Scheduling method, system and equipment for renewable energy source electric hydrogen production ammonia synthesis system

Abstract

The invention provides a scheduling method, system and equipment for a renewable energy electric hydrogen production synthesis ammonia system, and relates to the technical field of new energy power generation. The method comprises the following steps: acquiring a synthetic ammonia planned yield required by a renewable energy electric hydrogen production synthetic ammonia system; determining the output power of the wind-solar complementary power generation subsystem according to the planned output of synthetic ammonia; based on the output power, the hydrogen desorption amount of the hydrogen storage subsystem is determined; according to the hydrogen desorption amount, determining operation powers corresponding to the electrolytic bath subsystem and the synthetic ammonia subsystem which are matched with the hydrogen desorption amount; according to the hydrogen desorption amount and the operation power of the electrolytic cell subsystem, determining operation power corresponding to the battery energy storage subsystem and the power grid subsystem which are matched with the hydrogen desorption amount; and according to the output power, the operation state of the wind-solar complementary power generation subsystem is controlled, and according to the operation power, the operation state of the corresponding subsystem is controlled. According to the application, the energy utilization rate in the renewable energy electric hydrogen production synthesis ammonia system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy power generation, in particular to a scheduling method, system and device for a renewable energy power to hydrogen ammonia synthesis system. BACKGROUND

[0002] A renewable energy power to hydrogen ammonia (RePtA) system is an important path for global energy transformation and low-carbon development of the chemical industry. The system aims to produce "green hydrogen" and further synthesize "green ammonia" by large-scale consumption of renewable energy such as wind power and photovoltaic power, thereby replacing the traditional high-carbon emission ammonia production mode.

[0003] Currently, in the renewable energy power to hydrogen ammonia system, the scheduling method generally uses a fixed power generation power threshold or a rigid time allocation mode to guide the energy flow. However, this scheduling method can result in low energy utilization. SUMMARY

[0004] The present application provides a scheduling method, system and device for a renewable energy power to hydrogen ammonia system to improve energy utilization.

[0005] In a first aspect, the present application provides a scheduling method for a renewable energy power to hydrogen ammonia system, comprising: obtaining a planned ammonia production of a renewable energy power to hydrogen ammonia system to be achieved, the renewable energy power to hydrogen ammonia system comprising a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolyzer subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem and a power grid subsystem; determining an output power of the wind-solar complementary power generation subsystem according to the planned ammonia production; determining a hydrogen discharge amount within a set time period of the hydrogen storage subsystem based on the output power; determining a running power per unit time within the set time period of the electrolyzer subsystem and the ammonia synthesis subsystem corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period; determining a running power per unit time within the set time period of the battery energy storage subsystem and the power grid subsystem corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period and the running power per unit time within the set time period of the electrolyzer subsystem; controlling a running state of the wind-solar complementary power generation subsystem according to the output power, and controlling a running state of the corresponding subsystem according to the running power per unit time within the set time period.

[0006] In a possible implementation, the unit time length operation power of the electrolyzer subsystem corresponding to the hydrogen release amount in the set time length is determined according to the hydrogen release amount in the set time length, and the unit time length operation power of the ammonia synthesis subsystem corresponding to the hydrogen release amount in the set time length is determined according to the hydrogen release amount in the set time length, including: determining the operation load coefficient of the electrolyzer subsystem according to the hydrogen release amount in the set time length; determining the operation load coefficient of the ammonia synthesis subsystem according to the hydrogen release amount in the set time length; determining the unit time length operation power of the electrolyzer subsystem corresponding to the hydrogen release amount in the set time length based on the operation load coefficient of the electrolyzer subsystem; and determining the unit time length operation power of the ammonia synthesis subsystem corresponding to the hydrogen release amount in the set time length based on the operation load coefficient of the ammonia synthesis subsystem.

[0007] In a possible implementation, the unit time length operation power of the battery energy storage subsystem corresponding to the hydrogen release amount in the set time length is determined according to the hydrogen release amount in the set time length and the unit time length operation power of the electrolyzer subsystem in the set time length, and the unit time length operation power of the power grid subsystem corresponding to the hydrogen release amount in the set time length is determined according to the hydrogen release amount in the set time length and the unit time length operation power of the electrolyzer subsystem in the set time length, including: determining whether the hydrogen release amount in the set time length meets a preset correction condition; updating the unit time length operation power of the electrolyzer subsystem corresponding to the hydrogen release amount in the set time length based on a state parameter of the electrolyzer subsystem when the hydrogen release amount in the set time length meets the preset correction condition; determining the unit time length operation power of the battery energy storage subsystem corresponding to the hydrogen release amount in the set time length according to the unit time length operation power of the electrolyzer subsystem in the set time length; and determining the unit time length operation power of the power grid subsystem corresponding to the hydrogen release amount in the set time length based on the unit time length operation power of the battery energy storage subsystem in the set time length.

[0008] In a possible implementation, the unit time length operation power of the power grid subsystem corresponding to the hydrogen release amount in the set time length is determined based on the unit time length operation power of the battery energy storage subsystem in the set time length, including: determining the unit time length operation power of the power grid subsystem corresponding to the hydrogen release amount in the set time length based on the energy conservation law according to the unit time length operation power of the battery energy storage subsystem in the set time length.

[0009] In a possible implementation, the output power, the unit time length operation power of the battery energy storage subsystem in the set time length, and the unit time length operation power of the power grid subsystem are optimized with the minimization of the operation cost of the renewable energy electricity-to-hydrogen ammonia synthesis system as an optimization target, where the output power reflects the capacity ratio relationship of the wind-solar complementary power generation subsystem, and the unit time length operation power reflects the scale ratio relationship of the corresponding subsystem.

[0010] In a possible implementation, the determining the hydrogen discharge amount of the hydrogen storage subsystem within the set time period based on the output power comprises: determining a hydrogen storage state of the hydrogen storage subsystem based on the output power; and determining the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the hydrogen storage state.

[0011] In a possible implementation, the determining the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the hydrogen storage state comprises: if the hydrogen storage state is determined as the hydrogen storage state, determining the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the dischargeable electric energy of the battery energy storage subsystem, the hydrogen storage capacity of the hydrogen storage subsystem, and the output power; if the hydrogen storage state is determined as the hydrogen discharge state, determining the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the dischargeable electric energy of the battery energy storage subsystem, the hydrogen discharge capacity of the hydrogen storage subsystem, and the output power; and if the hydrogen storage state is determined as the no hydrogen storage and no hydrogen discharge state, the hydrogen discharge amount of the hydrogen storage subsystem within the set time period is determined as 0.

[0012] In a possible implementation, the determining the output power of the wind-solar complementary power generation subsystem according to the planned ammonia production quantity comprises: determining a power generation amount of the wind-solar complementary power generation subsystem according to the planned ammonia production quantity; determining a capacity of a photovoltaic module and a capacity of a wind turbine generator in the wind-solar complementary power generation subsystem based on the power generation amount; and determining the output power of the wind-solar complementary power generation subsystem according to the capacity of the photovoltaic module and the capacity of the wind turbine generator.

[0013] In a second aspect, the present application provides a scheduling device for renewable energy electricity hydrogen synthesis ammonia, comprising:

[0014] The acquisition module is configured to acquire a planned ammonia production quantity required to be reached by a renewable energy electricity hydrogen synthesis ammonia system, wherein the renewable energy electricity hydrogen synthesis ammonia system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolyzer subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem, and a power grid subsystem.

[0015] The determining module is configured to determine an output power of the wind-solar complementary power generation subsystem according to the planned ammonia production quantity, and determine a hydrogen discharge amount of the hydrogen storage subsystem within a set time period based on the output power.

[0016] The determining module is further configured to determine, according to the hydrogen discharge amount within the set time period, a running power per unit time within the set time period of the electrolyzer subsystem and the ammonia synthesis subsystem respectively corresponding to the hydrogen discharge amount within the set time period, and determine, according to the hydrogen discharge amount within the set time period and the running power per unit time within the set time period of the electrolyzer subsystem, a running power per unit time within the set time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount within the set time period.

[0017] The control module is configured to control the running state of the wind-solar complementary power generation electronic system according to the output power, and control the running state of the corresponding subsystem according to the running power per unit time within the set time period.

[0018] In a possible implementation, the determination module is configured to: determine a running load coefficient of the electrolyzer subsystem according to the hydrogen release amount within the set time period; determine a running load coefficient of the ammonia synthesis subsystem according to the hydrogen release amount within the set time period; determine the running power per unit time within the set time period of the electrolyzer subsystem matched with the hydrogen release amount within the set time period based on the running load coefficient of the electrolyzer subsystem; and determine the running power per unit time within the set time period of the ammonia synthesis subsystem matched with the hydrogen release amount within the set time period based on the running load coefficient of the ammonia synthesis subsystem.

[0019] In a possible implementation, the determination module is configured to: determine whether the hydrogen release amount within the set time period meets a preset correction condition; update the running power per unit time within the set time period of the electrolyzer subsystem matched with the hydrogen release amount within the set time period based on the state parameter of the electrolyzer subsystem when the hydrogen release amount within the set time period meets the preset correction condition; determine the running power per unit time within the set time period of the battery energy storage subsystem matched with the hydrogen release amount within the set time period according to the running power per unit time within the set time period of the electrolyzer subsystem; and determine the running power per unit time within the set time period of the power grid subsystem matched with the hydrogen release amount within the set time period based on the running power per unit time within the set time period of the battery energy storage subsystem.

[0020] In a possible implementation, the determination module is configured to: determine the running power per unit time within the set time period of the power grid subsystem matched with the hydrogen release amount within the set time period according to the running power per unit time within the set time period of the battery energy storage subsystem based on the law of conservation of energy.

[0021] In a possible implementation, the renewable energy electricity-to-hydrogen ammonia synthesis scheduling device further includes an optimization module, which is specifically configured to: optimize the output power, the running power per unit time within the set time period of the battery energy storage subsystem, and the running power per unit time within the set time period of the power grid subsystem, with the minimization of the running cost of the renewable energy electricity-to-hydrogen ammonia synthesis system as the optimization target, wherein the output power reflects the capacity ratio relationship of the wind-solar complementary power generation electronic system, and the running power per unit time within the set time period reflects the scale ratio relationship of the corresponding subsystem.

[0022] In a possible implementation, the determination module is specifically configured to: determine the hydrogen storage state of the hydrogen storage subsystem based on the output power; and determine the hydrogen release amount of the hydrogen storage subsystem within the set time period according to the hydrogen storage state.

[0023] In a possible implementation, the determining module is specifically configured to: if the hydrogen storage state is determined as the hydrogen storage state, determine the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the storable electric energy of the battery energy storage subsystem, the storable hydrogen amount of the hydrogen storage subsystem, and the output power; if the hydrogen storage state is determined as the hydrogen discharge state, determine the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the dischargeable electric energy of the battery energy storage subsystem, the dischargeable hydrogen amount of the hydrogen storage subsystem, and the output power; and if the hydrogen storage state is determined as the no hydrogen storage and no hydrogen discharge state, the hydrogen discharge amount of the hydrogen storage subsystem within the set time period is determined as 0.

[0024] In a possible implementation, the determining module is specifically configured to: determine the power generation of the wind-solar complementary power generation subsystem according to the planned production of synthetic ammonia; determine the capacity of the photovoltaic component and the capacity of the fan generator in the wind-solar complementary power generation subsystem based on the power generation; and determine the output power of the wind-solar complementary power generation subsystem according to the capacity of the photovoltaic component and the capacity of the fan generator.

[0025] In a third aspect, the present application provides a scheduling system for renewable energy electricity hydrogen synthesis ammonia, the scheduling system comprising: a renewable energy electricity hydrogen synthesis ammonia system and a controller; the renewable energy electricity hydrogen synthesis ammonia system comprising a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolytic cell subsystem, a synthetic ammonia subsystem, a battery energy storage subsystem, and a power grid subsystem, which are connected with the controller respectively; and the controller is configured to execute the first aspect and / or various possible implementations of the first aspect.

[0026] In a fourth aspect, the present application provides an electronic device, comprising: a memory and a processor; the memory stores computer execution instructions; and the processor executes the computer execution instructions stored in the memory, so that the processor executes the first aspect and / or various possible implementations of the first aspect.

[0027] In a fifth aspect, the present application provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are configured to implement the first aspect and / or various possible implementations of the first aspect when executed.

[0028] In a sixth aspect, the present application provides a computer program product, comprising a computer program, which is configured to implement the first aspect and / or various possible implementations of the first aspect when executed.

[0029] The application provides a scheduling method, system and device of a renewable energy electricity hydrogen synthesis ammonia system, and relates to the technical field of new energy power generation. The method comprises the following steps: obtaining a planned ammonia synthesis yield required by a renewable energy electricity hydrogen synthesis ammonia system, wherein the renewable energy electricity hydrogen synthesis ammonia system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolytic cell subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem and a power grid subsystem; determining an output power of the wind-solar complementary power generation subsystem according to the planned ammonia synthesis yield; determining a hydrogen discharge amount within a set time length of the hydrogen storage subsystem based on the output power; determining a running power per unit time within the set time length corresponding to the electrolytic cell subsystem and the ammonia synthesis subsystem respectively according to the hydrogen discharge amount within the set time length and the hydrogen discharge amount; determining a running power per unit time within the set time length corresponding to the battery energy storage subsystem and the power grid subsystem respectively according to the hydrogen discharge amount within the set time length and the running power per unit time within the set time length of the electrolytic cell subsystem; and controlling the running state of the wind-solar complementary power generation subsystem according to the output power, and controlling the running state of the corresponding subsystem according to the running power per unit time within the set time length. According to the application, the output power of the wind-solar complementary power generation subsystem is determined according to the planned ammonia synthesis yield required by the renewable energy electricity hydrogen synthesis ammonia system, and the hydrogen discharge amount within the set time length of the hydrogen storage subsystem is determined according to the output power, so that the hydrogen discharge amount of the hydrogen storage subsystem can accurately reflect the real-time fluctuation of wind energy and solar energy resources. The running power per unit time within the set time length corresponding to the electrolytic cell subsystem and the ammonia synthesis subsystem respectively is determined according to the hydrogen discharge amount within the set time length, and the running power per unit time within the set time length corresponding to the battery energy storage subsystem and the power grid subsystem respectively is determined according to the hydrogen discharge amount within the set time length and the running power per unit time within the set time length of the electrolytic cell subsystem, so that the hydrogen discharge amount is accurately matched with the running power of the electrolytic cell subsystem, the ammonia synthesis subsystem, the battery energy storage subsystem and the power grid subsystem, the renewable energy power generation can be maximally consumed, the wind and light can be effectively avoided when renewable energy is insufficient, and the energy utilization efficiency can be significantly improved by taking power from the battery energy storage subsystem or the power grid subsystem for supplement. The running state of the corresponding subsystem is controlled according to the running power per unit time within the set time length. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings, which are incorporated herein and form part of the specification, illustrate embodiments consistent with the application and, together with the description, further serve to explain the principles of the application.

[0031] Figure 1 A structure schematic diagram of the renewable energy electricity hydrogen synthesis ammonia system provided by the application is shown in the figure.

[0032] Figure 2 Flowchart of the scheduling method of the renewable energy electricity hydrogen synthesis ammonia system provided by the embodiment of the present application Figure 1 ;

[0033] Figure 3 Flowchart of the scheduling method of the renewable energy electricity hydrogen synthesis ammonia system provided by the embodiment of the present application Figure 2 ;

[0034] Figure 4 Schematic diagram of the electricity scheduling of the renewable energy electricity hydrogen synthesis ammonia system in the first 240 hours provided by the embodiment of the present application

[0035] Figure 5 Structural schematic diagram of the scheduling device of the renewable energy electricity hydrogen synthesis ammonia system provided by the embodiment of the present application

[0036] Figure 6 Structural schematic diagram of the scheduling system of the renewable energy electricity hydrogen synthesis ammonia provided by the embodiment of the present application

[0037] Figure 7 Structural schematic diagram of the electronic device provided by the embodiment of the present application.

[0038] The specific embodiments of the present application have been shown in the above-described drawings, and will be described in more detail hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0039] The exemplary embodiments will be described in detail herein with reference to the accompanying drawings. The following description is presented with reference to the drawings to explain the present application. The present application can be implemented in various manners, and is not limited to the exemplary embodiments described herein. Therefore, specific structural examples described in the following exemplary embodiments do not represent all the embodiments consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the present application, as detailed in the appended claims.

[0040] The renewable energy electricity hydrogen synthesis ammonia system is a key way to consume large-scale wind power, photovoltaic power and other renewable energy, and is also an important technical route for the chemical industry to achieve low-carbon and clean development.

[0041] The renewable energy electricity hydrogen synthesis ammonia system is friendly to the power grid. Flexible process technology is adopted in the hydrogen production and ammonia production links. The hydrogen production equipment has the characteristics of large power regulation range, fast response and high precision regulation, and the flexibility level of the ammonia production equipment is continuously improved. According to the relevant carbon emission calculation rules, if the total chain of the renewable energy electricity hydrogen synthesis ammonia system for producing green ammonia uses no more than 1%-3% of the grid electricity, the product is completely green ammonia, which has high additional value at present.

[0042] In the production of completely green ammonia, not only advanced flexible process technology is needed, but also the evaluation and optimization method of the economy of the renewable energy electricity hydrogen synthesis ammonia system. By optimizing the scale capacity of each subsystem of the renewable energy electricity hydrogen synthesis ammonia system and the scheduling process of electric energy and hydrogen flow in the system, the renewable energy electricity hydrogen synthesis ammonia process can achieve the highest economy under the current technology level.

[0043] In view of the above, the scheduling method of the renewable energy electricity hydrogen synthesis ammonia system provided by the application determines the output power of the wind-solar complementary power generation subsystem according to the obtained synthesis ammonia planning yield required by the renewable energy electricity hydrogen synthesis ammonia system, and determines the hydrogen discharge amount of the hydrogen storage subsystem within the set time according to the output power; according to the hydrogen discharge amount, the running power per unit time of the electrolyzer subsystem and the synthesis ammonia subsystem corresponding to the hydrogen discharge amount within the set time is determined, and according to the hydrogen discharge amount and the running power of the electrolyzer subsystem, the running power per unit time of the battery energy storage subsystem and the grid subsystem corresponding to the hydrogen discharge amount within the set time is determined. In this way, by accurately matching the hydrogen discharge amount with the running power of the electrolyzer subsystem, the synthesis ammonia subsystem, the battery energy storage subsystem and the grid subsystem, the renewable energy power generation can be maximized. When the renewable energy is insufficient, electricity is taken from the battery energy storage subsystem or the grid subsystem to supplement, thereby effectively avoiding wind and light abandonment, and significantly improving energy utilization efficiency. According to the output power, the running state of the wind-solar complementary power generation subsystem is controlled, and according to the running power per unit time within the set time, the running state of the corresponding subsystem is controlled.

[0044] Figure 1 The structure schematic diagram of the renewable energy electricity hydrogen synthesis ammonia system provided by the application is provided. As shown in Figure 1 The renewable energy electricity hydrogen synthesis ammonia system includes a wind-solar complementary power generation subsystem, an electrolyzer subsystem, a hydrogen storage subsystem, a battery energy storage subsystem, a synthesis ammonia subsystem and a grid subsystem. The synthesis ammonia subsystem includes an air separation nitrogen unit and a synthesis ammonia device, and the wind-solar complementary power generation subsystem is based on the cooperative configuration of a wind turbine generator and a photovoltaic component.

[0045] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes can not be described again in some examples. The embodiments of the present application will be described below with reference to the drawings.

[0046] Figure 2 The flowchart of the scheduling method of the renewable energy electricity hydrogen synthesis ammonia system provided by the embodiments of the present application Figure 1 As shown in the formula (1), the method comprises the following steps. Figure 2

[0047] S201, obtain the planned ammonia synthesis yield to be reached by the renewable energy electricity hydrogen synthesis ammonia system, wherein the renewable energy electricity hydrogen synthesis ammonia system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolytic cell subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem and a power grid subsystem.

[0048] In this step, the renewable energy electricity hydrogen synthesis ammonia system refers to a clean energy chemical system that uses clean power such as wind energy and solar energy to produce hydrogen by electrolyzing water, and then synthesizes ammonia with nitrogen in the air, thereby realizing zero-carbon or low-carbon ammonia production.

[0049] The planned ammonia synthesis yield refers to the amount of ammonia that can be stably produced by the renewable energy electricity hydrogen synthesis ammonia system under specific design conditions.

[0050] S202, determine the output power of the wind-solar complementary power generation subsystem according to the planned ammonia synthesis yield.

[0051] In this step, it can be understood that the output power of the wind-solar complementary power generation subsystem is determined according to the planned ammonia synthesis yield determined in S201.

[0052] In some examples, determining the output power of the wind-solar complementary power generation subsystem according to the planned ammonia synthesis yield comprises: determining the power generation capacity of the wind-solar complementary power generation subsystem according to the planned ammonia synthesis yield; determining the capacity of the photovoltaic component and the capacity of the wind turbine generator in the wind-solar complementary power generation subsystem based on the power generation capacity; and determining the output power of the wind-solar complementary power generation subsystem according to the capacity of the photovoltaic component and the capacity of the wind turbine generator.

[0053] The output power of a unit capacity wind turbine generator and a photovoltaic component per hour in a year can be obtained by consulting a power company, querying historical operation data on an information disclosure website, or calculated based on historical meteorological data through a mathematical model.

[0054] The annual power generation capacity of a unit capacity wind turbine generator and a photovoltaic component is calculated according to the following formula:

[0055] ​

[0056] where k wd (i) and k pv (i) are the output power of the wind turbine generator and the photovoltaic module respectively in the i-th hour, in kW; H, WD and H, PV are the annual output power of the wind turbine generator and the photovoltaic module respectively, in kWh.

[0057] It should be noted that the annual power generation of the wind turbine generator and the photovoltaic module per unit capacity is calculated based on 365 days, i.e. 8760 hours.

[0058] Next, the wind-solar complementary power generation system needs to build the wind turbine generator capacity N WD and the photovoltaic module capacity N PV , in kW, which can be calculated by the following formula:

[0059]

[0060] where f b is the proportion of wind power in the annual power generation of the wind-solar complementary power generation system; Q is the annual power generation required to achieve the planned production of synthetic ammonia, in kWh, which is determined by the power consumption model.

[0061] The power consumption model can be expressed by the following formula:

[0062]

[0063] where W PEM is the power consumption of the electrolytic cell subsystem to produce 1.0 kg of H2, in kWh; W ASU is the power consumption of the air separation nitrogen unit to produce 1.0 kg of N2, in kWh; W AMM is the power consumption of the ammonia catalytic synthesis section to produce 1.0 kg of NH3, i.e. W AMM is the power consumption of the synthetic ammonia subsystem to produce 1.0 kg of NH3, in kWh; represents the planned production of synthetic ammonia, in wt / a; and represent the amount of hydrogen and nitrogen consumed to produce ammonia, in wt / a. The values of these parameters are determined by the current performance and process level of the subsystem.

[0064] Further, can be determined by the material consumption model, which can be expressed by the following formula:

[0065]

[0066] where, respectively, are the loss coefficients of hydrogen and nitrogen in the synthetic ammonia process, the smaller the coefficient value, the higher the process atom economy.

[0067] Finally, the hourly output power GEN(i) of the wind-solar complementary power generation system can be calculated, and the calculation formula is: GEN(i) = N WD × k wd (i) + N PV × k pv (i).

[0068] The example determines the output power of the wind-solar complementary power generation system in the renewable energy electricity hydrogen synthesis ammonia system according to the planned production of synthetic ammonia, which can ensure that the subsequent scheduling strategy of the renewable energy electricity hydrogen synthesis ammonia system is around the actual generation demand, avoiding the problem of blind scheduling or disconnection with the production target.

[0069] S203, based on the output power, determine the hydrogen release amount within the set time length of the hydrogen storage subsystem.

[0070] After determining the output power of the wind-solar complementary power generation system, the hydrogen release amount of the hydrogen storage subsystem in the renewable energy electricity hydrogen synthesis ammonia system is determined according to the output power of the wind-solar complementary power generation system. This means that the output power of the wind-solar complementary power generation system directly affects the hydrogen release strategy of the hydrogen storage subsystem.

[0071] S204, according to the hydrogen release amount within the set time length, determine the running power per unit time within the set time length corresponding to the electrolyzer subsystem and the synthesis ammonia subsystem respectively.

[0072] For example, according to the hydrogen release amount within the set time length, the running power per unit time within the set time length corresponding to the electrolyzer subsystem and the synthesis ammonia subsystem respectively is determined, which includes: determining the running load coefficient of the electrolyzer subsystem according to the hydrogen release amount within the set time length; determining the running load coefficient of the synthesis ammonia subsystem according to the hydrogen release amount within the set time length; based on the running load coefficient of the electrolyzer subsystem, determining the running power per unit time within the set time length of the electrolyzer subsystem matched with the hydrogen release amount within the set time length; based on the running load coefficient of the synthesis ammonia subsystem, determining the running power per unit time within the set time length of the synthesis ammonia subsystem matched with the hydrogen release amount within the set time length. The set time length can be set according to actual demand, for example, the set time length is set to 24 hours.

[0073] Wherein, since the adjustment period of the synthesis ammonia subsystem is 24 hours, the running load coefficient of the synthesis ammonia subsystem at the i-th hour (i = 1 to 24) is calculated as follows: θ2(i) = θ2(t). Therefore, the running power of the synthesis ammonia subsystem at each hour (i = 1 to 24) of the day is:

[0074]

[0075] Next, according to the hydrogen discharge amount of the hydrogen storage subsystem on the day, the operation power P of the electrolyzer subsystem per hour is determined AMM (i), is divided into two cases as follows:

[0076] 1. When the hydrogen discharge amount of the hydrogen storage subsystem on the day is equal to 0, i.e. Flux(t) = 0, the operation load factor θ1(i) of the electrolyzer subsystem is expressed by the following formula:

[0077]

[0078] 2. When the hydrogen discharge amount of the hydrogen storage subsystem on the day is not equal to 0, the operation load factor θ1(i) of the electrolyzer subsystem is expressed by the following formula:

[0079]

[0080] Therefore, the operation power of the electrolyzer subsystem per hour (i = 1 to 24) on the day is:

[0081]

[0082] It should be noted that the unit of t is day; the unit of i is hour.

[0083] The embodiment of the present application can more accurately determine the operation load factor of the ammonia synthesis subsystem and the electrolyzer subsystem according to the hydrogen discharge amount in the set time period of the hydrogen storage subsystem, thereby laying a foundation for the energy utilization rate of the renewable energy electricity-to-hydrogen ammonia synthesis system.

[0084] S205, according to the hydrogen discharge amount in the set time period and the operation power per unit time period of the electrolyzer subsystem in the set time period, determine the operation power per unit time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount in the set time period.

[0085] In this step, it can be understood that the hydrogen discharge amount in the set time period determined according to S203 and the operation power per unit time period of the electrolyzer subsystem in the set time period determined according to S204 determine the operation power per unit time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount in the set time period. This means that the operation power per unit time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount in the set time period is determined by the hydrogen discharge amount of the hydrogen storage subsystem and the operation power per unit time period of the electrolyzer subsystem in the set time period.

[0086] S206, according to the output power, control the running state of the wind-solar complementary electronic system, and according to the running power per unit time within the set time length, control the running state of the corresponding subsystem.

[0087] In this step, it can be understood that the renewable energy electricity hydrogen synthesis ammonia system monitors the output power of the wind-solar complementary electronic system as the basis data for operation control. The renewable energy electricity hydrogen synthesis ammonia system intelligently adjusts the running state of the wind turbine and the photovoltaic panel according to the above data. Further, based on the running power per unit time within the set time length, the corresponding subsystem is scheduled in real time.

[0088] The embodiment of the application determines the output power of the wind-solar complementary electronic system according to the obtained synthetic ammonia planning yield required to be reached by the renewable energy electricity hydrogen synthesis ammonia system, and determines the hydrogen release amount of the hydrogen storage subsystem within the set time length according to the output power, so that the hydrogen release amount of the hydrogen storage subsystem accurately reflects the real-time fluctuation of wind energy and solar energy resources; according to the hydrogen release amount within the set time length, the running power per unit time within the set time length corresponding to the hydrogen release amount within the set time length of the electrolyzer subsystem and the synthetic ammonia subsystem respectively is determined, and according to the hydrogen release amount within the set time length and the running power per unit time within the set time length of the electrolyzer subsystem, the running power per unit time within the set time length corresponding to the hydrogen release amount within the set time length of the battery energy storage subsystem and the power grid subsystem respectively is determined, so that by accurately matching the hydrogen release amount with the running power of the electrolyzer subsystem, the synthetic ammonia subsystem, the battery energy storage subsystem and the power grid subsystem, the renewable energy power generation can be maximized, when the renewable energy is insufficient, electricity is taken from the battery energy storage subsystem or the power grid subsystem to supplement, thereby effectively avoiding wind and light abandonment, and significantly improving energy utilization efficiency; according to the output power, control the running state of the wind-solar complementary electronic system, and according to the running power per unit time within the set time length, control the running state of the corresponding subsystem.

[0089] Before determining the running power per unit time within the set time length corresponding to each subsystem, the models corresponding to the electrolyzer subsystem, the battery energy storage subsystem and the synthetic ammonia subsystem respectively need to be determined.

[0090] The capacity C of the battery energy storage subsystem (Battery Energy Storage Subsystem, abbreviated as BESS) BAT and the maximum output power B POW is determined by the battery stack, wherein the unit of C BAT is kWh, and the unit of B POW is kW.

[0091] Taking a 100kW / 200kWh energy storage battery as an example:

[0092]

[0093] where N is the number of battery energy storage subsystems with specific specifications (e.g., 100 kW / 200 kWh) integrated.

[0094] The battery energy storage subsystem can accurately control the charge and discharge power of the battery stack to achieve the optimal operation of the energy storage system. The formula describing the operating characteristics of the battery energy storage subsystem is as follows:

[0095]

[0096] where SOC is the energy storage load factor of the battery energy storage subsystem; SOC min and SOC max are the minimum and maximum energy storage load factors of the battery energy storage subsystem, respectively; Pch(i) is the operating power of the battery energy storage subsystem at the ith hour, i.e., the discharge power, with the unit of kW; is the decay coefficient of the battery energy storage subsystem; ε is the efficiency of the input or output power of the battery energy storage subsystem.

[0097] The formula describing the operating process of the electrolyzer subsystem (Proton Exchange Membrane Electrolyzer, abbreviated as PEM) is as follows:

[0098]

[0099] where, is the maximum output power of the electrolyzer subsystem, with the unit of kW; P PEM is the actual operating power of the electrolyzer subsystem, with the unit of kW; θ1 max is the maximum operating load factor of the electrolyzer subsystem; θ1 is the actual operating load factor of the electrolyzer subsystem; θ1 min is the minimum operating load factor of the electrolyzer subsystem.

[0100] The formula describing the operating process of the ammonia synthesis subsystem (Ammonia Synthesis, abbreviated as AMM) is as follows:

[0101]

[0102] where, is the maximum output power of the ammonia synthesis subsystem, which is the sum of the operating powers of the air separation unit (Air Separation Unit, abbreviated as ASU) and the ammonia synthesis device, with the unit of kW; P AMM is the actual operating power of the ammonia synthesis subsystem, with the unit of kW; θ2 maxis the maximum operating load factor of the ammonia synthesis subsystem; θ2 is the actual operating load factor of the ammonia synthesis subsystem; θ2 min is the minimum operating load factor of the ammonia synthesis subsystem.

[0103] The energy and material flow among the above-mentioned subsystems satisfies the following two equations, which are the energy (electricity) conservation equation and the material (hydrogen) conservation equation, respectively:

[0104]

[0105] wherein Pg(i) is the on-grid power of the wind-solar complementary power generation subsystem in the ith hour (a positive value represents on-grid, and the cumulative amount within the specified on-grid amount is sold to the power grid, and the amount exceeding the specified on-grid amount is abandoned by the power grid. A negative value represents off-grid, representing a power purchase behavior), and the unit is kW.

[0106] In the above-mentioned energy conservation equation, only GEN(i) is an input variable, and it is obviously impossible to directly solve it. Therefore, a system optimization scheduling method with strict logic is needed to reasonably regulate the process of material flow and electric energy flow in each model, so as to obtain the operating state of each subsystem.

[0107] In some examples, determining, according to the hydrogen release amount in the set time period and the operating power per unit time of the electrolyzer subsystem in the set time period, the operating power per unit time of the battery energy storage subsystem and the operating power per unit time of the power grid subsystem corresponding to the hydrogen release amount in the set time period as described in S205 includes: determining whether the hydrogen release amount in the set time period satisfies a preset correction condition; when the hydrogen release amount in the set time period satisfies the preset correction condition, updating the operating power per unit time of the electrolyzer subsystem in the set time period corresponding to the hydrogen release amount in the set time period based on a state parameter of the electrolyzer subsystem; determining the operating power per unit time of the battery energy storage subsystem in the set time period corresponding to the hydrogen release amount in the set time period according to the operating power per unit time of the electrolyzer subsystem in the set time period; and determining the operating power per unit time of the power grid subsystem in the set time period corresponding to the hydrogen release amount in the set time period based on the operating power per unit time of the battery energy storage subsystem in the set time period.

[0108] In these examples, after determining the operating power per unit time of the electrolyzer subsystem in the set time period through S204, the operating power per unit time of the battery energy storage subsystem and the operating power per unit time of the power grid subsystem corresponding to the hydrogen release amount in the set time period are determined according to the hydrogen release amount in the set time period and the operating power per unit time of the electrolyzer subsystem in the set time period.

[0109] Next, taking 24 hours as an example, the set time period is explained and described. First, the hydrogen release amount of the hydrogen storage subsystem per hour (i = 1 to 24) needs to be determined as follows:

[0110]

[0111] After calculating the hydrogen discharge amount per hour, the operation load factor and operation power of the electrolyzer subsystem are corrected in the presence of two extreme cases, that is, whether the hydrogen discharge amount per hour meets the preset correction condition, and when the correction condition is met, the operation load factor and hourly operation power of the electrolyzer subsystem are corrected.

[0112] The first extreme case: Flux(i) = Fluxout, which means that the hydrogen production rate of the electrolyzer subsystem plus the hydrogen discharge rate of the hydrogen storage subsystem cannot reach the consumption rate of the ammonia synthesis subsystem, at this time, the battery energy storage subsystem and the power grid subsystem need to supply power to the electrolyzer subsystem, and the hourly operation power of the electrolyzer subsystem is updated as follows:

[0113]

[0114] According to P PEM (i) Update θ1(i) of the electrolyzer subsystem in this state:

[0115]

[0116] The second extreme case: Flux(i) = Fluxin, which means that the hydrogen production rate of the electrolyzer subsystem exceeds the consumption rate of the ammonia synthesis subsystem plus the hydrogen storage rate of the hydrogen storage subsystem, at this time, the operation power of the electrolyzer subsystem needs to be reduced, and the excess power is sent to the power grid subsystem, and θ1(i) of the electrolyzer subsystem in this state is updated as follows: And the hourly operation power of the electrolyzer subsystem is updated as follows:

[0117] It should be noted that when the hydrogen discharge amount per hour does not exist the above two extreme cases, the operation load factor and hourly operation power of the electrolyzer subsystem do not need to be corrected.

[0118] Further, after completing the above correction judgment and correction operation, according to the hourly operation power of the electrolyzer subsystem in the current state, the hourly operation power of the battery energy storage subsystem is calculated in two cases, that is, the hourly discharge power Pch(i) of the battery energy storage subsystem is calculated in two cases.

[0119] The first case GEN(i) ≥ P PEM (i) + P AMM (i) is:

[0120] Pch(i) = Max{Pchin, P PEM (i) + P AMM (i) - GEN(i)}.

[0121] The second case GEN(i) < P PEM (i) + P AMM (i) + P

[0122] Pch(i) = Min{Pchout, P PEM (i) + P AMM (i) - GEN(i)}.

[0123] After determining the hourly operating power of the battery energy storage subsystem, the hourly operating power of the power grid subsystem is determined based on the hourly operating power of the battery energy storage subsystem. Wherein, based on the operating power per unit time within the set time of the battery energy storage subsystem, the operating power per unit time within the set time of the power grid subsystem matched with the hydrogen release amount within the set time is determined, including: based on the law of conservation of energy, the operating power per unit time within the set time of the power grid subsystem matched with the hydrogen release amount within the set time is determined according to the operating power per unit time within the set time of the battery energy storage subsystem.

[0124] For example, the hourly grid-connected power of the power grid subsystem is calculated according to the law of conservation of energy, that is, the hourly operating power of the power grid subsystem is calculated according to the law of conservation of energy. And the hourly operating power of the power grid subsystem is:

[0125] Pch(i) = Min{Pchout, P PEM (i) - P AMM (i) - GEN(i)}.

[0126] The embodiments of the present application can determine the hourly work load of each subsystem of the renewable energy electricity hydrogen synthesis ammonia system, the hourly grid-connected power, ammonia production, oxygen and hydrogen mass of the renewable energy electricity hydrogen synthesis ammonia system, and the annual cumulative amount through the above-mentioned manner.

[0127] On the basis of the above-mentioned embodiments, the scheduling method of the renewable energy electricity hydrogen synthesis ammonia system provided by the embodiments of the present application further includes: taking the minimization of the operating cost of the renewable energy electricity hydrogen synthesis ammonia system as the optimization target, optimizing the output power, the operating power per unit time within the set time of the battery energy storage subsystem and the operating power per unit time within the set time of the hydrogen storage subsystem, wherein the output power reflects the capacity ratio relationship of the wind-solar complementary power generation subsystem, and the operating power per unit time within the set time reflects the scale ratio relationship of the corresponding subsystem.

[0128] The operation cost can be a levelized cost of ammonia (LCOA), which is defined as the ratio of the present value of the total cost of the whole life cycle of the ammonia production system to the discounted total output of the whole life cycle of the ammonia production system, and is used to evaluate the economy of the system.

[0129] The return rate of the renewable energy electricity-to-hydrogen ammonia synthesis system is divided into two kinds, one is selling electricity to the power grid, and the other is selling industrial gas, including oxygen, hydrogen and ammonia, where hydrogen refers to the surplus part of the annual supply of synthetic ammonia.

[0130] The expenditure of the renewable energy electricity-to-hydrogen ammonia synthesis system is divided into one-time equipment investment (initial investment), operation and maintenance cost, personnel salary and welfare cost, consumable cost, land rent.

[0131] Therefore, the calculation method of the levelized cost of ammonia production of the new renewable energy electricity-to-hydrogen ammonia synthesis system is:

[0132]

[0133] Y is the whole life cycle of the renewable energy electricity-to-hydrogen ammonia synthesis system, the unit is year; r is the discount rate; for the yth year (construction period y = 0, operation period 1 ≤ y ≤ Y); C inv is the actual investment of the year (corresponding to one-time equipment investment of y = 0 and investment of operation period y > 0, including wind turbine, photovoltaic, BESS, PEM, HS, AMM and water treatment); C o&M is the total operation and maintenance cost of the year (which can be calculated according to 2% to 5% of the total investment cost of the equipment); C W is the material consumption cost of the year (mainly desalted water); R g is the income of selling electricity to the grid of the year; R o is the income of selling liquid oxygen of the year, R H is the income of selling green hydrogen of the year, all units are ten thousand yuan. R A is the green ammonia output of the year, the unit is ten thousand tons.

[0134] Further, the values of the investment and income in the LCOA function can be obtained by multiplying the market unit price and the quantity, which is suitable for quickly evaluating the economy of the ammonia production process. Of course, the application does not limit to consider the construction scale effect, key equipment cost reduction, flexible process dynamic energy consumption and chemical price fluctuation in the local investment and income model, so as to achieve more accurate effect.

[0135] It can be considered that under the above constraint conditions, the smaller the LCOA value is, the stronger the economy of the output scheme is.

[0136] In the LCOA function, the scale of PEM and AMM is obtained according to the planned production of synthetic ammonia, which can be considered as an input value.

[0137] While the capacity ratio parameters of wind turbine generators and photovoltaic components, the scale of battery energy storage subsystem, and the capacity of hydrogen storage subsystem are variable, which directly affect the investment and operation cost part in LCOA and indirectly affect the various revenues.

[0138] Therefore, it is necessary to assign the scale parameters of the key subsystems: fb is the proportion of wind power in the annual power generation of the wind-solar complementary electronic system, and the parameter value is set to 0-1; N is the number of integrated specific specifications (such as 100kW / 200kWh) batteries of the battery energy storage subsystem, and the parameter value is set to 0-10000 (which can be adjusted according to the strictness of the constraint) and rounded; D is the time that the hydrogen storage subsystem independently guarantees the operation of the synthetic ammonia subsystem, which is usually set to 0-10 days.

[0139] Then, the minimum LCOA is solved by iteration. The solving process is as follows: the values of the three parameters fb, N, and D are input, and the annual hourly power dispatching situation is obtained by the optimization dispatching algorithm, including the hourly operating power of the wind-solar complementary electronic system, the discharging power of the battery energy storage subsystem, the grid-connected power of the grid subsystem, and the hourly operating power of the synthetic ammonia subsystem and the electrolyzer subsystem; then the local optimal scheme under the corresponding device scale is calculated by the LCOA function; by comparing the local optimal schemes of different fb, N, and D, the global optimal scheme that meets the two conditions of power abandonment rate and grid-connected rate is obtained as the best scheme.

[0140] It should be noted that the annual cumulative grid-connected power PG and the annual cumulative power abandonment PA of the renewable energy hydrogen production and ammonia synthesis system should be within the specified range. The annual cumulative grid-connected power PG is always between 0 and the specified maximum value, and its calculation expression is:

[0141]

[0142] Where, η pg is the specified grid-connected rate.

[0143] The annual cumulative power abandonment PA may exceed the specified maximum value, and its calculation expression is:

[0144]

[0145] The annual cumulative power abandonment PA satisfies the following constraint relationship: PA / Q≤η pa . Where, η pa is the specified power abandonment rate.

[0146] Based on the above embodiments, S203 describes determining the amount of hydrogen released by the hydrogen storage subsystem within a set time period based on the output power, including: determining the hydrogen storage state of the hydrogen storage subsystem based on the output power; and determining the amount of hydrogen released by the hydrogen storage subsystem within a set time period based on the hydrogen storage state.

[0147] In this embodiment, it can be understood that before determining the amount of hydrogen released within a set time period of the hydrogen storage subsystem, it is necessary to determine the model corresponding to the hydrogen storage subsystem.

[0148] The formula describing the operating characteristics of the hydrogen storage subsystem is as follows:

[0149]

[0150] Among them, P HS The operating pressure of the hydrogen storage subsystem is expressed in MPa. and These are the minimum and maximum operating pressures of the hydrogen storage subsystem, respectively, in MPa; HS min and HS max These represent the minimum and maximum hydrogen storage capacities of the hydrogen storage subsystem, respectively, in kg.

[0151] Furthermore, the scale of the hydrogen storage subsystem, i.e., its maximum hydrogen storage capacity HS max (Unit: kg) is determined by the time D (unit: days) during which the hydrogen storage subsystem independently ensures the operation of the ammonia synthesis subsystem:

[0152]

[0153] After determining the model corresponding to the hydrogen storage subsystem, the hydrogen storage state of the hydrogen storage subsystem must first be determined based on the output power.

[0154] For example, the hydrogen storage state of the hydrogen storage subsystem is determined based on the daily output power of the wind-solar hybrid power generation system. The hydrogen storage state of the hydrogen storage subsystem includes three states: hydrogen storage state, hydrogen release state, and no hydrogen storage and no hydrogen release state.

[0155] Furthermore, the criteria for determining whether the hydrogen storage subsystem is in a hydrogen storage state on a given day can be expressed by the following formula:

[0156] GEN(t)>24×(P AMM max +P PEM max )+Pchin;

[0157] Where GEN(t) is the daily output power of the wind-solar hybrid power generation system; P AMMmax P is the maximum output power of the ammonia synthesis subsystem (including the air separation system); PEMmaxis the maximum output power of the electrolytic cell subsystem; Pchin is the storable electric energy of the battery energy storage subsystem, in units of kW, and the calculation formula is as follows:

[0158] Pchin=Min{B POW ,C BAT ×[SOC max -SOC[24×(t-1)+1]}.

[0159] It should be noted that when judging the hydrogen storage state of the hydrogen storage subsystem, the calculation formula of the operation load factor of the ammonia synthesis subsystem is as follows:

[0160]

[0161] Wherein, θ2(t) is the operation load factor of the ammonia synthesis subsystem on the day; θ2 max and θ2 min are the maximum operation load factor and the minimum operation load factor of the ammonia synthesis subsystem, respectively.

[0162] The basis for judging that the hydrogen storage state of the hydrogen storage subsystem on the day is hydrogen release state can be expressed by the following formula:

[0163]

[0164] Wherein, Pchout is the dischargeable power of the battery energy storage subsystem in the current state, in units of kW, and the calculation formula is as follows:

[0165] Pchout=Min{B POW ,C BAT ×[SOC[24×(t-1)+1]-SOC min ]}.

[0166] The basis for judging that the hydrogen storage state of the hydrogen storage subsystem on the day is not hydrogen storage and hydrogen release state can be expressed by the following formula:

[0167]

[0168] The embodiments of the present application can maximize the consumption of wind and light energy by determining the hydrogen storage state of the hydrogen storage subsystem according to the output power, avoid waste, and realize efficient utilization of renewable energy in the hydrogen synthesis ammonia system.

[0169] In some examples, after determining the hydrogen storage state of the hydrogen storage subsystem, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined according to the hydrogen storage state. In this case, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined according to the hydrogen storage state, including: if the hydrogen storage state is determined to be the hydrogen storage state, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined according to the storable electric energy of the battery energy storage subsystem, the storable hydrogen amount of the hydrogen storage subsystem, and the output power; if the hydrogen storage state is determined to be the hydrogen release state, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined according to the dischargeable electric energy of the battery energy storage subsystem, the releasable hydrogen amount of the hydrogen storage subsystem, and the output power; and if the hydrogen storage state is determined to be the non-hydrogen storage and non-hydrogen release state, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined to be 0.

[0170] For example, when the hydrogen storage state of the hydrogen storage subsystem on the current day is determined to be the hydrogen storage state, the value of the hydrogen release amount Flux(t) on the current day is negative, indicating the hydrogen storage process, and the calculation formula is as follows:

[0171]

[0172] wherein θ1 max and θ2 max respectively represent the maximum operation load coefficient of the electrolytic tank subsystem and the maximum operation load coefficient of the ammonia synthesis subsystem; Fluxin represents the storable hydrogen amount under the current state of the hydrogen storage subsystem, and the unit is kg, and the calculation formula is as follows:

[0173]

[0174] When the hydrogen storage state of the hydrogen storage subsystem on the current day is determined to be the hydrogen release state, at this time, the value of the hydrogen release amount Flux(t) on the current day is positive, indicating the hydrogen release process, and the calculation formula is as follows:

[0175]

[0176] wherein Fluxout represents the releasable hydrogen amount under the current state of the hydrogen storage subsystem, and the unit is kg, and the calculation formula is as follows:

[0177]

[0178] When the hydrogen storage state of the hydrogen storage subsystem on the current day is determined to be the non-hydrogen storage and non-hydrogen release state, at this time, the hydrogen release amount Flux(t) on the current day is 0.

[0179] By determining the daily hydrogen release amount of the hydrogen storage subsystem according to the hydrogen storage state, the daily hydrogen release amount of the hydrogen storage subsystem can be accurately determined, thereby laying a foundation for improving the energy utilization rate of the renewable energy electricity-to-hydrogen ammonia synthesis system.

[0180] Next, an example of how to use the scheduling method of the renewable energy electricity-to-hydrogen ammonia synthesis system provided by the embodiments of the present application will be described.Figure 3 A flowchart illustrating the scheduling method for a renewable energy-to-hydrogen-to-ammonia synthesis system provided in this application embodiment. Figure 2 .

[0181] like Figure 3 As shown, the method includes the following steps:

[0182] 1. Construct material and power consumption models for the ammonia synthesis process: Determine the capacity of the production unit under the planned ammonia synthesis output, that is, determine the capacity of the electrolytic cell subsystem and the ammonia synthesis subsystem under the planned ammonia synthesis output.

[0183] 2. Construct a wind-solar capacity matching model: Determine the construction scale of wind turbine generator sets and photovoltaic modules under the annual power demand and the hourly output.

[0184] 3. Construct models and constraints for each subsystem: Clarify the operational characteristics and constraints of each subsystem.

[0185] 4. Apply the optimized scheduling algorithm to demonstrate the operational logic between each subsystem.

[0186] 5. Construct a levelized cost model and use levelized cost as the optimization objective.

[0187] Since the adjustment cycle of the current ammonia synthesis subsystem's operating load factor is 24 hours, the scheduling algorithm mentioned in this application embodiment consists of a daily resolution control program and an hourly resolution control program. This algorithm can not only obtain the operating status of each subsystem based on known historical wind and solar power generation data, but also adjust the operating status of each subsystem in real time based on future wind and solar power generation data predicted from the gas phase during the actual operation of the renewable energy-to-hydrogen-to-ammonia synthesis system.

[0188] Specifically, first, the daily resolution control program is run to obtain the daily operating load factor of the ammonia synthesis subsystem and the daily hydrogen release of the hydrogen storage subsystem. Next, the time-resolution control program is run. This time-resolution control program is based on the hourly wind and solar power output (GEN(i)), the state of charge (SOC(i)) of the battery storage subsystem, and the daily total hydrogen release (Flux(t)) and tank pressure (P) of the hydrogen storage subsystem. HS (i) Determine the hourly operating power P of the electrolytic cell subsystem for each hour. PEM (i) Hourly operating power P of the ammonia synthesis subsystem AMM (i) Discharge power of battery energy storage subsystem Pch(i) Power of new energy grid connection P g (i) (Hourly operating power of the power grid subsystem).

[0189] Furthermore, taking a proposed 100,000-ton-per-year synthetic ammonia project in a certain region of central Xinjiang as an example, the technical solution described in the above embodiments will be explained.

[0190] Input consumption model and electricity consumption model parameters: W PEM = 38 kWh, W ASU = 0.23 kWh, W AMM = 0.38 kWh. Without considering the loss of hydrogen and nitrogen in the ammonia synthesis process, the annual power generation Q of the wind-solar complementary power generation system is calculated to be 7.28 x 108 kWh.

[0191] Set the basic operating parameters of each subsystem:

[0192] θ1 min = 0.2, θ1 max = 1.1;

[0193] θ2 min = 0.5; θ2 max = 1.0;

[0194] SOC min = 0.2, SOC max = 0.8, ε = 100%;

[0195]

[0196] Assign the size parameters of the above subsystems and solve in a loop to obtain a global optimal scheme that simultaneously satisfies the three conditions of grid access rate (20%), power abandonment rate (10%) and grid access rate (3%), as the best scheme of the present application.

[0197] The best scheme is: fb = 0.474, N = 5263, D = 1.053; annual ammonia production is 8.145 wt, power grid access rate is 19.63%, power abandonment rate is 0, and power grid access rate (i.e. purchasing power from the grid) is 0.99%; LCOA is 4538.2 yuan. Specifically, the expenditure and income information is shown in the following table:

[0198]

[0199] Further, in the optimal scheme, the power scheduling of the renewable energy electricity hydrogen synthesis ammonia system for the first 240 hours is as shown in Figure 4 Figure 4 is a schematic diagram of the power scheduling of the renewable energy electricity hydrogen synthesis ammonia system for the first 240 hours provided by the present application.

[0200] ​In summary, the embodiment of the present application provides an economic evaluation and optimization method of a renewable energy electricity-to-hydrogen ammonia synthesis system, so as to improve the energy utilization rate in the renewable energy electricity-to-hydrogen ammonia synthesis system, and optimize the capacity configuration of the key equipment, thereby improving the economy of producing green ammonia by using renewable energy.

[0201] Further, the method can accurately optimize the hourly scheduling of electric energy and hydrogen streams in the renewable energy electricity-to-hydrogen ammonia synthesis system, as well as the scale capacity of each subsystem, so as to realize the production of completely green ammonia with higher economy.

[0202] The following is an embodiment of the device of the present application, which can be used to execute the method embodiment of the present application. For details not disclosed in the device embodiment of the present application, please refer to the method embodiment of the present application.

[0203] Figure 5 The structure diagram of the scheduling device of the renewable energy electricity-to-hydrogen ammonia synthesis system provided by the embodiment of the present application is shown in FIG. 5, which comprises: Figure 5

[0204] The acquisition module 501 is configured to acquire a planned ammonia production of the renewable energy electricity-to-hydrogen ammonia synthesis system, wherein the renewable energy electricity-to-hydrogen ammonia synthesis system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolyzer subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem and a power grid subsystem.

[0205] The determination module 502 is configured to determine the output power of the wind-solar complementary power generation subsystem according to the planned ammonia production, and determine the hydrogen discharge amount of the hydrogen storage subsystem within a set time period based on the output power.

[0206] The determination module 502 is further configured to determine the running power per unit time of the electrolyzer subsystem and the ammonia synthesis subsystem within the set time period corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period, and determine the running power per unit time of the battery energy storage subsystem and the power grid subsystem within the set time period corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period and the running power per unit time of the electrolyzer subsystem within the set time period.

[0207] The control module 503 is configured to control the running state of the wind-solar complementary power generation subsystem according to the output power, and control the running state of the corresponding subsystem according to the running power per unit time within the set time period.

[0208] In a possible implementation, the determination module 502 is configured to:

[0209] determine the running load coefficient of the electrolyzer subsystem according to the hydrogen discharge amount within the set time period.​

[0210] determine the operation load coefficient of the ammonia synthesis subsystem according to the hydrogen release amount within the set time length;

[0211] determine the operation power per unit time length of the electrolyzer subsystem within the set time length matched with the hydrogen release amount within the set time length based on the operation load coefficient of the electrolyzer subsystem;

[0212] determine the operation power per unit time length of the ammonia synthesis subsystem within the set time length matched with the hydrogen release amount within the set time length based on the operation load coefficient of the ammonia synthesis subsystem.

[0213] In a possible implementation, the determining module 502 is configured to:

[0214] determine whether the hydrogen release amount within the set time length meets a preset correction condition;

[0215] when the hydrogen release amount within the set time length meets the preset correction condition, update the operation power per unit time length of the electrolyzer subsystem within the set time length matched with the hydrogen release amount within the set time length based on the state parameter of the electrolyzer subsystem;

[0216] determine the operation power per unit time length of the battery energy storage subsystem within the set time length matched with the hydrogen release amount within the set time length according to the operation power per unit time length of the electrolyzer subsystem within the set time length;

[0217] determine the operation power per unit time length of the power grid subsystem within the set time length matched with the hydrogen release amount within the set time length based on the operation power per unit time length of the battery energy storage subsystem within the set time length.

[0218] In a possible implementation, the determining module 502 is configured to:

[0219] determine the operation power per unit time length of the power grid subsystem within the set time length matched with the hydrogen release amount within the set time length according to the operation power per unit time length of the battery energy storage subsystem within the set time length based on the law of conservation of energy.

[0220] In a possible implementation, the scheduling device for renewable energy electricity-to-hydrogen ammonia synthesis further includes an optimization module (not shown), and the optimization module is specifically configured to:

[0221] optimize the output power, the operation power per unit time length of the battery energy storage subsystem within the set time length, and the operation power per unit time length of the power grid subsystem within the set time length, with the optimization target being minimization of the operation cost of the renewable energy electricity-to-hydrogen ammonia synthesis system, wherein the output power reflects the capacity ratio relationship of the wind-solar complementary power generation subsystem, and the operation power per unit time length reflects the scale ratio relationship of the corresponding subsystem.

[0222] In a possible implementation, the determining module 502 is specifically configured to:

[0223] determine a hydrogen storage state of the hydrogen storage subsystem based on the output power;

[0224] determine a hydrogen discharge amount of the hydrogen storage subsystem within a set time period according to the hydrogen storage state.

[0225] In a possible implementation, the determining module 502 is specifically configured to:

[0226] if the hydrogen storage state is determined as the hydrogen storage state, determine the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the storable electric energy of the battery energy storage subsystem, the storable hydrogen amount of the hydrogen storage subsystem, and the output power;

[0227] if the hydrogen storage state is determined as the hydrogen discharge state, determine the hydrogen discharge amount of the hydrogen storage subsystem within the set time period according to the dischargeable electric energy of the battery energy storage subsystem, the dischargeable hydrogen amount of the hydrogen storage subsystem, and the output power;

[0228] if the hydrogen storage state is determined as the no hydrogen storage and no hydrogen discharge state, the hydrogen discharge amount of the hydrogen storage subsystem within the set time period is determined as 0.

[0229] In a possible implementation, the determining module 502 is specifically configured to:

[0230] determine a power generation amount of the wind-solar complementary power generation subsystem according to the synthetic ammonia planning production amount;

[0231] determine a capacity of a photovoltaic module and a capacity of a wind turbine generator in the wind-solar complementary power generation subsystem based on the power generation amount;

[0232] determine an output power of the wind-solar complementary power generation subsystem according to the capacity of the photovoltaic module and the capacity of the wind turbine generator.

[0233] The scheduling device for renewable energy electricity-to-hydrogen synthetic ammonia provided in this embodiment can perform the method provided in the method embodiment, and has similar implementation principles and technical effects, which will not be described here again.

[0234] Figure 6 FIG. 1 is a structural schematic diagram of a scheduling system for renewable energy electricity-to-hydrogen synthetic ammonia provided in this embodiment. Figure 6 As shown in the figure, the scheduling system includes a renewable energy electricity-to-hydrogen synthetic ammonia system 601 and a controller 602, and the renewable energy electricity-to-hydrogen synthetic ammonia system includes a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolytic cell subsystem, a synthetic ammonia subsystem, a battery energy storage subsystem, and a power grid subsystem, which are connected with the controller respectively.

[0235] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. For example, a processing module can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, and its functions can be called and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0236] For example, these modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). As another example, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together as a System-On-a-Chip (SOC).

[0237] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 7 As shown, the electronic device 700 provided in this application embodiment may include: a processor 701, and a memory 702 communicatively connected to the processor, wherein:

[0238] The memory stores instructions that the computer executes;

[0239] The processor executes computer execution instructions stored in memory to implement the method described in the foregoing method embodiments.

[0240] It should be appreciated that the processor 701 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), or the like. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the application can be directly embodied as hardware processor execution, or executed by a combination of hardware and software modules in the processor. The memory 702 can include a high-speed random access memory (RAM), and can also include a non-volatile memory NVM (non-volatile memory), such as at least one disk memory, and can also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0241] Optionally, the electronic device 700 can further include a communication interface 703. In a specific implementation, if the communication interface 703, the memory 702 and the processor 701 are independently implemented, the communication interface 703, the memory 702 and the processor 701 can be connected to each other through a bus and complete communication between each other. The bus can be an industry standard architecture (ISA) bus, a peripheral component (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0242] Optionally, in a specific implementation, if the communication interface 703, the memory 702 and the processor 701 are integrated on a chip, the communication interface 703, the memory 702 and the processor 701 can complete communication through an internal interface.

[0243] The embodiment of the application further provides a computer readable storage medium, the computer readable storage medium stores computer execution instructions, and the computer execution instructions are used to implement the method described in any of the foregoing embodiments when executed.

[0244] It is understood that the computer-readable storage medium can be realized by any type of volatile or nonvolatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0245] An exemplary computer-readable storage medium is coupled to the processor such that the processor can read information from the computer-readable storage medium and can write information to the computer-readable storage medium. Of course, the computer-readable storage medium can be a part of the processor. The processor and the computer-readable storage medium can be located in an ASIC. Of course, the processor and the computer-readable storage medium can exist as discrete components.

[0246] The integrated modules in the form of software function modules described above can be stored in a computer-readable storage medium. The software function modules described above stored in a computer-readable storage medium include a plurality of instructions for causing an electronic device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute part of the steps of the methods described in various embodiments of the present application.

[0247] The embodiments of the present application also provide a computer program product, which includes a computer program that is executed to implement the method described in any of the preceding embodiments.

[0248] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the described actions, because according to the present application, certain steps can be performed in other order or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0249] It should be further understood that, while the steps of the methods herein can be shown as occurring in series in the flow charts, these steps can not necessarily occur in the order illustrated by the arrows. Unless specifically stated, the order of steps can not be strictly sequential, and these steps can be performed in other orders. Moreover, at least some of the steps in the flow charts can include multiple sub-steps or stages, which can not necessarily be performed at the same time, and which can be performed in other orders, in parallel with, or alternating with, at least some of the other steps or sub-steps or stages.

[0250] In the above embodiments, the description of each embodiment focuses on different aspects, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments. Each technical feature of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application

[0251] Other embodiments of this application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0252] It should be understood that the application is not limited to the precise construction that has been described above and shown in the accompanying drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the appended claims.

Claims

1. A scheduling method for a renewable energy-to-hydrogen-to-ammonia synthesis system, characterized in that, The method comprises the following steps: acquiring a planned ammonia synthesis output required by a renewable energy electricity hydrogen synthesis ammonia system, wherein the renewable energy electricity hydrogen synthesis ammonia system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolyzer subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem, and a power grid subsystem; determining an output power of the wind-solar complementary power generation subsystem according to the planned ammonia synthesis output; determining a hydrogen discharge amount within a set time period of the hydrogen storage subsystem based on the output power; determining a running power per unit time within a set time period of the electrolyzer subsystem and the ammonia synthesis subsystem respectively corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period; determining a running power per unit time within a set time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period and the running power per unit time within a set time period of the electrolyzer subsystem; controlling a running state of the wind-solar complementary power generation subsystem according to the output power, and controlling a running state of a corresponding subsystem according to the running power per unit time within a set time period.

2. The scheduling method of claim 1, wherein, The method of determining the running power per unit time within a set time period of the electrolyzer subsystem and the ammonia synthesis subsystem respectively corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period comprises the following steps: determining a running load coefficient of the electrolyzer subsystem according to the hydrogen discharge amount within the set time period; determining a running load coefficient of the ammonia synthesis subsystem according to the hydrogen discharge amount within the set time period; determining the running power per unit time within a set time period of the electrolyzer subsystem corresponding to the hydrogen discharge amount within the set time period based on the running load coefficient of the electrolyzer subsystem; determining the running power per unit time within a set time period of the ammonia synthesis subsystem corresponding to the hydrogen discharge amount within the set time period based on the running load coefficient of the ammonia synthesis subsystem.

3. The scheduling method of claim 1, wherein, The method of determining the running power per unit time within a set time period of the battery energy storage subsystem and the power grid subsystem respectively corresponding to the hydrogen discharge amount within the set time period according to the hydrogen discharge amount within the set time period and the running power per unit time within a set time period of the electrolyzer subsystem comprises the following steps: judging whether the hydrogen discharge amount within the set time period meets a preset correction condition; when the hydrogen discharge amount within the set time period meets the preset correction condition, updating the running power per unit time within a set time period of the electrolyzer subsystem corresponding to the hydrogen discharge amount within the set time period based on a state parameter of the electrolyzer subsystem; determining the running power per unit time within a set time period of the battery energy storage subsystem corresponding to the hydrogen discharge amount within the set time period according to the running power per unit time within a set time period of the electrolyzer subsystem; determining the running power per unit time within a set time period of the power grid subsystem corresponding to the hydrogen discharge amount within the set time period based on the running power per unit time within a set time period of the battery energy storage subsystem.

4. The scheduling method of claim 3, wherein, determining, based on the operation power per unit time of the battery energy storage subsystem within the set time period, the operation power per unit time of the power grid subsystem within the set time period that matches the hydrogen release amount within the set time period, comprises: determining, based on the operation power per unit time of the battery energy storage subsystem within the set time period, the operation power per unit time of the power grid subsystem within the set time period that matches the hydrogen release amount within the set time period according to the law of conservation of energy.

5. The scheduling method of any one of claims 1 to 4, characterized in that, Further comprising: optimizing the output power, the operation power per unit time of the battery energy storage subsystem within the set time period, and the operation power per unit time of the hydrogen storage subsystem within the set time period, with the optimization objective being to minimize the operation cost of the renewable energy electricity-to-hydrogen ammonia synthesis system, wherein the output power reflects the capacity ratio relationship of the wind-solar complementary power generation subsystem, and the operation power per unit time reflects the scale ratio relationship of the corresponding subsystem.

6. The scheduling method of any one of claims 1 to 4, characterized in that, The operation power per unit time of the hydrogen storage subsystem within the set time period is determined based on the output power, comprising: determining the hydrogen storage state of the hydrogen storage subsystem based on the output power; determining the hydrogen release amount of the hydrogen storage subsystem within the set time period according to the hydrogen storage state.

7. The scheduling method of claim 6, wherein, The hydrogen release amount of the hydrogen storage subsystem within the set time period is determined according to the hydrogen storage state, comprising: if the hydrogen storage state is determined to be a hydrogen storage state, determining the hydrogen release amount of the hydrogen storage subsystem within the set time period according to the storable electric energy of the battery energy storage subsystem, the storable hydrogen amount of the hydrogen storage subsystem, and the output power; if the hydrogen storage state is determined to be a hydrogen release state, determining the hydrogen release amount of the hydrogen storage subsystem within the set time period according to the dischargeable amount of the battery energy storage subsystem, the hydrogen release amount of the hydrogen storage subsystem, and the output power; if the hydrogen storage state is determined to be a non-hydrogen storage and non-hydrogen release state, the hydrogen release amount of the hydrogen storage subsystem within the set time period is determined to be 0.

8. The scheduling method of any one of claims 1-4, wherein, The output power of the wind-solar complementary power generation subsystem is determined according to the ammonia planning production, comprising: determining the power generation amount of the wind-solar complementary power generation subsystem according to the ammonia planning production; determining the capacity of the photovoltaic component and the capacity of the wind turbine generator in the wind-solar complementary power generation subsystem based on the power generation amount; determining the output power of the wind-solar complementary power generation subsystem according to the capacity of the photovoltaic component and the capacity of the wind turbine generator.

9. A scheduling system for a renewable energy-to-hydrogen-to-ammonia synthesis system, characterized in that, The scheduling system comprises: a renewable energy electricity-to-hydrogen ammonia synthesis system and a controller; The renewable energy electricity-to-hydrogen ammonia synthesis system comprises a wind-solar complementary power generation subsystem, a hydrogen storage subsystem, an electrolytic cell subsystem, an ammonia synthesis subsystem, a battery energy storage subsystem, and a power grid subsystem, which are respectively connected with the controller; The controller is used to execute the scheduling method as claimed in any one of claims 1 to 8.

10. An electronic device, comprising: Comprising: a memory and a processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory, so that the processor executes the scheduling method as claimed in any one of claims 1 to 8.

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