New energy ammonia production combined thermal power hierarchical scheduling optimization method and system

Abstract

The invention discloses a new energy ammonia production and thermal power combined hierarchical scheduling optimization method and system, and relates to the field of new energy hydrogen production and ammonia production, and the method comprises the steps: constructing a new energy hydrogen production ammonia synthesis and thermal power combined system, employing a multi-objective optimization method to establish an upper-layer coordinated operation optimization model, and establishing a lower-layer scheduling optimization model, taking wind power, photovoltaic and load prediction values as input data, and adopting a new energy ammonia production combined thermal power upper-layer coordinated operation optimization model to optimize the binding proportion of the new energy ammonia production combined thermal power dispatching to obtain an optimal value of the binding proportion of the new energy ammonia production combined thermal power dispatching; and performing simulation optimization by taking the data as input data of a new energy ammonia production combined thermal power lower-layer scheduling optimization model to obtain operation power of each unit of the new energy ammonia production combined thermal power system, and guiding the operation of the new energy ammonia production combined thermal power system. The economical efficiency, the safety and the environmental protection property of the new energy ammonia production combined thermal power system are considered, and the new energy hydrogen and ammonia production system can reliably and economically operate for a long time.

Description

Technical Field

[0001] The present application relates to the technical field of hydrogen and ammonia production from new energy sources, and in particular to a method and system for optimizing the stratified scheduling of ammonia production from new energy sources combined with thermal power. Background Art

[0002] Since my country's energy and power system is mainly based on coal-fired power generation, choosing suitable energy storage technology to build a wind-solar-fire-storage system and optimizing its scheduling is an important way to promote the realization of the "dual carbon" goal. Among the existing energy storage technologies, electricity-to-ammonia is more economical, safe and compatible with coal-fired power generation technology in terms of storage and transportation. Therefore, how to coordinate electricity and ammonia in the new energy ammonia combined thermal power system requires optimized decisions on the coordinated operation of the new energy ammonia combined thermal power system, so as to determine a reasonable scheduling plan for each unit in the system during operation, based on indicators such as the output volatility of thermal power units, the utilization rate of thermal power units and the energy abandonment rate, so as to achieve the safe, stable and economic operation of the new energy ammonia combined thermal power system. Although the operating indicators of thermal power units are well known, it is difficult to achieve the coordinated operation of ammonia-coal co-firing thermal power units and power-to-ammonia devices after coupling the power-to-ammonia technology. The main reason is that there is a lack of qualitative description of the coordinated operation indicators of the new energy ammonia production combined with thermal power systems, and its objectives are diverse and difficult to meet at the same time, which makes it difficult to formulate the optimal decision-making method for achieving the coordinated operation of the new energy ammonia production combined with thermal power systems. Summary of the invention

[0003] The purpose of this application is to provide a new energy ammonia production combined with thermal power layered scheduling optimization method and system, while taking into account the economy, safety and environmental protection of the new energy ammonia production combined with thermal power system, to meet the long-term reliable and economic operation needs of the new energy hydrogen and ammonia production system.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a method for optimizing the stratified scheduling of ammonia production from new energy sources combined with thermal power generation, the method comprising:

[0006] Construct a new energy ammonia production combined with thermal power generation system; the new energy ammonia production combined with thermal power generation system includes a wind turbine unit, a photovoltaic unit, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit;

[0007] Establish an optimization model for the coordinated operation of new energy ammonia production and thermal power generation;

[0008] Establish an optimization model for lower-level dispatch of new energy ammonia production combined with thermal power;

[0009] Obtain wind power, photovoltaic and load forecast data;

[0010] Based on the wind power, photovoltaic and load forecast values, the upper coordinated operation optimization model and the lower scheduling optimization model of the new energy ammonia production combined with thermal power are calculated to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system.

[0011] In the second aspect, the present application provides a new energy ammonia production combined with thermal power stratified scheduling system, the new energy ammonia production combined with thermal power stratified scheduling system is based on the new energy ammonia production combined with thermal power stratified scheduling optimization method, the new energy ammonia production combined with thermal power stratified scheduling system includes:

[0012] A construction unit is used to construct a new energy ammonia production combined thermal power system, wherein the new energy ammonia production combined thermal power system includes a wind turbine unit, a photovoltaic unit, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit; an upper-level coordinated operation optimization model of the new energy ammonia production combined thermal power is established, wherein the upper-level coordinated operation optimization system of the new energy ammonia production combined thermal power first evaluates the output volatility of the thermal power unit, the utilization rate of the thermal power unit, and the energy abandonment rate, and then uses a multi-objective optimization method to simulate and optimize; based on the upper-level optimization results, a lower-level scheduling optimization model of the new energy ammonia production combined thermal power is established;

[0013] An acquisition unit, used to acquire wind power, photovoltaic and load forecast value data;

[0014] The execution unit is used to calculate the upper-level coordinated operation optimization model and the lower-level scheduling optimization model of the new energy ammonia production combined with thermal power based on the wind power, photovoltaic and load forecast values, so as to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system.

[0015] The construction unit establishes the optimization goal of the optimization model of the upper coordinated operation of new energy ammonia combined with thermal power as max{x 1 μ+x 2 ψ-x 3 λ}

[0016] in:

[0017] μ is the output fluctuation of thermal power units;

[0018] ψ is the utilization rate of thermal power units;

[0019] λ is the energy abandonment rate;

[0020] x 1 、x 2 and x 3 are the weight coefficients of thermal power unit output volatility, thermal power unit utilization rate and energy abandonment rate;

[0021] The constraints are:

[0022]

[0023] in

[0024] P t wt,N and P t pv,N The output power of wind power and photovoltaic power directly supplies the power load demand during period t;

[0025] P t wt,pre and P t pv,pre is the predicted power of wind power and photovoltaic power in period t;

[0026] and is the minimum and maximum output power of the thermal power unit;

[0027] P t wt,ab and P t pv,ab are the abandoned wind power and abandoned solar power in period t respectively;

[0028] and are the maximum allowable abandonment rates for wind power and photovoltaic power, respectively;

[0029] P t th is the output power of the thermal power unit during period t;

[0030] P t load is the power demand of the electric load in period t;

[0031] The optimization goal of the new energy ammonia combined with thermal power lower-level scheduling optimization model is

[0032]

[0033] in:

[0034] C wt The operating cost of wind power;

[0035] C pv is the photovoltaic operation cost;

[0036] C th The operating cost of thermal power units;

[0037] C P2A The operating cost of electricity-to-ammonia conversion;

[0038] for the cost of carbon emissions;

[0039] C ep for environmental costs;

[0040] The constraints are:

[0041]

[0042] in

[0043] P t th,th are the power generation capacity of thermal power units in period t respectively;

[0044] γ t is the ammonia blending ratio of the thermal power unit during period t;

[0045] γ max is the maximum allowable ammonia blending ratio;

[0046] P t wt and P t pv are the actual output power of wind power and photovoltaic power in period t respectively;

[0047] and are the minimum and maximum power generation of thermal power units respectively;

[0048] are the climbing power of thermal power units respectively;

[0049] The above-mentioned establishment of a new energy ammonia production combined with thermal power upper coordinated operation optimization model, the formulation of a coordinated operation strategy, and the setting of weight coefficients for the three parts of thermal power unit output volatility, thermal power unit utilization rate and energy abandonment rate;

[0050] The calculation rule of the output fluctuation of the thermal power unit is:

[0051]

[0052] in

[0053] is the average output power of thermal power units;

[0054] The calculation rule of the utilization rate of the thermal power unit is:

[0055]

[0056] The calculation rule of the energy abandonment rate is:

[0057]

[0058] In a third aspect, the present application provides a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, the method for optimizing the stratified scheduling of new energy ammonia production combined with thermal power generation as described in any of the above items.

[0059] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0060] The present application discloses a method and system for optimizing the stratified scheduling of ammonia production from new energy and thermal power generation. By constructing the method and system for optimizing the stratified scheduling of ammonia production from new energy and thermal power generation, it helps the system of ammonia production from new energy and thermal power generation to take into account economy, safety and environmental protection during the scheduling process, and can achieve overall optimization of system scheduling better than conventional scheduling methods that only consider economy and ignore other aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0062] Figure 1 An application environment diagram of a new energy ammonia production combined with thermal power stratified scheduling optimization method provided in an embodiment of the present application;

[0063] Figure 2 A schematic flow chart of a method for optimizing the stratified scheduling of ammonia production from new energy combined with thermal power provided in one embodiment of the present application;

[0064] Figure 3 A schematic diagram of the structure of a new energy ammonia production combined with thermal power stratified scheduling system provided in one embodiment of the present application;

[0065] Figure 4 A schematic diagram of the functional modules of a new energy ammonia production combined with thermal power stratified scheduling system provided in one embodiment of the present application;

[0066] Reference numerals:

[0067] Construction unit 1, acquisition unit 2, execution unit 3. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0069] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0070] In an exemplary embodiment, Figure 1 As shown, the new energy ammonia production combined with thermal power stratified scheduling optimization method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, or it can be integrated on the server 104, or it can be placed on the cloud or other servers. The terminal 102 can send the data to be processed to the server 104. After the server 104 receives the data to be processed, the server 104 performs capacity planning of the hybrid hydrogen production system for the data to be processed, and obtains the optimal capacity planning scheme for the hybrid hydrogen production system. The server 104 can feedback the obtained optimal scheduling scheme to the terminal 102. In addition, in some embodiments, the optimization method for hierarchical scheduling of new energy ammonia production combined with thermal power generation can also be implemented separately by the server 104 or the terminal 102, such as the terminal 102 can directly target the data to be processed, or the server 104 can obtain the data to be processed from the data storage system, and optimize the hierarchical scheduling of the new energy ammonia production combined with thermal power generation system for the data to be processed.

[0071] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0072] In an exemplary embodiment, Figure 2 As shown, a method for optimizing the hierarchical scheduling of ammonia production combined with thermal power generation from new energy is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S1 to S6. Among them:

[0073] Step S1, construct a new energy ammonia production combined with thermal power system, such as Figure 3 As shown, the new energy ammonia production combined thermal power system includes a renewable energy generator set, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit;

[0074] Step S2, establishing a new energy ammonia production combined with thermal power upper layer coordinated operation optimization model, the new energy ammonia production combined with thermal power upper layer coordinated operation optimization system first evaluates the output volatility of thermal power units, the utilization rate of thermal power units, and the energy abandonment rate, and then uses a multi-objective optimization method to simulate and optimize;

[0075] As an optional implementation, in step S2, the optimization goal of the new energy ammonia production combined with thermal power upper layer coordinated operation model is:

[0076] max{x 1 μ+x 2 ψ-x 3 λ}(1)

[0077] in:

[0078] μ is the output fluctuation of thermal power units;

[0079] ψ is the utilization rate of thermal power units;

[0080] λ is the energy abandonment rate;

[0081] x 1 、x 2 and x 3 are the weight coefficients of thermal power unit output volatility, thermal power unit utilization rate and energy abandonment rate;

[0082] The output fluctuation of the thermal power unit is:

[0083]

[0084] in

[0085] is the average output power of thermal power units;

[0086] The utilization rate of the thermal power unit is:

[0087]

[0088] The energy abandonment rate is:

[0089]

[0090] The constraints of the new energy ammonia production combined with thermal power upper coordinated operation model are:

[0091]

[0092] in:

[0093] P t wt,N and P t pv,NThe output power of wind power and photovoltaic power directly supplies the power load demand during period t;

[0094] P t wt,pre and P t pv,pre Forecast power of wind power and photovoltaic power;

[0095] and is the minimum and maximum output power of the thermal power unit;

[0096] P t wt,ab and P t pv,ab are the abandoned wind power and abandoned solar power in period t respectively;

[0097] and are the maximum allowable abandonment rates for wind power and photovoltaic power, respectively;

[0098] P t th is the output power of the thermal power unit during period t;

[0099] P t load is the power demand of the electric load in period t;

[0100] Step S3, establishing a new energy ammonia production combined with thermal power lower-level dispatch optimization model;

[0101] As an optional implementation, in step S3, the objective function of the lower-level scheduling optimization model of new energy ammonia production combined with thermal power is:

[0102]

[0103] in:

[0104] C wt The operating cost of wind power;

[0105] C pv is the photovoltaic operation cost;

[0106] C th The operating cost of thermal power units;

[0107] C P2A The operating cost of electricity-to-ammonia conversion;

[0108] for the cost of carbon emissions;

[0109] C ep for environmental costs;

[0110] The constraints of the optimization model for the lower-level dispatch of the new energy ammonia production combined with thermal power are:

[0111]

[0112] in:

[0113] P t th,th are the power generation capacity of thermal power units in period t respectively;

[0114] γ t is the ammonia blending ratio of the thermal power unit during period t;

[0115] γ max is the maximum allowable ammonia blending ratio;

[0116] P t wt and P t pv are the actual output power of wind power and photovoltaic power in period t respectively;

[0117] and are the minimum and maximum power generation of thermal power units respectively;

[0118] are the climbing power of thermal power units respectively;

[0119] Step S4, obtaining wind power, photovoltaic and load forecast values; Step S5, based on the wind power, photovoltaic and load forecast values, calculating the upper coordinated operation optimization model and the lower scheduling optimization model of the new energy ammonia production combined with thermal power, to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system;

[0120] Beneficial effects of this application:

[0121] 1) This application considers combining electricity-to-ammonia and ammonia-coal co-combustion technologies, which will help promote the consumption of wind and solar power and the low-carbon development of energy and power systems.

[0122] 2) The proposed optimization method for the stratified scheduling of renewable energy ammonia production combined with thermal power takes into account the output volatility, utilization rate and energy abandonment rate of thermal power units, and improves the safety and stability of operation while optimizing the economic efficiency of system scheduling.

[0123] Based on the same inventive concept, the embodiment of the present application also provides a new energy ammonia production combined with thermal power stratified scheduling optimization system for realizing the above-mentioned new energy ammonia production combined with thermal power stratified scheduling optimization method. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiment of the new energy ammonia production combined with thermal power stratified scheduling optimization system provided below can be referred to the above limitations on the capacity planning method of the hybrid hydrogen production system taking into account the overload operation and life attenuation of the electrolyzer, which will not be repeated here.

[0124] In an exemplary embodiment, Figure 4 As shown, a new energy ammonia production combined with thermal power stratified scheduling optimization system is provided, including:

[0125] A construction unit is used to construct a new energy ammonia production combined thermal power system, wherein the new energy ammonia production combined thermal power system includes a wind turbine unit, a photovoltaic unit, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit; an upper-level coordinated operation optimization model of the new energy ammonia production combined thermal power is established, wherein the upper-level coordinated operation optimization system of the new energy ammonia production combined thermal power first evaluates the output volatility of the thermal power unit, the utilization rate of the thermal power unit, and the energy abandonment rate, and then uses a multi-objective optimization method to simulate and optimize; based on the upper-level optimization results, a lower-level scheduling optimization model of the new energy ammonia production combined thermal power is established;

[0126] An acquisition unit, used to acquire wind power, photovoltaic and load forecast value data;

[0127] The execution unit is used to calculate the upper-level coordinated operation optimization model and the lower-level scheduling optimization model of the new energy ammonia production combined with thermal power based on the wind power, photovoltaic and load forecast values, so as to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system.

[0128] The construction unit establishes the optimization goal of the optimization model of the upper coordinated operation of new energy ammonia combined with thermal power as max{x 1 μ+x 2 ψ-x 3 λ}

[0129] in:

[0130] μ is the output fluctuation of thermal power units;

[0131] ψ is the utilization rate of thermal power units;

[0132] λ is the energy abandonment rate;

[0133] x 1 、x 2 and x 3 are the weight coefficients of thermal power unit output volatility, thermal power unit utilization rate and energy abandonment rate;

[0134] The constraints are:

[0135]

[0136] in

[0137] P t wt,N and P t pv,N The output power of wind power and photovoltaic power directly supplies the power load demand during period t;

[0138] P t wt,pre and P t pv,pre is the predicted power of wind power and photovoltaic power in period t;

[0139] and is the minimum and maximum output power of the thermal power unit;

[0140] P t wt,ab and P t pv,ab are the abandoned wind power and abandoned solar power in period t respectively;

[0141] and are the maximum allowable abandonment rates for wind power and photovoltaic power, respectively;

[0142] P t th is the output power of the thermal power unit during period t;

[0143] P t load is the power demand of the electric load in period t;

[0144] The optimization goal of the new energy ammonia combined with thermal power lower-level scheduling optimization model is

[0145]

[0146] in:

[0147] C wt The operating cost of wind power;

[0148] C pv is the photovoltaic operation cost;

[0149] C th The operating cost of thermal power units;

[0150] C P2A The operating cost of electricity-to-ammonia conversion;

[0151] for the cost of carbon emissions;

[0152] C ep for environmental costs;

[0153] The constraints are:

[0154]

[0155] in

[0156] P t th,th are the power generation capacity of thermal power units in period t respectively;

[0157] γ t is the ammonia blending ratio of the thermal power unit during period t;

[0158] γ max is the maximum allowable ammonia blending ratio;

[0159] P t wt and P t pv are the actual output power of wind power and photovoltaic power in period t respectively;

[0160] and are the minimum and maximum power generation of thermal power units respectively;

[0161] are the climbing power of thermal power units respectively;

[0162] The above-mentioned establishment of a new energy ammonia production combined with thermal power upper coordinated operation optimization model, the formulation of a coordinated operation strategy, and the setting of weight coefficients for the three parts of thermal power unit output volatility, thermal power unit utilization rate and energy abandonment rate;

[0163] The calculation rule of the output fluctuation of the thermal power unit is:

[0164]

[0165] in

[0166] is the average output power of thermal power units;

[0167] The calculation rule of the utilization rate of the thermal power unit is:

[0168]

[0169] The calculation rule of the energy abandonment rate is:

[0170]

[0171] In an exemplary embodiment, a computer storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, a method for optimizing the stratified scheduling of ammonia production from new energy combined with thermal power is implemented.

[0172] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0173] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0174] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0175] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0176] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for optimizing the hierarchical scheduling of ammonia production from new energy combined with thermal power, characterized in that: The optimization method for stratified scheduling of new energy ammonia production combined with thermal power includes: Construct a new energy ammonia production combined thermal power system, which includes a wind turbine, a photovoltaic unit, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit; Establish a new energy ammonia production combined with thermal power upper coordinated operation optimization model, the new energy ammonia production combined with thermal power upper coordinated operation optimization system first evaluates the output volatility of thermal power units, the utilization rate of thermal power units, and the energy abandonment rate, and then uses a multi-objective optimization method to simulate and optimize; Based on the upper optimization results, a lower-level dispatch optimization model for new energy ammonia production combined with thermal power is established; Obtain wind power, photovoltaic and load forecast data; Based on the wind power, photovoltaic and load forecast values, the upper coordinated operation optimization model and the lower scheduling optimization model of the new energy ammonia production combined with thermal power are calculated to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system.

2. The optimization method for stratified scheduling of ammonia production from new energy combined with thermal power according to claim 1 is characterized in that: The optimization goal of the optimization model for the coordinated operation of new energy ammonia production and thermal power upper layer is: max{x1μ+x2ψ-x3λ} in: μ is the output fluctuation of thermal power units; ψ is the utilization rate of thermal power units; λ is the energy abandonment rate; x1, x2 and x3 are the weight coefficients of the output volatility of thermal power units, the utilization rate of thermal power units and the energy abandonment rate respectively; The constraints are: in: and The output power of wind power and photovoltaic power directly supplies the power load demand during period t; and is the predicted power of wind power and photovoltaic power in period t; and is the minimum and maximum output power of the thermal power unit; and are the abandoned wind power and abandoned solar power in period t respectively; and are the maximum allowable abandonment rates for wind power and photovoltaic power, respectively; is the output power of the thermal power unit during period t; is the power demand of the electric load in period t; The optimization goal of the new energy ammonia combined with thermal power lower-level scheduling optimization model is in: C wt The operating cost of wind power; C pv is the photovoltaic operation cost; C th The operating cost of thermal power units; C P2A The operating cost of electricity-to-ammonia conversion; for the cost of carbon emissions; C ep for environmental costs; The constraints are: in: are the power generation capacity of thermal power units in period t respectively; γ t is the ammonia blending ratio of the thermal power unit during period t; γ max is the maximum allowable ammonia blending ratio; and are the actual output power of wind power and photovoltaic power in period t respectively; and are the minimum and maximum power generation of thermal power units respectively; are the climbing power of thermal power units respectively.

3. The optimization method for upper-level coordinated operation of new energy ammonia production combined with thermal power according to claim 2 is characterized in that: Formulate a coordinated operation strategy, set weight coefficients for the output volatility of thermal power units, the utilization rate of thermal power units, and the energy abandonment rate; the calculation rule for the output volatility of thermal power units is: in: is the average output power of thermal power units; The calculation rule of the utilization rate of the thermal power unit is: The calculation rule of the energy abandonment rate is:

4. A new energy ammonia production combined with thermal power layered scheduling optimization system, characterized in that: include: A construction unit is used to construct a new energy ammonia production combined thermal power system, wherein the new energy ammonia production combined thermal power system includes a wind turbine unit, a photovoltaic unit, an electrolyzer, an air separator, a Haber ammonia synthesis system and a thermal power unit; an upper-level coordinated operation optimization model of the new energy ammonia production combined thermal power is established, wherein the upper-level coordinated operation optimization system of the new energy ammonia production combined thermal power first evaluates the output volatility of the thermal power unit, the utilization rate of the thermal power unit, and the energy abandonment rate, and then uses a multi-objective optimization method to simulate and optimize; based on the upper-level optimization results, a lower-level scheduling optimization model of the new energy ammonia production combined thermal power is established; An acquisition unit, used to acquire wind power, photovoltaic and load forecast value data; The execution unit is used to calculate the upper-level coordinated operation optimization model and the lower-level scheduling optimization model of the new energy ammonia production combined with thermal power based on the wind power, photovoltaic and load forecast values, so as to obtain the operating power of each unit of the new energy ammonia production combined with thermal power system.

5. A new energy ammonia production combined with thermal power stratified scheduling optimization system according to claim 4, characterized in that: The construction unit establishes the optimization goal of the optimization model of the upper coordinated operation of new energy ammonia combined with thermal power as max{x1μ+x2ψ-x3λ} in: μ is the output fluctuation of thermal power units; ψ is the utilization rate of thermal power units; λ is the energy abandonment rate; x1, x2 and x3 are the weight coefficients of the output fluctuation of thermal power units, the utilization rate of thermal power units and the energy abandonment rate respectively; the constraints are: in: and The output power of wind power and photovoltaic power directly supplies the power load demand during period t; and is the predicted power of wind power and photovoltaic power in period t; and is the minimum and maximum output power of the thermal power unit; and are the abandoned wind power and abandoned solar power in period t respectively; and are the maximum allowable abandonment rates for wind power and photovoltaic power, respectively; is the output power of the thermal power unit during period t; is the power demand of the electric load in period t; The optimization goal of the new energy ammonia combined with thermal power lower-level scheduling optimization model is in: C wt The operating cost of wind power; C pv is the photovoltaic operation cost; C th The operating cost of thermal power units; C P2A The operating cost of electricity-to-ammonia conversion; for the cost of carbon emissions; C ep for environmental costs; The constraints are: in: are the power generation capacity of thermal power units in period t respectively; γ t is the ammonia blending ratio of the thermal power unit during period t; γ max is the maximum allowable ammonia blending ratio; and are the actual output power of wind power and photovoltaic power in period t respectively; and are the minimum and maximum power generation of thermal power units respectively; are the climbing power of thermal power units respectively.

6. The system for optimizing the upper-level coordinated operation of new energy ammonia production combined with thermal power according to claim 5 is characterized in that: Formulate a coordinated operation strategy and set weight coefficients for the output volatility of thermal power units, the utilization rate of thermal power units, and the energy abandonment rate; The calculation rule of the output fluctuation of the thermal power unit is: in is the average output power of thermal power units; The calculation rule of the utilization rate of the thermal power unit is: The calculation rule of the energy abandonment rate is:

7. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for optimizing layered scheduling of ammonia production combined with thermal power generation from new energy as described in any one of claims 1 to 3 is implemented.

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