Wind resource assessment method and device for wind power plant, electronic equipment and storage medium
By integrating microscale and mesoscale topographic maps, a microscale CFD simulation model was constructed, which solved the problem of unreasonable distribution of coupled boundary wind parameters caused by the resolution deviation between mesoscale and microscale topographic maps, and realized the accuracy and reliability of wind farm wind resource assessment.
Patent Information
- Application Number
- CN202410510263.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-25
- Publication Date
- 2025-10-28
AI Technical Summary
The large resolution discrepancy between mesoscale and microscale topographic maps leads to an unreasonable distribution of wind parameters at the coupling boundary between mesoscale and microscale, affecting the accuracy and reliability of wind resource assessment for wind farms.
By fusing microscale and mesoscale topographic maps, a microscale CFD simulation model is constructed, and microscale meteorological data is obtained based on mesoscale meteorological data to achieve coupled microscale and mesoscale simulation, thus solving the coupling boundary problem caused by topographic map resolution deviation.
This improves the accuracy and reliability of wind farm resource assessment, ensuring the accuracy and reliability of wind farm resource assessment.
Smart Images
Figure CN120850841A_ABST
Abstract
Description
Technical Field
[0001] This disclosure generally relates to the field of new energy technology, and more specifically, to a method, apparatus, electronic equipment, and storage medium for wind resource assessment in wind farms. Background Technology
[0002] Accurate wind resource assessment is essential for the development and economic evaluation of wind farms. In recent years, Computational Fluid Dynamics (CFD) simulation has gradually become the mainstream method for wind farm resource assessment. However, due to the significant influence of local meteorological patterns on wind characteristics, CFD simulation technology has certain uncertainties. Therefore, this paper proposes to address this issue through mesoscale-microscale coupled simulation technology. Mesoscale-microscale coupled simulation technology refers to the combination of mesoscale meteorological WRF (Weather Research and Forecasting Model) simulation and microscale CFD simulation, which can consider the influence of local meteorological patterns on microscale simulation.
[0003] However, the topographic map used in WRF simulations has a resolution of km, while the measured topographic map used in CFD simulations has a minimum resolution of less than 5m. This significant resolution discrepancy between micro- and meso-scale topographic maps can lead to inconsistencies in topography at the coupling boundary between WRF and CFD simulations, resulting in an unreasonable distribution of wind parameters at the coupling boundary. Summary of the Invention
[0004] Exemplary embodiments of this disclosure provide a wind resource assessment method, apparatus, electronic device, and storage medium for wind farms, which can solve the problem of unreasonable distribution of wind parameters at coupled boundaries due to excessive resolution deviation between mesoscale and microscale topographic maps.
[0005] According to a first aspect of the present disclosure, a wind resource assessment method for a wind farm is provided. The wind resource assessment method includes: acquiring a microscale topographic map and a mesoscale topographic map of a target area of the wind farm, wherein the topographic resolution of the mesoscale topographic map is higher than that of the microscale topographic map; fusing the microscale topographic map and the mesoscale topographic map to obtain a target topographic map; constructing a microscale CFD simulation model on the target topographic map and generating a microscale grid; acquiring microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on the mesoscale meteorological data obtained from the simulation modeling of the wind farm; and obtaining wind resource assessment data for the target area based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid.
[0006] Optionally, the target topographic map includes: a mesoscale topographic preservation area in the outermost circle, a microscale topographic preservation area in the innermost circle, and a transition area between the microscale topographic preservation area and the mesoscale topographic preservation area.
[0007] Optionally, the step of fusing the microscale topographic map and the mesoscale topographic map to obtain the target topographic map includes: retaining a first region in the mesoscale topographic map as the mesoscale topographic retention region; retaining a second region in the microscale topographic map as the microscale topographic retention region; determining the topographic resolution and topographic information of the transition region based on the microscale topographic map and the mesoscale topographic map, wherein the topographic resolution of the transition region is between the topographic resolution of the mesoscale topographic map and the topographic resolution of the microscale topographic map; wherein the first region is the outermost circle of the target region, and the second region is the innermost circle of the target region.
[0008] Optionally, the outer boundary of the mesoscale topographic preservation area is the outer boundary of the target area, and the inner boundary of the mesoscale topographic preservation area is parallel to the outer boundary of the mesoscale topographic preservation area, with a first preset distance between them; the outer boundary of the transition area is the inner boundary of the mesoscale topographic preservation area, and the inner boundary of the transition area is the outer boundary of the microscale topographic preservation area, with a second preset distance between the inner boundary of the transition area and the outer boundary of the transition area; wherein, the first preset distance and the second preset distance are determined based on the topographic resolution of the mesoscale topographic map.
[0009] Optionally, the step of obtaining the microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on the mesoscale meteorological data obtained from the mesoscale meteorological data for the wind farm simulation model includes: extracting the mesoscale meteorological data corresponding to multiple outer boundary surfaces of the microscale CFD simulation model from the mesoscale meteorological data for the wind farm, wherein the multiple outer boundary surfaces include: an eastward boundary surface, a southward boundary surface, a westward boundary surface, and a northward boundary surface; for each of the multiple outer boundary surfaces, obtaining the meteorological data corresponding to each microscale grid on the outer boundary surface based on the mesoscale meteorological data corresponding to the outer boundary surface.
[0010] Optionally, for each of the plurality of outer boundary surfaces, the step of obtaining meteorological data corresponding to each micro-scale grid on the outer boundary surface based on the mesoscale meteorological data corresponding to the outer boundary surface includes: for each of the plurality of outer boundary surfaces, obtaining meteorological data corresponding to each micro-scale grid on the outer boundary surface by performing spatial interpolation calculation on the mesoscale meteorological data corresponding to the outer boundary surface; wherein, the mesoscale meteorological data corresponding to each outer boundary surface includes: meteorological data at each mesoscale grid corresponding to the outer boundary surface.
[0011] Optionally, the step of determining the terrain resolution and terrain information of the transition area based on the microscale topographic map and the mesoscale topographic map includes: calculating the terrain resolution and terrain information of the area corresponding to the transition area based on the microscale topographic map and the mesoscale topographic map, and / or the terrain resolution and terrain information of the mesoscale terrain preservation area and the microscale terrain preservation area by interpolation.
[0012] According to a second aspect of the present disclosure, a wind resource assessment device for a wind farm is provided. The wind resource assessment device includes: an initial topographic map acquisition unit configured to acquire a microscale topographic map and a mesoscale topographic map of a target area of the wind farm, wherein the topographic resolution of the mesoscale topographic map is higher than that of the microscale topographic map; a target topographic map acquisition unit configured to fuse the microscale topographic map and the mesoscale topographic map to obtain a target topographic map; a model building unit configured to build a microscale CFD simulation model on the target topographic map and generate a microscale grid; a microscale data acquisition unit configured to acquire microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on mesoscale meteorological data obtained from the simulation modeling of the wind farm; and an assessment data acquisition unit configured to obtain wind resource assessment data of the target area based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid.
[0013] According to a third aspect of the present disclosure, a computer-readable storage medium storing a computer program is provided, which, when executed by a processor, causes the processor to perform the wind resource assessment method for a wind farm as described above.
[0014] According to a fourth aspect of the present disclosure, an electronic device is provided, the electronic device comprising: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, it causes the processor to perform the wind resource assessment method for a wind farm as described above.
[0015] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the wind resource assessment method for a wind farm as described above.
[0016] The wind resource assessment method, apparatus, electronic device, and storage medium for wind farms according to exemplary embodiments of the present disclosure employ a terrain fusion method to couple mesoscale WRF simulation and microscale CFD simulation, solving the problem of unreasonable distribution of wind parameters at the coupling boundary due to excessive resolution deviation between mesoscale and microscale topographic maps, thereby improving the accuracy and reliability of wind resource assessment results for wind farms.
[0017] In the following description, some aspects and / or advantages of the general concept of this disclosure will be set forth, and other aspects and / or advantages will become apparent from the following description or from practice of the general concept of this disclosure. Attached Figure Description
[0018] These and / or other aspects and advantages of this application will become clearer and more readily understood from the following detailed description of embodiments of this application taken in conjunction with the accompanying drawings, wherein:
[0019] Figure 1 A flowchart illustrating a wind resource assessment method for a wind farm according to an exemplary embodiment of the present disclosure;
[0020] Figure 2 An example of regional division of a target topographic map according to an exemplary embodiment of the present disclosure is shown;
[0021] Figure 3 A flowchart illustrating a method for fusing microscale and mesoscale topographic maps to obtain a target topographic map according to an exemplary embodiment of the present disclosure;
[0022] Figure 4 An example of a target topographic map obtained by fusion according to an exemplary embodiment of the present disclosure is shown;
[0023] Figure 5 A flowchart illustrating a method for setting microscale coupled boundary conditions according to an exemplary embodiment of the present disclosure;
[0024] Figure 6 A structural block diagram of a wind resource assessment apparatus for a wind farm according to an exemplary embodiment of the present disclosure is shown. Detailed Implementation
[0025] The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings, examples of which are illustrated in the drawings, wherein the same reference numerals always refer to the same parts. The embodiments will now be described with reference to the accompanying drawings in order to explain this disclosure.
[0026] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.
[0027] It should be noted that the phrase "at least one of several items" in this disclosure refers to three parallel cases: "any one of the several items", "a combination of any number of the several items", and "all of the several items". For example, "including at least one of A and B" includes the following three parallel cases: (1) including A; (2) including B; (3) including A and B. As another example, "performing at least one of step one and step two" indicates the following three parallel cases: (1) performing step one; (2) performing step two; (3) performing both step one and step two.
[0028] Figure 1 A flowchart illustrating a wind resource assessment method for a wind farm according to an exemplary embodiment of the present disclosure is provided.
[0029] As an example, the wind resource assessment method for wind farms according to exemplary embodiments of this disclosure can be executed by an electronic device with data processing capabilities, such as a terminal (e.g., a personal laptop, desktop computer, etc.) or a server (e.g., a standalone server, server cluster, cloud platform, etc.). This disclosure does not limit this.
[0030] Reference Figure 1 In step S101, microscale and mesoscale topographic maps of the target area of the wind farm are obtained.
[0031] Here, the topographic resolution of mesoscale topographic maps is higher than that of microscale topographic maps.
[0032] The target area of a wind farm is the area of the wind farm for which wind resource assessment is required. The target area can be the entire area or a part of the wind farm, and can be set according to actual conditions and specific needs. As an exemplary embodiment, the location of the turbines of interest in the wind farm can be selected as the point of interest, and then the target area can be determined by expanding outward from the point of interest by a certain distance. As an example only, the outward expansion distance can be 6km. It should be understood that the size of the outward expansion distance can be selected according to simulation resources and specific application scenarios, and this disclosure does not limit it.
[0033] As an exemplary embodiment, the step of obtaining a microscale topographic map of the target area of a wind farm may include: acquiring measured topographic data of the wind farm or topographic data from the publicly available SRTM30m database based on the latitude and longitude coordinates of the target area to obtain a microscale topographic map of the target area. It should be understood that the topographic resolution of the microscale topographic map is a topographic map resolution suitable for microscale CFD simulation. As an example only, the topographic resolution of the microscale topographic map may be 50m or 30m.
[0034] As an exemplary embodiment, the step of obtaining a mesoscale topographic map of the target area of the wind farm may include: using the aforementioned points of interest as reference points for mesoscale WRF simulation, performing simulation modeling to obtain a WRF simulation result file, and then extracting the mesoscale topographic map of the target area from the innermost WRF simulation result file. In this exemplary embodiment, the topographic resolution of the mesoscale topographic map is the topographic map resolution corresponding to the WRF simulation result. As an example only, the topographic resolution of the mesoscale topographic map may be 1 km.
[0035] As an exemplary embodiment, the microscale topographic map and the mesoscale topographic map contain latitude and longitude information and corresponding topographic information, such as, but not limited to, elevation information.
[0036] In step S102, the microscale topographic map and the mesoscale topographic map are fused to obtain the target topographic map.
[0037] As an exemplary embodiment, the fused target topographic map may include: a mesoscale topographic preservation region at the outermost edge, a microscale topographic preservation region at the innermost edge, and a transition region between the microscale and mesoscale topographic preservation regions (i.e., a transition region from mesoscale high-resolution topography to microscale low-resolution topography). For example, Figure 2 An example of the regional division of the target topographic map is shown.
[0038] As an exemplary embodiment, a new layer can be created to generate the fused target topographic map, and the area of the new layer is the subsequent microscale simulation area; the area of the new layer is divided into three parts, namely the microscale topographic preservation area, the transition area, and the mesoscale topographic preservation area.
[0039] The following will combine Figure 3 The specific fusion method for integrating microscale and mesoscale topographic maps will not be elaborated here.
[0040] In step S103, a microscale CFD simulation model is constructed on the target topographic map, and a corresponding microscale grid is generated for the constructed microscale CFD simulation model.
[0041] In step S104, based on the mesoscale meteorological data obtained from the simulation modeling of the wind farm, the microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model is obtained.
[0042] As an exemplary embodiment, the types of meteorological data may include, but are not limited to, wind data. In addition, it may also include meteorological data such as temperature and air pressure, which are not limited in this disclosure. For example, wind data may include, but is not limited to, at least one of the following: wind speed, wind direction, and turbulence.
[0043] As an exemplary embodiment, step S104 may include: extracting mesoscale meteorological data corresponding to multiple outer boundary surfaces of the microscale CFD simulation model from mesoscale meteorological data for the wind farm, wherein the multiple outer boundary surfaces include: an eastward boundary surface, a southward boundary surface, a westward boundary surface, and a northward boundary surface; and then, for each of the multiple outer boundary surfaces, obtaining meteorological data corresponding to each microscale grid on the outer boundary surface based on the mesoscale meteorological data corresponding to the outer boundary surface.
[0044] Further, as an exemplary embodiment, for each of the plurality of outer boundary surfaces, the meteorological data corresponding to each microscale grid on the outer boundary surface can be obtained by performing spatial interpolation calculation on the mesoscale meteorological data corresponding to the outer boundary surface. As an example, the mesoscale meteorological data corresponding to each outer boundary surface may include: meteorological data at each mesoscale grid corresponding to the outer boundary surface, where the mesoscale grid is the grid generated for the mesoscale WRF simulation model. For example, if the outer boundary surface corresponds directly to a mesoscale grid, then each mesoscale grid corresponding to the outer boundary surface is: each mesoscale grid that directly corresponds to it; if the outer boundary surface does not directly correspond to a mesoscale grid, then each mesoscale grid corresponding to the outer boundary surface is: each mesoscale grid adjacent to it.
[0045] It should be understood that meteorological data corresponding to each microscale grid on the outer boundary surface can also be obtained based on the mesoscale meteorological data corresponding to the outer boundary surface through other appropriate means, and this disclosure does not limit this.
[0046] In step S105, wind resource assessment data for the target area is obtained based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid.
[0047] As an exemplary embodiment, step S105 may include: performing simulation based on a microscale CFD simulation model (e.g., a turbulence model) and the microscale meteorological data (i.e., boundary conditions) corresponding to its outer boundary, as well as a microscale grid, and obtaining wind resource assessment data for the target area when the simulation converges.
[0048] According to exemplary embodiments of this disclosure, a method for setting boundary conditions for microscale coupled simulation in wind farms is proposed. This method solves the problem of unreasonable distribution of wind parameters at coupled boundaries due to excessive resolution deviation between mesoscale and microscale topographic maps. It can better achieve the coupling of mesoscale WRF simulation and microscale CFD simulation, thereby ensuring more accurate and reliable wind farm resource assessment.
[0049] Figure 3 A flowchart illustrating a method for fusing microscale and mesoscale topographic maps to obtain a target topographic map according to an exemplary embodiment of the present disclosure is shown.
[0050] Reference Figure 3 In step S201, the first region on the mesoscale topographic map is retained as the mesoscale topographic retention area. The first region is the outermost circle of the target area.
[0051] As an exemplary embodiment, the outer boundary of the mesoscale topographic preservation area is the outer boundary of the target area, and the inner boundary of the mesoscale topographic preservation area is parallel to the outer boundary of the mesoscale topographic preservation area, with the distance between the inner boundary and the outer boundary of the mesoscale topographic preservation area being a first preset distance. As an example, the first preset distance may be based on the topographic resolution D of the mesoscale topographic map. S For example, the first preset distance can be less than the topographic resolution of the mesoscale topographic map, such as 0.75D. S .
[0052] In step S202, the second region in the microscale topographic map is retained as the microscale topographic retention area. The second region is the innermost circle of the target area.
[0053] As an exemplary embodiment, the outer boundary of the transition region is the inner boundary of the mesoscale topographic preservation region, the inner boundary of the transition region is the outer boundary of the microscale topographic preservation region, and the inner boundary of the transition region is parallel to the outer boundary of the transition region, with the distance between the inner boundary and the outer boundary of the transition region being a second preset distance. As an example, the second preset distance can be determined based on the topographic resolution of the mesoscale topographic map, for example, it can be D... S .
[0054] In step S203, the topographic resolution and topographic information of the transition region are determined based on the microscale and mesoscale topographic maps. The topographic resolution of the transition region lies between that of the mesoscale topographic map and the microscale topographic map.
[0055] As an exemplary embodiment, step S203 may include: calculating the terrain resolution and terrain information of the transition region based on the terrain resolution and terrain information of the region corresponding to the transition region in both the microscale terrain map and the mesoscale terrain map, and / or the terrain resolution and terrain information of both the mesoscale terrain preservation region and the microscale terrain preservation region by interpolation.
[0056] As an exemplary embodiment, for the three regions of the target topographic map, the topographic resolution and elevation of regions A and C are consistent with the microscale and mesoscale topographic maps, respectively; the topographic resolution and elevation of region B can be obtained through linear interpolation, ultimately forming a fused topographic map as the topographic map calculated at the microscale, such as... Figure 4 As shown.
[0057] It should be understood that the terrain resolution and terrain information of the transition area can also be calculated by other appropriate methods, such as Gaussian blurring, and this disclosure does not limit this.
[0058] According to exemplary embodiments of this disclosure, a terrain-based fusion method is employed to ensure consistent elevation information near the boundaries of micro- and meso-scale topographic maps. To address the issue of setting coupling boundaries during micro- and meso-scale coupling, this disclosure provides a terrain fusion method based on micro- and meso-scale simulation and a method for setting micro- and meso-scale coupling simulation boundaries based on terrain fusion, thereby resolving the micro- and meso-scale coupling boundary setting problem and ensuring more accurate and reliable resource assessment of wind farms.
[0059] Figure 5 A flowchart illustrating a method for setting microscale coupling boundary conditions according to an exemplary embodiment of the present disclosure is shown.
[0060] Mesoscale-microscale coupling specifically refers to the combination of mesoscale meteorological simulation and microscale CFD wind farm simulation, taking into account the influence of atmospheric boundary layer patterns on CFD simulation. Boundary conditions specifically refer to the boundary conditions set after modeling the wind farm in CFD simulation, including velocity, temperature, pressure, turbulence, etc., to ensure that the simulation results of meteorological WRF are used as inputs for CFD boundaries.
[0061] Reference Figure 5 In step S301, mesoscale WRF simulation modeling is performed. The location of the unit of interest is selected as the point of interest, and the point of interest is used as the reference point for mesoscale WRF simulation to perform simulation modeling.
[0062] In step S302, micro- and meso-scale topographic maps are acquired. A certain distance is extended outward from the point of interest to form the micro-scale simulation area, and micro-scale topographic data is obtained based on latitude and longitude coordinates. Micro-scale CFD topographic data can typically be obtained from measured topographic data of wind farms or topographic data from the publicly available SRTM30m database. Meso-scale topographic data can be extracted from the innermost result file of the WRF simulation based on the micro-scale simulation area. Both micro-scale and meso-scale topographic data include latitude and longitude information and corresponding elevation. As an example, the simulation area can be 6 km, and the area size can be selected according to simulation resources and specific application scenarios.
[0063] In step S303, the simulation area is characterized. A new layer is created to generate the fused topographic map; the layer's area represents the micro-scale simulation area. The new layer area is divided into three parts: a micro-scale topographic preservation area, a transition area, and a meso-scale topographic preservation area, as shown below. Figure 2 As shown. The boundaries of the three regions are set as follows: (1) Mesoscale topographic preservation region C, the distance between its inner and outer boundaries must be less than the mesoscale topographic resolution D. S For example, the distance between its inner and outer boundaries can be 0.75D. S (2) Transition region B is the transition region from mesoscale high-resolution terrain to microscale low-resolution terrain. The distance between its inner and outer boundaries can be the mesoscale terrain resolution. The rest of the new layer is the microscale terrain preservation region A.
[0064] In step S304, the information from the fused topographic map is generated. For the three regions of the new layer, the topographic information of regions A and C is consistent with the mesoscale and microscale topographic information, respectively, obtained by extracting the corresponding latitude, longitude, and altitude. The topographic resolution and altitude of region B are obtained through linear interpolation. The final fused topographic map is then used as the topographic map for microscale calculations, as shown below. Figure 4 As shown.
[0065] In step S305, the coupling time is determined and mesoscale results are extracted. Microscale CFD simulation modeling and mesh generation are performed on the fused topographic map. The microscale includes six boundaries: lower boundary, upper boundary, and four boundaries: east, south, west, and north. The mesoscale-microscale simulation coupling primarily focuses on setting the four boundaries (east, south, west, and north). As an example, the start time and time period of the mesoscale-microscale simulation coupling can be determined, and mesoscale result information for the four boundaries within the corresponding time period can be extracted based on a fixed time interval (e.g., 1 minute). This information may include, for example, wind speed, turbulence, and temperature.
[0066] In step S306, the wind parameter information is spatially downscaled. For the mesoscale results extracted from the four boundaries at each time interval, the wind parameter distribution on the microscale boundary grid can be obtained through spatial linear interpolation. Finally, the microscale grid wind parameter information for a series of time intervals within the coupling time period can be obtained as the boundary information for subsequent microscale calculations. At this point, the entire process of setting mesoscale and microscale coupling boundary conditions is complete.
[0067] The exemplary embodiments disclosed herein have the following advantages:
[0068] The simulation is highly reliable. By setting the boundary conditions for micro-scale simulation based on the terrain fusion method, the accuracy and rationality of wind parameter extraction at the boundary can be guaranteed, avoiding the problem of unreasonable boundary condition settings caused by inconsistent micro-scale terrain resolution.
[0069] With high computational accuracy, the reasonable use of the micro- and meso-scale coupled boundary setting method can ensure that the impact of local meteorological patterns is considered in the assessment of wind farms, thus making the resource assessment of wind farms more accurate and reliable.
[0070] This disclosure makes the process of setting coupled boundaries more reasonable and reliable by setting micro- and meso-scale boundaries based on terrain fusion; this disclosure uses terrain fusion method to obtain the fused micro-scale computational terrain, which can ensure the accuracy of micro- and meso-scale coupled simulation boundaries.
[0071] Figure 6 A structural block diagram of a wind resource assessment apparatus for a wind farm according to an exemplary embodiment of the present disclosure is shown.
[0072] A wind resource assessment apparatus for a wind farm according to an exemplary embodiment of the present disclosure includes: an initial topographic map acquisition unit 101, a target topographic map acquisition unit 102, a model building unit 103, a microscale data acquisition unit 104, and an assessment data acquisition unit 105.
[0073] Specifically, the initial topographic map acquisition unit 101 is configured to acquire microscale and mesoscale topographic maps of the target area of the wind farm, wherein the topographic resolution of the mesoscale topographic map is higher than that of the microscale topographic map.
[0074] The target topographic map acquisition unit 102 is configured to fuse the microscale topographic map and the mesoscale topographic map to obtain the target topographic map.
[0075] The model building unit 103 is configured to build a microscale CFD simulation model on the target topographic map and generate a microscale mesh.
[0076] The microscale data acquisition unit 104 is configured to acquire microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on the mesoscale meteorological data obtained from the simulation modeling of the wind farm.
[0077] The evaluation data acquisition unit 105 is configured to obtain wind resource evaluation data of the target area based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid.
[0078] As an exemplary embodiment, the target topographic map may include: a mesoscale topographic preservation area in the outermost circle, a microscale topographic preservation area in the innermost circle, and a transition area between the microscale topographic preservation area and the mesoscale topographic preservation area.
[0079] As an exemplary embodiment, the target topographic map acquisition unit 102 may be configured to: retain a first region in the mesoscale topographic map as the mesoscale topographic retention region; retain a second region in the microscale topographic map as the microscale topographic retention region; determine the topographic resolution and topographic information of the transition region based on the microscale topographic map and the mesoscale topographic map, wherein the topographic resolution of the transition region is between the topographic resolution of the mesoscale topographic map and the topographic resolution of the microscale topographic map; wherein the first region is the outermost circle of the target region, and the second region is the innermost circle of the target region.
[0080] As an exemplary embodiment, the outer boundary of the mesoscale terrain preservation area is the outer boundary of the target area, and the inner boundary of the mesoscale terrain preservation area is parallel to the outer boundary of the mesoscale terrain preservation area and the distance between the inner boundary and the outer boundary of the mesoscale terrain preservation area is a first preset distance; the outer boundary of the transition area is the inner boundary of the mesoscale terrain preservation area, the inner boundary of the transition area is the outer boundary of the microscale terrain preservation area, and the inner boundary of the transition area is parallel to the outer boundary of the transition area and the distance between the inner boundary and the outer boundary of the transition area is a second preset distance; wherein, the first preset distance and the second preset distance are determined based on the terrain resolution of the mesoscale topographic map.
[0081] As an exemplary embodiment, the microscale data acquisition unit 104 can be configured to: extract mesoscale meteorological data corresponding to multiple outer boundary surfaces of the microscale CFD simulation model from mesoscale meteorological data for the wind farm, wherein the multiple outer boundary surfaces include: an eastward boundary surface, a southward boundary surface, a westward boundary surface, and a northward boundary surface; for each of the multiple outer boundary surfaces, based on the mesoscale meteorological data corresponding to that outer boundary surface, acquire meteorological data corresponding to each microscale grid on that outer boundary surface.
[0082] As an exemplary embodiment, the microscale data acquisition unit 104 can be configured to: for each of the plurality of outer boundary surfaces, perform spatial interpolation calculation on the mesoscale meteorological data corresponding to the outer boundary surface to obtain the meteorological data corresponding to each microscale grid on the outer boundary surface; wherein, the mesoscale meteorological data corresponding to each outer boundary surface includes: the meteorological data at each mesoscale grid corresponding to the outer boundary surface.
[0083] As an exemplary embodiment, the target topographic map acquisition unit 102 may be configured to: calculate the topographic resolution and topographic information of the transition region by interpolation based on the topographic resolution and topographic information of the region corresponding to the transition region in both the microscale topographic map and the mesoscale topographic map, and / or the topographic resolution and topographic information of both the mesoscale topographic preservation region and the microscale topographic preservation region.
[0084] It should be understood that the specific processing performed by the wind resource assessment apparatus for a wind farm according to the exemplary embodiments of this disclosure has been referenced. Figures 1 to 5 A detailed description has been provided, and the relevant details will not be repeated here.
[0085] It should be understood that the various units in the wind resource assessment apparatus for a wind farm according to exemplary embodiments of this disclosure may be implemented as hardware components and / or software components. Those skilled in the art can implement the various units, for example, using field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs), based on the processes performed by each defined unit.
[0086] An electronic device according to an exemplary embodiment of the present disclosure includes a processor (not shown) and a memory (not shown), wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform a wind resource assessment method for a wind farm as described in the exemplary embodiment above.
[0087] As an example, the electronic device may be an electronic device with data processing capabilities. For example, the electronic device may be a terminal (such as a personal laptop, desktop computer, etc.) or a server (such as a standalone server, server cluster, cloud platform, etc.). This disclosure does not limit this.
[0088] According to exemplary embodiments of this disclosure, a computer-readable storage medium storing instructions may also be provided, wherein when the instructions are executed by at least one processor, they cause at least one processor to perform the wind resource assessment method for a wind farm as described in the exemplary embodiments above. Examples of computer-readable storage media herein include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to provide the computer program and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer program. The computer program in the aforementioned computer-readable storage medium can run in an environment deployed in computer devices such as clients, hosts, agent devices, servers, etc. Furthermore, in one example, the computer program and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.
[0089] According to exemplary embodiments of the present disclosure, a computer program product may also be provided, wherein the instructions in the computer program product are executable by at least one processor to perform the wind resource assessment method for a wind farm as described in the exemplary embodiments above.
[0090] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.
[0091] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.
Claims
1. A method for assessing wind resources in a wind farm, characterized in that, The wind resource assessment method includes: Obtain microscale and mesoscale topographic maps of the target area of the wind farm, wherein the topographic resolution of the mesoscale topographic map is higher than that of the microscale topographic map; The micro-scale topographic map and the meso-scale topographic map are fused to obtain the target topographic map; A microscale CFD simulation model is constructed on the target topographic map, and a microscale mesh is generated. Based on the mesoscale meteorological data obtained from the simulation modeling of the wind farm, the microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model is obtained. Based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid, wind resource assessment data for the target area are obtained.
2. The wind resource assessment method according to claim 1, characterized in that, The target topographic map includes: a mesoscale topographic preservation area in the outermost circle, a microscale topographic preservation area in the innermost circle, and a transition area between the microscale topographic preservation area and the mesoscale topographic preservation area.
3. The wind resource assessment method according to claim 2, characterized in that, The steps of fusing the microscale topographic map and the mesoscale topographic map to obtain the target topographic map include: The first region in the mesoscale topographic map is retained as the mesoscale topographic retention region; The second region in the microscale topographic map is retained as the microscale topographic retention region; Based on the microscale topographic map and the mesoscale topographic map, the topographic resolution and topographic information of the transition region are determined, wherein the topographic resolution of the transition region is between the topographic resolution of the mesoscale topographic map and the topographic resolution of the microscale topographic map. Wherein, the first region is the outermost circle of the target region, and the second region is the innermost circle of the target region.
4. The wind resource assessment method according to claim 3, characterized in that, The outer boundary of the mesoscale terrain preservation area is the outer boundary of the target area, and the inner boundary of the mesoscale terrain preservation area is parallel to the outer boundary of the mesoscale terrain preservation area and the distance between the inner boundary and the outer boundary of the mesoscale terrain preservation area is a first preset distance. The outer boundary of the transition region is the inner boundary of the mesoscale topography preservation region, the inner boundary of the transition region is the outer boundary of the microscale topography preservation region, the inner boundary of the transition region is parallel to the outer boundary of the transition region, and the distance between the inner boundary of the transition region and the outer boundary of the transition region is a second preset distance; The first preset distance and the second preset distance are determined based on the topographic resolution of the mesoscale topographic map.
5. The wind resource assessment method according to claim 1, characterized in that, The steps for obtaining the microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on the mesoscale meteorological data obtained from the simulation model of the wind farm include: The mesoscale meteorological data corresponding to multiple outer boundary surfaces of the microscale CFD simulation model are extracted from the mesoscale meteorological data of the wind farm. The multiple outer boundary surfaces include: eastward boundary surface, southward boundary surface, westward boundary surface, and northward boundary surface. For each of the plurality of outer boundary surfaces, meteorological data corresponding to each microscale grid on the outer boundary surface is obtained based on the mesoscale meteorological data corresponding to the outer boundary surface.
6. The wind resource assessment method according to claim 5, characterized in that, For each of the plurality of outer boundary surfaces, the steps for obtaining the meteorological data corresponding to each micro-scale grid on that outer boundary surface based on the mesoscale meteorological data corresponding to that outer boundary surface include: For each of the multiple outer boundary surfaces, spatial interpolation is performed on the mesoscale meteorological data corresponding to that outer boundary surface to obtain the meteorological data corresponding to each microscale grid on that outer boundary surface. The mesoscale meteorological data corresponding to each outer boundary surface includes meteorological data at each mesoscale grid corresponding to that outer boundary surface.
7. The wind resource assessment method according to claim 3, characterized in that, The steps for determining the topographic resolution and topographic information of the transition region based on the microscale topographic map and the mesoscale topographic map include: Based on the topographic resolution and topographic information of the region corresponding to the transition region in both the microscale topographic map and the mesoscale topographic map, and / or the topographic resolution and topographic information of both the mesoscale topographic preservation region and the microscale topographic preservation region, the topographic resolution and topographic information of the transition region are obtained by interpolation calculation.
8. A wind resource assessment device for a wind farm, characterized in that, The wind resource assessment device includes: The initial topographic map acquisition unit is configured to acquire microscale and mesoscale topographic maps of the target area of the wind farm, wherein the topographic resolution of the mesoscale topographic map is higher than that of the microscale topographic map. The target topographic map acquisition unit is configured to fuse the microscale topographic map and the mesoscale topographic map to obtain the target topographic map; The model building unit is configured to build a microscale CFD simulation model on the target topographic map and generate a microscale mesh. The microscale data acquisition unit is configured to acquire microscale meteorological data corresponding to the outer boundary of the microscale CFD simulation model based on the mesoscale meteorological data obtained from the simulation modeling of the wind farm. The assessment data acquisition unit is configured to obtain wind resource assessment data for the target area based on the microscale CFD simulation model and the microscale meteorological data corresponding to its outer boundary, as well as the microscale grid.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it causes the processor to perform the wind resource assessment method for wind farms as described in any one of claims 1 to 7.
10. An electronic device, characterized in that, The electronic device includes: processor; A memory storing a computer program that, when executed by a processor, causes the processor to perform the wind resource assessment method for a wind farm as described in any one of claims 1 to 7.
11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the wind resource assessment method for wind farms as described in any one of claims 1 to 7.