Site selection method for underground gas storage chamber of compressed air energy storage system

Abstract

The invention relates to the technical field of renewable energy sources, in particular to a compressed air energy storage system underground gas storage chamber site selection method, which comprises the following steps of: obtaining an evaluation index of a target reservoir site of a compressed air energy storage system underground gas storage chamber; establishing a triangular fuzzy evaluation index matrix of the evaluation indexes based on the evaluation indexes to obtain a standardized judgment matrix; and respectively calculating Euclidean distances between the evaluation index and the positive ideal solution and between the evaluation index and the negative ideal solution according to the standardized judgment matrix, calculating a sticking rate of the target library address according to the Euclidean distances, and generating a library address selection result of the underground gas storage chamber of the compressed air energy storage system based on the sticking rate. According to the method, the engineering characteristics and environmental influence of underground chamber construction can be comprehensively considered, the evaluation information of the target library address scheme is quantified by using the triangular fuzzy number theory, the reliability of the library address selection result is effectively improved in combination with the multi-target decision analysis method, and a scientific basis is provided for the site selection decision of the underground chamber of the compressed air energy storage system.

Description

Technical Field

[0001] The present application relates to the field of renewable energy technology, and in particular to a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system. Background Art

[0002] Among the related technologies, compressed air energy storage technology, as a new type of energy storage technology, has the advantages of large scale, long service life and high efficiency. The gas storage reservoir is the core component of the compressed air energy storage system. Most compressed air energy storage power stations use salt caverns as gas storage reservoirs, which have low cost and large capacity. However, due to the mismatch between the distribution of wind and solar resources in my country and the distribution of salt caverns, the construction of salt cavern-type compressed air energy storage systems is greatly affected by site selection restrictions. Artificial chambers are large-capacity surrounding rock chambers obtained by artificial excavation in underground continuous rock mass, which can be used to store high-pressure air. Compared with salt cavern gas storage, it can reduce the dependence of compressed air energy storage power stations on terrain conditions and has received widespread attention in recent years. Site screening is the first step in the construction process of underground gas storage chambers. Selecting a suitable site is a necessary condition for the successful construction of underground gas storage chambers.

[0003] However, the standards for evaluating the site of underground gas storage chambers for compressed air energy storage systems in related technologies are unclear. When selecting the site for underground gas storage chambers, the efficiency is low and the suitability of the selected site cannot be evaluated. This makes it difficult to meet the site selection and site evaluation needs of underground gas storage chambers, and a solution is urgently needed. Summary of the invention

[0004] The present application provides a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system to solve the problems in the related art of unclear standards for evaluating the site of an underground gas storage chamber of a compressed air energy storage system, low efficiency in selecting a site for an underground gas storage chamber and inability to evaluate the suitability of the selected site, and difficulty in meeting the site selection and site evaluation requirements for underground gas storage chambers.

[0005] A first aspect of the present application provides a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system, comprising the following steps: obtaining evaluation indicators of a target site for an underground gas storage chamber of the compressed air energy storage system; establishing a triangular fuzzy evaluation indicator matrix of the evaluation indicators based on the evaluation indicators to obtain a standardized judgment matrix based on the triangular fuzzy evaluation indicator matrix; calculating the Euclidean distance between the evaluation indicators and a positive ideal solution and a negative ideal solution based on the standardized judgment matrix to calculate the proximity of the target site based on the Euclidean distance, and generating a site selection result for the underground gas storage chamber of the compressed air energy storage system based on the proximity.

[0006] Optionally, in one embodiment of the present application, the establishing of the triangular fuzzy evaluation indicator matrix of the evaluation indicator includes: obtaining an evaluation value of the evaluation indicator; and establishing the triangular fuzzy evaluation indicator matrix of the evaluation indicator according to the evaluation value.

[0007] Optionally, in one embodiment of the present application, obtaining a standardized judgment matrix based on the triangular fuzzy evaluation index matrix includes: defuzzifying the triangular fuzzy evaluation index matrix using the expected formula of triangular fuzzy numbers to obtain an initial judgment matrix; combining the initial judgment matrix with the weights of the evaluation values ​​to obtain an aggregation matrix; and performing dimension normalization processing on the aggregation matrix to obtain the standardized judgment matrix.

[0008] Optionally, in one embodiment of the present application, the calculation formula of the posting progress can be expressed as:

[0009]

[0010] Among them, Q i Indicates the progress of the posting. represents the Euclidean distance from the target storage site solution i to the positive ideal solution, Represents the Euclidean distance from the target storage site solution i to the negative ideal solution.

[0011] The second aspect of the present application provides a site selection device for an underground gas storage chamber of a compressed air energy storage system, including: an acquisition module for acquiring evaluation indicators of a target storage site of an underground gas storage chamber of the compressed air energy storage system; an establishment module for establishing a triangular fuzzy evaluation indicator matrix of the evaluation indicator based on the evaluation indicator, so as to obtain a standardized judgment matrix according to the triangular fuzzy evaluation indicator matrix; a site selection module for calculating the Euclidean distance between the evaluation indicator and a positive ideal solution and a negative ideal solution according to the standardized judgment matrix, so as to calculate the proximity of the target storage site according to the Euclidean distance, and generate a site selection result of the underground gas storage chamber of the compressed air energy storage system based on the proximity.

[0012] Optionally, in one embodiment of the present application, the establishing module includes: an acquisition unit, used to acquire an evaluation value of the evaluation indicator; and an establishing unit, used to establish a triangular fuzzy evaluation indicator matrix of the evaluation indicator according to the evaluation value.

[0013] Optionally, in one embodiment of the present application, the establishment module includes: a first processing unit, used to defuzzify the triangular fuzzy evaluation index matrix using the expected formula of triangular fuzzy numbers to obtain an initial judgment matrix; a second processing unit, used to combine the initial judgment matrix with the weight of the evaluation value to obtain an aggregation matrix; and a third processing unit, used to perform dimension normalization processing on the aggregation matrix to obtain the standardized judgment matrix.

[0014] Optionally, in one embodiment of the present application, the calculation formula of the progress of the indicator can be expressed as:

[0015]

[0016] Among them, Q i Indicates the progress of the posting. represents the Euclidean distance from the target storage site solution i to the positive ideal solution, Represents the Euclidean distance from the target storage site solution i to the negative ideal solution.

[0017] The third aspect 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 method for selecting a site for an underground gas storage chamber of a compressed air energy storage system as described in the above embodiment.

[0018] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned method for selecting a site for an underground gas storage chamber of a compressed air energy storage system.

[0019] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned method for selecting a site for an underground gas storage chamber of a compressed air energy storage system.

[0020] The embodiment of the present application can obtain the evaluation index of the target storage site of the underground gas storage chamber of the compressed air energy storage system, and then based on the triangular fuzzy number theory, establish a triangular fuzzy evaluation index matrix for the evaluation index and perform defuzzification and normalization processing to obtain a standardized judgment matrix, and finally calculate the Euclidean distance and closeness of each target storage site plan to the ideal solution to obtain the optimal storage site among the target storage sites. Thus, it is achieved that the evaluation of the target storage site plan by professional and technical personnel is quantified using triangular fuzzy number theory while comprehensively considering the engineering characteristics and environmental impact of the construction of the underground chamber, retaining more evaluation information, and combining the multi-objective decision analysis method to effectively improve the reliability of the final storage site selection results, while having both mathematical rigor and convenience of practical application, thereby providing a scientific basis for the site selection decision of the underground chamber of the compressed air energy storage system, and can be applied in the site selection of underground chambers of various compressed air energy storage systems, and has great practical application capabilities. Thereby, the problems in the related art of unclear standards for evaluating the site of underground gas storage chambers for compressed air energy storage systems, low efficiency in selecting the site for underground gas storage chambers and inability to evaluate the suitability of the selected site are solved, making it difficult to meet the site selection and site evaluation needs of underground gas storage chambers.

[0021] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0023] Figure 1 A flowchart of a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system provided according to an embodiment of the present application;

[0024] Figure 2 A flowchart of a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system according to an embodiment of the present application;

[0025] Figure 3 A schematic diagram of the structure of an underground gas storage chamber site selection device for a compressed air energy storage system provided according to an embodiment of the present application;

[0026] Figure 4 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application.

[0027] Reference numerals:

[0028] 10- Compressed air energy storage system underground gas storage chamber site selection device: 100- acquisition module, 200- establishment module and 300- site selection module; 401- memory, 402- processor and 403- communication interface. . DETAILED DESCRIPTION

[0029] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0030] The following describes the site selection method for the underground gas storage chamber of the compressed air energy storage system of the embodiment of the present application with reference to the accompanying drawings. In view of the unclear standards for the evaluation of the underground gas storage chamber site of the compressed air energy storage system in the related technologies mentioned in the above background technology, the efficiency is low and the suitability of the selected site cannot be evaluated when selecting the site of the underground gas storage chamber, and it is difficult to meet the site selection and site evaluation requirements of the underground gas storage chamber. The present application provides a site selection method for the underground gas storage chamber of the compressed air energy storage system. In this method, the evaluation index of the target site of the underground gas storage chamber of the compressed air energy storage system can be obtained, and then based on the triangular fuzzy number theory, a triangular fuzzy evaluation index matrix is ​​established for the evaluation index and defuzzified and normalized to obtain a standardized judgment matrix, and finally the Euclidean distance and closeness of each target site scheme from the ideal solution are calculated to obtain the optimal site among the target sites. Therefore, it is achieved that the evaluation of the target storage site plan by professional and technical personnel is quantified by using triangular fuzzy number theory while comprehensively considering the engineering characteristics and environmental impact of underground chamber construction, retaining more evaluation information, and combining the multi-objective decision analysis method to effectively improve the reliability of the final storage site selection results, while combining mathematical rigor and convenience of practical application, thereby providing a scientific basis for the site selection decision of the underground chamber of the compressed air energy storage system, which can be applied in the site selection of underground chambers of various compressed air energy storage systems, and has great practical application capabilities. Therefore, it solves the problems of unclear standards for the evaluation of the site of underground gas storage chambers of compressed air energy storage systems in related technologies, low efficiency and inability to evaluate the suitability of the selected site when selecting the site of the underground gas storage chamber, and difficulty in meeting the site selection and site evaluation needs of the underground gas storage chamber.

[0031] Specifically, Figure 1 A flow chart of a method for selecting a site for an underground gas storage chamber in a compressed air energy storage system provided in an embodiment of the present application.

[0032] like Figure 1 As shown, the site selection method for the underground gas storage chamber of the compressed air energy storage system includes the following steps:

[0033] In step S101, an evaluation index of a target storage site of an underground gas storage chamber of a compressed air energy storage system is obtained.

[0034] It can be understood that the target storage site here can be understood as the storage site in the pre-selected plan for the underground gas storage chamber of the compressed air energy storage system, and it is necessary to select a suitable optimal storage site from these target storage sites.

[0035] In certain embodiments, the suitability of each target storage site for the underground gas storage chamber of the compressed air energy storage system is different. When selecting a most suitable underground gas storage chamber address of the compressed air energy storage system from the target storage sites, the present application can first obtain the evaluation index of the target address to calculate the suitability of the target storage site based on the evaluation index.

[0036] For example, the present application may, but is not limited to, establish an underground gas storage chamber site selection evaluation index system, through which the evaluation index of the target storage site can be obtained. Among them, the evaluation index can be, but is not limited to, divided into primary indicators and secondary indicators. The primary indicators include, but are not limited to, the geological conditions and ground conditions of the target storage site; the secondary indicators are divided into secondary indicators under geological conditions and secondary indicators under ground conditions. Among them, the secondary indicators under geological conditions include, but are not limited to, indicators such as topography, geological structure, rock mass structure, surrounding rock type, burial depth, seismic characteristics, and hydrological conditions; the secondary indicators under ground conditions include, but are not limited to, indicators such as the degree of construction convenience, surface population and building density, and distance from the pipeline network.

[0037] The reference evaluation principles of the evaluation indicators in the embodiments of the present application can be, but are not limited to, expressed as follows:

[0038] Geological conditions and their subordinate secondary indicators: Since the volume of caverns is usually much smaller than that of salt caverns, in order to increase gas storage capacity and reduce excavation costs, it is necessary to select areas with stable geology, good sealing, and high estimated upper limit of gas storage. Therefore, when selecting the final storage site, priority can be given to areas with relatively flat topography, relatively simple geological structure, thick rock layer and few faults, high surrounding rock compressive strength and continuous and complete hard rock development, burial depth that can meet the operation requirements of power stations, low regional earthquake intensity, and relatively scarce groundwater.

[0039] Ground conditions and their subordinate secondary indicators: The location of the chamber should avoid irreversible damage to the natural environment and ecosystem, and try to avoid the impact on densely populated areas and important land use areas, while considering the distance from other sub-components of the compressed air system and power grid facilities to reduce transmission losses and costs. When selecting the final storage site, priority can be given to areas with convenient transportation of construction materials and construction equipment, little impact on surrounding residents, and close to renewable energy power stations or power grids.

[0040] It should be noted that the specific primary indicators, secondary indicators and reference evaluation principles of each indicator can be set or adjusted by professional and technical personnel in this field according to actual regional conditions or actual needs, etc., and are only used for illustrative purposes in the embodiments of this application without specific limitations.

[0041] Step S102: Based on the evaluation index, a triangular fuzzy evaluation index matrix of the evaluation index is established to obtain a standardized judgment matrix according to the triangular fuzzy evaluation index matrix.

[0042] In some embodiments, after obtaining the evaluation index of each target storage site in the target area, the present application can establish a triangular fuzzy evaluation index matrix according to the secondary index in the evaluation index, so as to obtain a standardized judgment matrix according to the triangular fuzzy evaluation index matrix to judge the suitability of the target storage site.

[0043] Next, the process of establishing a triangular fuzzy evaluation index matrix in the embodiment of the present application is explained in more detail.

[0044] Optionally, in one embodiment of the present application, establishing a triangular fuzzy evaluation indicator matrix of the evaluation indicator includes: obtaining an evaluation value of the evaluation indicator; and establishing a triangular fuzzy evaluation indicator matrix of the evaluation indicator according to the evaluation value.

[0045] In the actual implementation process, when establishing the triangular fuzzy evaluation index matrix, the present application may, but is not limited to, establish it based on the evaluation value of the secondary index in the evaluation index. The evaluation value may, but is not limited to, be the evaluation value generated by the evaluation of the secondary index by professional and technical personnel in the field.

[0046] For example, professional technicians believe that the degree to which a secondary indicator under a target storage site plan is close to the ideal will not exceed s u points, the degree of unsatisfactory will not be lower than S l The most likely value is s m The evaluation value of this indicator under the target storage site scheme can be expressed by triangular fuzzy numbers as follows:

[0047]

[0048] By counting the triangular fuzzy numbers of all professional and technical personnel's evaluation of all secondary indicators of all target storage site plans, the following triangular fuzzy evaluation index matrix can be obtained:

[0049]

[0050] in, is the triangular fuzzy number representing the evaluation value of the kth expert on the jth indicator of the i-th site selection plan, s l，ijk 、s m，ijk andu，ijk Represent the three values ​​of triangular fuzzy numbers respectively.

[0051] Optionally, in one embodiment of the present application, a standardized judgment matrix is ​​obtained based on a triangular fuzzy evaluation index matrix, including: defuzzifying the triangular fuzzy evaluation index matrix using an expected formula of a triangular fuzzy number to obtain an initial judgment matrix; combining the initial judgment matrix with the weights of the evaluation values ​​to obtain an aggregation matrix; and dimensionally normalizing the aggregation matrix to obtain a standardized judgment matrix.

[0052] In other embodiments, in the process of obtaining a standardized judgment matrix based on a triangular fuzzy evaluation index matrix, the triangular fuzzy evaluation index matrix is ​​defuzzified using the expected formula of triangular fuzzy numbers to obtain a corresponding initial judgment matrix, and then an aggregation matrix is ​​obtained based on the initial judgment matrix. Finally, the aggregation matrix is ​​dimensionally normalized to obtain a standardized judgment matrix.

[0053] Taking the triangular fuzzy evaluation index matrix in formula (2) as an example, the expected formula of triangular fuzzy numbers is used for defuzzification. Based on formula (1), the triangular fuzzy number can be obtained: The expected value of can be expressed as follows:

[0054] E=((1-λ)s l +s m +λs u ) / twenty three)

[0055] Where E represents the triangular fuzzy number , λ is the expected value of risk preference, 0≤λ≤1, and its value depends on the risk attitude of the decision maker. When making group decisions, the compromise principle can be adopted but is not limited to, and λ=0.5 is taken.

[0056] Using formula (3), the evaluation index matrix F t By calculating each element in , we can get the initial judgment matrix, which can be expressed as follows but is not limited to:

[0057] F j =(E ijk ) mn×g (4)

[0058] Among them, E ijk =((1-λ)s l，ijk +s m，ijk +λs u，ijk ) / 2, which represents the triangular fuzzy number expected value of the evaluation value of the k-th expert on the j-th indicator of the i-th site selection plan.

[0059] Then, according to the evaluation given by the professional and technical personnel in this field to each secondary indicator, the corresponding weight is set to adjust the matrix Fj For example, the weight of the evaluation given by g professional and technical personnel in the embodiment of the present application can be represented by a vector: W = [w 1 w 2 …w g ] T . t ·W results are sorted, and The aggregation matrix can be obtained, which can be expressed as follows but is not limited to:

[0060] F c =(x ij ) m×n (5)

[0061] Then, the aggregation matrix is ​​dimensionally normalized by the mean method, and a standardized judgment matrix can be obtained, which can be expressed as follows but is not limited to:

[0062] F=(y ij ) m×n (6)

[0063] in,

[0064] Step S103, according to the standardized judgment matrix, the Euclidean distance between the evaluation index and the positive ideal solution and the negative ideal solution is calculated respectively, so as to calculate the progress of the target storage site according to the Euclidean distance, and generate the storage site selection result of the underground gas storage chamber of the compressed air energy storage system based on the progress of ...

[0065]

[0066] Among them, Q i Indicates the progress of posting. represents the Euclidean distance from the target storage site solution i to the positive ideal solution, Represents the Euclidean distance from the target storage site solution i to the negative ideal solution.

[0067] As a possible implementation method, after obtaining the standardized judgment matrix, the embodiment of the present application can determine the optimal storage location among the target storage locations based on the standardized judgment matrix in combination with a certain multi-objective decision analysis method.

[0068] Specifically, the embodiment of the present application can be based on the TOPSIS method (Technique for Order Preference by Similarity to an Ideal Solution, a method of approximating ideal solutions, also known as the superior and inferior solution distance method, which is an effective method commonly used in multi-objective decision analysis). First, the Euclidean distance between the evaluation index and the positive ideal solution and the negative ideal solution is calculated according to the standardized judgment matrix.

[0069] The formulas for positive ideal solutions and negative ideal solutions can be expressed as follows:

[0070]

[0071] in, It represents the most ideal solution for the evaluation standardization value of the jth indicator in all target storage site plans, that is, represents the least ideal solution of the evaluation standardized value of the jth indicator in all target storage site plans, that is,

[0072] Then calculate the Euclidean distance between the evaluation index of each target storage site solution and the positive ideal solution and the negative ideal solution:

[0073] The Euclidean distance from the target storage site solution i to the positive ideal solution can be expressed as:

[0074]

[0075] The Euclidean distance from the target storage site solution i to the negative ideal solution can be expressed as:

[0076]

[0077] The closeness of the target storage site is calculated by combining the Euclidean distance from the target storage site plan to the positive ideal solution and the negative ideal solution. The formula can be, but is not limited to, expressed as follows:

[0078]

[0079] Comparing the closeness of all target site plans, the one with the largest closeness is the site selection result of the underground gas storage chamber of the compressed air energy storage system, which can be understood as the optimal site plan among all target site plans.

[0080] The present application is described in detail below with reference to a specific embodiment.

[0081] Figure 2 This is a flow chart of a method for selecting a site for an underground gas storage chamber of a compressed air energy storage system according to an embodiment of the present application. Figure 2 As shown:

[0082] Step S201, establish a compressed air energy storage system underground gas storage chamber site selection evaluation system, evaluate all storage site plans, and obtain evaluation indicators for each storage site.

[0083] Step S202: establishing a triangular fuzzy evaluation index matrix based on the evaluation index of the obtained storage site solution.

[0084] Step S203, defuzzifying and dimension normalizing the triangular fuzzy evaluation index matrix to obtain a standardized judgment matrix.

[0085] Step S204, establishing a positive ideal solution and a negative ideal solution.

[0086] Step S205, calculate the Euclidean distance of each storage site plan from the positive ideal solution and the negative ideal solution, and calculate the progress of each target storage site based on the Euclidean distance.

[0087] Step S206, selecting the storage location with the largest pasting progress as the optimal storage location solution.

[0088] According to the site selection method for underground gas storage chambers of compressed air energy storage systems proposed in the embodiment of the present application, the evaluation index of the target storage site of the underground gas storage chamber of the compressed air energy storage system can be obtained, and then based on the triangular fuzzy number theory, a triangular fuzzy evaluation index matrix is ​​established for the evaluation index and defuzzification and normalization are performed to obtain a standardized judgment matrix, and finally the Euclidean distance and closeness of each target storage site scheme to the ideal solution are calculated to obtain the optimal storage site among the target storage sites. Thus, it is achieved that the evaluation of the target storage site scheme by professional and technical personnel is quantified using triangular fuzzy number theory while comprehensively considering the engineering characteristics and environmental impact of the construction of the underground chamber, more evaluation information is retained, and the reliability of the final storage site selection result is effectively improved by combining the multi-objective decision analysis method, while having both mathematical rigor and convenience of practical application, thereby providing a scientific basis for the site selection decision of the underground chamber of the compressed air energy storage system, and can be applied in the site selection of underground chambers of various compressed air energy storage systems, and has great practical application capabilities. Thereby, the problems in the related art of unclear standards for evaluating the site of underground gas storage chambers for compressed air energy storage systems, low efficiency in selecting the site for underground gas storage chambers and inability to evaluate the suitability of the selected site are solved, making it difficult to meet the site selection and site evaluation needs of underground gas storage chambers.

[0089] Next, the underground gas storage chamber site selection device for the compressed air energy storage system proposed in accordance with the embodiment of the present application will be described with reference to the accompanying drawings.

[0090] Figure 3 It is a structural schematic diagram of an underground gas storage chamber site selection device for a compressed air energy storage system in an embodiment of the present application.

[0091] like Figure 3 As shown, the compressed air energy storage system underground gas storage chamber site selection device 10 includes: an acquisition module 100, an establishment module 200 and a site selection module 300.

[0092] Among them, the acquisition module 100 is used to obtain the evaluation index of the target storage site of the underground gas storage chamber of the compressed air energy storage system.

[0093] The establishment module 200 is used to establish a triangular fuzzy evaluation index matrix of the evaluation index based on the evaluation index, so as to obtain a standardized judgment matrix according to the triangular fuzzy evaluation index matrix.

[0094] The site selection module 300 is used to calculate the Euclidean distance between the evaluation index and the positive ideal solution and the negative ideal solution according to the standardized judgment matrix, so as to calculate the progress of the target storage site according to the Euclidean distance, and generate the site selection result of the underground gas storage chamber of the compressed air energy storage system based on the progress.

[0095] Optionally, in one embodiment of the present application, the establishment module 200 includes: an acquisition unit and an establishment unit.

[0096] The acquisition unit is used to acquire the evaluation value of the evaluation index.

[0097] A unit is established for establishing a triangular fuzzy evaluation index matrix of evaluation indicators according to the evaluation values.

[0098] Optionally, in one embodiment of the present application, the establishment module 200 includes: a first processing unit, a second processing unit and a third processing unit.

[0099] The first processing unit is used to defuzzify the triangular fuzzy evaluation index matrix using the expected formula of triangular fuzzy numbers to obtain an initial judgment matrix.

[0100] The second processing unit is used to combine the initial judgment matrix and the weight of the evaluation value to obtain an aggregation matrix.

[0101] The third processing unit is used to perform dimension normalization processing on the aggregation matrix to obtain a standardized judgment matrix.

[0102] Optionally, in one embodiment of the present application, the calculation formula of the posting progress may be, but is not limited to, expressed as:

[0103]

[0104] Among them, Q i Indicates the progress of posting. represents the Euclidean distance from the target storage site solution i to the positive ideal solution, Represents the Euclidean distance from the target storage site solution i to the negative ideal solution.

[0105] It should be noted that the aforementioned explanation of the embodiment of the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system is also applicable to the device for selecting a site for an underground gas storage chamber of a compressed air energy storage system of this embodiment, and will not be repeated here.

[0106] According to the site selection device for the underground gas storage chamber of the compressed air energy storage system proposed in the embodiment of the present application, the evaluation index of the target storage site of the underground gas storage chamber of the compressed air energy storage system can be obtained, and then based on the triangular fuzzy number theory, a triangular fuzzy evaluation index matrix is ​​established for the evaluation index and defuzzification and normalization are performed to obtain a standardized judgment matrix, and finally the Euclidean distance and closeness of each target storage site scheme to the ideal solution are calculated to obtain the optimal storage site among the target storage sites. Thus, it is achieved that the evaluation of the target storage site scheme by professional and technical personnel is quantified using the triangular fuzzy number theory while comprehensively considering the engineering characteristics and environmental impact of the construction of the underground chamber, more evaluation information is retained, and the reliability of the final storage site selection result is effectively improved by combining the multi-objective decision analysis method, while having both mathematical rigor and convenience of practical application, thereby providing a scientific basis for the site selection decision of the underground chamber of the compressed air energy storage system, and can be applied in the site selection of underground chambers of various compressed air energy storage systems, and has great practical application capabilities. Thereby, the problems in the related art of unclear standards for evaluating the site of underground gas storage chambers for compressed air energy storage systems, low efficiency in selecting the site for underground gas storage chambers and inability to evaluate the suitability of the selected site are solved, making it difficult to meet the site selection and site evaluation needs of underground gas storage chambers.

[0107] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0108] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0109] When the processor 402 executes the program, the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system provided in the above-mentioned embodiment is implemented.

[0110] Furthermore, the electronic device further comprises:

[0111] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0112] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0113] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0114] 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 to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0115] 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 communicate with each other through an internal interface.

[0116] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0117] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for selecting a site for an underground gas storage chamber of a compressed air energy storage system.

[0118] An embodiment of the present application also provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system provided in an embodiment of the present application is implemented.

[0119] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0120] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0121] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0122] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0123] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0124] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0125] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0126] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for selecting a site for an underground gas storage chamber of a compressed air energy storage system, characterized in that: The following steps are involved: Obtaining evaluation indicators for target storage sites of underground gas storage chambers of compressed air energy storage systems; Based on the evaluation index, a triangular fuzzy evaluation index matrix of the evaluation index is established to obtain a standardized judgment matrix according to the triangular fuzzy evaluation index matrix; The Euclidean distances between the evaluation index and the positive ideal solution and the negative ideal solution are calculated respectively according to the standardized judgment matrix, so as to calculate the progress of the target storage site according to the Euclidean distance, and generate the storage site selection result of the underground gas storage chamber of the compressed air energy storage system based on the progress of the progress.

2. The method according to claim 1, characterized in that The establishment of the triangular fuzzy evaluation index matrix of the evaluation index includes: Obtaining an evaluation value of the evaluation indicator; A triangular fuzzy evaluation index matrix of the evaluation index is established according to the evaluation value.

3. The method according to claim 2, characterized in that The step of obtaining a standardized judgment matrix according to the triangular fuzzy evaluation index matrix includes: Defuzzifying the triangular fuzzy evaluation index matrix using an expectation formula of triangular fuzzy numbers to obtain an initial judgment matrix; Combining the initial judgment matrix with the weights of the evaluation values ​​to obtain an aggregation matrix; The aggregation matrix is ​​dimensionally normalized to obtain the standardized judgment matrix.

4. The method according to claim 1, characterized in that: The calculation formula of the posting progress is: Among them, Q i Indicates the progress of the posting. represents the Euclidean distance from the target storage site solution i to the positive ideal solution, Represents the Euclidean distance from the target storage site solution i to the negative ideal solution.

5. A site selection device for underground gas storage chambers of a compressed air energy storage system, characterized in that: include: An acquisition module, used to obtain evaluation indicators of a target storage site of an underground gas storage chamber of a compressed air energy storage system; An establishing module is used to establish a triangular fuzzy evaluation index matrix of the evaluation index based on the evaluation index, so as to obtain a standardized judgment matrix according to the triangular fuzzy evaluation index matrix; A site selection module is used to calculate the Euclidean distance between the evaluation index and the positive ideal solution and the negative ideal solution according to the standardized judgment matrix, so as to calculate the progress of the target storage site according to the Euclidean distance, and generate the site selection result of the underground gas storage chamber of the compressed air energy storage system based on the progress.

6. The device according to claim 5, characterized in that The establishment module comprises: An acquisition unit, used to acquire the evaluation value of the evaluation index; An establishing unit is used to establish a triangular fuzzy evaluation index matrix of the evaluation index according to the evaluation value.

7. The device according to claim 6, characterized in that The establishment module comprises: A first processing unit is used to defuzzify the triangular fuzzy evaluation index matrix by using an expected formula of triangular fuzzy numbers to obtain an initial judgment matrix; A second processing unit, configured to obtain an aggregation matrix by combining the initial judgment matrix and the weight of the evaluation value; The third processing unit is used to perform dimension normalization processing on the aggregation matrix to obtain the standardized judgment matrix.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system as described in any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed, it is used to implement the method for selecting a site for an underground gas storage chamber of a compressed air energy storage system as described in any one of claims 1-4.

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