Compressed air energy storage power station tunnel type gas storage cavern group design method and device

Abstract

The invention relates to the technical field of compressed air energy storage, and discloses a compressed air energy storage power station tunnel type gas storage cavern group design method and device, and the method comprises the steps: determining the storage capacity constraint based on the installation design parameters of a compressed air energy storage power station; the reservoir capacity constraint is used for indicating the minimum reservoir capacity of the energy storage power station; based on the engineering geological parameters of the gas storage cavern and the preset cavern diameter of the gas storage cavern, determining a burial depth constraint and a lining constraint; the burial depth constraint is used for indicating the minimum burial depth of the gas storage cavern; the lining constraint is used for indicating the minimum lining thickness of the gas storage cavern; based on the burial depth constraint and the lining constraint, determining a hole spacing constraint; determining a total length constraint based on the reservoir capacity constraint and the lining constraint; determining the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cavern spacing constraint; and based on the preset hole diameter, determining the corresponding burial depth, lining thickness, hole spacing, total length, hole number, land area and land width to generate a hole group arrangement scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of compressed air energy storage, and in particular to a design method and device for a cavern group of tunnel-type gas storage reservoirs in a compressed air energy storage power station. Background Art

[0002] Compressed air energy storage technology has become an important support for new power systems due to its multiple functions. As the core component of a compressed air energy storage power station, the rationality of its design is directly related to the safety and economy of the power station. In particular, as a large underground space, the tunnel-type gas storage is composed of multiple array-arranged caverns. Its design needs to cope with the mutual disturbance effect of the caverns under the alternating high-pressure circulation, which is significantly different from the design of conventional underground tunnels.

[0003] At present, relevant technologies have solved the problem of how to design a cavern group layout method suitable for compressed gas energy storage technology, taking into account the mutual constraints of burial depth, cave diameter, and cave spacing, and achieving the technical effect of improving the safety and stability of gas storage cavern groups. However, there are still deficiencies, which leads to limitations in the reliability of the design scheme. First, in terms of design efficiency, traditional methods rely on numerical simulation, which takes a long time to calculate and is greatly affected by model accuracy; secondly, the lining layer is an important component of the hard rock gas storage cavern, and its thickness not only affects the effective storage capacity, but also involves the internal pressure sharing under different working conditions. However, relevant technical designs often ignore this factor, resulting in larger design results; finally, relevant technologies mostly reversely calculate the storage capacity from the stability of the cavern, and the storage capacity is not associated with parameters such as energy storage duration and operating pressure.

[0004] In view of this, a gas storage cavern group layout design method that considers more mutual constraints of parameters is needed to improve the reliability of gas storage cavern group design. Summary of the invention

[0005] In view of this, the present invention provides a design method and device for a tunnel-type gas storage cavern group of a compressed air energy storage power station to improve the reliability of the designed cavern group.

[0006] In a first aspect, the present invention provides a method for designing a cavern group of a tunnel-type gas storage reservoir of a compressed air energy storage power station, the method comprising: determining a storage capacity constraint based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station; determining a burial depth constraint and a lining constraint based on the engineering geological parameters of the gas storage reservoir cavern and a preset cavern diameter of the gas storage reservoir cavern; the burial depth constraint is used to indicate the minimum burial depth of the gas storage reservoir cavern; the lining constraint is used to indicate the minimum lining thickness of the gas storage reservoir cavern; determining a cave spacing constraint based on the burial depth constraint and the lining constraint; determining a total length constraint based on the storage capacity constraint and the lining constraint; determining the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cave spacing constraint; determining the corresponding burial depth, lining thickness, cave spacing, total length, as well as the number of caverns, the land area and the land width based on the preset cavern diameter to generate a cavern group layout plan.

[0007] In a second aspect, the present invention provides a device for designing a cavern group of a tunnel-type gas storage reservoir of a compressed air energy storage power station, the device comprising: a storage capacity determination module, used to determine storage capacity constraints based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraints are used to indicate the minimum storage capacity of the energy storage power station; a constraint determination module, used to determine the burial depth constraints and lining constraints based on the engineering geological parameters of the gas storage reservoir cavern and the preset cavern diameter of the gas storage reservoir cavern; the burial depth constraints are used to indicate the minimum burial depth of the gas storage reservoir cavern; the lining constraints are used to indicate the minimum lining thickness of the gas storage reservoir cavern; a cave spacing determination module, used to determine the cave spacing constraints based on the burial depth constraints and the lining constraints; a total length determination module, used to determine the total length constraints based on the storage capacity constraints and the lining constraints; a cavern determination module, used to determine the number of caverns and the land area based on the total length constraints, the burial depth constraints and the cave spacing constraints; a scheme generation module, used to determine the corresponding burial depth, lining thickness, cave spacing, total length, as well as the number of caverns, the land area and the land width based on the preset cavern diameter to generate a cavern group layout scheme.

[0008] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute a method for designing a tunnel-type gas storage chamber group of a compressed air energy storage power station according to the first aspect or any corresponding embodiment thereof.

[0009] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute a method for designing a cavern group of tunnel-type gas storage reservoirs for a compressed air energy storage power station according to the first aspect or any corresponding embodiment thereof.

[0010] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute a method for designing a cavern group of tunnel-type gas storage reservoirs for a compressed air energy storage power station according to the first aspect or any corresponding embodiment thereof.

[0011] The method for designing the layout of cavern groups of tunnel-type gas storage reservoirs for compressed air energy storage power stations proposed in the present invention takes into account the coordination and correlation among parameters such as burial depth, surrounding rock diameter, surrounding rock type, surrounding rock stress conditions, minimum storage capacity, operating pressure, operating working gas quality, operating gas temperature, lining layer, total length, number of caverns, and cave spacing, divides different operating conditions (without internal pressure and with internal pressure), takes the mutual coupling influence of various parameters as constraints, and establishes a forward design technology with power station planning as a prerequisite, which not only meets the stability and safety of the gas storage reservoir, but also meets the requirements for gas pressure, gas volume, and operating time during operation, thereby improving design efficiency and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 It is a flow chart of a method for designing a cavern group of a tunnel-type gas storage reservoir for a compressed air energy storage power station according to an embodiment of the present invention;

[0014] Figure 2 is B under typical pressure-temperature according to an embodiment of the present invention g Trend chart;

[0015] Figure 3 is a force analysis diagram of a cavern lining according to an embodiment of the present invention;

[0016] Figure 4 is a schematic diagram of two working conditions of the lining according to an embodiment of the present invention;

[0017] Figure 5 is a schematic diagram of the internal pressure sharing of surrounding rocks under additional stress constraints according to an embodiment of the present invention;

[0018] Figure 6 is a schematic diagram of the dimensions of a cavern according to an embodiment of the present invention;

[0019] Figure 7 It is a structural block diagram of a device for designing a cavern group of a tunnel-type gas storage reservoir for a compressed air energy storage power station according to an embodiment of the present invention;

[0020] Figure 8 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0022] An embodiment of the present invention provides a method for designing a cavern group of a tunnel-type gas storage reservoir of a compressed air energy storage power station. By comprehensively considering the coordination and correlation between multiple parameters such as burial depth, cave diameter, lining thickness, and cave spacing, a reasonable cavern group layout plan is designed to improve design efficiency, ensure the stability and safety of the gas storage reservoir, and meet the requirements for air pressure, gas volume, and operating time during the operation of the power station.

[0023] According to an embodiment of the present invention, an embodiment of a method for designing a cavern group of tunnel-type gas storage chambers for a compressed air energy storage power station is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0024] In this embodiment, a method for designing a cavern group of tunnel-type gas storage reservoirs for a compressed air energy storage power station is provided. Figure 1 : is a flow chart of a method for designing a cavern group of a tunnel-type gas storage reservoir in a compressed air energy storage power station according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0025] Step S101, determining a storage capacity constraint based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station.

[0026] Specifically, the installed capacity design parameters in the design of compressed air energy storage power stations refer to the key parameters that determine the basic operating characteristics and energy storage capacity of the power station. In the design of compressed air energy storage power stations, the minimum storage capacity refers to the minimum air storage space required for the normal operation of the power station. It is an important constraint condition for the design of the gas storage cavern group, namely the storage capacity constraint. This step ensures that the designed gas storage can meet the energy storage and release needs of the power station.

[0027] Step S102, based on the engineering geological parameters of the gas storage cavern and the preset cave diameter of the gas storage cavern, determine the burial depth constraint and the lining constraint; the burial depth constraint is used to indicate the minimum burial depth of the gas storage cavern; the lining constraint is used to indicate the minimum lining thickness of the gas storage cavern.

[0028] Specifically, the project address parameters refer to the geotechnical engineering parameters related to the construction site. The cavern size initially set during the design phase of the gas storage cavern is the preset cavern diameter. The minimum burial depth refers to the minimum underground depth that the gas storage cavern must reach. The minimum lining thickness refers to the minimum thickness that the inner wall lining of the gas storage cavern must reach.

[0029] According to the cave excavation cost and construction working space, several tunnel diameter schemes are initially proposed (under the premise of meeting the burial depth conditions and surrounding rock strength, there must be a critical tunnel diameter that meets the stability of the cavern. Therefore, meeting the mechanical conditions is a necessary condition for the tunnel diameter scheme. On this basis, the tunnel diameter size is selected considering the construction cost and working space requirements). Preferably, 5 to 15m is appropriate, and the tunnel diameter R=5m, 10m, and 15m can be selected as the proposed values.

[0030] Step S103, determining the hole spacing constraint based on the burial depth constraint and the lining constraint.

[0031] Specifically, by analyzing the influence of burial depth and lining thickness on the interaction between caverns, the minimum cave spacing that meets the constraints of additional stress and surrounding rock displacement is calculated using mechanical models and numerical simulation methods.

[0032] Step S104: determining the total length constraint based on the storage capacity constraint and the lining constraint.

[0033] Specifically, the total length of the gas storage required to meet the minimum storage capacity is obtained by combining the storage capacity constraints and lining constraints.

[0034] Step S105, determining the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cave spacing constraint.

[0035] Specifically, based on the total length constraints, burial depth constraints, and hole spacing constraints, combined with the actual available area of ​​the proposed site, the required number of caverns and the total land area are determined through layout optimization and area calculation.

[0036] Step S106, based on the preset tunnel diameter, determine the corresponding burial depth, lining thickness, tunnel spacing, total length, number of caverns, land area and land width to generate a cavern group layout plan.

[0037] Specifically, the final cavern group layout plan is generated by integrating the results of all the above steps, namely the burial depth, lining thickness, cave spacing, total length, number of caverns, land area and land width corresponding to the preset cavern diameter.

[0038] The present embodiment provides a method for designing a cavern group of tunnel-type gas storage reservoirs for a compressed air energy storage power station, which comprehensively considers the energy storage requirements of the power station, the stability requirements of the caverns, and the actual conditions of the site, and provides a scientific basis for the design of tunnel-type gas storage reservoirs for compressed air energy storage power stations. By implementing the method provided in this embodiment, the design efficiency and operational safety of compressed air energy storage power stations can be significantly improved.

[0039] In some optional implementations, the above step S101 determines the storage capacity constraint based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station and includes the following steps:

[0040] Step a11, the installation design parameters include operating pressure, gas velocity, operating time, operating working gas quality and operating gas temperature.

[0041] Specifically, the operating pressure refers to the pressure range of the gas in the gas storage reservoir during the operation of the compressed air energy storage power station, which usually includes the maximum value P during energy storage. max and the minimum value P when releasing energy min The gas velocity includes the gas injection velocity v during energy storage. max and the gas extraction speed v during energy release min The gas injection rate determines the speed of the energy storage process, while the gas extraction rate affects the rate of the energy release process. The operation time includes the energy storage time T max and energy release time T min . The energy storage duration refers to the time required for the system to absorb excess electrical energy from the grid off-peak period and convert it into compressed air, while the energy release duration refers to the time it takes for the system to release the stored energy to meet demand during the grid peak period. The operating working gas mass m0 (gas velocity × duration) refers to the total mass of gas involved in the operation of the power station, which directly affects the energy storage and release capacity of the power station. The operating gas temperature (x℃, the actual gas temperature in the gas storage reservoir, which is related to the heat exchange process and the on-site ground temperature conditions. According to numerical simulation calculations, it is generally 20-100℃) is the temperature of the gas in the gas storage reservoir and is also one of the important operating parameters. Affected by multiple factors such as ambient temperature, thermal effects during compression, and heat exchange processes of the power station, the gas temperature affects the density and compressibility of the gas. The installed design parameters are interrelated and mutually influential, and jointly determine the performance of the compressed air energy storage power station. Therefore, when designing the gas storage cavern group, it is necessary to fully consider the requirements of these parameters to ensure that the power station can meet the predetermined operating conditions and performance indicators.

[0042] Step a12, performing a first calculation on the installation design parameters to obtain the minimum storage capacity and storage capacity constraints.

[0043] Specifically, the first calculation of the installed design parameters is mainly to determine the minimum storage capacity V required for the compressed air energy storage power station. min , and based on this, establish the storage capacity constraint condition V ≥ V min .

[0044] Specifically, the minimum storage capacity V min The calculation process is as follows:

[0045] P max , under x℃ condition, the gas storage pressure satisfies:

[0046]

[0047] Where: m1 is P max , the air quality in the gas storage under x℃ conditions, M is the molar mass of air 29g / mol, and R is a constant 8.31J / (mol·K).

[0048] P min , x℃ condition, the gas storage pressure satisfies:

[0049]

[0050] Where: m2 is P min , air quality in the gas storage under x℃ conditions.

[0051] At the same time, meet:

[0052] m2=m1-m0

[0053] m0=v max ·T max =v min ·T min

[0054] Combining the above three equations, we can solve m1 and m2.

[0055] Substituting x℃, we can get V min , or use the coefficient conversion method to calculate V min ,as follows:

[0056]

[0057] Where: r is the density of air under standard conditions, 1.29kg / m 3 , B g is the volume coefficient, according to Table 1 and Figure 2 Value:

[0058] Table 1 Typical pressure-temperature B g Value table

[0059]

[0060] The calculation example is as follows:

[0061] According to the installed design parameters of the compressed air energy storage power station, the minimum storage capacity V is designed. min , establish the storage capacity constraint condition V ≥ V min , including the maximum pressure condition constraint for energy storage and the minimum pressure condition constraint for energy release;

[0062] Installation design parameters:

[0063] Operating pressure: Maximum value P during energy storage max =10MPa, minimum value P when releasing energy min =7.5MPa

[0064] Gas velocity: gas injection velocity v during energy storage max =135kg / s, gas extraction speed v during energy release min =270kg / s

[0065] Running time: Energy storage time T max =8h, energy release time T min =4h

[0066] Operating working gas quality m0 = 4000t,

[0067] Operating gas temperature x = 50°C

[0068] Gas storage pressure meets:

[0069]

[0070] At the same time, meet:

[0071] m2=m1-m0

[0072] Where: m1 is P max , the air quality in the gas storage under x℃ condition, m2 is P min , the air quality in the gas storage under x℃ condition, M is the molar mass of air 29g / mol, It is a constant 8.31 J / (mol·K).

[0073] P max =10MPa, P min =7.5MPa, m0=4000t Substituting into the above formula, we can solve m1=16000t, m2=12000t.

[0074] Substituting x = 50°C, we get V min =14.8×10 4 m 3 ;

[0075] r=1.29kg / m 3 , B g =90.7, using the coefficient conversion method, we can get V min =13.7×10 4 m 3 .

[0076] Take the maximum value of the two V min =14.8×10 4 m 3 .

[0077] This implementation method aims to ensure that the gas storage of the compressed air energy storage power station can effectively store and release compressed air energy according to the predetermined operating parameters. Through this calculation, key data support and constraints can be provided for the subsequent design of the gas storage cavern group.

[0078] In some optional implementations, the burial depth constraint in step S102 is used to indicate the minimum burial depth of the gas storage cavern, including:

[0079] The depth constraint is used to indicate the minimum depth of burial under limit equilibrium constraint conditions.

[0080] Specifically, in a compressed air energy storage power station, the gas storage cavern will be subject to significant internal pressure under the action of high air pressure, which may cause the overlying rock mass of the cavern to tend to move upward. In order to ensure the stability of the cavern, it is necessary to conduct a limit equilibrium analysis based on the principles of mechanics and establish a limit equilibrium equation including the deadweight of the overlying rock mass of the cavern, the shear force of the fracture surface and the internal pressure of the cavern. By solving this equation, the minimum burial depth (denoted as H1) required to meet the limit equilibrium conditions can be obtained. This minimum burial depth ensures that under the action of high air pressure, the cavern will not become unstable due to the lifting of the overlying rock mass.

[0081] The burial depth constraint is used to indicate the minimum burial depth under the constraints of surrounding rock grade and fracture development.

[0082] Specifically, in addition to the influence of internal pressure, the stability of the cavern is also affected by the properties of the surrounding rock itself. The grade of the surrounding rock (such as Class I, II, and III) and the degree of crack development are directly related to the integrity and strength of the rock mass. Therefore, during the design process, it is also necessary to determine the burial depth constraint based on the specific conditions of the surrounding rock. For Class I and II surrounding rocks that are hard and crack-free, they have a strong ability to resist deformation and destruction, and the required burial depth may be relatively small; while for Class III surrounding rocks with developed cracks and joints, a greater burial depth is required to ensure the stability of the cavern (denoted as H2). This minimum burial depth is determined based on the physical and mechanical properties of the surrounding rock and the development of cracks.

[0083] Specifically, the calculation process of the burial depth constraint condition H≥[H1,H2] is as follows:

[0084] Obtain the engineering geological parameters of the proposed site, design the safe burial depth of a certain tunnel diameter under operating pressure, and establish the burial depth constraint condition H≥[H1,H2] related to the tunnel diameter, including the limit equilibrium constraint and the constraint of considering the surrounding rock grade and crack development, and take the maximum value of the two.

[0085] ①Limit equilibrium constraint: internal pressure P max Under the action, the overlying rock mass of the cave has an upward movement trend. Based on the wedge failure model, the limit equilibrium equation of the overlying surrounding rock deadweight, fracture surface shear force and internal pressure of the cave is established (see the force analysis for details). Figure 3 ), which takes into account parameters such as internal pressure, surrounding rock failure angle, surrounding rock density, cohesion, internal friction angle, and hole diameter.

[0086] W+2Tcosα=2R·P max +2F τ sinα

[0087] W=γH1(2R+H1tanα)

[0088]

[0089] Where: R is the initial diameter of S-2; W is the deadweight of the rock mass overlying the cavern; F τ is the normal pressure of the wedge under the surrounding rock; T is the passive shear force of the wedge under the surrounding rock, which is downward; l is the lateral pressure coefficient; γ is the weight of the surrounding rock; c is the cohesion of the surrounding rock; is the internal friction angle of the surrounding rock; α is the failure angle of the surrounding rock, H1 is the burial depth that satisfies the limit equilibrium constraint.

[0090] Combining the above equations and simplifying them, we get the burial depth that satisfies the following equation:

[0091] k1H1 2 +k2H1-P max =0

[0092]

[0093] ② Consider the surrounding rock grade and the burial depth constraints of fracture development. This constraint also takes into account the internal pressure and hole diameter.

[0094] Hard and crack-free Class I and II surrounding rocks:

[0095]

[0096] Class III surrounding rock with developed cracks and joints:

[0097]

[0098] The calculation example is as follows:

[0099] ① Limit equilibrium constraint:

[0100] Design parameters: Class III limestone, surrounding rock failure angle α = 30°, surrounding rock mass γ = 25 kN / m 3 , cohesion c = 0.7MPa, internal friction angle Side pressure coefficient l=0.3.

[0101] Substitute the following formula:

[0102] k1H1 2 +k2H1-P max =0

[0103]

[0104] ② Consider the constraints of surrounding rock grade and burial depth of crack development.

[0105] Hard and crack-free Class I and II surrounding rocks:

[0106]

[0107] Class III surrounding rock with developed cracks and joints:

[0108]

[0109] It can be obtained that the values ​​of H1 and H2 are shown in Table 2:

[0110] Table 2 H1 and H2 values ​​for preset hole diameters

[0111] R / m 5 10 15 <![CDATA[H1 / m]]> 44 69 72 <![CDATA[H2 / m]]> 109 151 182

[0112] Note: H does not take into account the safety factor.

[0113] Take the maximum value of the two: H=109m (R=5m), 151m (R=10m), 182m (R=15m).

[0114] This implementation method ensures that the cavern can maintain stable and safe operation under various possible working conditions. At the same time, reasonable burial depth design can also effectively reduce construction difficulty and cost, and improve overall economic benefits.

[0115] In some optional implementations, the lining constraint in step S102 is used to indicate the minimum lining thickness of the gas storage cavern and further includes:

[0116] Lining constraints are used to indicate that the lining thickness in the no internal pressure condition meets the external pressure requirements.

[0117] Specifically, under the condition of no internal pressure, there is no air pressure inside the cavern, and the lining is mainly subjected to external pressure from the rock mass around the cavern. In order to ensure the stability and safety of the lining, its thickness design must meet the requirements of bearing external pressure. The loose pressure of the rock mass around the cavern is calculated, and the required lining thickness is determined in combination with the mechanical properties of the lining material (such as axial compressive strength). The purpose is to prevent the lining from being damaged or deformed under the action of external pressure, thereby ensuring the stability of the cavern.

[0118] Lining constraints are also used to ensure that the lining thickness meets the load-bearing tensile strength conditions in the case of internal pressure.

[0119] Specifically, under internal pressure conditions, there is a high air pressure inside the cavern. At this time, the lining needs to withstand not only the external pressure from the surrounding rock mass, but also the tensile force generated by the internal air pressure. Since the hoop stress generated by air pressure on the inner wall of the lining is often the largest, the tensile strength of the lining becomes an important consideration in the design. In order to ensure the stability of the lining under internal pressure conditions, its thickness design must meet the conditions of bearing tensile strength.

[0120] Specifically, the calculation process of the lining constraint condition t≥[t1,t2] is as follows:

[0121] According to the engineering geological parameters and the tunnel diameter, the lining constraint condition t≥[t1,t2] is established, including the constraint of the working condition without internal pressure and the constraint of the working condition with internal pressure, and the maximum value of the two is taken to meet the lining stability under the two working conditions;

[0122] like Figure 4 As shown:

[0123] ① Under the condition of no internal pressure, the lining should meet the requirements of bearing external pressure, and the thickness should meet the following formula:

[0124]

[0125] Where: t1 is the lining thickness, f ck is the axial compressive strength of the lining, obtained according to the compression test of the standard sample; q c is the loosening pressure of the surrounding rock of the deep-buried cavern (no radial expansion occurs at this time, that is, there is no elastic resistance of the surrounding rock), q c =λγ·0.45·2 i -1 (1+2n(R-2.5)), where λ is the lateral pressure coefficient, takes the actual value when λ>1, and takes the integer 1 when λ<1; i is the surrounding rock grade; n is the adjustment coefficient, n=0.2 when R>2.5m, and n=0.1 when R<2.5m.

[0126] ② Under internal pressure conditions, the lining bears the combined effect of the internal gas pressure of the gas storage reservoir and the elastic resistance of the external surrounding rock, and should meet the tensile strength requirements.

[0127] According to elastic theory, under the action of internal and external pressure, the radial stress σ at any radius r within the lining thickness is r and hoop stress σ t for:

[0128]

[0129] Where: r i is the inner radius of the lining, P i is the elastic resistance of surrounding rock.

[0130] According to the deformation compatibility condition between the outer wall of the lining and the inner wall of the surrounding rock, the relationship between the internal pressure and the external pressure can be obtained:

[0131]

[0132] Where: E l , μ l is the elastic modulus and Poisson's ratio of the lining; k is the elastic resistance coefficient of the surrounding rock, E and μ are the elastic modulus and Poisson’s ratio of the surrounding rock.

[0133] The hoop stress of the inner wall of the lining is the largest and is most susceptible to tensile failure, which leads to:

[0134]

[0135] r i =R-t2

[0136] Where: f tk is the axial tensile strength of the lining.

[0137] The lining thickness is:

[0138]

[0139] The calculation example is as follows:

[0140] ① Under the condition of no internal pressure, the lining should meet the requirements of bearing external pressure, and the thickness should meet the following formula:

[0141]

[0142] Where: t1 is the lining thickness, f ck is the axial compressive strength of the lining, obtained according to the compression test of the standard sample; q c is the loosening pressure of the surrounding rock of the deep-buried cavern (no radial expansion occurs at this time, that is, there is no elastic resistance of the surrounding rock), q c =λγ·0.45·2 i -1(1+2n(R-2.5)), where l is the lateral pressure coefficient, when l>1, it takes the actual value, and when l<1, it takes the integer 1; i is the surrounding rock grade; n is the adjustment coefficient, when R>2.5m, n=0.2, when R<2.5m, n=0.1.

[0143] ② Under internal pressure conditions, the lining bears the combined effect of the internal gas pressure of the gas storage reservoir and the elastic resistance of the external surrounding rock, and should meet the tensile strength conditions.

[0144]

[0145]

[0146] Parameters required for design: axial compressive strength of lining f ck =15MPa, axial tensile strength of lining f tk =130MPa, elastic modulus E of lining l =30GPa, lining Poisson's ratio μ l =0.2, the elastic modulus E of the surrounding rock is 12GPa, and the Poisson's ratio μ l =0.2, the elastic resistance coefficient of surrounding rock k is =(10000 / R)MPa / m.

[0147] It can be obtained that the values ​​of t1 and t2 are shown in Table 3:

[0148] Table 3 t1 and t2 values ​​for preset hole diameters

[0149] R / m 5 10 15 <![CDATA[t1 / m]]> 0.03 0.13 0.28 <![CDATA[t2 / m]]> 0.37 0.74 1.10

[0150] Take the maximum value of the two t=0.37m (R=5m), 0.74m (R=10m), and 1.1m (R=15m).

[0151] This implementation method enables the lining to effectively protect the cavern structure under different working conditions and prevent it from being damaged by external or internal pressure, thereby ensuring the long-term stable operation of the tunnel-type gas storage cavern group of the compressed air energy storage power station.

[0152] In some optional implementations, the above step S103 determines the hole spacing constraint based on the burial depth constraint and the lining constraint, including the following steps:

[0153] Step b11, calculate the internal pressure sharing rate of the surrounding rock.

[0154] Specifically, under internal pressure conditions, the lining will bear part of the internal pressure, and the surrounding rock will also bear part of it. By calculating the internal pressure sharing rate of the surrounding rock, we can understand the actual stress borne by the surrounding rock. This sharing rate is related to the stiffness of the lining and the stiffness of the surrounding rock, and the specific value needs to be obtained through mechanical analysis or numerical simulation.

[0155] Step b12, obtaining the displacement of the surrounding rock under the action of internal and external pressures.

[0156] Specifically, after determining the internal pressure sharing ratio, it is necessary to further analyze the displacement of the surrounding rock under the combined action of internal and external pressures.

[0157] Step b13, based on the internal pressure sharing rate and the surrounding rock displacement, determine the additional stress constraint and the surrounding rock displacement constraint; the hole spacing constraint is used to indicate the minimum hole spacing under the additional stress constraint; the hole spacing constraint is used to indicate the minimum hole spacing under the surrounding rock displacement constraint.

[0158] Specifically, additional stress is the change in the internal stress of the surrounding rock caused by internal pressure. By considering the internal pressure sharing rate and the original stress state of the surrounding rock, the distribution of additional stress in the surrounding rock can be calculated. The displacement constraint of the surrounding rock also needs to be considered. Excessive displacement of the surrounding rock may cause deformation or damage to the cavern. Therefore, the displacement equation and displacement boundary conditions need to be used to determine the hole spacing that meets the displacement constraint. Additional stress constraints ensure that the additional stresses between adjacent caverns will not be superimposed on each other and cause surrounding rock damage. Surrounding rock displacement constraints ensure that the displacement of the surrounding rock under the action of internal and external pressures will not be too large, thereby preventing deformation or damage to the cavern.

[0159] Specifically, the calculation process of the hole spacing constraint s≥[s1,s2] is as follows:

[0160] According to the burial depth constraint and lining constraint, the surrounding rock stress field boundary under the maximum operating pressure condition is designed, and the hole spacing constraint s≥[s1,s2] is established, including additional stress constraint and surrounding rock displacement constraint;

[0161] like Figure 5 As shown:

[0162] ① Additional stress constraints:

[0163] a. According to the lining constraint conditions established under internal pressure conditions, calculate the internal pressure sharing rate λ0 of the surrounding rock and determine the actual stress P acting on the surrounding rock. i '; Its size is similar to P i Equal, opposite direction:

[0164] P i '=-P i =-λ0P max

[0165] b. Establish the boundary equation of the original stress of surrounding rock and the additional stress of surrounding rock by internal pressure:

[0166] r e It is the boundary where the internal pressure additional stress acts, and the original stress at this point is:

[0167]

[0168] Additional stress on the inner wall of the cave caused by internal pressure:

[0169] σ r | r＝R =-P i '

[0170] σ t | r＝R =P i '

[0171] c. According to Kirsch formula and superposition principle, [R,r e ] range, the stress solution at any radius r of the surrounding rock:

[0172]

[0173] d. From the above formula, we can see that r(r e )→∞, the additional stress is 0, that is, the mathematical expression cannot be used to obtain the analysis of the boundary where the stress is 0; according to Saint-Venant’s principle, the internal pressure load only affects the stress distribution near the cavern, and when the elastic modulus is large (such as hard rock), the elastic modulus has almost no effect on the affected range, that is, it is preferred to select r e =4~6R is the boundary where the additional stress is 0, then the hole spacing s1≥8~12R is the additional stress constraint condition.

[0174] ②Surrounding rock displacement constraints:

[0175] The above is to solve the hole spacing through stress solution. At the same time, the boundary where the displacement is 0 can be determined according to the surrounding rock displacement solution under the action of internal and external pressure:

[0176] a. By solving the stress equation, we can get the displacement equation at any radius r in the surrounding rock:

[0177]

[0178] Where: λ is the lateral pressure coefficient, when λ<1, it takes the actual value, and when λ>1, it takes the integer 1;

[0179] b. Displacement boundary equation:

[0180]

[0181] c. Substitute the displacement boundary equation into the displacement equation to obtain the displacement constraint condition:

[0182]

[0183] s2≥2r e

[0184] The calculation example is as follows:

[0185] ① Additional stress constraints:

[0186] a. According to the lining constraint conditions established under internal pressure conditions, calculate the internal pressure sharing rate λ0 of the surrounding rock and determine the actual stress P acting on the surrounding rock. i '; Its size is similar to P i Equal, opposite direction:

[0187] P i '=-P i =-λ0P max

[0188] It can be obtained that the internal pressure sharing ratio under the preset hole diameter and constraint conditions is shown in Table 4:

[0189] Table 4 Internal pressure sharing ratio under preset hole diameter and constraint conditions

[0190]

[0191] b. Establish the boundary equation of the original stress of surrounding rock and the additional stress of internal pressure on surrounding rock:

[0192] r e It is the boundary where the internal pressure additional stress acts, and the original stress at this point is:

[0193]

[0194] Additional stress on the inner wall of the cave caused by internal pressure:

[0195] σ r | r＝R =-P i '

[0196] σ t | r＝R =P i '

[0197] c. According to Kirsch formula and superposition principle, [R, r e ] range, the stress solution at any radius r of the surrounding rock:

[0198]

[0199] d. From the above formula, we can see that r(r e )→∞, the additional stress is 0, that is, the mathematical expression cannot be used to obtain the analysis of the boundary where the stress is 0; according to Saint-Venant’s principle, the internal pressure load only affects the stress distribution near the cavern, and when the elastic modulus is large (such as hard rock), the elastic modulus has almost no effect on the affected range, that is, it is preferred to select r e =4~6R is the boundary where the additional stress is 0, then the hole spacing s1≥8~12R is the additional stress constraint condition.

[0200] ② Confining pressure displacement constraint:

[0201] The above is to solve the hole spacing through stress solution. At the same time, the boundary where the displacement is 0 can be determined according to the surrounding rock displacement solution under the action of internal and external pressure:

[0202] a. By solving the stress equation, we can get the displacement equation at any radius r in the surrounding rock:

[0203]

[0204] Where: E and μ are the elastic modulus and Poisson's ratio of the surrounding rock; λ is the lateral pressure coefficient, which takes the actual value when λ<1 and takes the integer 1 when λ>1;

[0205] b. Displacement boundary equation:

[0206]

[0207] c. Substitute the displacement boundary equation into the displacement equation to obtain the displacement constraint condition:

[0208]

[0209] s2≥2r e

[0210] It can be obtained that the values ​​of s1 and s2 under the preset hole diameter and constraint conditions are shown in Table 5:

[0211] Table 5 s1 and s2 values ​​under preset hole diameter and constraint conditions

[0212]

[0213] Take the maximum value of the two: s=47.97m (R=5m), 80.37m (R=10m), 120m (R=15m).

[0214] This implementation method can ensure the stability and safety of the tunnel-type gas storage cavern group of the compressed air energy storage power station through reasonable cave spacing design.

[0215] In some optional implementations, the above step S104 determines the total length constraint based on the storage capacity constraint and the lining constraint, including:

[0216] The total length constraint is used to indicate the minimum total length Lmin of the gas storage cavern;

[0217]

[0218] Among them, the total length constraint is L≥Lmin, Vmin represents the minimum storage capacity, ri represents the inner wall radius of the lining, t represents the lining constraint, and R represents the preset hole diameter.

[0219] The calculation example is as follows:

[0220] L under preset hole diameter and constraint conditions min The values ​​are shown in Table 6:

[0221] Table 6 Preset hole diameter and L under constraint conditions min Value table

[0222]

[0223] The total length constraint L≥Lmin in this implementation is one of the important conditions to ensure that the gas storage meets the minimum storage capacity requirements. By comprehensively considering parameters such as the minimum storage capacity, lining thickness, and preset cave diameter, the required minimum total length can be accurately calculated, providing an important basis for the subsequent cavern group layout.

[0224] Furthermore, according to the total length constraint L ≥ L min , burial depth constraint H≥[H1,H2], hole spacing constraint s≥[s1,s2], design different cavern numbers a and land area S. Theoretically, the fewer the number of caverns, the less the cost of moving personnel and equipment required for cavern excavation, and the simpler the process design. However, the underground rock mass is not homogeneously distributed. Considering factors such as faults, fracture zones, and rock formation phase changes, multiple caverns will be arranged to avoid unfavorable areas. Therefore, the number of caverns should be selected according to actual geological conditions;

[0226] like Figure 6 As shown:

[0227]

[0228] B=(a+1)·s-2R

[0229] Where: S is the land area; a is the number of caverns; l j is the length of the jth cavern; B is the width of the site.

[0230] The calculation example is as follows:

[0231] The values ​​of various parameters under the preset hole diameter and constraint conditions are shown in Table 7:

[0232] Table 7 Table of parameter values ​​under preset hole diameter and constraint conditions In summary, the layout of the cavern group of the hard rock underground gas storage of a 120MW / 480MWh compressed air energy storage power station is designed item by item according to this technical solution. It is planned to use a 10m-class TBM shield machine to excavate the caverns and control the length of a single cavern within 1000m. The corresponding solution is as follows:

[0233] V min =14.8×104 m 3 ; R=5m; H=109m; t=0.37m; s=47.97m; L min =2200m;

[0234] a=3,S=105534m 2 , B=181.88m,l j =734m.

[0235] In this embodiment, a device for designing a cavern group of a tunnel-type gas storage reservoir of a compressed air energy storage power station is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0236] This embodiment provides a design device for a tunnel-type gas storage cavern group of a compressed air energy storage power station, such as Figure 7 As shown, including:

[0237] The storage capacity determination module 701 is used to determine the storage capacity constraint based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station;

[0238] The constraint determination module 702 is used to determine the burial depth constraint and the lining constraint based on the engineering geological parameters of the gas storage cavern and the preset cave diameter of the gas storage cavern; the burial depth constraint is used to indicate the minimum burial depth of the gas storage cavern; the lining constraint is used to indicate the minimum lining thickness of the gas storage cavern;

[0239] The hole spacing determination module 703 is used to determine the hole spacing constraint based on the burial depth constraint and the lining constraint;

[0240] A total length determination module 704 is used to determine the total length constraint based on the storage capacity constraint and the lining constraint;

[0241] The cavern determination module 705 is used to determine the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cave spacing constraint;

[0242] The scheme generation module 706 is used to determine the corresponding burial depth, lining thickness, hole spacing, total length, number of caverns, land area and land width based on the preset cavern diameter, so as to generate a cavern group layout scheme.

[0243] In some optional implementations, the storage capacity determination module 701 includes:

[0244] The first storage capacity determination unit is used for installation design parameters including operating pressure, gas velocity, operating time, operating working gas quality and operating gas temperature.

[0245] The second storage capacity determination unit is used to perform a first calculation on the installation design parameters to obtain the minimum storage capacity and storage capacity constraints.

[0246] In some optional implementations, the constraint determination module 702 includes:

[0247] A first burial depth constraint unit, used for burial depth constraint, is used to indicate the minimum burial depth under the condition of limit equilibrium constraint;

[0248] The second burial depth constraint unit is used for burial depth constraint to indicate the minimum burial depth under the condition of surrounding rock grade and fracture development constraint.

[0249] In some optional implementations, the constraint determination module 702 further includes:

[0250] The first lining constraint unit is used for lining constraint to indicate that the lining thickness in the condition of no internal pressure meets the requirement of bearing external pressure.

[0251] The second lining constraint unit is used for lining constraint and also for ensuring that the lining thickness in the condition of internal pressure meets the bearing tensile strength condition.

[0252] In some optional implementations, the hole spacing determination module 703 includes:

[0253] The first hole spacing determination unit is used to calculate the internal pressure sharing rate of the surrounding rock.

[0254] The second hole spacing determination unit is used to obtain the surrounding rock displacement under the action of internal and external pressure.

[0255] The third hole spacing determination unit is used to determine additional stress constraints and surrounding rock displacement constraints based on the internal pressure sharing rate and surrounding rock displacement; the hole spacing constraint is used to indicate the minimum hole spacing under the additional stress constraint; the hole spacing constraint is used to indicate the minimum hole spacing under the surrounding rock displacement constraint.

[0256] In some optional implementations, the total length determination module 704 includes:

[0257] The total length determination unit is used for total length constraint to indicate the minimum total length Lmin of the gas storage cavern;

[0258]

[0259] Among them, the total length constraint is L≥Lmin, Vmin represents the minimum storage capacity, ri represents the inner wall radius of the lining, t represents the lining constraint, and R represents the preset hole diameter.

[0260] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0261] The compressed air energy storage power station tunnel type gas storage chamber group design device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0262] The embodiment of the present invention also provides a computer device having the above Figure 7 The compressed air energy storage power station tunnel type gas storage cavern group design device shown.

[0263] See also Figure 8 , Figure 8 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 8 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 8 A processor 10 is taken as an example.

[0264] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0265] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0266] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0267] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0268] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 8 The example of connecting through bus is taken in the following.

[0269] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0270] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0271] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0272] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for designing a cavern group of tunnel-type gas storage reservoirs for a compressed air energy storage power station, characterized in that: The method comprises: Determine a storage capacity constraint based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station; Based on the engineering geological parameters of the gas storage cavern and the preset diameter of the gas storage cavern, the burial depth constraint and the lining constraint are determined; the burial depth constraint is used to indicate the minimum burial depth of the gas storage cavern; the lining constraint is used to indicate the minimum lining thickness of the gas storage cavern; Based on the burial depth constraint and the lining constraint, determine the hole spacing constraint; Based on the storage capacity constraint and the lining constraint, determine the total length constraint; Determine the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cave spacing constraint; Based on the preset tunnel diameter, the corresponding burial depth, lining thickness, tunnel spacing, total length, and the number of caverns, land area and land width are determined to generate a cavern group layout plan.

2. The method according to claim 1, characterized in that: Determining storage capacity constraints based on the installed design parameters of the compressed air energy storage power station; The storage capacity constraint is used to indicate the minimum storage capacity of the energy storage power station, including: The installation design parameters include operating pressure, gas velocity, operating time, operating working gas quality and operating gas temperature; A first calculation is performed on the installation design parameters to obtain the minimum storage capacity and storage capacity constraints.

3. The method according to claim 1, characterized in that The burial depth constraint is used to indicate the minimum burial depth of the gas storage cavern, including: The burial depth constraint is used to indicate the minimum burial depth under the limit equilibrium constraint condition; The burial depth constraint is used to indicate the minimum burial depth under the constraints of surrounding rock grade and fracture development.

4. The method according to claim 1, characterized in that: The lining constraint is used to indicate the minimum lining thickness of the gas storage cavern and further includes: The lining constraint is used to indicate that the lining thickness in the condition without internal pressure meets the requirement of bearing external pressure; The lining constraint is also used to ensure that the lining thickness meets the bearing tensile strength condition under internal pressure conditions.

5. The method according to claim 1, characterized in that Determining the hole spacing constraint based on the burial depth constraint and the lining constraint includes: Calculate the internal pressure sharing rate of surrounding rock; Obtain the displacement of surrounding rock under the action of internal and external pressure; Determining additional stress constraints and surrounding rock displacement constraints based on the internal pressure sharing rate and the surrounding rock displacement; The hole spacing constraint is used to indicate the minimum hole spacing under the condition of additional stress constraint; The hole spacing constraint is used to indicate the minimum hole spacing under the condition of surrounding rock displacement constraint.

6. The method according to claim 1, characterized in that Determining the total length constraint based on the storage capacity constraint and the lining constraint includes: The total length constraint is used to indicate the minimum total length Lmin of the gas storage cavern; Among them, the total length constraint is L≥Lmin, Vmin represents the minimum storage capacity, ri represents the inner wall radius of the lining, t represents the lining constraint, and R represents the preset hole diameter.

7. A design device for a tunnel-type gas storage cavern group of a compressed air energy storage power station, characterized in that: The device comprises: A storage capacity determination module, used to determine storage capacity constraints based on the installed design parameters of the compressed air energy storage power station; the storage capacity constraints are used to indicate the minimum storage capacity of the energy storage power station; A constraint determination module, used to determine the burial depth constraint and the lining constraint based on the engineering geological parameters of the gas storage cavern and the preset hole diameter of the gas storage cavern; the burial depth constraint is used to indicate the minimum burial depth of the gas storage cavern; the lining constraint is used to indicate the minimum lining thickness of the gas storage cavern; A hole spacing determination module, used to determine the hole spacing constraint based on the burial depth constraint and the lining constraint; A total length determination module, used for determining a total length constraint based on the storage capacity constraint and the lining constraint; A cavern determination module, used to determine the number of caverns and the land area based on the total length constraint, the burial depth constraint and the cave spacing constraint; The scheme generation module is used to determine the corresponding burial depth, lining thickness, hole spacing, total length, and the number of caverns, land area and land width based on the preset cavern diameter, so as to generate a cavern group layout scheme.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method according to any one of claims 1 to 6.

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