A pumped storage station identification method, device, medium and equipment suitable for multiple spatial scales

Abstract

The application provides a pumped storage station identification method and device suitable for multiple spatial scales, a medium and equipment, and the method comprises the following steps: S1: generating a global water system and contour lines in a spatial region to be identified by using DEM; S2: identifying reservoirs globally and extracting reservoir characteristic data; S3: reasonably combining the reservoirs two by two to establish a pumped storage combination matrix; S4: calculating and screening the pumped storage combination matrix; S5: arranging the pumped storage combination matrix, extracting all pumped storage combinations as identified pumped storage stations, and outputting the positions of upper and lower reservoirs, water energy parameters, and catchment area results of all stations. The application can be realized by a computer, can optimize, simplify and standardize the work process, has flexibility suitable for different spatial scales, has good application effect in a small spatial range, and when facing large spatial scale site selection, can greatly improve the site selection efficiency and will not miss the station.

Description

TECHNICAL FIELD

[0001] The present application relates to a pumped storage station site identification method, device, medium and equipment suitable for multiple spatial scales. BACKGROUND

[0002] Pumped storage power station is the most mature technology, the most optimal economy, the most large-scale development conditions of green low-carbon clean flexible regulation power source. Accelerating the development of pumped storage, for accelerating the construction of new power system, promoting the large-scale high proportion of renewable energy development, ensuring the safe and stable operation of power system, improving the level of energy security, and promoting the expansion of effective investment, maintaining the stable and healthy development of economic society, has an important role. Energy green low-carbon transformation has become an irreversible global development trend, large-scale, high proportion of clean energy development in the world will give rise to a huge demand for pumped storage.

[0003] From the development situation, domestic and foreign pumped storage planning site selection work will be carried out for a long time, the planning range from the local economic developed area to the new energy rich area, the number and installed capacity of the planning station will increase, and the planning project needs to be more strictly coordinated with the relationship between economy, ecology and culture. The traditional pumped storage planning site selection adopts artificial experience method, which has accumulated rich experience and technology in the past, and has also contributed a batch of high-quality pumped storage power stations to the power system, but it also exposes many problems under the new situation and new requirements, for example: artificial experience method has a lot of repetitive work, low work efficiency and long time; The level of planning personnel, the site selection results are uneven, and the high-quality stations are easy to be missed, especially when the spatial range of site selection is large, it is often difficult to meet the application requirements. The traditional method has been difficult to match the requirements of planning site selection work efficiency and quality for high-quality development of pumped storage.

[0004] Therefore, it is urgent to provide a scientific method to efficiently and high-quality plan and site select pumped storage power stations. SUMMARY

[0005] The first object of the present application is to provide a pumped storage station site identification method suitable for multiple spatial scales.

[0006] To this end, the above object of the present application is achieved by the following technical solution:

[0007] A pumped storage station site identification method suitable for multiple spatial scales, comprising the following steps:

[0008] S1: generating a global water system and contour lines in the spatial region to be identified by using DEM (digital elevation model);

[0009] S2: identifying a global reservoir, extracting reservoir characteristic data, including the following sub-steps:

[0010] S21: Using contour lines, exhaustively identify all reservoirs with reservoir- forming terrain conditions on the river system;

[0011] S22: Identify the spatial overlap relationship between each reservoir, filter the overlapping reservoirs, and record the number of retained reservoirs as N. The reservoirs are denoted as Ω i (i = 1, 2, …, N);

[0012] S23: Calculate the water level-area-storage capacity relationship curve of the retained reservoirs and the catchment area S above the dam site i (i = 1, 2, …, N);

[0013] S3: Reasonably combine the reservoirs two by two to establish a pumped storage combination matrix, including the following sub-steps:

[0014] S31: Establish the initial matrix of pumped storage combination and record it as:

[0015]

[0016] Where: i = 1, 2, …, N; j = 1, 2, …, N; All are initialized to 0;

[0017] S32: Traverse all reservoirs:

[0018] For reservoir Ω i , take the geometric center of the reservoir surface as the center and establish a spatial buffer zone with a radius of r;

[0019] If reservoir Ω j (j ≠ i) has a spatial intersection relationship with the buffer zone, then is assigned a value of 1;

[0020] S33: For all combinations of , calculate the upper and lower reservoir height difference and the quasi-distance height ratio, and the calculation formula is as follows:

[0021]

[0022]

[0023] In the formula: is the relative height difference of reservoir Ω i and reservoir Ω j (j ≠ i); H i , H j are the absolute elevations of the center of the reservoir surface of reservoir Ω i , reservoir Ω j (j ≠ i); is the quasi-distance height ratio; is the center of the reservoir surface of reservoir Ω i and the center of the reservoir surface of reservoir Ω jthe linear distance of the center of the reservoir surface of the reservoir Ω

[0024] S34: calculating the height difference between the upper reservoir and the lower reservoir less than the threshold value or the distance-height ratio greater than the threshold value, the combination is assigned a value of 0;

[0025] S4: calculating and screening the pumped storage combination matrix, including the following sub-steps:

[0026] S41: traversing all pumped storage combinations, calculating the water energy parameters of the pumped storage according to the reservoir capacity curves of the upper reservoir and the lower reservoir, the water energy parameters including the normal storage level, the dead water level, the regulating reservoir capacity, the installed capacity of the power station, the average water head, the distance-height ratio of the upper reservoir and the lower reservoir of the pumped storage combination, and calculating the catchment area of the combination, the formula for calculating the catchment area being:

[0027]

[0028] In the formula: is the catchment area of the pumped storage combination ;

[0029] S42: checking the water energy parameters of the pumped storage combination one by one, and assigning a value of 0 to the combination whose installed capacity, average water head, and catchment area are less than the set threshold value or whose distance-height ratio is greater than the set threshold value; ;

[0030] S5: arranging the PSP matrix and extracting all pumped storage combinations as identified pumped storage sites, and outputting the position, water energy parameters, and catchment area of the upper reservoir and the lower reservoir of all sites.

[0031] In addition to the above technical solutions, the present application can also adopt or combine the following technical solutions:

[0032] As a preferred technical solution of the present application: in step S1, when generating the global water system, the catchment area of the source of the water system should be controlled to be less than a preset value.

[0033] As a preferred technical solution of the present application: in step S22, the superimposed reservoir is screened in the following manner:

[0034] The reservoir surface superposition coefficients of the reservoir Ω i and the reservoir Ω j (j≠i) are calculated according to the following formula: if the reservoir surface superposition coefficient is greater than a preset value, it is considered that the two reservoirs have a spatial superposition relationship:

[0035]

[0036] In the formula:​​ For the reservoir Ω i And Reservoir Ω j The overlap coefficient of the reservoir surface for (j≠i), C i C j Reservoir Ω i , reservoir Ω j The storage area of ​​(j≠i) For the reservoir Ω i And Reservoir Ω j (j≠i) Area of ​​the overlapping portion of the warehouse surface.

[0037] As a preferred technical solution of the present invention: in step S22, the principle for screening reservoirs with overlapping relationships is: delete reservoirs with small capacity and retain reservoirs with large capacity.

[0038] The second objective of this invention is to provide a pumped storage site identification device applicable to multiple spatial scales.

[0039] Therefore, the above-mentioned objective of the present invention is achieved through the following technical solution:

[0040] A pumped storage site identification device applicable to multiple spatial scales includes the following modules:

[0041] A water system identification module is used to generate a global water system and contour lines within a spatial area to be identified using a DEM (Digital Elevation Model).

[0042] A reservoir identification module is used to identify reservoirs across the entire area and extract characteristic data of each reservoir.

[0043] The site identification module is used to reasonably combine reservoirs in pairs, establish a pumped storage combination matrix, and calculate and filter the pumped storage combination matrix.

[0044] The three modules of water system identification, reservoir identification, and station identification are progressively advanced, with the preceding module providing input data for the following module.

[0045] The task management module allocates computing resources in real time according to the server load balancing principle, monitors and provides feedback on task computing progress, ensures parallel and efficient computing, and also provides a wealth of functions such as task deletion, querying, and result export.

[0046] A third objective of this invention is to provide a storage medium.

[0047] Therefore, the above-mentioned objective of the present invention is achieved through the following technical solution:

[0048] A storage medium storing a computer program executable by a processor, wherein the computer program, when executed, implements the steps of the pumped storage site identification method applicable to multiple spatial scales described above.

[0049] Another objective of this invention is to provide a computer device.

[0050] Therefore, the above-mentioned objective of the present invention is achieved through the following technical solution:

[0051] A computer device has a memory and a processor, wherein the memory stores a computer program that can be executed by the processor, and when the computer program is executed, it implements the steps of the pumped storage site identification method applicable to multiple spatial scales described above.

[0052] This invention provides a method, apparatus, medium, and equipment for identifying pumped storage sites applicable to multiple spatial scales, which has the following advantages compared with the prior art:

[0053] The method provided by this invention can be implemented by a computer, which can optimize, simplify, and standardize the workflow of pumped storage site identification. It is applicable globally and has the flexibility to be used at different spatial scales. It performs well in small spaces and can significantly improve site selection efficiency when facing large-scale site selection. It can also overcome the drawbacks of traditional manual site selection methods and will not miss any high-quality sites. The device, medium, and equipment provided by this invention can be used for automated and intelligent site identification of pumped storage power stations. It has the advantages of high efficiency and high quality and has practical value and promotional application value. Detailed Implementation

[0054] The present invention will be described in further detail with reference to specific embodiments.

[0055] A method for identifying pumped storage sites applicable to multiple spatial scales includes the following steps:

[0056] S1: Within the spatial area to be identified, generate the entire water system and contour lines using a DEM (Digital Elevation Model);

[0057] S2: Identify reservoirs across the entire region and extract characteristic data for each reservoir, including the following sub-steps:

[0058] S21: Using contour lines, exhaustively identify all reservoirs with suitable terrain conditions for reservoir formation on the water system. This step can be achieved using the reservoir dam site resource identification method based on terrain spatial data processing technology disclosed in Chinese Patent CN 114202097A.

[0059] S22: Identify the spatial overlap relationships between reservoirs, filter the overlapping reservoirs, and record the number of retained reservoirs as N, and denote the number of reservoirs as Ω.i (i = 1, 2, ..., N);

[0060] S23: Calculate the water level-area-capacity relationship curve of the retained reservoir and the catchment area S above the dam site. i (i = 1, 2, ..., N);

[0061] S3: Establish a pumped storage combination matrix by rationally combining reservoirs in pairs, including the following sub-steps:

[0062] S31: Establish the initial matrix for the pumped storage system, recorded as follows:

[0063]

[0064] Where: i = 1, 2, ..., N; j = 1, 2, ..., N; All are initialized to 0;

[0065] S32: Traverse all reservoirs:

[0066] For the reservoir Ω i A spatial buffer zone with radius r is established with the geometric center of the warehouse surface as the center.

[0067] If the reservoir Ω j If (j≠i) has a spatial intersection relationship with the buffer, then... The value is assigned to 1;

[0068] S33: For all The combination of upper and lower reservoirs is used to calculate the height difference and distance-to-height ratio, using the following formulas:

[0069]

[0070]

[0071] In the formula: For the reservoir Ω i And Reservoir Ω j The relative elevation difference (j≠i); H i H j Reservoir Ω i , reservoir Ω j The absolute elevation of the center of the reservoir surface (j≠i); For the distance-to-height ratio; For the reservoir Ω i The center of the reservoir surface and the reservoir Ω j (j≠i) The straight-line distance between the centers of the warehouse surface;

[0072] S34: Elevation difference between upper and lower reservoirs Less than the threshold or the ratio of the distance to the height Combinations greater than the threshold will The value is assigned to 0;

[0073] S4: Calculate and filter the pumped storage combination matrix, including the following sub-steps:

[0074] S41: Traversal For all pumped-storage units, the hydroelectric parameters of the pumped-storage system are calculated based on the reservoir capacity curves of the upper and lower reservoirs. These parameters include the normal water level, dead water level, regulating capacity, installed capacity of the power station, average head, and distance-to-height ratio of the upper and lower reservoirs. This step can be achieved using a method for calculating the hydroelectric parameters of a pumped-storage power station based on the maximum scale criterion disclosed in Chinese Patent CN 113158286A. The catchment area of ​​the unit is then calculated using the following formula:

[0075]

[0076] In the formula: Pumped storage combination The catchment area;

[0077] S42: Check the hydropower parameters of each pumped storage unit. For units with installed capacity, average head, or catchment area less than the set threshold, or with a height-to-distance ratio greater than the set threshold, [the following will be addressed / removed / removed]. The value is assigned to 0;

[0078] S5: Organize the PSP matrix and extract all. The pumped storage combination is identified as a pumped storage site, and the results of the location of the upper and lower reservoirs, hydropower parameters, and catchment area of ​​all sites are output.

[0079] In step S1, when generating the entire water system, the catchment area of ​​the water source should be controlled to be less than a preset value.

[0080] In step S22, the composite reservoirs are screened as follows:

[0081] Calculate the reservoir Ω using the following formula i And Reservoir Ω j The reservoir surface overlap coefficient (j≠i) is used to determine the spatial overlap between the two reservoirs. If the overlap coefficient is greater than a preset value, the two reservoirs are considered to have a spatial overlap relationship.

[0082]

[0083] In the formula: For the reservoir Ω i And Reservoir Ω j The overlap coefficient of the reservoir surface for (j≠i), C i C j Reservoir Ω i , reservoir Ω j The storage area of ​​(j≠i) For the reservoir Ω i And Reservoir Ω j (j≠i) Area of ​​the overlapping portion of the warehouse surface.

[0084] In step S22, the principle for screening reservoirs with overlapping relationships is: delete reservoirs with small capacity and retain reservoirs with large capacity.

[0085] The present invention also provides a pumped storage site identification device applicable to multiple spatial scales, comprising the following modules:

[0086] A water system identification module is used to generate a global water system and contour lines within a spatial area to be identified using a DEM (Digital Elevation Model).

[0087] A reservoir identification module is used to identify reservoirs across the entire area and extract characteristic data of each reservoir.

[0088] The site identification module is used to reasonably combine reservoirs in pairs, establish a pumped storage combination matrix, and calculate and filter the pumped storage combination matrix.

[0089] The three modules of water system identification, reservoir identification, and station identification are progressively advanced, with the preceding module providing input data for the following module.

[0090] The task management module allocates computing resources in real time according to the server load balancing principle, monitors and provides feedback on task computing progress, ensures parallel and efficient computing, and also provides a wealth of functions such as task deletion, querying, and result export.

[0091] The present invention also provides a storage medium storing a computer program executable by a processor, wherein the computer program, when executed, implements the steps of the pumped storage site identification method applicable to multiple spatial scales described above.

[0092] The present invention also provides a computer device having a memory and a processor, wherein the memory stores a computer program that can be executed by the processor, and the computer program, when executed, implements the steps of the pumped storage site identification method applicable to multiple spatial scales described above.

[0093] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0094] Memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of memory may also include non-volatile random access memory. For example, memory may also store information about the device type.

[0095] The above method can be directly implemented by a hardware processor, or implemented using a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.

[0096] Those skilled in the art will recognize that the units, i.e., algorithm steps, of the various examples described in connection with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0097] The specific embodiments of the present invention have been described above, but this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that, based on the technical solutions of the present invention, various modifications or variations that can be made by those skilled in the art without creative effort are still within the scope of protection of the present invention.

Claims

1. A method for identifying pumped storage sites applicable to multiple spatial scales, characterized in that: The method for identifying pumped storage sites applicable to multiple spatial scales includes the following steps: S1: Within the spatial region to be identified, use the DEM to generate a global water system and contour lines; S2: Identify reservoirs across the entire region and extract characteristic data for each reservoir, including the following sub-steps: S21: Using contour lines, exhaustively identify all reservoirs with suitable terrain conditions for reservoir formation along the water system; S22: Identify the spatial overlap relationships between reservoirs, filter the overlapping reservoirs, and record the number of retained reservoirs as N, and denote the number of reservoirs as Ω. i (i = 1, 2, ..., N); S23: Calculate the water level-area-capacity relationship curve of the retained reservoir and the catchment area S above the dam site. i (i = 1, 2, ..., N); S3: Establish a pumped storage combination matrix by rationally combining reservoirs in pairs, including the following sub-steps: S31: Establish the initial matrix for the pumped storage system, recorded as follows: Where: i = 1, 2, ..., N; j = 1, 2, ..., N; All are initialized to 0; S32: Traverse all reservoirs: For the reservoir Ω i A spatial buffer zone with radius r is established with the geometric center of the warehouse surface as the center. If the reservoir Ω j If (j≠i) has a spatial intersection relationship with the buffer, then... The value is assigned to 1; S33: For all The combination of upper and lower reservoirs is used to calculate the height difference and distance-to-height ratio, using the following formulas: In the formula: For the reservoir Ω i And Reservoir Ω j The relative elevation difference (j≠i); H i H j Reservoir Ω i Ω Reservoir j The absolute elevation of the center of the reservoir surface (j≠i); For the distance-to-height ratio; For the reservoir Ω i The center of the reservoir surface and the reservoir Ω j (j≠i) The straight-line distance between the centers of the warehouse surface; S34: Elevation difference between upper and lower reservoirs Less than the threshold or the ratio of the distance to the height Combinations greater than the threshold will The value is assigned to 0; S4: Calculate and filter the pumped storage combination matrix, including the following sub-steps: S41: Traversal For all pumped storage units, the hydroelectric parameters of the pumped storage units are calculated based on the reservoir capacity curves of the upper and lower reservoirs. These parameters include the normal water level, dead water level, regulating capacity, installed power plant capacity, average head, and distance-to-height ratio of the upper and lower reservoirs. The catchment area of ​​the unit is also calculated using the following formula: In the formula: Pumped storage combination The catchment area; S42: Check the hydropower parameters of each pumped storage unit. For units with installed capacity, average head, or catchment area less than the set threshold, or with a height-to-distance ratio greater than the set threshold, [the following will be addressed / removed / removed]. The value is assigned to 0; S5: Organize the PSP matrix and extract all. The pumped storage combination is identified as a pumped storage site, and the results of the location of the upper and lower reservoirs, hydropower parameters, and catchment area of ​​all sites are output.

2. The method for identifying pumped storage sites applicable to multiple spatial scales according to claim 1, characterized in that: In step S1, when generating the entire water system, the catchment area of ​​the water source should be controlled to be less than a preset value.

3. The method for identifying pumped storage sites applicable to multiple spatial scales according to claim 1, characterized in that: In step S22, the composite reservoirs are screened as follows: Calculate the reservoir Ω using the following formula i And Reservoir Ω j The reservoir surface overlap coefficient (j≠i) is used to determine the spatial overlap between the two reservoirs. If the overlap coefficient is greater than a preset value, the two reservoirs are considered to have a spatial overlap relationship. In the formula: For the reservoir Ω i And Reservoir Ω j The overlap coefficient of the reservoir surface for (j≠i), C i C j Reservoir Ω i Ω Reservoir j The storage area of ​​(j≠i) For the reservoir Ω i And Reservoir Ω j (j≠i) Area of ​​the overlapping portion of the warehouse surface.

4. The method for identifying pumped storage sites applicable to multiple spatial scales according to claim 1 or 3, characterized in that: In step S22, the principle for screening reservoirs with overlapping relationships is: delete reservoirs with small capacity and retain reservoirs with large capacity.

5. A pumped storage site identification device applicable to multiple spatial scales, characterized in that, The pumped storage site identification device applicable to multiple spatial scales is based on the pumped storage site identification method applicable to multiple spatial scales as described in claim 1, and includes the following modules: A water system identification module is used to generate a global water system and contour lines within a spatial area to be identified using a DEM. A reservoir identification module is used to identify reservoirs across the entire area and extract characteristic data of each reservoir. The site identification module is used to reasonably combine reservoirs in pairs, establish a pumped storage combination matrix, and calculate and filter the pumped storage combination matrix. The three modules of water system identification, reservoir identification, and station identification are progressively advanced, with the preceding module providing input data for the following module. The task management module allocates computing resources in real time according to the server load balancing principle, monitors and provides feedback on task computing progress, ensures parallel and efficient computing, and also provides task deletion, query, and result export.

6. A storage medium storing a computer program executable by a processor, characterized in that: When the computer program is executed, it implements the steps of the pumped storage site identification method applicable to multiple spatial scales as described in any one of claims 1 to 4.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program executable by the processor, characterized in that: When the computer program is executed, it implements the steps of the pumped storage site identification method applicable to multiple spatial scales as described in any one of claims 1 to 4.

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