Multi-energy flow scheduling method for compressed air energy storage based on energy hub

Abstract

The present invention provides a method for dispatching multiple energy flows of compressed air energy storage based on an energy hub, comprising the following steps: establishing a general energy exchange model based on an energy hub; establishing a compressed air energy storage multiple energy flow model based on an energy hub according to the structure and characteristics of the compressed air energy storage multiple energy flow system; establishing a benefit maximization energy flow dispatching problem model according to the compressed air energy storage multiple energy flow model based on the energy hub; based on the benefit maximization energy flow dispatching problem model, using the general energy exchange model based on the energy hub to analyze the energy flow generated by each key device of the compressed air energy storage power station, and perform energy flow dispatching planning for the whole day's operation. The present invention can make each device of the compressed air energy storage system operate reasonably, and greatly improve the economic benefits of the compressed air energy storage power station.

Description

Technical Field

[0001] The present invention relates to the technical field of compressed air energy storage, and in particular to a compressed air energy storage multi-energy flow scheduling method based on an energy hub. Background Art

[0002] With the rapid development of social economy, the proportion of electricity demand in daily life is increasing, the capacity of my country's power grid is increasing, and the peak-to-valley difference is increasing. At present, my country's power generation is mainly coal-fired power generation. The current international coal prices are soaring, resulting in a substantial increase in domestic power generation costs.

[0003] In order to cope with the situation that domestic power generation is mainly based on thermal power generation, the country has vigorously developed new energy power generation in recent years. Since wind power, photovoltaic and other new energy power generation are volatile and uncertain, their large-scale grid connection will have an impact on the safety and stable operation of the power grid. Energy storage devices have the ability to migrate power and energy over time. Their application can make the originally rigidly connected power system flexible, thus providing a technical solution for the problem of large-scale wind power, photovoltaic and other new energy power generation grid connection; at the same time, large-scale energy storage technology can achieve "peak shaving and valley filling" of the power grid, enhancing the safety of power grid operation.

[0004] Compressed air energy storage is a type of energy storage with large storage capacity and high conversion efficiency. It is therefore suitable for commercial application in large-scale energy storage power stations. It is one of the key technologies to solve the problems of fluctuating renewable energy consumption, grid peak regulation, and carbon neutrality. Compressed air energy storage has no special requirements for geographical conditions, and its construction cost and response speed are comparable to those of traditional pumped storage power stations. At the same time, compressed air energy storage has a long service life and large energy storage capacity. It is a large-scale energy storage technology with prospects for promotion and application. The compressed air energy storage system has a complex structure and numerous parameters. The various devices are interrelated and influence each other. Each device module not only affects the energy utilization efficiency of its own pneumatic components, but also has the potential to affect the overall structural optimization, capacity design, and operating performance of the system. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a compressed air energy storage multi-energy flow scheduling method based on an energy hub, which can enable each device of the compressed air energy storage system to operate reasonably and greatly improve the economic benefits of the compressed air energy storage power station.

[0006] The technical solution adopted by the present invention is as follows:

[0007] A compressed air energy storage multi-energy flow scheduling method based on an energy hub comprises the following steps: establishing a universal energy exchange model based on an energy hub; establishing a compressed air energy storage multi-energy flow model based on an energy hub according to the structure and characteristics of the compressed air energy storage multi-energy flow system; establishing a benefit maximization energy flow scheduling problem model according to the compressed air energy storage multi-energy flow model based on the energy hub; based on the benefit maximization energy flow scheduling problem model, using the universal energy exchange model based on the energy hub to analyze the energy flow generated by each key equipment of the compressed air energy storage power station, and performing energy flow scheduling planning for the whole day's operation.

[0008] The input-output relationship of the general energy exchange model based on the energy hub is:

[0009]

[0010] Among them, O1 to O m Indicates m forms of energy output, I1 to I n represents n forms of energy input, c ij is the coupling factor, which represents the ratio of the i-th form of energy output to the j-th form of energy input.

[0011] The coupling factor includes a distribution factor and an efficiency factor. The input-output relationship of the general energy exchange model based on the energy hub is decomposed into:

[0012]

[0013]

[0014] Among them, d ij is the allocation factor, which represents the proportion of the j-th form of energy input allocated to the i-th form of energy, η ij is the efficiency factor, which represents the efficiency of converting the j-th form of energy into the i-th form of energy output.

[0015] The compressed air energy storage multi-energy flow system includes a compression subsystem, an air storage subsystem, a turbine subsystem and an energy flow collection subsystem, wherein the energy flow collection subsystem includes the first to fourth heat exchangers, low-temperature heat storage tanks respectively connected to the first to fourth heat exchangers, and high-temperature heat storage tanks respectively connected to the first to fourth heat exchangers; the compression subsystem is composed of a segmented compressor, including a low-pressure compressor and a high-pressure compressor, and the low-pressure compressor, the high-pressure compressor and the first heat exchanger form a multi-stage compression and inter-stage cooling structure; the air storage subsystem includes an air storage chamber; the turbine subsystem is composed of a segmented turbine, including a high-pressure turbine and a low-pressure turbine, and the high-pressure turbine, the low-pressure turbine and the fourth heat exchanger form a multi-stage expansion and inter-stage reheating structure; the input of the compressed air energy storage multi-energy flow system is the abandoned electricity and normal temperature air generated by new energy power generation, and the output of the compressed air energy storage multi-energy flow system is electrical load, heat load and cold load.

[0016] The input-output relationship of the low-pressure compressor in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0017]

[0018] Among them, I in and I out denote input and output respectively, η denotes the efficiency matrix, I e and I a Respectively represent the input electrical energy and gas at normal temperature and pressure, η e and η a Represent the efficiency factors of electricity and gas, O h and O pa Represent the output heat energy and high pressure gas, T hpa Indicates high temperature and high pressure gas.

[0019] The input-output relationship between the first heat exchanger and the second heat exchanger in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0020]

[0021] Among them, I c Represents the input cold energy, which comes from the low-temperature heat storage tank, η c Represents the low temperature heat transfer efficiency factor.

[0022] The input-output relationship of the high-pressure compressor in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0023]

[0024] The input-output relationship of the air storage chamber in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0025] I in =I out .

[0026] The input-output relationship between the third heat exchanger and the fourth heat exchanger in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0027]

[0028] Among them, I h Represents the input heat energy, which comes from the high temperature heat storage tank, O c Represents the output cold energy, η h Represents the high temperature heat transfer efficiency factor.

[0029] The input-output relationship of the high-pressure turbine in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0030]

[0031] Among them, η m represents the mechanical energy efficiency factor, O m Represents mechanical energy.

[0032] The input-output relationship of the low-pressure turbine in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0033]

[0034] Among them, O a Indicates the output gas at normal temperature and pressure.

[0035] The revenue maximization energy flow scheduling problem model is:

[0036]

[0037]

[0038]

[0039]

[0040] Another constraint is to satisfy the input-output relationship of each device in the multi-energy flow model of compressed air energy storage based on the energy hub.

[0041] Among them, π represents the maximum profit per day, S and c are the price and cost of electricity sold per hour, α and L are the unit price and hourly sales volume of energy sold by the compressed air energy storage power station to users, β and P are the unit price and hourly purchase volume of energy purchased by the compressed air energy storage power station from other power stations, Vm Indicates the energy distribution ratio per hour, P i represents the power of each compressor and turbine, η i Indicates the efficiency factor of each conversion.

[0042] Beneficial effects of the present invention:

[0043] The present invention establishes a compressed air energy storage multi-energy flow model based on an energy hub, and according to the compressed air energy storage multi-energy flow model based on the energy hub, establishes a benefit maximization energy flow scheduling problem model, and performs energy flow scheduling planning for a compressed air energy storage power station based on the benefit maximization energy flow scheduling problem model. As a result, each device of the compressed air energy storage system can be reasonably operated, greatly improving the economic benefits of the compressed air energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a compressed air energy storage multi-energy flow scheduling method based on an energy hub according to an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of the structure of a general energy exchange model based on an energy hub according to an embodiment of the present invention;

[0046] Figure 3 It is a structural schematic diagram of a compressed air energy storage multi-energy flow model based on an energy hub according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] like Figure 1 As shown, the compressed air energy storage multi-energy flow scheduling method based on the energy hub of the embodiment of the present invention includes the following steps:

[0049] S1, establish a general energy exchange model based on energy hub.

[0050] The general energy exchange model based on energy hub is a multi-port model that describes the input, output, and conversion of different energy carriers, such as Figure 2 As shown, its input end is a variety of original energy input, and after the various original energy is converted inside the energy hub, it becomes a variety of energy output. n Indicates n forms of energy input, O1 to Q mRepresents m forms of energy output.

[0051] The input-output relationship of the general energy exchange model based on the energy hub is:

[0052]

[0053] Among them, O1 to O m Indicates m forms of energy output, I1 to I n represents n forms of energy input, c ij is the coupling factor, which represents the ratio of the i-th form of energy output to the j-th form of energy input.

[0054] The input and output of various forms of energy can be divided into two parts: energy distribution and energy transmission or conversion. Energy distribution refers to the distribution of various energy sources to different energy transmission or conversion equipment in a certain proportion. Energy transmission or conversion refers to the conversion of energy through mechanical, chemical and other means after it is input into the equipment, with a certain conversion efficiency.

[0055] Therefore, in one embodiment of the present invention, the coupling factor includes a distribution factor and an efficiency factor, and the input-output relationship of the general energy exchange model based on the energy hub can be further decomposed into:

[0056]

[0057] Among them, d ij is the allocation factor, which indicates the proportion of the j-th form of energy input allocated to the i-th form of energy, η ij is the efficiency factor, which indicates the efficiency of converting the j-th form of energy into the i-th form of energy output.

[0058] S2. According to the structure and characteristics of the compressed air energy storage multi-energy flow system, a compressed air energy storage multi-energy flow model based on the energy hub is established.

[0059] like Figure 3As shown, the compressed air energy storage multi-energy flow system includes a compression subsystem, an air storage subsystem, a turbine subsystem and an energy flow collection subsystem. Among them, the energy flow collection subsystem includes the first to fourth heat exchangers, low-temperature heat storage tanks connected to the first to fourth heat exchangers respectively, and high-temperature heat storage tanks connected to the first to fourth heat exchangers respectively. The compression subsystem is composed of a segmented compressor, including a low-pressure compressor and a high-pressure compressor. The low-pressure compressor, the high-pressure compressor and the first heat exchanger form a multi-stage compression and inter-stage cooling structure; the air storage subsystem includes an air storage chamber; the turbine subsystem is composed of a segmented turbine, including a high-pressure turbine and a low-pressure turbine. The high-pressure turbine, the low-pressure turbine and the fourth heat exchanger form a multi-stage expansion and inter-stage reheating structure. The input of the compressed air energy storage multi-energy flow system is the abandoned electricity generated by new energy power generation (such as abandoned wind power, abandoned photovoltaic power, etc.) and the normal temperature air in the environment. The output of the compressed air energy storage multi-energy flow system is the electrical load, heat load and cold load.

[0060] After the abandoned electricity and normal temperature air are input into the system, part of the electric energy is directly used for the external electric load, and the loss of the electric energy in the transmission process is negligible. The other part is used for air compression in the compression subsystem, which is expressed by the matrix as follows:

[0061]

[0062] Among them, I e Represents the total input abandoned electrical energy, N e represents the allocation ratio matrix, I e1 and I e2 Represents the electric energy used for external electric load and the electric energy used for air compression, d e1 and d e2 They represent the distribution ratio of the electric energy used for external electric loads and the electric energy used for air compression, and d e1 +d e2 =1.

[0063] In one embodiment of the present invention, the input-output relationship of the low-pressure compressor in the compressed air energy storage multi-energy flow model based on the energy hub is:

[0064]

[0065] Among them, I in and I out denote input and output respectively, η denotes the efficiency matrix, I e and I a Respectively represent the input electrical energy and gas at normal temperature and pressure, η e and η a Represent the efficiency factors of electricity and gas, O h and O pa Represent the output heat energy and high pressure gas, Thpa Indicates high temperature and high pressure gas.

[0066] The input-output relationship between the first heat exchanger and the second heat exchanger in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0067]

[0068] Among them, I c Represents the input cold energy, which comes from the low-temperature heat storage tank, η c Represents the low temperature heat transfer efficiency factor.

[0069] The input-output relationship of the high-pressure compressor in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0070]

[0071] The input-output relationship of the air storage chamber in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0072] I in =I out .

[0073] The input-output relationship between the third heat exchanger and the fourth heat exchanger in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0074]

[0075] Among them, I h Represents the input heat energy, which comes from the high temperature heat storage tank, O c Represents the output cold energy, η h Represents the high temperature heat transfer efficiency factor.

[0076] The input-output relationship of the high-pressure turbine in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0077]

[0078] Among them, η m represents the mechanical energy efficiency factor, O m Represents mechanical energy.

[0079] The input-output relationship of the low-pressure turbine in the multi-energy flow model of compressed air energy storage based on the energy hub is:

[0080]

[0081] Among them, O a Indicates the output gas at normal temperature and pressure.

[0082] In addition, the input and output relationship of the generator is:

[0083]

[0084] Among them, η e represents the power generation efficiency factor, O e Indicates the output electrical energy.

[0085] It should be noted that the parameters in the above formulas only represent parameter types and do not correspond to specific data. For example, the input-output relationship of the low-pressure compressor and the input-output relationship of the high-pressure compressor are represented by I e Both represent electrical energy, but do not mean that the electrical energy input in the input-output relationship of the low-pressure compressor and the input-output relationship of the high-pressure compressor are equal.

[0086] Combine the following Figure 3 Specifically describe the input and output of each device in the compressed air energy storage multi-energy flow system.

[0087] like Figure 3 As shown, the electrical energy I used for air compression e2 Driven by the low-pressure compressor, the input normal temperature and pressure gas I a Compress to produce high temperature and high pressure gas T hpa1 , and enters the first heat exchanger.

[0088] In the first heat exchanger, the cold energy I of the refrigerant input from the low temperature heat storage tank is used. c2 , for the input high temperature and high pressure gas T hpa1 Heat exchange is performed to produce high pressure gas O pa1 and input into the high pressure compressor, generating heat energy O h1 And input high temperature heat storage tank.

[0089] Electricity used for air compression e2 Driven by the high pressure compressor, the high pressure gas O pa1 Perform secondary compression to produce high temperature and high pressure gas T hpa2 , and enter the second heat exchanger.

[0090] In the second heat exchanger, the cold energy I of the refrigerant input from the low-temperature heat storage tank is used c1 , for the input high temperature and high pressure gas T hpa2 Heat exchange is performed to produce high pressure gas O pa2 And enter the gas storage chamber for storage, while generating heat energy O h2 And input high temperature heat storage tank.

[0091] Heat h1 and heat energy h2 Fusion is total heat O hInput high temperature heat storage tank, can heat the refrigerant in the high temperature heat storage tank, that is, the total heat energy O h Store in high temperature thermal storage tanks.

[0092] In the gas storage chamber, the loss of higher pressure gas during transmission and storage can be ignored, that is, the gas storage chamber can output high pressure gas O to the third heat exchanger. pa2 .

[0093] In the third heat exchanger, the heat energy I of the refrigerant input from the high temperature heat storage tank is used h1 , for the input high pressure gas O pa2 Heat exchange is performed to produce high temperature and high pressure gas T hpa3 And input to the high pressure turbine, while generating cold energy O c2 And input low temperature heat storage tank.

[0094] In the high-pressure turbine, the high-temperature and high-pressure gas T hpa3 The internal energy is converted into mechanical energy and generates high-pressure gas O pa3 , input the fourth heat exchanger.

[0095] In the fourth heat exchanger, the heat energy I of the refrigerant input from the high temperature heat storage tank is used. h2 , for the input high pressure gas O pa3 Heat exchange is performed to produce high temperature and high pressure gas T hpa4 And input into the low pressure turbine, while generating cold energy O c1 And input low temperature heat storage tank.

[0096] Cold Energy c1 and cold energy O c2 Fusion into total cold energy O c Input into the low temperature heat storage tank, the refrigerant in the low temperature heat storage tank can be cooled down, that is, the total cold energy O c Stored in low temperature heat storage tanks.

[0097] In the low-pressure turbine, the high-temperature and high-pressure gas T hpa4 The internal energy is converted into mechanical energy and generates gas O at room temperature and pressure. a , directly discharged into the air.

[0098] The mechanical energy generated by the high-pressure turbine and the low-pressure turbine is used to drive the generator to generate electricity, and the generated electricity is supplied to the electrical load. In addition, the low-temperature heat storage tank can supply cold energy to the cold load, and the high-temperature heat storage tank can supply heat energy to the heat load.

[0099] S3, based on the compressed air energy storage multi-energy flow model based on the energy hub, establish a benefit maximization energy flow scheduling problem model.

[0100] For a typical compressed air energy storage multi-energy flow system, it can supply electricity and heat energy to the outside. It can compress and store gas when electricity prices are cheap, convert electricity into gas internal energy, and generate turbine power when electricity prices are high, convert gas internal energy into electricity. At the same time, it can supply the unconsumed heat energy in the system to the outside, thereby maximizing profits while meeting users' energy needs.

[0101] At the same time, the constraints are: 1. The energy allocation ratio of each energy source is dynamically adjusted within its reasonable operating range every hour, but the total allocation ratio is 1; 2. The compressor and turbine only operate within the specified power range; 3. The conversion efficiency and the allocation matrix need to change within a reasonable range; 4. The above-mentioned compressed air energy storage multi-energy flow model based on the energy hub satisfies the input-output relationship of each device shown in the above equations (4) to (9).

[0102] Specifically, the revenue maximization energy flow scheduling problem model is:

[0103]

[0104] Another constraint is to satisfy the input-output relationship of each device in the compressed air energy storage multi-energy flow model based on the energy hub.

[0105] Among them, π represents the maximum profit per day, S and c are the price and cost of electricity sold per hour, α and L are the unit price and hourly sales volume of energy sold by the compressed air energy storage power station to users, β and P are the unit price and hourly purchase volume of energy purchased by the compressed air energy storage power station from other power stations, V m Indicates the energy distribution ratio per hour, P i represents the power of each compressor and turbine, η i Indicates the efficiency factor of each conversion.

[0106] It should be understood that the calculation method of adding up the selling prices and costs of each time period adopted in the revenue maximization energy flow scheduling problem model can be applied to the time-of-use electricity prices and time-of-use selling prices, that is, the unit price of energy sold by the compressed air energy storage power station to users can be different in different time periods, and the unit price of energy purchased by the compressed air energy storage power station can be different in different time periods.

[0107] S4, based on the profit maximization energy flow scheduling problem model, uses the general energy exchange model based on the energy hub to analyze the energy flow generated by each key equipment of the compressed air energy storage power station, and performs energy flow scheduling planning for the whole day's operation.

[0108] Different proportions of the j-th form of energy input allocated to the i-th form of energy, different equipment parameters (including the above power, the above efficiency, the rated inlet temperature of the compressor turbine, the upper and lower limits of the heat storage tank, the volume of the air storage chamber, the energy efficiency of the heat exchanger, etc.), different operating times, etc., all determine different scheduling methods. The energy flow generated by each key equipment of the compressed air energy storage power station is analyzed using a general energy exchange model based on an energy hub. By comparing multiple scheduling methods, a scheduling method that maximizes benefits is developed, thereby improving the economic benefits of the compressed air energy storage power station.

[0109] According to the compressed air energy storage multi-energy flow scheduling method based on the energy hub according to the embodiment of the present invention, a compressed air energy storage multi-energy flow model based on the energy hub is established, and a benefit maximization energy flow scheduling problem model is established according to the compressed air energy storage multi-energy flow model based on the energy hub, and energy flow scheduling planning is performed for the compressed air energy storage power station based on the benefit maximization energy flow scheduling problem model, thereby enabling each device of the compressed air energy storage system to operate reasonably and greatly improving the economic benefits of the compressed air energy storage power station.

[0110] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0111] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0112] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0113] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0114] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0115] 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 combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "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 combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be 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 and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0116] 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.

[0117] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0118] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0119] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A compressed air energy storage multi-energy flow scheduling method based on an energy hub, characterized in that: The following steps are involved: Establish a universal energy exchange model based on energy hubs; According to the structure and characteristics of compressed air energy storage multi-energy flow system, a compressed air energy storage multi-energy flow model based on energy hub is established; According to the compressed air energy storage multi-energy flow model based on the energy hub, a benefit maximization energy flow scheduling problem model is established; Based on the profit maximization energy flow scheduling problem model, the energy flow generated by each key equipment of the compressed air energy storage power station is analyzed using the universal energy exchange model based on the energy hub, and the energy flow scheduling plan is carried out for the whole day operation. The input-output relationship of the general energy exchange model based on the energy hub is: Among them, O1 to O m Indicates m forms of energy output, I1 to I n represents n forms of energy input, c ij is the coupling factor, which represents the ratio of the i-th form of energy output to the j-th form of energy input, The compressed air energy storage multi-energy flow system comprises a compression subsystem, an air storage subsystem, a turbine subsystem and an energy flow collection subsystem. The energy flow collection subsystem includes the first to fourth heat exchangers, low-temperature heat storage tanks respectively connected to the first to fourth heat exchangers, and high-temperature heat storage tanks respectively connected to the first to fourth heat exchangers; the compression subsystem is composed of a segmented compressor, including a low-pressure compressor and a high-pressure compressor, and the low-pressure compressor, the high-pressure compressor and the first heat exchanger form a multi-stage compression and inter-stage cooling structure; the gas storage subsystem includes an gas storage chamber; the turbine subsystem is composed of a segmented turbine, including a high-pressure turbine and a low-pressure turbine, and the high-pressure turbine, the low-pressure turbine and the fourth heat exchanger form a multi-stage expansion and inter-stage reheating structure. The input of the compressed air energy storage multi-energy flow system is the abandoned electricity generated by new energy power generation and normal temperature air, and the output of the compressed air energy storage multi-energy flow system is the electrical load, heat load and cold load. The input-output relationship of the low-pressure compressor in the compressed air energy storage multi-energy flow model based on the energy hub is: Among them, I in and I out denote input and output respectively, η denotes the efficiency matrix, I e and I a Respectively represent the input electrical energy and gas at normal temperature and pressure, η e and η a denote the efficiency factors of electricity and gas, respectively, O h and O pa Represent the output heat energy and high pressure gas, T hpa Represents high temperature and high pressure gas. The input-output relationship between the first heat exchanger and the second heat exchanger in the compressed air energy storage multi-energy flow model based on the energy hub is: Among them, I c Represents the input cold energy, which comes from the low-temperature heat storage tank, η c represents the low temperature heat transfer efficiency factor, The input-output relationship of the high-pressure compressor in the compressed air energy storage multi-energy flow model based on the energy hub is: The input-output relationship of the air storage chamber in the multi-energy flow model of compressed air energy storage based on the energy hub is: I in =I out , The input-output relationship between the third heat exchanger and the fourth heat exchanger in the compressed air energy storage multi-energy flow model based on the energy hub is: Among them, I h Represents the input heat energy, which comes from the high temperature heat storage tank, O c Represents the output cold energy, η h represents the high temperature heat transfer efficiency factor, The input-output relationship of the high-pressure turbine in the compressed air energy storage multi-energy flow model based on the energy hub is: Among them, η m represents the mechanical energy efficiency factor, O m represents mechanical energy, The input-output relationship of the low-pressure turbine in the compressed air energy storage multi-energy flow model based on the energy hub is: Among them, O a Indicates the output of normal temperature and pressure gas. The revenue maximization energy flow scheduling problem model is: Another constraint is to satisfy the input-output relationship of each device in the multi-energy flow model of compressed air energy storage based on the energy hub. Among them, π represents the maximum profit per day, S and c are the price and cost of electricity sold per hour, α and L are the unit price and hourly sales volume of energy sold by the compressed air energy storage power station to users, β and P are the unit price and hourly purchase volume of energy purchased by the compressed air energy storage power station from other power stations, V m Indicates the energy distribution ratio per hour, P i represents the power of each compressor and turbine, η i Indicates the efficiency factor of each conversion.

2. The compressed air energy storage multi-energy flow scheduling method based on the energy hub according to claim 1 is characterized in that: The coupling factor includes a distribution factor and an efficiency factor. The input-output relationship of the general energy exchange model based on the energy hub is decomposed into: Among them, d ij is the allocation factor, which represents the proportion of the j-th form of energy input allocated to the i-th form of energy, η ij is the efficiency factor, which represents the efficiency of converting the j-th form of energy into the i-th form of energy output.

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