A site selection method for a swing-type power generation windmill and a swing-type power generation windmill

Abstract

A site selection method for an oscillating wind turbine and an oscillating wind turbine, the site selection method comprising the following steps: Step S1, obtaining a wind speed distribution map and a wind direction frequency fluctuation distribution map of a selected area; simultaneously, obtaining a distribution map of wind direction frequency fluctuations; Step S2, deriving the wind speed distribution map and the wind direction frequency fluctuation distribution map of the selected area; Step S3, delineating an area unsuitable for arranging an oscillating wind turbine; Step S4, establishing a functional relationship between wind speed and wind direction frequency fluctuations and wind turbine density; Step S5, picking up coordinate data of wind speed and wind direction frequency fluctuations at sampling points; Step S6, performing a wind turbine density distribution simulation; Step S7, generating a wind turbine distribution simulation map. The above-mentioned oscillating wind turbine site selection method can effectively help designers screen wind power generation areas, thereby remedying the problem of the lack of oscillating wind turbine location layout methods in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of wind-driven vibration generators, and mainly relates to a site selection method for a swing-type power-generating windmill and the swing-type power-generating windmill. Background Art

[0002] A swing-type wind turbine is a device that uses wind-driven vibration to generate electricity. Micro-swing wind turbine units have the following advantages: 1. They can efficiently utilize low-speed wind; 2. They can generate electricity even when wind direction changes, making them adaptable to highly complex environments; 3. The generator can be placed on the ground, making it easy to construct and maintain; 4. Their small size minimizes impact on the environment; and 4. They do not require a high-rise tower, resulting in a compact design with a high degree of assembly. For example, patent application publication number KR1020180106569A discloses a swing-type wind turbine. Specifically, the generator features a lightweight upper swinging portion that, when affected by wind, transmits the swinging force downward through a vibrating column. The lower portion of the vibrating column comprises multiple vibrating magnet plates composed of permanent magnets and a winding body with multiple layers of coils wound in various configurations. As the vibrating column vibrates in response to wind, the permanent magnets on the vibrating magnet plates generate a continuous horizontal reciprocating oscillation in all directions, front to back, left to right, and vice versa. This induces continuous magnetic field variations in the coils wound on the coil fixing plate, generating electricity.

[0003] For example, the National Alpine Skiing Center is located at the southern foot of Xiaohaituo Mountain, north of the core area of ​​the Yanqing competition zone. This area boasts abundant wind resources, fragile vegetation, and a limited number of tree species. Analysis of the hourly variations in the average winter wind speed at the A1489 weather station on Haituo Mountain reveals that winter wind speed fluctuations are relatively narrow, with a daily average of 2.99 m / s and consistent wind speed throughout the day. This suggests that compact, highly sensitive swinging windmills are ideally suited to these low-wind conditions, fully utilizing Haituo Mountain's wind resources while enriching the vegetation landscape through their gentle, biomimetic form.

[0004] However, because oscillating wind turbines generate electricity differently than traditional fan-type wind turbines, the macro-site selection method for their wind farms is completely different from that of existing fan-type wind turbines. Therefore, how to identify wind power generation areas based on factors such as topography and ecological environment, and then locate locations with optimal wind resources for oscillating wind turbines, is a technical challenge that technicians in this field urgently need to solve. Summary of the Invention

[0005] Therefore, the present invention aims to provide a site selection method for a swing-type wind turbine and a swing-type wind turbine, thereby helping designers to screen wind power generation areas based on factors such as topography, ecological environment, etc., to identify locations with better wind resources within the area, and then arrange the swing-type wind turbines, thereby remedying the problem of the lack of a location layout method for swing-type wind turbines in the prior art. The present application provides a site selection method for a swing-type wind turbine, comprising the following steps:

[0006] Step S1, obtain the wind speed distribution map and wind direction frequency floating distribution map of the selected area:

[0007] Measure and obtain the spatial continuous wind speed distribution map at different time points in the selected area;

[0008] At the same time, the distribution diagram of the wind direction frequency fluctuation is obtained:

[0009] The wind direction is divided into multiple intervals; the occurrence frequency of the wind direction in each interval is counted in the original wind direction data of each weather station;

[0010] The fluctuation of the frequency of each wind direction interval at each weather station is determined by the parameter s F Determination, s F The frequency of wind direction fluctuation is calculated using the following formula:

[0011]

[0012] Where:

[0013] s F The frequency fluctuation of wind direction;

[0014] Fi is the frequency of wind direction in each interval. When a certain wind direction has no frequency, Fi is recorded as 0. i is the wind direction interval number, and i takes values ​​of 1, 2, 3, ..., n.

[0015] is the average frequency of wind direction occurrence at each weather station;

[0016] Step S2, exporting a wind speed distribution map and a wind direction frequency fluctuation distribution map for the selected area: for a unit grid with a fixed coordinate interval radius within the selected area, outputting the cumulative average wind speed data and wind direction frequency fluctuation distribution data for summer and winter months, including the sampling point coordinates and the cumulative monthly average wind speed and wind direction frequency fluctuation distribution data;

[0017] Step S3: Based on the distribution map in step S2, areas unsuitable for arranging oscillating wind turbines are identified: areas unsuitable for wind turbine construction are identified within the plane wind speed selection zone, including: building perimeters, ecological protection zones, ski tracks, and cableway tracks; and plane curved areas within the scope of wind turbine construction sites are selected;

[0018] Step S4: Establish a functional relationship between the fluctuation of wind speed and wind direction and windmill density:

[0019] Establish the average wind speed b and wind direction frequency fluctuation s for the selected month F , and the functional relationship between the two and the windmill location density value Y (units / hundred square meters) within the radius of the unit sampling point:

[0020]

[0021] Where:

[0022] b is the average wind speed;

[0023] s F The wind direction frequency fluctuation recorded in step S1;

[0024] Y is the windmill location density within the unit sampling point radius;

[0025] Step S5, picking up the coordinate data of the wind speed and wind direction frequency fluctuation of the sampling point:

[0026] The coordinate data file of the wind speed and wind direction frequency fluctuation of the sampling point is picked up, and the point object within the selection range is established. The (X, Y) coordinates of the entity point correspond to the actual coordinate point, and a unified coordinate system is used;

[0027] Step S6, performing windmill density distribution simulation: for each entity point in step S5, a unit grid range with a fixed coordinate interval radius is established, and random point distribution is performed. The number of distribution points is the Y value of each sampling point, and the windmill density simulation is associated with the sampling of the continuous wind speed and wind direction frequency fluctuation.

[0028] Step S7, generating a windmill distribution simulation map: placing the random points simulated in step S6 within the selected area to form a distribution map on the general plan of the selected area with a density of dots based on the fluctuation of the frequency of wind speed and wind direction; picking up the (X, Y) coordinates of the points according to the distribution map, which is the location of the windmills in the area.

[0029] Optionally, in step S1, using ArcGIS Pro software, an interpolation tool is used to obtain a spatially continuous wind speed distribution map at different time points in the selected area; and / or,

[0030] In step S1, the wind direction is divided into 12 intervals, wherein each 30° range is a wind direction interval;

[0031]

[0032] Among them, s of each weather station F The smaller it is, the smaller the fluctuation of the frequency of wind direction. Since wind occurs in all wind direction intervals and the wind is not dominated by a single wind direction, that is, there are many wind direction intervals and the frequency of each interval does not fluctuate much, which is conducive to the power generation of the swing-type wind turbine.

[0033] Using ArcGIS Pro software and the interpolation tool, we obtained the distribution map of the spatial wind direction frequency fluctuation at different time points in the selected area based on the wind direction frequency fluctuation data of all meteorological stations.

[0034] Optionally, in step S2, the distribution data of the average wind speed data and the fluctuation frequency of wind direction in typical summer and winter months for unit grids with a fixed coordinate interval radius within the selected area are output in ArcGIS Pro software, including the sampling point coordinates and the distribution data of the fluctuation frequency of the average wind speed and wind direction in typical months, and exported in Excel file format.

[0035] Optionally, in step S3, the three-dimensional modeling and analysis software Rhino is used to identify areas unsuitable for windmill construction within the plane wind speed selection zone, including building perimeters, ecological protection zones, ski tracks, and cableway tracks; and the Rhino built-in plug-in Grasshopper is used to pick the plane curve area within the final windmill construction site range.

[0036] Optionally, in step S4, the relationship between the wind turbine location density value Y within the unit sampling point radius and the power generation wind turbine layout density is as follows:

[0037] When the Y value is 0<Y≤0.21, the density of wind turbines is 2 per 100 square meters;

[0038] When the Y value is 0.21<Y≤0.5, the density of wind turbines is 5 per 100 square meters;

[0039] When the Y value is 0.5<Y≤0.79, the density of wind turbines is 10 per 100 square meters;

[0040] When the Y value is 0.79<Y, the layout density of wind turbines is 15 per 100 square meters.

[0041] Optionally, in step S5, the built-in parametric plug-in Grasshopper of Rhino is used to pick up the coordinate data file of the floating frequency of wind speed and wind direction at the sampling point, and a point object within the selection range is established. The (X, Y) coordinates of the entity point correspond to the actual coordinate point, and a unified coordinate system is used.

[0042] Optionally, in step S6, the built-in parametric plug-in Grasshopper of Rhino is used to establish a unit grid range with a fixed coordinate interval radius for each entity point, and the Grasshopper plug-in populat2D command is used to perform random point distribution. The number of distribution points is the Y value of each sampling point, and an association is established between the windmill density simulation and the continuous sampling of the floating frequency of wind speed and wind direction.

[0043] Optionally, the Bake command in Grasshopper is used to place simulated random points within the selected area, forming a distribution map on the general plan of the selected area with the density of the dot matrix representing the fluctuation frequency of wind speed and wind direction; the (X, Y) coordinates of the points are picked according to the distribution map, which is the location of the windmill in the area.

[0044] A swing-type power generation windmill and a site selection method for the swing-type power generation windmill, comprising:

[0045] A wind catcher comprises: at least two fan-shaped blades connected in cooperation; the wind catcher has an expanded state in which it is driven to open, and a folded state in which it is driven to close;

[0046] A vibrating column, wherein the wind catcher is provided at the upper end of the vibrating column. The vibrating column oscillates and swings under the drive of the wind, converting wind energy into kinetic energy, which is then transmitted to the rotor through a mechanical transmission device, and then converted into electrical energy by the generator;

[0047] A wind speed sensor is used to monitor the wind speed at the position of the wind catcher and communicate with the wind catcher through a controller to control the wind catcher to switch between the folded state and the unfolded state; when the wind speed sensor detects that the wind speed is within the working range of the wind catcher, the wind catcher switches to the unfolded state to form a large-area fan to capture wind energy; when the wind speed sensor detects that the wind speed is less than or greater than the working range of the wind catcher, the wind catcher switches to the folded state.

[0048] Optionally, the fan-shaped blades are hollow bladder structures of a membrane structure, and the fan-shaped blades are connected to an inflation mechanism;

[0049] The outer contour edge of the fan-shaped blade is also provided with a skeleton for maintaining the fan-shaped blade in the stored shape; when the fan-shaped blade is inflated, the air pressure overcomes the elastic force of the skeleton to switch the fan-shaped blade to the expanded state.

[0050] Optionally, the frames at the edges of the adjacent fan-shaped blades are connected by hinges, so that the wind catcher forms a rod-shaped structure in the folded state to reduce wind resistance; and / or,

[0051] The connecting section between the wind catcher and the vibration column has a contraction section with a diameter smaller than that of the vibration column, so as to enhance the swing amplitude of the wind catcher.

[0052] The technical solution of the present invention has the following advantages:

[0053] 1. The site selection method for an oscillating power generation wind turbine provided by the present invention comprises the following steps: step S1, obtaining a wind speed distribution map and a wind direction frequency fluctuation distribution map of a selected area; at the same time, obtaining a distribution map of the wind direction frequency fluctuation situation; step S2, deriving the wind speed distribution map and the wind direction frequency fluctuation distribution map of the selected area; step S3, delineating an area that is not suitable for arranging an oscillating power generation wind turbine; step S4, establishing a functional relationship between the wind speed and wind direction frequency fluctuation situation and the wind turbine density; step S5, picking up the coordinate data of the wind speed and wind direction frequency fluctuation situation of the sampling point; step S6, performing a wind turbine density distribution simulation, and establishing an association between the wind turbine density simulation and the continuous wind speed and wind direction frequency fluctuation situation sampling; step S7, generating a wind turbine distribution simulation map.

[0054] The present invention utilizes a site selection method specifically designed for oscillating wind turbines. This method effectively helps designers identify wind power generation areas based on topography, ecological environment, and other factors, identifying locations with optimal wind resources and subsequently deploying oscillating wind turbines. This addresses the lack of oscillating wind turbine location layout methods in existing technologies. These oscillating wind turbines are effectively adapted to low-wind speed environments with narrow winter wind speed fluctuations, such as those found in Haituo Mountain. Furthermore, these oscillating wind turbines can be combined with forest species to enrich the vegetation landscape.

[0055] Furthermore, the present invention also specifically discloses: a parameter s for measuring the fluctuation of the frequency of each wind direction interval at each weather station F The judgment formula is: and the wind speed average value b, wind direction frequency fluctuation s F , and the windmill location density value Y within the unit sampling point radius. The above relationship can be used to scientifically simulate the windmill density distribution and generate a windmill distribution simulation map.

[0056] 2. In the site selection method for a swing-type power generation wind turbine provided by the present invention, in step S1, the wind direction is divided into 12 intervals; wherein each 30° range is a wind direction interval;

[0057]

[0058] Among them, s of each weather station F The smaller it is, the smaller the fluctuation of the frequency of wind direction. Since wind occurs in all wind direction intervals and the wind is not dominated by a single wind direction, that is, there are many wind direction intervals and the frequency of each interval does not fluctuate much, which is conducive to the power generation of the swing-type wind turbine.

[0059] Using ArcGIS Pro software and the interpolation tool, we obtained the distribution map of the spatial wind direction frequency fluctuation at different time points in the selected area based on the wind direction frequency fluctuation data of all meteorological stations.

[0060] The present invention also specifically discloses that in step S1, the wind direction is divided into 12 intervals, wherein each 30° range is a wind direction interval. The above interval division can accurately measure the frequency of wind direction occurrence, which is measured by various weather stations.

[0061] s for each weather station F The smaller it is, the smaller the fluctuation of the frequency of wind direction is, which means that wind occurs in all wind direction intervals and the wind is not dominated by a single wind direction. That is, there are many wind direction intervals and the frequency of each interval does not fluctuate much, which is conducive to the power generation of the swinging wind turbine.

[0062] 3. The site selection method for an oscillating power generation wind turbine provided by the present invention, in step S2, outputs the distribution data of the average wind speed data and the frequency fluctuation of wind direction in typical summer and winter months for unit grids with a fixed coordinate interval radius within the selected area in ArcGIS Pro software, including the sampling point coordinates and the distribution data of the frequency fluctuation of the average wind speed and wind direction in typical months, and exports them in Excel file format.

[0063] In this paper, ArcGIS Pro software is used to divide a selected area into unit grids with fixed interval radiuses. The data of the average wind speed and wind direction frequency for typical months are sampled and output to form a digitized Excel file. This method can effectively help operators digitize the samples and refine the sampling point coordinate data.

[0064] 4. In the site selection method for swing-type wind turbines provided by the present invention, in step S4, the relationship between the wind turbine site selection density value Y within the unit sampling point radius and the wind turbine layout density is as follows:

[0065] When the Y value is 0<Y≤0.21, the density of wind turbines is 2 per 100 square meters;

[0066] When the Y value is 0.21<Y≤0.5, the density of wind turbines is 5 per 100 square meters;

[0067] When the Y value is 0.5<Y≤0.79, the density of wind turbines is 10 per 100 square meters;

[0068] When the Y value is 0.79<Y, the layout density of wind turbines is 15 per 100 square meters.

[0069] The present invention specifically discloses the specific values ​​of wind turbine placement density within a unit sampling point radius when the wind turbine placement density value Y varies within different parameter ranges. This number of wind turbines effectively ensures the economic efficiency and power generation efficiency of the wind turbines.

[0070] 5. The site selection method for an oscillating power generation wind turbine provided by the present invention, in step S6, uses the built-in parametric plug-in Grasshopper in Rhino to establish a unit grid range with a fixed coordinate interval radius for each entity point, and uses the Grasshopper plug-in populat2D command to perform random point distribution. The number of distributed points is the Y value of each sampling point, and an association is established between the wind turbine density simulation and the continuous sampling of the floating frequency of wind speed and wind direction.

[0071] In this paper, using Grasshopper, a parametric plug-in built into Rhino, a unit grid with a fixed coordinate interval radius is established for each entity point, and random point distribution is performed to associate windmill density simulation with continuous sampling of wind speed and direction frequency fluctuations. The sampling information is then digitized.

[0072] 6. The swing-type power generation windmill provided by the present invention comprises:

[0073] A wind catcher comprises: at least two fan-shaped blades connected in cooperation; the wind catcher has an expanded state in which it is driven to open, and a folded state in which it is driven to close;

[0074] A vibrating column, wherein the wind catcher is provided at the upper end of the vibrating column. The vibrating column oscillates and swings under the drive of the wind, converting wind energy into kinetic energy, which is then transmitted to the rotor through a mechanical transmission device, and then converted into electrical energy by the generator;

[0075] A wind speed sensor is used to monitor the wind speed at the position of the wind catcher and is communicated with the wind catcher through a controller to control the wind catcher to switch between the folded state and the unfolded state; when the wind speed sensor detects that the wind speed is within the working range of the wind catcher, the wind catcher switches to the unfolded state to form a large-area fan to capture wind energy; when the wind speed sensor detects that the wind speed is less than or greater than the working range of the wind catcher, the wind catcher switches to the folded state.

[0076] In this invention, the oscillating wind turbine features a wind-catcher that can be actively deployed and folded. When a wind speed sensor detects wind speeds within a suitable range, the fan-shaped blades of the wind-catcher unfold, allowing the oscillating wind turbine to effectively capture wind energy. This makes it suitable for areas with weak wind resources, enabling low-speed wind energy capture and expanding the scope of wind energy utilization.

[0077] 7. The swinging power generation windmill provided by the present invention has fan-shaped blades that are hollow bladder structures of a membrane structure, and the fan-shaped blades are connected to an inflation mechanism; the outer contour edge of the fan-shaped blades is also provided with a skeleton for maintaining the fan-shaped blades in a stored shape; when the fan-shaped blades are inflated, the air pressure overcomes the elastic force of the skeleton to switch the fan-shaped blades to the expanded state.

[0078] In the present invention, the fan-shaped blades are constructed as membrane blades with hollow airbag structures, and a frame is provided at the outer edges of the fan-shaped blades. This allows the inflation mechanism to inflate the airbags in the fan-shaped blades, causing them to rapidly expand, overcoming the elastic force of the frame to form a connection surface with the wind. Furthermore, when the fan-shaped blades are deflated, the elastic driving force of the frame allows the wind catcher to automatically fold.

[0079] 8. In the swing-type power generation windmill provided by the present invention, the frames at the edge positions of the adjacent fan-shaped blades are connected by hinges, so that the wind catcher forms a rod-shaped structure in the folded state to reduce wind resistance.

[0080] In the present invention, the two blades of the hinge are mutually attractive magnetic or elastic members. When the fan-shaped blades are inflated, the adjacent fan-shaped blades overcome the driving force of the hinge's folding, allowing the adjacent fan-shaped blades to unfold. When the fan-shaped blades are deflated, the magnetic or elastic force of the hinge drives the hinge closed, folding the wind catcher and reducing wind resistance. This structure offers the advantages of simplicity and reliability.

[0081] 9. In the swing-type power generation windmill provided by the present invention, the connecting section between the wind-catcher and the vibration column has a contraction section with a diameter smaller than that of the vibration column, so as to enhance the swing amplitude of the wind-catcher.

[0082] In the present invention, by providing a contraction section with a smaller diameter at the connection section between the wind catcher and the vibration column, the wind catcher can swing with a larger amplitude, thereby transmitting a larger swing amplitude to the vibration column and providing a power generation effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0084] Figure 1 A schematic diagram of the three-dimensional structure of the swing-type power generation windmill provided by the present invention;

[0085] Figure 2 A front view of the swing-type power generation windmill provided by the present invention;

[0086] Figure 3 This is an enlarged schematic diagram of the wind catcher structure provided by the present invention.

[0087] Description of reference numerals:

[0088] 1-wind catcher; 2-fan-shaped blades; 3-vibrating column; 4-hinge; 5-contraction section. DETAILED DESCRIPTION

[0089] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0090] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0091] Example 1

[0092] See Figure 1 , Figure 1 A schematic diagram of the three-dimensional structure of a swing-type power generation wind turbine in an embodiment of the present invention is shown.

[0093] This embodiment provides a site selection method for a swing-type power generation wind turbine, comprising the following steps:

[0094] Step S1, obtain the wind speed distribution map and wind direction frequency floating distribution map of the selected area:

[0095] Using ArcGIS Pro software, the interpolation tool was used to obtain the spatially continuous wind speed distribution map at different time points in the selected area;

[0096] At the same time, the distribution diagram of the wind direction frequency fluctuation is obtained:

[0097] The wind direction is divided into 12 intervals; each 30° range is considered as a wind direction interval; the frequency of wind direction in each interval is counted in the original wind direction data of each meteorological station;

[0098] The fluctuation of the frequency of each wind direction interval at each weather station is determined by the parameter s F Determination, s F The frequency of wind direction fluctuation is calculated using the following formula:

[0099]

[0100] Where:

[0101] s F The frequency fluctuation of wind direction; s of each weather station F , represents the fluctuation size of the frequency of wind direction;

[0102] Fi is the frequency of wind direction in each interval. When a certain wind direction has no frequency, Fi is recorded as 0. i is the wind direction interval number, and i takes values ​​of 1, 2, 3, ..., 12.

[0103] is the average frequency of wind direction occurrence at each weather station;

[0104] In this embodiment, ArcGIS Pro software is used to apply an interpolation tool to the wind direction frequency fluctuation data of all weather stations to obtain a distribution map of the spatial wind direction frequency fluctuation at different time points in the selected area.

[0105] Step S2, exporting a wind speed distribution map and a wind direction frequency fluctuation distribution map for the selected area: in ArcGIS Pro software, for a unit grid with a fixed coordinate interval radius within the selected area, output the cumulative average wind speed data and the wind direction frequency fluctuation distribution data for the summer and winter months, including the sampling point coordinates and the cumulative monthly average wind speed and wind direction frequency fluctuation distribution data, and exporting them in Excel file format;

[0106] Step S3: Based on the distribution map in step S2, the 3D modeling and analysis software Rhino is used to identify areas within the plane wind speed selection zone that are not suitable for windmill construction, including building perimeters, ecological protection areas, ski tracks, and cableway tracks. Furthermore, the Rhino built-in plug-in Grasshopper is used to pick the plane curve area within the final windmill construction site range.

[0107] Step S4: Establish a functional relationship between the fluctuation of wind speed and wind direction and windmill density:

[0108] Establish the average wind speed b and wind direction frequency fluctuation s for the selected month F, and the functional relationship between the two and the windmill location density value Y (units / hundred square meters) within the radius of the unit sampling point:

[0109]

[0110] Where:

[0111] b is the average wind speed;

[0112] s F The wind direction frequency fluctuation recorded in step S1;

[0113] Y is the windmill location density within the radius of the unit sampling point.

[0114] The relationship between the wind turbine location density value Y within the unit sampling point radius and the wind turbine layout density is as follows:

[0115] When the Y value is 0<Y≤0.21, the density of wind turbines is 2 per 100 square meters;

[0116] When the Y value is 0.21<Y≤0.5, the density of wind turbines is 5 per 100 square meters;

[0117] When the Y value is 0.5<Y≤0.79, the density of wind turbines is 10 per 100 square meters;

[0118] When the Y value is 0.79<Y, the layout density of wind turbines is 15 per 100 square meters.

[0119] Step S5, picking up the coordinate data of the wind speed and wind direction frequency fluctuation of the sampling point:

[0120] The built-in parametric plug-in Grasshopper of Rhino is used to pick up the coordinate data file of the frequency fluctuation of wind speed and wind direction at the sampling point, and create point objects within the selection range. The (X, Y) coordinates of the entity points correspond to the actual coordinate points, using a unified coordinate system.

[0121] Step S6: Perform windmill density distribution simulation: Use Grasshopper, a built-in parametric plug-in for Rhino, to create a unit grid range with a fixed coordinate interval radius for each entity point in step S5. Use the Grasshopper plug-in populat2D command to perform random point distribution, with the number of distributed points equal to the Y value of each sampling point. This establishes a correlation between windmill density simulation and continuous sampling of the frequency fluctuation of wind speed and direction.

[0122] Step S7, generating a windmill distribution simulation diagram: using the Bake command in Grasshopper, the random points simulated in step S6 are placed within the selected area, forming a distribution diagram on the general plan of the selected area with a density of dots based on the fluctuation of the frequency of wind speed and wind direction; picking up the (X, Y) coordinates of the points according to the distribution diagram is the location of the windmills in the area.

[0123] Of course, the present invention does not impose a specific limit on the number of wind direction intervals in step S1. In other embodiments, the wind direction may be divided into 10 intervals, with each 36° range being considered as a wind direction interval. The frequency of wind direction occurrence in each interval is calculated from the raw wind direction data of each weather station. Alternatively, the number of wind direction intervals may be adaptively adjusted as needed.

[0124] Of course, the present invention does not impose any specific restrictions on the software used for floating analysis of the wind speed distribution map and wind direction frequency in the selected area. In other embodiments, other software besides ArcGIS Pro software can also be used for data analysis and calculation.

[0125] Example 2

[0126] See Figure 1 and Figure 2 , Figure 1 A schematic diagram of the three-dimensional structure of a swing-type power generation wind turbine in an embodiment of the present invention is shown. Figure 2 A front view of a swing-type power generation wind turbine in an embodiment of the present invention is shown.

[0127] A swing-type power generation wind turbine, applied to the site selection method in Example 1, specifically includes the following structure:

[0128] Catching the wind 1, such as Figure 3 The enlarged schematic diagram of the wind catcher structure shown includes: a plurality of fan-shaped blades 2 connected to each other; the wind catcher 1 has an expanded state in which it is driven to open, and a folded state in which it is driven to close;

[0129] The vibrating column 3, the wind catcher 1 is arranged at the upper end of the vibrating column 3, and the vibrating column 3 generates oscillation and swing under the drive of wind, converting wind energy into kinetic energy, and transmitting it to the rotor through a mechanical transmission device, and then the generator converts the kinetic energy into electrical energy; Figure 2 As shown, the connecting section between the wind catcher 1 and the vibration column 3 has a contraction section 5 with a diameter smaller than that of the vibration column 3, so as to enhance the swing amplitude of the wind catcher 1;

[0130] A wind speed sensor is used to monitor the wind speed at the position of the wind catcher 1 and is communicated with the wind catcher 1 through a controller to control the wind catcher 1 to switch between the folded state and the unfolded state; when the wind speed sensor detects that the wind speed is within the working range of the wind catcher 1, the wind catcher 1 switches to the unfolded state to form a large-area fan to capture wind energy; when the wind speed sensor detects that the wind speed is less than or greater than the working range of the wind catcher 1, the wind catcher 1 switches to the folded state.

[0131] In this embodiment, if Figure 1 and Figure 3 As shown, the fan-shaped blades 2 are hollow airbag structures with a membrane structure, and the fan-shaped blades 2 are connected to the inflation mechanism; the outer contour edge of the fan-shaped blades 2 is also provided with a skeleton to maintain the fan-shaped blades 2 in the stored shape; when the fan-shaped blades 2 are inflated, the air pressure overcomes the elastic force of the skeleton to switch the fan-shaped blades 2 to the expanded state. In addition, the skeletons at the edge positions of adjacent fan-shaped blades 2 are connected by hinges 4, so that the wind catcher 1 forms a rod-shaped structure in the folded state and reduces wind resistance. In this embodiment, the two blades of the hinge 4 are magnetic parts that attract each other. When the fan-shaped blades 2 are inflated, the adjacent fan-shaped blades 2 overcome the driving force of the hinge 4 to fold, so that the adjacent fan-shaped blades 2 can be expanded. When the fan-shaped blades 2 are deflated, the magnetic force of the hinge 4 drives the hinge 4 to close, so that the wind catcher 1 can be folded and reduce wind resistance.

[0132] The oscillating wind turbine features a wind-catcher 1 that can be actively deployed and folded. When a wind speed sensor detects wind speeds within a suitable range, the fan-shaped blades 2 of the wind-catcher 1 unfold, allowing the oscillating wind turbine to effectively capture wind energy. This makes it suitable for areas with weak wind resources, enabling low-speed wind energy capture and expanding the scope of wind energy utilization.

[0133] Of course, the present invention does not impose any specific limitations on the method for driving the hinge 4 to fold. In other embodiments, the two blades of the hinge 4 are elastic members that attract each other. When the fan-shaped blades 2 are inflated, the adjacent fan-shaped blades 2 overcome the driving force of the hinge 4 to fold, causing the adjacent fan-shaped blades 2 to unfold. When the fan-shaped blades 2 are deflated, the elastic force of the hinge 4 drives the hinge 4 to close, thereby folding the wind catcher 1 and reducing wind resistance.

[0134] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A method for site selection of a swing-type power generation wind turbine, characterized in that: The following steps are involved: Step s1: Get the wind speed distribution map and wind direction frequency floating distribution map of the selected area: Measure and obtain the spatial continuous wind speed distribution map at different time points in the selected area; At the same time, the distribution diagram of the wind direction frequency fluctuation is obtained: The wind direction is divided into multiple intervals; the occurrence frequency of the wind direction in each interval is counted in the original wind direction data of each weather station; The fluctuation of the frequency of each wind direction interval at each weather station is determined by the parameter s F Determination, s F The frequency of wind direction fluctuation is calculated using the following formula: Where: s F The frequency fluctuation of wind direction; Fi is the frequency of wind direction in each interval. When a certain wind direction has no frequency, Fi is recorded as 0. i is the wind direction interval number, and i takes values ​​of 1, 2, 3, ..., n. is the average frequency of wind direction occurrence at each weather station; Step S2, exporting a wind speed distribution map and a wind direction frequency fluctuation distribution map for the selected area: outputting the cumulative average wind speed data and wind direction frequency fluctuation distribution data for the summer and winter months of a unit grid with a fixed coordinate interval radius within the selected area, including the sampling point coordinates and the cumulative monthly average wind speed and wind direction frequency fluctuation distribution data; Step S3: Based on the distribution map in step S2, areas unsuitable for arranging oscillating wind turbines are identified: areas unsuitable for wind turbine construction are identified within the plane wind speed selection zone, including: building perimeters, ecological protection zones, ski tracks, and cableway tracks; and plane curved areas within the scope of wind turbine construction sites are selected; Step S4: Establish a functional relationship between the fluctuation of wind speed and wind direction and windmill density: Establish the average wind speed b and wind direction frequency fluctuation s for the selected month F , and the functional relationship between the two and the windmill location density value Y (units / hundred square meters) within the radius of the unit sampling point: Where: b is the average wind speed; s F The wind direction frequency fluctuation recorded in step S1; Y is the windmill location density within the unit sampling point radius; Step S5, picking up the coordinate data of the wind speed and wind direction frequency fluctuation of the sampling point: The coordinate data file of the wind speed and wind direction frequency fluctuation of the sampling point is picked up, and the point object within the selection range is established. The (X, Y) coordinates of the entity point correspond to the actual coordinate point, and a unified coordinate system is used; Step S6, performing windmill density distribution simulation: for each entity point in step S5, a unit grid range with a fixed coordinate interval radius is established, and random point distribution is performed. The number of distribution points is the Y value of each sampling point, and the windmill density simulation is associated with the sampling of the continuous wind speed and wind direction frequency fluctuation. Step S7, generating a windmill distribution simulation map: placing the random points simulated in step S6 within the selected area to form a distribution map on the general plan of the selected area with a density of dots based on the fluctuation of the frequency of wind speed and wind direction; picking up the (X, Y) coordinates of the points according to the distribution map, which is the location of the windmills in the area.

2. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S1, using ArcGIS Pro software, an interpolation tool is used to obtain a spatially continuous wind speed distribution map at different time points in the selected area; and / or, In step S1, the wind direction is divided into 12 intervals, wherein each 30° range is a wind direction interval; Among them, the s of each weather station F , represents the fluctuation size of the frequency of wind direction; Using ArcGIS Pro software and the interpolation tool, we obtained the distribution map of the spatial wind direction frequency fluctuation at different time points in the selected area based on the wind direction frequency fluctuation data of all meteorological stations.

3. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S2, the ArcGIS Pro software outputs the distribution data of the average wind speed data and the frequency fluctuation of wind direction in summer and winter months for the unit grid with a fixed coordinate interval radius within the selected area, including the sampling point coordinates and the distribution data of the average wind speed and wind direction frequency fluctuation, and exports them in Excel file format.

4. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S3, the 3D modeling and analysis software Rhino is used to identify areas unsuitable for windmill construction within the planar wind speed selection zone, including building perimeters, ecological protection zones, ski tracks, and cableway tracks. Furthermore, the Rhino built-in plug-in Grasshopper is used to pick the planar curved area within the final windmill construction site range.

5. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S4, the relationship between the wind turbine location density value Y within the unit sampling point radius and the power generation wind turbine layout density is as follows: When the Y value is 0<Y≤0.21, the density of wind turbines is 2 per 100 square meters; When the Y value is 0.21<Y≤0.5, the density of wind turbines is 5 per 100 square meters; When the Y value is 0.5<Y≤0.79, the density of wind turbines is 10 per 100 square meters; When the Y value is 0.79<Y, the layout density of wind turbines is 15 per 100 square meters.

6. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S5, the built-in parametric plug-in Grasshopper of Rhino is used to pick up the coordinate data file of the frequency fluctuation of wind speed and wind direction at the sampling point, and establish the point object within the selection range. The (X, Y) coordinates of the entity point correspond to the actual coordinate point, and a unified coordinate system is used.

7. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S6, the built-in parametric plug-in Grasshopper of Rhino is used to establish a unit grid range with a fixed coordinate interval radius for each entity point. The Grasshopper plug-in populat2D command is used to perform random point distribution. The number of distributed points is the Y value of each sampling point. The association between the windmill density simulation and the continuous sampling of the floating frequency of wind speed and wind direction is established.

8. The site selection method for a swing-type power generation wind turbine according to claim 1, characterized in that: In step S7, the simulated random points are placed within the selected area through the Bake command in Grasshopper, forming a distribution map on the general plan of the selected area, in which the density of the dot matrix represents the fluctuation of the frequency of wind speed and wind direction; the (X, Y) coordinates of the points are picked according to the distribution map, which is the location of the windmill in the area.

9. A swing-type power generation windmill, applied to the site selection method for a swing-type power generation windmill according to any one of claims 1 to 8, characterized in that: include: A wind catcher (1) comprises: at least two fan-shaped blades (2) connected in a cooperative manner; the wind catcher (1) has an expanded state in which it is driven to open, and a folded state in which it is driven to close; A vibration column (3), wherein the wind catcher (1) is arranged at the upper end of the vibration column (3), and the vibration column (3) generates oscillation and swing under the drive of wind, converting wind energy into kinetic energy, and transmitting it to the rotor through a mechanical transmission device, and then the generator converts the kinetic energy into electrical energy; A wind speed sensor is used to monitor the wind speed at the position of the wind catcher (1), and is connected to the wind catcher (1) through a controller to control the wind catcher (1) to switch between the folded state and the unfolded state; when the wind speed sensor detects that the wind speed is within the working range of the wind catcher (1), the wind catcher (1) switches to the unfolded state to form a large-area fan to capture wind energy; when the wind speed sensor detects that the wind speed is less than or greater than the working range of the wind catcher (1), the wind catcher (1) switches to the folded state.

10. The swing-type power generation wind turbine according to claim 9, characterized in that: The fan-shaped blades (2) are hollow airbag structures of a membrane structure, and the fan-shaped blades (2) are connected to an inflation mechanism; The outer contour edge of the fan-shaped blade (2) is also provided with a skeleton for maintaining the fan-shaped blade (2) in a stored shape; when the fan-shaped blade (2) is inflated, the air pressure overcomes the elastic force of the skeleton to switch the fan-shaped blade (2) to the expanded state.

11. The swing-type power generation wind turbine according to claim 10, characterized in that: The frames at the edge positions of the adjacent fan-shaped blades (2) are connected via hinges (4), so that the wind catcher (1) forms a rod-shaped structure in a folded state, thereby reducing wind resistance; and / or, The connecting section between the wind catcher (1) and the vibration column (3) has a contraction section (5) with a diameter smaller than that of the vibration column (3), so as to enhance the swing amplitude of the wind catcher (1).

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