A method and related apparatus for modeling equivalent wind speed considering wind shear and tower shadow effects

Abstract

This application discloses an equivalent wind speed modeling method and related apparatus that considers wind shear and tower shadow effects. The method introduces frequency characteristic correction based on the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effects, which effectively improves the strong dependence of the equivalent wind speed model on model parameters. Then, the final equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed, which improves the accuracy of the equivalent wind speed model in characterizing the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helps to promote wind power technology research oriented towards electrical characteristic analysis and control.

Description

Technical Field

[0001] This invention pertains to wind turbine modeling technology, and particularly relates to an equivalent wind speed modeling method and related apparatus that considers wind shear and tower shadow effects. Background Technology

[0002] Wind power generation, as an important component of clean and renewable energy, has been widely applied in recent years. In wind power systems, wind speed is a key factor affecting the output power, aerodynamic loads, and control strategies of wind turbines. In actual operation, due to factors such as terrain, weather, and wind field non-uniformity, wind speed often exhibits complex spatial variation characteristics, especially within the rotor height range of the wind turbine, where significant wind shear exists. Simultaneously, due to the mutual shielding effect between the rotor and the tower, the blades are also subject to periodic disturbances from the tower shadow during rotation. These factors combined result in significant temporal and spatial non-uniformity of the aerodynamic loads on the blades, thus affecting the overall performance evaluation, load calculation, and control strategy design.

[0003] Wind shear refers to the wind speed gradient caused by changes in vertical height, and is one of the main sources of non-uniform wind speed distribution within the swept surface of the wind turbine. The tower shadow effect refers to the sudden change in aerodynamic force experienced by the wind turbine blades at that location when they pass through the leeward area of ​​the tower during rotation, due to the interference of the tower with the airflow.

[0004] To more accurately assess the operating status of wind turbines and improve the physical realism of modeling, the academic and industrial communities have gradually proposed the concept of "equivalent wind speed modeling." This concept aims to map the complex load effects generated by non-uniform wind speed fields (including wind shear, tower shadows, and other factors) to a certain equivalent wind speed, so that subsequent aerodynamic load analysis, control system design, or power prediction can be simplified to a standard calculation model under an equivalent uniform wind field.

[0005] However, most existing equivalent wind speed modeling methods fail to fully couple the dynamic interaction between wind shear and tower shadow effect, lack refined modeling of the spatiotemporal distribution of wind speed, or have high requirements for parameter accuracy. Under inaccurate model parameters, the time / frequency domain characteristics of output power are prone to not matching reality. Summary of the Invention

[0006] Based on this, the present invention aims to propose an equivalent wind speed modeling method and related device that considers wind shear and tower shadow effects. It introduces a frequency domain characteristic reshaping step on the basis of the existing equivalent wind speed model, which effectively improves the strong dependence of the equivalent wind speed model on the model parameters and solves the problem of insufficient accuracy of the equivalent wind speed model under inaccurate model parameters.

[0007] In a first aspect, the present invention provides an equivalent wind speed modeling method considering wind shear and tower shadow effects, comprising:

[0008] Determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering the tower shadow effect;

[0009] The frequency response is corrected based on the first and second equivalent wind speeds to obtain the corrected wind speed.

[0010] The equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed.

[0011] Furthermore, the first equivalent wind speed considering wind shear includes:

[0012] A first equivalent wind speed model considering wind shear is established based on the wind shear index and wind turbine parameters.

[0013] The first equivalent wind speed is calculated using the first equivalent wind speed model.

[0014] Furthermore, the first equivalent wind speed model is expressed as:

[0015] ,

[0016] in, This indicates the first equivalent wind speed. The wind shear index. The radius of the wind turbine; The rotation angle of the wind turbine. This refers to the wheel hub height.

[0017] Furthermore, the second equivalent wind speed, taking into account the tower shadow effect, includes:

[0018] A second equivalent wind speed model considering the tower shadow effect is established based on the wind turbine parameters;

[0019] The second equivalent wind speed is calculated using the second equivalent wind speed model.

[0020] Furthermore, the second equivalent wind speed model is expressed as:

[0021] ,

[0022] in, This indicates the second equivalent wind speed. , The diameter of the tower is [missing information]. The distance from the wind turbine to the center point of the tower. The radius of the wind turbine; The rotation angle of the wind turbine. This refers to the wheel hub height.

[0023] Furthermore, frequency response corrections are performed based on the first and second equivalent wind speeds to obtain the corrected wind speeds, including:

[0024] The correction transfer function for frequency characteristic correction is determined based on the characteristic frequency;

[0025] The frequency characteristics of the first and second equivalent wind speeds are corrected using the modified transfer function to obtain the corrected wind speed.

[0026] Furthermore, the frequency characteristics of the first and second equivalent wind speeds are corrected using the modified transfer function, resulting in the corrected wind speeds, including:

[0027] ,

[0028] in, Indicates corrected wind speed. This indicates a modified transfer function. Indicates the inflow wind speed. and These represent the first equivalent wind speed and the second equivalent wind speed, respectively.

[0029] Furthermore, the modified transfer function is expressed as:

[0030] ,

[0031] in, Represents characteristic frequency, Indicates the damping ratio. This represents the Laplace differential operator.

[0032] Furthermore, the equivalent improved wind speed calculated based on the corrected wind speed and the inflow wind speed includes:

[0033] The equivalent improved wind speed is obtained by summing the corrected wind speed and the inflow wind speed.

[0034] Secondly, the present invention provides an equivalent wind speed modeling device that considers wind shear and tower shadow effects, comprising:

[0035] The wind speed equivalence module is used to determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering the tower shadow effect;

[0036] The wind speed correction module is used to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed.

[0037] The wind speed improvement module is used to calculate the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed.

[0038] Thirdly, the present invention provides an electronic device including a memory storing computer-executable instructions and a processor, wherein when the computer-executable instructions are executed by the processor, the device performs the steps of the equivalent wind speed modeling method considering wind shear and tower shadow effects provided in the first aspect.

[0039] Fourthly, the present invention provides a readable storage medium storing a computer-executable program that, when executed, can implement the various steps of the equivalent wind speed modeling method considering wind shear and tower shadow effects provided in the first aspect.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] This invention proposes an equivalent wind speed modeling method and related apparatus that considers wind shear and tower shadow effects. The method introduces frequency characteristic correction based on the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effects, which effectively improves the strong dependence of the equivalent wind speed model on model parameters. Then, the final equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed, which improves the accuracy of the equivalent wind speed model in characterizing the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helps to promote wind power technology research oriented towards electrical characteristic analysis and control. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 A flowchart illustrating the implementation of an equivalent wind speed modeling method considering wind shear and tower shadow effects, as provided in an embodiment of the present invention.

[0044] Figure 2 Flowchart of an equivalent wind speed modeling method considering wind shear and tower shadow effect provided in another embodiment of the present invention;

[0045] Figure 3 This diagram illustrates the comparison between the power and rotational speed calculated using the wind speed output from the existing equivalent wind speed model and the simulation results.

[0046] Figure 4 To Figure 3 A schematic diagram showing the comparison after performing a fast Fourier transform on the power.

[0047] Figure 5 This is a schematic diagram comparing the power calculated using the equivalent improved wind speed output of this invention with the simulation calculation results across the entire wind speed range.

[0048] Figure 6 To Figure 5 A schematic diagram showing the comparison of power after fast Fourier transform at a wind speed of 8 m / s;

[0049] Figure 7 A schematic diagram of an equivalent wind speed modeling device considering wind shear and tower shadow effect provided in an embodiment of the present invention;

[0050] Figure 8 This is an electronic device architecture diagram provided for an embodiment of the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] See Figure 1 One embodiment of the present invention provides an equivalent wind speed modeling method considering wind shear and tower shadow effects, comprising the following steps:

[0053] Step S110. Determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effect.

[0054] This step simulates the wind characteristics of the wind turbine in a non-uniform wind field, accurately reflecting the influence of wind shear and tower shadow effect on the non-uniform modulation of wind speed in different areas of the wind turbine. Based on the wind field profile structure and tower-wheel spatial coupling effect in the area where the wind turbine is located, the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effect are calculated respectively.

[0055] Furthermore, determining the first equivalent wind speed considering wind shear includes the following steps:

[0056] Step S111. Establish a first equivalent wind speed model considering wind shear based on the wind shear index and wind turbine parameters.

[0057] Step S112. Calculate the first equivalent wind speed using the first equivalent wind speed model.

[0058] Specifically, wind shear refers to the phenomenon where wind speed varies with altitude, often caused by factors such as surface roughness and uneven thermal distribution. The wind turbine blades are positioned at different altitudes, resulting in periodic changes in wind speed as they rotate. This embodiment uses a power-law wind profile model, and the first equivalent wind speed model is expressed as:

[0059]

[0060] in, This indicates the first equivalent wind speed. The wind shear index. The radius of the wind turbine; The rotation angle of the wind turbine. This refers to the wheel hub height.

[0061] Furthermore, determining the second equivalent wind speed, taking into account the tower shadow effect, includes the following steps:

[0062] Step S113. Establish a second equivalent wind speed model considering the tower shadow effect based on the wind turbine parameters.

[0063] Step S114. Calculate the second equivalent wind speed using the second equivalent wind speed model.

[0064] The tower shadow effect occurs when wind turbine blades pass beneath a tower, causing obstruction and disturbance due to the airflow around the tower. This results in a temporary decrease in wind speed and an increase in turbulence, typically a periodic disturbance. The tower diameter and the airflow characteristics around the tower jointly influence the local wind speed, thus creating this periodic disturbance.

[0065] Furthermore, since the tower shadow effect only affects the dynamics of the lower half-plane of the wind turbine, in the process of modeling the equivalent wind speed model considering the tower shadow effect, starting from the point where the blades are at their highest point, the inflow wind speed is only corrected when the wind turbine rotation angle is within the range of (90°, 270°). Therefore, the second equivalent wind speed model can be represented by the following piecewise function:

[0066]

[0067] in, This indicates the second equivalent wind speed. , The diameter of the tower is [missing information]. The distance from the wind turbine to the center point of the tower. The radius of the wind turbine; The rotation angle of the wind turbine. This refers to the wheel hub height.

[0068] Step S120. Based on the first equivalent wind speed and the second equivalent wind speed, the frequency characteristics are corrected to obtain the corrected wind speed.

[0069] This step essentially uses a filtering function to adjust the signal spectrum structure, constructing a corrector with filtering and response reshaping capabilities. It compensates for and reconstructs the non-uniform wind speed of the original input wind farm in the frequency domain, enhancing the accuracy of response to key disturbance frequencies.

[0070] Wind speed signals typically include multiple disturbance frequency components, such as the 1P frequency dominated by wind shear (one disturbance per revolution), the 3P frequency affected by the tower shadow effect (three disturbances per revolution for three blades), and high-frequency turbulence and measurement noise.

[0071] Further, step S120 includes the following steps:

[0072] Step S121. Determine the correction transfer function for frequency characteristic correction based on the characteristic frequency.

[0073] Step S122. Use the modified transfer function to correct the frequency characteristics of the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed.

[0074] Specifically, after fusing the first and second equivalent wind speeds, the frequency distribution is reshaped using a modified transfer function to construct the modified wind speed. The modified transfer function is a second-order transfer function with characteristic frequency and damping ratio, expressed as follows:

[0075]

[0076] in, Represents characteristic frequency, Indicates the damping ratio. This represents the Laplace differential operator.

[0077] A modified transfer function for frequency response reshaping is introduced, specifically to reshape the high-frequency characteristics of existing equivalent wind speed models. Specifically, the sum of the first and second equivalent wind speeds is first calculated, then multiplied by the inflow wind speed, and finally the modified transfer function is applied. The correction process is as follows:

[0078]

[0079] in, Indicates corrected wind speed. This indicates a modified transfer function. Indicates the inflow wind speed. and These represent the first equivalent wind speed and the second equivalent wind speed, respectively.

[0080] Step S130. Calculate the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed.

[0081] In this step, the corrected wind speed signal is fused with the original inflow wind speed to obtain an equivalent improved wind speed that more accurately reflects the effective wind characteristics of the wind turbine. The equivalent improved wind speed is a hybrid wind speed signal that combines the actual wind speed measurement and the physical correction results, which retains the actual inflow characteristics and also includes information on the tower structure disturbance.

[0082] Generally, equivalent improved wind speeds can be constructed through weighted fusion or compensation superposition. The weights in the weighted fusion method can be dynamically adjusted based on historical wind conditions, tower structure parameters, or learning algorithms, while compensation superposition involves physical compensation based on explicitly retaining the original measurement data.

[0083] Furthermore, in this embodiment of the invention, a compensation superposition method is used to sum the corrected wind speed and the inflow wind speed to calculate the equivalent improved wind speed, as shown below:

[0084]

[0085] in, Indicates the equivalent improved wind speed. Indicates corrected wind speed. Indicates the inflow wind speed.

[0086] Figure 2 The illustration shows the modeling process provided by the embodiments of the present invention. By correcting the frequency domain characteristics, the system can explicitly focus on the target frequency, such as improving the modeling quality of key frequency bands in wind power prediction or pitch control, and suppressing non-target frequency interference.

[0087] Furthermore, to illustrate the difference between the equivalent wind speed output by the existing equivalent wind speed model and the simulation model results under non-precise parameter conditions, the following explanation is provided by comparing the simulation results with the output of the equivalent wind speed model considering a single effect.

[0088] To ensure accuracy, equivalent wind speed models that only consider a single effect require precise knowledge of parameters such as wind shear index, rotor radius, hub height, tower diameter, distance between rotor and tower center point, and rotor rotation angle. However, in practical applications, some of these parameters are difficult to obtain or can only be estimated, making it difficult for equivalent wind speed models that consider a single effect to accurately match actual engineering results or simulation results obtained from internationally recognized simulation software.

[0089] Figure 3 and 4 The difference between the power unit speed calculated from the output wind speed of the existing equivalent wind speed model under non-precise parameter conditions and the simulation results of the simulation model was compared. Figure 3 The diagram illustrates the comparison between the existing equivalent wind speed model and the simulation model in terms of unit power and speed response. Because the existing equivalent wind speed model uses estimated values ​​of parameters, the power and speed calculated using the output wind speed of the equivalent model are significantly different from the simulation results. Figure 4 The indication is to Figure 3 The results of the fast Fourier transform of the power show that, due to the inaccuracy of the model parameters, the power calculated by the equivalent model is 6 times or more greater than the power calculated by the simulation model, and the amplitude of the blade rotation frequency component is significantly increased.

[0090] The time-domain simulation results obtained after correcting and improving the initial equivalent wind speed using the equivalent wind speed modeling method proposed in this invention are shown in the appendix. Figure 5 As shown. From Figure 5It can be seen that the power calculated from the wind speed output by the equivalent wind speed modeling method proposed in this invention is in good agreement with the simulation results across the entire wind speed range.

[0091] Furthermore, Figure 6 A Fast Fourier Transform analysis was performed on the time-domain simulation results at a wind speed of 8 m / s. Figure 6 As can be seen, the frequency domain characteristic correction proposed in this invention effectively suppresses the superimposed blade rotation frequency components of 6 times or more in the output power, effectively improving the frequency domain consistency with the simulation results, thus proving the effectiveness of this invention.

[0092] The above-disclosed embodiments propose an equivalent wind speed modeling method and related apparatus that considers wind shear and tower shadow effects. The method introduces frequency characteristic correction based on the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effects, which effectively improves the strong dependence of the equivalent wind speed model on model parameters. Then, the final equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed, which improves the accuracy of the equivalent wind speed model in characterizing the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helps to promote wind power technology research oriented towards electrical characteristic analysis and control.

[0093] The disclosed method can be implemented using various types of devices. Therefore, the present invention also discloses a modeling apparatus corresponding to the above method. Specific embodiments are given below for detailed description.

[0094] like Figure 7 As shown, one embodiment of the present invention provides an equivalent wind speed modeling device that considers wind shear and tower shadow effects, comprising:

[0095] Wind speed equivalent module 702 is used to determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effect;

[0096] The wind speed correction module 704 is used to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed.

[0097] The wind speed improvement module 706 is used to calculate the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed.

[0098] The device provided in this application embodiment has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0099] The methods and related apparatuses mentioned in the above embodiments are described with reference to the method flowcharts and / or structural diagrams provided in the embodiments of this application. Specifically, each block of the method flowchart and / or structural diagram, as well as combinations of blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing device, generate instructions for implementing the process. Figure 1 A schematic diagram of one or more processes and / or structures. Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 A schematic diagram of one or more processes and / or structures. Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 A process or multiple processes and / or structures illustrate the steps of the functions specified in one or more boxes.

[0100] The following embodiments illustrate the application of this method to a computer device. It is understood that the computer device can be any device with computing and processing capabilities, including but not limited to servers or personal laptops. In one embodiment, the computer device can be an application server, which can be a server used to run the application under test.

[0101] See Figure 8 This document illustrates a hardware block diagram of an electronic device intended to represent various forms of digital computers, such as laptops, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present application described and / or claimed herein.

[0102] like Figure 8As shown, the electronic device includes: at least one processor 1, at least one communication interface 2, at least one memory 3, and at least one communication bus 4;

[0103] In this embodiment of the application, the number of processor 1, communication interface 2, memory 3, and communication bus 4 is at least one, and processor 1, communication interface 2, and memory 3 communicate with each other through communication bus 4;

[0104] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0105] Memory 3 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device;

[0106] The memory stores a program, which the processor can call. The program is used to implement the various processing steps of the aforementioned equivalent wind speed modeling scheme that considers wind shear and tower shadow effects.

[0107] This invention also provides a readable storage medium storing a computer program, which, when executed by a processor, implements various processing flows of the equivalent wind speed modeling scheme considering wind shear and tower shadow effects provided in any possible implementation of the above embodiments and / or in combination with the embodiments.

[0108] The invention has been described in particular detail above with respect to possible scenarios, and those skilled in the art will recognize that the invention can be practiced through other embodiments. Specific naming of components, capitalization of terms, attributes, data structures, or any other programming or structural aspects are not mandatory or important, and the mechanisms or features of implementing the invention may have different names, forms, or procedures. The system can be implemented through a combination of hardware and software (as described), entirely through hardware elements, or entirely through software elements. The specific division of functions among the various system components described herein is merely exemplary and not mandatory; rather, the functions performed by a single system component can be performed by multiple components, or the functions performed by multiple components can be performed by a single component.

[0109] Those skilled in the art should understand that the various steps of the disclosed methods can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using device-executable program code, which can then be stored in a storage device for execution by the computing device. Alternatively, they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Therefore, the embodiments disclosed in this invention are not limited to any specific hardware and software combination.

[0110] The programs (also referred to as programs, software, software applications, or code) executable by these computing devices include machine instructions of a programmable processor and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms “machine-readable medium” and “computer-readable medium” refer to any computer program product, device, and / or apparatus (e.g., disk, optical disk, memory, programmable logic device (PLD)) used to provide machine instructions and / or data to a programmable processor, including machine-readable media that receive machine instructions as machine-readable signals. The term “machine-readable signal” refers to any signal used to provide machine instructions and / or data to a programmable processor.

[0111] Certain aspects of this invention include the process steps and instructions described herein in algorithmic form. It should be noted that the process steps and instructions of this invention can be implemented in software, firmware, and / or hardware, and when implemented in software, they can be downloaded, stored on various operating systems and operated from said platforms.

[0112] Those skilled in the art will understand that the structures shown in the figures are merely block diagrams of some structures related to the present application and do not constitute a limitation on the terminal device to which the present application is applied. Specific terminal devices may include more or fewer components than those shown in the figures, or combine certain components, or have different component arrangements.

[0113] In the description of this specification, the use of terms such as "one embodiment," "some embodiments," "example," "specific example," or "possible design," etc., refers to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0114] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0115] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for modeling equivalent wind speed considering wind shear and tower shadow effects, characterized in that, include: Determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering the tower shadow effect; The frequency characteristics are corrected based on the first and second equivalent wind speeds to obtain the corrected wind speed. The equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed; The first equivalent wind speed is expressed as: ， in, This indicates the first equivalent wind speed. The wind shear index, The radius of the wind turbine; The rotation angle of the wind turbine. Wheel hub height; The second equivalent wind speed is expressed as: ， in, This indicates the second equivalent wind speed. , The diameter of the tower is [missing information]. The distance from the wind turbine to the center point of the tower. The radius of the wind turbine; The rotation angle of the wind turbine. Wheel hub height; The frequency characteristic correction based on the first and second equivalent wind speeds to obtain the corrected wind speed includes: The correction transfer function for frequency characteristic correction is determined based on the characteristic frequency; The frequency characteristics of the first and second equivalent wind speeds are corrected using the modified transfer function to obtain the corrected wind speed. The step of using the modified transfer function to correct the frequency characteristics of the first and second equivalent wind speeds to obtain the corrected wind speed includes: ， in, Indicates corrected wind speed. This indicates a modified transfer function. Indicates the inflow wind speed. and These represent the first equivalent wind speed and the second equivalent wind speed, respectively. The modified transfer function is expressed as follows: ， in, Represents characteristic frequency, Indicates the damping ratio. This represents the Laplace differential operator.

2. The method according to claim 1, characterized in that, The calculation of the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed includes: The equivalent improved wind speed is obtained by summing the corrected wind speed and the inflow wind speed.

3. An equivalent wind speed modeling device considering wind shear and tower shadow effects, characterized in that, The equivalent wind speed modeling device considering wind shear and tower shadow effects adopts the equivalent wind speed modeling method considering wind shear and tower shadow effects as described in any one of claims 1 to 2, including: The wind speed equivalence module is used to determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering the tower shadow effect; The wind speed correction module is used to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed. The wind speed improvement module is used to calculate the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed.

4. An electronic device, characterized in that, It includes a memory storing computer-executable instructions and a processor, which, when executed by the processor, causes the electronic device to perform the equivalent wind speed modeling method considering wind shear and tower shadow effects as described in any one of claims 1 to 2.

5. A readable storage medium, characterized in that, It stores a computer-executable program that, when executed, implements the equivalent wind speed modeling method considering wind shear and tower shadow effects as described in any one of claims 1 to 2.

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