Wind energy resource development potential assessment method, device and equipment and storage medium

Abstract

The embodiment of the invention provides a wind energy resource development potential assessment method and device, equipment and a storage medium. Comprising the following steps: acquiring target meteorological data, a limited land area and an accessible range of a power system in a research area; wherein the target meteorological data represents meteorological data, based on a time sequence, of preset grid points in a research area; determining an effective area in the research area according to the target meteorological data, the limited land area and the accessible range of the power system; wherein the effective area represents an area where wind energy resources can be developed; and determining an evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the limited land area, the accessible range of the power system and the effective area. According to the method, the evaluation efficiency of the wind energy resource development potential can be improved.

Description

Technical Field

[0001] This application relates to the technical field of wind power generation, and in particular, to a method, device, equipment and storage medium for evaluating the development potential of wind energy resources. Background Art

[0002] As a renewable energy source, wind energy can not only supplement traditional fossil energy and ensure energy supply, but also help accelerate the energy transition as a clean and renewable energy source.

[0003] Since the distribution of wind energy resources varies greatly in different regions, and the wind power development conditions in different regions are greatly affected by local land use planning constraints and construction conditions, it is necessary to evaluate the development potential of wind energy resources in a region. At present, the evaluation results of the development potential of wind energy resources in a region are mostly obtained by manually processing and analyzing wind energy resources, restrictive factors, and regional geographical information, resulting in low evaluation efficiency. Summary of the Invention

[0004] Embodiments of this application provide a method, device, equipment and storage medium for evaluating the development potential of wind energy resources, so as to achieve the effect of improving the evaluation efficiency of the development potential of wind energy resources.

[0005] In a first aspect, embodiments of this application provide a method for evaluating the development potential of wind energy resources, including:

[0006] Obtain target meteorological data, restricted use areas, and the accessible range of the power system within the research area; wherein, the target meteorological data represents meteorological data based on time series of preset grid points within the research area;

[0007] Determine the effective area within the research area according to the target meteorological data, the restricted use areas, and the accessible range of the power system; wherein, the effective area represents the area where wind energy resources can be developed;

[0008] Determine the evaluation result of the development potential of wind energy resources in the research area according to the target meteorological data, the restricted use areas, the accessible range of the power system, and the effective area.

[0009] In a possible implementation manner, the obtaining of the target meteorological data within the research area includes:

[0010] Obtain geographical information data, reanalysis data, and meteorological observation data within the research area;

[0011] Based on the geographical information data, perform spatial interpolation processing on the reanalysis data to obtain first meteorological data; and perform temporal interpolation processing on the meteorological observation data to obtain second meteorological data;

[0012] Based on the first meteorological data and the second meteorological data, the target meteorological data is obtained.

[0013] In a possible implementation manner, the spatial interpolation processing of the reanalysis data based on the geographic information data to obtain the first meteorological data includes:

[0014] Performing geographically weighted regression analysis processing on the reanalysis data based on the geographic information data to obtain the third meteorological data;

[0015] Performing linear interpolation processing on the third meteorological data according to a preset spatial resolution to obtain the first meteorological data.

[0016] In a possible implementation manner, the time interpolation processing of the meteorological observation data to obtain the second meteorological data includes:

[0017] Performing spectrum analysis on the meteorological observation data to obtain a spectrum analysis result;

[0018] Performing screening processing on the spectrum analysis result to obtain a screened spectrum analysis result;

[0019] Performing time-domain reconstruction on the screened spectrum analysis result to obtain the fourth meteorological data;

[0020] Performing linear interpolation processing on the fourth meteorological data to obtain the second meteorological data.

[0021] In a possible implementation manner, the obtaining of the accessible range of the power system within the research area includes:

[0022] Obtaining the power distribution data within the research area and the recommended distance of the transmission line;

[0023] Determining the accessible range of the power system according to the power distribution data and the recommended distance.

[0024] In a possible implementation manner, the determining of the effective area within the research area according to the target meteorological data, the restricted use area, and the accessible range of the power system includes:

[0025] Obtaining the area with exploitable wind energy resources according to the target meteorological data;

[0026] Obtaining the area with exploitable land use according to the restricted use area and the accessible range of the power system;

[0027] Obtaining the effective area according to the area with exploitable wind energy resources and the area with exploitable land use.

[0028] In a possible implementation manner, obtaining the developable land area according to the restricted land area and the accessible range of the power system includes:

[0029] Determining a buffer area of the restricted land within the research area according to the restricted land area and a preset safety distance; wherein, the safety distance represents the distance between various types of restricted land and various types of restrictive buildings;

[0030] Obtaining the developable land area according to the restricted land area, the buffer area of the restricted land, and the accessible range of the power system.

[0031] In a possible implementation manner, determining the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land area, the accessible range of the power system, and the effective area includes:

[0032] Determining the developable capacity of the research area according to the effective area and the technical parameters of a preset wind turbine generator;

[0033] Determining the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land area, the accessible range of the power system, the effective area, and the developable capacity.

[0034] In a second aspect, an embodiment of the present application provides an evaluation device for wind energy resource development potential, including:

[0035] An acquisition module, configured to acquire target meteorological data, a restricted land area, and an accessible range of a power system within a research area; wherein, the target meteorological data represents meteorological data based on a time series of preset grid points within the research area;

[0036] A first determination module, configured to determine an effective area within the research area according to the target meteorological data, the restricted land area, and the accessible range of the power system; wherein, the effective area represents an area where wind energy resources can be developed;

[0037] A second determination module, configured to determine the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land area, the accessible range of the power system, and the effective area.

[0038] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;

[0039] The memory stores computer execution instructions;

[0040] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the first aspect and / or various possible implementation manners of the first aspect as described above.

[0041] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the first aspect and / or various possible implementation manners of the first aspect as described above.

[0042] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the first aspect and / or various possible implementation manners of the first aspect as described above.

[0043] The evaluation method, device, equipment and storage medium for the development potential of wind energy resources provided by the embodiments of the present application automatically analyze and process aspects such as wind energy resources, land use planning and electronic system distribution in the research area based on target meteorological data, restricted use area and the accessible range of the power system, obtain the effective area of the developable wind energy resources in the research area, and then evaluate the development potential of the wind energy resources in the research area based on the effective area to obtain the evaluation result. In this way, the automatic evaluation of the development potential of wind energy resources in the research area can be realized, without manual processing, improving the evaluation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0045] Figure 1 It is a schematic flow chart of the evaluation method for the development potential of wind energy resources provided by the present application Figure 1 ;

[0046] Figure 2 It is a schematic flow chart of the evaluation method for the development potential of wind energy resources provided by the present application Figure 2 ;

[0047] Figure 3 It is a schematic flow chart of the evaluation method for the development potential of wind energy resources provided by the present application Figure 3 ;

[0048] Figure 4 It is a schematic structural diagram of the evaluation device for the development potential of wind energy resources provided by the present application;

[0049] Figure 5 It is a schematic structural diagram of the electronic device provided by the present application.

[0050] Through the above-mentioned drawings, specific embodiments of the present application have been shown, and will be described in more detail hereinafter. These drawings and the written description are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by reference to specific embodiments. Detailed Description of the Embodiment

[0051] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0052] The topographies, landforms, climates, etc. in different regions vary greatly, resulting in significant differences in the distribution of wind energy resources. Moreover, the conditions for wind power development are also restricted by the local land use planning conditions. Therefore, it is necessary to evaluate the development potential of wind energy resources. In the related art, the development potential of wind energy resources in a certain region is mostly evaluated manually, but the evaluation efficiency of this method is relatively low.

[0053] In view of this, the present application provides a method for evaluating the development potential of wind energy resources. According to the meteorological data, restricted land use data, and the accessible range of the power system in the research area, a standardized evaluation scheme is established to automatically evaluate the development potential of wind energy resources in the research area without manual processing, improving the evaluation efficiency.

[0054] The execution subject of the embodiments of the present application can be an electronic device with processing capabilities, such as a computer, a server, a laptop computer, etc., which is not limited herein.

[0055] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the drawings.

[0056] Figure 1 Schematic flow of the method for evaluating the development potential of wind energy resources provided by the present application Figure 1 , as Figure 1 shown, the method includes:

[0057] S101. Obtain the target meteorological data, restricted land use area, and the accessible range of the power system in the research area.

[0058] Exemplarily, the above-mentioned research area represents the geographical scope of wind power project development. For example, it can be a village area, a county area, or a custom geographical scope, etc. The scope of the research area in the embodiments of the present application is not limited. The above-mentioned target meteorological data represents the time-series-based meteorological data of preset grid points within the research area. In other words, the target meteorological data within the research area has both spatial distribution characteristics and time distribution characteristics. For example, the target meteorological data may include time-series-based temperature data, pressure data, humidity data, wind speed data, wind direction data, etc. of the preset grid points in the research area. The embodiments of the present application do not limit this here. It can be understood that the research area can be divided into grids according to the preset spatial resolution. Therefore, the research area can include multiple grid points.

[0059] The above-mentioned restricted land use data represents the vector boundary data of the land restricted for use within the research area. For example, it may include vector boundary data such as nature reserves, basic farmlands, ecological red lines, airport clearance ranges, etc. It should be noted that the embodiments of the present application do not limit the types of land included in the restricted land use data, and can be specifically set according to actual needs.

[0060] The above-mentioned accessible range of the power system represents the area and capacity range that matches the distribution of the power system within the research area. That is, if the wind power project is in the area within the accessible range of the power system, the distance from the booster station or substation is reasonable, and within the allowable range of its accessible capacity, it is convenient to smoothly connect the power generated by the wind power project to the power system for transmission and distribution, ensuring the stable operation of the power system, and preventing situations such as the power quality not meeting the requirements, the power being unable to be effectively transmitted, or the system being overloaded due to problems such as line loss, voltage drop, and over-limit of the access capacity.

[0061] In one example, the electronic device can directly communicate with other devices to obtain the target meteorological data, restricted land use area, and accessible range of the power system within the research area; or it can also receive the target meteorological data, restricted land use area, and accessible range of the power system within the research area imported by an external device.

[0062] In another example, the electronic device can first obtain the geographic information data of the research area, then analyze the data and meteorological observation data, and then perform interpolation processing based on the geographic information data, the re-analyzed data and the meteorological observation data to obtain the target meteorological data. For example, the electronic device can fuse the geographic information data, the field observation data and the re-analyzed data based on the Geographic Information System (GIS) software and the spatial interpolation algorithm, and perform interpolation processing according to the distance between each data point and the preset grid point, refine the data from different sources and different resolutions to the unified preset grid point scale, and construct the target meteorological data based on the time series to ensure that each grid point has a complete and continuous meteorological change record.

[0063] Optionally, the electronic device can preprocess the above-mentioned target meteorological data, the restricted use area and the accessible range of the power system. For example, it can unify the coordinate formats and time formats of various types of data to ensure the availability and consistency of the data.

[0064] S102. Determine the effective area in the research area according to the target meteorological data, the restricted use area and the accessible range of the power system.

[0065] Exemplarily, the above-mentioned effective area represents the area where wind energy resources can be developed, that is, the area within this effective area can meet the meteorological conditions for wind energy resource development, match the distribution of the power system, and the land meets the requirements of the land use plan.

[0066] In one example, the electronic device can first screen out the grid point set that meets the meteorological conditions for wind energy resource development according to the target meteorological data. Among them, the meteorological conditions that meet the wind energy resource development can be, for example, the set wind speed threshold, wind power density, etc., which are not limited in this embodiment of the present application. Then, according to the complement of the restricted use area and the intersection of the accessible range of the power system, screen out the developable grid point set; finally, determine the effective area of the research area according to the intersection of the developable grid point set and the grid point set that meets the meteorological conditions for wind energy resource development.

[0067] S103. Determine the evaluation result of the wind energy resource development potential in the research area according to the target meteorological data, the restricted use area, the accessible range of the power system and the effective area.

[0068] Exemplarily, the above-mentioned evaluation result can be, for example, the score of the wind energy resource development potential in the research area. It should be noted that the form of the score is not limited in this embodiment of the present application. For example, it can be a ten-point system or a hundred-point system.

[0069] In one example, the electronic device may preset calculation methods for multiple evaluation indicators. Then, based on the target meteorological data, restricted use area, accessible range of the power system, and effective area, multiple evaluation indicators can be obtained. According to the multiple evaluation indicators, the score of the research area, that is, the evaluation result, can be calculated. Exemplarily, the evaluation indicators may include wind resource indicators. For example, based on the target meteorological data, evaluation indicators such as the average wind speed, wind energy power density, and effective wind speed hours in the effective area can be calculated to reflect the richness and stability of the wind energy resources. It may also include developable land indicators. For example, by calculating the proportion of the land area of the effective area to the total area of the research area, the higher the proportion, the more space there is to layout wind farms, and the corresponding development potential is improved. It should be noted that the types and quantities of the evaluation indicators in the embodiments of the present application are not limited and can be specifically set according to actual needs.

[0070] The evaluation method for the development potential of wind energy resources provided by the embodiments of the present application automatically analyzes and processes aspects such as wind energy resources, land use planning, and power system distribution in the research area based on the target meteorological data, restricted use area, and accessible range of the power system, obtains the effective area of the developable wind energy resources in the research area, and then evaluates the development potential of the wind energy resources in the research area based on the effective area to obtain the evaluation result. Through this method, the automatic evaluation of the development potential of wind energy resources in the research area can be realized without manual processing, improving the evaluation efficiency.

[0071] Figure 2 It is a schematic flow of the evaluation method for the development potential of wind energy resources provided by the present application Figure 2 , such as Figure 2 shown. Based on the embodiments in Figure 1 , a detailed description of how to obtain the target meteorological data in the research area is provided. The method includes:

[0072] S201. Obtain the geographic information data, reanalysis data, and meteorological observation data in the research area.

[0073] Exemplarily, the geographic information data represents the geographic environment data in the research area. For example, it may include data such as topography, elevation, slope, aspect, altitude, and surface type. The geographic information data can be obtained from public data, professional geographic information platforms, or remote sensing satellite images and other channels.

[0074] The reanalysis data refers to the meteorological element data in the historical period obtained by integrating meteorological observation data from multiple sources and using a numerical weather prediction model for retrospective simulation. For example, it may include temperature data, pressure data, humidity data, wind speed data, wind direction data, etc. based on time series. The reanalysis data can be obtained from the International Meteorological Organization, meteorological service providers, and other channels.

[0075] Meteorological observation data refers to meteorological element data directly obtained through observation means such as ground meteorological stations, radiosondes, satellites, and radars, such as temperature, humidity, air pressure, wind speed, wind direction, precipitation, etc. This meteorological observation data can be obtained from meteorological departments, local meteorological stations and other channels.

[0076] In one example, the electronic device can receive geographical information data, reanalysis data, and meteorological observation data within the research area imported by an external device. The external device can be, for example, a USB flash drive, etc., or extract geographical information data, reanalysis data, and meteorological observation data within the research area from a database.

[0077] S202. Perform spatial interpolation processing on the reanalysis data based on the geographical information data to obtain first meteorological data.

[0078] Exemplarily, the above-mentioned first meteorological data represents the meteorological data after spatial interpolation processing. As mentioned above, the reanalysis data can integrate meteorological observation data from multiple sources and usually has a high spatio-temporal coverage, but its spatial resolution is low. Therefore, geographical information data with a high spatial resolution can be used to perform spatial interpolation processing on the reanalysis data to obtain first meteorological data with a higher spatial resolution. For example, geographical weighted regression (GWR) can be performed on the reanalysis data based on the geographical information data to obtain the first meteorological data.

[0079] In a possible implementation, perform geographical weighted regression analysis processing on the reanalysis data based on the geographical information data to obtain third meteorological data; and perform linear interpolation processing on the third meteorological data according to a preset spatial resolution to obtain first meteorological data. Among them, the above-mentioned third meteorological data represents the meteorological data after geographical weighted regression analysis processing.

[0080] Specifically, the formula for geographical weighted regression analysis can be as follows:

[0081] , Formula (1)

[0082] Among them, is the target variable, such as wind speed, temperature, air pressure, etc. in the reanalysis data; is the th explanatory variable at the point, such as altitude, slope, surface type, etc. in the geographical information data; is the geographical coordinate of the point; is the regression coefficient dependent on the geographical location; is the residual term; is the intercept term, which is a function related to location and represents a basic and average meteorological data that may exist at that location without considering the influence of other independent variables (such as elevation, slope, aspect, etc.).

[0083] Taking the geographical information data including elevation and slope, and the reanalysis data as wind speed data as an example, substituting the elevation and slope data in the above geographical information data, and the wind speed data in the reanalysis data into the above formula (1), the regression coefficients and intercept terms at each geographical coordinate can be obtained. Furthermore, based on the regression coefficients and intercept terms at each geographical coordinate, the predicted wind speed value at that geographical coordinate, that is, the wind speed data in the third meteorological data, can be predicted, and then the third meteorological data including multiple meteorological elements can be obtained.

[0084] Furthermore, according to the preset spatial resolution, linear interpolation processing can be performed on the third meteorological data for each grid point to obtain the first meteorological data. For example, according to the preset spatial resolution, the neighborhood range participating in linear interpolation can be determined, and then the distance weights from each grid point in the neighborhood to the target grid point can be calculated. The closer the distance, the higher the weight, following the principle of linear decrease. For example, the target grid point is P, and its 4 neighboring grid points are A, B, C, and D respectively, and the distances to P are d1, d2, d3, and d4 in sequence, then their corresponding weights are w1, w2, w3, and w4 respectively, and this weight can be calculated through the following formula (2); for each target grid point, based on the meteorological element values (such as wind speed value, temperature value, etc.) of the grid points in the neighborhood and the calculated distance weights, linear weighted summation is performed to obtain the interpolation result of the target grid point.

[0085] , formula (2)

[0086] In this way, local prediction of meteorological elements can be carried out based on geographical information data, effectively capturing the local heterogeneity characteristics of meteorological elements in space. While improving the spatial resolution of meteorological data, by comprehensively considering the distance relationship between grids, the spatial continuity of the first meteorological data is enhanced.

[0087] S203. Perform time interpolation processing on the meteorological observation data to obtain the second meteorological data.

[0088] Exemplarily, the above second meteorological data represents the meteorological data after time interpolation processing. The electronic device can perform spectral analysis on the meteorological observation data and perform inverse transformation processing according to the spectral analysis result to obtain the second meteorological data.

[0089] A possible implementation method is to perform spectral analysis on meteorological observation data to obtain the spectral analysis result; perform screening processing on the spectral analysis result to obtain the screened spectral analysis result; perform time-domain reconstruction on the screened spectral analysis result to obtain the fourth meteorological data; perform linear interpolation processing on the fourth meteorological data to obtain the second meteorological data. Among them, the above-mentioned fourth meteorological data represents the meteorological data after time-domain reconstruction.

[0090] Specifically, the electronic device can use a spectral analysis method (such as fast Fourier transform) to process the meteorological observation data, convert the time-domain data into frequency-domain data, and obtain the spectral analysis result. The spectral analysis result can indicate the periodic components in the meteorological observation data through frequency peaks, and these components usually correspond to different meteorological phenomena or periods. For example, seasonal changes, diurnal changes, and even rapid changes caused by specific weather systems, etc. Furthermore, a threshold for the frequency peak can be set to perform screening processing on the spectral analysis result to obtain the screened spectral analysis result; perform time-domain reconstruction on the screened spectral analysis result through inverse transformation processing to obtain the fourth meteorological data; perform linear interpolation processing on the fourth meteorological data to obtain the second meteorological data. It should be noted that the embodiments of the present application do not limit the processing method of linear interpolation.

[0091] Through the above method, the electronic device can extract the main periods and fluctuation characteristics of the meteorological observation data through spectral analysis, restore the main change trend through data reconstruction, and supplement missing values through linear interpolation, and finally obtain the second meteorological data with higher time resolution and more accurate meteorological element information.

[0092] S204. Obtain target meteorological data according to the first meteorological data and the second meteorological data.

[0093] Exemplarily, the above-mentioned first meteorological data and second meteorological data can be fused based on time and space, and then the time-series meteorological data of preset grid points in the study area can be obtained, that is, the target meteorological data, and the target meteorological data can have higher-precision time resolution and spatial resolution.

[0094] Optionally, the electronic device can compare the target meteorological data with the meteorological observation data, evaluate the error of the refined processing result, and adjust and optimize the data of each grid point according to factors such as spatial distance to ensure the reliability and accuracy of the refined processing result.

[0095] The evaluation method for the development potential of wind energy resources provided by the embodiments of the present application performs spatial interpolation processing on the geographic information data and reanalysis data in the research area to obtain the first meteorological data, and performs time interpolation processing on the meteorological observation data to obtain the second meteorological data. Furthermore, by fusing the first meteorological data and the second meteorological data, the target meteorological data with higher-precision spatio-temporal resolution is obtained, improving the accuracy and precision of the meteorological data in the research area and the accuracy of subsequent evaluation results.

[0096] Figure 3 It is a schematic flowchart of the evaluation method for the development potential of wind energy resources provided by the present application Figure 3 , such as Figure 3 shown. On the basis of the Figure 1 embodiment, the evaluation method for the development potential of wind energy resources is described in detail. The method includes:

[0097] S301. Obtain the target meteorological data, restricted use area, and power system accessible range in the research area.

[0098] In one example, obtain the power distribution data in the research area and the recommended distances of transmission lines of different levels; determine the power system accessible range according to the power distribution data and the recommended distances.

[0099] Exemplarily, the above-mentioned power distribution data may include, for example, the positions of substations or booster stations in the research area, the specifications of substations or booster stations, the transmission line routes, cable specifications, power load distributions, and other data. The recommended distances of the above-mentioned transmission lines represent the recommended distances considering the transmission losses of the transmission lines. It should be understood that for transmission lines of different voltage levels, resistance, reactance, and the local terrain, climate, etc. will cause losses to the transmission lines. The electronic device can pre-design a calculation model, and by inputting the geographic coordinates, the recommended distance corresponding to the geographic coordinates can be calculated. After the electronic device obtains the power distribution data and the recommended distances in the research area, for each grid point in the research area, if it is determined that the distance between the power device (substation or booster station) and the grid point is less than or equal to the recommended distance corresponding to the location of the power device, then the grid point belongs to the power system accessible range. For example, the power system accessible range can be expressed as shown in the following formula:

[0100] , formula (3)

[0101] where is the position of the jth power device, is the recommended distance corresponding to the location of the power device, represents the grid point coordinates and the distance between the jth power device.

[0102] S302. Obtain the developable wind energy resource area according to the target meteorological data.

[0103] Exemplarily, the above-mentioned developable wind energy resource area represents an area where the wind energy resource meets the preset conditions. Among them, the preset conditions can be, for example, a wind speed threshold, a wind power density, etc., which are not limited in the embodiments of the present application.

[0104] In one example, the electronic device can determine whether the wind power data in the target meteorological data of each grid point in the research area meets the preset conditions. If it meets, it is determined that the grid point belongs to the developable wind energy resource area. For example, the developable wind energy resource area can be expressed as .

[0105] S303. Obtain the developable land area according to the restricted land use area and the accessible range of the power system.

[0106] Exemplarily, the above-mentioned developable land area represents an area where the land meets the land use planning requirements and the power system distribution requirements. For example, the developable land area can be screened out according to the intersection of the complement of the restricted land use area and the accessible range of the power system.

[0107] In one example, according to the restricted land use area and the preset safety distance, determine the buffer area of the restricted land in the research area; according to the restricted land use area, the buffer area of the restricted land, and the accessible range of the power system, obtain the developable land area. Among them, the safety distance represents the distance between various types of restricted land and various types of restrictive buildings. For example, a safety distance of 1.5 times the tower collapse distance needs to be ensured from the highway.

[0108] Specifically, for each grid point in the research area, if it is determined that the shortest distance between the grid point and the boundary grid point of the restricted land use area is less than or equal to the safety distance corresponding to this type of restricted land use, then the grid point belongs to the buffer area of the restricted land use. The buffer area of the restricted land use can be expressed, for example, as shown in the following formula (4); furthermore, the set of grid points in the intersection of the complement of the union of the restricted land use area and the buffer area of the restricted land use within the research area and the accessible range of the power system can be used as the developable land area in the research area. The developable land area can be expressed, for example, as shown in the following formula (5).

[0109] , formula (4)

[0110] Among them, is the buffer area of the i-th type of restricted land use, is the coordinate of the boundary grid point of the restricted land use area, is the safety distance, Indicates the distance between a grid point and the boundary grid points of the restricted use area.

[0111] , formula (5)

[0112] Wherein, Indicates the developable use area, Indicates the restricted use area.

[0113] S304. Obtain the effective area according to the developable wind energy resource area and the developable use area.

[0114] Exemplarily, the electronic device may use the set of grid points in the intersection of the developable wind energy resource area and the developable use area as the effective area, for example, it can be expressed as shown in the following formula:

[0115] , formula (6)

[0116] Wherein, Indicates the effective area.

[0117] S305. Determine the developable capacity of the research area according to the effective area and the technical parameters of the preset wind turbine generator.

[0118] Exemplarily, the above-mentioned developable capacity represents the total installed capacity of wind turbine generators that can be installed and effectively utilized theoretically. The technical parameters of the above-mentioned wind turbine generators may include information such as rated power, power generation efficiency, cut-in wind speed, cut-out wind speed, hub height, blade length, etc.

[0119] In one example, the electronic device can use wake simulation software (such as WindFarmer, WAsP, etc.) to set simulation parameters, such as the model, spacing, terrain conditions, etc. of the wind turbine generators, and evaluate the wake influence situation. For example, through simulation calculations, the degree of wake influence on wind turbine generators at different positions can be obtained, including the reduction ratio of wind speed, power loss, etc. Furthermore, according to the technical parameters of the preset wind turbine generators, the effective area, and the degree of wake influence, the arrangement mode and spacing of wind turbine generators in the effective area can be determined. For example, a layout model can be preset, and by inputting the technical parameters of the wind turbine generators, the effective area, and the degree of wake influence, a layout plan can be output, and the layout plan includes the arrangement mode and spacing of wind turbine generators in the effective area. Finally, by calculating the rated power of each wind turbine generator and multiplying it by the number of wind turbine generators that can be arranged in the effective area, the developable capacity in the effective area can be obtained.

[0120] S306. Determine the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted use area, the power system access range, the effective area, and the developable capacity.

[0121] Exemplarily, the electronic device can preset calculation methods for multiple evaluation indicators, and then, based on target meteorological data, restricted land use areas, accessible ranges of the power system, effective areas, developable capacities, unit development costs, etc., obtain multiple evaluation indicators. According to the multiple evaluation indicators and preset weight coefficients, calculate the score of the research area, that is, the evaluation result. It should be noted that the influencing factors of the evaluation indicators include, but are not limited to, target meteorological data, restricted land use areas, accessible ranges of the power system, effective areas, developable capacities, unit development costs, etc., and can be specifically set according to actual needs. For example, Table 1 shows an example of evaluation indicators and data sources provided by an embodiment of the present application.

[0122] Table 1 Evaluation indicators and data sources

[0123]

[0124] The evaluation method for the development potential of wind energy resources provided by the embodiment of the present application combines target meteorological data to obtain an area where wind energy resources can be developed, and according to the restricted land use area and the accessible range of the power system, obtains an area where development can be carried out; further, based on the area where wind energy resources can be developed and the area where development can be carried out, obtains an effective area, and determines the developable capacity within the effective area. According to the target meteorological data, restricted land use area, accessible range of the power system, effective area, and developable capacity, determines the evaluation result of the development potential of wind energy resources in the research area. Through the above method, an effective area that meets the conditions for wind energy resource development in the research area can be automatically determined based on known data, and the evaluation indicators of the research area can be automatically determined, obtaining the evaluation result of the development potential of wind energy resources in the research area, without manual processing, improving the evaluation efficiency while reducing the dependence on manual experience and the calculation workload, and improving the accuracy of the evaluation result.

[0125] Figure 4 It is a schematic structural diagram of an evaluation device for the development potential of wind energy resources provided by the present application, as Figure 4 shown, the evaluation device 400 for the development potential of wind energy resources provided in this embodiment includes:

[0126] An acquisition module 401, configured to acquire target meteorological data, restricted land use areas, and accessible ranges of the power system within the research area; wherein, the target meteorological data represents meteorological data based on a time series of preset grid points within the research area;

[0127] A first determination module 402, configured to determine an effective area within the research area according to the target meteorological data, the restricted land use area, and the accessible range of the power system; wherein, the effective area represents an area where wind energy resources can be developed;

[0128] A second determination module 403, configured to determine an evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted use area, the accessible range of the power system, and the effective area.

[0129] In a possible implementation manner, the obtaining module 401 is specifically configured to:

[0130] Obtain geographical information data, reanalysis data, and meteorological observation data within the research area;

[0131] Based on the geographical information data, perform spatial interpolation processing on the reanalysis data to obtain first meteorological data; and perform temporal interpolation processing on the meteorological observation data to obtain second meteorological data;

[0132] Obtain the target meteorological data according to the first meteorological data and the second meteorological data.

[0133] In a possible implementation manner, the obtaining module 401 is specifically configured to:

[0134] Based on the geographical information data, perform geographically weighted regression analysis processing on the reanalysis data to obtain third meteorological data;

[0135] According to a preset spatial resolution, perform linear interpolation processing on the third meteorological data to obtain the first meteorological data.

[0136] In a possible implementation manner, the obtaining module 401 is specifically configured to:

[0137] Perform spectrum analysis on the meteorological observation data to obtain a spectrum analysis result;

[0138] Perform screening processing on the spectrum analysis result to obtain a screened spectrum analysis result;

[0139] Perform time-domain reconstruction on the screened spectrum analysis result to obtain fourth meteorological data;

[0140] Perform linear interpolation processing on the fourth meteorological data to obtain the second meteorological data.

[0141] In a possible implementation manner, the obtaining module 401 is specifically configured to:

[0142] Obtain power distribution data within the research area and a recommended distance of a transmission line;

[0143] Determine the accessible range of the power system according to the power distribution data and the recommended distance.

[0144] In a possible implementation manner, the first determination module 402 is specifically configured to:

[0145] Obtain the developable wind energy resource area according to the target meteorological data;

[0146] Obtain the developable land area according to the restricted land use area and the accessible range of the power system;

[0147] Obtain the effective area according to the developable wind energy resource area and the developable land area.

[0148] In a possible implementation manner, the first determination module 402 is specifically configured to:

[0149] Determine the buffer area of the restricted land in the research area according to the restricted land use area and a preset safety distance; wherein, the safety distance represents the distance between various types of restricted land and various types of restrictive buildings;

[0150] Obtain the developable land area according to the restricted land use area, the buffer area of the restricted land, and the accessible range of the power system.

[0151] In a possible implementation manner, the second determination module 403 is specifically configured to:

[0152] Determine the developable capacity of the research area according to the effective area and the technical parameters of the preset wind turbine generators;

[0153] Determine the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land use area, the accessible range of the power system, the effective area, and the developable capacity.

[0154] The evaluation device for wind energy resource development potential provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here in this embodiment.

[0155] Figure 5 It is a schematic structural diagram of the electronic device provided in this application. As Figure 5 shown, the electronic device 500 provided in this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 500 further includes a communication component 503. Among them, the processor 501, the memory 502, and the communication component 503 are connected through a bus 504.

[0156] In a specific implementation process, at least one processor 501 executes the computer execution instructions stored in the memory 502, so that at least one processor 501 executes the above method.

[0157] For the specific implementation process of the processor 501, reference may be made to the foregoing method embodiments. Their implementation principles and technical effects are similar, and will not be elaborated herein.

[0158] In the foregoing embodiments, it should be understood that the processor may be a central processing unit (CPU for short), or may also be other general-purpose processors, digital signal processors (DSP for short), application specific integrated circuits (ASIC for short), etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in combination with the invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

[0159] The memory may include a high-speed random access memory (RAM), and may also include a non-volatile memory (NVM), such as at least one disk memory.

[0160] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, the buses in the drawings of this application are not limited to only one bus or one type of bus.

[0161] This application also provides a computer program product, including a computer program, which implements the foregoing method when executed by a processor.

[0162] This application also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the foregoing method is implemented.

[0163] The above-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk. The readable storage medium may be any available medium accessible by a general-purpose or special-purpose computer.

[0164] An exemplary readable storage medium is coupled to the processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium may also exist as discrete components in a device.

[0165] The division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other may be indirect couplings or communication connections through some interfaces, devices, or units, and may be in electrical, mechanical, or other forms.

[0166] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0167] In addition, the functional units in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0168] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs and other various media that can store program codes.

[0169] 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 executes the steps including the above method embodiments; and the foregoing storage medium includes: ROM, RAM, magnetic disks, or optical discs and other various media that can store program codes.

[0170] Finally, it should be noted that: After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily think of other embodiments of the present invention. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. An evaluation method for the development potential of wind energy resources, characterized in that, Including: Obtaining target meteorological data, restricted land use areas, and the accessible range of the power system within the research area; wherein, the target meteorological data represents meteorological data based on time series at preset grid points within the research area; Determining the effective area within the research area according to the target meteorological data, the restricted land use area, and the accessible range of the power system; wherein, the effective area represents the area where wind energy resources can be developed; Determining the evaluation result of the wind energy resource development potential in the research area according to the target meteorological data, the restricted land use area, the accessible range of the power system, and the effective area.

2. The method according to claim 1, wherein The obtaining of the target meteorological data within the research area includes: Obtaining the geographical information data, reanalysis data, and meteorological observation data within the research area; Performing spatial interpolation processing on the reanalysis data based on the geographical information data to obtain first meteorological data; and performing time interpolation processing on the meteorological observation data to obtain second meteorological data; Obtaining the target meteorological data according to the first meteorological data and the second meteorological data.

3. The method according to claim 2, characterized in that, The performing of spatial interpolation processing on the reanalysis data based on the geographical information data to obtain first meteorological data includes: Performing geographically weighted regression analysis processing on the reanalysis data based on the geographical information data to obtain third meteorological data; Performing linear interpolation processing on the third meteorological data according to the preset spatial resolution to obtain the first meteorological data.

4. The method according to claim 2, wherein The performing of time interpolation processing on the meteorological observation data to obtain second meteorological data includes: Performing spectral analysis on the meteorological observation data to obtain a spectral analysis result; Performing screening processing on the spectral analysis result to obtain a screened spectral analysis result; Performing time domain reconstruction on the screened spectral analysis result to obtain fourth meteorological data; Performing linear interpolation processing on the fourth meteorological data to obtain the second meteorological data.

5. The method according to claim 1, wherein The obtaining of the accessible range of the power system within the research area includes: Obtaining the power distribution data and the recommended distance of the transmission line within the research area; Determining the accessible range of the power system according to the power distribution data and the recommended distance.

6. The method according to claim 1, characterized in that, The determining of the effective area within the research area according to the target meteorological data, the restricted land use area, and the accessible range of the power system includes: Obtaining the area where wind energy resources can be developed according to the target meteorological data; Obtaining the developable land use area according to the restricted land use area and the accessible range of the power system; Obtaining the effective area according to the area where wind energy resources can be developed and the developable land use area.

7. The method according to claim 6, wherein The obtaining of the developable land use area according to the restricted land use area and the accessible range of the power system includes: Determining the buffer area of the restricted land within the research area according to the restricted land use area and the preset safety distance; wherein, the safety distance represents the distance between various types of restricted land and various types of restrictive buildings; Based on the restricted land use area, the buffer area of the restricted land use, and the accessible range of the power system, a developable land use area is obtained.

8. The method according to any one of claims 1-7, characterized in that, Determining the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land use area, the accessible range of the power system, and the effective area includes: Determining the developable capacity of the research area according to the effective area and the technical parameters of the preset wind turbine generator; Determining the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land use area, the accessible range of the power system, the effective area, and the developable capacity.

9. An evaluation device for the development potential of wind energy resources, characterized in that, Including: An acquisition module, configured to acquire target meteorological data, a restricted land use area, and the accessible range of the power system in the research area; wherein, the target meteorological data represents the time-series-based meteorological data of preset grid points in the research area; A first determination module, configured to determine the effective area in the research area according to the target meteorological data, the restricted land use area, and the accessible range of the power system; wherein, the effective area represents the area where wind energy resources can be developed; A second determination module, configured to determine the evaluation result of the wind energy resource development potential of the research area according to the target meteorological data, the restricted land use area, the accessible range of the power system, and the effective area.

10. An electronic device, characterized in that, Including: A memory and a processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory, so that the processor executes the method according to any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, Computer execution instructions are stored in the computer-readable storage medium, and when the computer execution instructions are executed by the processor, they are used to implement the method according to any one of claims 1-8.

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