Light-storage-carbon integrated virtual power plant scheduling method and system based on hydrogen production scene

Abstract

The invention discloses a hydrogen production scene-based light-storage-carbon integrated virtual power plant scheduling method and system, and relates to the technical field of new energy and energy conservation, and the method comprises the steps: dividing resource supply states, and making a virtual power plant scheduling strategy and a hydrogen energy system production plan according to different resource supply states. An external power grid, a carbon capture device and a virtual power plant cooperatively drive an electrolytic cell to produce hydrogen and carbon monoxide, the operating power and carbon resource supply of the electrolytic cell are adjusted in different resource supply states, and photovoltaic equipment generates direct current under solar radiation and stores the direct current to capture carbon dioxide from ambient air; and the carbon dioxide is transmitted to the electrolytic cell for reaction, and redundant carbon dioxide resources are stored in the virtual power plant. Multiple energy storage modes and discharging modes are set, the corresponding modes are selected according to the actual requirements of energy storage and discharging, and waste of electric energy is reduced as much as possible while the requirements of energy storage and discharging are met.

Description

Technical Field

[0001] The present invention relates to the field of new energy and energy-saving technologies, and in particular to a method and system for scheduling a virtual power plant integrating photovoltaic and carbon storage based on a hydrogen production scenario. Background Art

[0002] With the transformation of the global energy structure and the increasing attention paid to environmental protection, the use of renewable energy and the development of the hydrogen energy industry have become research hotspots. Photovoltaic power generation, as a clean and renewable form of energy, has made significant progress in technology, but limited by the unpredictability of weather and time, the volatility and intermittency of photovoltaic power generation have become key issues restricting its large-scale application. At the same time, as an efficient energy carrier, the energy consumption and cost of hydrogen energy in its production process have always been the focus of technological breakthroughs. The existing virtual power plant technology integrates multiple energy resources to achieve efficient energy management and optimized scheduling, but there are still many shortcomings in its application in hydrogen production scenarios.

[0003] Carbon capture, storage and utilization (CCUS) and renewable energy technologies reduce carbon emissions from the end and source respectively, and are important technical paths for low-carbon transformation in the energy field. Hydrogen synthetic fuels provide an alternative solution to the use of fossil fuels. The use of extracted carbon dioxide to prepare hydrogen synthetic fuels can not only decarbonize the energy system, but also play the role of a long-term energy storage medium. Through flexible system scheduling, the supply and demand of electricity, materials and energy in the hydrogen synthesis process can be predicted and adjusted in real time to improve the flexibility and efficiency of the system. In addition, the application of multi-energy complementary systems is gradually advancing, and the flexibility and adaptability of the hydrogen production process are enhanced by combining power grids, renewable energy and energy storage systems. In operating scenarios such as limited power supply capacity of the power grid, the existing scheduling strategy of hydrogen fuel synthesis systems based on stable power supply is difficult to cope with factors such as insufficient energy output and insufficient material supply. In various situations where the electricity and carbon reserves are different at different times, it is difficult to achieve efficient and flexible resource scheduling, resulting in large resource waste and low efficiency of hydrogen energy systems. Summary of the invention

[0004] In view of the above-mentioned existing problems, the present invention provides a virtual power plant scheduling method and system for an integrated photovoltaic and carbon storage system based on a hydrogen production scenario, so as to solve the problems of low energy utilization rate and low hydrogen production efficiency in the prior art, failure to achieve effective coordination between carbon capture and hydrogen production, and inability to formulate optimal scheduling plans for different energy supply situations.

[0005] In order to solve the above technical problems, a virtual power plant scheduling method based on the scenario of hydrogen production with integrated photovoltaic and carbon storage is proposed, including:

[0006] Divide the resource supply status, and formulate the virtual power plant dispatch strategy and hydrogen energy system production plan according to different resource supply status; drive the electrolyzer through the external power grid, carbon capture device and virtual power plant to produce hydrogen and carbon monoxide, and adjust the operating power and carbon resource supply of the electrolyzer under different resource supply status; photovoltaic equipment generates direct current under sunlight radiation and stores it, captures carbon dioxide from the ambient air, and transmits it to the electrolyzer for reaction, and stores excess carbon dioxide resources in the virtual power plant.

[0007] As a preferred solution of the photovoltaic-carbon storage integrated virtual power plant scheduling method based on the hydrogen production scenario described in the present invention, wherein: the division of resource supply status includes real-time monitoring of the power supply status of the power grid and the carbon resource supply status of the carbon capture system, setting power and carbon resource supply thresholds, and dividing the resource supply status of the power grid and the hydrogen energy synthesis system into four situations: sufficient power supply and sufficient carbon resource supply, insufficient power supply but sufficient carbon resource supply, sufficient power supply but insufficient carbon resource supply, and insufficient power supply and insufficient carbon resource supply;

[0008] When the real-time monitored power grid's power supply is greater than or equal to the power supply threshold, the resource supply status is judged to be sufficient power supply; when the real-time monitored power grid's power supply is less than the power supply threshold, the resource supply status is judged to be insufficient power supply; when the real-time monitored carbon resource supply of the carbon capture system is greater than or equal to the carbon resource supply threshold, the resource supply status is judged to be sufficient carbon resource supply; when the real-time monitored carbon resource supply of the carbon capture system is less than the carbon resource supply threshold, the resource supply status is judged to be insufficient carbon resource supply.

[0009] As a preferred solution of the photovoltaic and carbon storage integrated virtual power plant scheduling method based on the hydrogen production scenario described in the present invention, the production plan includes: formulating a virtual power plant scheduling strategy using a multi-objective optimization model according to different resource supply states, and optimizing the hydrogen energy system production plan using a hydrogen energy production efficiency model to produce hydrogen and carbon monoxide;

[0010] The multi-objective optimization model includes combining an improved particle swarm optimization algorithm to find the global optimal virtual power plant scheduling strategy in the search space, and the formula is expressed as:

[0011] f(x)=w1*f1(E)+w2*f2(C)+w3*f3(H)

[0012] Among them, f1(E) is the electricity dispatch cost, f2(C) is the carbon resource dispatch cost, f3(H) is the penalty function for insufficient hydrogen production, and w1, w2 and w3 are weight coefficients;

[0013] The hydrogen production efficiency model formula is expressed as:

[0014]

[0015] Among them, η(E,C) is the hydrogen production efficiency, η0 is the benchmark efficiency, E0 is the benchmark electricity, C0 is the carbon resource supply, α and β are efficiency influence coefficients, E is the electrical energy input for hydrogen production, and C is the carbon resource input for hydrogen production.

[0016] As a preferred scheme of the virtual power plant scheduling method of integrated photovoltaic storage and carbon based on hydrogen production scenario described in the present invention, wherein: the formulation of virtual power plant scheduling strategy also includes, when the electricity supply is sufficient and the carbon resource supply is sufficient, maximizing hydrogen production and storing electricity and carbon resources at the same time; when the electricity supply is insufficient but the carbon resource supply is sufficient, giving priority to ensuring hydrogen production and supplementing the electricity shortage through grid scheduling; when the electricity supply is sufficient but the carbon resource supply is insufficient, optimizing the operation efficiency of the electrolyzer and reducing the consumption of carbon resources; when the electricity supply is insufficient and the carbon resource supply is insufficient, implementing emergency scheduling and reducing hydrogen production.

[0017] As a preferred solution of the photovoltaic carbon storage integrated virtual power plant scheduling method based on the hydrogen production scenario described in the present invention, wherein: the coordinated driving of the electrolyzer includes coordinated driving of the electrolyzer by an external power grid, a carbon capture device and a virtual power plant;

[0018] When the power supply is sufficient and the carbon resource supply is sufficient, the external power grid provides power to drive the electrolyzer, and the excess carbon dioxide obtained by the carbon capture device is stored in the carbon dioxide storage device of the virtual power plant. The power supply system operation constraints are characterized as follows:

[0019] P ele =P Grid

[0020] Among them, P ele is the operating power of the electrolytic cell, P Grid Supply power to the grid;

[0021] The constraints on carbon resource flow and demand relationship are characterized as follows:

[0022] C cap =C ele-demand +C vpp

[0023] C ele-demand =P ele α r

[0024] Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant, P ele is the electrolytic cell operating power, αr is the correlation coefficient between the carbon demand of the electrolyzer and the operating power of the electrolyzer;

[0025] The production relationship of the hydrogen energy synthesis system is characterized as follows:

[0026]

[0027] in, is the amount of hydrogen produced by the system, P ele is the electrolytic cell operating power, α ele is the correlation coefficient between hydrogen production and electrolyzer operating power.

[0028] As a preferred solution of the photovoltaic-carbon storage integrated virtual power plant scheduling method based on the hydrogen production scenario described in the present invention, wherein: the adjustment of the operating power and carbon resource supply of the electrolyzer includes, when the power supply is insufficient or the carbon resource supply is insufficient, adjusting the power supply system operation constraint representation and the carbon resource flow relationship constraint representation, and then adjusting the operating power and carbon resource supply of the electrolyzer;

[0029] When the power supply is insufficient but the carbon resource supply is sufficient, the external power grid cannot support the power demand of the electrolyzer operation. It is necessary to coordinate the power supply with the power grid through the virtual power plant power dispatch. The carbon resources obtained by the carbon capture device are sufficient to meet the carbon dioxide feed demand of the electrolysis process. The excess carbon dioxide obtained by the carbon capture device is guided and stored in the carbon dioxide storage device in the virtual power plant. At this time, the carbon resource flow and demand relationship constraint representation and the hydrogen energy synthesis system production relationship representation are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The power supply system operation constraint representation is:

[0030] P ele =P Grid +P vpp

[0031] Among them, P ele is the operating power of the electrolytic cell, P Grid Supply power to the grid, P vpp Dispatching power supply for photovoltaic and energy storage in virtual power plants;

[0032] When the power supply is sufficient but the carbon resource supply is insufficient, the external power grid power supply is sufficient to support the electricity demand of the electrolyzer operation, but the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, the carbon dioxide is supplied by the virtual power plant carbon resource scheduling and carbon capture in coordination. The power supply system operation constraint characterization, the carbon demand characterization of the electrolyzer and the production relationship characterization of the hydrogen energy synthesis system are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The carbon resource flow relationship constraint characterization is:

[0033] C ele-demand =C cap +C vpp

[0034] Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant;

[0035] When the electricity supply is insufficient and the carbon resource supply is insufficient, the power supply from the external power grid cannot support the electricity demand of the electrolyzer operation. At this time, the virtual power plant power dispatch is used to coordinate the power supply with the power grid. At the same time, the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, carbon dioxide is supplied through the virtual power plant carbon resource dispatch and carbon capture.

[0036] As a preferred solution of the photovoltaic-carbon storage integrated virtual power plant scheduling method based on the hydrogen production scenario described in the present invention, wherein: the generation of direct current includes that the photovoltaic device converts solar energy into direct current through the photoelectric effect under sunlight radiation, the surface material of the photovoltaic panel absorbs photon energy, releases electrons, and forms current, and the direct current output by the photovoltaic device is transmitted to the energy storage system through a cable for storage;

[0037] The carbon dioxide capture method includes starting a carbon capture device, capturing carbon dioxide from ambient air through physical adsorption, chemical absorption and membrane separation, compressing and converting the captured carbon dioxide into liquid, and supplying it to an electrolyzer through a pipeline. The carbon dioxide in the electrolyzer reacts with water to produce hydrogen and carbon monoxide through electrolysis. When the carbon dioxide captured by the carbon capture device exceeds the immediate demand of the electrolyzer, the excess carbon dioxide is stored.

[0038] Another object of the present invention is to provide an integrated photovoltaic and carbon storage virtual power plant dispatching system based on hydrogen production scenarios. The present invention realizes efficient conversion and comprehensive utilization of energy, and improves the efficiency of hydrogen energy production. The system of the present invention effectively improves energy utilization and reduces energy waste by integrating photovoltaic power generation, electrical energy storage, carbon capture and hydrogen energy production. It also reduces environmental impact through effective management of carbon resources and realizes the production of clean energy. The intelligent management and resource reserve capacity of the system further improve economic benefits and provide emergency dispatch guarantees when resource supply is insufficient.

[0039] As a preferred solution of the photovoltaic and carbon storage integrated virtual power plant scheduling system based on the hydrogen production scenario described in the present invention, it is characterized by including a resource supply status division module, a strategy formulation module, an electrolyzer collaborative drive module, a photovoltaic power generation and energy storage module, and a carbon capture and carbon resource management module.

[0040] The resource supply status classification module is used to monitor the power supply status of the power grid and the carbon resource supply status of the carbon capture system in real time, and classify the resource supply status into four situations according to the set threshold value.

[0041] The strategy formulation module is used to formulate a scheduling strategy for a virtual power plant and a production plan for a hydrogen energy system according to different resource supply states by using a multi-objective optimization model and a hydrogen energy production efficiency model.

[0042] The electrolyzer collaborative drive module is used to drive the electrolyzer to operate through the collaborative work of an external power grid, a carbon capture device and a virtual power plant, produce hydrogen and carbon monoxide, and adjust the operating power and carbon resource supply of the electrolyzer according to the resource supply status.

[0043] The photovoltaic power generation and energy storage module is used to generate direct current under sunlight radiation using photovoltaic equipment, and transmit it to the energy storage system for storage via cables, so as to release electric energy when there is insufficient sunlight or peak demand, thereby balancing the supply and demand of electricity.

[0044] The carbon capture and carbon resource management module is used to capture carbon dioxide from ambient air using a carbon capture device, compress and convert it into liquid, and supply it to the electrolyzer for hydrogen energy production. At the same time, it manages the remaining carbon dioxide resources and stores them in a virtual power plant.

[0045] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method described in the scheduling of a photovoltaic and carbon storage integrated virtual power plant based on a hydrogen production scenario are implemented.

[0046] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method described in the scheduling of a photovoltaic and carbon storage integrated virtual power plant based on a hydrogen production scenario are implemented.

[0047] Beneficial effects of the present invention: The present invention, through the integrated photovoltaic-storage-carbon virtual power plant system, can flexibly dispatch the electric energy and carbon resources required for hydrogen energy production, fully integrate various energy flow relationships, optimize the configuration and dispatch of resources, and flexibly select the most appropriate dispatch strategy according to different resource supply conditions; when the power supply is sufficient, the system can make full use of the stable power supply of the power grid to maximize the production of hydrogen energy; when the electric energy is insufficient, the virtual power plant can give full play to the dispatching capacity to ensure the continuity and stability of hydrogen energy production; at the same time, when the carbon resources are sufficient, the system can efficiently utilize the captured carbon dioxide for hydrogen energy synthesis; when the carbon resources are insufficient, the virtual power plant is used to optimize the use and recovery of carbon resources to ensure the continuous operation of the system and avoid waste of resources; the present invention can not only ensure the stable operation of the hydrogen energy production system under different resource supply conditions, but also maximize the utilization efficiency of resources, reduce energy waste, optimize the economy of the system, and reduce dependence on traditional power systems by effectively alleviating the power supply pressure of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0049] Figure 1 An overall flow chart of a method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario provided in one embodiment of the present invention.

[0050] Figure 2 A schematic diagram of a photovoltaic-storage-carbon integrated virtual power plant scheduling method based on a hydrogen production scenario provided in one embodiment of the present invention.

[0051] Figure 3 A system solution flow chart of a virtual power plant scheduling system for an integrated photovoltaic and carbon storage system based on a hydrogen production scenario provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0053] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0055] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0056] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0057] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for scheduling a photovoltaic and carbon storage integrated virtual power plant based on a hydrogen production scenario, including:

[0059] S1: Divide the resource supply status and formulate the virtual power plant scheduling strategy and hydrogen energy system production plan according to different resource supply status.

[0060] The resource supply status classification includes real-time monitoring of the power supply status of the power grid and the carbon resource supply status of the carbon capture system, setting power supply and carbon resource supply thresholds, and classifying the resource supply status of the power grid and the hydrogen energy synthesis system into four situations: sufficient power supply and sufficient carbon resource supply, insufficient power supply but sufficient carbon resource supply, sufficient power supply but insufficient carbon resource supply, and insufficient power supply and insufficient carbon resource supply;

[0061] When the real-time monitored power grid's power supply is greater than or equal to the power supply threshold, the resource supply status is judged to be sufficient power supply; when the real-time monitored power grid's power supply is less than the power supply threshold, the resource supply status is judged to be insufficient power supply; when the real-time monitored carbon resource supply of the carbon capture system is greater than or equal to the carbon resource supply threshold, the resource supply status is judged to be sufficient carbon resource supply; when the real-time monitored carbon resource supply of the carbon capture system is less than the carbon resource supply threshold, the resource supply status is judged to be insufficient carbon resource supply.

[0062] It should be noted that the production plan includes formulating a virtual power plant scheduling strategy using a multi-objective optimization model according to different resource supply states, and optimizing the hydrogen energy system production plan using a hydrogen energy production efficiency model to produce hydrogen and carbon monoxide;

[0063] The multi-objective optimization model includes combining an improved particle swarm optimization algorithm to find the global optimal virtual power plant scheduling strategy in the search space, and the formula is expressed as:

[0064] f(x)=w1*f1(E)+w2*f2(C)+w3*f3(H)

[0065] Among them, f1(E) is the electricity dispatch cost, f2(C) is the carbon resource dispatch cost, f3(H) is the penalty function for insufficient hydrogen production, and w1, w2 and w3 are weight coefficients;

[0066] The hydrogen production efficiency model formula is expressed as:

[0067]

[0068] Among them, η(E,C) is the hydrogen production efficiency, η0 is the benchmark efficiency, E0 is the benchmark electricity, C0 is the carbon resource supply, α and β are efficiency influence coefficients, E is the electrical energy input for hydrogen production, and C is the carbon resource input for hydrogen production.

[0069] It should also be noted that the formulation of the virtual power plant dispatching strategy also includes, when the electricity supply is sufficient and the carbon resource supply is sufficient, maximizing hydrogen production and simultaneously storing electricity and carbon resources; when the electricity supply is insufficient but the carbon resource supply is sufficient, giving priority to ensuring hydrogen production and supplementing the electricity shortage through grid dispatch; when the electricity supply is sufficient but the carbon resource supply is insufficient, optimizing the electrolyzer operation efficiency and reducing carbon resource consumption; when the electricity supply is insufficient and the carbon resource supply is insufficient, implementing emergency dispatch and reducing hydrogen production.

[0070] S2: The electrolyzer is driven collaboratively by the external power grid, carbon capture device and virtual power plant to produce hydrogen and carbon monoxide, and the operating power and carbon resource supply of the electrolyzer are adjusted under different resource supply conditions.

[0071] Further, such as Figure 2 , the electrolyzer is driven by the external power grid, carbon capture device and virtual power plant; when the power supply is sufficient and the carbon resource supply is sufficient, the external power grid provides power to drive the electrolyzer, and the excess carbon dioxide obtained by the carbon capture device is stored in the carbon dioxide storage device of the virtual power plant. The power supply system operation constraints are characterized as follows:

[0072] P ele =P Grid

[0073] Among them, P ele is the operating power of the electrolytic cell, P Grid Supply power to the grid;

[0074] The constraints on carbon resource flow and demand relationship are characterized as follows:

[0075] C cap =C ele-demand +C vpp

[0076] C ele-demand =P ele α r

[0077] Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant, P ele is the electrolytic cell operating power, α r is the correlation coefficient between the carbon demand of the electrolyzer and the operating power of the electrolyzer;

[0078] The production relationship of the hydrogen energy synthesis system is characterized as follows:

[0079]

[0080] in, is the amount of hydrogen produced by the system, P ele is the electrolytic cell operating power, α ele is the correlation coefficient between hydrogen production and electrolyzer operating power.

[0081] Furthermore, the adjusting the operating power and carbon resource supply of the electrolyzer includes, when the power supply is insufficient or the carbon resource supply is insufficient, adjusting the power supply system operation constraint representation and the carbon resource flow relationship constraint representation, thereby adjusting the operating power and carbon resource supply of the electrolyzer;

[0082] When the power supply is insufficient but the carbon resource supply is sufficient, the external power grid cannot support the power demand of the electrolyzer operation. It is necessary to coordinate the power supply with the power grid through the virtual power plant power dispatch. The carbon resources obtained by the carbon capture device are sufficient to meet the carbon dioxide feed demand of the electrolysis process. The excess carbon dioxide obtained by the carbon capture device is guided and stored in the carbon dioxide storage device in the virtual power plant. At this time, the carbon resource flow and demand relationship constraint representation and the hydrogen energy synthesis system production relationship representation are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The power supply system operation constraint representation is:

[0083] P ele =P Grid +P vpp

[0084] Among them, P ele is the operating power of the electrolytic cell, P Grid Supply power to the grid, P vpp Dispatching power supply for photovoltaic and energy storage in virtual power plants;

[0085] When the power supply is sufficient but the carbon resource supply is insufficient, the external power grid power supply is sufficient to support the electricity demand of the electrolyzer operation, but the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, the carbon dioxide is supplied by the virtual power plant carbon resource scheduling and carbon capture in coordination. The power supply system operation constraint characterization, the carbon demand characterization of the electrolyzer and the production relationship characterization of the hydrogen energy synthesis system are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The carbon resource flow relationship constraint characterization is:

[0086] C ele-demand =C cap +C vpp

[0087] Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant;

[0088] When the power supply is insufficient and the carbon resource supply is insufficient, the external power grid power supply cannot support the power demand of the electrolyzer operation. At this time, the virtual power plant power dispatch is used to coordinate the power supply with the power grid; at the same time, the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, the virtual power plant carbon resource dispatch and carbon capture are used to coordinate the supply of carbon dioxide. The power supply system operation constraints are characterized as follows:

[0089] P ele =P Grid +P vpp

[0090] The constraints on carbon resource flow are characterized as follows:

[0091] C ele-demand =C cap +C vpp

[0092] The carbon demand of the electrolyser is characterized by:

[0093] C ele-demand =P ele α r

[0094] The production relationship of the hydrogen energy synthesis system is characterized as follows:

[0095]

[0096] Among them, P ele is the operating power of the electrolytic cell, P Grid Supply power to the grid, P vpp is the power supply dispatched by the photovoltaic and energy storage in the virtual power plant, C capThe amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant, α r is the correlation coefficient between the carbon demand of the electrolyzer and the operating power of the electrolyzer, α ele is the correlation coefficient between hydrogen production and electrolyzer operating power, The amount of hydrogen produced for the system.

[0097] S3: Photovoltaic equipment generates direct current electricity under sunlight radiation and stores it, captures carbon dioxide from the ambient air and transmits it to the electrolyzer for reaction, and stores excess carbon dioxide resources in a virtual power plant.

[0098] Furthermore, the generation of direct current includes that the photovoltaic device converts solar energy into direct current through the photoelectric effect under sunlight radiation, the surface material of the photovoltaic panel absorbs photon energy, releases electrons, forms current, and the direct current output by the photovoltaic device is transmitted to the energy storage system through a cable for storage;

[0099] The carbon dioxide capture method includes starting a carbon capture device, capturing carbon dioxide from ambient air through physical adsorption, chemical absorption and membrane separation, compressing and converting the captured carbon dioxide into liquid, and supplying it to an electrolyzer through a pipeline. The carbon dioxide in the electrolyzer reacts with water to produce hydrogen and carbon monoxide through electrolysis. When the carbon dioxide captured by the carbon capture device exceeds the immediate demand of the electrolyzer, the excess carbon dioxide is stored.

[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0101] Example 2, reference Figure 3 , which is the second embodiment of the present invention, provides a photovoltaic and carbon storage integrated virtual power plant scheduling system based on a hydrogen production scenario, including a resource supply state division module 100, a strategy formulation module 200, an electrolyzer collaborative drive module 300, a photovoltaic power generation and energy storage module 400, and a carbon capture and carbon resource management module 500.

[0102] The resource supply status classification module 100 is used to monitor the power supply status of the power grid and the carbon resource supply status of the carbon capture system in real time, and classify the resource supply status into four situations according to a set threshold.

[0103] The strategy formulation module 200 is used to formulate a scheduling strategy for a virtual power plant and a production plan for a hydrogen energy system according to different resource supply states by using a multi-objective optimization model and a hydrogen energy production efficiency model.

[0104] The electrolyzer collaborative drive module 300 is used to drive the electrolyzer to operate through the collaborative work of the external power grid, the carbon capture device and the virtual power plant, produce hydrogen and carbon monoxide, and adjust the operating power and carbon resource supply of the electrolyzer according to the resource supply status.

[0105] The photovoltaic power generation and energy storage module 400 is used to generate direct current by photovoltaic equipment under sunlight radiation, and transmit it to the energy storage system through cables for storage, so as to release electric energy when there is insufficient sunlight or peak demand, and balance the supply and demand of electricity.

[0106] The carbon capture and carbon resource management module 500 is used to capture carbon dioxide from ambient air using a carbon capture device, compress and convert it into liquid, and supply it to the electrolyzer for hydrogen energy production. At the same time, it manages the remaining carbon dioxide resources and stores them in the virtual power plant.

[0107] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0108] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0109] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0111] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0112] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Claims

1. A method for scheduling a virtual power plant based on a hydrogen production scenario using integrated photovoltaic and carbon storage, characterized in that: include, Divide resource supply status and formulate virtual power plant dispatch strategy and hydrogen energy system production plan according to different resource supply status; The electrolyzer is driven by the external power grid, carbon capture device and virtual power plant to produce hydrogen and carbon monoxide, and the operating power and carbon resource supply of the electrolyzer are adjusted under different resource supply conditions; Under sunlight radiation, photovoltaic equipment generates direct current electricity and stores it, captures carbon dioxide from the ambient air and transmits it to the electrolyzer for reaction, and stores excess carbon dioxide resources in a virtual power plant.

2. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 1, characterized in that: The resource supply status classification includes real-time monitoring of the power supply status of the power grid and the carbon resource supply status of the carbon capture system, setting power supply and carbon resource supply thresholds, and classifying the resource supply status of the power grid and the hydrogen energy synthesis system into four situations: sufficient power supply and sufficient carbon resource supply, insufficient power supply but sufficient carbon resource supply, sufficient power supply but insufficient carbon resource supply, and insufficient power supply and insufficient carbon resource supply; When the real-time monitored power grid's power supply is greater than or equal to the power supply threshold, the resource supply status is judged to be sufficient power supply; when the real-time monitored power grid's power supply is less than the power supply threshold, the resource supply status is judged to be insufficient power supply; when the real-time monitored carbon resource supply of the carbon capture system is greater than or equal to the carbon resource supply threshold, the resource supply status is judged to be sufficient carbon resource supply; when the real-time monitored carbon resource supply of the carbon capture system is less than the carbon resource supply threshold, the resource supply status is judged to be insufficient carbon resource supply.

3. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 2, characterized in that: The production plan includes formulating a virtual power plant scheduling strategy using a multi-objective optimization model according to different resource supply states, and optimizing the hydrogen energy system production plan using a hydrogen energy production efficiency model to produce hydrogen and carbon monoxide; The multi-objective optimization model includes combining an improved particle swarm optimization algorithm to find the global optimal virtual power plant scheduling strategy in the search space, and the formula is expressed as: f(x)=w1*f1(E)+w2*f2(C)+w3*f3(H) Among them, f1(E) is the electricity dispatch cost, f2(C) is the carbon resource dispatch cost, f3(H) is the penalty function for insufficient hydrogen production, and w1, w2 and w3 are weight coefficients; The hydrogen production efficiency model formula is expressed as: Among them, η(E,C) is the hydrogen production efficiency, η0 is the benchmark efficiency, E0 is the benchmark electricity, C0 is the carbon resource supply, α and β are efficiency influence coefficients, E is the electrical energy input for hydrogen production, and C is the carbon resource input for hydrogen production.

4. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 3 is characterized in that: The formulation of the virtual power plant dispatching strategy also includes, when the electricity supply is sufficient and the carbon resource supply is sufficient, maximizing hydrogen production and storing electricity and carbon resources at the same time; when the electricity supply is insufficient but the carbon resource supply is sufficient, giving priority to ensuring hydrogen production and supplementing the electricity shortage through grid dispatching; when the electricity supply is sufficient but the carbon resource supply is insufficient, optimizing the electrolyzer operation efficiency and reducing carbon resource consumption; when the electricity supply is insufficient and the carbon resource supply is insufficient, implementing emergency dispatching and reducing hydrogen production.

5. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 4, characterized in that: The collaborative driving of the electrolyzer includes collaboratively driving the electrolyzer through an external power grid, a carbon capture device and a virtual power plant; When the power supply is sufficient and the carbon resource supply is sufficient, the external power grid provides power to drive the electrolyzer, and the excess carbon dioxide obtained by the carbon capture device is stored in the carbon dioxide storage device of the virtual power plant. The power supply system operation constraints are characterized as follows: P ele =P Grid Among them, P ele is the electrolytic cell operating power, P Grid Supply power to the grid; The constraints on carbon resource flow and demand relationship are characterized as follows: C cap =C ele-demand +C vpp C ele-demand =P ele ·α r Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant, P ele is the electrolytic cell operating power, α r is the correlation coefficient between the carbon demand of the electrolyzer and the operating power of the electrolyzer; The production relationship of the hydrogen energy synthesis system is characterized as follows: M H2 =P ele ·a ele Among them, M H2 is the amount of hydrogen produced by the system, P ele is the electrolytic cell operating power, α ele is the correlation coefficient between hydrogen production and electrolyzer operating power.

6. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 5, characterized in that: The adjusting the operating power and carbon resource supply of the electrolyzer includes, when the power supply is insufficient or the carbon resource supply is insufficient, adjusting the power supply system operation constraint representation and the carbon resource flow relationship constraint representation, thereby adjusting the operating power and carbon resource supply of the electrolyzer; When the power supply is insufficient but the carbon resource supply is sufficient, the external power grid cannot support the power demand of the electrolyzer operation. It is necessary to coordinate the power supply with the power grid through the virtual power plant power dispatch. The carbon resources obtained by the carbon capture device are sufficient to meet the carbon dioxide feed demand of the electrolysis process. The excess carbon dioxide obtained by the carbon capture device is guided and stored in the carbon dioxide storage device in the virtual power plant. At this time, the carbon resource flow and demand relationship constraint representation and the hydrogen energy synthesis system production relationship representation are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The power supply system operation constraint representation is: P ele =P Grid +P vpp Among them, P ele is the electrolytic cell operating power, P Grid Supply power to the grid, P vpp Dispatching power supply for photovoltaic and energy storage in virtual power plants; When the power supply is sufficient but the carbon resource supply is insufficient, the external power grid power supply is sufficient to support the electricity demand of the electrolyzer operation, but the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, the carbon dioxide is supplied by the virtual power plant carbon resource scheduling and carbon capture in coordination. The power supply system operation constraint characterization, the carbon demand characterization of the electrolyzer and the production relationship characterization of the hydrogen energy synthesis system are the same as when the power supply is sufficient and the carbon resource supply is sufficient. The carbon resource flow relationship constraint characterization is: C ele-demand =C cap +C vpp Among them, C cap The amount of carbon dioxide captured by the carbon capture device, C ele-demand is the carbon demand of the electrolyzer, C vpp is the storage capacity of the carbon dioxide storage device in the virtual power plant; When the electricity supply is insufficient and the carbon resource supply is insufficient, the power supply from the external power grid cannot support the electricity demand of the electrolyzer operation. At this time, the virtual power plant power dispatch is used to coordinate the power supply with the power grid. At the same time, the carbon resources obtained by the carbon capture device cannot support the carbon dioxide feed demand of the electrolysis process. At this time, carbon dioxide is supplied through the virtual power plant carbon resource dispatch and carbon capture.

7. The method for scheduling a virtual power plant with integrated photovoltaic and carbon storage based on a hydrogen production scenario according to claim 6, characterized in that: The generation of direct current includes: the photovoltaic device converts solar energy into direct current through the photoelectric effect under sunlight radiation, the surface material of the photovoltaic panel absorbs photon energy, releases electrons, forms current, and the direct current output by the photovoltaic device is transmitted to the energy storage system through a cable for storage; The carbon dioxide capture method includes starting a carbon capture device, capturing carbon dioxide from ambient air through physical adsorption, chemical absorption and membrane separation, compressing and converting the captured carbon dioxide into liquid, and supplying it to an electrolyzer through a pipeline. The carbon dioxide in the electrolyzer reacts with water to produce hydrogen and carbon monoxide through electrolysis. When the carbon dioxide captured by the carbon capture device exceeds the immediate demand of the electrolyzer, the excess carbon dioxide is stored.

8. A system using the photovoltaic and carbon storage integrated virtual power plant scheduling method based on hydrogen production scenarios as described in any one of claims 1 to 7, characterized in that: It includes resource supply status division module, strategy formulation module, electrolyzer collaborative drive module, photovoltaic power generation and energy storage module, and carbon capture and carbon resource management module; The resource supply status classification module is used to monitor the power supply status of the power grid and the carbon resource supply status of the carbon capture system in real time, and classify the resource supply status into four situations according to the set threshold value; The strategy formulation module is used to formulate a scheduling strategy for a virtual power plant and a production plan for a hydrogen energy system according to different resource supply states using a multi-objective optimization model and a hydrogen energy production efficiency model; The electrolyzer collaborative driving module is used to drive the electrolyzer to operate through the collaborative work of the external power grid, the carbon capture device and the virtual power plant, produce hydrogen and carbon monoxide, and adjust the operating power and carbon resource supply of the electrolyzer according to the resource supply status; The photovoltaic power generation and energy storage module is used to generate direct current by photovoltaic equipment under sunlight radiation, and transmit it to the energy storage system through cables for storage, so as to release electric energy when there is insufficient sunlight or peak demand, and balance the supply and demand of electricity; The carbon capture and carbon resource management module is used to capture carbon dioxide from ambient air using a carbon capture device, compress and convert it into liquid, and supply it to the electrolyzer for hydrogen energy production. At the same time, it manages the remaining carbon dioxide resources and stores them in a virtual power plant.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for scheduling a virtual power plant based on a hydrogen production scenario using integrated photovoltaic and carbon storage are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for scheduling a virtual power plant based on a hydrogen production scenario using integrated photovoltaic and carbon storage are implemented as described in any one of claims 1 to 7.

Images