Micro-site selection method and device for photovoltaic power plant

Abstract

The invention relates to the technical field of electric power operation and maintenance, in particular to a micro-site selection method for a photovoltaic power plant. The embodiment of the invention provides a micro-site selection method for a photovoltaic power plant, and the method comprises the steps: carrying out the grid processing of a region to be subjected to site selection, and obtaining a plurality of grids; geological data in each grid are collected; for each grid, executing the following steps: determining the construction cost required for building a photovoltaic system in the grid according to the geological data; and performing micro-site selection of the photovoltaic power plant according to the construction cost of the plurality of grids. The micro-site selection method for the photovoltaic power plant provided by the embodiment of the invention can select a photovoltaic power plant construction position with relatively low cost.

Description

Technical Field

[0001] The present invention relates to the technical field of power operation and maintenance, and particularly to a micro-site selection method and device for a photovoltaic power plant. Background Art

[0002] After the macro-site selection of a photovoltaic power plant is completed, the area to be constructed of the photovoltaic power plant can be determined. However, micro-site selection within the area to be constructed has not been taken seriously by people, and micro-site selection has an important impact on the level of construction costs. Summary of the Invention

[0003] Embodiments of the present invention provide a micro-site selection method, device, electronic device and storage medium for a photovoltaic power plant, which can select a location for constructing a photovoltaic power plant with a lower cost.

[0004] In a first aspect, embodiments of the present invention provide a micro-site selection method for a photovoltaic power plant, including: Performing grid processing on the area to be site-selected to obtain a plurality of grids; Collecting geological data within each of the grids; For each of the grids, performing: determining the construction cost required to build a photovoltaic system within the grid according to the geological data; Performing micro-site selection of the photovoltaic power plant according to the construction costs of the plurality of grids.

[0005] In a possible design, the geological data includes soil thickness, soil composition and bedrock type.

[0006] In a possible design, the determining the construction cost required to build a photovoltaic system within the grid according to the geological data includes: Determining the depth of the foundation according to the soil thickness, where the depth of the foundation is the sum of the preset depth of the bedrock that the foundation needs to penetrate into the lower part of the soil layer and the soil thickness; Determining the foundation construction cost according to the type of the foundation, the depth of the foundation, the preset depth and the bedrock type; Determining the corrosiveness of the soil according to the composition of the soil, determining the type of the foundation according to the corrosiveness of the soil, and determining the material cost and maintenance cost of the foundation according to the type of the foundation; Determining the cable cost of the cable according to the corrosiveness of the soil, where the cable cost includes material cost and regular replacement cost; Determining the construction cost according to the foundation construction cost, the material cost and maintenance cost of the foundation and the cable cost.

[0007] In a possible design, the types of the foundation include concrete with different proportions and different compositions.

[0008] In one possible design, micro-site selection of photovoltaic power plants is performed based on the construction costs of a plurality of the grids, including: Determine the number of grids occupied according to the drawings of the photovoltaic plant; Taking the number of adjacent grids as the number of grid occupancy as a screening condition, traverse each of the grids to screen out a plurality of grid combinations whose number of adjacent grids is the number of grid occupancy; According to the sum of the construction costs of all the grids in the grid combination, all the grids are screened to determine the construction location of the photovoltaic power plant.

[0009] In one possible design, it also includes: Marking the grid according to the local wind direction and the inclination of the ground in the grid; wherein the first mark is applied to the grid whose slope is perpendicular or opposite to the local main wind direction; The step of screening all grids according to the sum of the construction costs of all grids in the grid combination to determine the construction location of the photovoltaic power plant includes: Sum the construction costs of all grids in the grid combination to obtain the sum of the costs of the grid combination; The grid combinations whose costs and grid combinations exceeding a preset value are screened out, the number of grids marked with the first mark within the screened grid combinations is calculated, and the grid combination with the largest number of grids marked with the first mark is determined as the construction location of the photovoltaic power plant.

[0010] In one possible design, it also includes: Collect geological profile data in the area to be selected; Determine the location and depth of small structures in geological cross-section data; Applying a second mark to a grid having a small structure at the bottom and a depth of the small structure lower than a preset value; The grid combination where the grid with the second mark is located is eliminated and does not participate in the site selection comparison.

[0011] In a second aspect, an embodiment of the present invention further provides a micro-site selection device for a photovoltaic power plant, comprising: The first unit is used to perform grid processing in the area to be selected to obtain multiple grids; A second unit is used to collect geological data within each of the grids; The third unit is used to perform, for each of the grids, the following steps: determining, according to the geological data, a construction cost required for building a photovoltaic system in the grid; The fourth unit is used for performing micro-site selection of photovoltaic power plants according to the construction costs of the plurality of grids.

[0012] In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is made to execute the method described in any embodiment of this specification.

[0014] Compared with the prior art, the present invention has at least the following beneficial effects: In this embodiment, all the areas to be selected for the site are divided into a plurality of uniform grids, breaking the whole into parts. Geological data within each grid is collected. According to the geological data, suitable materials and equipment can be selected, and the construction plan and maintenance plan can be determined. Further, according to the materials, equipment, construction plan and maintenance plan, the construction cost within the grid can be determined, and then a suitable area for the construction of the photovoltaic power plant can be selected based on the construction cost within the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 is a flowchart of a micro-site selection method for a photovoltaic power plant provided by an embodiment of the present invention; Figure 2 is a hardware architecture diagram of an electronic device provided by an embodiment of the present invention; Figure 3 is a structural diagram of a micro-site selection device for a photovoltaic power plant provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0018] The following describes the specific implementation manners of the above concepts.

[0019] Please refer to Figure 1, an embodiment of the present invention provides a micro-site selection method for a photovoltaic power plant, including: Perform grid processing on the area to be site-selected to obtain a plurality of grids; Collect geological data within each grid; For each grid, execute: determine the construction cost required to build a photovoltaic system within the grid according to the geological data; Perform micro-site selection of the photovoltaic power plant according to the construction costs of multiple grids.

[0020] In this embodiment, the entire area to be site-selected is divided into a plurality of uniform grids, breaking the whole into parts. Geological data within each grid is collected. According to the geological data, appropriate materials and equipment can be selected, and the construction plan and maintenance plan can be determined. Further, according to the materials, equipment, construction plan, and maintenance plan, the construction cost within the grid can be determined, and then a suitable construction area for the photovoltaic power plant can be selected according to the construction cost within the grid.

[0021] In some embodiments of the present invention, the geological data includes soil thickness, soil composition, and bedrock type.

[0022] In some embodiments of the present invention, determining the construction cost required to build a photovoltaic system within the grid according to the geological data includes: Determine the depth of the foundation according to the soil thickness. The depth of the foundation is the sum of the preset depth at which the foundation needs to penetrate into the bedrock below the soil layer and the soil thickness; Determine the foundation construction cost according to the type of foundation, the depth of the foundation, the preset depth, and the bedrock type; Determine its corrosiveness according to the composition of the soil, determine the type of foundation according to the corrosiveness of the soil, and determine the material cost and maintenance cost of the foundation according to the type of foundation; Determine the cable cost of the cable according to the corrosiveness of the soil. The cable cost includes material cost and regular replacement cost; Determine the construction cost according to the foundation construction cost, the material cost and maintenance cost of the foundation, and the cable cost.

[0023] In this embodiment, the bedrock type determines the excavation cost required for deep excavation of the bedrock by a preset depth. Different bedrock types have different hardnesses, require different types of drill bits, drill bit losses, and energy consumption during excavation. The depth of the foundation determines the amount of the foundation. The soil in some areas will have a certain degree of corrosiveness. Select a targeted anti-corrosion foundation type according to the composition of the soil. Further, according to the type of foundation, its material cost and maintenance cost can be determined. In addition, in order to protect the cable, the cable is often buried underground, and the soil will also corrode the outer skin of the cable to a certain extent. The lifespan, replacement construction cost, and material cost of the cable in corrosive soil also need to be considered. All the above costs constitute the construction cost within the grid.

[0024] In some embodiments of the present invention, the type of foundation includes concrete of different proportions and different components. In this embodiment, the type of foundation is related to the material cost and maintenance cost of the foundation.

[0025] In some embodiments of the present invention, micro-site selection of a photovoltaic power plant is performed based on the construction costs of multiple grids, including: Determine the number of grids occupied according to the drawings of the photovoltaic plant; Taking the number of adjacent grids as the number of grid occupancy as the screening condition, traverse each grid and screen out multiple grid combinations whose number of adjacent grids is the number of grid occupancy; According to the construction cost and of all grids within the grid combination, all grids are screened to determine the construction location of the photovoltaic power plant.

[0026] In this embodiment, all grids are combined according to the number of grid occupancy to obtain a grid combination, the total construction cost within the grid combination is calculated, and the grid combination with the lower total construction cost is selected as the construction location.

[0027] It should be noted that the grids within the grid combination need to be adjacent, and a rectangular or polygonal grid combination outline is preferred to prevent the appearance of a straight or cross-shaped grid combination. After determining the grid combination with a lower cost, a secondary screening can be performed based on the outline.

[0028] In some embodiments of the present invention, it further comprises: Marking the grids according to the local wind direction and the inclination of the ground within the grid; wherein the first mark is applied to the grids whose slope is perpendicular or opposite to the local main wind direction; According to the construction cost and of all grids in the grid combination, all grids are screened to determine the construction location of the photovoltaic power plant, including: Sum up the construction costs of all grids in the grid combination to obtain the cost sum of the grid combination; Grid combinations with costs and grid combinations exceeding preset values ​​are screened out, the number of grids marked with a first mark within the screened grid combinations is calculated, and the grid combination with the largest number of grids marked with the first mark is determined as the construction location of the photovoltaic power plant.

[0029] In this embodiment, it is not easy for sand to accumulate on the slope surface in the grid whose slope direction is perpendicular or opposite to the local main wind direction, and the broken surface that is not facing the wind can also prevent the transportation and accumulation of excessive sand, which is convenient for subsequent cleaning. Specifically, the grids of the load screening condition are marked with the first mark, and the appropriate grid combination is determined as the construction location according to the number of grids with the first mark.

[0030] In some embodiments of the present invention, it further includes: Collect geological profile data in the area to be selected; Determine the location and depth of small structures in geological section data; Apply a second mark to the grid with a small structure at the bottom and the depth of the small structure lower than a preset value; Exclude the grid combination where the grid with the second mark is located and do not participate in the site selection comparison.

[0031] In this embodiment, excluding the areas with geological disaster risks can prevent serious losses in geological disasters.

[0032] In some embodiments of the present invention, the small structures include faults and folds.

[0033] In the present invention, after the construction of the power plant is completed, in order to reduce the later maintenance cost, the photovoltaic panels in the plant area can also be monitored. The specific monitoring methods include: Using an infrared camera above the photovoltaic plant area to collect the infrared radiation intensity of each photovoltaic panel; Using a depth camera above the photovoltaic plant area to collect the distance between each photovoltaic panel and the depth camera; Calculate the temperature of each photovoltaic panel according to the infrared radiation intensity and distance of each photovoltaic panel; Judge whether the photovoltaic panel is abnormal according to the calculated power generation, temperature and light intensity of each photovoltaic panel.

[0034] In this embodiment, the temperature of each photovoltaic panel can be initially obtained by collecting the infrared radiation intensity of each photovoltaic panel. However, in order to collect the data of all photovoltaic panels, the infrared camera needs to have a certain height and distance so that all photovoltaic panels are within the field of view of the infrared camera. Therefore, there is a certain distance between the photovoltaic panel and the infrared camera, and the distance between each photovoltaic panel and the infrared camera is different. Therefore, in order to obtain more accurate temperature data, it is necessary to use the depth camera to measure the distance between each photovoltaic panel and the depth camera. According to the conversion coordinate system between the depth camera and the infrared camera, the distance between the infrared camera and the photovoltaic panel can be obtained based on the distance between the depth camera and the photovoltaic panel, and then the infrared radiation intensity can be calibrated according to the distance between the infrared camera and the photovoltaic panel to obtain accurate temperature. After obtaining the temperature data, the temperature data combined with the light intensity and power generation can judge whether the data is abnormal, and then accurately locate the corresponding photovoltaic panel.

[0035] It should be noted that when calculating the temperature, the data of water vapor and carbon dioxide with a certain scattering effect on infrared radiation can also be combined.

[0036] It should be noted that temperature has two aspects of influence on photovoltaic panels. Firstly, temperature itself affects their photoelectric efficiency. The higher the temperature, the lower the photoelectric efficiency. The lower the photoelectric efficiency, the relatively higher the proportion of light intensity used for heat generation, which is a vicious cycle. Recording the relationship between temperature, light intensity, and power generation can promptly detect abnormalities in photovoltaic panels and can also predict the status and usage of photovoltaic panels based on historical data. Secondly, the temperature of photovoltaic panels also affects the status of other components inside them, and collecting temperature data is also of great significance.

[0037] In some embodiments of the present invention, calculating the temperature of each photovoltaic panel according to the infrared radiation intensity and distance of each photovoltaic panel includes: Establishing an infrared radiation matrix according to the infrared radiation intensity of each photovoltaic panel collected by an infrared camera; Establishing a distance matrix according to the distance of each photovoltaic panel collected by a depth camera; Determining the coordinate transformation matrix between the infrared camera and the depth camera according to the positional relationship between the infrared camera, the depth camera, and the ground plane; Determining a temperature matrix including the temperature of each photovoltaic panel according to the infrared radiation matrix, the distance matrix, and the coordinate transformation matrix.

[0038] In some embodiments of the present invention, judging whether there is an abnormality in the photovoltaic panel according to the power generation, temperature, and light intensity of each photovoltaic panel includes: Establishing a detection model according to the light intensity, temperature, and power generation of normal photovoltaic panels; Relying on the detection model, judging whether there is an abnormality in the photovoltaic panel according to the collected light intensity matrix, temperature matrix, and power generation matrix; wherein, the power generation matrix includes the power generation of each photovoltaic panel, and the light intensity matrix includes the light intensity of each photovoltaic panel.

[0039] In this embodiment, a detection model can be established based on deep learning. The detection model can predict the power generation based on temperature and light intensity, calculate the power generation under normal conditions through the collected temperature and light intensity. If there is a difference between the current power generation and the calculated power generation, it is marked as abnormal data.

[0040] In some embodiments of the present invention, it further includes: Using an RGB camera above the photovoltaic plant area to collect the image color of each photovoltaic panel; According to the image color of each photovoltaic panel collected by the RGB camera; Using test data to fit the weakening degree of the light intensity received on the photovoltaic panel by different thicknesses of dust on the photovoltaic panel; Determining the dust thickness on each photovoltaic panel according to the image color on each photovoltaic panel; Determine the degree of attenuation of the light intensity received by the photovoltaic panel due to dust based on the dust thickness on the photovoltaic panel; Determine the light intensity matrix based on the light intensity and the attenuation degree of each photovoltaic panel.

[0041] In this embodiment, the floating sand on the photovoltaic panel will cause a certain degree of attenuation to the light it receives, and the attenuation degree is related to the thickness of the dust. Therefore, an RGB camera can be used to collect the image color of the photovoltaic panel, estimate the dust thickness based on the image color, and then correct the light intensity.

[0042] As Figure 2 , Figure 3 shown, an embodiment of the present invention provides a micro-site selection device for a photovoltaic power plant. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. In terms of the hardware level, as Figure 2 shown, it is a hardware architecture diagram of an electronic device where the micro-site selection device for a photovoltaic power plant provided by an embodiment of the present invention is located. In addition to Figure 2 the processor, memory, network interface, and non-volatile memory shown, the electronic device where the device is located in the embodiment usually may also include other hardware, such as a forwarding chip responsible for processing packets, etc. Taking software implementation as an example, as Figure 3 shown, as a logically meaningful device, it is formed by the CPU of its corresponding electronic device reading the computer program in the non-volatile memory into the memory and running. A micro-site selection device for a photovoltaic power plant provided by this embodiment includes: A first unit for performing grid processing on the area to be site-selected to obtain a plurality of grids; A second unit for collecting geological data within each of the grids; A third unit for, for each of the grids, performing: determining the construction cost required to build a photovoltaic system within the grid according to the geological data; A fourth unit for performing micro-site selection of the photovoltaic power plant according to the construction costs of the plurality of grids.

[0043] It can be understood that the structure schematically shown in the embodiment of the present invention does not constitute a specific limitation on a micro-site selection device for a photovoltaic power plant. In other embodiments of the present invention, a micro-site selection device for a photovoltaic power plant may include more or fewer components than shown, or combine certain components, or split certain components, or have different component arrangements. The components shown can be implemented by hardware, software, or a combination of software and hardware.

[0044] For the information interaction, execution process, etc. between the various modules within the above device, since it is based on the same concept as the method embodiment of the present invention, the specific content can be referred to the description in the method embodiment of the present invention, and will not be elaborated here.

[0045] An embodiment of the present invention further provides an electronic device, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, a micro-site selection method for a photovoltaic power plant in any embodiment of the present invention is implemented.

[0046] An embodiment of the present invention further provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the processor is caused to execute a micro-site selection method for a photovoltaic power plant in any embodiment of the present invention.

[0047] Specifically, a system or device equipped with a storage medium can be provided. Software program code for implementing the functions in any one of the above embodiments is stored on the storage medium, and the computer (or CPU or MPU) of the system or device reads and executes the program code stored in the storage medium.

[0048] In this case, the program code read from the storage medium itself can implement the functions in any one of the above embodiments. Therefore, the program code and the storage medium storing the program code constitute a part of the present invention.

[0049] Embodiments of the storage medium for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Optionally, the program code can be downloaded from a server computer via a communication network.

[0050] In addition, it should be clear that not only can the functions in any one of the above embodiments be implemented by executing the program code read by a computer, but also by causing an operating system or the like operating on the computer based on the instructions of the program code to complete part or all of the actual operations.

[0051] In addition, it can be understood that the program code read from the storage medium is written into a memory provided in an expansion board inserted into the computer or into a memory provided in an expansion module connected to the computer. Subsequently, based on the instructions of the program code, a CPU or the like installed on the expansion board or the expansion module executes part and all of the actual operations, thereby implementing the functions in any one of the above embodiments.

[0052] It should be noted that in this document, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising said element.

[0053] Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including the above method embodiments; and the foregoing storage medium includes various media that can store program codes, such as ROM, RAM, magnetic disks or optical discs.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A micro-site selection method for a photovoltaic power plant, characterized in that, Including: Performing grid processing on the site selection area to obtain multiple grids; Collecting geological data within each of the grids; For each of the grids, performing: determining the construction cost required for building a photovoltaic system within the grid based on the geological data; Performing micro-site selection of a photovoltaic power plant based on the construction costs of the multiple grids.

2. The method according to claim 1, characterized in that The geological data includes soil thickness, soil composition, and bedrock type.

3. The method according to claim 2, characterized in that, The determining the construction cost required for building a photovoltaic system within the grid based on the geological data includes: Determining the depth of the foundation based on the soil thickness, where the depth of the foundation is the sum of the preset depth at which the foundation needs to penetrate into the bedrock below the soil layer and the soil thickness; Determining the foundation construction cost based on the type of the foundation, the depth of the foundation, the preset depth, and the bedrock type; Determining its corrosiveness based on the composition of the soil, determining the type of the foundation based on the corrosiveness of the soil, and determining the material cost and maintenance cost of the foundation based on the type of the foundation; Determining the cable cost of the cable based on the corrosiveness of the soil, where the cable cost includes material cost and regular replacement cost; Determining the construction cost based on the foundation construction cost, the material cost and maintenance cost of the foundation, and the cable cost.

4. The method according to claim 3, wherein The types of the foundation include concrete with different proportions and different compositions.

5. The method according to claim 1, wherein Performing micro-site selection of a photovoltaic power plant based on the construction costs of the multiple grids includes: Determining the number of grids occupied according to the drawing of the photovoltaic plant area; Taking the number of adjacent grids as the number of grids occupied as a screening condition, traversing each of the grids, and screening out multiple grid combinations with the number of adjacent grids being the number of grids occupied; Based on the sum of the construction costs of all the grids within the grid combination, screening all the grids to determine the construction location of the photovoltaic power plant.

6. The method according to claim 5, characterized in that Also including: Marking the grids according to the local wind direction and the inclination of the ground within the grids; among them, applying a first mark to the grids whose slope direction is perpendicular to or opposite to the local main wind direction; The screening all the grids based on the sum of the construction costs of all the grids within the grid combination to determine the construction location of the photovoltaic power plant includes: Summing up the construction costs of all the grids within the grid combination to obtain the cost sum of the grid combination; Screening out the grid combinations whose cost sum of the grid combination exceeds the preset value, calculating the number of grids marked with the first mark within the grid combinations passing the screening, and determining the grid combination with the largest number of grids marked with the first mark as the construction location of the photovoltaic power plant.

7. The method according to claim 1, wherein Also including: Collecting geological profile data within the site selection area; Determining the location and depth of small structures in the geological profile data; Applying a second mark to the grids with small structures at the bottom and the depth of the small structures being lower than the preset value; Excluding the grid combinations where the grids with the second mark are located and not participating in the site selection comparison.

8. A micro-site selection device for a photovoltaic power plant, characterized in that, For implementing the method according to any one of claims 1-7, the device includes: A first unit for performing grid processing on the site selection area to obtain multiple grids; A second unit for collecting geological data within each of the grids; The third unit is configured to perform, for each of the grids: determining the construction cost required for building a photovoltaic system within the grid where it is located according to the geological data; The fourth unit is configured to perform micro-site selection of a photovoltaic power plant according to the construction costs of multiple grids.

9. An electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method according to any one of claims 1-7 is implemented.

10. A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed in a computer, the computer is made to execute the method according to any one of claims 1-7.

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