5 A block diagram of a collaborative control device of a renewable energy water electrolysis hydrogen synthesis ammonia system according to an embodiment of the present disclosure is shown.

[0022] Figure 6 A block diagram of an electronic device according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0023] Various exemplary embodiments, features, and aspects of the present disclosure will be explained in greater detail below with reference to the accompanying drawings. Like reference numerals may be used to refer to like elements throughout the several embodiments. Unless specifically stated otherwise, it can be appreciated that the drawings described are merely schematic and that for example, the structures are not drawn to scale.

[0024] The term "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0025] The term "and / or" used in this text is only used to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the three cases of A alone, A and B together, and B alone. In addition, the term "at least one" in this text means any one of a plurality of combinations or any combination of at least two of a plurality of combinations, for example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0026] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the specific embodiments below. Those skilled in the art should understand that the present disclosure can also be implemented without some specific details. In some examples, methods, means, elements and circuits that are well known to those skilled in the art are not described in detail in order to highlight the main idea of the present disclosure.

[0027] Climate change, the limited nature of fossil fuel resources, and problems such as atmospheric and water environmental pollution have led to the need for renewable energy and clean technology in the prior art. In the prior art, a traditional chemical industry system is usually electrified to facilitate the use of renewable energy such as wind power and photovoltaic power, and water electrolysis hydrogen production technology, coupled with traditional high-energy-consumption and high-emission industrial lines, to form a new green industrial upgrading technology, for example, a renewable energy water electrolysis hydrogen production ammonia synthesis system. However, renewable energy usually has intermittency and unpredictability, which can lead to instability of energy supply, and thus affect the production safety and economy of the subsequent industrial line. Therefore, it is necessary to integrate the renewable energy and the operating state of the subsequent industrial line for collaborative control to improve the safety and industrial efficiency of the entire system.

[0028] Although some methods for collaborative scheduling of a wind-solar power generation hydrogen production ammonia synthesis system are proposed in the prior art, they can only be based on the hydrogen and ammonia produced by the system in real time for scheduling, and ignore the inventory management of hydrogen and ammonia, which can affect the accuracy and reliability of collaborative scheduling, and reduce energy utilization and system revenue.

[0029] Therefore, the embodiments of the present disclosure provide a collaborative control method for a renewable energy water electrolysis hydrogen production ammonia synthesis system, which can utilize the buffering capacity and flexibility of hydrogen inventory management to perform closed-loop control and hysteresis control on the target renewable energy water electrolysis hydrogen production ammonia synthesis system in multiple time scales, realize power generation and use balance and operation time sequence collaborative optimization of chemical production, reduce the curtailment rate of renewable energy, and improve energy utilization and system stability. The collaborative control method for the renewable energy water electrolysis hydrogen production ammonia synthesis system provided by the present disclosure is described in detail below.

[0030] Figure 1 A flowchart of a collaborative control method for a renewable energy water electrolysis hydrogen production ammonia synthesis system according to an embodiment of the present disclosure is shown. The collaborative control method for the renewable energy water electrolysis hydrogen production ammonia synthesis system can be executed by an electronic device such as a terminal device or a server. The terminal device can be a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. The collaborative control method for the renewable energy water electrolysis hydrogen production ammonia synthesis system can be realized by a processor calling computer readable instructions stored in a memory. Alternatively, the collaborative control method for the renewable energy water electrolysis hydrogen production ammonia synthesis system can be executed by a server. As shown in the figure, the collaborative control method for the renewable energy water electrolysis hydrogen production ammonia synthesis system includes:

[0031] In step S11, according to the predicted power generation corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, the all-day multi-period simulated hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system and the all-day multi-period simulated ammonia production power are determined, wherein the all-day multi-period simulated hydrogen production power includes the simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day, and the all-day multi-period simulated ammonia production power includes the simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period within a single day.

[0032] The target renewable energy water electrolysis hydrogen synthesis ammonia system herein can represent a multi-section collaborative system capable of realizing renewable energy power generation, water electrolysis hydrogen production and ammonia synthesis, and its specific form can be flexibly set according to actual use requirements, which is not specifically limited in the present disclosure.

[0033] In a possible implementation, the target renewable energy water electrolysis hydrogen synthesis ammonia system can include a renewable energy power generation unit, a water electrolysis hydrogen production unit, an ammonia synthesis unit, a hydrogen storage medium and an ammonia storage medium.

[0034] The renewable energy power generation unit can utilize renewable energy power generation, and its specific form can be flexibly set according to actual use requirements, for example, it can be a wind-solar power generation unit capable of utilizing wind power and photovoltaic power generation, etc., which is not specifically limited in the present disclosure; the specific form of the water electrolysis hydrogen production unit can refer to the implementation in the related art, which is not specifically limited in the present disclosure; the specific form of the ammonia synthesis unit can refer to the implementation in the related art, which is not specifically limited in the present disclosure; the specific form of the hydrogen storage medium can refer to the implementation in the related art, for example, a hydrogen storage tank, etc., which is not specifically limited in the present disclosure; the specific form of the ammonia storage medium can refer to the implementation in the related art, for example, an ammonia storage tank, etc., which is not specifically limited in the present disclosure.

[0035] The predicted power generation corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system can be used to perform day-ahead planning optimization of the target renewable energy water electrolysis hydrogen synthesis ammonia system, to predict in advance the all-day multi-period simulated hydrogen production power and the all-day multi-period simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system within a single day, so as to reduce the difficulty of collaborative control of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the day and improve the control efficiency.

[0036] The specific manner of determining the predicted power generation corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system can refer to the implementation manner in the related art, and the present disclosure does not make a specific limitation thereon. The specific form thereof can be flexibly set according to the actual use requirement, for example, can include the power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day, and the present disclosure does not make a specific limitation thereon.

[0037] The all-day multi-period simulated hydrogen synthesis power can include the simulated hydrogen synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day. The specific value of the first preset length period can be flexibly set according to the actual use requirement, for example, can be set to 15 minutes (min), and the present disclosure does not make a specific limitation thereon.

[0038] The all-day multi-period simulated hydrogen synthesis power can include the simulated hydrogen synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day. The specific value of the first preset length period can be flexibly set according to the actual use requirement, for example, can be set to 15 minutes (min), and the present disclosure does not make a specific limitation thereon.

[0039] The process of determining the all-day multi-period simulated hydrogen synthesis power and the all-day multi-period simulated ammonia synthesis power according to the predicted power generation will be described in detail below in combination with the possible implementation manner of the present disclosure, and will not be described herein.

[0040] In step S12, the target renewable energy water electrolysis hydrogen synthesis ammonia system is monitored in real time to determine the real-time power generation and the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0041] By monitoring the target renewable energy water electrolysis hydrogen synthesis ammonia system in real time, the real-time power generation and the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system can be determined. The real-time hydrogen inventory can represent the storage amount of hydrogen produced by the target renewable energy water electrolysis hydrogen synthesis ammonia system in the hydrogen storage medium, and the specific form thereof can be flexibly set according to the actual use requirement, for example, can refer to the state of charge (SOC) of hydrogen in the related art, and the present disclosure does not make a specific limitation thereon.

[0042] In step S13, the all-day multi-period simulated hydrogen synthesis power is adjusted in real time according to the real-time power generation to determine the all-day multi-period real-time hydrogen synthesis power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, wherein the all-day multi-period real-time hydrogen synthesis power includes the real-time hydrogen synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day.

[0043] In any one first preset length period within a single day, the actual operation state of the water electrolysis hydrogen production unit in the target renewable energy water electrolysis hydrogen production and ammonia synthesis system can be determined according to the real-time power generation of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the first preset length period, and then the simulated hydrogen production power in the first preset length period is adjusted in real time to determine the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in the first preset length period.

[0044] In the following, the process of adjusting the simulated hydrogen production power in multiple periods of a day in real time according to the real-time power generation, and determining the real-time hydrogen production power in multiple periods of a day will be described in detail in combination with possible implementations of the present disclosure, which will not be described here.

[0045] By adjusting the simulated hydrogen production power in each first preset length period within a single day in real time, closed-loop control of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system can be achieved, the stability of the system can be improved, and the influence of unstable supply of renewable energy on the system can be reduced.

[0046] In step S14, the simulated ammonia production power in multiple periods of a day is adjusted in real time according to the real-time hydrogen inventory to determine the real-time ammonia production power in multiple periods of a day corresponding to the target renewable energy water electrolysis hydrogen production and ammonia synthesis system, wherein the real-time ammonia production power in multiple periods of a day includes the real-time ammonia production power of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system in each third preset length period within a single day.

[0047] For the target renewable energy water electrolysis hydrogen production and ammonia synthesis system, the hydrogen produced usually needs to meet the hydrogen sales demand of the system and the consumption demand of ammonia synthesis, etc. Therefore, in the embodiments of the present disclosure, in order to improve the flexibility and reliability of the collaborative control, the real-time hydrogen inventory is used as a control signal for the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system, so as to flexibly adjust the operation state and ammonia production power of the ammonia synthesis unit on the basis of balancing different hydrogen demand aspects.

[0048] Specifically, for any one second preset length period within a single day, the second preset length period can be further divided into multiple third preset length periods. The specific value of the third preset length period can be flexibly set according to actual use requirements, for example, it can be set to 15 min, etc., which is not limited in the present disclosure. Optionally, the third preset length period can be the same as the first preset length period, so as to collaboratively control the water electrolysis hydrogen production unit and the ammonia synthesis unit based on the same time scale, and ensure the stability of the target renewable energy water electrolysis hydrogen production and ammonia synthesis system.

[0049] In any one second preset length period, for any one third preset length period in the second preset length period, the actual operation state of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period can be determined according to the real-time hydrogen inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period, and then the simulated ammonia synthesis power in the third preset length period is adjusted in real time to determine the real-time ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period.

[0050] In the following, the process of adjusting the simulated ammonia synthesis power in multiple time periods of a day in real time according to the real-time hydrogen inventory, to determine the real-time ammonia synthesis power in multiple time periods of a day, will be described in detail in conjunction with possible implementations of the present disclosure, which will not be described here.

[0051] By adjusting the simulated ammonia synthesis power in each third preset length period in a day in real time, hysteresis control of the target renewable energy water electrolysis hydrogen synthesis ammonia system can be achieved, and the storage space of the hydrogen storage medium in the target renewable energy water electrolysis hydrogen synthesis ammonia system can be optimized.

[0052] In the embodiments of the present disclosure, according to the predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system, day-ahead planning optimization of the target renewable energy water electrolysis hydrogen synthesis ammonia system can be achieved, the simulated hydrogen synthesis power in multiple time periods of a day, including the simulated hydrogen synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period in a day, and the simulated ammonia synthesis power in multiple time periods of a day, including the simulated ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period in a day, are determined, which can provide a basis for the coordinated control of the target renewable energy water electrolysis hydrogen synthesis ammonia system in a day, thereby improving the reliability of the coordinated control and improving the control efficiency. By monitoring the target renewable energy water electrolysis hydrogen synthesis ammonia system in real time, the real-time power generation and the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system are determined, the simulated hydrogen synthesis power in multiple time periods of a day and the simulated ammonia synthesis power in multiple time periods of a day are adjusted in real time according to the real-time power generation and the real-time hydrogen inventory, the real-time hydrogen synthesis power in multiple time periods of a day, including the real-time hydrogen synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period in a day, and the real-time ammonia synthesis power in multiple time periods of a day, including the real-time ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each third preset length period in a day, are determined, the buffer capacity and flexibility of hydrogen inventory management are fully utilized, closed-loop control and hysteresis control of the target renewable energy water electrolysis hydrogen synthesis ammonia system are performed on multiple time scales, operation timing coordination optimization of power generation and use balance and chemical production is achieved, the disposal rate of renewable energy is reduced, and energy utilization and system revenue are improved.

[0053] In a possible implementation, the all-day multi-period simulated hydrogen production power and the all-day multi-period simulated ammonia production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system are determined according to the predicted power generation power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, and the method comprises: determining an operation optimization model corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system based on the principle of power and energy balance; and determining the all-day multi-period simulated hydrogen production power and the all-day multi-period simulated ammonia production power by optimizing and solving the operation optimization model according to the predicted power generation power.

[0054] According to the device parameters corresponding to each component part in the target renewable energy water electrolysis hydrogen synthesis ammonia system, the multi-section operation characteristic analysis can be performed on the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0055] The renewable energy power generation unit generally needs to meet the principle of power and energy balance, that is, the electric energy generated by the renewable energy power generation unit needs to be dynamically balanced with the electric energy consumed by the water electrolysis hydrogen production unit and the ammonia synthesis unit. Specifically, for the renewable energy power generation unit, the power and energy balance relationship can be represented by formula (1):

[0056]

[0057] wherein, represents the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in any time period; represents the real-time ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the corresponding time period; represents the grid sales power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system; represents the predicted power generation power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system; represents the grid purchase power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0058] The hydrogen production rate of the water electrolysis hydrogen production unit can be represented by the hydrogen flow rate at the hydrogen storage medium inlet. The hydrogen flow rate at the hydrogen storage medium inlet can be represented by formula (2):

[0059]

[0060] wherein, represents the hydrogen flow rate at the hydrogen storage medium inlet; represents the real-time hydrogen production power; η HE represents the efficiency of electrolytic hydrogen production; represents the low heat value of hydrogen.

[0061] Meanwhile, the hydrogen production power of the water electrolysis hydrogen production unit needs to meet the hydrogen production power constraint condition to ensure its normal operation. The hydrogen production power constraint condition can be expressed as formula (3):

[0062]

[0063] wherein c HE represents the hydrogen production capacity corresponding to the water electrolysis hydrogen production unit; and respectively represent the minimum power and the maximum power corresponding to the water electrolysis hydrogen production unit.

[0064] The ammonia production rate of the ammonia synthesis unit can be represented by the ammonia flow rate. The ammonia flow rate can be expressed as formula (4) to formula (6):

[0065]

[0066] wherein represents the ammonia flow rate; represents the ammonia production per unit of ammonia synthesis power; represents the real-time ammonia synthesis power; formula (5) can represent the process of switching different ammonia synthesis conditions of the ammonia synthesis unit, wherein represents the current ammonia synthesis condition, represents the ammonia synthesis condition before switching, represents the time constant of the transition process of the ammonia synthesis reactor in the ammonia synthesis unit, represents the number of time points within one ammonia synthesis condition; represents the flow rate of hydrogen consumed by the ammonia synthesis unit; represents the conversion rate of hydrogen to ammonia.

[0067] For the hydrogen storage medium, the storage characteristics thereof can be described by a state space equation corresponding to the hydrogen storage medium. In the case where the real-time hydrogen inventory is represented by the real-time density of hydrogen in the hydrogen storage medium, the state space equation corresponding to the hydrogen storage medium can be expressed as formula (7):

[0068]

[0069] wherein represents the real-time pressure of hydrogen in the hydrogen storage medium at time t+1; represents the real-time pressure of hydrogen in the hydrogen storage medium at time t; c HB represents the volume of the hydrogen storage medium; R represents the ideal gas constant; T HB represents the average temperature in the hydrogen storage medium; Mol HY represents the molar mass of hydrogen; represents the hydrogen sales amount of the target renewable energy electrolysis water hydrogen synthesis ammonia system at time t; and Δt represents the time difference between time t+1 and time t.

[0070] At the same time, the hydrogen storage medium needs to meet the hydrogen storage capacity constraint to avoid the hydrogen inventory being too small or too large, causing the hydrogen storage medium to be damaged, and ensuring the safety of the target renewable energy electrolysis water hydrogen synthesis ammonia system. The hydrogen storage capacity constraint can be represented as formula (8):

[0071]

[0072] wherein, represents the minimum value of the pressure of hydrogen in the hydrogen storage medium; represents the maximum value of the pressure of hydrogen in the hydrogen storage medium.

[0073] For the ammonia storage medium, the storage characteristics thereof can be described by a state space equation corresponding to the ammonia storage medium. The state space equation corresponding to the ammonia storage medium can be represented as formula (9):

[0074]

[0075] wherein, represents the real-time hydrogen storage amount of ammonia in the ammonia storage medium at time t; represents the ammonia sales amount corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; represents the real-time hydrogen storage amount of ammonia in the ammonia storage medium at time t+1.

[0076] At the same time, the ammonia storage medium needs to meet the ammonia storage capacity constraint to avoid the ammonia inventory being too large, causing the ammonia storage medium to be damaged, and ensuring the safety of the target renewable energy electrolysis water hydrogen synthesis ammonia system. The ammonia storage capacity constraint can be represented as formula (10):

[0077]

[0078] wherein, c AB represents the capacity of the ammonia storage medium.

[0079] In addition to improving the stability of the system, the target of the collaborative control of the target renewable energy electrolysis water hydrogen synthesis ammonia system also includes improving the system revenue corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system. Therefore, the total profit corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system can be determined by comprehensively analyzing the various aspects of the revenue and expenditure during the operation of the target renewable energy electrolysis water hydrogen synthesis ammonia system, so as to serve as the basis for constructing the operation optimization function corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system. Specifically, the total profit corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system can be represented as formula (11) to formula (13):

[0080]

[0081] Max. (R-C mat ) represents the total profit corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; μ EL represents the electricity sales price corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; μ HY represents the hydrogen sales price corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; μ AM represents the ammonia sales price corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; O EL represents the electricity sales volume corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; O HY represents the hydrogen sales volume corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; O AM represents the ammonia sales volume corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; λ EL represents the electricity cost price corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; λ WA represents the water cost price corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; Q EL represents the grid purchase electricity volume corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system; Q WA represents the water consumption corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system.

[0082] The operation optimization model corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system is constructed by using formula (1), formula (11) to formula (13). In combination with the multi-stage operation characteristic analysis of the target renewable energy electrolysis water hydrogen synthesis ammonia system and the predicted power generation, the operation optimization model can be optimized and solved, so as to obtain the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power. The specific way of optimizing and solving the operation optimization model can refer to the implementation manner in the related technology, and the present disclosure does not make specific limitation thereto.

[0083] By using the operation optimization model corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system and the predicted power generation, the multi-time scale day-ahead planning optimization of the target renewable energy electrolysis water hydrogen synthesis ammonia system within a single day can be performed to improve the system stability and system benefit, the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power of the target renewable energy electrolysis water hydrogen synthesis ammonia system within a single day are predicted in advance, so that the system operation mode in actual application can be provided with reference, the difficulty of the coordinated control of the target renewable energy electrolysis water hydrogen synthesis ammonia system within a single day is reduced, and the control efficiency is improved.

[0084] In a possible implementation, the full-day multi-period simulated hydrogen production power is adjusted in real time according to the real-time power generation, and the full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system is determined, including: for any first preset length period, the simulated hydrogen production power in the first preset length period is adjusted according to the power and energy balance principle and the real-time power generation, and the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the first preset length period is determined.

[0085] For any first preset length period, the simulated hydrogen production power in the first preset length period can be adjusted according to the power and energy balance principle and the real-time power generation, combined with the foregoing multi-stage operation characteristic analysis, to determine the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the first preset length period.

[0086] Through the above process, the water electrolysis hydrogen production unit can be controlled in a closed loop with the first preset length period as the time scale, thereby improving the balance of power generation and utilization of the target renewable energy water electrolysis hydrogen synthesis ammonia system, reducing the impact of unstable renewable energy supply on the target renewable energy water electrolysis hydrogen synthesis ammonia system, and improving the stability and reliability of the system.

[0087] In a possible implementation, the full-day multi-period simulated ammonia synthesis power is adjusted in real time according to the real-time hydrogen inventory, and the full-day multi-period real-time ammonia synthesis power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system is determined, including: for any third preset length period, the real-time ammonia synthesis condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period is determined according to the ammonia synthesis condition of the previous period of the third preset length period, the real-time hydrogen inventory, and the working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system; for any third preset length period, the real-time ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period is determined according to the real-time ammonia synthesis condition and the simulated ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period.

[0088] The ammonia synthesis condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in any third preset length period can represent the running state of the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system in any third preset length period; its specific form can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations thereto.

[0089] In a possible implementation, the ammonia synthesis condition can include: normal condition, hydrogen supplement tank capacity condition, and hydrogen removal tank capacity condition.

[0090] Specifically, the normal working condition can represent that the target renewable energy water electrolysis hydrogen synthesis ammonia system is operated at a simulation ammonia production power. The hydrogen supplement storage working condition can represent that the target renewable energy water electrolysis hydrogen synthesis ammonia system is operated at a minimum ammonia production power, at this time, the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system is usually in a hot standby mode to reduce the hydrogen consumption of the ammonia synthesis unit and increase the real-time hydrogen storage amount. The hydrogen depletion storage working condition can represent that the target renewable energy water electrolysis hydrogen synthesis ammonia system is operated at a maximum ammonia production power, at this time, the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system is usually in a high working condition mode to increase the hydrogen consumption of the ammonia synthesis unit and reduce the real-time hydrogen storage amount.

[0091] The working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system can be used to indicate whether the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system needs to adjust the operating state, and the specific content thereof can be flexibly set according to actual use requirements, which is not limited in the present disclosure.

[0092] In a possible implementation, the working condition adjustment condition can include a hydrogen supplement trigger condition, a hydrogen supplement recovery condition, a hydrogen depletion trigger condition, and a hydrogen depletion recovery condition.

[0093] Specifically, the hydrogen supplement trigger condition can be used to indicate that the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted from the normal working condition to the hydrogen supplement storage working condition, and the specific content thereof can be flexibly set according to actual use requirements, for example, the hydrogen supplement trigger condition can be set as that the real-time hydrogen storage amount is less than or equal to 30% of the hydrogen storage medium capacity, etc., which is not limited in the present disclosure.

[0094] The hydrogen supplement recovery condition can be used to indicate that the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted from the hydrogen supplement storage working condition to the normal working condition, and the specific content thereof can be flexibly set according to actual use requirements, for example, the hydrogen supplement recovery condition can be set as that the real-time hydrogen storage amount is greater than or equal to 75% of the hydrogen storage medium capacity, etc., which is not limited in the present disclosure.

[0095] The hydrogen depletion trigger condition can be used to indicate that the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted from the normal working condition to the hydrogen depletion storage working condition, and the specific content thereof can be flexibly set according to actual use requirements, for example, the hydrogen depletion trigger condition can be set as that the real-time hydrogen storage amount is greater than or equal to 100% of the hydrogen storage medium capacity, etc., which is not limited in the present disclosure.

[0096] The dehydrogenation recovery condition can be used to indicate that the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted from the dehydrogenation storage capacity working condition to the normal working condition. The specific content can be flexibly set according to the actual use requirement. For example, the dehydrogenation recovery condition can be set as that the real-time hydrogen storage amount is less than or equal to 50% of the hydrogen storage medium capacity, and the like. The present disclosure does not make specific limitation thereto.

[0097] For any one third preset length period, the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period can be determined according to the ammonia synthesis working condition of the last period, the real-time hydrogen storage amount, and the working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0098] Figure 2 A flow chart of a hysteresis control strategy according to an embodiment of the present disclosure is shown. As shown in Figure 2 In the case that the ammonia synthesis working condition of the last period is the hydrogen supplement storage capacity working condition, whether the ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period needs to be adjusted can be determined according to the real-time hydrogen storage amount corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system and the working condition adjustment condition.

[0099] Specifically, in the case that the real-time hydrogen storage amount corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system satisfies the hydrogen supplement recovery condition, the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system is restored to the normal working condition in the third preset length period.

[0100] In the case that the real-time hydrogen storage amount corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system does not satisfy the hydrogen supplement recovery condition, it is determined that the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system is maintained as the hydrogen supplement storage capacity working condition in the third preset length period.

[0101] In the case that the ammonia synthesis working condition of the last period is the normal working condition, whether the ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period needs to be adjusted can be determined according to the real-time hydrogen storage amount corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system and the working condition adjustment condition.

[0102] Specifically, in the case that the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system meets the hydrogen supplement triggering condition, the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted to the hydrogen supplement storage working condition in the third preset length period; in the case that the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system meets the hydrogen removal triggering condition, the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system is adjusted to the hydrogen removal storage working condition in the third preset length period; in the case that the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system neither meets the hydrogen supplement triggering condition nor meets the hydrogen removal triggering condition, it is determined that the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system maintains the normal working condition in the third preset length period.

[0103] In the case that the ammonia synthesis working condition in the last period is the hydrogen removal storage working condition, whether the ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period needs to be adjusted can be determined according to the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system and the working condition adjustment condition.

[0104] Specifically, in the case that the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system meets the hydrogen removal recovery condition, the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system is recovered to the normal working condition in the third preset length period.

[0105] In the case that the real-time hydrogen inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system does not meet the hydrogen removal recovery condition, it is determined that the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system maintains the hydrogen removal storage working condition in the third preset length period.

[0106] After the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period is determined by the above process, the real-time ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period can be determined in combination with the simulated ammonia synthesis power.

[0107] Further, in addition to adjusting the running state of the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system, the hysteresis control strategy can also make other adjustments to the target renewable energy water electrolysis hydrogen synthesis ammonia system to realize the overall collaborative optimization of the system and improve the control efficiency.

[0108] The above Figure 2 For example, as Figure 2As shown, after determining the operation state of the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system, the operation states of the renewable energy generator unit and the water electrolysis hydrogen synthesis unit thereof can also be adjusted respectively to reduce the abandoned and grid sale electric power of the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0109] Through the above process, the real-time hydrogen inventory can be used as a control signal to fully utilize the buffering capacity and flexibility of hydrogen inventory management, to perform hysteresis control on the ammonia synthesis unit of the target renewable energy water electrolysis hydrogen synthesis ammonia system, to adaptively adjust the ammonia synthesis conditions of the ammonia synthesis unit, and to realize time sequence collaborative optimization of chemical production operation, thereby improving the stability and reliability of the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0110] Figure 3 A time sequence diagram of a collaborative control method of a renewable energy water electrolysis hydrogen synthesis ammonia system according to an embodiment of the present disclosure is shown. As shown in FIG. 1, the target renewable energy water electrolysis hydrogen synthesis ammonia system can be divided into a renewable energy generator unit, a water electrolysis hydrogen synthesis unit and an ammonia synthesis unit. Figure 3 As shown, based on the predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system, day-ahead planning optimization can be performed to determine the simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system within every 15 minutes on January 1, and the simulated ammonia synthesis power within every 8 hours on January 1. From 0:15 on January 1, the simulated hydrogen production power can be adjusted in real time according to the real-time power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system with 15 minutes as the adjustment window; at the same time, the hydrogen inventory in the hydrogen storage medium can be used to perform hysteresis control on the ammonia synthesis conditions with 15 minutes as the condition adjustment window until 24:00 on January 1. At 24:00 on January 1, the hydrogen inventory and ammonia inventory at the end of January 1 can be determined as the reference basis for the collaborative control of the target renewable energy water electrolysis hydrogen synthesis ammonia system on January 2, and the above-mentioned collaborative control process can be repeated on January 2.

[0111] In a possible implementation, the method further includes: based on a preset inspection period, performing inventory inspection on the target renewable energy water electrolysis hydrogen synthesis ammonia system to determine the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system within each inspection period; for any one inspection period, determining the ammonia retail transaction decision corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system according to the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the inspection period and a target schedulable domain, wherein the target schedulable domain is used to reflect the scheduling capability of the target renewable energy water electrolysis hydrogen synthesis ammonia system for the inventory ammonia, and the ammonia retail transaction decision includes the ammonia retail quantity of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the inspection period.

[0112] The specific value of the inspection period can be flexibly set according to actual use requirements, and depends on the transaction period of ammonia retail, for example, the inventory inspection can be performed once a week, and the present disclosure does not make specific limitations in this regard.

[0113] The target schedulable domain can be used to reflect the scheduling capability of the target renewable energy water electrolysis hydrogen synthesis ammonia system for ammonia in inventory, and the specific value can be flexibly set according to actual use requirements, and is usually affected by factors such as the preset ammonia inventory management target, the capacity of the ammonia storage medium, and the long-term contract ammonia transaction demand corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, and the present disclosure does not make specific limitations in this regard.

[0114] In one possible implementation, the method further includes: determining the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period according to the preset ammonia inventory management target; and determining the target schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period according to the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period and the ammonia inventory capacity corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0115] The ammonia inventory management target can include the maximum and minimum values of the ammonia inventory corresponding to the ammonia storage medium in each inspection period, and can be flexibly set according to actual use requirements, and the present disclosure does not make specific limitations in this regard.

[0116] In an example, for any inspection period w, the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period w can be determined according to the ammonia inventory management target in the inspection period w. Specifically, the initial schedulable domain corresponding to any time in the inspection period w can be represented by formula (14):

[0117]

[0118] wherein F W represents the initial schedulable domain corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system at time W; represents the ammonia inventory corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system at time W; represents the lower boundary of the initial schedulable domain corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system at time W; represents the upper boundary of the initial schedulable domain corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system at time W.

[0119] Let w←W-1, and under the condition that w is greater than 0, the surface representation of the initial schedulable domain can be determined according to the capacity constraint of the ammonia storage medium, and is represented by formula (15):

[0120]

[0121] wherein Q w represents the face representation of the schedulable domain; represents the ammonia inventory at any time within the checking period w.

[0122] By using the dual representation, the face representation of the initial schedulable domain can be converted into the vertex representation. The vertex representation of the initial schedulable domain can be represented by formula (16):

[0123] q w ←υertex(Q w ) (16)

[0124] wherein q w represents the vertex representation of the schedulable domain; υertex(·) represents all vertices of the face representation.

[0125] According to the prediction interval of the renewable energy power generation corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, the face representation of the prediction interval can be initialized. The face representation of the prediction interval can be represented by formula (17):

[0126] P w+1 ←Ω w+1 (17)

[0127] wherein P w+1 represents the face representation of the renewable energy power generation prediction interval; Ω w+1 represents the uncertainty set of the renewable energy generator unit output.

[0128] By using the dual representation, the face representation of the prediction interval can be converted into the vertex representation. The vertex representation of the prediction interval can be represented by formula (16):

[0129] p w+1 ←υertex(P w+1 ) (18)

[0130] wherein p w+1 represents the vertex representation of the renewable energy power generation prediction interval.

[0131] Based on formula (16) and formula (18), an augmented vertex set can be constructed, which can be represented by formula (19):

[0132]

[0133] wherein U represents the augmented vertex set.

[0134] In the case that the augmented vertex set is not empty, the linear programming problem can be solved for any vertex in the augmented vertex set. For the vertex (x' w , ξ' w+1 ), the linear programming problem can be expressed as formula (20):

[0135]

[0136] wherein u w represents the vertex to be solved; J represents that the objective function is the minimum sum of the slack variables; s represents the slack variable; A, B, C, D are constant matrices; x w+1 represents the state variable at the next time; u w+1 represents the control variable at the next time; b w+1 is a constant vector; λ represents the Lagrange multiplier; F w+1 represents the schedulable domain at the next time.

[0137] In the case that J is greater than 0, the inequality cut can be added to the face representation form of the initial schedulable domain to obtain formula (21):

[0138] Q w ← Q w ∪ {λ T (Cx w -b w+1 )≤0} (21)

[0139] Further, formula (16) and formula (19) can be updated.

[0140] In the case that J is less than or equal to 0, then U←U / {(x′ w , ξ′ w+1 )} can be obtained.

[0141] Based on the above solving process, it can be determined that the target schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the inspection period w is F w = Q w , w←w-1.

[0142] After determining the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system within any inspection period, the ammonia retail transaction decision of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the inspection period can be determined in combination with the preset target schedulable domain, and the ammonia retail quantity of the target renewable energy water electrolysis hydrogen synthesis ammonia system within the inspection period is adjusted. The specific way of determining the ammonia retail transaction decision can be flexibly set according to actual use requirements, which is not limited in the present disclosure.

[0143] Figure 4A schematic diagram of an ammonia retail transaction decision according to an embodiment of the present disclosure is shown. As shown Figure 4 For any one check period, if the ammonia inventory corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system in the period is greater than the upper boundary of the target dispatchable domain, it means that the target renewable energy electrolysis water hydrogen synthesis ammonia system is expected to meet the long-term contract ammonia transaction demand in the check period, and the ammonia inventory may overflow, and the ammonia retail quantity should be increased; if the ammonia inventory corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system in the period is less than the lower boundary of the target dispatchable domain, it means that the target renewable energy electrolysis water hydrogen synthesis ammonia system is expected to be unable to meet the long-term contract ammonia transaction demand in the check period, and the ammonia retail quantity should be reduced; if the ammonia inventory corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system in the period is within the target dispatchable domain, it means that the target renewable energy electrolysis water hydrogen synthesis ammonia system is expected to meet the long-term contract ammonia transaction demand in the check period, and the ammonia retail quantity can be kept unchanged.

[0144] The above process can be represented as formula (22):

[0145]

[0146] wherein u w represents an ammonia retail transaction decision; u Inc represents an increase in ammonia retail transaction decision; u Rem represents maintaining the ammonia retail transaction decision; u Dec represents reducing the ammonia retail transaction decision; represents the upper boundary of the target dispatchable domain; represents the ammonia inventory; represents the lower boundary of the target dispatchable domain.

[0147] By adopting the periodic inventory strategy based on the ammonia storage level, the ammonia inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system can be managed from the market dispatch level, while ensuring to meet the long-term contract ammonia transaction demand, reducing the safety risk of excessive ammonia inventory, improving the reliability and safety of system operation, and further improving the system revenue by flexibly adjusting the ammonia retail strategy.

[0148] In the embodiments of the present disclosure, according to the predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system, day-ahead planning optimization of the target renewable energy water electrolysis hydrogen synthesis ammonia system can be realized, the full-day multi-period simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day is determined, and the full-day multi-period simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period within a single day is determined, which can provide a basis for the coordinated control of the target renewable energy water electrolysis hydrogen synthesis ammonia system within a single day, thereby improving the reliability of the coordinated control and improving the control efficiency. Through real-time monitoring of the target renewable energy water electrolysis hydrogen synthesis ammonia system, the real-time power generation and the real-time hydrogen inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system are determined, the real-time power generation and the real-time hydrogen inventory are used to adjust the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power in real time, the full-day multi-period real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day is determined, and the full-day multi-period real-time ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each third preset length period within a single day is determined, the buffer capacity and flexibility of hydrogen and ammonia inventory management are fully utilized, closed-loop control and hysteresis control of the target renewable energy water electrolysis hydrogen synthesis ammonia system are performed in multiple time scales, power generation and use balance and operation time sequence coordination optimization of chemical production are realized, flexible adjustment of ammonia retail transaction decision is performed, the abandonment rate of renewable energy is reduced, and energy utilization rate and system revenue are improved.

[0149] It can be understood that the above-mentioned various method embodiments of the present disclosure can be combined with each other to form combined embodiments without deviating from the principle logic. Due to the limited space, the present disclosure will not be described again. Those skilled in the art can understand that the specific execution order of each step in the above-mentioned method should be determined according to its function and possible internal logic.

[0150] In addition, the present disclosure also provides a renewable energy water electrolysis hydrogen synthesis ammonia system coordinated control device, an electronic device and a computer readable storage medium, all of which can be used to realize any one of the renewable energy water electrolysis hydrogen synthesis ammonia system coordinated control methods provided by the present disclosure. The corresponding technical solutions and descriptions are described in the method part and are not described again.

[0151] Figure 5 A block diagram of a renewable energy water electrolysis hydrogen synthesis ammonia system coordinated control device according to an embodiment of the present disclosure is shown. As shown in Figure 5 The device 500 includes:

[0152] The day-ahead planning module 501 is configured to determine full-day multi-period simulated hydrogen production power and full-day multi-period simulated ammonia production power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system according to predicted power generation of the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period simulated hydrogen production power comprises simulated hydrogen production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each first preset length period within a single day, and the full-day multi-period simulated ammonia production power comprises simulated ammonia production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each second preset length period within a single day.

[0153] The real-time monitoring module 502 is configured to monitor the target renewable energy water electrolysis hydrogen production ammonia synthesis system in real time, and determine real-time power generation and real-time hydrogen inventory of the target renewable energy water electrolysis hydrogen production ammonia synthesis system.

[0154] The hydrogen production power closed-loop control module 503 is configured to adjust the full-day multi-period simulated hydrogen production power in real time according to the real-time power generation, and determine full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period real-time hydrogen production power comprises real-time hydrogen production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each first preset length period within a single day.

[0155] The ammonia production power hysteresis control module 504 is configured to adjust the full-day multi-period simulated ammonia production power in real time according to the real-time hydrogen inventory, and determine full-day multi-period real-time ammonia production power corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system, wherein the full-day multi-period real-time ammonia production power comprises real-time ammonia production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in each third preset length period within a single day.

[0156] In a possible implementation, the day-ahead planning module 501 is specifically configured to determine an operation optimization model corresponding to the target renewable energy water electrolysis hydrogen production ammonia synthesis system based on a power and energy balance principle, and determine the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power by optimizing and solving the operation optimization model according to the predicted power generation.

[0157] In a possible implementation, the hydrogen production power closed-loop control module 503 is specifically configured to, for any one first preset length period, adjust the simulated hydrogen production power in the first preset length period by optimization according to the power and energy balance principle and the real-time power generation, and determine real-time hydrogen production power of the target renewable energy water electrolysis hydrogen production ammonia synthesis system in the first preset length period.

[0158] In a possible implementation, the ammonia synthesis power hysteresis control module 504 is specifically configured to: for any one third preset length period, determine a real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period according to a last period synthesis ammonia working condition of the third preset length period, a real-time hydrogen inventory, and a working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system; and for any one third preset length period, determine a real-time ammonia synthesis power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period according to the real-time ammonia synthesis working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period and the simulated ammonia synthesis power.

[0159] In a possible implementation, the ammonia synthesis working condition includes a normal working condition, a hydrogen supplement working condition, and a hydrogen removal working condition, and the working condition adjustment condition includes a hydrogen supplement trigger condition, a hydrogen supplement recovery condition, a hydrogen removal trigger condition, and a hydrogen removal recovery condition.

[0160] In a possible implementation, the device 500 further includes an ammonia inventory management module configured to: based on a preset inspection period, perform inventory inspection on the target renewable energy water electrolysis hydrogen synthesis ammonia system to determine an ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period; and for any one inspection period, determine an ammonia retail transaction decision corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system according to the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period and a target schedulable domain, wherein the target schedulable domain is used to reflect a scheduling capability of the target renewable energy water electrolysis hydrogen synthesis ammonia system for the inventory ammonia, and the ammonia retail transaction decision includes an ammonia retail quantity of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period.

[0161] In a possible implementation, the ammonia inventory management module is further configured to: according to a preset ammonia inventory management target, determine an initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period; and for any one inspection period, determine a target schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period according to the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period and an ammonia inventory capacity corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

[0162] In some embodiments, the device provided by the embodiments of the present disclosure has functions or includes modules that can be used to execute the methods described in the above method embodiments, and the specific implementation can be referred to the description of the above method embodiments. For brevity, details are not described here.

[0163] The embodiment of the present disclosure further provides a computer readable storage medium, which has computer program instructions stored thereon, and the computer program instructions are executed by a processor to implement the method.

[0164] The embodiment of the present disclosure further provides an electronic device, which comprises a processor, and a memory for storing processor-executable instructions, wherein the processor is configured to implement the method when executing the instructions stored in the memory.

[0165] Figure 6 A block diagram of an electronic device according to an embodiment of the present disclosure is shown. For example, the apparatus 1900 can be provided as a server or a terminal device. Referring to Figure 6 , the apparatus 1900 comprises a processing component 1922, which further comprises one or more processors, and a memory resource represented by a memory 1932, for storing instructions executable by the processing component 1922, such as an application program. The application program stored in the memory 1932 can include one or more than one module each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute the instructions to perform the method described above.

[0166] The apparatus 1900 can further comprise a power supply component 1926 configured to perform power management of the apparatus 1900, a wired or wireless network interface 1950 configured to connect the apparatus 1900 to a network, and an input / output interface 1958 (I / O interface). The apparatus 1900 can operate based on an operating system stored in the memory 1932, such as Windows Server TM , MacOS X TM , Unix TM , Linux TM , FreeBSD TM or the like.

[0167] In an exemplary embodiment, a non-volatile computer readable storage medium, such as the memory 1932 comprising computer program instructions executable by the processing component 1922 of the apparatus 1900 to complete the method described above, is also provided.

[0168] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium having computer readable program instructions embodied therewith, the computer readable program instructions being executable by a processor to implement various aspects of the present disclosure.

[0169] Computer readable storage media can be tangible storage media which can retain and store instructions for use by an instruction execution device. Computer readable storage media can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer readable storage media include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

[0170] Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0171] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0172] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0173] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0174] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0175] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0176] Embodiments of the present disclosure have been described above, and the description is intended to be illustrative, and not restrictive, of the disclosed embodiments. Many modifications and variations of the described embodiments are possible, and all such modifications and variations are intended to be within the scope of the described embodiments. The description used herein is intended to best explain the principles of the various embodiments, the practical application, and the best mode of using the present disclosure, and to enable others skilled in the art to understand the disclosure, various embodiments, and the application, devices, and apparatuses.

Claims

1. A synergistic control method for a renewable energy water electrolysis hydrogen synthesis ammonia system, characterized in that, The method comprises the following steps: determining the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system according to the predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system, wherein the full-day multi-period simulated hydrogen production power comprises the simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day, and the full-day multi-period simulated ammonia production power comprises the simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period within a single day; monitoring the target renewable energy water electrolysis hydrogen synthesis ammonia system in real time to determine the real-time power generation and the real-time hydrogen inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system; adjusting the full-day multi-period simulated hydrogen production power in real time according to the real-time power generation to determine the full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, wherein the full-day multi-period real-time hydrogen production power comprises the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day; adjusting the full-day multi-period simulated ammonia production power in real time according to the real-time hydrogen inventory to determine the full-day multi-period real-time ammonia production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, wherein the full-day multi-period real-time ammonia production power comprises the real-time ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each third preset length period within a single day; The method further comprises the following steps: based on the preset inspection period, performing inventory inspection on the target renewable energy water electrolysis hydrogen synthesis ammonia system to determine the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period; for any one inspection period, determining the ammonia retail transaction decision corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system according to the ammonia inventory of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period and the target schedulable domain, wherein the target schedulable domain reflects the scheduling capability of the target renewable energy water electrolysis hydrogen synthesis ammonia system for the inventory of ammonia, and the ammonia retail transaction decision comprises the ammonia retail quantity of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period; The method further comprises the following steps: determining the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each inspection period according to the preset ammonia inventory management target; for any one inspection period, determining the target schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period according to the initial schedulable domain of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the inspection period and the ammonia inventory capacity corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system.

2. The method of claim 1, wherein, The corresponding predicted power generation of the target renewable energy water electrolysis hydrogen synthesis ammonia system determines the corresponding full-day multi-period simulated hydrogen production power and full-day multi-period simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system, comprising: Based on the principle of power and energy balance, an operation optimization model corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system is determined; According to the predicted power generation, the operation optimization model is optimized and solved to determine the full-day multi-period simulated hydrogen production power and the full-day multi-period simulated ammonia production power.

3. The method of claim 2, wherein, According to the real-time power generation, the full-day multi-period simulated hydrogen production power is adjusted in real time to determine the full-day multi-period real-time hydrogen production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, comprising: For any one first preset length period, according to the principle of power and energy balance and the real-time power generation, the simulated hydrogen production power in the first preset length period is adjusted to determine the real-time hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the first preset length period.

4. The method according to any one of claims 1 to 3, characterized in that, According to the real-time hydrogen inventory, the full-day multi-period simulated ammonia production power is adjusted in real time to determine the full-day multi-period real-time ammonia production power corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, comprising: For any one third preset length period, according to the last period synthesis ammonia working condition of the third preset length period, the real-time hydrogen inventory, and the working condition adjustment condition corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, the real-time synthesis ammonia working condition of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period is determined; For any one third preset length period, according to the real-time synthesis ammonia working condition and simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period, the real-time ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in the third preset length period is determined.

5. The method of claim 4, wherein, The synthesis ammonia working condition includes normal working condition, hydrogen supplement storage capacity working condition and hydrogen removal storage capacity working condition, and the working condition adjustment condition includes hydrogen supplement trigger condition, hydrogen supplement recovery condition, hydrogen removal trigger condition and hydrogen removal recovery condition.

6. A synergic control device of a system for synthesizing ammonia by hydrogen produced from renewable energy electrolysis of water, characterized in that, Comprising: The day-ahead planning module is used to determine the corresponding full-day multi-period simulated hydrogen production power and full-day multi-period simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system according to the predicted power generation corresponding to the target renewable energy water electrolysis hydrogen synthesis ammonia system, wherein the full-day multi-period simulated hydrogen production power includes the simulated hydrogen production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each first preset length period within a single day, and the full-day multi-period simulated ammonia production power includes the simulated ammonia production power of the target renewable energy water electrolysis hydrogen synthesis ammonia system in each second preset length period within a single day; The real-time monitoring module is configured to monitor the target renewable energy electrolysis water hydrogen synthesis ammonia system in real time, determine real-time power generation and real-time hydrogen inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system. The hydrogen production power closed-loop control module is configured to adjust the full-day multi-period simulated hydrogen production power in real time according to the real-time power generation, determine full-day multi-period real-time hydrogen production power of the target renewable energy electrolysis water hydrogen synthesis ammonia system, wherein the full-day multi-period real-time hydrogen production power includes real-time hydrogen production power of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each first preset length period within a single day. The ammonia production power hysteresis control module is configured to adjust the full-day multi-period simulated ammonia production power in real time according to the real-time hydrogen inventory, determine full-day multi-period real-time ammonia production power of the target renewable energy electrolysis water hydrogen synthesis ammonia system, wherein the full-day multi-period real-time ammonia production power includes real-time ammonia production power of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each third preset length period within a single day. The device further includes an ammonia inventory management module configured to: perform inventory inspection on the target renewable energy electrolysis water hydrogen synthesis ammonia system based on a preset inspection period, and determine ammonia inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each inspection period; for any one inspection period, determine ammonia retail transaction decision of the target renewable energy electrolysis water hydrogen synthesis ammonia system according to ammonia inventory of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the inspection period and a target schedulable domain, wherein the target schedulable domain reflects scheduling capability of the target renewable energy electrolysis water hydrogen synthesis ammonia system for inventory ammonia, and the ammonia retail transaction decision includes ammonia retail quantity of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the inspection period. The ammonia inventory management module is further configured to: determine initial schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in each inspection period according to a preset ammonia inventory management target; for any one inspection period, determine target schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the inspection period according to initial schedulable domain of the target renewable energy electrolysis water hydrogen synthesis ammonia system in the inspection period and ammonia inventory capacity corresponding to the target renewable energy electrolysis water hydrogen synthesis ammonia system.

7. An electronic device, comprising: comprise: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to implement the method of any one of claims 1 to 5 when executing the instructions stored in the memory.

8. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein, The computer program instructions, when executed by the processor, implement the method of any one of claims 1 to 5. The computer program instructions, when executed by the processor, implement the method of any one of claims 1 to 5.

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