Site selection method, device and equipment for wind measurement device in wind power plant and medium

Abstract

The invention discloses a site selection method, device and equipment for a wind measuring device in a wind power plant and a medium, and belongs to the field of wind power generation. The method comprises the following steps: determining a minimum convex polygon area including wind turbine generators in a wind power plant according to position information of the wind turbine generators in the wind power plant; based on a first comparison result of the expected number of the wind measuring devices and the number of the vertex wind turbine generators, the position of a target wind turbine generator is output, the vertex wind turbine generators refer to the wind turbine generators at the vertexes of the minimum convex polygon area, and the target wind turbine generator refer to the wind turbine generators needing to be configured with the wind measuring devices in the wind power plant. According to the embodiment of the invention, the cost and maintenance difficulty of the wind power plant can be reduced.

Description

Technical Field

[0001] The present application belongs to the field of wind power generation, and in particular relates to a site selection method, device, equipment and medium for a wind measuring device in a wind farm. Background Art

[0002] When building a wind farm, a wind tower will be built to obtain wind data, so as to evaluate the wind resources for the site selection of the wind farm, obtain the wind resource situation, and determine the construction location of the wind farm. However, after the wind farm is completed, due to the influence of the wind turbines in the wind farm, the wind data obtained by the wind tower can no longer represent the wind conditions of the entire wind farm.

[0003] In order to obtain the wind conditions of the wind farm after it is built, a wind measuring device can be configured for each wind turbine in the wind farm, and wind condition data can be obtained through the wind measuring device, and the wind conditions of the wind farm can be determined based on the wind condition data. However, there are many wind turbines in the wind farm, and each wind turbine is equipped with a wind measuring device, which increases the cost and increases the difficulty of wind farm maintenance. Summary of the invention

[0004] The embodiments of the present application provide a method, device, equipment and medium for selecting a site for a wind measuring device in a wind farm, which can reduce the cost and maintenance difficulty of the wind farm.

[0005] In a first aspect, an embodiment of the present application provides a method for selecting a site for a wind measuring device in a wind farm, comprising: determining a minimum convex polygonal area including the wind turbines in the wind farm based on location information of the wind turbines in the wind farm; outputting the location of a target wind turbine based on a first comparison result of an expected number of wind measuring devices and the number of vertex wind turbines, the vertex wind turbine refers to a wind turbine at the vertex of the minimum convex polygonal area, and the target wind turbine refers to a wind turbine in the wind farm that needs to be equipped with the wind measuring device.

[0006] In some possible embodiments, the outputting the position of the target wind turbine group based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine groups includes: in response to the expected number being equal to the number of vertex wind turbine groups, taking the position of the vertex wind turbine group as the position of the target wind turbine group.

[0007] In some possible embodiments, the outputting the position of the target wind turbine group based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine groups includes: in response to the expected number being less than the number of vertex wind turbine groups, forming a plurality of combinations from the vertex wind turbine groups, each combination including the expected number of vertex wind turbine groups; and selecting the position of the vertex wind turbine group in a combination as the position of the target wind turbine group based on the distance between any two of the vertex wind turbine groups in the combination and the vertex angle of the vertex wind turbine group in the minimum convex polygon area.

[0008] In some possible embodiments, the selecting the position of the vertex wind turbine in a combination as the position of the target wind turbine based on the distance between any two vertex wind turbines in the combination and the vertex angle of the vertex wind turbine in the minimum convex polygon area includes: calculating a first variance of the distance between the vertex wind turbines in the combination according to the distance between any two vertex wind turbines in the combination; calculating the sum of the vertex angles of the vertex wind turbines in the combination in the minimum convex polygon area to obtain a first sum; calculating a first weighted sum based on the first variance, the first sum, a first weight corresponding to the first variance, and a second weight corresponding to the first sum using a weighted algorithm; and selecting the position of the vertex wind turbine in the combination with the smallest first weighted sum as the position of the target wind turbine.

[0009] In some possible embodiments, the site selection method for the wind measuring device in the wind farm further includes: obtaining the position coordinates of any two of the vertex wind turbines in the combination; and determining the distance between any two of the vertex wind turbines according to the position coordinates of any two of the vertex wind turbines.

[0010] In some possible embodiments, the site selection method for the wind measuring device in the wind farm also includes: for any one of the vertex wind turbines in the combination, determining two of the vertex wind turbines adjacent to any one of the vertex wind turbines in the minimum convex polygon area; obtaining a first vector pointing from any one of the vertex wind turbines to an adjacent one of the vertex wind turbines, and a second vector pointing from any one of the vertex wind turbines to another adjacent vertex wind turbine; calculating the angle between the first vector and the second vector based on the first vector and the second vector, and determining the angle as the vertex angle of any one of the vertex wind turbines in the minimum convex polygon area.

[0011] In some possible embodiments, the combination includes a priority wind turbine group, and the priority wind turbine group refers to the vertex wind turbine group located in the main wind direction of the wind farm;

[0012] The site selection method for the wind measuring device in the wind farm also includes: calculating the centroid of the minimum convex polygonal area, starting from the centroid, gradually increasing the search distance, searching for wind turbines in the main wind direction of the wind farm, and determining the vertex wind turbine finally found as the priority wind turbine; or calculating the centroid of the minimum convex polygonal area, calculating the wind turbine vector of the centroid and the vertex wind turbine, calculating the main wind direction vector based on the main wind direction of the wind farm, and determining the vertex wind turbine corresponding to the wind turbine vector with the longest projection length on the main wind direction vector as the priority wind turbine.

[0013] In some possible embodiments, outputting the position of the target wind turbine group based on a first comparison result between an expected number of wind measuring devices and the number of vertex wind turbine groups includes: in response to the expected number being greater than the number of vertex wind turbine groups, determining the vertex wind turbine group as the target wind turbine group; acquiring edge wind turbine groups, and selecting some of the wind turbine groups other than the vertex wind turbine groups in the wind farm as the target wind turbine groups based on a second comparison result between the number of edge wind turbine groups and the first number, and outputting the position of the target wind turbine group, wherein a distance between the edge wind turbine group and the edge of the minimum convex polygonal area is greater than zero and less than a preset distance threshold, and the first number is a difference between the expected number and the number of the vertex wind turbine groups.

[0014] In some possible embodiments, selecting some of the wind turbines other than the vertex wind turbines in the wind farm as the target wind turbines based on a second comparison result between the number of the edge wind turbines and the first number includes: in response to the number of the edge wind turbines being equal to the first number, determining the edge wind turbines as the target wind turbines.

[0015] In some possible embodiments, selecting part of the wind turbines other than the vertex wind turbines in the wind farm as the target wind turbines according to a second comparison result between the number of the edge wind turbines and the first number includes: in response to the number of the edge wind turbines being less than the first number, determining the edge wind turbines as the target wind turbines; calculating a second number, where the second number is a difference between the first number and the edge wind turbines; clustering the wind turbines other than the vertex wind turbines and the edge wind turbines in the wind farm according to the second number to obtain the second number of cluster clusters; and selecting the wind turbine in each cluster cluster that is closest to the centroid of the cluster cluster as the target wind turbine.

[0016] In some possible embodiments, selecting part of the wind turbines other than the vertex wind turbines in the wind farm as the target wind turbines according to the second comparison result between the number of the edge wind turbines and the first number includes: in response to the number of the edge wind turbines being greater than the first number, forming a polygonal area according to the edge wind turbines, the vertices of the polygonal area including the edge wind turbines, forming a plurality of combinations from the edge wind turbines, each combination including the first number of edge wind turbines, and selecting the edge wind turbines in a combination as the target wind turbines based on the distance of the edge wind turbines in the combination and the vertex angle of the edge wind turbines in the combination in the polygonal area; or, in response to the number of the edge wind turbines being greater than the first number, clustering the wind turbines other than the vertex wind turbines in the wind farm according to the first number to obtain the first number of cluster clusters, and selecting the wind turbine closest to the centroid of the cluster in each cluster cluster as the target wind turbine.

[0017] In a second aspect, an embodiment of the present application provides a site selection device for a wind measuring device in a wind farm, comprising: an area determination module, used to determine a minimum convex polygonal area including the wind turbines in the wind farm based on the location information of the wind turbines in the wind farm; a position determination module, used to output the location of the target wind turbine group based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbines, the vertex wind turbine group refers to the wind turbine group at the vertex of the minimum convex polygonal area, and the target wind turbine group refers to the wind turbine group in the wind farm that needs to be equipped with the wind measuring device.

[0018] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the method for site selection of a wind measuring device in a wind farm of the first aspect is implemented.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon, and when the computer program instructions are executed by a processor, the method for site selection of a wind measuring device in a wind farm according to the first aspect is implemented.

[0020] The embodiment of the present application provides a method, device, equipment and medium for selecting a site for a wind measuring device in a wind farm. The minimum convex polygon area that can include the wind turbines in the wind farm can be determined based on the location information of the wind turbines in the wind farm. Some of the wind turbines in the wind farm are the vertices of the minimum convex polygon, namely the vertex wind turbines. The vertex wind turbines are located at the edge of the wind farm, and a wind measuring device is configured on the vertex wind turbines. For all wind directions, the vertex wind turbines configured with the wind measuring device are upstream of the wind turbines not configured with the wind measuring device, which can meet the wind farm's observation requirements for wind conditions. However, based on the needs of the wind farm, the expected number of wind measuring devices may be the same as or different from the number of vertex wind turbines. It is necessary to compare the expected number of wind measuring devices with the number of vertex wind turbines. According to the first comparison result that can characterize the size relationship between the expected number of wind measuring devices and the number of vertex wind turbines, it is determined which wind turbines in the wind farm are specifically selected as the wind turbines configured with the wind measuring device, namely the target wind turbines, and the location of the target wind turbines is output. In this scheme, it is not necessary to equip each wind turbine in the wind turbine generator set with a wind measuring device. Based on the wind delay effect in the atmospheric boundary layer, selecting some wind turbines in the wind farm to equip them with wind measuring devices can meet the wind farm's requirements for wind condition observation, thereby reducing the cost and maintenance difficulty of the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 A schematic diagram of an example of a wind turbine generator set equipped with a laser radar provided in an embodiment of the present application;

[0023] Figure 2 A flow chart of a method for selecting a site for a wind measuring device in a wind farm provided in an embodiment of the present application;

[0024] Figure 3 A schematic diagram of the point distribution of an example of wind turbines in a wind farm provided in an embodiment of the present application;

[0025] Figure 4 A flow chart of a method for selecting a site for a wind measuring device in a wind farm provided in another embodiment of the present application;

[0026] Figure 5 A schematic diagram of the point distribution of another example of wind turbines in a wind farm provided in an embodiment of the present application;

[0027] Figure 6 A schematic diagram of the point distribution of another example of wind turbines in a wind farm provided in an embodiment of the present application;

[0028] Figure 7 A schematic diagram of the structure of a site selection device for a wind measuring device in a wind farm provided in an embodiment of the present application;

[0029] Figure 8 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0030] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0031] When building a wind farm, a wind tower will be built to obtain wind data, so as to evaluate the wind energy resources for the site selection of the wind farm, obtain the wind resource situation, and determine the construction location of the wind farm. However, after the construction of the wind farm is completed, due to the influence of the wind turbines in the wind farm, the wind data obtained by the wind tower can no longer represent the wind conditions of the entire wind farm. In order to obtain the wind conditions of the wind farm after completion, a wind measuring device can be configured for each wind turbine in the wind farm, and wind data can be obtained through the wind measuring device, and the wind conditions of the wind farm can be determined based on the wind data. However, there are a large number of wind turbines in the wind farm, and each wind turbine is equipped with a wind measuring device, which increases the cost and increases the difficulty of maintaining the wind farm.

[0032] The present application provides a method, device, equipment and medium for selecting a site for a wind measuring device in a wind farm. Based on the wind delay effect in the atmospheric boundary layer when wind propagates in a wind farm, the wind speed and direction of the wind turbines in the front row are highly correlated with the wind speed and direction of the wind turbines in the rear row. It is not necessary to configure a wind measuring device for each wind turbine in the wind farm. Only individual wind turbines at the edge of the wind farm can be provided with a wind measuring device. The wind condition data required by the wind farm can be obtained to determine the wind condition of the wind farm, perceive extreme wind conditions in advance, take corresponding measures, reduce the risk of load increase, fatigue damage and damage to the wind turbines when they are subjected to destructive wind conditions, and improve the safety of the wind turbines. On the basis of improving the safety of the wind turbines, the number of wind turbines that need to be equipped with wind measuring devices in the wind farm, that is, the number of wind measuring devices, can also be reduced, thereby reducing the cost and the difficulty of wind farm maintenance.

[0033] For ease of understanding, here is a brief description of the configuration of the wind measuring device and the wind turbine generator set. The wind measuring device can be installed behind the impeller surface of the wind turbine generator set, but is not limited to this. The wind measuring device may include a mechanical wind cup, a wind vane, a laser radar, a ground-based radar, a scanning radar, or an ultrasonic wind measuring radar. The wind condition data obtained by the mechanical wind cup or wind vane may be affected by the impeller surface, resulting in a decrease in the accuracy of the wind condition data. In scenarios where the accuracy of wind condition data is required to be high, a laser radar can be selected as a wind measuring device. The laser radar can observe wind condition data such as wind speed and wind direction at a distance of up to 200 meters in front of the impeller surface. Due to the delay effect of the wind, the characteristics of the incoming wind can be predicted 10 to 20 seconds in advance, so that relevant measures can be taken. Figure 1 A schematic diagram of an example of a wind turbine generator set equipped with a laser radar provided in an embodiment of the present application is shown as follows: Figure 1 As shown, the laser radar 11 can be set behind the impeller surface 12 of the wind turbine generator set. The laser radar 11 can emit two laser beams in different directions. The two laser beams are laser beam 1 and laser beam 2. There is a certain angle a between laser beam 1 and laser beam 2. The value of angle a can be set according to the scene, demand, experience, etc. The wind speed and wind direction and other wind condition data at different distances in the direction of sight of the two laser beams can be measured, and the wind speed, wind direction, wind shear and other wind condition data at the center height of the hub in front of the impeller surface 12 can be calculated through relevant algorithms. Ground-based radars and scanning radars can be deployed near wind turbine generator sets.

[0034] The site selection method, device, equipment and medium of the wind measuring device in the wind farm provided by the present application are described below. It should be noted that for the sake of simplicity, the wind turbine generator set is referred to as a wind turbine generator set below.

[0035] In a first aspect, the present application provides a method for selecting a site for a wind measuring device in a wind farm, which can be applied to wind farms, such as wind farms in flat terrain, wind farms in large base projects, and other wind farms where the wind has a small difference in a two-dimensional plane. The method for selecting a site for a wind measuring device in a wind farm can be performed by a site selection device for a wind measuring device in a wind farm, an electronic device, etc., but is not limited thereto. Figure 2 A flow chart of a method for selecting a site for a wind measuring device in a wind farm provided in an embodiment of the present application, such as Figure 2 As shown, the method for selecting a site for a wind measuring device in a wind farm may include step S201 and step S202.

[0036] In step S201, the minimum convex polygonal area including the wind turbines in the wind farm is determined according to the location information of the wind turbines in the wind farm.

[0037] There are multiple wind turbines in a wind farm. The location information of each wind turbine in the wind farm can be obtained in advance to determine the location of the wind turbine, thereby determining the distribution of the wind turbines in the wind farm. The location information may include geographic location information, such as latitude and longitude. According to the location of the wind turbine, a minimum convex polygonal area including the wind turbines in the wind farm, i.e., a minimum convex polygonal area, can be formed. In some examples, the minimum convex polygonal area can be calculated using a convex hull algorithm based on the location information of the wind turbines in the wind farm. The wind turbines in the wind farm are all located in the minimum convex polygonal area, and some of the wind turbines in the wind farm are vertices of the minimum convex polygonal area. For example, Figure 3 A schematic diagram of the point distribution of an example of wind turbines in a wind farm provided in an embodiment of the present application, such as Figure 3 As shown, the wind farm includes wind turbines 1 to 40 ( Figure 3 The wind turbine group numbers are not shown one by one in the figure), among which wind turbine group 39, wind turbine group 33, wind turbine group 30, wind turbine group 25, wind turbine group 19, wind turbine group 6 and wind turbine group 37 form a minimum convex polygon area and serve as the vertices of the minimum convex polygon area. For the convenience of explanation, the wind turbine group serving as the vertex of the minimum convex polygon area is referred to as the vertex wind turbine group, that is, the vertex wind turbine group refers to the wind turbine group at the vertex of the minimum convex polygon area.

[0038] In step S202, based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbines, the position of the target wind turbine is output.

[0039] The target wind turbine group refers to the wind turbine group in the wind farm that needs to be equipped with a wind measuring device. The target wind turbine group only needs to be equipped with a wind measuring device to obtain wind condition data. The position of the target wind turbine group can be regarded as the position of the wind measuring device. By determining the position of the target wind turbine group, the position of the wind measuring device can be determined.

[0040] The expected number is the number of wind measuring devices expected to be set in the wind farm, and the expected number can also be regarded as the expected number of target wind turbines in the wind farm. The expected number can be set according to the scenario, demand, experience, etc. For example, the expected number is set based on the control of costs and the requirements of the wind farm for wind condition observation. In some examples, a ratio can be preset, and wind measuring devices are configured on wind turbines of this ratio in the wind turbines in the wind farm. For example, wind measuring devices can be configured on 10% or 20% of the wind turbines in the wind farm, that is, 10% or 20% of the wind turbines in the wind farm are selected as target wind turbines.

[0041] Based on the control of cost and the requirements of the wind farm for wind condition observation, the expected number may be different from the number of vertex wind turbines, and the expected number may be greater than the number of vertex wind turbines or less than the number of vertex wind turbines. The expected number and the number of vertex wind turbines can be compared to obtain a first comparison result, which characterizes the size relationship between the expected number and the number of vertex wind turbines. According to the first comparison result, it is determined which wind turbines in the wind farm are specifically selected as the target wind turbines, and the position of the target wind turbine is output. The target wind turbine includes some of the wind turbines in the wind farm. The vertex wind turbine is located at the edge of the wind farm, and a wind measuring device is configured on the vertex wind turbine. For all wind directions, the vertex wind turbine equipped with a wind measuring device is upstream of the wind turbine not equipped with a wind measuring device. The target wind turbine includes at least some of the vertex wind turbines, which can meet the wind farm's observation requirements for wind condition data to a certain extent.

[0042] In an embodiment of the present application, the minimum convex polygon area that may include the wind turbines in the wind farm can be determined based on the location information of the wind turbines in the wind farm, and some of the wind turbines in the wind farm are the vertices of the minimum convex polygon, namely, the vertex wind turbines. The vertex wind turbines are located at the edge of the wind farm, and a wind measuring device is configured on the vertex wind turbines. For all wind directions, the vertex wind turbines configured with the wind measuring device are upstream of the wind turbines not configured with the wind measuring device, which can meet the wind farm's observation requirements for wind conditions. However, based on the needs of the wind farm, the expected number of wind measuring devices and the number of vertex wind turbines may be the same or different. It is necessary to compare the expected number of wind measuring devices with the number of vertex wind turbines, and determine which wind turbines in the wind farm are specifically selected as wind turbines configured with wind measuring devices, namely, target wind turbines, based on a first comparison result that can characterize the size relationship between the expected number of wind measuring devices and the number of vertex wind turbines, and output the location of the target wind turbines. In this solution, it is not necessary to configure a wind measuring device for each wind turbine in the wind turbine generator set. Based on the wind delay effect in the atmospheric boundary layer, selecting some wind turbines in the wind farm to configure wind measuring devices can meet the wind farm's requirements for wind condition observation, reducing the cost and maintenance difficulty of the wind farm. For example, there are 30 wind turbines in the wind farm. If each wind turbine is configured with a laser radar, and the cost of each laser radar is 100,000 yuan, the total cost is 3 million yuan; if the site selection method of the wind turbine in the embodiment of the present application is adopted, only 3 wind turbines can be selected in the wind farm to configure the laser radar, and the total cost is 300,000 yuan, which can reduce the cost by 90%, and the wind turbine configured with the laser radar, that is, the target wind turbine, can measure relatively accurate wind condition data to meet the wind farm's wind condition observation requirements.

[0043] In some embodiments, the expected number may be equal to the number of wind turbine generator sets at the apex, or the expected number may be less than the number of wind turbine generator sets at the apex, or the expected number may be greater than the number of wind turbine generator sets at the apex. Different processing may be performed according to different first comparison results. Figure 4 A flowchart of a method for selecting a site for a wind measuring device in a wind farm provided in another embodiment of the present application, Figure 4 and Figure 2 The difference is that Figure 2 Step S202 in the above example can be specifically broken down into Figure 4 Steps S2021 to S2025 in .

[0044] In step S2021, in response to the expected number being equal to the number of the vertex wind turbines, the position of the vertex wind turbine is used as the position of the target wind turbine.

[0045] If the expected number is equal to the number of wind turbines at the vertex, all wind turbines at the vertex can be determined as target wind turbines. For all wind directions, the wind turbines at the vertex are upstream of other wind turbines in the wind farm. Using the wind turbines at the vertex as wind turbines equipped with wind measuring devices can meet the wind farm's wind condition observation requirements. The position of the wind turbine at the vertex is output as the position of the target wind turbine.

[0046] In step S2022 , in response to the expected number being less than the number of apex wind turbines, a plurality of combinations are formed from the apex wind turbines.

[0047] If the expected number is less than the number of wind turbines at the apex, then some of the wind turbines at the apex need to be selected as target wind turbines. Multiple combinations can be formed based on the apex wind turbines according to the expected number, and each combination includes the expected number of wind turbines at the apex. One wind turbine at the apex can appear in multiple combinations. For example, if the distribution of wind turbines in a wind farm is as follows: Figure 3 As shown, the expected number is 4, and the vertex wind turbines include wind turbine 39, wind turbine 33, wind turbine 30, wind turbine 25, wind turbine 19, wind turbine 6 and wind turbine 37. Multiple combinations can be formed among wind turbine 39, wind turbine 33, wind turbine 30, wind turbine 25, wind turbine 19, wind turbine 6 and wind turbine 37, each combination including 4 vertex wind turbines, such as, wind turbine 39, wind turbine 33, wind turbine 30 and wind turbine 25 are determined as a combination, wind turbine 25, wind turbine 19, wind turbine 6 and wind turbine 37 are determined as a combination, and wind turbine 39, wind turbine 33, wind turbine 6 and wind turbine 37 are determined as a combination. The combination methods are not explained one by one here.

[0048] In step S2023, based on the distance between any two vertex wind turbines in the combination and the vertex angle of the vertex wind turbine in the minimum convex polygon area, the position of a vertex wind turbine in the combination is selected as the position of the target wind turbine.

[0049] In the process of determining the target wind turbines, it is hoped that the distribution of the target wind turbines is relatively more uniform, and it is also hoped that the target wind turbines can cover a relatively larger range of wind directions. Based on the distance between any two vertex wind turbines in each combination, the uniformity of the distribution of the vertex wind turbines in each combination when used as the target wind turbines can be determined. Based on the vertex angle of the vertex wind turbines in the minimum convex polygon area in each combination, the range of wind directions that can be covered by the vertex wind turbines in each combination when used as the target wind turbines can be determined. Based on the distance between any two vertex wind turbines in the combination and the vertex angle of the vertex wind turbines in the minimum convex polygon area, the desired number of vertex wind turbines in the combination with a relatively more uniform distribution and a relatively larger range of wind directions can be selected as the target wind turbines, and the position of the vertex wind turbines in the combination can be output as the position of the target wind turbines.

[0050] In some examples, the combination of target wind turbines can be selected based on the variance of the distances of the vertex wind turbines in the combination and the sum of the vertex angles of the vertex wind turbines in the minimum convex polygon area. Specifically, the first variance of the distances of the vertex wind turbines in the combination can be calculated based on the distances of any two vertex wind turbines in the combination; the sum of the vertex angles of the vertex wind turbines in the minimum convex polygon area in the combination can be calculated to obtain the first sum; based on the first variance, the first sum, the first weight corresponding to the first variance, and the second weight corresponding to the first sum, a weighted algorithm is used to calculate the first weighted sum; and the position of the vertex wind turbine in the combination with the smallest first weighted sum is selected as the position of the target wind turbine.

[0051] The distance between two vertex wind turbines can be calculated based on the position coordinates of the two vertex wind turbines. The position coordinates of any two vertex wind turbines in the combination can be obtained; based on the position coordinates of any two vertex wind turbines, the distance between any two vertex wind turbines can be determined. For example, if the position coordinates of one vertex wind turbine are (x1, y1) and the position coordinates of the other vertex wind turbine are (x2, y2), the distance between the two vertex wind turbines can be calculated as follows (1):

[0052]

[0053] Where d is the distance between the two vertex wind turbines.

[0054] For a combination, the distance between every two vertex wind turbines can be obtained, and the variance of the multiple distances obtained can be calculated, i.e., the first variance. In some examples, there may be a situation where the distance between two vertex wind turbines in the combination is too close, resulting in a small variance. The distance between any two vertex wind turbines in the combination can be detected. When the distance between the two vertex wind turbines is less than a preset threshold, the combination can be excluded and not used as a target wind turbine. The preset threshold can be set according to the scenario, demand, experience, etc. For example, the preset threshold can be implemented as 10% of the average value of the distance between the vertex wind turbines in the combination.

[0055] The vertex angle of the vertex wind turbine in the minimum convex polygon area can be calculated based on the vectors of the vertex wind turbine pointing to the two vertex wind turbines adjacent to the vertex wind turbine. For any vertex wind turbine in the combination, the two vertex wind turbines adjacent to any vertex wind turbine in the minimum convex polygon area can be determined; the first vector pointing from any vertex wind turbine to an adjacent vertex wind turbine and the second vector pointing from any vertex wind turbine to another adjacent vertex wind turbine are obtained; based on the first vector and the second vector, the angle between the first vector and the second vector is calculated, and the angle is determined as the vertex angle of any vertex wind turbine in the minimum convex polygon area. For example, the position coordinates of the first vertex wind turbine are (x1, y1), and the vertices of the minimum convex polygon area adjacent to the first vertex wind turbine are the second vertex wind turbine and the third vertex wind turbine. The position coordinates of the second vertex wind turbine are (x2, y2), and the position coordinates of the third vertex wind turbine are (x3, y3). The vertex angle of the first vertex wind turbine in the convex polygon area can be calculated according to the following formulas (2) to (5):

[0056]

[0057]

[0058]

[0059] θ=arccos(cosθ) (5)

[0060] in, A first vector pointing from the first vertex wind turbine group to the second wind turbine group; is the second vector pointing from the first vertex wind turbine group to the third wind turbine group; θ is the vertex angle of the first vertex wind turbine group in the convex polygon area, that is, the angle between the first vector and the second vector.

[0061] For a combination, the vertex angle corresponding to each vertex wind turbine group may be obtained, and the sum of the vertex angles corresponding to the vertex wind turbine groups in the combination, that is, the first sum, may be calculated.

[0062] The first weight corresponds to the first variance, and is a weight related to the distance between the vertex wind turbines, that is, a weight related to the uniformity of the distribution of the vertex wind turbines, which can be set according to the scene, demand, experience, etc. The second weight corresponds to the first sum, and is a weight related to the vertex angle of the vertex wind turbine, that is, a weight related to the wind direction range that the vertex wind turbine can cover, which can be set according to the scene, demand, experience, etc. The first product of the first variance and the first weight, the second product of the first sum and the second weight can be calculated, and the sum of the first product and the second product is taken as the first weighted sum. The minimum first weighted sum indicates that the distribution of the desired number of vertex wind turbines in the combination is relatively more uniform and the wind direction direction covered is relatively wider. The vertex wind turbine in the combination with the minimum first weighted sum is taken as the target wind turbine, and the position of the vertex wind turbine in the combination with the minimum first weighted sum is output.

[0063] In some examples, a normalization algorithm may be used to normalize the first variance and the first sum obtained in the above embodiments, and then calculate the first weighted sum. After obtaining the first variance, the normalization algorithm may be used to normalize the first variance corresponding to the combination to obtain the normalized first variance. After obtaining the first sum, the normalization algorithm may be used to normalize the first sum corresponding to the combination to obtain the normalized first sum; based on the normalized first variance, the normalized first sum, the first weight and the second weight, the weighted algorithm is used to calculate the first weighted sum. The normalization algorithm may be implemented as a Z-Score algorithm or other normalization algorithms, but is not limited thereto. For example, if the Z-Score algorithm is used, the first variance and the first sum may be processed according to the following formula (6):

[0064]

[0065] Among them, x z-score is the normalized object to be processed; x is the object to be processed, and the object to be processed may be the first variance and the first sum; is the mean value of the object to be processed; std(x) is the variance of the object to be processed.

[0066] In some examples, the combination formed by the vertex wind turbines may include a priority wind turbine, which refers to the vertex wind turbine located in the main wind direction of the wind farm, that is, the priority wind turbine is located in the main wind direction of the wind farm. The main wind direction is the wind direction with relatively high wind frequency determined by previous statistical observations. For example, if the distribution of wind turbines in the wind farm is as follows: Figure 3As shown in , the expected number is 4, and the priority wind turbine is wind turbine 37, then one of the four apex wind turbines in each combination formed by the apex wind turbines is wind turbine 37. Similarly, the target wind turbines determined subsequently include the priority wind turbines. For example, if the distribution of wind turbines in the wind farm is as follows Figure 3 As shown, the expected number is 4, and the priority wind turbine is wind turbine 37. The first weighted sum corresponding to the combination of wind turbine 39, wind turbine 33, wind turbine 19 and wind turbine 37 among the multiple combinations obtained based on the vertex wind turbine is the smallest, so wind turbine 39, wind turbine 33, wind turbine 19 and wind turbine 37 are determined as the target wind turbines.

[0067] The priority wind turbine can be determined by scanning outward from the centroid of the smallest convex polygon along the main wind direction. Specifically, the centroid of the smallest convex polygon area can be calculated, starting from the centroid, the search distance can be gradually increased, and the wind turbine can be searched in the main wind direction of the wind farm, and the vertex wind turbine finally found can be determined as the priority wind turbine. For example, starting from the centroid of the smallest convex polygon area, the search distance can be gradually increased, such as searching for wind turbines within 200 meters, 200 meters to 400 meters, 400 meters to 800 meters from the centroid along the main wind direction, and so on. The wind turbine finally found is the vertex wind turbine in the main wind direction, and the wind turbine in the vertex wind direction is used as the priority wind turbine.

[0068] Alternatively, the priority wind turbine can also be determined by using the vector formed by the centroid of the minimum convex polygonal area and the vertex wind turbine. Specifically, the centroid of the minimum convex polygonal area can be calculated, the wind turbine vector of the centroid and the vertex wind turbine can be calculated, the main wind direction vector can be calculated based on the main wind direction of the wind farm, and the vertex wind turbine corresponding to the wind turbine vector with the longest projection length on the main wind direction vector can be determined as the priority wind turbine. The vertex wind turbine corresponding to the wind turbine vector with the longest projection length on the main wind direction vector is relatively closer to the main wind direction, so it is selected as the priority wind turbine. For example, the position coordinates of the centroid of the minimum convex polygonal area are (x′, y′), and the position coordinates of a vertex wind turbine are (x1, y1). The projection length of the wind turbine vector on the main wind direction vector can be calculated according to the following equations (7) to (10):

[0069] V=(x1-x′,y2-y′) (7)

[0070] U x =cos(α) (8)

[0071] U y = sin(α) (9)

[0072] P=V x *U x +V y*U y (10)

[0073] Where V is the wind turbine vector; α is the angle of the main wind direction; U x The first element of the main wind direction vector; U y is the second element of the main wind direction vector; P is the projection length of the wind turbine vector on the main wind direction vector; V x is the first element of the fan vector, i.e. x1-x′; V y It is the second element of the fan vector, i.e. y2-y′.

[0074] In step S2024 , in response to the expected number being greater than the number of the apex wind turbines, the apex wind turbine is determined as the target wind turbine.

[0075] If the expected number is greater than the vertex wind turbines, all the vertex wind turbines can be determined as target wind turbines, and some of the wind turbines other than the vertex wind turbines in the wind farm can be selected as target wind turbines.

[0076] In step S2025, edge wind turbines are obtained, and according to the second comparison result between the number of edge wind turbines and the first number, some wind turbines other than the vertex wind turbines in the wind farm are selected as target wind turbines, and the positions of the target wind turbines are output.

[0077] The distance between the edge wind turbine and the edge of the minimum convex polygon area is greater than zero and less than the preset distance threshold, that is, the edge wind turbine refers to a wind turbine whose distance to the edge of the minimum convex polygon area is greater than zero and less than the preset distance threshold. The preset distance threshold can be set according to the scene, demand, experience, etc., and is not limited here. For example, the preset distance threshold can be 1 kilometer. The location information of the vertex wind turbine and the location information of other wind turbines can be used to calculate the closest distance between other wind turbines and the edge of the minimum convex polygon area. If the closest distance between a wind turbine and the edge of the minimum convex polygon area is greater than zero and less than the preset distance threshold, the wind turbine is determined as an edge wind turbine.

[0078] For example, the position information of a certain wind turbine is represented as P1, and the position information of the vertex wind turbines of the minimum convex polygon area is represented as A1, position point A2, position point A3, position point A4 and position point A5 respectively. The edge of the minimum convex polygon area can be represented by the vector obtained based on the position information of the vertex wind turbines. The edge between the vertex wind turbine corresponding to the position information A1 and the vertex wind turbine corresponding to the position information A2 can be represented by the vector V1, V1 = A2-A1. The vector from the vertex wind turbine corresponding to the position information A1 to the wind turbine corresponding to the position information P1 is the vector W1, W1 = P1-A1. The dot product dot(V1, W1) of vector V1 and vector W1 can be calculated, the square of the modulus of vector V, i.e. dot(V1, V1), is calculated, and the position information Q1 of the projection point of the wind turbine group corresponding to the position information P1 on the edge between the vertex wind turbine group corresponding to the position information A1 and the vertex wind turbine group corresponding to the position information A2 is calculated, Q1=A1+(dot(V1, W1) / dot(V1, V1))*V1, and the distance between the wind turbine group corresponding to the position information P1 and the projection point is the distance d1 from the wind turbine group corresponding to the position information P1 to the edge between the vertex wind turbine group corresponding to the position information A1 and the vertex wind turbine group corresponding to the position information A2, d1=|P1-Q1|. In the above manner, the distance between each wind turbine group except the vertex wind turbine group in the wind farm and the edge of the minimum convex polygon area can be calculated, and the closest distance between each wind turbine group except the vertex wind turbine group in the wind farm and the edge of the minimum convex polygon area can be obtained. According to the comparison between the closest distance and the preset distance threshold, the edge wind turbine group is determined. Figure 5 A schematic diagram of another example of the point distribution of wind turbines in a wind farm provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the edge wind turbines include wind turbine 40 , wind turbine 6 , wind turbine 36 , wind turbine 31 , wind turbine 29 , wind turbine 32 , wind turbine 22 , wind turbine 18 , wind turbine 9 , wind turbine 8 and wind turbine 2 .

[0079] The edge of the minimum convex polygon area refers to the edge formed between two adjacent vertex wind turbines. The first number is the difference between the expected number and the number of vertex wind turbines. When all vertex wind turbines are determined as target vertex wind turbines, it is also necessary to select a first number of wind turbines from the wind turbines other than the target vertex wind turbines in the wind farm as target wind turbines so that the number of target wind turbines meets the expected number. Due to the wind delay effect in the atmospheric boundary layer, edge wind turbines are preferentially selected as target wind turbines, but the number of edge wind turbines may be the same as or different from the first number, the size relationship between the number of edge wind turbines and the first number is different, and the strategy for selecting target wind turbines is also different. It is necessary to determine the selected first number of target wind turbines based on the second comparison result. The second comparison result is the comparison result between the expected number and the number of edge wind turbines, which characterizes the size relationship between the expected number and the number of edge wind turbines.

[0080] In response to the number of edge wind turbines being equal to the first number, the edge wind turbines are determined as target wind turbines. The edge wind turbines are relatively located upstream of the wind turbines in each wind direction in the wind farm except the vertex wind turbines. By taking the edge wind turbines as target wind turbines, wind conditions in more comprehensive wind directions can be observed.

[0081] In response to the number of edge wind turbines being less than a first number, the edge wind turbines may be determined as target wind turbines; a second number is calculated, where the second number is a difference between the first number and the edge wind turbines; based on the second number, the wind turbines in the wind farm except for the vertex wind turbines and the edge wind turbines are clustered to obtain a second number of clusters; and the wind turbine in each cluster that is closest to the centroid of the cluster is selected as the target wind turbine.

[0082] If the number of edge wind turbines is less than the first number, the edge wind turbines can be first determined as target wind turbines, and then a second number of wind turbines can be selected from other wind turbines in the wind farm except the vertex wind turbines and the edge wind turbines as target wind turbines, so that the number of target wind turbines meets the expected number. The number of clusters can be preset, and the number of clusters can be set to the second number, so that the second number of clusters can be obtained by clustering the other wind turbines in the wind farm except the vertex wind turbines and the edge wind turbines. The wind turbine in each cluster that is closest to the centroid of the cluster is used as the target wind turbine, which can ensure the uniformity of the distribution of the target wind turbines in the wind farm.

[0083] In response to the number of edge wind turbines being greater than a first number, a polygonal area is formed according to the edge wind turbines, and the vertices of the polygonal area include the edge wind turbines; a plurality of combinations are formed from the edge wind turbines, each combination including the first number of edge wind turbines; and based on the distance between the edge wind turbines in the combination and the vertex angles of the edge wind turbines in the combination in the polygonal area, an edge wind turbine in a combination is selected as a target wind turbine.

[0084] If the number of edge wind turbines is greater than the first number, the edge wind turbines of the first number need to be selected from the edge wind turbines as the target wind turbines. The target wind turbines can be selected from the edge wind turbines in the same manner as in the above embodiment where the expected number is less than the number of vertex wind turbines. The positions of adjacent edge wind turbines can be connected to form a polygonal area, with the edge wind turbines being the vertices of the polygonal area. For the content of selecting an edge wind turbine in a combination as the target wind turbine based on the distance between the edge wind turbines in the combination and the vertex angle of the edge wind turbines in the polygonal area, please refer to the content of selecting a vertex wind turbine in a combination as the target wind turbine based on the distance between the vertex wind turbines in the combination and the vertex angle of the vertex wind turbines in the minimum convex polygonal area in the above embodiment, which will not be repeated here.

[0085] Alternatively, in response to the number of edge wind turbines being greater than a first number, the wind turbines in the wind farm except the vertex wind turbines may be clustered according to the first number to obtain a first number of clusters; and the wind turbine in each cluster that is closest to the centroid of the cluster is selected as the target wind turbine.

[0086] The number of clusters can be preset and set to a first number, so that the wind turbines in the wind farm except the vertex wind turbines are clustered into the first number of clusters, and the wind turbine in each cluster that is closest to the centroid of the cluster is taken as the target wind turbine, thereby improving the uniformity of distribution of the target wind turbines in the wind farm.

[0087] For example, Figure 6 A schematic diagram of another exemplary point distribution of wind turbines in a wind farm provided in an embodiment of the present application, if the expected number is 20, such as Figure 6As shown, the vertex wind turbines include wind turbine 39, wind turbine 33, wind turbine 30, wind turbine 25, wind turbine 19, wind turbine 6 and wind turbine 37, the expected number is greater than the number of vertex wind turbines, and all vertex wind turbines are determined as target wind turbines; correspondingly, the first number is 13, and the edge wind turbines include wind turbine 40, wind turbine 6, wind turbine 36, wind turbine 31, wind turbine 29, wind turbine 32, wind turbine 22, wind turbine 18, wind turbine 9, wind turbine 8 and wind turbine Group 2, the number of edge wind turbines is less than the first number, and all edge wind turbines are determined as target wind turbines; correspondingly, the second number is 2, and the wind turbines in the wind farm except the vertex wind turbines and the edge wind turbines are clustered to obtain two clusters, namely cluster 1 and cluster 2. The wind turbine in cluster 1 that is closest to the centroid of cluster 1 is wind turbine 35, and the wind turbine in cluster 2 that is closest to the centroid of cluster 2 is wind turbine 10. Wind turbine 35 and wind turbine 10 are also determined as target wind turbines.

[0088] Comprehensive and accurate wind condition data can be obtained through the target wind turbines in the wind farm. When extreme wind conditions such as sudden changes in wind speed and large shear are detected based on the wind condition data, the wind turbines in the wind farm can be timely controlled to reduce the load on the wind turbines, thereby reducing the damage to the wind turbines under extreme wind conditions, extending the life of the wind turbines, and reducing the safety risks of the wind turbines in the wind farm.

[0089] A second aspect of the present application provides a site selection device for a wind measuring device in a wind farm. Figure 7 A schematic diagram of a site selection device for a wind measuring device in a wind farm according to an embodiment of the present application is shown in FIG. Figure 7 As shown, the site selection device 300 for the wind measuring device in the wind farm may include a region determination module 301 and a position determination module 302 .

[0090] The region determination module 301 may be used to determine the smallest convex polygon region including the wind turbines in the wind farm according to the location information of the wind turbines in the wind farm.

[0091] The position determination module 302 can be used to output the position of the target wind turbine group based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine groups. The vertex wind turbine group refers to the wind turbine group at the vertex of the minimum convex polygon area, and the target wind turbine group refers to the wind turbine group in the wind farm that needs to be equipped with a wind measuring device.

[0092] In an embodiment of the present application, the minimum convex polygon area that may include the wind turbines in the wind farm can be determined based on the location information of the wind turbines in the wind farm, and some of the wind turbines in the wind farm are the vertices of the minimum convex polygon, namely, the vertex wind turbines. The vertex wind turbines are located at the edge of the wind farm, and a wind measuring device is configured on the vertex wind turbines. For all wind directions, the vertex wind turbines configured with the wind measuring device are upstream of the wind turbines not configured with the wind measuring device, which can meet the wind farm's observation requirements for wind conditions. However, based on the needs of the wind farm, the expected number of wind measuring devices and the number of vertex wind turbines may be the same or different. It is necessary to compare the expected number of wind measuring devices with the number of vertex wind turbines, and determine which wind turbines in the wind farm are specifically selected as wind turbines configured with wind measuring devices, namely, target wind turbines, based on a first comparison result that can characterize the size relationship between the expected number of wind measuring devices and the number of vertex wind turbines, and output the location of the target wind turbines. In this scheme, it is not necessary to equip each wind turbine in the wind turbine generator set with a wind measuring device. Based on the wind delay effect in the atmospheric boundary layer, selecting some wind turbines in the wind farm to equip them with wind measuring devices can meet the wind farm's requirements for wind condition observation, thereby reducing the cost and maintenance difficulty of the wind farm.

[0093] In some embodiments, the position determination module 302 may be configured to: in response to the expected number being equal to the number of the vertex wind turbines, use the position of the vertex wind turbine as the position of the target wind turbine.

[0094] In some embodiments, the position determination module 302 can be used to: in response to the expected number being less than the number of vertex wind turbines, form multiple combinations from the vertex wind turbines, each combination including the expected number of vertex wind turbines; based on the distance between any two vertex wind turbines in the combination and the vertex angle of the vertex wind turbine in the minimum convex polygon area, select the position of a vertex wind turbine in a combination as the position of the target wind turbine.

[0095] In some examples, the position determination module 302 can be specifically used to: calculate the first variance of the distances between the vertex wind turbines in the combination based on the distances between any two vertex wind turbines in the combination; calculate the sum of the vertex angles of the vertex wind turbines in the combination in the minimum convex polygon area to obtain a first sum; calculate the first weighted sum based on the first variance, the first sum, the first weight corresponding to the first variance, and the second weight corresponding to the first sum using a weighted algorithm; and select the position of the vertex wind turbine in the combination with the smallest first weighted sum as the position of the target wind turbine.

[0096] In some embodiments, the site selection device 300 for the wind measuring device in the wind farm may further include a distance calculation module. The distance calculation module may be used to: obtain the position coordinates of any two vertex wind turbines in the combination; and determine the distance between any two vertex wind turbines according to the position coordinates of any two vertex wind turbines.

[0097] In some embodiments, the site selection device 300 of the wind measuring device in the above-mentioned wind farm may also include a vertex angle calculation module. The vertex angle calculation module may be used to: for any vertex wind turbine in the combination, determine the two vertex wind turbines adjacent to any vertex wind turbine in the minimum convex polygon area; obtain a first vector pointing from any vertex wind turbine to an adjacent vertex wind turbine, and a second vector pointing from any vertex wind turbine to another adjacent vertex wind turbine; calculate the angle between the first vector and the second vector based on the first vector and the second vector, and determine the angle as the vertex angle of any vertex wind turbine in the minimum convex polygon area.

[0098] In some embodiments, the combination includes a priority wind turbine group, and the priority wind turbine group refers to the vertex wind turbine group located in the main wind direction of the wind farm. The site selection device 300 of the wind measuring device in the above-mentioned wind farm may also include a priority wind turbine group determination module. The priority wind turbine group determination module can be used to calculate the centroid of the minimum convex polygon area, starting from the centroid, gradually increasing the search distance, searching for wind turbines in the main wind direction of the wind farm, and determining the vertex wind turbine group found last as the priority wind turbine group; or, calculating the centroid of the minimum convex polygon area, calculating the wind turbine vector of the centroid and the vertex wind turbine group, calculating the main wind direction vector based on the main wind direction of the wind farm, and determining the vertex wind turbine group corresponding to the wind turbine vector with the longest projection length on the main wind direction vector as the priority wind turbine group.

[0099] In some embodiments, the position determination module 302 can be used to: in response to the expected number being greater than the number of vertex wind turbines, determine the vertex wind turbine group as the target wind turbine group; obtain the edge wind turbine group, and based on the second comparison result of the number of edge wind turbine groups and the first number, select some of the wind turbines in the wind farm except the vertex wind turbine group as the target wind turbine group, output the position of the target wind turbine group, the distance between the edge wind turbine group and the edge of the minimum convex polygon area is greater than zero and less than a preset distance threshold, and the first number is the difference between the expected number and the number of vertex wind turbine groups.

[0100] In some examples, the location determination module 302 may be specifically configured to: in response to the number of edge wind turbines being equal to the first number, determine the edge wind turbines as target wind turbines.

[0101] In some examples, the location determination module 302 can be specifically used to: in response to the number of edge wind turbines being less than a first number, determine the edge wind turbine as a target wind turbine; calculate a second number, where the second number is the difference between the first number and the edge wind turbine; based on the second number, cluster the wind turbines in the wind farm except the vertex wind turbines and the edge wind turbines to obtain a second number of cluster clusters; and select the wind turbine in each cluster cluster that is closest to the centroid of the cluster cluster as the target wind turbine.

[0102] In some examples, the location determination module 302 may be specifically used to: in response to the number of edge wind turbines being greater than a first number, form a polygonal area based on the edge wind turbines, the vertices of the polygonal area include the edge wind turbines, form multiple combinations from the edge wind turbines, each combination includes a first number of edge wind turbines, and based on the distance of the edge wind turbines in the combination and the vertex angles of the edge wind turbines in the combination in the polygonal area, select an edge wind turbine in a combination as a target wind turbine; or, in response to the number of edge wind turbines being greater than the first number, cluster the wind turbines in the wind farm except the vertex wind turbines according to the first number to obtain a first number of cluster clusters, and select the wind turbine in each cluster cluster that is closest to the centroid of the cluster cluster as the target wind turbine.

[0103] The third aspect of the present application also provides an electronic device. Figure 8 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Figure 8 As shown, the electronic device 400 includes a memory 401 , a processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0104] In some examples, the processor 402 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0105] The memory 401 may include a read-only memory (ROM), a random access memory (RAM), a disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Therefore, generally, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer executable instructions, and when the software is executed (e.g., by one or more processors), it can be operated to perform the operations described with reference to the method for selecting a site for a wind measuring device in a wind farm according to an embodiment of the present application.

[0106] The processor 402 runs a computer program corresponding to the executable program code by reading the executable program code stored in the memory 401 , so as to implement the site selection method of the wind measuring device in the wind farm in the above embodiment.

[0107] In some examples, the electronic device 400 may further include a communication interface 403 and a bus 404. Figure 8 As shown, the memory 401, the processor 402, and the communication interface 403 are connected via a bus 404 and communicate with each other.

[0108] The communication interface 403 is mainly used to realize the communication between the modules, devices, units and / or equipment in the embodiment of the present application. The input device and / or output device can also be accessed through the communication interface 403.

[0109] The bus 404 includes hardware, software, or both, coupling the components of the electronic device 400 to each other. By way of example and not limitation, the bus 404 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a Memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-E) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 404 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0110] The fourth aspect of the present application also provides a computer-readable storage medium, on which a computer program instruction is stored. When the computer program instruction is executed by a processor, the method for selecting a site for a wind measuring device in a wind farm in the above embodiment can be implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The above-mentioned computer-readable storage medium may include a non-transitory computer-readable storage medium, such as a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc., which is not limited here.

[0111] An embodiment of the present application provides a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the site selection method for a wind measuring device in a wind farm in the above embodiment and can achieve the same technical effect. To avoid repetition, it will not be described here.

[0112] It should be clear that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. For device embodiments, electronic device embodiments, computer-readable storage medium embodiments, and computer program product embodiments, the relevant parts can refer to the description part of the method embodiment. The present application is not limited to the specific steps and structures described above and shown in the figures. Those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application. In addition, for the sake of brevity, a detailed description of known method technologies is omitted here.

[0113] The above reference is according to the method of the embodiment of the present application, the flow chart of the device (system) and the computer program product and / or the block diagram described various aspects of the present application.It should be understood that each square box in the flow chart and / or the block diagram and the combination of each square box in the flow chart and / or the block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the realization of the function / action specified in one or more square boxes of the flow chart and / or the block diagram.Such a processor can be but is not limited to a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit.It can also be understood that each square box in the block diagram and / or the flow chart and the combination of the square boxes in the block diagram and / or the flow chart can also be realized by the dedicated hardware that performs the specified function or action, or can be realized by the combination of dedicated hardware and computer instructions.

[0114] Those skilled in the art should understand that the above embodiments are exemplary rather than restrictive. Different technical features appearing in different embodiments can be combined to achieve beneficial effects. Based on the study of the drawings, the specification and the claims, those skilled in the art should be able to understand and implement other variations of the disclosed embodiments. In the claims, the term "comprising" does not exclude other devices or steps; the quantifier "one" does not exclude multiple; the terms "first" and "second" are used to indicate names rather than to indicate any specific order. Any figure marks in the claims should not be understood as limiting the scope of protection. The functions of multiple parts appearing in the claims can be implemented by a single hardware or software module. The appearance of certain technical features in different dependent claims does not mean that these technical features cannot be combined to achieve beneficial effects.

Claims

1. A method for selecting a site for a wind measuring device in a wind farm, characterized in that: include: Determine, according to the location information of the wind turbines in the wind farm, a minimum convex polygonal area including the wind turbines in the wind farm; Based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbines, the position of the target wind turbine is output, wherein the vertex wind turbine refers to the wind turbine at the vertex of the minimum convex polygonal area, and the target wind turbine refers to the wind turbine in the wind farm that needs to be equipped with the wind measuring device.

2. The method according to claim 1, characterized in that: The outputting the position of the target wind turbine generator set based on the first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine generator sets comprises: In response to the expected number being equal to the number of the vertex wind turbine group, the position of the vertex wind turbine group is used as the position of the target wind turbine group.

3. The method according to claim 1, characterized in that The outputting the position of the target wind turbine generator set based on the first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine generator sets comprises: In response to the expected number being less than the number of the apex wind turbines, forming a plurality of combinations from the apex wind turbines, each combination including the expected number of the apex wind turbines; Based on the distance between any two of the vertex wind turbines in the combination and the vertex angle of the vertex wind turbine in the minimum convex polygon area, the position of the vertex wind turbine in a combination is selected as the position of the target wind turbine.

4. The method according to claim 3, characterized in that The selecting the position of the vertex wind turbine group in a combination as the position of the target wind turbine group based on the distance between any two vertex wind turbine groups in the combination and the vertex angle of the vertex wind turbine group in the minimum convex polygon area includes: According to the distance between any two of the vertex wind turbines in the combination, a first variance of the distance between the vertex wind turbines in the combination is calculated; Calculate the sum of the vertex angles of the vertex wind turbines in the combination in the minimum convex polygon area to obtain a first sum; Based on the first variance, the first sum, a first weight corresponding to the first variance, and a second weight corresponding to the first sum, a first weighted sum is calculated using a weighted algorithm; The position of the vertex wind turbine group in the combination with the smallest first weighted sum is selected as the position of the target wind turbine group.

5. The method according to claim 3, characterized in that: Also includes: Obtaining the position coordinates of any two of the vertex wind turbines in the combination; The distance between any two of the vertex wind turbines is determined according to the position coordinates of any two of the vertex wind turbines.

6. The method according to claim 3, characterized in that Also includes: For any one of the vertex wind turbines in the combination, determine two of the vertex wind turbines adjacent to any one of the vertex wind turbines in the minimum convex polygon area; Obtain a first vector pointing from any one of the vertex wind turbine groups to an adjacent one of the vertex wind turbine groups, and a second vector pointing from any one of the vertex wind turbine groups to another adjacent one of the vertex wind turbine groups; The angle between the first vector and the second vector is calculated according to the first vector and the second vector, and the angle is determined as the vertex angle of any one of the vertex wind turbines in the minimum convex polygon area.

7. The method according to claim 4, characterized in that The combination includes a priority wind turbine group, and the priority wind turbine group refers to the vertex wind turbine group located in the main wind direction of the wind farm; The method further comprises: Calculate the centroid of the minimum convex polygon area, start from the centroid, gradually increase the search distance, search for wind turbines in the main wind direction of the wind farm, and determine the vertex wind turbine found last as the priority wind turbine; or, Calculate the centroid of the minimum convex polygonal area, calculate the centroid and the wind turbine vector of the vertex wind turbine group, calculate the main wind direction vector based on the main wind direction of the wind farm, and determine the vertex wind turbine group corresponding to the wind turbine vector with the longest projection length on the main wind direction vector as the priority wind turbine group.

8. The method according to claim 1, characterized in that: The outputting the position of the target wind turbine generator set based on the first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine generator sets comprises: In response to the expected number being greater than the number of the peak wind turbines, determining the peak wind turbine as the target wind turbine; Obtain edge wind turbines, select some of the wind turbines in the wind farm other than the vertex wind turbines as the target wind turbines according to a second comparison result between the number of the edge wind turbines and the first number, and output the position of the target wind turbines, wherein the distance between the edge wind turbines and the edge of the minimum convex polygonal area is greater than zero and less than a preset distance threshold, and the first number is the difference between the expected number and the number of the vertex wind turbines.

9. The method according to claim 8, characterized in that The selecting, according to the second comparison result between the number of the edge wind turbines and the first number, some of the wind turbines in the wind farm except the vertex wind turbines as the target wind turbines comprises: In response to the number of the marginal wind turbine groups being equal to the first number, the marginal wind turbine groups are determined as the target wind turbine groups.

10. The method according to claim 8, characterized in that The selecting, according to the second comparison result between the number of the edge wind turbines and the first number, some of the wind turbines in the wind farm except the vertex wind turbines as the target wind turbines comprises: In response to the number of the marginal wind turbine groups being less than the first number, determining the marginal wind turbine groups as the target wind turbine groups; Calculating a second quantity, where the second quantity is a difference between the first quantity and the edge wind turbine group; Clustering the wind turbines in the wind farm except the vertex wind turbines and the edge wind turbines according to the second number to obtain the second number of clusters; The wind turbine group in each cluster that is closest to the centroid of the cluster is selected as the target wind turbine group.

11. The method according to claim 8, characterized in that The selecting, according to the second comparison result between the number of the edge wind turbines and the first number, some of the wind turbines in the wind farm except the vertex wind turbines as the target wind turbines comprises: In response to the number of the edge wind turbines being greater than the first number, a polygonal area is formed according to the edge wind turbines, wherein the vertices of the polygonal area include the edge wind turbines, forming a plurality of combinations from the marginal wind turbine groups, each combination including the first number of the marginal wind turbine groups, Based on the distance of the edge wind turbine groups in the combination and the vertex angle of the edge wind turbine groups in the combination in the polygonal area, selecting the edge wind turbine groups in one combination as the target wind turbine group; or, In response to the number of the edge wind turbines being greater than the first number, clustering the wind turbines in the wind farm except the vertex wind turbines according to the first number to obtain the first number of cluster clusters, The wind turbine group in each cluster that is closest to the centroid of the cluster is selected as the target wind turbine group.

12. A site selection device for a wind measuring device in a wind farm, characterized in that: include: An area determination module, used to determine a minimum convex polygon area including the wind turbines in the wind farm according to the location information of the wind turbines in the wind farm; A position determination module is used to output the position of a target wind turbine group based on a first comparison result between the expected number of wind measuring devices and the number of vertex wind turbine groups, wherein the vertex wind turbine group refers to the wind turbine group at the vertex of the minimum convex polygon area, and the target wind turbine group refers to the wind turbine group in the wind farm that needs to be equipped with the wind measuring device.

13. An electronic device, characterized in that: include: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the method for selecting a site for a wind measuring device in a wind farm as claimed in any one of claims 1 to 11 is implemented.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method for selecting a site for a wind measuring device in a wind farm according to any one of claims 1 to 11 is implemented.

Images