Method for determining initial width of double-gaussian far-wake, evaluation method, device and medium

Abstract

This application relates to the field of wind power generation technology, specifically providing a method, evaluation method, equipment, and medium for determining the initial width of a double Gaussian far wake, aiming to solve the technical problem that the lateral diffusion error of the wake width at the far wake initiation point obtained by existing methods is significant under yaw conditions. To this end, the method for determining the initial width of a double Gaussian far wake in this application includes: obtaining core parameters for wake calculation; constructing a lateral wake width expansion model, which includes at least the far wake initiation point and the horizontal far wake initiation width; determining the far wake initiation point based on the core parameters for wake calculation; obtaining a yaw correction relationship, which represents the constraint relationship between the horizontal wake width and the vertical wake width; and determining the wake width at the far wake initiation point based on the yaw correction relationship and the far wake initiation point, significantly improving the calculation accuracy of the wake width at the far wake initiation point.

Description

Technical Field

[0001] This invention relates to the field of wind power generation technology, specifically providing a method, evaluation method, equipment, and medium for determining the initial width of a double Gaussian far wake. Background Technology

[0002] The expansion characteristics of the wake directly affect the quality of the incoming flow to downstream wind turbines and the overall power output of the wind farm. Existing double Gaussian wake models mostly use empirical values ​​to determine the wake width at the far wake initiation point. The accuracy of their calculations depends on the experience of engineers, which limits the correct application of the models. Summary of the Invention

[0003] To overcome the aforementioned deficiencies, this application is proposed to provide a solution, or at least a partial solution, to the technical problem that the lateral diffusion error of the wake width at the far wake initiation point obtained by existing methods is significant under yaw conditions. This application provides a method, evaluation method, apparatus, and medium for determining the initial width of a double Gaussian far wake.

[0004] In a first aspect, this application provides a method for determining the initial width of a double Gaussian far wake, characterized in that the method comprises:

[0005] Obtain the core parameters for wake calculation;

[0006] Construct a transverse wake width expansion model, which includes at least the far wake initiation point and the horizontal far wake initiation width;

[0007] The starting point of the far wake is determined based on the core parameters of the wake calculation.

[0008] Obtain the yaw correction relationship, which is used to represent the constraint relationship between the horizontal wake width and the vertical wake width;

[0009] The wake width at the far wake starting point is determined based on the yaw correction relationship and the far wake starting point.

[0010] In one embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the transverse wake width expansion model is: the horizontal wake width is equal to the product of the horizontal wake expansion rate and the difference between the flow direction distance and the distance to the starting point of the far wake, plus the initial width of the horizontal far wake.

[0011] In one embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the core parameters for wake calculation include at least the yaw angle of the wind turbine.

[0012] The yaw correction relationships include: the horizontal wake width is equal to the product of the vertical wake width and the cosine of the yaw angle; the vertical wake expansion rate is equal to the ratio of the horizontal wake expansion rate to the cosine of the yaw angle; and the starting width of the vertical far wake is equal to the ratio of the starting width of the horizontal far wake to the cosine of the yaw angle.

[0013] In one embodiment of the dual-Gaussian far wake initial width determination method of this application, the step of determining the far wake starting point wake width based on the yaw correction relationship and the far wake starting point includes:

[0014] Obtain the wind turbine's velocity deficit function, the downstream velocity deficit at the far wake initiation point, and the wake cross-sectional area at the far wake initiation point;

[0015] A mass conservation equation is constructed based on the mass flow rate at the starting point of the far wake and the downstream mass flow rate.

[0016] Based on the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, the wake cross-sectional area at the wake initiation point, and the constructed mass conservation equation, the wake width at the far wake initiation point is obtained.

[0017] In one embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the step of obtaining the wake width at the far wake starting point based on the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, the wake cross-sectional area at the wake initiation point, and the constructed mass conservation equation includes: substituting the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, and the wake cross-sectional area at the wake initiation point into the mass conservation equation to solve for the wake width at the far wake initiation point, based on the fact that the radial position of the point with the maximum horizontal speed deficit is constant throughout the wake, and that at the far wake initiation point, the horizontal wake width is equal to the radial position of the point with the maximum speed deficit at the far wake initiation point.

[0018] The method for determining the initial width of a double Gaussian far wake in this application is characterized in that the method further includes:

[0019] Large eddy simulation calculations were performed based on the wake width at the far wake initiation point and the core parameters of the wake calculation to obtain the simulation results.

[0020] The wake width at the far wake initiation point is corrected based on the simulation results.

[0021] In one embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the core parameters for wake calculation include the yaw angle of the wind turbine, the rotor diameter, the thrust coefficient, and the inflow turbulence intensity.

[0022] The determination of the far wake starting point based on the core parameters of the wake calculation includes: determining the far wake starting point according to the yaw angle, rotor diameter, thrust coefficient, and inflow turbulence intensity of the wind turbine.

[0023] In a second aspect, a method for assessing wake velocity loss in wind turbine generators is provided, the method comprising:

[0024] The wake width at the starting point of the far wake is obtained according to the aforementioned method for determining the initial width of the double Gaussian far wake.

[0025] The wake velocity loss of the wind turbine is evaluated based on the wake width at the far wake initiation point.

[0026] In a third aspect, an electronic device is provided, comprising:

[0027] At least one processor;

[0028] And, a memory communicatively connected to the at least one processor;

[0029] The memory stores a computer program, which, when executed by the at least one processor, is the aforementioned method for determining the initial width of the double Gaussian far wake or the method for assessing the wake velocity loss of a wind turbine.

[0030] In a fourth 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 method for determining the initial width of a double Gaussian far wake or the method for assessing the wake velocity loss of a wind turbine as described in any of the preceding claims.

[0031] The above-described technical solutions of this application have at least one or more of the following beneficial effects:

[0032] The method for determining the initial width of the dual-Gaussian far wake in this application includes: obtaining the core parameters for wake calculation; constructing a transverse wake width expansion model, which includes at least the far wake initiation point and the horizontal far wake initiation width; determining the far wake initiation point based on the core parameters for wake calculation; obtaining the yaw correction relationship, which represents the constraint relationship between the horizontal wake width and the vertical wake width; and determining the wake width at the far wake initiation point based on the yaw correction relationship and the far wake initiation point. This method effectively avoids the calculation errors caused by traditional methods neglecting yaw effects or lacking a clear starting reference, significantly improving the accuracy of the wake width calculation at the far wake initiation point, and thus providing more reliable basic data support for subsequent wake velocity loss prediction. Attached Figure Description

[0033] 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:

[0034] Figure 1 This is a schematic diagram of the main process of determining the initial width of a double Gaussian far wake in one embodiment of this application;

[0035] Figure 2 This is a schematic diagram illustrating the variation of horizontal wake width with flow direction distance in one embodiment of this application;

[0036] Figure 3 This is a schematic diagram of the velocity distribution in the horizontal and vertical planes from the near wake to the far wake region under different yaw angles in a large eddy simulation of one embodiment of this application;

[0037] Figure 4 This is a schematic diagram illustrating the change in the radial position of the velocity minimum point with the flow direction distance in one embodiment of this application;

[0038] Figure 5 This is a schematic diagram of the results of the wake width, radial position of the velocity minimum point, wake width at the horizontal far wake initiation point and the corrected horizontal far wake initiation width simulated in a large eddy simulation in one embodiment of this application.

[0039] Figure 6 This is a schematic diagram of the simulation results of the double Gaussian wake model and the large eddy simulation under the same working conditions in one embodiment of this application;

[0040] Figure 7 This is a schematic diagram of the main structure of the dual-Gaussian far wake initial width determination device in one embodiment of this application;

[0041] Figure 8 This is a schematic diagram of the structure of an electronic device in one embodiment of this application. Detailed Implementation

[0042] 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.

[0043] 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.

[0044] Current traditional wake models are mostly based on empirical formulas (such as the Jensen and Bastankhah models). However, the wake width at the far wake initiation point obtained by this method has significant lateral diffusion errors under yaw conditions, which cannot meet practical requirements. To address this, this application proposes a method for determining the initial width of a double Gaussian far wake, an evaluation method, equipment, and a medium.

[0045] See appendix Figure 1 , Figure 1 This is a schematic flowchart of the main steps of a method for determining the initial width of a dual Gaussian far wake according to an embodiment of this application.

[0046] like Figure 1 As shown, the method for determining the initial width of the double Gaussian far wake in this embodiment mainly includes the following steps S10-S50.

[0047] Step S10: Obtain the core parameters for wake calculation.

[0048] The core parameters for wake calculation include the wind turbine thrust coefficient. Wind turbine diameter Inflow velocity Inflow turbulence intensity yaw angle of wind turbine Specifically, the thrust coefficient of a wind turbine can be directly obtained from its lidar or SCADA system. Wind turbine diameter Inflow wind speed Inflow turbulence intensity Information such as the yaw angle of the wind turbine. .

[0049] Step S20: Construct a transverse wake width expansion model, wherein the transverse wake width expansion model includes at least the far wake initiation point and the horizontal far wake initiation width.

[0050] The far wake starting point refers to the point downstream of the wind turbine where the wake transitions from the near wake region to the far wake region.

[0051] The horizontal far wake initiation width refers to the Gaussian standard deviation used to describe the horizontal spread of the wake at the far wake initiation point.

[0052] Step S30: Determine the far wake starting point based on the core wake calculation parameters.

[0053] Step S40: Obtain the yaw correction relationship, which is used to represent the constraint relationship between the horizontal wake width and the vertical wake width.

[0054] Step S50: Determine the wake width at the far wake starting point based on the yaw correction relationship and the far wake starting point.

[0055] Based on steps S10-S50 above, the core parameters for wake calculation are first obtained; a transverse wake width expansion model is constructed, which includes at least the far wake initiation point and the horizontal far wake initiation width; the far wake initiation point is determined based on the core wake calculation parameters; the yaw correction relationship is obtained, which represents the constraint relationship between the horizontal and vertical wake widths; and the wake width at the far wake initiation point is determined based on the yaw correction relationship and the far wake initiation point. This effectively avoids the calculation errors caused by traditional methods ignoring yaw effects or lacking a clear starting reference, significantly improving the calculation accuracy of the wake width at the far wake initiation point, and thus providing more reliable basic data support for subsequent wake velocity loss prediction.

[0056] The following provides further explanation of steps S20 to S50.

[0057] Regarding step S20 above, in a specific embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the transverse wake width expansion model is: the horizontal wake width is equal to the product of the horizontal wake expansion rate and the difference between the flow direction distance and the starting point of the far wake, plus the initial width of the horizontal far wake.

[0058] Specifically, through attachment Figure 2 The large eddy simulation results show that the width of the far wake changes approximately linearly with the flow direction distance. Based on this, a transverse wake width expansion model is established as follows:

[0059]

[0060] in, The width of the horizontal wake. The horizontal wake initiation width, The horizontal wake expansion rate, For flow direction distance, This is the starting point of the far wake.

[0061] The above is a further explanation of step S20. Step S30 will be further explained below.

[0062] For step S30 above, the core parameters for wake calculation include the yaw angle of the wind turbine, the rotor diameter, the thrust coefficient, and the inflow turbulence intensity; determining the far wake starting point based on the core parameters for wake calculation includes: determining the far wake starting point according to the yaw angle of the wind turbine, the rotor diameter, the thrust coefficient, and the inflow turbulence intensity.

[0063] Specifically, based on the research results of Bastankhah and Port-Agel, the formula for calculating the far wake initiation point is as follows:

[0064] in, The starting point of the far wake. The diameter of the wind turbine, Yaw angle For thrust coefficient, The inflow turbulence intensity is denoted as .

[0065] The above is a further explanation of step S30. Step S40 will be further explained below.

[0066] Regarding step S40 above, the method for determining the initial width of the double Gaussian far wake in this application is characterized in that the core parameters for wake calculation include at least the yaw angle of the wind turbine; the yaw correction relationship includes: the horizontal wake width is equal to the product of the vertical wake width and the cosine of the yaw angle; the vertical wake expansion rate is equal to the ratio of the horizontal wake expansion rate to the cosine of the yaw angle; and the initial width of the vertical far wake is equal to the ratio of the initial width of the horizontal far wake to the cosine of the yaw angle.

[0067] Specifically, through Figure 3 It can be observed that under yaw conditions, the projected area of ​​the rotor in the horizontal direction decreases, resulting in an approximately elliptical turbine wake in both the horizontal and vertical planes. Based on this observation, the width of the horizontal wake can be determined. Equal to vertical wake width With the cosine of the yaw angle The product of, that is:

[0068] Therefore, the distribution of the vertical wake width can be obtained as follows:

[0069] Among them, the vertical wake expansion rate Equal to the horizontal wake expansion rate With the cosine of the yaw angle The ratio, i.e. Vertical wake initiation width Equal to the horizontal far wake starting width With the cosine of the yaw angle The ratio, i.e. .

[0070] The above is a further explanation of step S40. Step S50 will be further explained below.

[0071] Specifically, step S50 can be implemented through the following steps S501 to S503.

[0072] Step S501: Obtain the wind turbine's velocity deficit function, the downstream velocity deficit at the far wake initiation point, and the wake cross-sectional area at the far wake initiation point.

[0073] Specifically, considering the reduction in rotor projected area under yaw, the wake is elliptical in both the horizontal and vertical planes. Therefore, a double Gaussian wake model can be derived. The double Gaussian wake model can be represented by the speed deficit function of the wind turbine, as shown in the following formula:

[0074] in, For the wake velocity loss of the wind turbine, For the incoming wind speed, For the amplitude function of the double Gaussian wake model, The shape function of the double Gaussian wake model; It is the spatial integral term of the double Gaussian shape function; It is a weighted integral term of the double Gaussian shape function and radial distance, where

[0075] , and These represent the wake widths in the horizontal and vertical directions, respectively. This is the offset of the wake center; Wheel hub height; This represents the radial position of the point where the velocity is at its minimum.

[0076] Based on the one-dimensional momentum theory of yaw fans, and assuming that the wake velocity deficit has a top-hat distribution, the downstream velocity deficit at the far wake initiation can be expressed as:

[0077] in, It is the downstream velocity deficit at the beginning of the far wake.

[0078] The cross-sectional area at the far wake initiation point can be expressed as:

[0079] in, It is the cross-sectional area of ​​the wake at the far wake initiation point. It is the effective projected area of ​​the wind turbine. It is the effective downstream wind speed at the rotor's plane of rotation under yaw conditions. It is the speed of the undisturbed free-flowing wind upstream of the wind turbine. It is an axial inducing factor.

[0080] We can obtain the following from the above formula (7):

[0081] Step S502: Construct a mass conservation equation based on the mass flow rate at the starting point of the far wake and the downstream mass flow rate.

[0082] Specifically, according to the law of conservation of mass, the mass flow rate at the far wake initiation point is the same as the downstream mass flow rate. Therefore, the following mass conservation equation can be constructed:

[0083] in, for Loss of speed, for The cross-sectional area of ​​the wake at that point.

[0084] Step S503: Based on the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, the wake cross-sectional area at the wake initiation point, and the constructed mass conservation equation, obtain the wake width at the far wake initiation point.

[0085] In one specific embodiment of the method for determining the initial width of the double Gaussian far wake in this application, the step of obtaining the wake width at the far wake starting point based on the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, the wake cross-sectional area at the wake initiation point, and the constructed mass conservation equation includes: substituting the yaw correction relationship, the wind turbine speed deficit function, the downstream speed deficit at the far wake initiation point, and the wake cross-sectional area at the wake initiation point into the mass conservation equation to solve for the wake width at the far wake initiation point, based on the fact that the radial position of the point with the maximum horizontal speed deficit is constant throughout the wake, and that at the far wake initiation point, the horizontal wake width is equal to the radial position of the point with the maximum speed deficit at the far wake initiation point.

[0086] Specifically, combined Figure 4 Comparing the results of eight large eddy simulation examples, to simplify the calculation process, we assume the radial position of the point where the horizontal velocity deficit reaches its maximum in the entire wake. It is a constant value, and it is assumed that... The radial position where the horizontal wake width is equal to the point of maximum velocity deficit at the far wake initiation point, i.e. = .

[0087] Substituting formulas (5), (6), and (8) into formula (9) and integrating, we can obtain:

[0088] Combined with the radial position of the point where the horizontal velocity deficit is at its maximum in the entire wake It is a constant value, in The radial position of the point where the horizontal wake width equals the maximum velocity loss at the far wake initiation point, and the yaw correction relationship, to eliminate... , , The initial wake width of the horizontal far wake is obtained as follows:

[0089] In this way, a horizontal far-wake initiation wake width with a small accuracy error was obtained.

[0090] In one specific embodiment of the method for determining the initial width of a double Gaussian far wake in this application, the method further includes: performing large eddy simulation calculations based on the wake width at the far wake initiation point and the core parameters of the wake calculation to obtain simulation results; and correcting the wake width at the far wake initiation point based on the simulation results.

[0091] Specifically, multiple sets of core wake calculation parameters are collected, and these core wake calculation parameters are substituted into the expression (11) of the wake width at the far wake starting point for large eddy simulation calculation to obtain the simulation results. Figure 5 This is a schematic diagram showing the results of a large eddy simulation (LES) in one embodiment of this application, including the wake width, radial position of the velocity minimum point, a transverse wake width expansion model, and a transverse wake width expansion model with a corrected horizontal far-starting wake width. Comparing the transverse wake width expansion model with the wake width simulated in the LES, it is found that the trend of the transverse wake width expansion model matches the wake width simulated in the LES, but the overall value is lower than the LES result. To improve prediction accuracy, the wake width at the far-starting wake is corrected, thus obtaining the corrected far-starting wake width, which can be expressed as:

[0092] In this way, a highly accurate wake width at the far wake initiation point is obtained, which is beneficial to improving the accuracy of wake velocity loss assessment for wind turbine units.

[0093] In one embodiment, the double Gaussian wake model and large eddy simulation are verified by setting the operating conditions shown in Table 1 below, where the simulation results are as follows: Figure 6 As shown, Figure 6 The left side shows the results of Large Eddy Simulation (LES), and the right side shows the results of the double Gaussian wake model. It can be seen that the two are basically in agreement, indicating that the double Gaussian wake model of this application has high accuracy.

[0094] Table 1

[0095] Operating conditions Tip speed ratio Roughness (m) Turbulence intensity Inflow velocity (m / s) Thrust coefficient A1 6.0 0.01 0.085 9.82 0.613 A2 8.0 0.01 0.081 9.67 0.783 B1 6.5 0.1 0.103 10.01 0.659 B2 7.5 0.1 0.102 9.92 0.741

[0096] Furthermore, this application also provides a method for assessing the wake velocity loss of a wind turbine, which can be implemented through the following steps S100-S200.

[0097] Step S100: Obtain the wake width at the starting point of the far wake according to the aforementioned method for determining the initial width of the double Gaussian far wake.

[0098] Specifically, the wake width at the far wake starting point can be determined through the aforementioned steps S10 to S50, which will not be elaborated here.

[0099] Step S200: Evaluate the wake velocity loss of the wind turbine based on the wake width at the far wake starting point.

[0100] Specifically, the horizontal wake expansion rate By analyzing the curve of horizontal wake width versus flow direction distance (e.g.) Figure 2 The result is obtained by fitting (as shown). For example, 0.0209 can be used as... Example. By substituting the horizontal wake expansion rate, the wake width at the far wake initiation point, and the far wake initiation point into the transverse wake width expansion model in formula (1), the horizontal wake width at any far wake location can be calculated. . It is the magnitude function in the velocity loss function. The core input parameters, The larger the value, the wider the wake spreads, and the smaller the wake velocity loss intensity per unit area, and vice versa.

[0101] Assessing the wake velocity loss of wind turbines by evaluating the wake width at the far wake initiation point can accurately quantify the wake diffusion scale at the far wake initiation stage. This not only accurately captures the spatial distribution trend of wake velocity loss under complex operating conditions such as yaw, but also significantly improves the accuracy of wake velocity loss prediction through verification and correction with large eddy simulation results. This provides a reliable quantitative basis for engineering applications such as wind farm turbine layout optimization and power loss assessment caused by wake interference, effectively supporting the efficient design and operation of wind farms.

[0102] 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.

[0103] Furthermore, this application also provides a device for determining the initial width of a dual Gaussian far wake.

[0104] See appendix Figure 7 , Figure 7 This is a main structural block diagram of a dual Gaussian far wake initial width determination device according to an embodiment of this application.

[0105] like Figure 7 As shown, the dual-Gaussian far wake initial width determination device in this embodiment mainly includes a first acquisition module 11, a construction module 12, a first determination module 13, a second acquisition module 14, and a second determination module 15. In some embodiments, one or more of the first acquisition module 11, construction module 12, first determination module 13, second acquisition module 14, and second determination module 15 can be combined into a single module.

[0106] In some embodiments, the first acquisition module 11 can be configured to acquire the core parameters for wake calculation.

[0107] The building module 12 can be configured to build a lateral wake width expansion model, which includes at least the horizontal far wake initiation point and the horizontal far wake initiation wake width.

[0108] The first determining module 13 can be configured to determine the starting point of the horizontal far wake based on the wake calculation core parameters.

[0109] The second acquisition module 14 can be configured to acquire a yaw correction relationship, which is used to represent the constraint relationship between the horizontal wake width and the vertical wake width.

[0110] The second determining module 15 can be configured to determine the horizontal far wake starting wake width based on the yaw correction relationship and the horizontal far wake starting point.

[0111] In one implementation, the specific function can be described in steps S10-S50.

[0112] The aforementioned dual-Gaussian far wake initial width determination device is used for performing Figure 1 The methods for determining the initial width of the double Gaussian far wake, or the embodiments for evaluating the wake velocity loss of wind turbines, shown are similar in their technical principles, the technical problems they solve, and the technical effects they produce. Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the device for determining the initial width of the double Gaussian far wake can be found in the embodiments of the methods for determining the initial width of the double Gaussian far wake or the embodiments for evaluating the wake velocity loss of wind turbines, and will not be repeated here.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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, and when the computer program is executed by the at least one processor, it implements the method for determining the initial width of the double Gaussian far wake as described in any of the above embodiments, or the method for evaluating the wake velocity loss of a wind turbine. See also Figure 8 As shown, Figure 8 The structure of an electronic device, including a processor 100 and a memory 200, is illustrated by way of example.

[0117] 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 for performing the double Gaussian far wake initial width determination method or the wind turbine wake velocity loss assessment method of the above-described method embodiments. This program can be loaded and run by a processor to implement the above-described double Gaussian far wake initial width determination method or the wind turbine wake velocity loss assessment 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 comprising various electronic devices. Optionally, in the embodiments of this application, the computer-readable storage medium is a non-transitory computer-readable storage medium.

[0118] 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 determining the initial width of a double Gaussian far wake, characterized in that, The method includes: The core parameters for wake calculation are obtained, including the yaw angle, rotor diameter, thrust coefficient, and inflow turbulence intensity of the wind turbine. A transverse wake width expansion model is constructed, which includes at least the far wake initiation point and the horizontal far wake initiation wake width. The starting point of the far wake is determined based on the core parameters of the wake calculation. Obtain the yaw correction relationship, which is used to represent the constraint relationship between the horizontal wake width and the vertical wake width; Determining the horizontal far wake initiation width based on the yaw correction relationship and the far wake initiation point includes: Obtain the wind turbine's velocity deficit function, the downstream velocity deficit at the far wake initiation point, and the wake cross-sectional area at the far wake initiation point; A mass conservation equation is constructed based on the mass flow rate at the starting point of the far wake and the downstream mass flow rate. Based on the fact that the radial position of the point of maximum horizontal velocity deficit is constant throughout the wake, and that the width of the initial wake at the far wake starting point is equal to the radial position of the point of maximum velocity deficit at the far wake starting point, the yaw correction relationship, the wind turbine velocity deficit function, the downstream velocity deficit at the far wake starting point, and the wake cross-sectional area at the wake starting point are substituted into the mass conservation equation for solution to obtain the width of the initial horizontal far wake.

2. The method for determining the initial width of a double Gaussian far wake according to claim 1, characterized in that, The lateral wake width expansion model is as follows: the horizontal wake width is equal to the product of the horizontal wake expansion rate and the difference between the flow direction distance and the distance between the starting point of the far wake, plus the horizontal far wake starting wake width.

3. The method for determining the initial width of a double Gaussian far wake according to claim 2, characterized in that, The yaw correction relationships include: the horizontal wake width is equal to the product of the vertical wake width and the cosine of the yaw angle; the vertical wake expansion rate is equal to the ratio of the horizontal wake expansion rate to the cosine of the yaw angle; and the starting wake width of the vertical far wake is equal to the ratio of the starting wake width of the horizontal far wake to the cosine of the yaw angle.

4. The method for determining the initial width of a double Gaussian far wake according to claim 1, characterized in that, The method further includes: Large eddy simulation calculations were performed based on the horizontal far wake initiation wake width and the core wake calculation parameters to obtain simulation results. The starting wake width of the horizontal far wake is corrected based on the simulation calculation results.

5. The method for determining the initial width of a double Gaussian far wake according to claim 1, characterized in that, The determination of the far wake starting point based on the core parameters of the wake calculation includes: determining the far wake starting point according to the yaw angle, rotor diameter, thrust coefficient and inflow turbulence intensity of the wind turbine.

6. A method for assessing wake velocity loss in wind turbine generators, characterized in that, The method includes: The method for determining the initial width of a dual-Gaussian far wake according to any one of claims 1-5 obtains the initial wake width of a horizontal far wake; The wake velocity loss of the wind turbine is evaluated based on the horizontal far wake initiation wake width.

7. 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 method for determining the initial width of the double Gaussian far wake as described in any one of claims 1 to 5, or the method for evaluating the wake velocity loss of a wind turbine as described in claim 6.

8. 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 method for determining the initial width of the double Gaussian far wake as described in any one of claims 1 to 5, or the method for evaluating the wake velocity loss of a wind turbine as described in claim 6.

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