Method and device for stabilizing compressed air energy storage compression side coupled with electrochemical energy storage

Abstract

The present application relates to the field of new energy technology, in particular to a kind of coupling electrochemical energy storage's compressed air energy storage compression side extension stability method and device, wherein, method includes: the establishment of the day-ahead operation model of power grid containing coupling electrochemical energy storage's compressed air energy storage system, wherein, containing coupling electrochemical energy storage's compressed air energy storage system includes electrochemical energy storage and compressed air energy storage;The day-ahead operation model of power grid is converted into mixed integer linear programming problem;Solve mixed integer linear programming problem, obtain the day-ahead operation plan of hybrid energy storage power station.Thereby, solve the problem that the relatively narrow input power range of compressor cannot meet the flexibility of large-scale new energy grid connection requirements in the new power system presenting "double high".

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy technology, in particular to a method and device for expanding and stabilizing the compression side of compressed air energy storage coupled with electrochemical energy storage. BACKGROUND

[0002] In recent years, in order to cope with the increasingly severe energy crisis and environmental problems, new energy, mainly wind power and photovoltaic power, has developed rapidly. Because new energy has strong volatility, it brings great challenges to the consumption of new energy and the safe and stable operation of the power system. As one of the main solutions, energy storage technology has developed rapidly. Among various energy storage technology routes, compressed air energy storage has become the most likely large-scale energy storage form in the future because of its large capacity, low unit capacity price, and flexible configuration. The interface between compressed air energy storage and the power grid is a compressor and a turbine. However, because the operating range of the compressor is relatively narrow, under low power conditions, it will appear in an unstable condition such as surge, which will lead to a decrease in efficiency and even safety accidents. In the new power system with "double high", the narrow input power range of the compressor cannot meet the flexibility requirements of large-scale new energy grid connection.

[0003] In view of the above analysis, how to expand the operating range of the energy storage side of the compressed air energy storage system to meet the flexibility requirements of the new power system for energy storage is a problem that needs to be solved; therefore, it is necessary to propose a method for expanding and stabilizing the compression side of compressed air energy storage coupled with electrochemical energy storage. SUMMARY

[0004] The present application provides a method and device for expanding and stabilizing the compression side of compressed air energy storage coupled with electrochemical energy storage, to solve the problem that in the new power system with "double high", the narrow input power range of the compressor cannot meet the flexibility requirements of large-scale new energy grid connection.

[0005] The first aspect of the present application provides a method for expanding and stabilizing the compression side of compressed air energy storage coupled with electrochemical energy storage, comprising the following steps:

[0006] Establishing a day-ahead operation model of a power grid containing a compressed air energy storage system coupled with electrochemical energy storage; converting the day-ahead operation model of the power grid into a mixed integer linear programming problem; solving the mixed integer linear programming problem to obtain a day-ahead operation plan of a hybrid energy storage power station.

[0007] Optionally, the step of establishing a day-ahead operation model of a power grid containing a compressed air energy storage system coupled with electrochemical energy storage comprises:

[0008] The compressed air energy storage system coupled with the electrochemical energy storage is constructed, wherein the compressed air energy storage system coupled with the electrochemical energy storage comprises the electrochemical energy storage and the compressed air energy storage; the electrochemical energy storage is scheduled to receive power of a new energy source or a power grid in a charging mode and supply the compressed air energy storage or the power grid in a power generation mode; the compressed air energy storage is scheduled to receive power of the electrochemical energy storage or the new energy source or the power grid in the charging mode, supplement compressed air and high-temperature heat conducting oil, and drive a turbine to generate power for the power grid in the power generation mode; and a power grid day-ahead operation model of the constructed compressed air energy storage system coupled with the electrochemical energy storage is constructed.

[0009] Optionally, the constructing the power grid day-ahead operation model of the constructed compressed air energy storage system coupled with the electrochemical energy storage comprises:

[0010] The power of the new energy output and the load of the constructed compressed air energy storage system coupled with the electrochemical energy storage is predicted to obtain new energy output and load prediction data of the next day in a day-ahead manner; and based on the new energy output and load prediction data of the next day, the power grid day-ahead operation model is constructed by taking the minimum abandonment of the new energy as an objective and comprehensively considering state of charge constraints, power balance constraints, and upper and lower bound constraints of each physical quantity of the compressed air energy storage and the electrochemical energy storage.

[0011] Optionally, the converting the power grid day-ahead operation model into a mixed integer linear programming problem comprises:

[0012] The nonlinear terms in the power grid day-ahead operation model are linearized to obtain the mixed integer linear programming problem.

[0013] Optionally, the solving the mixed integer linear programming problem to obtain a day-ahead operation plan of the hybrid energy storage power station comprises:

[0014] The mixed integer linear programming problem is decomposed into a sub-problem and a main problem by using a Benders decomposition method; and the sub-problem and the main problem are solved to obtain the day-ahead operation plan of the hybrid energy storage power station.

[0015] Optionally, the solving the sub-problem and the main problem to obtain the day-ahead operation plan of the hybrid energy storage power station comprises:

[0016] Solving a lower bound initial value of the main problem; solving an upper bound value of the sub-problem; judging whether the upper bound value and the lower bound initial value coincide; if the upper bound value and the lower bound initial value coincide, obtaining the day-ahead operation plan of the mixed energy storage power station, otherwise adding a constraint to the main problem to update the lower bound initial value, iteratively performing a solving process until the upper bound value and the lower bound initial value coincide, and obtaining the day-ahead operation plan of the mixed energy storage power station.

[0017] The second aspect embodiment of the present application provides a compressed air energy storage compression side expansion stabilization device coupled with electrochemical energy storage, comprising:

[0018] A construction module is configured to establish a power grid day-ahead operation model of a compressed air energy storage system coupled with electrochemical energy storage; a conversion module is configured to convert the power grid day-ahead operation model into a mixed integer linear programming problem; and a solving module is configured to solve the mixed integer linear programming problem to obtain a day-ahead operation plan of a mixed energy storage power station.

[0019] The third aspect embodiment of the present application 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 compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage as described in the above embodiments.

[0020] The fourth aspect embodiment of the present application provides a computer program product, wherein the computer program / instructions are executed by a processor to implement the compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage as described above.

[0021] The fifth aspect embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the program is executed by a processor to implement the compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage as described above.

[0022] The compressed air energy storage compression side expansion stabilization method and device coupled with electrochemical energy storage provided by the embodiments of the present application can effectively expand the operation range of the energy storage side of the compressed air energy storage system, thereby avoiding the low-efficiency operation interval, reducing the occurrence of adverse conditions such as surge, and ensuring that the efficiency of the power system will not decrease, thereby meeting the flexibility requirements of large-scale new energy grid connection requirements.

[0023] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, taken in conjunction with the following drawings in which:

[0025] Figure 1 A flow chart of a compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage provided by an embodiment of the present application;

[0026] Figure 2 A power grid structure diagram of a compressed air energy storage system coupled with electrochemical energy storage provided by an embodiment of the present application;

[0027] Figure 3 A block schematic diagram of a compressed air energy storage compression side expansion stabilization device coupled with electrochemical energy storage provided by an embodiment of the present application.

[0028] Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0029] Embodiments of the present application are described in detail below with reference to examples illustrated in the accompanying drawings, in which the same or similar elements or elements having the same or similar functions are denoted by the same or similar reference numerals throughout. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0030] A compressed air energy storage compression side expansion stabilization method and device coupled with electrochemical energy storage of an embodiment of the present application are described below with reference to the accompanying drawings.

[0031] Figure 1 A flow chart of a compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage provided by an embodiment of the present application.

[0032] As shown in Figure 1 , the compressed air energy storage compression side expansion stabilization method coupled with electrochemical energy storage includes the following steps:

[0033] In step S101, a power grid day-ahead operation model of a compressed air energy storage system coupled with electrochemical energy storage is established.

[0034] In some embodiments, establishing the power grid day-ahead operation model of the compressed air energy storage system coupled with electrochemical energy storage includes:

[0035] The compressed air energy storage system coupled with electrochemical energy storage is constructed, wherein the compressed air energy storage system coupled with electrochemical energy storage includes electrochemical energy storage and compressed air energy storage;

[0036] The electrochemical energy storage is planned to receive power of new energy or a power grid in a charging working condition, and to supply the compressed air energy storage or the power grid in a power generation working condition;

[0037] The compressed air energy storage system coupled with the electrochemical energy storage system receives power from the electrochemical energy storage system, the new energy source or the power grid to charge the compressed air and the high-temperature heat conducting oil in the charging mode, and drives the turbine to generate electricity to supply the power grid by using the compressed air and the high-temperature heat conducting oil in the power generation mode.

[0038] The power grid day-ahead operation model of the planned compressed air energy storage system coupled with the electrochemical energy storage system is constructed.

[0039] In some embodiments, the power grid day-ahead operation model of the planned compressed air energy storage system coupled with the electrochemical energy storage system is constructed, including:

[0040] The power of the new energy output and the load of the planned compressed air energy storage system coupled with the electrochemical energy storage system is predicted to obtain the new energy output and load prediction data of the next day in the day-ahead.

[0041] Based on the new energy output and load prediction data of the next day, the state of charge constraint, the power balance constraint and the upper and lower bound constraint of each physical quantity of the compressed air energy storage system and the electrochemical energy storage system are comprehensively considered to construct the power grid day-ahead operation model with the minimum abandoned amount of the new energy as the target.

[0042] Specifically, as shown in Figure 2 the compressed air energy storage system coupled with the electrochemical energy storage system includes the electrochemical energy storage system and the compressed air energy storage system, and a part of the electrochemical energy storage system is planned to receive power from the new energy source or the power grid to increase the energy of the electrochemical energy storage system in the charging mode, and to supply the compressed air energy storage system or the power grid in the power generation mode; another part of the compressed air energy storage system is planned to receive power from the electrochemical energy storage system, the new energy source or the power grid to supplement the compressed air and the high-temperature heat conducting oil in the charging mode, and to drive the turbine to generate electricity to supply the power grid by using the compressed air and the high-temperature heat conducting oil in the power generation mode. In other words, the compressed air energy storage system coupled with the electrochemical energy storage system can be charged by using valley electricity, and because the compression side of the compressed air energy storage system has a considerable power limit, the electrochemical energy storage system is charged when the new energy source has less surplus power, the compressed air energy storage system is charged together with the electrochemical energy storage system when the new energy source has more surplus power, and the compressed air energy storage system is directly charged when the new energy source has very much surplus power, and the electrochemical energy storage system is charged at the same time if there is surplus.

[0043] Further, the compressed air energy storage system coupled with the electrochemical energy storage system can be quantitatively described as follows: assuming that the rated discharging power of the electrochemical energy storage system is the rated input power of the compressor is the new energy output is P n , the load is P load , and the output of the traditional unit is P th , the power required to be stored by the energy storage system when the new energy output is more is:

[0044] P in =P n -P load +P th (1)

[0045] Because the feasible region of the compression side of compressed air energy storage is narrow, it is necessary to determine the relationship between the system storage power P in and the rated power of the compressor. If P

[0046] is less than 0.85P (the lower limit of the safe charging power of a general compressor is 85% of the rated power), the charging power is entirely used to charge the electrochemical energy storage; if P is greater than 1.10P (the upper limit of the safe charging power of a general compressor is 110% of the rated power), the power grid and the electrochemical energy storage jointly charge the compressed air energy storage; if 0.85P

[0047] Further, the power of the new energy output and the load of the compressed air energy storage system after coupling the electrochemical energy storage is predicted and planned to obtain the new energy output and load prediction data of the next day in the day-ahead; then, based on the new energy output and load prediction data of the next day, a day-ahead hybrid energy storage power station operation planning model (i.e., a power grid day-ahead operation model) is established with the minimum abandonment of new energy as the target and by comprehensively considering the state of charge constraints, power balance constraints, and upper and lower bound constraints of each physical quantity of the compressed air energy storage and the electrochemical energy storage.

[0048] In step S102, the power grid day-ahead operation model is converted into a mixed integer linear programming problem.

[0049] In some embodiments, converting the power grid day-ahead operation model into a mixed integer linear programming problem includes:

[0050] linearizing the nonlinear terms in the power grid day-ahead operation model to obtain the mixed integer linear programming problem.

[0051] In actual execution, because the power grid day-ahead operation model is a mixed integer linear programming problem, the nonlinear terms therein need to be linearized, i.e., the entire model is converted into a mixed integer linear programming model.

[0052] The specific conversion process is as follows:

[0053]

[0054] The objective function formula (2) of the power grid day-ahead operation model is to minimize the new energy abandonment of the entire system; P t currepresents the abandonment amount of new energy at time t; constraint formula (3) is a power balance, which limits the generation and consumption of the entire power grid at time t to be balanced; P t n ,P t th ,P t load are the generation power and charging power of compressed air energy storage at time t, respectively, are the generation power and charging power of electrochemical energy storage at time t, respectively, is the output of new energy at time t, is the output of thermal power unit at time t, and is the load at time t; η dis ,η ch are the generation efficiency and charging efficiency of electrochemical energy storage, respectively; constraint formulas (4) and (5) limit the upper and lower limits of the charging and discharging power of compressed air energy storage and the charging and discharging power of electrochemical energy storage, respectively; are the lower and upper limits of the generation power and charging power of compressed air energy storage, respectively; are the lower and upper limits of the generation power and charging power of electrochemical energy storage, respectively; are state variables representing the generation and charging of compressed air energy storage at time t and the generation and charging of electrochemical energy storage at time t, and are Boolean variables, which are 1 when the two types of energy storage are in the corresponding working condition and are 0 when the two types of energy storage are not in the corresponding working condition. Constraint formulas (6), (7) and (8) constrain the energy storage condition changes of compressed air energy storage and electrochemical energy storage; represent the heat storage and gas storage states of compressed air energy storage at time t and the state of charge of electrochemical energy storage; Γ ch ,Γ dis are functions of the influence of charging and discharging power on the heat storage level of compressed air energy storage, which can be segmented and linearized as linear functions of ; Φ ch ,Φ dis are functions of the influence of charging and discharging power on the gas storage level of compressed air energy storage, which can be segmented and linearized as linear functions of ; constraint formula (9) constrains the upper and lower limits of the heat storage, gas storage and state of charge levels in the hybrid energy storage system; are the upper and lower limits of the heat storage and gas storage levels of compressed air energy storage and the upper and lower limits of the state of charge level of electrochemical energy storage; constraint formula (10) limits the working condition that compressed air energy storage and electrochemical energy storage cannot be in the charging and generation state at the same time.

[0055] In step S103, a mixed integer linear programming problem is solved to obtain a day-ahead operation plan of the hybrid energy storage power station.

[0056] In some embodiments, solving the mixed integer linear programming problem to obtain the day-ahead operation plan of the hybrid energy storage power station comprises:

[0057] The Benders decomposition method is used to decompose the mixed integer linear programming problem into a sub-problem and a master problem;

[0058] Solving the sub-problem and the master problem to obtain the day-ahead operation plan of the hybrid energy storage power station.

[0059] In some embodiments, solving the sub-problem and the master problem to obtain the day-ahead operation plan of the hybrid energy storage power station comprises:

[0060] Solving the lower bound initial value of the master problem;

[0061] Solving the upper bound value of the sub-problem;

[0062] Judging whether the upper bound value and the lower bound initial value coincide;

[0063] If the upper bound value and the lower bound initial value coincide, the day-ahead operation plan of the hybrid energy storage power station is obtained, otherwise, a constraint is added to the master problem to update the lower bound initial value, and the solving process is iteratively performed until the upper bound value and the lower bound initial value coincide, and the day-ahead operation plan of the hybrid energy storage power station is obtained.

[0064] In actual execution process, for the above-mentioned mixed integer linear programming problem, the Benders decomposition method is used to decompose it into a sub-problem and a master problem, the feasible region is reduced by continuously generating a feasible cut, and the distance between the upper and lower bounds is reduced, and finally the day-ahead operation plan of the hybrid energy storage power station is obtained.

[0065] The above-mentioned power grid day-ahead operation model of the compressed air energy storage system containing coupled electrochemical energy storage is a mixed integer linear programming model, which can be written in the following aggregate form:

[0066] min1 T P t cur (11)

[0067] s.t.Ay≥b(12)

[0068] Ex+Fy≥h(13)

[0069] The objective function formula (11) is consistent with the objective function formula (2); 1 T represents the transpose of a column vector whose elements are all 1. Formula (12) corresponds to constraint formula (10); A and b are the corresponding coefficients in constraint formula (10). Formula (13) corresponds to constraint formulas (3)-(9); E, F, and h are the corresponding coefficients in formulas (3)-(9). According to the Benders decomposition method, this problem can be decomposed into the following sub-problem and master problem.

[0070] Among them, the master problem is:

[0071] minz lower (14)

[0072] s.t.z lower ≥0,Ay≥b(15)

[0073] Sub-problem is:

[0074] min1 T P t cur (16)

[0075]

[0076] wherein, is the optimal solution obtained by solving the main problem.

[0077] Further, the lower bound initial value is obtained by solving the main problem first, and then the upper bound value is obtained by solving the sub-problem, if the upper and lower bounds coincide, then the optimal solution is the optimal solution of the original problem, if not, the following constraint is added to the main problem

[0078]

[0079] wherein, is the optimal solution of the dual problem of the sub-problem; then solve the main problem and update the lower bound. Repeat the above two steps to continuously generate feasible cuts to reduce the feasible region and reduce the distance between the upper and lower bounds, until the upper and lower bounds are equal, end the loop, thereby obtaining the optimal solution of the above model, that is, realizing the day-ahead operation plan of the mixed energy storage power station of the enhanced compressed air energy storage compression side stability domain.

[0080] In summary, the compressed air energy storage compression side stability expansion method coupled with electrochemical energy storage according to the embodiments of the present application can effectively expand the operating range of the energy storage side of the compressed air energy storage system, thereby avoiding the inefficient operating range and reducing the occurrence of surging and other adverse operating conditions, ensuring that the efficiency of the power system will not decrease, and meeting the flexibility requirements of large-scale new energy grid connection requirements.

[0081] Secondly, the coupling electrochemical energy storage compressed air energy storage compression side stability expansion device according to the embodiments of the present application is described with reference to the accompanying drawings.

[0082] Figure 3 is a block schematic diagram of the coupling electrochemical energy storage compressed air energy storage compression side stability expansion device according to the embodiments of the present application.

[0083] As Figure 3 shown, the coupling electrochemical energy storage compressed air energy storage compression side stability expansion device 30 includes a model building module 301, a conversion module 302 and a solving module 303.

[0084] The constructing module 301 is configured to establish a power grid day-ahead operation model of the compressed air energy storage system coupled with the electrochemical energy storage. The transforming module 302 is configured to transform the power grid day-ahead operation model into a mixed integer linear programming problem. The solving module 303 is configured to solve the mixed integer linear programming problem to obtain a day-ahead operation plan of the hybrid energy storage power station.

[0085] In some embodiments, the constructing module 301 comprises:

[0086] The first constructing unit is configured to construct the compressed air energy storage system coupled with the electrochemical energy storage, wherein the compressed air energy storage system coupled with the electrochemical energy storage comprises the electrochemical energy storage and the compressed air energy storage.

[0087] The first planning unit is configured to plan the electrochemical energy storage to receive power of the new energy or the power grid in a charging mode and supply the compressed air energy storage or the power grid in a power generation mode.

[0088] The second planning unit is configured to plan the compressed air energy storage to receive power of the electrochemical energy storage or the new energy or the power grid, supplement compressed air and high-temperature heat conducting oil in a charging mode, and drive a turbine to generate power by using the compressed air and the high-temperature heat conducting oil to supply the power grid in a power generation mode.

[0089] The second constructing unit is configured to construct a power grid day-ahead operation model of the compressed air energy storage system coupled with the electrochemical energy storage after planning.

[0090] In some embodiments, the second constructing unit comprises:

[0091] The predicting subunit is configured to predict power of the new energy output and the load of the compressed air energy storage system coupled with the electrochemical energy storage after planning, to obtain new energy output and load prediction data of the next day in the day-ahead.

[0092] The constructing subunit is configured to construct a power grid day-ahead operation model based on the new energy output and load prediction data of the next day, with the minimum abandonment of the new energy as the target, and comprehensively consider state of charge constraints, power balance constraints, and upper and lower bound constraints of each physical quantity of the compressed air energy storage and the electrochemical energy storage.

[0093] In some embodiments, the transforming module 302 comprises:

[0094] The nonlinear terms in the power grid day-ahead operation model are linearized to obtain the mixed integer linear programming problem.

[0095] In some embodiments, the solving module 303 comprises:

[0096] The decomposition unit is configured to decompose the mixed integer linear programming problem into a sub-problem and a main problem by using a Benders decomposition method.

[0097] a solving unit configured to solve the sub-problem and the main problem to obtain the day-ahead operation plan of the hybrid energy storage power station.

[0098] In some embodiments, the solving unit comprises:

[0099] a solving sub-unit configured to solve the lower bound initial value of the main problem and the upper bound value of the sub-problem;

[0100] a judging unit configured to judge whether the upper bound value and the lower bound initial value coincide, if the upper bound value and the lower bound initial value coincide, obtaining the day-ahead operation plan of the hybrid energy storage power station, otherwise adding a constraint to the main problem to update the lower bound initial value, iteratively performing the solving process until the upper bound value and the lower bound initial value coincide, obtaining the day-ahead operation plan of the hybrid energy storage power station.

[0101] It should be noted that the foregoing explanation of the method for expanding the stability of the compression side of the coupled electrochemical energy storage compressed air energy storage also applies to the device for expanding the stability of the compression side of the coupled electrochemical energy storage compressed air energy storage of this embodiment, which will not be described here again.

[0102] The device for expanding the stability of the compression side of the coupled electrochemical energy storage compressed air energy storage according to the embodiments of the present application can effectively expand the operating range of the energy storage side of the compressed air energy storage system, thereby avoiding the low-efficiency operating interval, reducing the occurrence of adverse conditions such as surging, and ensuring that the efficiency of the power system will not decrease, meeting the flexibility requirements of large-scale new energy grid connection requirements.

[0103] Figure 4 The structure schematic diagram of the electronic device provided by the embodiments of the present application is shown. The electronic device can include:

[0104] The memory 401, the processor 402, and the computer program stored in the memory 401 and executable on the processor 402.

[0105] The processor 402 implements the method for expanding the stability of the compression side of the coupled electrochemical energy storage compressed air energy storage provided in the above embodiments when executing the program.

[0106] Further, the electronic device further includes:

[0107] The communication interface 403 is configured to communicate between the memory 401 and the processor 402.

[0108] The memory 401 is configured to store the computer program executable on the processor 402.

[0109] The memory 401 can include a high-speed RAM memory, and can also include a non-volatile memory, such as at least one disk memory.

[0110] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected with each other through a bus and complete communication between 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, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 4 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0111] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can complete communication between each other through an internal interface.

[0112] The processor 402 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present application.

[0113] The embodiment of the present application further provides a computer program product, and the computer program / instruction is executed by the processor to realize the coupling electrochemical energy storage and compressed air energy storage compression side expansion stability method as above.

[0114] The embodiment of the present application further provides a computer readable storage medium, and the computer program is stored on the computer readable storage medium, and the program is executed by the processor to realize the coupling electrochemical energy storage and compressed air energy storage compression side expansion stability method as above.

[0115] In the description of the application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the application. The illustrative description of the above terms in the specification does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in one or N embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples, without contradiction.

[0116] In addition, the terms "first", "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the application, the meaning of "N" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0117] Any process or method descriptions in flow charts or described elsewhere herein can be understood as representing code modules, segments, or portions of code that include one or more executable instructions for performing specific logic functions or steps in the process, and the various embodiments of the application include additional implementations in which the order of steps can differ from those shown or described, including a step can occur at the same time as others or can be performed in reverse order or can be repeated, and additional steps can be performed, without departing from the scope of the application.

[0118] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or a combination of the above. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus or device. The computer readable medium can be a computer readable storage medium or a computer readable signal medium. The computer readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a propagation medium. The computer readable signal medium can include, but is not limited to, a computer readable medium that facilitates transfer of the program from one place to another. A specific example of a computer readable medium is a non-transitory computer-readable storage medium. A specific example of a computer readable signal medium is a source or destination of the computer readable medium. Another specific example of a computer readable signal medium is a computer readable signal travelling through space. Thus, a computer readable medium can take many forms of hardware to carry out the program for use by or in connection with the instruction execution system, apparatus or device.

[0119] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware and in another embodiment, the hardware can be implemented with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit(s) having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array(s) (PGA), a field programmable gate array (FPGA), etc.

[0120] Those of skill in the art would understand that the steps carried out in the above-mentioned embodiments can be implemented by a program instructing the relevant hardware to complete all or part of the steps, and the program can be stored in a computer readable storage medium. When the program is executed, it includes one of the steps of the method embodiments or a combination thereof.

[0121] In addition, each function unit in each embodiment of the present application can be integrated in one processing module, or each unit can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software function module. When the integrated module is realized in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0122] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for stabilizing the compression side of compressed air energy storage coupled with electrochemical energy storage, characterized in that, Includes the following steps: Establish a day-ahead operation model for the power grid that includes a compressed air energy storage system coupled with electrochemical energy storage, specifically including: Construct the compressed air energy storage system that includes coupled electrochemical energy storage, wherein the compressed air energy storage system that includes coupled electrochemical energy storage comprises electrochemical energy storage and compressed air energy storage; The electrochemical energy storage is designed to receive power from new energy sources or the power grid during charging, and to supply the compressed air energy storage or the power grid during power generation. The compressed air energy storage is designed to receive power supplement compressed air and high-temperature heat transfer oil from the electrochemical energy storage, the new energy source, or the power grid during the charging operation. During the power generation operation, the compressed air and high-temperature heat transfer oil are used to drive a turbine to generate electricity to supply the power grid. Constructing a day-ahead operation model for the planned compressed air energy storage system, including coupled electrochemical energy storage, specifically includes: The power output and load of the planned compressed air energy storage system, which includes coupled electrochemical energy storage, are predicted to obtain the predicted power output and load data for the next day. Based on the new energy output and load forecast data for the second day, with the goal of minimizing the amount of new energy discarded, and taking into account the state of charge constraints, power balance constraints, and upper and lower bound constraints of each physical quantity for compressed air energy storage and electrochemical energy storage, the day-ahead operation model of the power grid is constructed. The day-ahead operation model of the power grid is transformed into a mixed-integer linear programming problem, specifically including: The nonlinear terms in the day-ahead operation model of the power grid are linearized to obtain the mixed-integer linear programming problem; Solving the mixed-integer linear programming problem yields the day-ahead operation plan for the hybrid energy storage power station, specifically including: The mixed-integer linear programming problem is decomposed into subproblems and a main problem using the Benders decomposition method, specifically including: Find the initial value of the lower bound of the main problem; Find the upper bound of the subproblem; Determine whether the upper bound value and the lower bound initial value coincide; If the upper bound value and the lower bound initial value coincide, the day-ahead operation plan of the hybrid energy storage power station is obtained; otherwise, constraints are added to the main problem to update the lower bound initial value, and the solution process is iteratively executed until the upper bound value and the lower bound initial value coincide, thus obtaining the day-ahead operation plan of the hybrid energy storage power station. Solving the sub-problems and the main problem yields the day-ahead operation plan of the hybrid energy storage power station.

2. A compressed air energy storage compression-side stabilization device coupled with electrochemical energy storage, characterized in that it comprises: The building module is used to establish a day-ahead operation model of a compressed air energy storage system that includes coupled electrochemical energy storage. The building module includes: The first building unit is used to build a compressed air energy storage system that includes coupled electrochemical energy storage, wherein the compressed air energy storage system that includes coupled electrochemical energy storage includes electrochemical energy storage and compressed air energy storage. The first planning unit is used to plan the electrochemical energy storage to receive power from new energy sources or the grid during charging, and to supply compressed air energy storage or the grid during power generation. The second planning unit is used to plan compressed air energy storage to receive power supplements from electrochemical energy storage, new energy sources, or the power grid during charging, and to use compressed air and high-temperature heat transfer oil to drive a turbine to generate electricity and supply the power grid during power generation. The second building unit constructs a day-ahead operation model of the grid, which includes a planned compressed air energy storage system coupled with electrochemical energy storage. This second building unit comprises: The prediction subunit is used to predict the power output and load of the planned compressed air energy storage system that includes coupled electrochemical energy storage, so as to obtain the predicted power output and load data for the next day. Sub-units are constructed to build a day-ahead operation model of the power grid based on the new energy output and load forecast data of the next day, with the goal of minimizing the amount of new energy discarded, and comprehensively considering the state of charge constraints, power balance constraints, and upper and lower bound constraints of each physical quantity of compressed air energy storage and electrochemical energy storage. A transformation module is used to transform the day-ahead operation model of the power grid into a mixed-integer linear programming problem, wherein the transformation module includes: The nonlinear terms in the day-ahead operation model of the power grid are linearized to obtain a mixed-integer linear programming problem; The solution module is used to solve the mixed-integer linear programming problem to obtain the day-ahead operation plan of the hybrid energy storage power station. The solution module includes: A decomposition unit, used to decompose a mixed-integer linear programming problem into subproblems and a main problem using the Benders decomposition method, wherein the decomposition unit comprises: Solve the sub-cells to find the lower bound initial value of the main problem and the upper bound value of the subproblems; The judgment sub-unit is used to determine whether the upper bound value and the lower bound initial value coincide. If the upper bound value and the lower bound initial value coincide, the day-ahead operation plan of the hybrid energy storage power station is obtained. Otherwise, constraints are added to the main problem to update the lower bound initial value. The solution process is iteratively executed until the upper bound value and the lower bound initial value coincide, and the day-ahead operation plan of the hybrid energy storage power station is obtained. The solution unit is used to solve the subproblems and the main problem to obtain the day-ahead operation plan of the hybrid energy storage power station.

3. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and executable on the processor, the processor executing the program to implement the compressed air energy storage compression-side stabilization method coupled with electrochemical energy storage as described in claim 1.

4. A computer program product, characterized in that, When the computer program / instruction is executed by the processor, it implements the compressed air energy storage compression-side stabilization method of claim 1, which is coupled with electrochemical energy storage.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the compressed air energy storage compression-side stabilization method coupled with electrochemical energy storage as described in claim 1.

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