Salt cavern compressed air energy storage warehouse underground site selection method and system based on comprehensive index

Abstract

The invention discloses a salt cavern compressed air energy storage underground site selection method and system based on a comprehensive index, and belongs to the technical field of salt cavern compressed air energy storage site selection. Influence factors of regional salt cavern energy storage site selection are firstly obtained, and the specific value of each influence factor is recorded; the deviation degree between the specific value of each influence factor and the standard value of each influence factor and the influence index of each influence factor are determined; and determining the comprehensive score of each influence factor according to the deviation degree and the influence index, and determining the energy storage library site selection by using the comprehensive score. According to the method, the mutual superposition relation of multiple parameters is considered, the influence degree of each parameter on reservoir site selection is determined in a quantitative analysis mode, the potential-free, low and medium conditions of site selection are relatively accurately determined, quantification of underground site selection of the energy storage library is achieved, quantitative reservoir site selection work decision is completed, and the site selection efficiency of the energy storage library is improved. And a foundation is laid for later high-quality salt cavern energy storage library construction.

Description

Technical Field

[0001] The present invention belongs to the technical field of salt cavern compressed air energy storage site selection, and in particular relates to an underground site selection method and system for a salt cavern compressed air energy storage reservoir based on a comprehensive index. Background Art

[0002] Compressed-Air Energy Storage (CAES) refers to the use of electrical energy to compress air during the low load period of the power grid, sealing the air at high pressure in abandoned mines, sunken submarine gas tanks, caves, expired oil and gas wells or newly built gas storage wells, and releasing compressed air to drive turbines to generate electricity during the peak load period of the power grid. It is an energy storage technology with broad prospects. Large-scale salt cavern compressed air energy storage power stations require high-frequency and multi-round air injection and production, and require the energy storage reservoir to have a volume of up to hundreds of thousands of cubic meters. The site selection of the salt cavern cavity is the decisive factor in determining whether the compressed air energy storage project is feasible. In the past, in the site selection process of salt cavern compressed air energy storage reservoirs, research units usually only judged the location of the salt cavern energy storage reservoir based on their own experience, qualitatively analyzed the influence of relevant parameters on the site selection of the energy storage reservoir, and roughly determined the site selection location of the energy storage reservoir. Although this method can greatly shorten the site selection time of the energy storage reservoir, it usually only considers a single parameter, and it is difficult to effectively avoid the overall influence of the parameters of the entire area on the site selection of the energy storage reservoir. Summary of the invention

[0003] In view of the above problems, in a first aspect, the present invention proposes an underground site selection method for a salt cavern compressed air energy storage reservoir based on a comprehensive index, the method comprising the following steps:

[0004] Obtain the influencing factors of regional salt cavern energy storage site selection and record the specific values ​​of each influencing factor;

[0005] Determine the degree of deviation between the specific value of each influencing factor and the standard value of each influencing factor;

[0006] Determine the impact index of each influencing factor;

[0007] The comprehensive score of each influencing factor is determined according to the deviation and the influence index, and the energy storage reservoir site is determined using the comprehensive score.

[0008] Furthermore, the influencing factors include geological structure, earthquake history, burial depth, salt rock layer thickness, roof, salt rock layer range, surface building correlation, surrounding drinking water, groundwater salinity, gas source distance, roof and floor closure and mineral composition.

[0009] Furthermore, obtaining the influencing factors of the site selection of the regional salt cavern energy storage reservoir and recording the specific values ​​of each influencing factor includes the following steps:

[0010] Obtain the site selection task for the salt cavern energy storage reservoir and determine the site selection scope and construction time requirements for the energy storage reservoir;

[0011] Conduct site surveys within the site selection area and construction time to determine potential factors affecting the site selection of regional reservoirs;

[0012] Mark each influencing factor separately and record the specific value of each influencing factor.

[0013] Furthermore, the step of determining the deviation between the specific value of each influencing factor and the standard value of each influencing factor comprises the following steps:

[0014] Determine the standard value of each influencing factor under a unified background based on on-site conditions, literature research or expert argumentation;

[0015] Processing the specific values ​​of each influencing factor according to specific rules, including determining the specific values ​​of the influencing factors that are favorable to the site selection as positive values, and determining the specific values ​​of the influencing factors that are unfavorable to the site selection as negative values;

[0016] The deviation of each influencing factor in the region is calculated based on the specific values ​​of each influencing factor after processing and the corresponding standard value of the influencing factor.

[0017] Furthermore, the deviation of each influencing factor in the calculation area is calculated using the following formula:

[0018]

[0019] Where U i Indicates the deviation of the i-th influencing factor, C i is the specific value of the i-th influencing factor, B i is the standard value of the i-th influencing factor, and i represents one of the influencing factors.

[0020] Furthermore, the influence index of each influencing factor is determined using the 1R discrete method.

[0021] Furthermore, determining the location of the energy storage reservoir using the comprehensive score includes the following steps:

[0022] Draw a plane distribution map according to the site selection range of the energy storage reservoir and perform grid division in the plane distribution map;

[0023] Determine the comprehensive score of each influencing factor according to the deviation and the influence index and assign a value to the grid;

[0024] The final energy storage site selection is determined through comprehensive scoring.

[0025] Furthermore, the comprehensive score of each influencing factor is determined according to the deviation and the influence index using the following formula:

[0026]

[0027] Where P is the comprehensive score of energy storage site selection; n is the total number of influencing factors; U i is the deviation of the i-th influencing factor; D i is the i-th U i The impact index of the influencing factor.

[0028] In a second aspect, the present invention proposes an underground site selection system for salt cavern compressed air energy storage based on a comprehensive index, comprising:

[0029] An acquisition unit, used to acquire the influencing factors of the site selection of the regional salt cavern energy storage reservoir and record the specific values ​​of each influencing factor;

[0030] A deviation determination unit, used to determine the deviation between the specific value of each influencing factor and the standard value of each influencing factor;

[0031] An impact index determination unit, used to determine the impact index of each impact factor;

[0032] The energy storage reservoir site selection determination unit is used to determine the comprehensive score of each influencing factor according to the deviation and the influence index and determine the energy storage reservoir site using the comprehensive score.

[0033] In a third aspect, the present invention provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0034] a memory storing a computer program;

[0035] The processor is used to implement the underground site selection method for salt cavern compressed air energy storage based on comprehensive index when executing the program stored in the memory.

[0036] In a fourth aspect, the present invention proposes a computer-readable storage medium storing a computer program, which, when executed, executes the underground site selection method for salt cavern compressed air energy storage based on a comprehensive index.

[0037] Beneficial effects of the present invention:

[0038] The present invention considers the mutual superposition relationship of multiple parameters, determines the influence of each parameter on the reservoir site selection by quantitative analysis, and relatively accurately determines the site selection of no potential, low potential, and medium potential. A salt cavern compressed air energy storage underground site selection method based on a comprehensive index is established, which realizes the quantification of the underground site selection of the energy storage reservoir, completes the quantitative reservoir site selection work decision, and lays the foundation for the high-quality completion of the salt cavern energy storage reservoir construction in the later stage.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flow chart of the underground site selection method for salt cavern compressed air energy storage based on comprehensive index proposed by the present invention is shown;

[0042] Figure 2 A potential distribution diagram of the energy storage reservoir site selection potential evaluation in an embodiment of the present invention is shown;

[0043] Figure 3 A schematic diagram of an underground site selection system for a salt cavern compressed air energy storage reservoir based on a comprehensive index in an embodiment of the present invention is shown;

[0044] Figure 4 A schematic diagram of an electronic device in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0045] 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] The present invention proposes a method for underground site selection of salt cavern compressed air energy storage based on comprehensive index, such as Figure 1 As shown, the specific steps include:

[0047] S1: Obtain the influencing factors of the site selection of regional salt cavern energy storage and record the specific values ​​of each influencing factor;

[0048] The influencing factors include but are not limited to geological structure, earthquake history, burial depth, salt rock layer thickness, roof, salt rock layer range, surface building correlation, surrounding drinking water, groundwater salinity, gas source distance, roof and floor closure and mineral composition.

[0049] Specifically, obtaining the influencing factors of the site selection of the regional salt cavern energy storage reservoir and recording the specific values ​​of each influencing factor includes the following steps:

[0050] After obtaining the site selection task for the salt cavern energy storage reservoir, determine the site selection scope and construction time requirements for the energy storage reservoir;

[0051] Conduct field surveys within the site selection scope and construction time to search and determine potential factors affecting the site selection of regional reservoirs;

[0052] Mark each influencing factor separately and record the specific value of each influencing factor separately.

[0053] In an exemplary embodiment of the present invention, the influencing factors may be marked as C1, C2, C3, C4, etc. in sequence, including but not limited to coordinate positions, etc.

[0054] S2: Determine the deviation between the specific value of each influencing factor and the standard value of each influencing factor;

[0055] Specifically, determining the deviation between the specific value of each influencing factor and the standard value of each influencing factor includes the following steps:

[0056] The influencing factors C1, C2, C3, C4, etc. are respectively determined based on the on-site conditions, literature research, expert demonstration, etc., and the standard values ​​of the influencing factors are determined under a unified background, including B1, B2, B3, B4, etc., taking into account production factors such as the distance to the gas source at the production site, ground buildings, underground geological structure, earthquake history, burial depth, thickness of the salt rock layer, roof, range of the salt rock layer, and safety factors such as groundwater salinity and drinking water sources. The standard values ​​of the influencing factors are respectively B1, B2, B3, B4, etc.;

[0057] Processing the specific values ​​of each influencing factor according to specific rules, including determining the specific values ​​of the influencing factors that are favorable to the site selection as positive values, and determining the specific values ​​of the influencing factors that are unfavorable to the site selection as negative values;

[0058] According to the specific values ​​of each influencing factor after processing and the corresponding standard value of the influencing factor, the deviation of each influencing factor in the evaluation area is calculated, U1, U2, U3, ..., U n The calculation formula of the deviation of each influencing factor is as follows:

[0059]

[0060] Where U i Indicates the deviation of the i-th influencing factor, C i is the specific value of the i-th influencing factor, B i is the standard value of the i-th influencing factor, and i represents one of the influencing factors.

[0061] S3: Determine the impact index of each influencing factor;

[0062] Specifically, combined with the construction characteristics, the risk level of each influencing factor in the geological evaluation process of the energy storage reservoir is tracked throughout the process, and each influencing factor of the energy storage reservoir is discretized. The 1R discretization method is used to determine the influence index of each influencing factor (D1, D2, D3, ..., D n ). 1R is 1-rule, also known as 1 rule, which means generating a decision tree of one layer in the form of a rule set, and only testing on a specific attribute; that is, testing each attribute one by one and selecting the attribute with the highest accuracy as the decision attribute.

[0063] S4: Determine a comprehensive score of each influencing factor according to the deviation and the influence index and use the comprehensive score to determine the location of the energy storage reservoir.

[0064] The specific steps include:

[0065] Arrange the deviations U1, U2, U3, U4, etc. of all influencing factors (C1, C2, C3, C4, etc.) accordingly;

[0066] The comprehensive score value of each influencing factor is calculated based on the influence index of each influencing factor obtained by the 1R discrete method, and the grid division and value assignment are performed within the energy storage reservoir site selection range; the calculation method of the comprehensive score value is as follows:

[0067]

[0068] Where: P is the comprehensive score of energy storage site selection; n is the total number of evaluation factors; U i is the deviation of the i-th influencing factor; D i is the i-th U i The influence index of the influencing factor (determined by 1R discrete method).

[0069] The final energy storage site selection is determined through comprehensive scoring values ​​and plan distribution maps.

[0070] Taking the salt cavern energy storage site selection task in Huai'an area as an example, the above method is illustrated.

[0071] S1: After obtaining the site selection task for the salt cavern energy storage reservoir, determine the site selection scope in Huai'an area and complete the site selection work within one year. Carry out on-site investigation within the site selection scope and construction time to search and determine the factors that may affect the construction work in the area. The main factors determined in this embodiment are geological structure, earthquake history, burial depth, salt rock layer thickness, top plate salt rock layer thickness, salt rock layer range, surface building correlation and surrounding drinking water, which are marked as: C1, C2, C3, C4, C5, C6, C7, C8.

[0072] S2: Determine the deviation of the above influencing factors;

[0073] In this embodiment, the standard values ​​of geological structure, earthquake history, burial depth, salt rock layer thickness, top salt rock layer thickness, salt rock layer range, surface building correlation and surrounding drinking water are determined as B1, B2, B3, B4, B5, B6, B7 and B8 respectively according to the on-site conditions, literature research and expert demonstration; and the deviation of each influencing factor is calculated respectively using the following formula;

[0074]

[0075] Where U i Indicates the deviation of the i-th influencing factor, C i is the specific value of the i-th influencing factor, B i is the standard value of the i-th influencing factor, i represents one of the influencing factors, and n=1, 2, 3, 4, 5, 6, 7, 8, respectively represent one of the influencing factors.

[0076] The calculation results of the deviation of each influencing factor in this embodiment are as follows:

[0077] Geological structure (no faults, stable structure; C1 = 1.2, B1 = 1, U1 = 0.2);

[0078] Earthquake history (no earthquake development; C2 = 1.3, B2 = 1, U2 = 0.3);

[0079] Burial depth (burial depth C3 = 1200m, B3 = 1000, U3 = 0.2)

[0080] Salt rock layer thickness (salt rock layer thickness C4 = 20m, B4 = 10, U4 = 1);

[0081] Thickness of roof salt rock layer (roof thickness C5 = 10m, B5 = 10, U5 = 0);

[0082] Salt rock layer range (salt rock layer range C6 = 14km, B6 = 10, U6 = 0.4);

[0083] Surface building correlation (number of upper buildings: 4, no building with more than 10 floors; C7 = 4, B7 = 2, U7 = 1);

[0084] Surrounding drinking water (drinking water groundwater depth C8=10m; B8=20, U8=-0.5).

[0085] S3: Determine the influence index of each influencing factor using the 1R discrete method; in this embodiment, the influence indexes of the influencing factors are: D1 = 0.5; D2 = 0.8; D3 = 0.3, D4 = 0.9, D5 = 0.7, D6 = 0.6, D7 = 0.4, D8 = 0.7;

[0086] S4: Determine a comprehensive score of each influencing factor according to the deviation and the influence index and determine the location of the energy storage reservoir using the comprehensive score;

[0087] Draw a plane distribution map according to the site selection range of the energy storage reservoir and perform grid division in the plane distribution map;

[0088] Assigning values ​​to each grid according to the specific values ​​of the influencing parameters;

[0089] Calculate the comprehensive score P of the influencing factors of each grid, and draw a histogram to determine the single value range of no potential, low potential, and medium potential; the comprehensive score P value of each influencing factor is calculated using the following formula:

[0090]

[0091] Where: P is the comprehensive score of energy storage site selection; n is the total number of influencing factors; U i is the deviation of the i-th influencing factor; D i is the i-th U i The impact index of the influencing factor.

[0092] Summarize the scores of each grid. If the comprehensive score P of a single grid exceeds 80% of the total score, the grid can be considered as a medium potential area. If the score is between 80% and 50% (median) of the total score, the grid can be considered as a low potential area. If the score is lower than 50% (median) of the total score, it is a no potential area.

[0093] According to the above method, the scores of each grid within the site selection range of Huai'an area are summarized, and it is determined that 80% of the total scores are 2.9, and 50% (median) of the total scores are 1.8. It is determined that the grid score P between 0-1.8 has no potential, 1.8-2.9 has low potential, and greater than 2.9 has medium potential. A potential distribution map is drawn on the plane map, such as Figure 2 As shown in the figure, Qingjiangpu District, which is closest to the Huai'an gas source, was finally determined to be a favorable area for the site selection of salt cavern energy storage.

[0094] Based on the same concept of the present invention, another exemplary embodiment of the present invention provides an underground site selection system for salt cavern compressed air energy storage based on a comprehensive index, such as Figure 3 As shown, including:

[0095] The acquisition unit 301 is used to acquire the influencing factors of the site selection of the regional salt cavern energy storage reservoir and record the specific values ​​of each influencing factor; the influencing factors include geological structure, earthquake history, burial depth, salt rock layer thickness, roof, salt rock layer range, surface building correlation, surrounding drinking water, groundwater salinity, gas source distance, roof and floor sealing and mineral composition;

[0096] The deviation determination unit 302 is used to determine the deviation between the specific value of each influencing factor and the standard value of each influencing factor;

[0097] An influence index determination unit 303, used to determine the influence index of each influencing factor;

[0098] The energy storage reservoir site selection determination unit 304 is used to determine the comprehensive score of each influencing factor according to the deviation and the influence index and determine the energy storage reservoir site using the comprehensive score.

[0099] Based on the same inventive concept, another exemplary embodiment of the present invention provides an electronic device. Figure 4 As shown, the electronic device includes at least one processor 401, at least one communication interface 402, at least one memory 403 and at least one communication bus 404; wherein the processor 401, the communication interface 402 and the memory 403 communicate with each other through the communication bus 404;

[0100] Memory 403, storing computer programs;

[0101] The processor 401 is used to implement the underground site selection method for the salt cavern compressed air energy storage reservoir based on the comprehensive index when executing the program stored in the memory 403.

[0102] Optionally, the communication interface may be an interface of a communication module, such as an interface of a GSM module; the processor may be a processor CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The memory 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. The memory stores a program, and the processor calls the program stored in the memory to execute some or all of the above method embodiments.

[0103] Based on the same inventive concept, the embodiment of the present application further provides a computer-readable storage medium storing a computer program, which implements part or all of the above method embodiments when the computer program is executed. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0104] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for underground site selection of salt cavern compressed air energy storage based on comprehensive index, characterized in that: The method comprises the following steps: Obtain the influencing factors of regional salt cavern energy storage site selection and record the specific values ​​of each influencing factor; Determine the degree of deviation between the specific value of each influencing factor and the standard value of each influencing factor; Determine the impact index of each influencing factor; The comprehensive score of each influencing factor is determined according to the deviation and the influence index, and the energy storage reservoir site is determined using the comprehensive score.

2. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 is characterized in that: The influencing factors include geological structure, earthquake history, burial depth, salt rock layer thickness, roof, salt rock layer range, surface building correlation, surrounding drinking water, groundwater salinity, gas source distance, roof and floor closure and mineral composition.

3. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 is characterized in that: Obtaining the influencing factors of regional salt cavern energy storage site selection and recording the specific values ​​of each influencing factor includes the following steps: Obtain the site selection task for the salt cavern energy storage reservoir and determine the site selection scope and construction time requirements for the energy storage reservoir; Conduct site surveys within the site selection area and construction time to determine potential factors affecting the site selection of regional reservoirs; Mark each influencing factor separately and record the specific value of each influencing factor.

4. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 is characterized in that: Determining the degree of deviation between the specific value of each influencing factor and the standard value of each influencing factor comprises the following steps: Determine the standard value of each influencing factor under a unified background based on on-site conditions, literature research or expert argumentation; Processing the specific values ​​of each influencing factor according to specific rules, including determining the specific values ​​of the influencing factors that are favorable to the site selection as positive values, and determining the specific values ​​of the influencing factors that are unfavorable to the site selection as negative values; The deviation of each influencing factor in the region is calculated based on the specific values ​​of each influencing factor after processing and the corresponding standard value of the influencing factor.

5. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 4 is characterized in that: The following formula is used to calculate the deviation of each influencing factor in the region: Where U i Indicates the deviation of the i-th influencing factor, C i is the specific value of the i-th influencing factor, B i is the standard value of the i-th influencing factor, and i represents one of the influencing factors.

6. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 is characterized in that: The influence index of each influencing factor was determined using the 1R discrete method.

7. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 is characterized in that: Determining the location of the energy storage reservoir using the comprehensive score includes the following steps: Draw a plane distribution map according to the site selection range of the energy storage reservoir and perform grid division in the plane distribution map; Determine the comprehensive score of each influencing factor according to the deviation and the influence index and assign a value to the grid; The final energy storage site selection is determined through comprehensive scoring.

8. The underground site selection method for salt cavern compressed air energy storage based on comprehensive index according to claim 1 or 7, characterized in that: The comprehensive score of each influencing factor is determined according to the deviation and influence index using the following formula: Where P is the comprehensive score of energy storage site selection; n is the total number of influencing factors; U i is the deviation of the i-th influencing factor; D i is the i-th U i The impact index of the influencing factor.

9. An underground site selection system for salt cavern compressed air energy storage based on comprehensive index, characterized in that: include: An acquisition unit, used to acquire the influencing factors of the site selection of the regional salt cavern energy storage reservoir and record the specific values ​​of each influencing factor; A deviation determination unit, used to determine the deviation between the specific value of each influencing factor and the standard value of each influencing factor; An impact index determination unit, used to determine the impact index of each impact factor; The energy storage reservoir site selection determination unit is used to determine the comprehensive score of each influencing factor according to the deviation and the influence index and determine the energy storage reservoir site selection using the comprehensive score.

10. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a memory storing a computer program; The processor is used to implement the underground site selection method for salt cavern compressed air energy storage based on comprehensive index as described in any one of claims 1-8 when executing the program stored in the memory.

11. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is run, it executes the underground site selection method for salt cavern compressed air energy storage based on comprehensive index as described in any one of claims 1-8.

Images