Wind turbine wake center prediction method, electronic device, and storage medium

Abstract

The application relates to the technical field of wind power generation, and particularly provides a wind turbine wake center prediction method, an electronic device and a storage medium, and aims to solve the technical problem that existing wake models are concentrated in the calculation of the wake of a flat-terrain wind farm and cannot handle the wake distortion caused by mountains. To this end, the wind turbine wake center prediction method comprises the following steps: acquiring background flow field information at a hub height of a wind turbine; determining a first wake center position based on a flow direction wind speed and a vertical wind speed; determining a second wake center position based on the first wake center position, the flow direction wind speed and an original flow line; and obtaining a final wind turbine wake center based on the first wake center position and the second wake center position. By introducing the background flow field information, the influence of a real wind field environment on the wake can be more accurately reflected, so that the accuracy of the wake center position prediction is improved.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, specifically providing a method for predicting the wake center of a wind turbine, an electronic device, and a storage medium. Background Technology

[0002] Wind turbines within a wind farm are affected by the wake of upstream turbines. For undeveloped wind farms, minimizing the mutual influence between wakes through specific turbine layouts can increase power generation and improve economic efficiency. For existing wind farms, calculating the losses of turbines located in the wake region of upstream turbines allows for more precise control methods to reduce wake losses and increase power generation. Therefore, accurate and rapid calculation of wind farm wake distribution is of paramount importance for wind farm development.

[0003] Current wake models focus on calculating the wake of wind farms in flat terrain, where the wake propagates in a straight line. However, the wake of wind turbines in complex terrain is distorted due to the terrain. How to deal with the wake distortion caused by mountains is a critical and difficult problem. Summary of the Invention

[0004] To overcome the aforementioned shortcomings, this application is proposed to provide a solution, or at least a partial solution, to the technical problem that existing wake models are concentrated on the calculation of wakes in wind farms with flat terrain and cannot handle wake distortion caused by mountains. This application provides a method for predicting the wake center of a wind turbine, electronic equipment, and storage medium.

[0005] In a first aspect, this application provides a method for predicting the wake center of a wind turbine, the method comprising:

[0006] Obtain background flow field information at the hub height of the wind turbine, the background flow field information including the original streamlines, the directional wind speed and the vertical wind speed;

[0007] The location of the first wake center is determined based on the directional wind speed and the vertical wind speed.

[0008] The second wake center position is determined based on the first wake center position, the directional wind speed, and the original streamline;

[0009] The final wake center of the wind turbine is obtained based on the first wake center position and the second wake center position.

[0010] In one embodiment of the wind turbine wake center prediction method, determining the location of the first wake center based on the directional wind speed and the vertical wind speed includes:

[0011] The wake center wind speed is determined based on the flow wind speed;

[0012] The location of the first wake center is determined based on the wake center wind speed and the vertical wind speed.

[0013] In one embodiment of the wind turbine wake center prediction method, determining the location of the first wake center based on the wake center wind speed and the vertical wind speed includes:

[0014] The ratio of the vertical wind speed to the wind speed at the center of the wake is used as the integrand to obtain the change in height at the center of the wake.

[0015] The sum of the height changes between the hub height at the location of the wind turbine and the height change at the wake center position is taken as the first wake center position.

[0016] In one embodiment of the wind turbine wake center prediction method, determining the second wake center position based on the first wake center position, the directional wind speed, and the original streamline includes:

[0017] The wake center wind speed is determined based on the flow wind speed;

[0018] The vertical lift distance of the wake induced by the reverse vortex pair is determined based on the first wake center position, the wake center wind speed, and the original streamline.

[0019] The second wake center position is obtained based on the vertical lift distance of the wake and the original streamline.

[0020] In one embodiment of the wind turbine wake center prediction method, determining the wake center wind speed based on the flow direction wind speed when the wake moves along the original streamline includes:

[0021] Obtain the maximum wake defect coefficient under the pressure gradient of the original streamline;

[0022] The flow velocity is updated based on the maximum wake loss coefficient to obtain the wake center velocity when the wake moves along the original streamline.

[0023] In one embodiment of the wind turbine wake center prediction method, determining the vertical lift distance of the wake induced by the reverse vortex pair includes:

[0024] The vertical lift differential velocity is calculated based on the first wake center position, the wake center wind speed, and the original streamline;

[0025] The average vertical lift difference velocity of the original streamline before the highest point is calculated based on the vertical lift difference velocity.

[0026] The vertical lift distance induced by the reverse vortex pair is determined based on the average vertical lift difference velocity and the wake center wind speed.

[0027] In one embodiment of the wind turbine wake center prediction method, determining the wake vertical lift distance induced by the reverse vortex pair based on the average vertical lift difference velocity and the wake center wind speed includes: integrating the ratio of the average vertical lift difference velocity to the wake center wind speed as the integrand to obtain the wake vertical lift distance.

[0028] In one embodiment of the wind turbine wake center prediction method, obtaining the second wake center position based on the wake vertical lift distance and the original streamline includes: taking the sum of the wake vertical lift distance and the original streamline as the second wake center position.

[0029] In a second aspect, an electronic device is provided, comprising:

[0030] At least one processor;

[0031] And, a memory communicatively connected to the at least one processor;

[0032] The memory stores a computer program, which, when executed by the at least one processor, is the aforementioned wind turbine wake center prediction method.

[0033] In a third aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored therein, the program codes being adapted to be loaded and run by a processor to perform the wind turbine wake center prediction method described in any of the preceding claims.

[0034] The above-described technical solutions of this application have at least one or more of the following features.

[0035] Beneficial effects:

[0036] The wind turbine wake center prediction method in this application includes: acquiring the original streamline, directional wind speed, and vertical wind speed at the hub height of the wind turbine; determining the first wake center position based on the directional and vertical wind speeds; determining the second wake center position based on the first wake center position, directional wind speed, and the original streamline; and obtaining the final wind turbine wake center based on the first and second wake center positions. By introducing background flow field information, the influence of the real wind field environment on the wake can be more accurately reflected, thereby improving the accuracy of wake center position prediction. Attached Figure Description

[0037] The disclosure of this application will become more readily understood with reference to the accompanying drawings. It will be readily understood by those skilled in the art that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. Furthermore, similar numbers in the drawings are used to denote similar components, wherein:

[0038] Figure 1 This is a schematic diagram of the main process of the wind turbine wake center prediction method in one embodiment of this application;

[0039] Figure 2 This is a schematic diagram of the original flow field velocity of a two-dimensional mountain in one embodiment of this application;

[0040] Figure 3 This is a schematic diagram of the background flow lines at the hub position of a wind turbine in one embodiment of this application;

[0041] Figure 4 This is a schematic diagram of the wake radius of a flat terrain in one embodiment of this application;

[0042] Figure 5 This is a schematic diagram of the wake center wind speed in one embodiment of this application;

[0043] Figure 6 This is a schematic diagram comparing the wake centers in one embodiment of this application;

[0044] Figure 7 This is a schematic diagram comparing the wake center in another embodiment of this application;

[0045] Figure 8 This is a schematic diagram of the main structure of a wind turbine wake center prediction device in one embodiment of this application;

[0046] Figure 9 This is a schematic diagram of the structure of an electronic device in one embodiment of this application. Detailed Implementation

[0047] Some embodiments of this application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of this application and are not intended to limit the scope of protection of this application.

[0048] In the description of this application, "module" and "processor" can include hardware, software, or a combination of both. A module can include hardware circuitry, various suitable sensors, communication ports, memory, and can also include software components, such as program code, or a combination of software and hardware. A processor can be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and / or signal processing capabilities. The processor can be implemented in software, in hardware, or a combination of both. Non-transitory computer-readable storage media includes any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The terms "at least one A or B" or "at least one of A and B" have a similar meaning to "A and / or B" and can include only A, only B, or A and B. The singular terms "a" or "this" can also include plural forms.

[0049] Current traditional wake models focus on the calculation of wakes in wind farms on flat terrain, where the wakes propagate in a straight line. However, the wakes of wind turbines in complex terrain are distorted due to the terrain. How to deal with the wake distortion caused by mountains is a critical and difficult problem.

[0050] When the wake of a wind turbine flows over a two-dimensional mountain, an additional reverse vortex pair appears at the wake center due to the influence of the mountain. This additional reverse vortex pair induces a vertical additional velocity in the wake region, causing the position of the wind turbine wake center to continuously shift upwards. Therefore, this application provides a method, electronic device, and storage medium for predicting the wake center of a wind turbine. By calculating the additional vertical velocity of the wake caused by the additional reverse vortex pair, the position of the wake center is corrected, enabling rapid prediction of the position of the wind turbine wake center after flowing over the terrain.

[0051] See appendix Figure 1 , Figure 1 This is a schematic flowchart of the main steps of a wind turbine wake center prediction method according to an embodiment of this application.

[0052] like Figure 1 As shown, the wind turbine wake center prediction method in this application embodiment mainly includes the following steps S10-S40.

[0053] Step S10: Obtain background flow field information at the hub height of the wind turbine. The background flow field information includes the original streamline L0 and the wind speed in the direction of flow u. b0 and vertical wind speed w b0 .

[0054] Background flow field information refers to the natural wind field state parameters at the hub height of the wind turbine before it is disturbed by the wind turbine.

[0055] The original streamline refers to the airflow trajectory when it is not affected by the wind turbine, indicating the direction and path of the background wind.

[0056] Flow velocity refers to the background wind speed component along the horizontal direction.

[0057] Vertical wind speed refers to the background wind speed component along the vertical direction.

[0058] Step S20: Determine the location of the first wake center based on the directional wind speed and the vertical wind speed.

[0059] Step S30: Determine the location of the second wake center based on the location of the first wake center, the directional wind speed, and the original streamline.

[0060] Step S40: Obtain the final wake center of the wind turbine based on the first wake center position and the second wake center position.

[0061] Based on steps S10-S40 above, the original streamline, directional wind speed, and vertical wind speed at the hub height of the wind turbine are first obtained; the first wake center position is determined based on the directional and vertical wind speeds; the second wake center position is determined based on the first wake center position, the directional wind speed, and the original streamline; and the final wind turbine wake center is obtained based on the first and second wake center positions. By introducing background flow field information, the influence of the real wind field environment on the wake can be more accurately reflected, thereby improving the accuracy of wake center position prediction.

[0062] The following provides further explanation of steps S10 to S40.

[0063] Specifically, background flow field information can be obtained from data from on-site anemometer towers, or the original streamlines L0 and flow velocity u can be obtained using lidar measurements. b0 and vertical wind speed w b0 Furthermore, this application can also obtain the original flow field of a two-dimensional mountain in advance, as well as the wake radius δ0(x) of flat terrain, the rotor diameter D, and the thrust coefficient C. T Etc. For example, Figure 2 This can serve as an example diagram of the original flow field velocity; Figure 3 It can serve as a schematic diagram of the original streamlines of the background field at the hub position of the wind turbine.

[0064] Two-dimensional mountains refer to the simplification of actual three-dimensional terrain into a height profile that varies along a certain direction when performing wind field simulation or analysis, while assuming that the terrain features remain unchanged in the dimension perpendicular to that direction.

[0065] The above is a further explanation of step S10. The following is a further explanation of step S20.

[0066] Specifically, step S20 can be implemented through the following steps S201 to S202.

[0067] Step S201: Determine the wake center wind speed based on the flow direction wind speed when the wake moves along the original streamline.

[0068] Specifically, step S201 can be implemented through the following steps S2011 to S2012.

[0069] Step S2011: Obtain the maximum wake deficit coefficient under the pressure gradient of the original streamline.

[0070] Specifically, the maximum wake deficit coefficient C(x) under this pressure gradient can be calculated using the pressure gradient BP wake model.

[0071] The pressure gradient BP wake model is a wake velocity deficit model based on the assumptions of momentum conservation and Gaussian distribution. This model takes into account the energy loss within the swept area of ​​the wind turbine and the process of the wake extending downstream.

[0072] Specifically, the formula for calculating the maximum wake deficit coefficient C(x) using the pressure gradient BP wake model is as follows:

[0073]

[0074] Step S2012: Update the flow velocity based on the maximum wake loss coefficient to obtain the wake center velocity u when the wake moves along the original streamline. b1 .

[0075] Specifically, the wake center wind speed u when the wake moves along the original streamline. b1 It can be obtained through the following formula:

[0076] u b1 =u b0 (1-C(x))

[0077] Step S202: Based on the wake center wind speed u b1 The location of the first wake center is determined by the vertical wind speed.

[0078] Specifically, step S202 can be achieved through the following steps S2021 to S2022.

[0079] Step S2021: With vertical wind speed w b0 With the wake center wind speed u b1 The ratio is used as the integrand to obtain the height change at the center of the wake.

[0080] Specifically, the change in height z at the center of the wake p The formula for calculating (x) is as follows:

[0081]

[0082] Where, x hub denoted as the center position of the wind turbine rotor, and x represents any position along the rotor's rotation axis.

[0083] Step S2022: Compare the height H of the hub at the location of the wind turbine with the height change z of the wake center. p The sum of (x) is taken as the first wake center position L1(x), and the calculation formula is as follows:

[0084] L1(x) = H + z p (x)

[0085] The above is a further explanation of step S20. Step S30 will be further explained below.

[0086] Specifically, step S30 can be achieved through the following steps S301 to S303.

[0087] Step S301: Determine the center wind speed of the wake when the wake moves along the original streamline based on the flow direction wind speed.

[0088] Specifically, the formula for calculating the maximum wake deficit coefficient C(x) can be obtained first through the pressure gradient BP wake model:

[0089]

[0090] Furthermore, the wake center wind speed u when the wake moves along the original streamline. b1 It can be obtained through the following formula:

[0091] u b1 =u b0 (1-C(x))

[0092] Step S302: Based on the position of the first wake center and the wake center wind speed u b1 The vertical lift distance of the wake induced by the reverse vortex pair is determined by the original streamline L0.

[0093] Specifically, we can first calculate the vertical lift difference velocity Δw between the pre-superimposed streamline L1 and the background streamline L0, then calculate the average value of Δw before the highest point of the pre-superimposed streamline L0, and assume that this value is equal to the average lift velocity of the wake caused by the reverse vortex pair after the highest point of the superimposed streamline L0. From this, we can obtain the vertical lift distance Δz of the wake induced by the reverse vortex pair. CVP .

[0094] Specifically, step S302 can be achieved through the following steps S3021 to S3023.

[0095] Step S3021: Based on the first wake center position L1 and the wake center wind speed u b1 The vertical lift difference velocity Δw(x) is calculated from the original streamline L0.

[0096]

[0097] Step S3022: Calculate the average vertical lift difference velocity of the original streamline L0 before the highest point based on the vertical lift difference velocity.

[0098]

[0099] Where, x Top xt represents the downstream position corresponding to the highest point of the wake center, where xt is any specified downstream position.

[0100] Step S3023: Determine the vertical lift distance of the wake induced by the reverse vortex pair based on the average vertical lift difference velocity and the wake center wind speed.

[0101] The vertical lift distance of the wake induced by the reverse vortex pair refers to the vertical displacement of the wake center relative to its original position caused by the effect of the reverse rotating vortex pair formed behind the wind turbine.

[0102] In one specific embodiment of this application, determining the wake vertical lift distance induced by the reverse vortex pair based on the average vertical lift difference velocity and the wake center wind speed includes: integrating the ratio of the average vertical lift difference velocity to the wake center wind speed as the integrand to obtain the wake vertical lift distance Δz. CVP (x), the specific calculation formula is as follows:

[0103]

[0104] It should be noted that the model assumes the vertical velocity in the wake of the unit is the same as that in the background field. However, this embodiment calculates the difference in vertical lift velocity Δw between the background streamline L0 and the pre-superimposed streamline L1. These two are not contradictory. The formula for the vertical velocities of L0 and L1 being the same is expressed as follows:

[0105]

[0106] The difference between L1(x) and L0(x) on the windward side of the two-dimensional mountain is due to the change in flow velocity leading to a change in dt (dt = dx / u). xThe flow velocity u was used when calculating Δw. b1 For dt1, this is equivalent to converting the difference in flow velocity into the vertical velocity using the same dt1.

[0107] Step S303: Obtain the position of the second wake center based on the vertical lift distance of the wake and the original streamline.

[0108] In one specific embodiment of this application, obtaining the second wake center position based on the wake vertical lift distance and the original streamline includes: calculating the wake vertical lift distance Δz... CVP The sum of (x) and the original streamline L0 is taken as the second wake center position L2(x), and the specific calculation formula is as follows:

[0109] L2(x) = L0 + Δz CVP (x)

[0110] After the above steps, the first wake center position L1(x) and the second wake center position L2(x) can be obtained.

[0111] The above is a further explanation of step S30. Step S40 will be further explained below.

[0112] Specifically, the final wake center of the wind turbine can be represented as:

[0113]

[0114] In this way, by calculating the additional vertical velocity of the wake caused by the additional reverse vortex pair, the position of the wake center is corrected, and the wake center of the wind turbine is obtained with high accuracy.

[0115] In one specific embodiment, the method of this application can be used to calculate the wake center of a wind turbine flowing through a two-dimensional mountain, where the rotor diameter D is 100 and the thrust coefficient C... T The value is 0.66, where the wake radius δ0(x) in flat terrain is as follows: Figure 4 As shown.

[0116] Extract the original streamline L0 at the hub position of the background field and the background wind speed U along the streamline. b0 , with U b0 Using δ(x) and δ0(x) as inputs, the wake center wind speed U is calculated using the pressure gradient wind turbine wake model when the wake moves along the streamline. b1 The result is as follows Figure 5 As shown.

[0117] According to the wake center wind speed U b1 The passive tracer method was used to calculate the directional wind speed deficit, and the vertical lift distance Δz of the wake caused by the constant vertical wind speed was calculated.CVP (x), and obtain the pre-stacked wake centerline L1 (first wake center), the calculated pre-stacked wake center is as follows Figure 6 As shown, compared to directly using the background field streamlines as the wake center, the pre-stacked wake center (first wake center) has higher accuracy. However, on the leeward side of the mountain, the descent velocity of the pre-stacked wake center is greater than that of the unit wake center. This is because the additional vertical velocity caused by the additional reverse vortex pair on the two-dimensional leeward side of the mountain is not considered.

[0118] Assuming the additional vertical velocity caused by the reverse vortex pull behind the mountain is equal to the average uplift velocity in front of the mountain, and calculating the additional uplift distance of the wake behind the mountain based on this velocity, the final two-dimensional wake center of the mountain wind turbine is obtained, as shown in the figure. Figure 7 As shown, the method in this application can predict the rise of the wake center of the wind turbine relative to the background streamlines quite well. However, it can also be seen that the wake center model in this application shows a slight increase compared to the results of large eddy simulation. This may be because the model uses the velocity on the original background streamline as the reference velocity. Since the background streamlines are lower than the wake center, the reference velocity has a smaller directional wind speed and a larger vertical wind speed, which causes the wake center on the windward side of the mountain to rise slightly. However, overall, the model achieves accurate results.

[0119] It should be noted that although the steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effect of this application, different steps do not necessarily have to be executed in such an order. They can be executed simultaneously (in parallel) or in other orders, and these variations are all within the scope of protection of this application.

[0120] Furthermore, this application also provides a wind turbine wake center prediction device.

[0121] See appendix Figure 8 , Figure 8 This is a main structural block diagram of a wind turbine wake center prediction device according to an embodiment of this application.

[0122] like Figure 8 As shown, the wind turbine wake center prediction device in this embodiment mainly includes an acquisition module 11, a first determination module 12, a second determination module 13, and a obtaining module 14. In some embodiments, one or more of the acquisition module 11, the first determination module 12, the second determination module 13, and the obtaining module 14 can be combined into a single module.

[0123] In some embodiments, the acquisition module can be configured to acquire background flow field information at the hub height of the wind turbine, the background flow field information including the original streamlines, the directional wind speed and the vertical wind speed.

[0124] The first determining module 12 can be configured to determine the position of the first wake center based on the directional wind speed and the vertical wind speed.

[0125] The second determining module 13 can be configured to determine the second wake center position based on the first wake center position, the directional wind speed, and the original streamline.

[0126] The obtaining module 14 can be configured to obtain the final wake center of the wind turbine based on the first wake center position and the second wake center position.

[0127] In one implementation, a description of the specific functions can be found in steps S10 to S40.

[0128] The aforementioned wind turbine wake center prediction device is used for execution Figure 1 The wind turbine wake center prediction method embodiments shown are similar in technical principle, the technical problems solved and the technical effects produced. Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process and related instructions of the wind turbine wake center prediction device can be referred to the content described in the embodiments of the wind turbine wake center prediction method, which will not be repeated here.

[0129] Furthermore, it should be understood that since the various modules are only provided to illustrate the functional units of the device described in this application, the physical devices corresponding to these modules may be the processor itself, or a part of the processor's software, hardware, or a combination of both. Therefore, the number of modules shown in the figures is merely illustrative.

[0130] Those skilled in the art will understand that the various modules in the device can be adaptively split or combined. Such splitting or combining of specific modules will not cause the technical solution to deviate from the principles of this application; therefore, the technical solutions after splitting or combining will fall within the protection scope of this application.

[0131] Those skilled in the art will understand that all or part of the processes in the method of the above-described embodiment can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0132] Furthermore, this application also provides an electronic device, which may include at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program, which, when executed by the at least one processor, implements the wind turbine wake center prediction method described in any of the above embodiments. See also Figure 9 As shown, Figure 9 The structure of an electronic device, including a processor 100 and a memory 200, is illustrated by way of example.

[0133] Furthermore, this application also provides a computer-readable storage medium. In one embodiment of the computer-readable storage medium according to this application, the computer-readable storage medium can be configured to store a program that performs the wind turbine wake center prediction method of the above-described method embodiments. This program can be loaded and run by a processor to implement the above-described wind turbine wake center prediction method. For ease of explanation, only the parts related to the embodiments of this application are shown; for specific technical details not disclosed, please refer to the method section of the embodiments of this application. The computer-readable storage medium can be a memory device formed by various electronic devices. Optionally, in the embodiments of this application, the computer-readable storage medium is a non-transitory computer-readable storage medium.

[0134] The technical solution of this application has been described in conjunction with the specific embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. Without departing from the principles of this application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of this application.

Claims

1. A method for predicting the wake center of a wind turbine generator, characterized in that, The method includes: Obtain background flow field information at the hub height of the wind turbine, the background flow field information including the original streamlines, the directional wind speed and the vertical wind speed; Determining the location of the first wake center based on the directional wind speed and vertical wind speed includes: The wake center wind speed is determined based on the flow wind speed; The ratio of the vertical wind speed to the wind speed at the center of the wake is used as the integrand to obtain the change in height at the center of the wake. The sum of the height changes between the hub height at the location of the wind turbine and the height changes at the wake center position is taken as the first wake center position. Determining the second wake center position based on the first wake center position, the directional wind speed, and the original streamline includes: The wake center wind speed is determined based on the flow direction wind speed when the wake moves along the original streamline; The vertical lift distance of the wake induced by the reverse vortex pair is determined based on the first wake center position, the wake center wind speed, and the original streamline. The second wake center position is obtained based on the vertical lift distance of the wake and the original streamline; The final wake center of the wind turbine is obtained based on the first wake center position and the second wake center position.

2. The wind turbine wake center prediction method according to claim 1, characterized in that, The determination of the wake center wind speed when the wake moves along the original streamline based on the flow direction wind speed includes: Obtain the maximum wake defect coefficient under the pressure gradient of the original streamline; The flow velocity is updated based on the maximum wake loss coefficient to obtain the wake center velocity when the wake moves along the original streamline.

3. The wind turbine wake center prediction method according to claim 1, characterized in that, Determining the vertical lift distance of the wake induced by the reverse vortex includes: The vertical lift difference velocity is calculated based on the first wake center position, the wake center wind speed, and the original streamline; The average vertical lift difference velocity of the original streamline before the highest point is calculated based on the vertical lift difference velocity. The vertical lift distance induced by the reverse vortex pair is determined based on the average vertical lift difference velocity and the wake center wind speed.

4. The wind turbine wake center prediction method according to claim 3, characterized in that, The step of determining the vertical lift distance of the wake induced by the reverse vortex pair based on the average vertical lift difference velocity and the wake center wind speed includes: integrating the ratio of the average vertical lift difference velocity to the wake center wind speed as the integrand to obtain the wake vertical lift distance.

5. The wind turbine wake center prediction method according to claim 1, characterized in that, The method of obtaining the second wake center position based on the wake vertical lift distance and the original streamline includes: taking the sum of the wake vertical lift distance and the original streamline as the second wake center position.

6. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; The memory stores a computer program, which, when executed by the at least one processor, implements the wind turbine wake center prediction method according to any one of claims 1 to 5.

7. A computer-readable storage medium storing a plurality of program codes, characterized in that, The program code is adapted to be loaded and run by a processor to perform the wind turbine wake center prediction method according to any one of claims 1 to 5.

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