A method for arranging wind turbines in plain areas based on Web application system

Through the fan layout method based on the web application system, computer algorithms and GIS technology are used to automatically identify the optimal fan layout location, solving the problem of low efficiency of traditional methods, achieving efficient and flexible wind farm layout, and reducing costs.

CN118313301BActive Publication Date: 2024-12-31ENERGY CHINA YNPD
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Patent Information

Application Number
CN202410442998.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-12
Publication Date
2024-12-31
Estimated Expiration
2044-04-12

AI Technical Summary

Technical Problem

Traditional fan layout methods in plain areas rely on professional software and expert experience, making calculations and analysis time-consuming and inefficient, making it difficult to meet the data processing and solution optimization requirements of large-scale wind farms.

Method used

Using a method based on the web application system, the calculation and analysis of the fan layout process is integrated into a unified online platform, automatically collect and integrate wind energy resource data, simulate wind farm characteristics, and determine the optimal layout position by calculating the wind direction and fan parameters. Plum-shaped arrangement and cross-arrangement strategies to reduce wake impact.

Benefits of technology

It significantly improves the efficiency and quality of fan layout, reduces project costs, and provides flexibility and scalability to support the development of wind power technology.

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Abstract

The present invention relates to a method for arranging wind turbines in plain areas based on a Web application system, comprising the following steps: (1) determining the dominant wind direction; (2) setting parameters; (3) determining the position of the first wind turbine; (4) arranging the wind turbines in a plum blossom shape; and (5) completing the arrangement of wind turbines in the entire area. The present invention utilizes computer algorithms and GIS technology to process and analyze a large amount of terrain data, and quickly identify areas with high wind speeds and stable wind flows, thereby determining the best arrangement position for the wind turbines, and significantly improving the efficiency and quality of the wind turbine arrangement.
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Description

Technical Field

[0001] The present invention relates to the technical field of new energy wind power generation, and in particular to a method for arranging wind turbines in plain areas based on a Web application system. Background Art

[0002] As the global demand for renewable energy continues to grow, the development and utilization of wind energy as a clean and sustainable form of energy has received widespread attention. In particular, plain areas have become an important area for wind energy development due to the relatively flat terrain and relatively low construction and maintenance costs of wind farms. However, the layout of wind turbines in wind farms in plain areas is a complex engineering problem, involving wind energy resource assessment, land use planning, environmental impact assessment, economic benefit analysis and other aspects. Traditional wind turbine layout methods rely on professional software tools and expert experience, which often require a lot of repeated calculations and analysis, are time-consuming and inefficient. In addition, with the development of wind power technology and the expansion of wind farm scale, traditional wind turbine layout methods are becoming increasingly insufficient in terms of data processing capabilities, solution optimization and decision support.

[0003] The present invention proposes a method for arranging wind turbines in plain areas based on a Web application system. The method utilizes Web technology to integrate various calculation, analysis and optimization tasks in the process of wind turbine arrangement into a unified online platform. The Web application system can automatically collect and integrate wind energy resource data, terrain data, land use information, etc. from different sources, and timely simulate wind field characteristics in plain areas, including wind speed distribution, wind direction changes, etc., to provide a scientific basis for wind turbine arrangement, which can significantly improve the efficiency and quality of wind turbine arrangement and reduce project costs. In addition, the flexibility and scalability of the method also provide strong support for the development and application of future wind power technology. Summary of the invention

[0004] In view of the above problems, the present invention provides a method for arranging wind turbines in plain areas based on a Web application system.

[0005] The specific technical solution is: a method for arranging wind turbines in plain areas based on a Web application system, comprising the following steps:

[0006] (1) Determine the prevailing wind direction: Analyze historical wind speed and direction data through the meteorological database accessed by the Web application system, generate wind direction rose diagrams and wind power density rose diagrams, identify the prevailing wind direction and annual average wind speed, and determine the prevailing wind direction;

[0007] (2) Parameter setting: Input the fan model parameters into the system and set the row and column spacing of the fan arrangement;

[0008] (3) Determine the position of the first wind turbine: Calculate its normal vector (y = kx + b) using the wind direction, and then calculate the tangent point between the normal vector and the target area based on the wind direction normal vector to obtain the spatial coordinates (X, Y, Z) of the tangent point. The coordinate position of the tangent point is the real-time position of the first wind turbine.

[0009] (4) Plum blossom arrangement: According to the position of the tangent point, regular translation is performed in the target area. The translation method is to calculate the xy increase or decrease of the next point according to the column spacing on the normal vector (y=kx+b) to obtain the actual coordinates (calculated according to the selected arrangement method, such as row spacing 6D and column spacing 3D, to calculate the actual difference between X and Y), which is the geographical location of the next wind turbine. When all points on the normal vector in the target area are arranged, the first row of wind turbines is completed; then the second row of wind turbines is arranged. The second row of wind turbines is affected by the wake of the previous row of wind turbines, so a cross arrangement is adopted. The intersection point of the radius along the wind direction with the grid (6x3) is obtained. The intersection point is the point of the next column of cross arrangement, and so on. Finally, the duplicate points are deleted to reduce the influence of wake. The distance between the second row position and the normal vector is the column spacing × D × N, where N is the number of columns and D is the diameter of the fan impeller.

[0010] (5) Complete the layout of wind turbines in the entire area: Calculate the coordinate information of all wind turbines in the area according to the method in step (4), and arrange the wind turbines based on this coordinate information.

[0011] Furthermore, the input fan model parameters include the rated power, impeller diameter, cut-in wind speed, and cut-out wind speed of the fan.

[0012] Beneficial effects of the present invention:

[0013] (1) The present invention provides a method for arranging wind turbines in plain areas based on a Web application system, which utilizes computer algorithms and GIS technology to quickly identify areas with high wind speeds and stable wind flows, determine the best layout locations for wind turbines, maximize the use of terrain and wind resources, and improve wind power generation efficiency.

[0014] (2) The present invention utilizes an automatic algorithm to quickly generate a recommended plan for fan layout, taking into account the optimal spacing and direction between fans, reducing mutual occlusion and influence between fans, and improving the overall performance of the fan combination.

[0015] (3) The Web application system used in the present invention has the advantages of flexibility and visualization. Users can set parameters and optimize and adjust them as needed, and flexibly generate different fan layout plans. At the same time, the system usually provides a visual display function, so that users can intuitively understand the layout results and conduct feasibility assessments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of the present invention;

[0017] Figure 2 It is the parameter setting interface and wind direction frequency rose diagram of the embodiment;

[0018] Figure 3 This is a plum blossom type fan layout diagram of an embodiment; DETAILED DESCRIPTION

[0019] In order to make the technical problems and technical solutions solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] In this embodiment, a piece of plain land is selected, and wind turbines are arranged according to a method for arranging wind turbines in plain areas based on a Web application system provided by the present invention. The specific arrangement is as follows:

[0021] (1) Determine the dominant wind direction: Use the Web application system to identify areas with high wind speed and stable wind flow. This area is the site coverage of wind resources (e.g. Figure 3 As shown in Figure 1, the meteorological database accessed by the Web application system analyzes historical wind speed and direction data, generates wind direction rose diagrams and wind power density rose diagrams, identifies the prevailing wind direction and annual average wind speed, and determines the dominant wind direction. Figure 2 It can be seen from the wind direction frequency rose diagram that the wind energy is maximum at 225°, so this direction is determined as the dominant wind direction.

[0022] (2) Parameter setting: Input the fan model parameters into the system, including the fan's rated power, impeller diameter, cut-in wind speed, cut-out wind speed, and set the row and column spacing of the fan arrangement. Figure 2 It can be seen from the parameter setting interface that the selected fan model is WT6250D195, the fan impeller diameter D is 195m, the row spacing between units is 6D, and the column spacing is 3D.

[0023] (3) Determine the position of the first wind turbine: Calculate its normal vector (y = kx + b) using the wind direction, and then calculate the tangent point between the normal vector and the target area based on the wind direction normal vector, and obtain the spatial coordinates of the tangent point F1 (102.8146°, 23.9002°, 1491m). The coordinate position of the tangent point is the real-time position of the first wind turbine, as shown in the following figure: Figure 3 As shown in the figure, the polygonal wireframe is the site scope covered by wind resources; the arrow line is the dominant wind direction line within the site scope; the straight line is the normal vector of the dominant wind direction, which is perpendicular to the wind direction; the first tangent point between the normal vector and the site scope is the position of the first wind turbine. If there are multiple tangent points, a multi-point arrangement is adopted.

[0024] (4) Plum blossom arrangement: Plum blossom arrangement is adopted and the arrangement method of two rows and one row is followed. According to the position of the tangent point, regular translation is performed in the target area. The translation method is to calculate the xy increase or decrease of the next point according to the distance between the row spacing on the normal vector (y=kx+b) to obtain the actual coordinate F2 (102.8166°, 23.9133°, 1491m), which is the geographical location of the next wind turbine. The arrangement is completed until the point (F2) on the normal vector in the target area is fully arranged. The first row of wind turbines is then arranged. The second row of wind turbines is affected by the wake of the previous row of wind turbines, so a cross arrangement is adopted to reduce the influence of the wake. The distance between the second row position and the normal vector is 6D×2, where 2 is the number of columns and D is the diameter of the wind turbine impeller. The second row of wind turbines (F3 to F9) is completed. The arrangement rules of the points in the first and second rows are in the shape of a plum blossom, as shown in Figure 3 shown.

[0025] (5) Complete the layout of wind turbines in the entire area: Calculate the coordinate information of all wind turbines in the area according to the method in step (4), such as F10 (102.8166°, 23.9430°, 1491m) in the third row and F13 (102.8594°, 23.9486°, 1491m) in the fourth row, and arrange the wind turbines according to these coordinate information. The layout is as follows: Figure 3 shown.

[0026] The present invention is described in detail above through specific and preferred embodiments, but those skilled in the art should understand that the present invention is not limited to the embodiments described above, and any modifications, equivalent substitutions, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for arranging wind turbines in plain areas based on a Web application system, characterized in that: The steps include: (1) Determine the prevailing wind direction: Analyze the historical wind speed and wind direction data through the meteorological database accessed by the Web application system, generate wind direction rose diagrams and wind power density rose diagrams, identify the prevailing wind direction and annual average wind speed, and determine the prevailing wind direction; (2) Parameter setting: Input the fan model parameters into the system and set the row and column spacing of the fan arrangement; (3) Determine the position of the first wind turbine: use the dominant wind direction to calculate its normal vector, and then calculate the tangent point between the normal vector and the target area based on the wind direction normal vector to obtain the spatial coordinates (X, Y, Z) of the tangent point. The coordinate position of the tangent point is the real-time position of the first wind turbine. (4) Plum blossom arrangement: Regular translation is performed in the target area according to the position of the tangent point. The translation method is to calculate the xy increase or decrease of the next point according to the distance between the column spacing on the normal vector to obtain the actual coordinates, which is the geographical location of the next wind turbine. The arrangement is completed until the points on the normal vector in the target area are fully arranged. The arrangement of the first row of wind turbines is completed. The second row of wind turbines is then arranged. The second row of wind turbines is affected by the wake of the previous row of wind turbines. A cross arrangement is used to reduce the influence of the wake. The distance between the second row position and the normal vector is row spacing × D × N, where N is the number of columns and D is the diameter of the wind turbine impeller. (5) Complete the layout of wind turbines in the entire area: Calculate the coordinate information of all wind turbines in the area according to the method in step (4), and arrange the wind turbines based on this coordinate information.

2. According to the method for arranging wind turbines in plain areas based on a Web application system according to claim 1, it is characterized in that: The input fan model parameters include the fan's rated power, impeller diameter, cut-in wind speed, and cut-out wind speed.