Method and device for improving energy efficiency of compressed air energy storage system based on graph theory

Abstract

The invention relates to the technical field of novel energy, in particular to a method and device for improving energy efficiency of a compressed air energy storage system based on a graph theory, and the method comprises the steps: building a comprehensive energy efficiency index of combined cooling heating and power supply of a target compressed air energy storage system, the target compressed air energy storage system comprises a multi-stage compressor, a multi-stage heat exchanger, a multi-stage heat regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir; based on the comprehensive energy efficiency index, analyzing the physical process of the target compressed air energy storage system to establish a compressed air energy storage comprehensive energy efficiency analysis model based on a graph theory; the energy efficiency of the target compressed air energy storage system is maximized according to the compressed air energy storage comprehensive energy efficiency analysis model based on the graph theory, so that corresponding operation parameters of the target compressed air energy storage system are obtained. Therefore, the problems that the energy efficiency of current compressed air energy storage is low, and the requirements of a novel electric power system are difficult to meet are solved.

Description

Technical Field

[0001] The present invention relates to the field of new energy technologies, and in particular to a method and device for improving energy efficiency of a compressed air energy storage system based on graph theory. Background Art

[0002] The traditional energy system is based on the combustion of fossil energy, which is not only unsustainable, but also causes environmental problems such as the intensification of the greenhouse effect. Although the large-scale access of new energy sources such as wind power and photovoltaics has alleviated these problems, their strong volatility and other characteristics have also brought new problems, such as the decline in the system's frequency regulation capability. Energy storage can make up for the shortcomings of high volatility and strong uncertainty of new energy sources, and compressed air energy storage is one of the largest capacity among many energy storage technology routes, which can better meet the needs of future new power systems. At present, the energy efficiency of compressed air energy storage is still relatively low, which will cause some energy waste. If the comprehensive energy efficiency of the compressed air energy storage system can be improved, it will be able to better adapt to the needs of the new power system.

[0003] Therefore, how to correctly and comprehensively analyze the energy efficiency of compressed air energy storage and improve it is an urgent problem to be solved. Summary of the invention

[0004] The present invention provides a method and device for improving the energy efficiency of a compressed air energy storage system based on graph theory, so as to solve the problems that the energy efficiency of the current compressed air energy storage is low and it is difficult to adapt to the needs of the new power system.

[0005] The first aspect of the present invention provides a method for improving the energy efficiency of a compressed air energy storage system based on graph theory, comprising the following steps:

[0006] Establishing comprehensive energy efficiency indicators for the combined cooling, heating and power generation of a target compressed air energy storage system, wherein the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir;

[0007] Based on the comprehensive energy efficiency index, the physical process of the target compressed air energy storage system is analyzed to establish a graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model;

[0008] The energy efficiency of the target compressed air energy storage system is maximized according to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system.

[0009] Optionally, the establishment of a comprehensive energy efficiency index for the combined cooling, heating and power supply of the target compressed air energy storage system includes:

[0010] The target compressed air energy storage system is planned to utilize the surplus energy of the power grid to drive the multi-stage compressor to compress the air during charging, and the high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil, and the high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir;

[0011] The target compressed air energy storage system is planned to heat water and air through high-temperature heat transfer oil during power generation, and the generated air drives the multi-stage turbine to rotate, the generated hot water is used for heating, and the exhaust gas flowing out of the multi-stage turbine is used for cooling;

[0012] Establish comprehensive energy efficiency indicators for the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

[0013] Optionally, maximizing the energy efficiency of the target compressed air energy storage system according to the graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system includes:

[0014] According to the graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model, the energy efficiency maximization of the target compressed air energy storage system is converted into a minimum path problem of a weighted graph;

[0015] Solve the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system.

[0016] Optionally, solving the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system includes:

[0017] The minimum path problem of the weighted graph is solved by a breadth-first or depth-first search method to obtain corresponding operating parameters of the target compressed air energy storage system.

[0018] The second aspect of the present invention provides a device for improving energy efficiency of a compressed air energy storage system based on graph theory, comprising:

[0019] A construction module is used to establish a comprehensive energy efficiency index of the combined cooling, heating and power of a target compressed air energy storage system, wherein the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir;

[0020] An analysis module, used to analyze the physical process of the target compressed air energy storage system based on the comprehensive energy efficiency index, so as to establish a compressed air energy storage comprehensive energy efficiency analysis model based on graph theory;

[0021] A solution module is used to maximize the energy efficiency of the target compressed air energy storage system according to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system.

[0022] Optionally, the building blocks include:

[0023] The first planning unit is used to plan that when the target compressed air energy storage system is charged, the surplus energy of the power grid is used to drive the multi-stage compressor to compress the air, and the high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil, and the high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir;

[0024] The second planning unit is used to plan that when the target compressed air energy storage system generates electricity, water and air are heated by high-temperature heat transfer oil, the generated air drives the multi-stage turbine to rotate, the generated hot water is used for heating, and the exhaust gas flowing out of the multi-stage turbine is used for cooling;

[0025] A building unit is used to establish the comprehensive energy efficiency index of the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

[0026] Optionally, the solution module includes:

[0027] A conversion unit, used for converting the energy efficiency maximization of the target compressed air energy storage system into a minimum path problem of a weighted graph according to the graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model;

[0028] A solving unit is used to solve the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system.

[0029] Optionally, the solving unit solves the minimum path problem of the weighted graph by a breadth-first or depth-first search method to obtain corresponding operating parameters of the target compressed air energy storage system.

[0030] An embodiment of the third aspect of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for improving energy efficiency of a compressed air energy storage system based on graph theory as described in the above embodiment.

[0031] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned graph-theory-based compressed air energy storage system energy efficiency improvement method.

[0032] The method and device for improving the energy efficiency of a compressed air energy storage system based on graph theory proposed in the embodiment of the present invention correctly and comprehensively analyze the energy efficiency of compressed air energy storage, and improve the energy efficiency accordingly based on graph theory, so that the compressed air energy storage system can better adapt to the needs of new power systems, reduce energy waste, improve the configuration efficiency of power systems, and achieve optimal utilization of power systems.

[0033] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0035] Figure 1 A flowchart of a method for improving energy efficiency of a compressed air energy storage system based on graph theory provided in an embodiment of the present invention;

[0036] Figure 2 A schematic diagram of a compressed air energy storage multi-energy supply structure provided by an embodiment of the present invention;

[0037] Figure 3 A schematic diagram of an internal energy transfer model of compressed air energy storage based on graph theory provided in an embodiment of the present invention;

[0038] Figure 4 A block diagram of a device for improving energy efficiency of a compressed air energy storage system based on graph theory provided by an embodiment of the present invention;

[0039] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0041] The following describes a method and device for improving energy efficiency of a compressed air energy storage system based on graph theory according to an embodiment of the present invention with reference to the accompanying drawings.

[0042] Figure 1 A schematic flow chart of a method for improving energy efficiency of a compressed air energy storage system based on graph theory provided in an embodiment of the present invention.

[0043] like Figure 1As shown, the method for improving the energy efficiency of a compressed air energy storage system based on graph theory includes the following steps:

[0044] In step S101, a comprehensive energy efficiency index of the combined cooling, heating and power of the target compressed air energy storage system is established.

[0045] In some embodiments, establishing a comprehensive energy efficiency index of the combined cooling, heating and power of the target compressed air energy storage system includes:

[0046] Planning target When the compressed air energy storage system is charging, it uses the surplus energy of the power grid to drive a multi-stage compressor to compress the air. The high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil. The high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir.

[0047] Planning target When the compressed air energy storage system generates electricity, the high-temperature heat transfer oil heats water and air. The generated air drives the multi-stage turbine to rotate. The generated hot water is used for heating, and the exhaust gas from the multi-stage turbine is used for cooling.

[0048] Establish comprehensive energy efficiency indicators for the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

[0049] In the actual implementation process, Figure 2 As shown, the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir. Each stage of the compressor is connected to a heat exchanger of a corresponding level, and the heat exchanger is respectively connected to the heat storage reservoir and the gas storage reservoir. Each stage of the turbine is also connected to a heat exchanger of a corresponding level, and the heat exchanger is connected to the heat storage reservoir and the gas storage reservoir.

[0050] like Figure 3 As shown, the compressed air energy storage system planned in the embodiment of the present invention will use the surplus energy of the power grid to drive a multi-stage compressor to compress the air when charging, and the high-temperature and high-pressure air between the compressor stages will flow through the heat exchanger to heat the thermal oil. Finally, the high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir. When the compressed air energy storage system planned in the embodiment of the present invention generates electricity, the high-pressure air is heated by the high-temperature thermal oil to drive the turbine to rotate, and the exhaust gas flowing out of the turbine can be used for cooling. At the same time, some of the remaining high-temperature thermal oil can also be used to heat water, and the heat exchange process between stages can also use a variety of media heat exchange, so that the hot water generated can be used for heating. Then, the comprehensive energy efficiency index of the trigeneration of cooling, heating and electricity of the planned target compressed air energy storage system is established to evaluate the comprehensive energy efficiency of compressed air energy storage.

[0051] For example, assuming that the total energy consumed by charging the compressed air energy storage system is W ch , the electrical energy released to the outside is W dis The water heated by the remaining heat transfer oil and the hot water generated by the inter-stage heat exchange are mw kg, temperature is T w , the mass of the exhaust gas is m a kg, temperature is T a The comprehensive energy efficiency index can be defined as follows:

[0052]

[0053] Among them, c a ,c w are the specific heat capacities of air and water, T a,0 ,T w,0 They are the temperature of the air after cooling and the temperature of the hot water after heating.

[0054] In step S102, based on the comprehensive energy efficiency index, the physical process of the target compressed air energy storage system is analyzed to establish a compressed air energy storage comprehensive energy efficiency analysis model based on graph theory.

[0055] In the actual implementation process, based on the comprehensive energy efficiency indicators, according to the actual operating principles of compressed air energy storage and the above-mentioned external energy supply types, and in accordance with the flow of different media such as air, thermal oil, water, etc., a compressed air energy storage operation model based on graph theory is established and expressed using the language of graph theory.

[0056] Specifically, define energy input, compressor, heat exchanger, turbine, gas storage, heat storage, three output powers, and loss power as a node respectively, and then construct the flow equations of each medium in the compressed air energy storage system based on graph theory. It should be noted that each quantity represents energy, that is, the energy output by the node to the next node. Taking the compressed air energy storage system with a single compressor and a single turbine as an example, its adjacency table is shown below.

[0057]

[0058] Among them, E in ,E ch ,E HEX,1 ,E AS ,E HS ,E HEX,2 , E dis , They are respectively the input electrical energy, the energy stored in the compressor, the energy after passing through the heat exchanger, the energy stored in the gas storage, the energy stored in the heat storage tank, the energy output by the heat exchanger, the output heating energy, the output energy of the turbine, the output electrical energy, and the output cooling energy; E1 is the input electrical energy, which is measured by the power actually supplied to the compressor by the power grid; E2 is the power transmitted to the compressed air by the compressor, which can be calculated by the enthalpy change of the compressed air, that is,

[0059]

[0060] Among them, m a For the quality of air, is the enthalpy of unit mass of air flowing out of the compressor, is the enthalpy of unit mass of air flowing into the compressor; E3 is the energy transferred from the heat exchanger to the gas storage reservoir, which can be calculated from the enthalpy of compressed air, that is,

[0061]

[0062] in, is the enthalpy of unit mass of air flowing into the gas storage reservoir; E4 is the energy transferred from the heat exchanger to the heat storage reservoir, which can be calculated from the temperature change of the heat transfer oil, that is,

[0063]

[0064] Among them, c o is the specific heat capacity of the heat transfer oil, m o is the quality of the heat transfer oil, are the temperatures of the heat transfer oil flowing into and out of the heat exchanger respectively; E5 is the energy transferred to the heat exchanger by the gas storage, which can be calculated from the enthalpy of the air, that is,

[0065]

[0066] in, is the enthalpy of unit mass of air flowing out of the gas storage; E6 is the energy transferred from the heat storage to the heat exchanger, which can be calculated from the temperature change of the heat transfer oil, that is,

[0067]

[0068] Among them, m o,1 is the mass of thermal oil flowing from the heat storage tank into the heat exchanger, is the temperature of the heat transfer oil flowing out of the heat storage tank; E7 is the heating energy, which can be calculated from the temperature change of the heat transfer oil, that is,

[0069]

[0070] Among them, m o,2 is the mass of thermal oil flowing out of the heat storage tank for heating; E8 is the energy of the air flowing out of the heat exchanger for doing work, which can be calculated from the enthalpy of compressed air, that is,

[0071]

[0072] in, is the enthalpy of unit mass of air flowing out of the turbine side heat exchanger; E9 is the energy used by the turbine to generate electricity, which can be measured by the actual power of the generator; E 10is the energy used by the turbine for cooling, which can be calculated from the temperature change of the air used for cooling, that is,

[0073]

[0074] In step S103, the energy efficiency of the target compressed air energy storage system is maximized according to the compressed air energy storage comprehensive energy efficiency analysis model based on graph theory to obtain corresponding operating parameters of the target compressed air energy storage system.

[0075] In some embodiments, the energy efficiency of the target compressed air energy storage system is maximized according to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system, including:

[0076] According to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model, the energy efficiency maximization of the target compressed air energy storage system is transformed into the minimum path problem of the weighted graph;

[0077] The minimum path problem of the weighted graph is solved to obtain the corresponding operating parameters of the target compressed air energy storage system.

[0078] In the actual implementation process, taking the maximum of the above-mentioned comprehensive energy efficiency index as the optimization goal and the above-mentioned graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model as a constraint, the problem of maximizing the comprehensive energy efficiency of compressed air energy storage trigeneration can be transformed into a problem of the minimum path of a weighted graph, and then the minimum path problem of the weighted graph is solved by a breadth-first or depth-first search method, so as to find the operating mode with the maximum comprehensive energy efficiency of compressed air energy storage, and then obtain the corresponding operating parameters of the target compressed air energy storage system.

[0079] In summary, the method for improving the energy efficiency of a compressed air energy storage system based on graph theory proposed in an embodiment of the present invention correctly and comprehensively analyzes the energy efficiency of compressed air energy storage, and improves the energy efficiency accordingly based on graph theory, so that the compressed air energy storage system can better adapt to the needs of new power systems, reduce energy waste, improve the configuration efficiency of power systems, and achieve optimal utilization of power systems.

[0080] Next, a device for improving energy efficiency of a compressed air energy storage system based on graph theory according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0081] Figure 4 A block diagram of a device for improving energy efficiency of a compressed air energy storage system based on graph theory provided in an embodiment of the present invention.

[0082] like Figure 4 As shown, the device 40 for improving energy efficiency of a compressed air energy storage system based on graph theory includes: a construction module 401 , an analysis module 402 and a solution module 403 .

[0083] Among them, the construction module 401 is used to establish the comprehensive energy efficiency index of the trigeneration of cooling, heating and power of the target compressed air energy storage system, wherein the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir. The analysis module 402 is used to analyze the physical process of the target compressed air energy storage system based on the comprehensive energy efficiency index to establish a compressed air energy storage comprehensive energy efficiency analysis model based on graph theory. The solution module 403 is used to maximize the energy efficiency of the target compressed air energy storage system according to the compressed air energy storage comprehensive energy efficiency analysis model based on graph theory to obtain the corresponding operating parameters of the target compressed air energy storage system.

[0084] In some embodiments, building block 401 includes:

[0085] The first planning unit is used to plan the target compressed air energy storage system. When charging, it uses the surplus energy of the power grid to drive the multi-stage compressor to compress the air. The high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil. The high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir.

[0086] The second planning unit is used to plan the target compressed air energy storage system. When generating electricity, the high-temperature heat transfer oil heats water and air, and the generated air drives the multi-stage turbine to rotate. The generated hot water is used for heating, and the exhaust gas flowing out of the multi-stage turbine is used for cooling.

[0087] A building unit is used to establish the comprehensive energy efficiency index of the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

[0088] In some embodiments, the solution module 403 includes:

[0089] A conversion unit, used for converting the energy efficiency maximization of the target compressed air energy storage system into a minimum path problem of a weighted graph according to a graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model;

[0090] The solving unit is used to solve the minimum path problem of the weighted graph to obtain the corresponding operating parameters of the target compressed air energy storage system.

[0091] In some embodiments, the solving unit solves the minimum path problem of the weighted graph by a breadth-first or depth-first search method to obtain corresponding operating parameters of the target compressed air energy storage system.

[0092] It should be noted that the aforementioned explanation of the embodiment of the method for improving the energy efficiency of a compressed air energy storage system based on graph theory is also applicable to the device for improving the energy efficiency of a compressed air energy storage system based on graph theory in this embodiment, and will not be repeated here.

[0093] According to the graph theory-based compressed air energy storage system energy efficiency improvement device proposed in the embodiment of the present invention, the energy efficiency of compressed air energy storage is correctly and comprehensively analyzed, and the energy efficiency is correspondingly improved based on graph theory, so that the compressed air energy storage system can better adapt to the needs of new power systems, reduce energy waste, improve the configuration efficiency of power systems, and achieve optimal utilization of power systems.

[0094] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device may include:

[0095] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0096] When the processor 502 executes the program, the energy efficiency improvement method of the compressed air energy storage system based on graph theory provided in the above embodiment is implemented.

[0097] Furthermore, the electronic device further comprises:

[0098] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0099] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0100] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0101] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0102] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0103] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0104] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for improving the energy efficiency of a compressed air energy storage system based on graph theory.

[0105] 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 N 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, without contradiction.

[0106] In addition, 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 at least one of the features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0107] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom 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 reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0108] 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 purpose 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 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 N wirings (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 by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0109] 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 embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. 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.

[0110] 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.

[0111] 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.

[0112] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for improving energy efficiency of a compressed air energy storage system based on graph theory, characterized in that: The following steps are involved: Establishing comprehensive energy efficiency indicators for the combined cooling, heating and power generation of a target compressed air energy storage system, wherein the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir; Based on the comprehensive energy efficiency index, the physical process of the target compressed air energy storage system is analyzed to establish a graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model; The energy efficiency of the target compressed air energy storage system is maximized according to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system.

2. The method for improving energy efficiency of a compressed air energy storage system based on graph theory according to claim 1, characterized in that: The comprehensive energy efficiency index of the combined cooling, heating and power supply of the target compressed air energy storage system is established, including: The target compressed air energy storage system is planned to utilize the surplus energy of the power grid to drive the multi-stage compressor to compress the air during charging, and the high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil, and the high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir; The target compressed air energy storage system is planned to heat water and air through high-temperature heat transfer oil during power generation, and the generated air drives the multi-stage turbine to rotate, the generated hot water is used for heating, and the exhaust gas flowing out of the multi-stage turbine is used for cooling; Establish comprehensive energy efficiency indicators for the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

3. The method for improving energy efficiency of a compressed air energy storage system based on graph theory according to claim 1, characterized in that: The method of maximizing the energy efficiency of the target compressed air energy storage system according to the graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system includes: According to the graph-theory-based compressed air energy storage comprehensive energy efficiency analysis model, the energy efficiency maximization of the target compressed air energy storage system is converted into a minimum path problem of a weighted graph; Solve the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system.

4. The method for improving energy efficiency of a compressed air energy storage system based on graph theory according to claim 3 is characterized in that: Solving the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system includes: The minimum path problem of the weighted graph is solved by a breadth-first or depth-first search method to obtain corresponding operating parameters of the target compressed air energy storage system.

5. A device for improving energy efficiency of compressed air energy storage system based on graph theory, characterized in that: include: A construction module is used to establish a comprehensive energy efficiency index of the combined cooling, heating and power of a target compressed air energy storage system, wherein the target compressed air energy storage system includes a multi-stage compressor, a multi-stage heat exchanger, a multi-stage regenerator, a multi-stage turbine, a heat storage reservoir and a gas storage reservoir; An analysis module, used to analyze the physical process of the target compressed air energy storage system based on the comprehensive energy efficiency index, so as to establish a compressed air energy storage comprehensive energy efficiency analysis model based on graph theory; A solution module is used to maximize the energy efficiency of the target compressed air energy storage system according to the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model to obtain corresponding operating parameters of the target compressed air energy storage system.

6. The device for improving energy efficiency of compressed air energy storage system based on graph theory according to claim 5, characterized in that: The building blocks include: The first planning unit is used to plan that when the target compressed air energy storage system is charged, the surplus energy of the power grid is used to drive the multi-stage compressor to compress the air, and the high-temperature and high-pressure air between the compressor stages flows through each heat exchanger to heat the thermal oil, and the high-pressure air is stored in the gas storage reservoir, and the high-temperature thermal oil is stored in the thermal storage reservoir; The second planning unit is used to plan that when the target compressed air energy storage system generates electricity, water and air are heated by high-temperature heat transfer oil, the generated air drives the multi-stage turbine to rotate, the generated hot water is used for heating, and the exhaust gas flowing out of the multi-stage turbine is used for cooling; A building unit is used to establish the comprehensive energy efficiency index of the trigeneration of cooling, heating and power of the planned target compressed air energy storage system.

7. The device for improving energy efficiency of compressed air energy storage system based on graph theory according to claim 5, characterized in that: The solution module includes: A conversion unit, for converting the energy efficiency maximization of the target compressed air energy storage system into a minimum path problem of a weighted graph based on the graph theory-based compressed air energy storage comprehensive energy efficiency analysis model; A solving unit is used to solve the minimum path problem of the weighted graph to obtain corresponding operating parameters of the target compressed air energy storage system.

8. The device for improving energy efficiency of compressed air energy storage system based on graph theory according to claim 7, characterized in that: The solving unit solves the minimum path problem of the weighted graph by a breadth-first or depth-first search method to obtain corresponding operating parameters of the target compressed air energy storage system.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for improving energy efficiency of a compressed air energy storage system based on graph theory as described in any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the graph theory-based method for improving energy efficiency of a compressed air energy storage system as described in any one of claims 1 to 4.

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