Wind and light hydrogen production and ammonia synthesis system, configuration method thereof and electronic equipment

Abstract

The invention provides a wind-solar hydrogen production and ammonia synthesis system and a configuration method thereof, electronic equipment and a storage medium. The wind and light hydrogen production and ammonia synthesis system comprises a wind and light hydrogen production subsystem, an ammonia synthesis subsystem and a coordination controller which are relatively independent, the ammonia synthesis subsystem comprises a hydrogen storage tank, the hydrogen storage tank is connected with the wind and light hydrogen production subsystem, and the configuration method of the wind and light hydrogen production and ammonia synthesis system can be executed by the coordination controller. The configuration method of the wind-solar hydrogen production ammonia synthesis system comprises the following steps: firstly, determining capacity configuration parameters of a wind-solar hydrogen production subsystem by taking the minimum leveling hydrogen production cost as a target; and determining the capacity configuration parameters of the ammonia synthesis subsystem based on the capacity configuration parameters of the wind-solar hydrogen production subsystem by taking the maximization of the wind-solar absorption rate, the minimization of the total cost of the system and the minimization of the operation cost of the system as targets. The wind and light hydrogen production subsystem and the ammonia synthesis subsystem are subjected to two-stage decoupling type system configuration, and stable operation of the ammonia synthesis process is ensured while efficient utilization of green electricity is achieved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of the integration of renewable energy and chemical engineering, and particularly to a wind-solar hydrogen production and ammonia synthesis system, its configuration method, and an electronic device. Background Art

[0002] Currently, there are strict requirements for the cleanliness of the raw material hydrogen for green ammonia production, that is, the hydrogen used for ammonia synthesis must completely rely on renewable energy sources such as solar energy and wind energy, that is, it must be completely hydrogen production from green electricity.

[0003] However, the inherent volatility and intermittency of renewable energy power generation such as solar energy and wind energy pose great challenges to the continuous and stable supply of hydrogen demand in the ammonia synthesis process. In other words, how to dispatch each part of the wind-solar hydrogen production and ammonia synthesis system to achieve completely green electricity hydrogen production at the lowest cost, while effectively suppressing the fluctuation of hydrogen demand in the ammonia synthesis process, ensuring the stable operation of the process and reducing the ammonia production cost, has become an urgent problem to be solved currently. Summary of the Invention

[0004] In view of this, the present disclosure provides a wind-solar hydrogen production and ammonia synthesis system, its configuration method, and an electronic device.

[0005] According to a first aspect of the present disclosure, there is provided a configuration method for a wind-solar hydrogen production and ammonia synthesis system. The wind-solar hydrogen production and ammonia synthesis system includes a wind-solar hydrogen production subsystem, an ammonia synthesis subsystem, and a coordination controller. The coordination controller is respectively connected to the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem. The ammonia synthesis subsystem includes a hydrogen storage tank, and the hydrogen storage tank is connected to the wind-solar hydrogen production subsystem. The configuration method of the wind-solar hydrogen production and ammonia synthesis system is executed by the coordination controller;

[0006] The configuration method of the wind-solar hydrogen production and ammonia synthesis system includes:

[0007] Taking multiple predetermined operating modes of the wind-solar hydrogen production subsystem as constraint conditions and minimizing the levelized hydrogen production cost as the objective, determine the capacity configuration parameters of the wind-solar hydrogen production subsystem;

[0008] Call a capacity optimization model and an energy scheduling model to determine the capacity configuration parameters of the ammonia synthesis subsystem based on the capacity configuration parameters of the wind-solar hydrogen production subsystem. The capacity optimization model aims to maximize the wind-solar energy consumption rate and minimize the total system cost, and the energy scheduling model aims to minimize the system operation cost.

[0009] In some embodiments of the first aspect of the present disclosure, the wind-solar hydrogen production subsystem includes a wind-solar power generation unit, a hydrogen production unit, and an electrochemical energy storage unit; the plurality of predetermined operating modes are related to the available power of the wind-solar power generation unit, the current power of the electrochemical energy storage unit, and the operating performance parameters of each unit in the wind-solar hydrogen production subsystem.

[0010] In some embodiments of the first aspect of the present disclosure, the plurality of predetermined operating modes include an overload protection and energy storage priority mode and an energy storage replenishment and step-by-step shutdown mode. The overload protection and energy storage priority mode includes an energy storage priority operation mode, an overload mode, and an overload protection mode. The energy storage replenishment and step-by-step shutdown mode includes the following modes: the hydrogen production unit operates at the minimum operating power, the hydrogen production unit enters the hot standby state, the hydrogen production unit enters the cold start state, and the hydrogen production unit enters the shutdown state;

[0011] The determination condition for the energy storage priority operation mode is P_WIND + P_PV > P_H2_rated & cap_bat < Cap_bat_max;

[0012] The determination condition for the overload mode is P_WIND + P_PV > P_H2_rated & P_H2 = P_H2_rated & cap_bat = Cap_bat_max & t ≤ T_overload;

[0013] The determination condition for the overload protection mode is P_WIND + P_PV > P_H2_rated & P_H2 > P_H2_rated & cap_bat = Cap_bat_max & t > T_overload;

[0014] The determination condition for the hydrogen production unit to operate at the minimum operating power is P_WIND + P_PV + min((P_H2_min - (P_WIND + P_PV)), P_bat_dis_max) ≥ P_H2_min;

[0015] The determination condition for the hydrogen production unit to enter the hot standby state is P_H2_hot ≤ P_WIND + P_PV < P_H2_min;

[0016] The determination condition for the hydrogen production unit to enter the cold start state is P_H2_cold ≤ P_WIND + P_PV < P_H2_hot;

[0017] The determination condition for the hydrogen production unit to enter the shutdown state is: P_WIND + P_PV < P_H2_cold;

[0018] Among them, P_WIND represents the available power of the wind power generation unit, P_PV represents the available power of the photovoltaic power generation unit, P_H2_rated represents the rated power of the hydrogen production unit, cap_bat represents the current power of the electrochemical energy storage unit, Cap_bat_max represents the maximum power of the electrochemical energy storage unit, P_H2 represents the operating power of the hydrogen production unit, T_overload represents the overload time threshold of the hydrogen production unit, P_H2_min represents the minimum operating power of the hydrogen production unit, P_bat_dis_max represents the maximum discharge power of the electrochemical energy storage unit, and P_H2_cold represents the cold start power threshold of the hydrogen production unit.

[0019] In some embodiments of the first aspect of the present disclosure, the capacity configuration parameters of the wind-solar-hydrogen production subsystem include: the capacity configuration parameters of the hydrogen production unit and the capacity configuration parameters of the electrochemical energy storage unit;

[0020] Determining the capacity configuration parameters of the wind-solar-hydrogen production subsystem with the multiple predetermined operating modes of the wind-solar-hydrogen production subsystem as constraints and the minimumized levelized hydrogen production cost as the objective includes:

[0021] Constructing a levelized hydrogen production cost objective function, which is the ratio of the hydrogen production cost to the hydrogen production volume of the wind-solar-hydrogen production subsystem over the entire life cycle;

[0022] Using the levelized hydrogen production cost objective function as the fitness function to solve by the particle swarm optimization algorithm to obtain the capacity configuration parameters of the hydrogen production unit and the capacity configuration parameters of the electrochemical energy storage unit when the hydrogen production cost is minimized, and the fitness function is constrained by the multiple predetermined operating modes of the wind-solar-hydrogen production subsystem.

[0023] In some embodiments of the first aspect of the present disclosure, the capacity optimization model is the NSGA-II model, which aims to maximize the wind-solar accommodation rate and minimize the total system cost, and takes the capacity of the hydrogen storage tank in the synthetic ammonia subsystem as the decision variable; the energy scheduling model is the MIP model, which aims to minimize the system operation cost.

[0024] In some embodiments of the first aspect of the present disclosure, calling the capacity optimization model and the energy scheduling model to determine the capacity configuration parameters of the synthetic ammonia subsystem based on the capacity configuration parameters of the wind-solar-hydrogen production subsystem includes:

[0025] Calling the NSGA-II model to obtain the capacity configuration parameters of the synthetic ammonia subsystem in the current period based on the capacity configuration parameters of the wind-solar-hydrogen production subsystem;

[0026] Call the MIP model to obtain the operation control scheme of the wind-solar hydrogen production ammonia synthesis system for each time series within the current period based on the capacity configuration parameters of the wind-solar hydrogen production subsystem, and based on the operation control scheme of the wind-solar hydrogen production ammonia synthesis system within the current period obtained by the MIP model and the capacity configuration parameters of the wind-solar hydrogen subsystem, call the NSGA-II model to update the capacity configuration parameters of the ammonia synthesis subsystem, and iterate until the preset convergence condition is met.

[0027] In some embodiments of the first aspect of the present disclosure, the constraint conditions of the energy scheduling model include the operation constraints of the wind-solar hydrogen production subsystem, the operation constraints of the power grid, and the operation constraints of the ammonia synthesis subsystem;

[0028] The operation constraints of the wind-solar hydrogen production subsystem are: the operation of the wind-solar hydrogen production subsystem satisfies that the sum of the actual power generation power and the abandoned power supplied to the ammonia synthesis subsystem is equal to the theoretical power generation power that the wind-solar hydrogen production subsystem can supply to the ammonia synthesis subsystem; and / or,

[0029] The operation constraints of the power grid are: the power grid operation satisfies that the annual power on-grid is lower than the first predetermined ratio of the annual power generation, the abandoned wind power is lower than the second predetermined ratio of the annual theoretical power generation, and the power purchase power and the power sale power are kept within the transmission system capacity: and / or,

[0030] The operation constraints of the ammonia synthesis subsystem include the operation constraints of the hydrogen storage tank, the operation constraints of the air separation nitrogen production unit, and the operation constraints of the ammonia synthesis unit. The operation of the hydrogen storage tank satisfies that the hydrogen storage amount of the hydrogen storage tank is always between the maximum hydrogen storage amount and the minimum hydrogen storage amount of the hydrogen storage tank, the change constraint relationship between the current hydrogen storage amount and the hydrogen storage amount at the previous scheduling moment is the same as the starting and ending hydrogen storage amounts, and the hydrogen storage rate and the hydrogen release rate are limited within the set range. The operation of the air separation nitrogen production unit and the operation of the ammonia synthesis unit satisfy that they are always kept between the minimum operation power and the maximum operation power, and the change constraint relationship between the current operation power and the operation power at the previous scheduling moment.

[0031] In some embodiments of the first aspect of the present disclosure, the method further includes: obtaining the wind-solar power consumption rate and the system total cost corresponding to the capacity configuration parameters of the ammonia synthesis subsystem; and / or, calculating the unit ammonia production cost based on the capacity configuration parameters of the wind-solar hydrogen subsystem and the capacity configuration parameters of the ammonia synthesis subsystem.

[0032] According to the second aspect of the present disclosure, there is provided an electronic device, including: one or more processors and a memory storing a program, the program including instructions that, when executed by the processor, cause the processor to execute the above method.

[0033] According to a third aspect of the present disclosure, a wind-solar hydrogen production and ammonia synthesis system is provided. The wind-solar hydrogen production and ammonia synthesis system includes a wind-solar hydrogen production subsystem, an ammonia synthesis subsystem, and a coordination controller. The coordination controller is respectively connected to the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem. The ammonia synthesis subsystem includes a hydrogen storage tank. The ammonia synthesis subsystem is connected to the wind-solar hydrogen production subsystem through the hydrogen storage tank. The coordination controller is used to execute the above method.

[0034] As can be seen from the above technical solutions, the embodiments of the present disclosure propose a two-stage decoupled system configuration method, that is, decoupling the complex wind-solar hydrogen production and ammonia synthesis system into two relatively independent subsystems, namely the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem. For the wind-solar hydrogen production subsystem, the capacity configuration is carried out with the goal of minimizing the levelized hydrogen production cost. For the ammonia synthesis subsystem, the capacity configuration is carried out with the goals of minimizing the wind-solar energy consumption rate, minimizing the total system cost, and minimizing the system operation cost. This two-stage decoupled configuration method not only simplifies the problem complexity, enables the wind-solar hydrogen production and ammonia synthesis system to achieve fully green hydrogen production at the lowest cost, makes more effective use of renewable energy, reduces energy waste, and improves efficiency at the same time, but also can effectively suppress the fluctuation of the hydrogen demand of the ammonia synthesis process, ensure the stable operation of the ammonia production process and reduce the ammonia production cost, which has important scientific and technological innovation significance and wide engineering application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0036] Figure 1 It is a schematic structural diagram of the wind-solar hydrogen production and ammonia synthesis system provided by the embodiments of the present disclosure;

[0037] Figure 2 It is a schematic flow diagram of the configuration method of the wind-solar hydrogen production and ammonia synthesis system provided by the embodiments of the present disclosure;

[0038] Figure 3 It is a schematic flow diagram of determining the capacity configuration parameters of the wind-solar hydrogen production subsystem involved in the embodiments of the present disclosure;

[0039] Figure 4 It is an example diagram of the constraint conditions of the energy scheduling model involved in the embodiments of the present disclosure;

[0040] Figure 5 It is a schematic flow diagram of determining the capacity configuration parameters of the ammonia synthesis subsystem involved in the embodiments of the present disclosure;

[0041] Figure 6 Schematic structural diagram of the configuration device of the wind-solar hydrogen production and ammonia synthesis system provided by the embodiments of the present disclosure;

[0042] Figure 7 Schematic block diagram of the electronic device provided by the embodiments of the present disclosure. Detailed implementation manners

[0043] Next, the technical solutions in the embodiments of the present disclosure will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0044] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit the present disclosure. The singular forms "a", "the" and "said" used in the embodiments of the present disclosure and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0045] Depending on the context, words such as "if" and "when" used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detecting (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)".

[0046] Term explanation:

[0047] Green power hydrogen production: Using renewable resources such as solar energy and wind energy to produce hydrogen.

[0048] Overload time threshold of the hydrogen production system: Refers to the maximum time limit for the hydrogen production system to operate safely and stably when it operates at a power exceeding the rated power.

[0049] Total system cost: The total cost of the wind-solar hydrogen production and ammonia synthesis system.

[0050] System operation cost: The operation cost of the wind-solar hydrogen production and ammonia synthesis system.

[0051] Figure 1 The structural diagram of the wind-solar hydrogen production and ammonia synthesis system 100 provided by the embodiments of the present disclosure is shown. Refer to Figure 1 , the wind-solar hydrogen production and ammonia synthesis system 100 of the embodiments of the present disclosure may include the following three relatively independent subsystems: a wind-solar hydrogen production subsystem 110, an ammonia synthesis subsystem 120, and a coordination controller 130.

[0052] The coordination controller 130 is respectively connected to each unit in the wind-solar hydrogen production subsystem 110 and the ammonia synthesis subsystem 120, and is used to execute the following configuration method of the wind-solar hydrogen production ammonia synthesis system to schedule the wind-solar hydrogen production subsystem 110 and the ammonia synthesis subsystem 120 to achieve ammonia synthesis on the premise of completely green power hydrogen production, so that the wind-solar hydrogen production ammonia synthesis system 100 realizes completely green power hydrogen production at the lowest cost, while effectively suppressing the fluctuation of the hydrogen demand of the ammonia synthesis process, ensuring the stable operation of the process and reducing the ammonia production cost.

[0053] The wind-solar hydrogen production subsystem 110 may include a wind-solar power generation unit 111, a hydrogen production unit 112, and an electrochemical energy storage unit 113. The wind-solar power generation unit 111 is respectively connected to the hydrogen production unit 112 and the electrochemical energy storage unit 113. The hydrogen production unit 112 is respectively connected to the wind-solar power generation unit 111 and the electrochemical unit. The electrochemical energy storage unit 113 is respectively connected to the wind-solar power generation unit 111 and the hydrogen production unit 112.

[0054] Specifically, the wind-solar power generation unit 111 can be used to generate electricity using renewable resources such as wind energy and solar energy to provide electrical energy for other parts in the wind-solar hydrogen production ammonia synthesis system 100 (for example, the hydrogen production unit 112, the ammonia synthesis unit 122 in the ammonia synthesis subsystem 120, the air separation nitrogen production unit 123, etc.) and store the excess electrical energy through the electrochemical energy storage unit 113. Exemplarily, the wind-solar power generation unit 111 may include: a wind power generation unit, a solar power generation unit, a photovoltaic power generation unit, and / or other similar power generation units.

[0055] The hydrogen production unit 112 is used to prepare hydrogen using the electrical energy provided by the wind-solar power generation unit 111 and / or the electrochemical energy storage unit 113 and send it to the hydrogen storage tank 121 in the ammonia synthesis subsystem 120, so that the ammonia synthesis subsystem 120 can use the hydrogen in the hydrogen storage tank 121 to synthesize ammonia.

[0056] The electrochemical energy storage unit 113 is used to realize the mutual conversion of electrical energy and chemical energy through electrochemical reactions to store the excess electrical energy generated by the wind-solar power generation unit 111 and provide electrical energy to other parts in the wind-solar hydrogen production ammonia synthesis system 100 (for example, the hydrogen production unit 112, the ammonia synthesis subsystem 120, etc.) when needed, and has the advantages of flexible deployment, fast response, and high energy density.

[0057] The ammonia synthesis subsystem 120 may include: a hydrogen storage tank 121, an ammonia synthesis unit 122, and an air separation nitrogen production unit 123. The hydrogen storage tank 121 is respectively connected to the wind-solar hydrogen production subsystem 110, the ammonia synthesis unit 122, and the air separation nitrogen production unit 123. The ammonia synthesis unit 122 is respectively connected to the hydrogen storage tank 121 and the air separation nitrogen production unit 123. Among them, the hydrogen storage tank 121 can be used to store the hydrogen produced by the hydrogen production unit 112 in the wind-solar hydrogen production subsystem 110. The air separation nitrogen production unit 123 is used to produce nitrogen using air. The ammonia synthesis unit 122 can be used to synthesize ammonia using the hydrogen in the hydrogen storage tank 121 and the nitrogen produced by the air separation nitrogen production unit 123.

[0058] Further, the ammonia synthesis subsystem 120 may further include: a power grid unit, which is used to supply electric energy to various parts in the ammonia synthesis subsystem 120 (such as the ammonia synthesis unit 122, the air separation nitrogen production unit 123, etc.).

[0059] The electric energy required by various parts in the ammonia synthesis subsystem 120 (such as the ammonia synthesis unit 122, the air separation nitrogen production unit 123, etc.) comes from the power grid unit, the wind-solar power generation unit 111 and the electrochemical energy storage unit 113 in the wind-solar hydrogen production subsystem 110.

[0060] It should be noted that the structure of the wind-solar hydrogen production ammonia synthesis system 100 is not limited to the above Figure 1 form, and other any applicable forms can also be adopted. For the specific structures of the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem in the wind-solar hydrogen production ammonia synthesis system 100, the embodiments of the present disclosure do not make limitations.

[0061] Figure 2 The flowchart of the configuration method of the wind-solar hydrogen production ammonia synthesis system 100 provided by the embodiments of the present disclosure is shown. This configuration method can be executed by the coordinated control 130 in the wind-solar hydrogen production ammonia synthesis system 100. Refer to Figure 2 In the embodiments of the present disclosure, the configuration method of the wind-solar hydrogen production ammonia synthesis system 100 may include:

[0062] Step 201: Determine the capacity configuration parameters of the wind-solar hydrogen production subsystem 110 with the multiple predetermined operating modes of the wind-solar hydrogen production subsystem 110 as the constraint conditions and the minimum levelized hydrogen production cost as the goal.

[0063] Step 202: Call the capacity optimization model and the energy scheduling model to determine the capacity configuration parameters of the ammonia synthesis subsystem 120 based on the capacity configuration parameters of the wind-solar hydrogen production subsystem 110. The capacity optimization model aims to maximize the wind-solar energy consumption rate and minimize the total system cost, and the energy scheduling model aims to minimize the system operation cost.

[0064] Accordingly, the embodiments of the present disclosure achieve the capacity configuration of the wind-solar hydrogen production and ammonia synthesis system 100 through a two-stage decoupled system configuration method. This two-stage decoupled system configuration method can not only achieve fully green power hydrogen production with minimized hydrogen production cost, but also maximize the wind-solar power consumption rate, minimize the total system cost, and minimize the system operation cost. It is a two-stage decoupled system capacity configuration that can respond to the dynamic demand of ammonia synthesis, take into account the grid operation constraints and the green power consumption ratio, and can effectively suppress the fluctuation of the hydrogen demand of the ammonia synthesis process at the lowest cost while achieving fully green power hydrogen production, ensuring the stable operation of the ammonia production process and reducing the ammonia production cost.

[0065] In step 201, the multiple predetermined operation modes are related to the available power of the wind-solar power generation unit 111 in the wind-solar hydrogen production subsystem 110, the current electricity quantity (cap_bat) of the electrochemical energy storage unit 113, and the operation performance parameters of each unit in the wind-solar hydrogen production subsystem 110.

[0066] For example, if the wind-solar power generation unit 111 includes a wind power generation unit and a photovoltaic power generation unit, the operation power of the wind-solar power generation unit 111 can be the sum of the operation power (P_WIND) of the wind power generation unit and the operation power (P_PV) of the photovoltaic power generation unit within a certain period (for example, 8760 hours throughout the year).

[0067] The operation performance parameters of each unit in the wind-solar hydrogen production subsystem 110 may include, but are not limited to, one or more of the following: the minimum operation power (P_H2_min) of the hydrogen production unit 112, the maximum operation power (P_H2_max) of the hydrogen production unit 112, the overload time threshold (T_overload) of the hydrogen production unit 112, the rated power (P_H2_rated) of the hydrogen production unit 112, the operation power (P_H2) of the hydrogen production unit 112, the status (P_H2_status) of the hydrogen production unit 112, the hot standby power threshold (P_H2_hot) of the hydrogen production unit 112, the cold start power threshold (P_H2_cold) of the hydrogen production unit 112, the rated capacity (Cap_bat_rated) of the electrochemical energy storage unit 113, the maximum electricity quantity (Cap_bat_max) of the electrochemical energy storage unit 113, the minimum electricity quantity status (Cap_bat_min) of the electrochemical energy storage unit 113, and the maximum discharge power (P_bat_dis_max) of the electrochemical energy storage unit 113.

[0068] In some embodiments, the multiple predetermined operation modes may include, but are not limited to: a fluctuating operation mode, an overload protection and energy storage priority mode, and an energy storage replenishment and step-by-step shutdown mode.

[0069] In the fluctuating operation mode, the wind-solar hydrogen production subsystem 110 operates at the actually received wind-solar power generation, and the wind-solar power generation is between the minimum operating power and the rated power of the hydrogen production unit 112. That is, the wind-solar power generation is between P_H2_min and P_H2_rated, and the wind-solar hydrogen production subsystem 110 operates in the fluctuating operation mode, and the output power P_H2 of the hydrogen production unit 112 satisfies the following formula (1).

[0070] P_H2 = min(max((P_WIND + P_PV), P_H2_min), P_H2_rated) (1)

[0071] When the wind-solar power generation exceeds the rated power of the hydrogen production unit 112, the overload protection and energy storage priority mode is executed. The overload protection and energy storage priority mode includes the energy storage priority operation mode, the overload mode, and the overload protection mode. In the overload protection and energy storage priority mode, first, the hydrogen production unit 112 operates at the rated power, and the energy storage priority operation mode is executed. The wind-solar power generation exceeding the rated power of the hydrogen production unit 112 is allocated to the electrochemical energy storage unit 113 for storage. If the wind-solar power generation is greater than the rated power of the electrolyzer operation and the electrochemical energy storage unit 113 is full (for example, when the battery is fully charged), the hydrogen production unit 112 operates in the overload mode but does not exceed the overload threshold. If the wind-solar power generation exceeds the overload threshold, the hydrogen production unit 112 operates in the overload mode in a state exceeding the rated power. When the overload time exceeds the overload time threshold, the hydrogen production unit 112 operates in the overload protection mode and adjusts back to the rated power operation.

[0072] Among them, the determination condition for the energy storage priority operation mode is the following formula (2), the output power of the hydrogen production unit 112 in the energy storage priority operation mode satisfies formula (3), and the current power of the electrochemical energy storage unit 113 in the energy storage priority operation mode satisfies formula (4).

[0073] P_WIND + P_PV > P_H2_rated & cap_bat < Cap_bat_max (2)

[0074] P_H2 = P_H2_rated (3)

[0075] cap_bat = min(P_WIND + P_PV - P_H2_rated, Cap_bat_max - cap_bat) (4)

[0076] Among them, the determination condition for the overload mode is the following formula (5), and the output power of the hydrogen production unit 112 in the overload mode satisfies formula (6).

[0077] P_WIND + P_PV > P_H2_rated & P_H2 = P_H2_rated & cap_bat = Cap_bat_max & t ≤ T_overload (5)

[0078] P_H2 = min((P_WIND + P_PV), P_H2_max) (6)

[0079] Among them, the determination condition of the overload protection mode is the following formula (7), and the output power of the hydrogen production unit 112 in the overload protection mode satisfies formula (8).

[0080] P_WIND + P_PV > P_H2_rated & P_H2 > P_H2_rated &

[0081] cap_bat = Cap_bat_max & t > T_overload (7)

[0082] P_H2 = P_H2_rated (8)

[0083] Among them, t represents the running time of the hydrogen production unit 112.

[0084] When the wind-solar power generation is not sufficient to maintain the operation of the hydrogen production system at the minimum operating power, the energy storage replenishment and step-by-step shutdown mode is executed. In the energy storage replenishment and step-by-step shutdown mode, the wind-solar hydrogen production subsystem 110 calls the electrochemical energy storage unit 113 to discharge and the wind-solar power generation unit 111 to jointly maintain the operation of the hydrogen production unit 112 at the minimum operating power. The wind-solar power generation is less than the minimum power of the hydrogen production unit 112. If the discharge of the electrochemical energy storage unit 113 cannot meet the operation of the hydrogen production unit 112 at the minimum power, the hydrogen production unit 112 will successively enter the hot standby state, the cold start state, and the shutdown state.

[0085] The energy storage replenishment and step-by-step shutdown mode includes the following modes: the hydrogen production unit operates at the minimum operating power, the hydrogen production unit enters the hot standby state, the hydrogen production unit enters the cold start state, and the hydrogen production unit enters the shutdown state.

[0086] The determination condition for the hydrogen production unit 112 to operate at the minimum operating power is the following formula (9), and the output power when the hydrogen production unit 112 operates at the minimum operating power satisfies formula (10).

[0087] P_WIND + P_PV + min((P_H2_min - (P_WIND + P_PV)), P_bat_dis_max) ≥ P_H2_min (9)

[0088] P_H2 = P_H2_min (10)

[0089] The determination condition for the hydrogen production unit 112 to enter the hot standby state is the following formula (11), and the output power when the hydrogen production unit 112 enters the hot standby state satisfies the following formula (12).

[0090] P_H2_hot ≤ P_WIND + P_PV < P_H2_min; (11)

[0091] P_H2 = 0; (12)

[0092] The determination condition for the hydrogen production unit 112 to enter the cold start state is the following formula (13), and the operating power when the hydrogen production unit 112 enters the cold start state satisfies the following formula (14).

[0093] P_H2_cold ≤ P_WIND + P_PV < P_H2_hot; (13)

[0094] P_H2 = 0; (14)

[0095] The determination condition for the hydrogen production system to enter the shutdown state is the following formula (15), and the output power when the hydrogen production system enters the shutdown state satisfies the following formula (16).

[0096] P_WIND + P_PV < P_H2_cold (15);

[0097] P_H2 = 0 (16).

[0098] In step 201, the capacity configuration parameters of the wind-solar-hydrogen production subsystem 110 may include the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electrochemical energy storage unit 113. The capacity configuration parameters of the hydrogen production unit 112 may include the electrolyzer capacity, the number of electrolyzers configured, etc., and the capacity configuration parameters of the electrochemical energy storage unit 113 may include, but are not limited to, the rated capacity and power capacity of the electrochemical energy storage unit 113.

[0099] In step 201, the particle swarm optimization algorithm can be introduced to solve the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electrochemical energy storage unit 113 with the minimum hydrogen production cost.

[0100] In some embodiments, step 201 may include: constructing a levelized hydrogen production cost objective function, which is the ratio of the hydrogen production cost to the hydrogen production volume of the wind-solar-hydrogen production subsystem 110 over its life cycle; and, using the levelized hydrogen production cost objective function as the fitness function to perform particle swarm optimization algorithm to solve for the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electrochemical energy storage unit 113 when the levelized hydrogen production cost is minimized, and the fitness function is subject to the aforementioned multiple predetermined operating modes of the wind-solar-hydrogen production subsystem 110.

[0101] Specifically, the input of the fitness function is the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electro-chemical energy storage unit 113. The constraint condition of the fitness function is multiple predetermined operation modes of the wind-solar hydrogen production subsystem 110, and the output of the fitness function is the minimum value of the levelized hydrogen production cost.

[0102] Specifically, the specific calculation method of the levelized hydrogen production cost objective function can be the present value of the cost within the life cycle divided by the present value of the hydrogen production volume within the life cycle. The present value of the cost within the life cycle is the difference obtained by subtracting the present value of the fixed asset residual value of the wind-solar hydrogen production subsystem 110 from the initial investment cost of the wind-solar hydrogen production subsystem 110, plus the sum of the present value of the operation and maintenance costs of the wind-solar hydrogen production subsystem 110 within the life cycle, plus the interest cost within the entire project life cycle. The initial investment cost of the wind-solar hydrogen production subsystem 110 can be the sum of the initial investment cost of the wind power generation unit (i.e., the wind power investment cost), the initial investment cost of the photovoltaic power generation unit (i.e., the photovoltaic investment cost), the initial investment cost of the electro-chemical energy storage unit 113 (i.e., the energy storage unit investment cost), and the initial investment cost of the hydrogen production unit 112 (i.e., the hydrogen production unit 112 investment cost). The fixed asset residual value can be the sum of the fixed asset residual value of the wind power generation unit (i.e., the wind power fixed asset residual value), the fixed asset residual value of the photovoltaic power generation unit (i.e., the photovoltaic fixed asset residual value), the fixed asset residual value of the electro-chemical energy storage unit 113 (i.e., the energy storage unit fixed asset residual value), and the fixed asset residual value of the hydrogen production unit 112 (i.e., the hydrogen production unit fixed asset residual value). The project operation and maintenance cost can be the sum of the operation and maintenance cost of the wind power generation unit (i.e., the wind power operation and maintenance cost), the operation and maintenance cost of the photovoltaic power generation unit (i.e., the photovoltaic operation and maintenance cost), the operation and maintenance cost of the electro-chemical energy storage unit 113 (i.e., the energy storage unit operation and maintenance cost), and the operation and maintenance cost of the hydrogen production unit 112 (i.e., the operation and maintenance cost of the hydrogen production unit 112).

[0103] Among them, the operation and maintenance cost of the hydrogen production unit 112 includes the equipment overhaul cost for a fixed number of years, and the operation and maintenance cost of the electro-chemical energy storage unit 113 includes the battery pack replacement cost for a fixed number of years.

[0104] In some examples, if the life cycle is selected as one year or other unit values, the levelized hydrogen production cost objective function can be the unit hydrogen production cost model.

[0105] Among them, the unit hydrogen production cost model C 单位制氢成本 The specific calculation formula is as follows in Equation (17):

[0106]

[0107] Among them, Y represents the project cycle, y represents the y-th year within the project cycle, and i represents the discount rate.

[0108] Among them, C 风光制氢子系统始投资成本The calculation formula is as follows in Equation (18):

[0109] C 风光制氢子系统初始投资成本 =

[0110] C 风电投资成本 + C 光伏投资成本 + C 电化学储能单元投资成本 + C 制氢单元投资成本 (18)

[0111] C 固定资产残值 The calculation formula is as follows in Equation (19):

[0112] C 风光制氢子系统固定资产残值 = C 风电固定资产残值 + C 光伏固定资产残值 +

[0113] C 电化学储能单元固定资产残值 + C 制氢单元固定资产残值 (19)

[0114] P 第y年风光制氢子系统运维成本 The calculation formula is as follows in Equation (20):

[0115] C 第y年运维成本 =

[0116] C 第y年风电运维成本 + C 第y年光伏运维成本 + C 第y年电化学储能单元运维成本 + C 第y年制氢单元运维成本 (20)

[0117] Figure 3 Figure 201 shows a schematic diagram of the specific implementation process for determining the capacity configuration parameters of the wind-solar hydrogen production subsystem. Refer to Figure 3 , the specific implementation process for determining the capacity configuration parameters of the wind-solar hydrogen production subsystem 110 based on the particle swarm optimization algorithm in step 201 may include the following steps:

[0118] Step 301, initialize the parameters of the particle swarm optimization algorithm (PSO, Particle Swarm Optimization), including the individual learning factor, social learning factor, inertia weight range, maximum number of iterations, population size, etc.;

[0119] Step 302, initialize the position and velocity of the particles. The particle position is the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electrochemical energy storage unit 113, and the particle velocity is the direction and rate of particle movement in the search space;

[0120] Step 303, load the wind-solar power output data for 8760 hours throughout the year;

[0121] Step 304: Define a fitness function and calculate the fitness value of each particle. The fitness function is the unit hydrogen production cost model, and the unit hydrogen production cost model is constrained by the operation mode of the wind-solar hydrogen production subsystem 110, as well as the particle search boundary and flight speed limit.

[0122] When the fitness function is the unit hydrogen production cost model, the inputs of the fitness function are the capacity configuration parameters of the hydrogen production unit 112 and the capacity configuration parameters of the electrochemical energy storage unit 113. With the aforementioned multiple predetermined operation modes of the wind-solar hydrogen production subsystem 110 as the constraint conditions, the output is the levelized hydrogen production cost.

[0123] Step 305: Update the individual optimal position and fitness value. Find the position with the best fitness value among the individual optimal positions of all particles and set it as the global optimal position, and record the capacity configuration parameters of the hydrogen production unit 112 and the electrochemical energy storage unit 113 corresponding to this global optimal position. Update the inertia weight and the number of iterations. Iterate continuously in this way until the number of iterations reaches the preset maximum number of iterations, and output the result, that is, the global optimal position. This global optimal position represents the optimal capacity configuration parameters of the hydrogen production unit 112 and the electrochemical energy storage unit 113. Under this optimal capacity configuration parameter, the wind-solar hydrogen production subsystem 110 has the lowest unit hydrogen production cost.

[0124] As can be seen from the above, in step 201, for the fluctuating demand of wind-solar hydrogen production, multiple predetermined operation modes of the wind-solar hydrogen production subsystem 110 and the levelized hydrogen production cost objective function are established. Combining the particle swarm optimization algorithm, the capacity configuration of the wind-solar hydrogen production subsystem 110 is carried out with the goal of the lowest hydrogen production cost, obtaining an economic and efficient power-hydrogen coupling system configuration. At the same time, it is ensured that all the electricity in the hydrogen production process comes from renewable energy, achieving the lowest levelized hydrogen production cost.

[0125] In step 202, the capacity configuration parameters of the ammonia synthesis subsystem 120 may include: the capacity configuration parameters of the hydrogen storage tank 121. In some examples, the capacity configuration parameters of the hydrogen storage tank 121 may include the capacity of the hydrogen storage tank 121. In other examples, in addition to including the capacity of the hydrogen storage tank 121, the capacity configuration parameters of the hydrogen storage tank 121 may also include other parameters such as the working pressure and temperature of the hydrogen storage tank 121, the characteristics of the hydrogen storage material, the storage state constraint, the buffer time, the hydrogen charging / discharging rate, etc.

[0126] In step 202, the capacity optimization model has two objective functions, namely maximizing the wind-solar consumption rate and minimizing the total system cost. The capacity optimization model is used to determine the optimal capacity configuration of equipment such as the hydrogen storage tank 121 in the ammonia synthesis subsystem 120 in a relatively long period (for example, within 10 years) by comprehensively considering various factors such as investment cost, operation and maintenance cost, and future uncertainties.

[0127] The energy scheduling model performs short-term (e.g., daily, weekly, per moment, monthly, annually, etc.) operation optimization, focusing on how to arrange the operations of power generation, electrolysis, and energy storage to minimize the total system cost or maximize the revenue under the given capacity configuration of the wind-solar hydrogen production subsystem 110, while satisfying the supply-demand balance and safety constraints. The energy scheduling model has an objective function, which is the system operation cost.

[0128] As the upper layer, the capacity optimization model takes the capacity configuration parameters (e.g., the capacity of the hydrogen storage tank 121) of the ammonia synthesis subsystem 120 obtained by itself as input and transfers them to the lower-layer energy scheduling model. Based on the capacity configuration parameters of the ammonia synthesis subsystem 120 obtained by the capacity optimization model, the energy scheduling model performs operation optimization under the given capacity configuration of the wind-solar hydrogen production subsystem 110 and feeds back the operation control scheme of the wind-solar hydrogen production ammonia synthesis system 100 optimized by itself to the upper-layer capacity optimization model. The capacity optimization model calculates the wind-solar energy consumption rate of the ammonia synthesis subsystem 120 based on the operation control scheme fed back by the energy scheduling model, and performs long-term optimization again under the given capacity configuration of the wind-solar hydrogen production subsystem 110. Iteratively, when generating a new capacity configuration each time, the lower-layer model is called to solve the corresponding operation control scheme, and the results are merged into the upper-layer solution set. The upper layer sorts the solutions and can select one of the solutions as the final capacity configuration parameters of the ammonia synthesis subsystem 120 according to user needs or automatic settings.

[0129] In some examples, the constraint conditions of the energy scheduling model can include: the operation constraints of the wind-solar hydrogen production subsystem 110, the operation constraints of the power grid, and the operation constraints of the hydrogen storage tank 121. In addition, the constraint conditions of the energy scheduling model can also include, but are not limited to, one or more of the following: energy balance constraint, ammonia synthesis operation constraint, air separation nitrogen production operation constraint, hydrogen balance constraint, and energy storage operation constraint.

[0130] Figure 4 The figure shows an example diagram of the constraint conditions of the energy scheduling model.

[0131] See Figure 4 , the operation constraint of the wind-solar hydrogen production subsystem 110 is that the sum of the actual power generation power and the discarded power provided by the wind-solar hydrogen production subsystem 110 to the ammonia synthesis subsystem 120 (i.e., the air separation nitrogen production unit 123 and the ammonia synthesis unit 122, etc.) is equal to the theoretical power generation power that the wind-solar hydrogen production subsystem 110 can supply to the ammonia synthesis subsystem 120 (i.e., the air separation nitrogen production unit 123 and the ammonia synthesis unit 122).

[0132] Specifically, the theoretical power generation power provided by the wind-solar hydrogen production subsystem 110 to the ammonia synthesis subsystem 120 satisfies the following formula (21).

[0133] P_avail = P_WIND + P_PV - P_H2 - P_bat_cha + P_bat_dis (21)

[0134] Among them, P_WIND represents the available power of the wind power generation unit in the wind-solar hydrogen production subsystem 110, P_PV represents the available power of the photovoltaic power generation unit, P_H2 represents the operating power of the hydrogen production unit 112, P_bat_cha represents the charging power of the electrochemical energy storage unit 113, P_bat_dis represents the discharging power of the electrochemical energy storage unit 113, and P_avail represents the theoretical power generation that the wind-solar hydrogen production subsystem 110 can supply to the ammonia synthesis subsystem 120.

[0135] The grid operation constraint means that: the grid operation satisfies that the annual grid-connected power is lower than the first predetermined ratio of the annual power generation, the abandoned wind power is lower than the second predetermined ratio of the annual theoretical power generation, and the power purchase and power sale are kept within the transmission system capacity (P_gird_max).

[0136] See Figure 4 , for example, the first predetermined ratio can be set to 20%, and the second predetermined ratio can be set to 10%. That is, the grid operation constraint satisfies that the annual grid-connected power is lower than 20% of the annual power generation, the abandoned wind power is lower than 10% of the annual theoretical power generation, and the power purchase and power sale need to be kept within the transmission system capacity (P_gird_max). That is, the grid operation constraint can be expressed by the following formulas (22) to (27).

[0137] sum(P_sell) ≤ sum(P_H2 + P_bat_cha - P_bat_dis + P_avail_act) * 0.2 (22)

[0138] sum(P_was) ≤ sum(P_WIND + P_PV) * 0.1 (23)

[0139] 0 ≤ P_gird ≤ P_gird_max (24)

[0140] 0 ≤ P_sell ≤ P_gird_max (25)

[0141] 0 ≤ P_sell ≤ M * b_g (26)

[0142] 0 ≤ P_grid ≤ M * (1 - b_g) (27)

[0143] Among them, \(P_{sell}\) represents the grid-connected power for selling electricity to the power grid, \(P_{grid}\) represents the off-grid power for buying electricity from the power grid, \(P_{avail\_act}\) represents the actual power generated by the wind and light to supply the air separation nitrogen production and ammonia synthesis units, \(P_{was}\) represents the curtailed power, \(M\) is a positive integer greater than \(1\times10^{8}\), and \(b_g\) is a binary variable (\(0 - 1\)). When \(b_g = 1\), it means selling electricity to the power grid. At this time, there is surplus electricity and it is impossible to buy electricity from the power grid. When \(b_g = 0\), it means buying electricity from the power grid. At this time, the electricity is insufficient and it is impossible to sell electricity to the power grid.

[0144] See Figure 4 , the operation constraint of the hydrogen storage tank 121 means that: the operation of the hydrogen storage tank 121 satisfies that the hydrogen storage capacity of the hydrogen storage tank 121 is always between the maximum hydrogen storage capacity and the minimum hydrogen storage capacity of the hydrogen storage tank 121. The change constraint relationship between the current hydrogen storage capacity and the hydrogen storage capacity at the previous scheduling moment is the same as the starting and ending hydrogen storage capacities. At the same time, the hydrogen charging rate and the hydrogen discharging rate are limited within the set range.

[0145] Specifically, the operation constraint of the hydrogen storage tank 121 can be expressed as the following constraint formulas (28) - (32):

[0146] \(V_{H2}(t + 1)=V_{H2}(t)+V_{H2\_in}(t)\times\eta_{in}-V_{H2\_out}(t) / \eta_{out}\ (28)\)

[0147] \(V_{H2\_min}\leq V_{H2}\leq V_{H2\_max}\ (29)\)

[0148] \(V_{H2\_in\_min}\leq V_{H2\_in}\leq V_{H2\_in\_max}\ (30)\)

[0149] \(V_{H2\_out\_min}\leq V_{H2\_out}\leq V_{H2\_out\_max}\ (31)\)

[0150] \(V_{H2}(1)=V_{H2}(8760)\ (32)\)

[0151] Among them, \(V_{H2}\) represents the hydrogen storage capacity, \(V_{H2\_in}\) represents the hydrogen charging rate, \(V_{H2\_out}\) represents the hydrogen discharging rate, \(V_{H2\_min}\) represents the minimum hydrogen storage capacity of the hydrogen storage tank 121, \(V_{H2\_max}\) represents the maximum hydrogen storage capacity of the hydrogen storage tank 121, \(V_{H2\_in\_min}\) represents the lower limit of the hydrogen charging rate, \(V_{H2\_in\_max}\) represents the upper limit of the hydrogen charging rate, \(V_{H2\_out\_min}\) represents the lower limit of the hydrogen discharging rate, \(V_{H2\_out\_max}\) represents the upper limit of the hydrogen discharging rate, \(\eta_{in}\) represents the hydrogen charging efficiency, \(\eta_{out}\) represents the hydrogen discharging efficiency, \(V_{H2}(1)\) represents the hydrogen storage capacity at the 1st hour of the whole year, and \(V_{H2}(8760)\) represents the hydrogen storage capacity at the 8760th hour of the whole year.

[0152] SeeFigure 4 , the energy balance constraint means that the energy balance is satisfied such that the power consumption of the air separation nitrogen production unit 123 and the power consumption of the synthetic ammonia unit 122 are sourced from the power grid unit (P_gird) and the wind-solar hydrogen production subsystem 110 (i.e., wind-solar power generation units 111 such as wind power generation units and photovoltaic power generation units). Specifically, the energy balance constraint can be expressed by the following formulas (33) - (34):

[0153] P_avail_act + P_gird = P_N2 + P_NH3 + P_sell (33)

[0154] P_avail_act + P_was = P_avail (34)

[0155] Wherein, P_N2 represents the power consumption of the air separation nitrogen production unit 123, P_NH3 represents the power consumption of the synthetic ammonia unit 122, P_sell represents the power selling of the wind-solar power generation unit, P_was represents the abandoned power of the wind-solar power generation unit, and P_avail represents the theoretical power generation that the wind-solar hydrogen production subsystem can supply to the synthetic ammonia subsystem.

[0156] See Figure 4 , the hydrogen balance constraint, which is also the operation constraint of the hydrogen production unit 112, means that the operation of the hydrogen production unit 112 satisfies the ramp rate limit and the load fluctuation limit. The hydrogen production amount is calculated by multiplying the energy consumption of the hydrogen production unit 112 by the operating power, and the hydrogen production amount is equal to the hydrogen filling amount of the hydrogen storage tank 121. The synthetic ammonia operation constraint is the operation constraint of the synthetic ammonia unit 122, which means that the operation of the synthetic ammonia unit 122 satisfies the ramp rate limit and the load fluctuation limit. The ammonia production amount is calculated by multiplying the energy consumption of the synthetic ammonia unit 122 by the operating power. The air separation nitrogen production operation constraint is also the operation constraint of the air separation nitrogen production unit 123, which means that the operation of the air separation nitrogen production unit 123 satisfies the ramp rate limit and the load fluctuation limit, and the nitrogen production amount is calculated by multiplying the energy consumption of the air separation nitrogen production unit 123 by the operating power.

[0157] Specifically, the hydrogen balance constraint can be expressed by the following formulas (35) - (38).

[0158] P_H2_min ≤ P_H2 ≤ P_H2_max (35)

[0159] P_H2(t) - P_H2(t - 1) ≤ ΔP up_H2 (36)

[0160] P_H2(t - 1) - P_H2(t) ≤ ΔP down_H2 (37)

[0161] P_H2 = lamda_H2 * V_H2_in (38)

[0162] Among them, P_H2_min represents the minimum operating power of the hydrogen production unit 112, P_H2_max represents the maximum operating power of the hydrogen production unit 112, and ΔP up_H2 represents the hydrogen production ramp rate, and ΔP down_H2 represents the hydrogen production downhill rate. Lamda_H2 represents the energy consumption of the hydrogen production unit 112, V_H2_in represents the hydrogen filling rate of the hydrogen storage tank 121, and P_H2 represents the operating power of the hydrogen production unit.

[0163] Specifically, the air separation nitrogen production operation constraints can be expressed by the following formulas (39) to (42).

[0164] P_N2_min ≤ P_N2 ≤ P_N2_max (39)

[0165] P_N2(t) - P_N2(t - 1) ≤ ΔP up_N2 (40)

[0166] P_N2(t - 1) - P_N2(t) ≤ ΔP down_N2 (41)

[0167] P_N2 = lamda_N2 * V_N2 (42)

[0168] Among them, P_N2_min represents the minimum operating power of the air separation nitrogen production unit 123, P_N2_max represents the maximum operating power of the air separation nitrogen production unit 123, and ΔP up_N2 represents the air separation nitrogen production ramp rate, and ΔP down_N2 represents the air separation nitrogen production downhill rate. Lamda_N2 represents the energy consumption of the air separation nitrogen production unit 123, V_N2 represents the nitrogen production amount of the air separation nitrogen production unit 123, and P_N2 represents the operating power of the air separation nitrogen production unit 123.

[0169] Specifically, the ammonia synthesis operation constraints can be expressed by the following formulas (43) to (47).

[0170] P_NH3_min ≤ P_NH3 ≤ P_NH3_max (43)

[0171] P_NH3(t) - P_NH3(t - 1) ≤ ΔP up_NH3 (44)

[0172] P_NH3(t - 1) - P_NH3(t) ≤ ΔP down_NH3 (45)

[0173] P_NH3 = lamda_NH3 * V_NH3 (46)

[0174] V_NH3 = V_H2_out * 2 / 3 (47)

[0175] Among them, P_NH3_min represents the minimum operating power of the ammonia synthesis unit 122, P_NH3_max represents the maximum operating power of the ammonia synthesis unit 122, and ΔP up_NH3 represents the ramp rate of the ammonia synthesis unit 122, and ΔP down_NH3 represents the downhill rate of the ammonia synthesis unit 122. Lamda_NH3 represents the system energy consumption of the ammonia synthesis unit 122, V_NH3 represents the ammonia production of the ammonia synthesis unit 122, and P_NH3 represents the operating power of the ammonia synthesis unit. Among them, the ammonia production is equal to 2 / 3 of the hydrogen release amount of the hydrogen storage tank 121. V_H2_out represents the hydrogen release amount of the hydrogen tank, and V_NH3 represents the ammonia production of the ammonia synthesis unit 122.

[0176] See Figure 4 , and the energy storage operation constraint, that is, the operation constraint of the electrochemical energy storage unit 113, means that the electrochemical energy storage unit 113 satisfies that the current stored electricity is between the maximum stored electricity and the minimum stored electricity, and satisfies the change constraint of the current stored electricity and the stored electricity at the previous scheduling moment.

[0177] Specifically, the energy storage operation constraint can be expressed by the following formulas (48) to (54)

[0178] 0 ≤ P_bat_cha ≤ P_bat_cha_max (48)

[0179] 0 ≤ P_bat_dis ≤ P_bat_dis_max (49)

[0180] cap_bat_min ≤ cap_bat ≤ cap_bat_max (50)

[0181] cap_bat(t) = cap_bat(t - 1) + P_bat_cha - P_bat_dis (51)

[0182] 0 ≤ P_bat_cha ≤ M * b_g (52)

[0183] 0 ≤ P_bat_dis ≤ M * (1 - b_g) (53)

[0184] cap_bat(1) = cap_bat(8760) (54)

[0185] Among them, M is a positive integer greater than 1e8. When b_g = 1, it means that the electrochemical energy storage unit 113 is charging, and at this time, it cannot discharge; when b_g = 0, it means that the electrochemical energy storage unit 113 is discharging, and at this time, it cannot charge.

[0186] In step 202, the capacity optimization model can be the NSGA-II algorithm model. The NSGA-II algorithm model aims to maximize the wind and solar energy accommodation rate and minimize the total system cost, with the capacity of the hydrogen storage tank 121 in the synthetic ammonia subsystem 120 as the decision variable (that is, the capacity of the hydrogen storage tank 121 is used as an adjustable parameter).

[0187] In some examples, the objective function of the wind and solar energy accommodation rate can be defined as the following formula (55).

[0188] C 风光消纳率 =1-(sum(P wαs ) / sum(P_WIND+P_PV)) (55)

[0189] Wherein, C 风光消纳率 represents the wind and solar energy accommodation rate of the wind and solar hydrogen production and synthetic ammonia system 100.

[0190] The total system cost refers to the total contract of the wind and solar hydrogen production and synthetic ammonia system 100, which may include the system investment cost, interest cost, fixed asset depreciation cost, operation and maintenance cost, and energy purchase cost during the whole life cycle.

[0191] Exemplarily, the objective function of the total system cost can be defined as the following formula (56).

[0192]

[0193] Wherein, C 初始投资成本 may include the initial investment cost of the wind and solar hydrogen production subsystem 110, the initial investment cost of the hydrogen storage tank 121, the initial investment cost of the air separation and nitrogen production unit 123, and the initial investment cost of the synthetic ammonia unit 122, and can be obtained through the following formula (57).

[0194] C 初始投资成本 =

[0195] C 风光制氢子系统初始投资成本 +C 储氢罐初始投资 +C 空分制氮单元初始投资 +C 合成氨单元初始投资 (57)

[0196] The operation and maintenance cost P 第n年运维成本 in the nth year may include the operation and maintenance cost of the wind and solar hydrogen production subsystem 110 in the nth year, the operation and maintenance cost of the hydrogen storage tank 121 in the nth year, the operation and maintenance cost of the air separation and nitrogen production unit 123 in the nth year, and the operation and maintenance cost of the synthetic ammonia unit 122 in the nth year, and can be obtained through the following formula (58).

[0197] P 第n年运维成本 =

[0198] P 第n年风光制氢子系统运维成本 +P 第n年储氢罐运维成本 +P 第n年空分制氮单元运维成本 +

[0199] P 第n年合成氨单元运维成本 (58)

[0200] Among them, the operation and maintenance costs of the wind-solar hydrogen production subsystem 110, the operation and maintenance costs of the hydrogen storage tank 121, and the operation and maintenance costs of the ammonia synthesis unit 122 may respectively include the equipment overhaul costs for a fixed number of years.

[0201] Among them, F 固定资产残值 Includes the salvage value of the wind-solar hydrogen production subsystem 110, the salvage value of the hydrogen storage tank 121, the salvage value of the air separation nitrogen production unit 123, and the salvage value of the ammonia synthesis unit 122, and can be obtained by the following formula (59).

[0202] F 固定资产残值 =

[0203] F 风光制氢子系统残值 +F 储氢罐固定资产残值 +F 空分制氮单元固定资产残值 +F 合成氨单元固定资产残值 (59)

[0204] In step 202, the energy scheduling model can be a mixed integer programming (MIP, Mixed-Integer Programming) algorithm model, and the MIP algorithm model aims to minimize the system operation cost. The system operation cost refers to the system operation cost under the given capacity configuration of the wind-solar hydrogen production subsystem 110, and its objective function can be defined as the following formula (60) and the calculation formula is as follows:

[0205] C 系统运行费用 =C 购电费用 -C 售电费用 (60)

[0206] Among them, C 系统运行费用 represents the system operation cost of the wind-solar hydrogen production ammonia synthesis system 100, C 购电费用 represents the power purchase cost of the wind-solar hydrogen production ammonia synthesis system 100 from the power grid, and C 售电费用 represents the power selling cost of the wind-solar hydrogen production ammonia synthesis system 100 to the power grid.

[0207] Specifically, step 202 may specifically include: First, call the NSGA-II model to obtain the capacity configuration parameters of the ammonia synthesis subsystem 120 in the current period based on the capacity configuration parameters of the wind-solar hydrogen subsystem; Second, call the MIP model to obtain the operation control scheme of the wind-solar hydrogen production ammonia synthesis system for each time series in the current period based on the capacity configuration parameters of the wind-solar hydrogen subsystem, and update the capacity configuration parameters of the ammonia synthesis subsystem 120 by calling the NSGA-II model based on the operation control scheme of the wind-solar hydrogen production ammonia synthesis system obtained by the MIP model in the current period and the capacity configuration parameters of the wind-solar hydrogen subsystem, and iterate until the preset convergence condition is met.

[0208] The method according to an embodiment of the present disclosure may further include: obtaining the wind and light accommodation rate and the total system cost corresponding to the capacity configuration parameters of the ammonia synthesis subsystem 120. Specifically, the wind and light accommodation rate and the total system cost corresponding to the capacity configuration parameters of the ammonia synthesis subsystem 120 may be obtained simultaneously when the capacity configuration parameters of the ammonia synthesis subsystem 120 are obtained in step 202. Thus, when the capacity configuration parameters of the wind-hydrogen-ammonia synthesis system 100 are obtained, the wind and light accommodation rate and the total system cost corresponding to the capacity configuration parameters can be provided, which is convenient for users to select according to their needs.

[0209] The process of calling the NSGA-II model to obtain the capacity configuration parameters of the ammonia synthesis subsystem 120 may include: setting the capacity of the hydrogen storage tank 121 as a decision variable, with the objective function being to maximize the wind power accommodation rate and minimize the total system cost, and calling the second-generation non-dominated sorting genetic algorithm (NSGA-II, Non-Dominated Sorting Genetic Algorithm II) to optimize the above two objectives, and an optimal solution set at different trade-off points between the wind and light accommodation rate and the total system cost can be solved.

[0210] Figure 5 An exemplary implementation process for determining the capacity configuration parameters of the ammonia synthesis subsystem 120 in step 202 is shown. Refer to Figure 5 , and may include the following steps:

[0211] Step 501, setting the parameters of the NSGA-II algorithm, including population size, maximum number of iterations, crossover rate, mutation rate, mutation step size, etc.;

[0212] Step 502, initializing the parental population, calling the MIP model under the given capacity configuration of the wind-hydrogen production subsystem 110 (i.e., the capacity configuration parameters of the wind-hydrogen production subsystem 110 obtained in step 201 remain unchanged) to calculate the objective function values of the individuals in the parental population, and performing non-dominated sorting;

[0213] Step 503, performing crossover and mutation on the parental population to obtain the offspring population, calling the MIP model under the above given capacity configuration to calculate the objective function values of the individuals in the offspring population, and performing non-dominated sorting;

[0214] Step 504, merging the parental population and the offspring population to form a new population, performing non-dominated sorting on the new population, and calculating the crowding distance and sorting;

[0215] Step 505, retaining the elite population, and selecting the first N individuals from the new population as the new parental population;

[0216] Step 506: Update the iteration count and determine whether the current iteration count has reached the preset maximum iteration count. If the iteration count has not been reached, repeat the iteration of steps 503 - 505 using the new parent population formed in step 505 until the maximum iteration count is reached. At this point, the iteration ends, and the optimized result is output. At this time, the top N individuals that meet the conditions are obtained as the capacity configuration result, and each individual corresponds to three output parameters: capacity configuration, wind and solar power consumption rate, and total system cost.

[0217] Furthermore, the method of the embodiments of the present disclosure may further include: calculating the unit ammonia production cost based on the capacity configuration parameters of the wind-solar-hydrogen subsystem and the capacity configuration parameters of the ammonia synthesis subsystem 120. Thus, while obtaining the capacity configuration parameters of the wind-solar-hydrogen ammonia synthesis system 100, the unit ammonia production cost corresponding to the capacity configuration parameters can be provided, facilitating the user's selection according to needs.

[0218] In some examples, the unit ammonia production cost can be calculated through a unit ammonia production cost inference model, which can obtain the unit ammonia production cost by calculating the ratio of the total system cost over the life cycle to the ammonia production volume.

[0219] Among them, the unit ammonia production cost inference model can be expressed as the following formula (61).

[0220]

[0221] Among them, LCOA represents the unit ammonia production cost, C 系统总成本 represents the total system cost of the wind-solar-hydrogen ammonia synthesis system 100, K 第n年产氨量 represents the ammonia production volume in the nth year, N represents the project cycle, and n represents the nth year of the project.

[0222] In summary, in step 202, in response to the stability requirements of the ammonia synthesis process, an energy scheduling model for the power-hydrogen-ammonia coupling system is established under a given capacity configuration of the wind-solar-hydrogen subsystem, and a capacity optimization model with the goal of maximizing the wind power consumption rate and minimizing the total system cost is established. The capacity configuration parameters of the ammonia synthesis subsystem are determined through the energy scheduling model and the capacity optimization model to ensure the effective complementarity and connection between green power-green hydrogen-green ammonia, and to minimize the total system cost.

[0223] As can be seen from the above, for the method provided by the embodiments of the present disclosure, on the one hand, by planning the capacity configuration of the electrolyzer and the energy storage device in the wind-solar hydrogen production subsystem, fully green hydrogen production is achieved at the lowest cost. On the other hand, the capacity configuration of the hydrogen storage tank in the ammonia synthesis subsystem is regulated to smooth out the fluctuations in the hydrogen demand of the ammonia synthesis process, so as to achieve effective complementarity and connection among green power, green hydrogen, and green ammonia in general, and to minimize the total cost of the wind-solar hydrogen production ammonia synthesis system, maximize the wind-solar accommodation rate, and minimize the system operation cost. Therefore, through the configuration of different target scenarios in two stages, while reducing the configuration complexity of the wind-solar hydrogen production ammonia synthesis system 100, the system is optimized and configured respectively for the volatility of wind-solar hydrogen production and the stability requirements of the ammonia synthesis process, realizing the decoupled capacity configuration of the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem, being able to more accurately meet the needs of actual engineering construction, improving the scientificity, feasibility, and compliance of the early-stage engineering construction plan, and playing an important promoting role in the technological upgrading and industrial implementation of the green hydrogen and green chemical industries.

[0224] In addition, through decoupling, the embodiments of the present disclosure can flexibly adjust and optimize the system configuration respectively according to the market demands and policy orientations of green hydrogen and green ammonia, while ensuring the effective complementarity and smooth connection among green power, green hydrogen, and green ammonia, and improving the market adaptability and flexibility of the system. In areas rich in wind-solar resources, wind-solar hydrogen production can be given priority to reduce the hydrogen production cost; in areas with large ammonia synthesis demand, the configuration and operation strategy of the ammonia synthesis device can be optimized to improve the energy conversion efficiency and reduce the investment and production cost.

[0225] Figure 6 The structural schematic diagram of the configuration device of the wind-solar hydrogen production synthesis system provided by the embodiments of the present disclosure is shown. Refer to Figure 6 , the configuration device 600 of the wind-solar hydrogen production synthesis system of the embodiments of the present disclosure may include:

[0226] A first configuration unit 601, configured to determine the capacity configuration parameters of the wind-solar hydrogen production subsystem with multiple predetermined operation modes of the wind-solar hydrogen production subsystem as constraint conditions and with the goal of minimizing the levelized hydrogen production cost;

[0227] A second configuration unit 602, configured to determine the capacity configuration parameters of the ammonia synthesis subsystem based on the capacity configuration parameters of the wind-solar hydrogen production subsystem by invoking a capacity optimization model and an energy scheduling model. The capacity optimization model aims to maximize the wind-solar accommodation rate and minimize the total system cost, and the energy scheduling model aims to minimize the system operation cost.

[0228] Further, the first configuration unit 601 can specifically be used to: construct a levelized hydrogen production cost objective function, which is the ratio of the hydrogen production cost to the hydrogen production volume of the wind-solar hydrogen production subsystem over its life cycle; and, use the levelized hydrogen production cost objective function as a fitness function to solve by means of a particle swarm optimization algorithm to obtain the capacity configuration parameters of the hydrogen production unit and the capacity configuration parameters of the electrochemical energy storage unit when the levelized hydrogen production cost is minimized, where the fitness function is subject to multiple predetermined operating modes of the wind-solar hydrogen production subsystem.

[0229] Further, the second configuration unit 602 can specifically be used to: call the NSGA-II model to obtain the capacity configuration parameters of the synthetic ammonia subsystem in the current period based on the capacity configuration parameters of the wind-solar-hydrogen subsystem; and, call the MIP model to obtain the capacity configuration parameters of the synthetic ammonia subsystem for each time series in the current period based on the capacity configuration parameters of the wind-solar-hydrogen subsystem, and call the NSGA-II model to update the capacity configuration parameters of the synthetic ammonia subsystem based on the capacity configuration parameters of the synthetic ammonia subsystem in the current period obtained by the MIP model and the capacity configuration parameters of the wind-solar-hydrogen subsystem, and iterate in this way until a preset convergence condition is met.

[0230] Further, the second configuration unit 602 can also be used to: obtain the wind power accommodation rate and the total system cost corresponding to the capacity configuration parameters of the synthetic ammonia subsystem.

[0231] Further, the configuration device 600 of the present disclosure embodiment may further include: an ammonia production cost calculation unit 603, which is used to calculate the unit ammonia production cost based on the capacity configuration parameters of the wind-solar-hydrogen subsystem and the capacity configuration parameters of the synthetic ammonia subsystem.

[0232] In a specific application, the configuration device 600 of the wind-solar hydrogen production and synthetic ammonia system can be implemented by software, hardware, or a combination of both. Exemplarily, the configuration device 600 of the wind-solar hydrogen production and synthetic ammonia system 100 can be implemented as software running on the following electronic device 700 or the coordination controller 130.

[0233] In addition, the present disclosure embodiment also provides a computer-readable storage medium, on which a computer program is stored, and the program includes instructions, and when the instructions are executed by one or more processors of a computing device, the steps of the configuration method of the aforementioned wind-solar hydrogen production and synthetic ammonia system 100 are executed.

[0234] Figure 7 The structural schematic diagram of the electronic device provided by the present disclosure embodiment is shown. Refer to Figure 7 , the electronic device 700 may include: one or more processors 701, and further includes a memory 702 storing one or more programs, which are executed by the above one or more processors 701 to implement the method flow shown in the above embodiments of the present disclosure and / or the program units corresponding to each unit in the device.

[0235] Each component is interconnected using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processor 701 can process instructions executed within the electronic device, including instructions stored in or on the memory for displaying graphical information of a user interface on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors and / or multiple buses can be used in conjunction with multiple memories and multiple memories if needed.

[0236] The processor 701 can include one or more single-core processors or multi-core processors. The processor 701 can include any combination of general-purpose processors or special-purpose processors (such as image processors, application processors, baseband processors, etc.).

[0237] The memory 702 is the computer-readable storage medium provided by the present disclosure and can be used to store non-transitory software programs, non-transitory computer-executable programs, and units, such as the program instructions / units corresponding to the configuration method of the wind-solar hydrogen production and ammonia synthesis system shown in Figure 2 The processor 701 executes the non-transitory software programs, instructions, and units stored in the memory 702, thereby executing the programs, instructions, and units corresponding to the configuration method of the wind-solar hydrogen production and ammonia synthesis system shown in Figure 2 as shown above in the method embodiments.

[0238] The electronic device 700 may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703, and the output device 704 can be connected via a bus or other means, Figure 7 taking connection via a bus as an example.

[0239] The input device 703 can receive input digital or character information and generate signal inputs related to user settings and function controls, such as input devices like touchscreens, keypads, mice, trackpads, touchpads, pointing sticks, one or more mouse buttons, trackballs, joysticks, etc. The output device 704 can include a display device, auxiliary lighting devices (such as LEDs), and tactile feedback devices (such as vibration motors), etc. The display device can include, but is not limited to, liquid crystal displays (LCDs), light-emitting diode (LED) displays, and plasma displays. In some embodiments, the display device can be a touchscreen.

[0240] The above program (also referred to as software, software application, or code) includes machine instructions for a programmable processor and can implement these computing programs using object-oriented programming languages, assembly, or machine language.

[0241] With the development of time and technology, the meaning of the medium has become increasingly broad. The dissemination channels of computer programs are no longer limited to tangible media and can also be directly downloaded from the network, etc. Any combination of one or more computer-readable storage media can be adopted. The computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0242] Exemplarily, the electronic device 700 can be implemented as, but is not limited to, the coordination controller 130 in the wind-solar hydrogen production and ammonia synthesis system 100.

[0243] The above has introduced the technical solutions provided by the present disclosure in detail. Specific examples are used in this article to elaborate on the principles and implementation manners of the present disclosure. The description of the above embodiments is only used to help understand the method and its core idea of the present disclosure; at the same time, for those of ordinary skill in the art, according to the idea of the present disclosure, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present disclosure.

[0244] The above are only the preferred embodiments of the present disclosure and are not intended to limit the present disclosure. Any modifications, equivalent replacements, etc. made within the spirit and principles of the present disclosure shall be included within the protection scope of the present disclosure.

Claims

1. A configuration method for a wind-solar hydrogen production and ammonia synthesis system, characterized in that The wind-solar hydrogen production and ammonia synthesis system includes a wind-solar hydrogen production subsystem, an ammonia synthesis subsystem, and a coordination controller. The coordination controller is respectively connected to the wind-solar hydrogen production subsystem and the ammonia synthesis subsystem. The ammonia synthesis subsystem includes a hydrogen storage tank, and the hydrogen storage tank is connected to the wind-solar hydrogen production subsystem. The configuration method of the wind-solar hydrogen production and ammonia synthesis system is executed by the coordination controller; The configuration method of the wind-solar hydrogen production and ammonia synthesis system includes: Taking multiple predetermined operating modes of the wind-solar hydrogen production subsystem as constraint conditions and minimizing the levelized hydrogen production cost as the objective, determining the capacity configuration parameters of the wind-solar hydrogen production subsystem; Invoking a capacity optimization model and an energy scheduling model to determine the capacity configuration parameters of the ammonia synthesis subsystem based on the capacity configuration parameters of the wind-solar hydrogen production subsystem. The capacity optimization model aims to maximize the wind-solar power consumption rate and minimize the total system cost, and the energy scheduling model aims to minimize the system operation cost.

2. The method according to claim 1, wherein The wind-solar hydrogen production subsystem includes a wind-solar power generation unit, a hydrogen production unit, and an electrochemical energy storage unit; The multiple predetermined operating modes are related to the available power of the wind-solar power generation unit, the current power of the electrochemical energy storage unit, and the operating performance parameters of each unit in the wind-solar hydrogen production subsystem.

3. The method according to claim 1 or 2, wherein The multiple predetermined operating modes include an overload protection and energy storage priority mode and an energy storage replenishment and step-by-step shutdown mode. The overload protection and energy storage priority mode includes an energy storage priority operation mode, an overload mode, and an overload protection mode. The energy storage replenishment and step-by-step shutdown mode includes the following modes: the hydrogen production unit operates at the minimum operating power, the hydrogen production unit enters the hot standby state, the hydrogen production unit enters the cold start state, and the hydrogen production unit enters the shutdown state; The determination condition of the energy storage priority operation mode is P_WIND+P_PV>P_H2_rated&cap_bat<Cap_bat_max; The determination condition of the overload mode is P_WIND+P_PV>P_H2_rated&P_H2=P_H2_rated&cap_bat=Cap_bat_max&t≤T_overload; The determination condition of the overload protection mode is P_WIND+P_PV>P_H2_rated&P_H2>P_H2_rated&cap_bat=Cap_bat_max&t>T_overload; The determination condition for the hydrogen production unit to operate at the minimum operating power is P_WIND+P_PV+min((P_H2_min-(P_WIND+P_PV)),P_bat_dis_max)≥P_H2_min; The determination condition for the hydrogen production unit to enter the hot standby state is P_H2_hot≤P_WIND+P_PV<P_H2_min; The determination condition for the hydrogen production unit to enter the cold start state is P_H2_cold≤P_WIND+P_PV<P_H2_hot; The determination condition for the hydrogen production unit to enter the shutdown state is: P_WIND + P_PV < P_H2_cold; Wherein, P_WIND represents the available power of the wind power generation unit, P_PV represents the available power of the photovoltaic power generation unit, P_H2_rated represents the rated power of the hydrogen production unit, cap_bat represents the current power of the electrochemical energy storage unit, Cap_bat_max represents the maximum power of the electrochemical energy storage unit, P_H2 represents the operating power of the hydrogen production unit, T_overload represents the overload time threshold of the hydrogen production unit, P_H2_min represents the minimum operating power of the hydrogen production unit, P_bat_dis_max represents the maximum discharge power of the electrochemical energy storage unit, and P_H2_cold represents the cold start power threshold of the hydrogen production unit.

4. The method according to claim 1 or 2, wherein, The capacity configuration parameters of the wind-solar-hydrogen production subsystem include: the capacity configuration parameters of the hydrogen production unit and the capacity configuration parameters of the electrochemical energy storage unit; Determining the capacity configuration parameters of the wind-solar-hydrogen production subsystem with the multiple predetermined operation modes of the wind-solar-hydrogen production subsystem as constraint conditions and the minimum levelized hydrogen production cost as the objective includes: Constructing a levelized hydrogen production cost objective function, where the levelized hydrogen production cost objective function is the ratio of the hydrogen production cost to the hydrogen production volume of the wind-solar-hydrogen production subsystem over the entire life cycle; Using the levelized hydrogen production cost objective function as the fitness function to solve by the particle swarm optimization algorithm to obtain the capacity configuration parameters of the hydrogen production unit and the capacity configuration parameters of the electrochemical energy storage unit when the levelized hydrogen production cost is minimized, and the fitness function is subject to the multiple predetermined operation modes of the wind-solar-hydrogen production subsystem as constraint conditions.

5. The method according to claim 1, wherein, The capacity optimization model is the NSGA-II model, and the NSGA-II model aims to maximize the wind-solar consumption rate and minimize the total system cost, with the capacity of the hydrogen storage tank in the synthetic ammonia subsystem as the decision variable; The energy scheduling model is the MIP model, and the MIP model aims to minimize the system operation cost.

6. The method according to claim 1 or 5, characterized in that, Invoking the capacity optimization model and the energy scheduling model to determine the capacity configuration parameters of the synthetic ammonia subsystem based on the capacity configuration parameters of the wind-solar-hydrogen production subsystem includes: Invoking the NSGA-II model to obtain the capacity configuration parameters of the synthetic ammonia subsystem in the current period based on the capacity configuration parameters of the wind-solar-hydrogen production subsystem; Invoking the MIP model to obtain the operation control scheme of the wind-solar-hydrogen production-synthetic ammonia system for each time series in the current period based on the capacity configuration parameters of the wind-solar-hydrogen subsystem, and based on the operation control scheme of the wind-solar-hydrogen production-synthetic ammonia system obtained by the MIP model in the current period and the capacity configuration parameters of the wind-solar-hydrogen production subsystem, invoking the NSGA-II model to update the capacity configuration parameters of the synthetic ammonia subsystem, and iterating until the preset convergence condition is met.

7. The method according to claim 1 or 5, characterized in that The constraint conditions of the energy scheduling model include the operation constraints of the wind-solar hydrogen production subsystem, the power grid operation constraints, and the operation constraints of the synthetic ammonia subsystem; The operation constraints of the wind-solar hydrogen production subsystem are as follows: The operation of the wind-solar hydrogen production subsystem satisfies that the sum of the actual power generation power and the abandoned power provided to the synthetic ammonia subsystem is equal to the theoretical power generation power that the wind-solar hydrogen production subsystem can provide to the synthetic ammonia subsystem; and / or, The power grid operation constraints are as follows: The power grid operation satisfies that the annual on-grid power is lower than the first predetermined ratio of the annual power generation, the abandoned wind power is lower than the second predetermined ratio of the annual theoretical power generation, and the power purchase power and the power sale power are kept within the transmission system capacity: and / or, The operation constraints of the synthetic ammonia subsystem include the operation constraints of the hydrogen storage tank, the air separation nitrogen production unit, and the synthetic ammonia unit. The operation of the hydrogen storage tank satisfies that the hydrogen storage volume of the hydrogen storage tank is always between the maximum hydrogen storage volume and the minimum hydrogen storage volume of the hydrogen storage tank, the change constraint relationship between the current hydrogen storage volume and the hydrogen storage volume at the previous scheduling moment is the same, and the start and end hydrogen storage volumes are the same, and the hydrogen storage rate and the hydrogen release rate are limited within the set range. The operation of the air separation nitrogen production unit and the operation of the synthetic ammonia unit satisfy that they always remain between the minimum operation power and the maximum operation power, and the change constraint relationship between the current operation power and the operation power at the previous scheduling moment.

8. The method according to claim 1, wherein The method further includes: obtaining the wind-solar power consumption rate and the total system cost corresponding to the capacity configuration parameters of the synthetic ammonia subsystem; and / or, calculating the unit ammonia production cost based on the capacity configuration parameters of the wind-solar hydrogen subsystem and the capacity configuration parameters of the synthetic ammonia subsystem.

9. An electronic device, characterized in that, Including: One or more processors and a memory storing a program, the program includes instructions, and the instructions, when executed by the processor, cause the processor to execute the method according to any one of claims 1 to 8.

10. A wind-solar hydrogen production and ammonia synthesis system, characterized in that, The wind-solar hydrogen production and synthetic ammonia system includes a wind-solar hydrogen production subsystem, a synthetic ammonia subsystem, and a coordination controller. The coordination controller is respectively connected to the wind-solar hydrogen production subsystem and the synthetic ammonia subsystem. The synthetic ammonia subsystem includes a hydrogen storage tank. The synthetic ammonia subsystem is connected to the wind-solar hydrogen production subsystem through the hydrogen storage tank. The coordination controller is used to execute the method according to any one of claims 1 to 8.

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