Equivalent wind speed modeling method considering wind shear and tower shadow effect and related device

Abstract

The invention discloses an equivalent wind speed modeling method considering wind shear and a tower shadow effect and a related device, and the method introduces frequency characteristic correction on the basis of a first equivalent wind speed considering the wind shear and a second equivalent wind speed considering the tower shadow effect, thereby effectively improving the strong dependence of an equivalent wind speed model on model parameters. And calculating a final equivalent improved wind speed according to the corrected wind speed and the inflow wind speed, thereby improving the description precision of the equivalent wind speed model on the unit power influenced by the wind shear and the tower shadow effect under the condition of non-precise parameters, and facilitating the promotion of wind power technology research oriented to electrical characteristic analysis and control.

Description

Technical Field

[0001] The present invention relates to wind turbine modeling technology, and in particular to an equivalent wind speed modeling method and related devices that take wind shear and tower shadow effects into consideration. Background Art

[0002] Wind power generation, as an important component of clean and renewable energy, has been widely used in recent years. In wind power systems, wind speed is a key factor affecting wind turbine output power, aerodynamic loads, and control strategies. In actual operation, due to factors such as topography, meteorology, and wind field heterogeneity, wind speed often exhibits complex spatial variations. In particular, significant wind shear exists within the height range of the wind turbine rotor. Furthermore, due to the mutual shielding between the rotor and the tower, the blades are also periodically affected by the tower's shadow during rotation. These factors work together to cause significant temporal and spatial inconsistencies in the aerodynamic loads acting on the blades, which in turn affects the overall performance evaluation, load calculation, and control strategy design of the entire turbine.

[0003] Wind shear refers to the wind speed gradient caused by changes in vertical height, and is one of the main sources of uneven wind speed distribution within the swept surface of the wind rotor; the tower shadow effect refers to the situation when the wind rotor blades pass through the leeward area of ​​the tower during rotation, and the airflow is disturbed by the tower, causing the local wind speed to drop and turbulence to increase, resulting in a sudden change in the aerodynamic force acting on the blades at that position.

[0004] In order to more accurately evaluate the operating status of wind turbines and improve the physical realism of modeling, academia and industry have gradually proposed the concept of "equivalent wind speed modeling", which aims to map the complex load effects generated by non-uniform wind speed fields (including factors such as wind shear and tower shadow) 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 speed 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 the output power may be inconsistent with reality. Summary of the Invention

[0006] Based on this, the present invention aims to propose an equivalent wind speed modeling method and related devices that take into account wind shear and tower shadow effects, introduce a frequency domain characteristic reshaping link on the basis of the existing equivalent wind speed model, effectively improve the strong dependence of the equivalent wind speed model on the model parameters, and solve the problem of insufficient accuracy of the equivalent wind speed model under non-precise 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 tower shadow effect;

[0009] Performing frequency characteristic correction based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed;

[0010] Calculate the equivalent improved wind speed based on the corrected wind speed and the inflow wind speed.

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

[0012] The first equivalent wind speed model considering wind shear is established according to 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, represents the first equivalent wind speed, is the wind shear index, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

[0017] Furthermore, determining the second equivalent wind speed considering the tower shadow effect includes:

[0018] A second equivalent wind speed model considering tower shadow effect is established based on 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, represents the second equivalent wind speed, , is the tower diameter, is the distance between the wind rotor and the center point of the tower, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

[0023] Furthermore, frequency characteristics are corrected based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed including:

[0024] determining a correction transfer function for frequency characteristic correction according to the characteristic frequency;

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

[0026] Furthermore, the frequency characteristics of the first equivalent wind speed and the second equivalent wind speed are corrected using the corrected transfer function, and the corrected wind speeds include:

[0027] ,

[0028] in, Indicates the corrected wind speed, represents the modified transfer function, represents the inflow wind speed, and 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 the characteristic frequency, represents the damping ratio, represents the Laplace differential operator.

[0032] Furthermore, calculating the equivalent improved wind speed according to the corrected wind speed and the inflow wind speed includes:

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

[0034] In a second aspect, the present invention provides an equivalent wind speed modeling device that takes into account wind shear and tower shadow effects, comprising:

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

[0036] A wind speed correction module, configured to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain a 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] In a third aspect, the present invention provides an electronic device comprising a memory storing computer-executable instructions and a processor, wherein when the computer-executable instructions are executed by the processor, the device executes the various steps of the equivalent wind speed modeling method considering wind shear and tower shadow effects provided in the first aspect.

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

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

[0041] The present invention proposes an equivalent wind speed modeling method and related devices that take into account wind shear and tower shadow effects. The method introduces frequency characteristic correction on the basis of a first equivalent wind speed that takes into account wind shear and a second equivalent wind speed that takes into account tower shadow effects, effectively improving the strong dependence of the equivalent wind speed model on model parameters, and then calculating the final equivalent improved wind speed based on the corrected wind speed and the inflow wind speed, thereby improving the accuracy of the equivalent wind speed model in depicting the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helping to promote wind power technology research for electrical characteristic analysis and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 A flowchart for implementing an equivalent wind speed modeling method that considers wind shear and tower shadow effects, provided in accordance with one embodiment of the present invention;

[0044] Figure 2 A flowchart of an implementation method for equivalent wind speed modeling taking into account wind shear and tower shadow effects provided in another embodiment of the present invention;

[0045] Figure 3 A schematic diagram comparing the power and speed calculated using the wind speed output by the existing equivalent wind speed model with the simulation calculation results;

[0046] Figure 4 For Figure 3 Schematic diagram of comparison after fast Fourier transform of the power shown;

[0047] Figure 5 A schematic diagram showing a comparison between the power calculated using the equivalent improved wind speed output of the present invention and the simulation calculation results in the full wind speed range;

[0048] Figure 6 For Figure 5 The schematic diagram of the comparison of power after fast Fourier transform at a wind speed of 8m / s is shown;

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

[0050] Figure 8 This is a diagram of the electronic device architecture provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts 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 a first equivalent wind speed considering wind shear and a second equivalent wind speed considering tower shadow effect.

[0054] This step simulates the wind characteristics of the wind rotor in a non-uniform wind field, accurately reflecting the non-uniform modulation effects of wind shear and tower shadow effect on wind speeds in different areas of the wind rotor. Based on the wind field profile structure of the wind turbine area and the spatial coupling effect of the tower rotor, 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: Establishing a first equivalent wind speed model taking wind shear into consideration according to the wind shear index and wind turbine parameters.

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

[0058] Specifically, wind shear refers to the phenomenon in which wind speed varies with height, often caused by surface roughness and uneven thermal distribution. The blades of the wind rotor are positioned at different heights, and the wind speed changes periodically with rotation. This embodiment uses a power-law wind profile model, and the first equivalent wind speed model is expressed as:

[0059]

[0060] in, represents the first equivalent wind speed, is the wind shear index, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

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

[0062] Step S113: Establish a second equivalent wind speed model taking into account the tower shadow effect according to the wind turbine parameters.

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

[0064] The tower shadow effect occurs when blades pass beneath a wind turbine tower, creating obstruction and disturbances caused by airflow around the tower. This results in a momentary decrease in wind speed and increased turbulence, often a periodic disturbance. The tower diameter and the characteristics of airflow around the tower jointly influence the local wind speed, causing this periodic disturbance.

[0065] Furthermore, since the tower shadow effect only affects the dynamics of the lower half of the rotor plane, in the process of modeling the equivalent wind speed model considering the tower shadow effect, the inflow wind speed is corrected only when the rotor rotation angle is in the range of (90°, 270°) with the blade at the highest point as the starting point. The second equivalent wind speed model can be expressed by the following piecewise function:

[0066]

[0067] in, represents the second equivalent wind speed, , is the tower diameter, is the distance between the wind rotor and the center point of the tower, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

[0068] Step S120: Perform frequency characteristic correction based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed.

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

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

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

[0072] Step S121 : Determine a correction transfer function for frequency characteristic correction according to the characteristic frequency.

[0073] Step S122: Use the modified transfer function to perform frequency characteristic correction on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed.

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

[0075]

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

[0077] The modified transfer function for frequency characteristic reshaping is introduced, especially for the high-frequency characteristics of the existing equivalent wind speed model. Specifically, the sum of the first equivalent wind speed and the second equivalent wind speed is first obtained, and then multiplied by the inflow wind speed. Then, the modified transfer function is used to reshape the frequency characteristic. Correct it, and the correction process is as follows:

[0078]

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

[0080] Step S130: Calculate the equivalent improved wind speed according to 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 can more realistically reflect the effective wind receiving characteristics of the wind rotor. The equivalent improved wind speed is a hybrid wind speed signal that fuses the actual wind speed measurement and the physical correction result, which not only retains the actual inflow characteristics but also contains the tower wheel structure disturbance information.

[0082] Generally, equivalent improved wind speed can be constructed through weighted fusion or compensation superposition. The weights of the weighted fusion method can be dynamically adjusted according to historical wind conditions, tower wheel structural parameters or learning algorithms, while compensation superposition performs physical compensation on the basis of explicitly retaining the original measurement data.

[0083] Furthermore, the embodiment of the present invention adopts a compensation superposition method to calculate the equivalent improved wind speed by summing the corrected wind speed and the inflow wind speed, which is expressed as follows:

[0084]

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

[0086] Figure 2 The modeling process provided by an embodiment of the present invention is illustrated. By modifying the frequency domain characteristics, the system can explicitly focus on the target frequency, for example, improving the modeling quality of key frequency bands in wind power prediction or pitch control, and suppressing non-target frequency interference.

[0087] Furthermore, in order 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 is an explanation by comparing the simulation results with the output of the equivalent wind speed model considering a single effect.

[0088] To ensure accuracy, the equivalent wind speed model that only considers a single effect requires precise information on parameters such as the wind shear index, rotor radius, hub height, tower diameter, distance between the rotor and the tower center, and rotor rotation angle. However, in actual applications, some of these parameters are difficult to obtain or only estimated values ​​can be obtained. This makes it difficult for the equivalent wind speed model that considers a single effect to accurately match actual engineering results or simulation results obtained by internationally recognized simulation software.

[0089] Figure 3 and 4 The difference between the power machine speed calculated by the output wind speed of the existing equivalent wind speed model and the simulation results of the simulation model under the condition of non-precise parameters is compared. Figure 3 The figure shows the comparison between the existing equivalent wind speed model and the simulation model in terms of unit power and speed response. Since 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 Figure 3 The results of fast Fourier transform of the power show that due to the inaccuracy of the model parameters, the amplitude of the blade rotation frequency component of 6 times or more calculated by the equivalent model is significantly increased compared with the power calculated by the simulation model.

[0090] After the initial equivalent wind speed is corrected and improved using the equivalent wind speed modeling method proposed in this invention, the time domain simulation results are shown in the attached figure. Figure 5 As shown. Figure 5It can be seen that the power calculated based on the wind speed output by the equivalent wind speed modeling method proposed in the present invention is consistent with the simulation results in all wind speed ranges.

[0091] Further, Figure 6 Fast Fourier transform analysis was performed on the time domain simulation results with a wind speed of 8m / s. Figure 6 It can be seen that the frequency domain characteristic correction proposed in the present invention effectively suppresses the blade rotation frequency components superimposed on the output power by 6 times or more, effectively improves the frequency domain consistency with the simulation results, and proves the effectiveness of the present invention.

[0092] The above-mentioned disclosed embodiments propose an equivalent wind speed modeling method and related devices that take into account wind shear and tower shadow effects. The method introduces frequency characteristic correction on the basis of a first equivalent wind speed considering wind shear and a second equivalent wind speed considering tower shadow effects, effectively improving the strong dependence of the equivalent wind speed model on model parameters, and then calculating the final equivalent improved wind speed based on the corrected wind speed and inflow wind speed, thereby improving the accuracy of the equivalent wind speed model in depicting the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helping to promote wind power technology research for electrical characteristic analysis and control.

[0093] The disclosed method can be implemented using various devices, so the present invention also discloses a modeling device corresponding to the method, which will be described in detail in the following specific embodiments.

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

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

[0096] A wind speed correction module 704 is configured to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed;

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

[0098] The device provided in the embodiment of the present application has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0099] The methods and related devices mentioned in the above embodiments are described with reference to the method flow charts and / or structural diagrams provided in the embodiments of the present application. Specifically, each process and / or block in the method flow charts and / or structural diagrams, as well as the combination of processes and / or blocks in the flow charts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 Schematic diagram of one or more processes and / or structures Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 Schematic diagram of one or more processes and / or structures Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 The flow or flows and / or structures illustrate the steps of the functions specified in one block or multiple blocks.

[0100] The following embodiments illustrate this method using a computer device as an example. It is understood that the computer device may be any device with computing and processing capabilities, including, but not limited to, a server or a personal laptop. In one embodiment, the computer device may be an application server, which may be a server for running the application under test.

[0101] See Figure 8 , which shows a hardware block diagram of an electronic device, which is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples 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 the embodiment of the present application, the number of the processor 1, the communication interface 2, the memory 3, and the communication bus 4 is at least one, and the processor 1, the communication interface 2, and the memory 3 communicate with each other through the communication bus 4;

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

[0105] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory;

[0106] The memory stores a program, and the processor can call the program stored in the memory, wherein the program is used to implement various processing flows of the aforementioned equivalent wind speed modeling scheme considering wind shear and tower shadow effects.

[0107] An embodiment of the present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the various processing flows of the equivalent wind speed modeling scheme considering wind shear and tower shadow effects provided in the above-mentioned embodiment and / or any possible implementation method in combination with the embodiment are implemented.

[0108] The above embodiments have described the invention in particular detail with respect to possible scenarios, and those skilled in the art will recognize that the invention can be practiced through other embodiments. The 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 the invention may have different names, forms, or procedures. The system may 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 between the various system components described herein is exemplary only and not mandatory; rather, the functions performed by a single system component may be performed by multiple components, or the functions performed by multiple components may be performed by a single component.

[0109] Those skilled in the art will appreciate that the various steps of the method disclosed above can be implemented by a general-purpose computing device. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they can be implemented using program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. Thus, the embodiments disclosed herein are not limited to any specific combination of hardware and software.

[0110] The programs executable by these computing devices (also referred to as programs, software, software applications, or code) include machine instructions for programmable processors 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, apparatus, and / or device (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

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

[0112] Those skilled in the art will understand that the structures shown in the accompanying drawings are merely block diagrams of partial structures related to the scheme of the present application, and do not constitute a limitation on the terminal device to which the scheme of the present application is applied. The specific terminal device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0113] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "possible design" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and features of different embodiments or examples, unless they are mutually inconsistent.

[0114] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0115] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An equivalent wind speed modeling method considering wind shear and tower shadow effect, characterized in that: include: Determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effect; Performing frequency characteristic correction based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed; An equivalent improved wind speed is calculated according to the corrected wind speed and the inflow wind speed.

2. The method according to claim 1, characterized in that The first equivalent wind speed is expressed as: ， in, represents the first equivalent wind speed, is the wind shear index, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

3. The method according to claim 1, characterized in that The second equivalent wind speed is expressed as: ， in, represents the second equivalent wind speed, , is the tower diameter, is the distance between the wind rotor and the center point of the tower, is the radius of the wind wheel; is the wind wheel rotation angle, is the wheel hub height.

4. The method according to claim 1, wherein The performing frequency characteristic correction based on the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed includes: determining a correction transfer function for frequency characteristic correction according to the characteristic frequency; The frequency characteristics of the first equivalent wind speed and the second equivalent wind speed are corrected using the corrected transfer function to obtain a corrected wind speed.

5. The method according to claim 4, characterized in that The method of using the modified transfer function to perform frequency characteristic correction on the first equivalent wind speed and the second equivalent wind speed to obtain the corrected wind speed includes: ， in, Indicates the corrected wind speed, represents the modified transfer function, represents the inflow wind speed, and represent the first equivalent wind speed and the second equivalent wind speed respectively.

6. The method according to claim 4, characterized in that The modified transfer function is expressed as: ， in, represents the characteristic frequency, represents the damping ratio, represents the Laplace differential operator.

7. The method according to claim 1, characterized in that Calculating the equivalent improved wind speed according to the corrected wind speed and the inflow wind speed includes: The equivalent improved wind speed is calculated by summing the corrected wind speed and the inflow wind speed.

8. An equivalent wind speed modeling device considering wind shear and tower shadow effect, characterized in that: include: Wind speed equivalent module, used to determine the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effect; A wind speed correction module, configured to correct the frequency characteristics based on the first equivalent wind speed and the second equivalent wind speed to obtain a corrected wind speed; The wind speed improvement module is used to calculate the equivalent improved wind speed according to the corrected wind speed and the inflow wind speed.

9. An electronic device, characterized in that: The device comprises a memory storing computer-executable instructions and a processor, and when the computer-executable instructions are executed by the processor, the device executes the equivalent wind speed modeling method considering wind shear and tower shadow effect as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: A computer executable program is stored, and when the program is executed, the equivalent wind speed modeling method considering wind shear and tower shadow effect as described in any one of claims 1 to 7 can be implemented.

Images