Self-correction device and method for aerodynamic imbalance of wind turbine rotor

Abstract

Provided are a device and method for self-correcting aerodynamic imbalance in a wind turbine rotor. The device comprises: a data acquisition unit configured to collect acceleration data samples in the fore-aft direction of the wind turbine's nacelle, wherein the acceleration in the fore-aft direction of the wind turbine's nacelle is related to the blade operating pitch angle of the wind turbine's rotor; a state recognition unit configured to analyze the acceleration data samples collected by the data acquisition unit to obtain a quantitative index of the impeller's aerodynamic imbalance, and to determine whether the impeller is in an aerodynamically unbalanced state based on a comparison result of the quantitative index of the impeller's aerodynamic imbalance with a predetermined threshold; and a self-correction unit configured to optimize and correct the blade operating pitch angle of the impeller when it is determined that the impeller is in an aerodynamically unbalanced state. Thus, the impeller's aerodynamic imbalance can be detected quickly and accurately, and the blade posture can be adjusted according to the detection result to reduce the aerodynamic imbalance.

Description

Technical Field

[0001] This application relates to the field of wind power, and more specifically, to a self-correcting device and method for aerodynamic imbalance of wind turbine rotor. Background Art

[0002] Aerodynamic imbalance in wind turbine rotors is primarily caused by uneven aerodynamic thrust within the rotor surface, resulting in uneven stress on the three blades. This imbalance generates an in-plane imbalance during rotor rotation, causing periodic vibrations that coincide with the rotor frequency, affecting the turbine's limits and fatigue loads. The uneven aerodynamic thrust across the three blades is related to wind resources such as wind shear and turbulence, as well as factors like blade installation angle, pitch control accuracy, and manufacturing deviations.

[0003] As the rotor diameter increases, the impact of aerodynamic imbalance in wind turbines becomes increasingly significant. Aerodynamic imbalance has uncertain effects on the power generation performance and safety reliability of wind turbines. Currently, there are many methods for detecting imbalance in wind turbines, but most of them only remain at the detection stage and do not involve substantial optimization measures.

[0004] Therefore, a solution is needed that can quickly and conveniently detect and correct aerodynamic imbalances in wind turbine rotors. Summary of the Invention

[0005] In order to at least solve the above-mentioned problems in the prior art, this application provides a self-correcting device and method for aerodynamic imbalance of wind turbine rotor.

[0006] According to one aspect of the present invention, a self-correcting device for aerodynamic imbalance of a wind turbine rotor is provided, characterized in that it comprises: a data acquisition unit configured to acquire acceleration data samples in the forward and backward direction of the nacelle of the wind turbine, wherein the forward and backward acceleration of the nacelle of the wind turbine is related to the blade operating angle of the rotor of the wind turbine; a state identification unit configured to analyze the acceleration data samples acquired by the data acquisition unit to obtain a quantitative index of rotor aerodynamic imbalance, and determine whether the rotor is in an aerodynamic imbalance state based on the comparison result of the quantitative index of rotor aerodynamic imbalance with a predetermined threshold; and a self-correcting unit configured to optimize and correct the operating angle of the rotor blades when it is determined that the rotor is in an aerodynamic imbalance state.

[0007] Optionally, the data acquisition unit can be configured to collect acceleration data samples in the forward and backward directions of the nacelle of the wind turbine generator set when the wind turbine generator set is operating at its rated speed and without pitch control.

[0008] Optionally, the data acquisition unit can be configured to acquire a predetermined number of acceleration data samples, and the state identification unit can be configured to perform spectral analysis on each acceleration data sample to extract its frequency domain energy amplitude, and set the average of the frequency domain energy amplitudes of the predetermined number of acceleration data samples as the impeller aerodynamic imbalance quantification index.

[0009] Optionally, the self-correction unit can be configured to optimize and correct the operating angle of each blade by the following operations: when optimizing and correcting the operating angle of the current blade, the current blade is made to operate in each of the multiple preset operating angle modes for the current blade in sequence; the impeller aerodynamic imbalance quantification index is obtained through the data acquisition unit and the state recognition unit in each operating angle mode, the corresponding blade angle of the operating angle mode with the optimal impeller aerodynamic imbalance quantification index is determined as the optimal blade angle of the current blade, and the operating blade angle of the current blade is corrected to the determined optimal blade angle, wherein, when the current blade is running in each operating angle mode, only the operating blade angle of the current blade is modified to the blade angle corresponding to the operating angle mode.

[0010] Optionally, the frequency domain energy amplitude can be a harmonic energy amplitude.

[0011] According to another aspect of the present invention, a self-correction method for aerodynamic imbalance of a wind turbine rotor is provided, characterized in that it includes: collecting acceleration data samples in the forward and backward directions of the nacelle of the wind turbine, wherein the forward and backward acceleration of the nacelle of the wind turbine is related to the blade operating angle of the rotor of the wind turbine; analyzing the collected acceleration data samples to obtain a quantitative index of rotor aerodynamic imbalance, and determining whether the rotor is in an aerodynamic imbalance state based on the comparison result of the quantitative index of rotor aerodynamic imbalance with a predetermined threshold; when it is determined that the rotor is in an aerodynamic imbalance state, optimizing and correcting the blade operating angle of the rotor.

[0012] Optionally, the step of collecting acceleration data samples may include: when the wind turbine is operating at its rated speed and without pitch adjustment, collecting acceleration data samples in the forward and backward directions of the nacelle of the wind turbine.

[0013] Optionally, the step of collecting acceleration data samples may include: collecting a predetermined number of acceleration data samples, and performing spectral analysis on the acceleration data samples to obtain a quantitative index of turbine aerodynamic imbalance. The step of performing spectral analysis on each acceleration data sample to extract its frequency domain energy amplitude, and setting the mean of the frequency domain energy amplitude of the predetermined number of acceleration data samples as the quantitative index of turbine aerodynamic imbalance.

[0014] Optionally, the step of optimizing and correcting the operating angle of each blade may include: when optimizing and correcting the operating angle of the current blade, the current blade is made to operate in each of the multiple preset operating angle modes for the current blade in sequence; the impeller aerodynamic imbalance quantification index is obtained in each operating angle mode; the corresponding blade angle of the operating angle mode with the best impeller aerodynamic imbalance quantification index is determined as the optimal blade angle of the current blade; and the operating angle of the current blade is corrected to the determined optimal blade angle, wherein when the current blade is running in each operating angle mode, only the operating angle of the current blade is modified to the blade angle corresponding to that operating angle mode.

[0015] Optionally, the frequency domain energy amplitude can be a harmonic energy amplitude.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein computer program instructions are stored on the computer-readable storage medium, and the computer program instructions, when executed by a processor, implement the aforementioned self-correction method for aerodynamic imbalance of wind turbine rotor.

[0017] According to another aspect of the present invention, a computer device is provided, comprising a readable medium storing computer program instructions, characterized in that the computer program instructions include instructions for performing the aforementioned self-correction method for aerodynamic imbalance of a wind turbine rotor.

[0018] Beneficial effects

[0019] By applying the wind turbine rotor aerodynamic imbalance self-correction device and method according to the exemplary embodiments of this application, the aerodynamic imbalance of the wind turbine rotor can be detected in real time, efficiently and accurately, and the blade attitude can be adjusted according to the detection results in order to effectively compensate for and reduce the aerodynamic imbalance of the rotor, thereby reducing the aerodynamic imbalance caused by factors such as blade installation, pitch control, and manufacturing. Attached Figure Description

[0020] These and / or other aspects and advantages of this application will become clearer and more readily understood from the following detailed description of embodiments of this application taken in conjunction with the accompanying drawings, wherein:

[0021] Figure 1a and Figure 1b The first harmonic energy amplitude and the first-order energy amplitude of the tower are shown in the spectral density of the acceleration signal before and after the nacelle under the aerodynamically balanced state of the impeller and under the early aerodynamically unbalanced state or the mild aerodynamically unbalanced state of the impeller.

[0022] Figure 2 This is a block diagram illustrating a wind turbine rotor aerodynamic imbalance self-correction device according to an exemplary embodiment of this application.

[0023] Figure 3 This is a flowchart illustrating a self-correction method for aerodynamic imbalance of a wind turbine rotor according to an exemplary embodiment of this application.

[0024] The present application will be described in detail below with reference to the accompanying drawings, throughout which the same or similar elements will be indicated by the same or similar reference numerals. Detailed Implementation

[0025] The following description, taken with reference to the accompanying drawings, is provided to aid in a full understanding of exemplary embodiments of the present application as defined by the claims and their equivalents. The description includes various specific details to aid understanding, but these details are considered exemplary only. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Furthermore, descriptions of known functions and constructions may be omitted for clarity and brevity.

[0026] When a wind turbine experiences rotor aerodynamic imbalance, the resulting imbalance can cause significant changes in energy values ​​at certain frequencies in the turbine's vibration data compared to the balanced state, while the energy values ​​at other frequencies may remain relatively stable. Therefore, the presence of aerodynamic imbalance can be determined by monitoring changes in energy values ​​at frequencies susceptible to this imbalance.

[0027] For example, the first harmonic (1P) energy in the spectral density of the nacelle acceleration (i.e., acceleration in the x-direction) signal can be compared with the first-order energy of the tower. When the 1P energy is higher than the first-order energy of the tower, it is considered that the unit has an aerodynamic imbalance. However, this method is not applicable to all operating conditions. During unit operation, the main energy of the nacelle acceleration is concentrated on the first-order energy of the tower. Therefore, when the 1P energy exceeds the first-order energy of the tower, the unit may already have an extremely serious aerodynamic imbalance.

[0028] Figure 1a The 1P energy amplitude and the first-order energy amplitude of the tower are illustrated exemplarily in the spectral density of the acceleration signal before and after the nacelle under aerodynamic equilibrium state of the impeller. Figure 1b The diagram exemplifies the 1P energy amplitude and the tower's first-order energy amplitude in the spectral density of the acceleration signal before and after the nacelle when the impeller is in an early or mild aerodynamic imbalance state. Figure 1a and Figure 1b In the relevant amplitude labels, X indicates the horizontal axis value and Y indicates the vertical axis value. For example, X0.1856 means that the corresponding frequency of this point is 0.1856Hz, and Y0.00165 means that the corresponding amplitude of this point is 0.00165 (which can be normalized values; the relative magnitude and change of the amplitude can be shown in the graph).

[0029] like Figure 1a As shown, when the unit is operating normally and the impeller is aerodynamically balanced, the 1P (0.2056Hz) energy (0.0006179) is much smaller than the first-order tower energy (0.1856Hz) (0.00165). However, when the impeller begins to enter an unbalanced state, or is in a slightly unbalanced state, such as... Figure 1b As shown, although the amplitude of 1P energy increases due to the aerodynamic imbalance, the amplitude of 1P energy (0.001245) may still not exceed the first-order tower energy (0.001648). Therefore, only when the imbalance worsens to the point that 1P energy exceeds the first-order tower energy can the existence of impeller aerodynamic imbalance be identified. However, at this point, the impeller aerodynamic imbalance may already be very serious. Therefore, comparing 1P energy with the first-order tower energy cannot effectively and promptly identify the early-stage impeller aerodynamic imbalance or mild impeller aerodynamic imbalance of the unit.

[0030] Furthermore, for example, the 1P energy in the nacelle acceleration signal spectral density can be extracted and compared with the 3P (i.e., third harmonic) energy to determine the turbine aerodynamic balance state. The blade angle can be adjusted, and adjustment can be stopped when the 1P energy is less than the 3P energy; at this point, the unit is considered to have reached an ideal turbine aerodynamic balance state. However, compared with... Figure 1a and Figure 1b Similar to the situation shown, even if the 1P energy is less than the 3P energy, the unit may still have aerodynamic imbalance and has not reached its optimal state. In addition, the 3P energy is itself relatively high due to the influence of turbulence, wind shear, tower shadow effect, etc. When there is impeller imbalance in the unit, the 3P energy may still be greater than the 1P energy, making it difficult to detect the imbalance problem of the unit in time.

[0031] Figure 2 This is a block diagram of a wind turbine rotor aerodynamic imbalance self-correcting device 200 according to an exemplary embodiment of the present invention.

[0032] Reference Figure 2 According to an exemplary embodiment of the present invention, a wind turbine rotor aerodynamic imbalance self-correction device 200 (hereinafter referred to as "aerodynamic imbalance self-correction device 200") includes a data acquisition unit 210, a status identification unit 220, and a self-correction unit 230.

[0033] The data acquisition unit 210 can collect acceleration data samples in the forward and backward direction of the nacelle of the wind turbine generator set. The forward and backward acceleration of the nacelle of the wind turbine generator set is related to the blade operating angle of the wind turbine generator set's rotor. Therefore, by analyzing these acceleration data samples, the aerodynamic balance performance of the rotor at the blade operating angle at the time of acceleration data collection can be obtained. Thus, the blade operating angle that can be corrected for aerodynamic imbalance of the wind turbine generator set can be identified using the collected acceleration data.

[0034] In an exemplary embodiment of the present invention, the data acquisition unit 210 can collect acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set when the wind turbine generator set is operating at its rated speed (i.e., when the rotor speed of the wind turbine generator set is the same as or approximately the rated speed, for example, rotor speed W > rated speed Wr - Δ, where Δ is a preset constant) and without pitch control. Here, when the wind turbine generator set is operating at its rated speed (or near its rated speed) and without pitch control, the wind turbine generator set is typically in normal operating condition. In other words, the aerodynamic imbalance self-correction device 200 can determine whether there is aerodynamic imbalance in the wind turbine generator set under normal operating condition.

[0035] The state identification unit 220 can analyze the acceleration data samples collected by the data acquisition unit 210 to obtain a quantitative index of impeller aerodynamic imbalance, and determine whether the impeller is in an aerodynamic imbalance state based on the comparison result of the quantitative index of impeller aerodynamic imbalance and a predetermined threshold. In an exemplary embodiment of the present invention, the first harmonic (1P) energy amplitude of the acceleration data sample can be used as a quantitative index to determine whether the impeller is in an aerodynamic imbalance state.

[0036] In an exemplary embodiment of the present invention, in order to improve the accuracy of identifying aerodynamic imbalance, the data acquisition unit 210 can acquire a predetermined number of acceleration data samples (e.g., N acceleration data samples, where N is a positive integer), and the state identification unit 220 can perform spectral analysis on each acceleration data sample to extract its frequency domain energy amplitude (e.g., 1P energy amplitude), and set the average value of the frequency domain energy amplitude of the predetermined number of acceleration data samples as the impeller aerodynamic imbalance quantification index.

[0037] In detail, the state identification unit 220 can perform low-pass filtering on each acceleration data sample to remove high-frequency components. Then, the state identification unit 220 can perform spectral analysis on each filtered acceleration sample data, extract its first harmonic (1P) energy amplitude Fp, and store it. In an exemplary embodiment of the present invention, the state identification unit 220 can extract and store the 1P energy amplitude Fp from each acceleration data sample acquired by the data acquisition unit 210 in real time until a predetermined number of 1P energy amplitudes are obtained, or it can extract the corresponding 1P energy amplitudes from these samples after the data acquisition unit 210 has acquired a predetermined number of acceleration data samples.

[0038] After completing the above processing of all acceleration data samples, the state identification unit 220 can calculate the average energy amplitude Fm of the 1P energy amplitude Fp of all acceleration data samples, and set the average energy amplitude Fm as the impeller aerodynamic imbalance quantification index.

[0039] Subsequently, the state identification unit 220 can determine whether the average energy amplitude Fm is greater than a preset threshold Fset. When the average energy amplitude Fm is greater than the preset threshold Fset, the state identification unit 220 can determine that the impeller is in an aerodynamic imbalance state. Conversely, when the average energy amplitude Fm is not greater than the preset threshold Fset, the state identification unit 220 can determine that the impeller is not in an aerodynamic imbalance state. In an exemplary embodiment of the present invention, the preset threshold Fset can be a value determined through long-term actual data collection and analysis and / or multiple simulations, taking into account the influence of meteorological factors such as turbulence and wind shear. In addition, considering that different individual wind turbines differ in hardware design, installation, terrain and meteorological conditions, and operating status, and that different models of wind turbines also have different hardware designs, the preset threshold Fset can be set for a single wind turbine or for different wind turbine models, thereby enabling more accurate and timely identification of aerodynamic imbalance states.

[0040] When the impeller is identified as being in an aerodynamically unbalanced state as described above, the self-correcting unit 230 can optimize and correct the operating angle of the impeller blades. In an exemplary embodiment of the present invention, the self-correcting unit 230 can sequentially optimize and correct the operating angle of each blade of the impeller.

[0041] Specifically, when optimizing and correcting the operating angle of a blade of the impeller, the self-correction unit 230 enables the blade to operate sequentially in each of the multiple preset blade angle operating modes for that blade. The data acquisition unit 210 and the state recognition unit 220 acquire the corresponding impeller aerodynamic imbalance quantification index for each blade angle operating mode. The self-correction unit 230 can determine the blade angle corresponding to the blade angle operating mode with the optimal impeller aerodynamic imbalance quantification index as the optimal blade angle for that blade, and correct the operating blade angle of that blade to the determined optimal blade angle. This will be explained in more detail below.

[0042] As an example only, assume that before the self-correction unit 230 begins to optimize and correct the blade operating angles, the operating angles of the three blades (hereinafter referred to as blade 1, blade 2, and blade 3 for ease of explanation) are A1, A2, and A3, respectively.

[0043] When the blade angle optimization and correction of blade 1 of the rotor begins, the self-correction unit 230 can modify the operating blade angle A1 of blade 1 online. For example, the self-correction unit 230 can first add an additional angle a1 to the operating blade angle A1 of blade 1 so that its operating blade angle becomes (A1+a1), thereby enabling the wind turbine generator to operate in blade angle operation mode Mode11, which corresponds to the blade angle (A1+a1) of blade 1. When the wind turbine generator is operating in blade angle operation mode Mode11, the rotor aerodynamic imbalance quantification index Fm11 under blade angle operation mode Mode11 can be obtained through the data acquisition unit 110 and the state recognition unit 220 in the manner described above for obtaining the rotor aerodynamic imbalance quantification index.

[0044] Subsequently, the self-correction unit 230 can add an additional angle a2 to the operating angle A1 of blade 1 so that its operating angle becomes (A1+a2). Then, the data acquisition unit 210 and the state recognition unit 220 obtain the turbine aerodynamic imbalance quantitative index Fm12 under the operating mode Mode12 corresponding to the blade angle (A1+a2) of blade 1.

[0045] Similarly, the self-correcting unit 230 can obtain the turbine aerodynamic imbalance quantification indexes Fm13, ..., Fm1n under the corresponding blade angle operating modes Mode13, ..., Mode1n when additional angles a3, ..., an are added to the operating blade angle A1 of blade 1, respectively. Here, the additional angles a1, ..., an can be multiple angles preset within a predetermined range.

[0046] In addition to modifying the blade's operating angle by adding a preset additional angle to the blade, the self-correction unit 230 can also directly modify the blade's operating angle. For example, the operating angle A1 of blade 1 can be directly changed to preset angles A11, ..., A1n, thereby obtaining the impeller aerodynamic imbalance quantification indexes Fm11, ..., Fm1n under the blade angle operating modes Mode11, ..., Mode1n corresponding to the blade angles A11, ..., A1n of blade 1, respectively.

[0047] In an exemplary embodiment of the present invention, when optimizing and correcting the blade angle of blade 1, only the blade angle of blade 1 can be changed to obtain the turbine aerodynamic imbalance quantification index under the corresponding blade angle operation mode, while the operating blade angles of other blades can remain unchanged.

[0048] After obtaining the turbine aerodynamic imbalance quantification indices Fm11, ..., Fm1n for each operating mode by modifying the operating blade angle of blade 1, the self-correcting unit 230 compares the obtained turbine aerodynamic imbalance quantification indices Fm11, ..., Fm1n, determines the blade angle corresponding to the minimum turbine aerodynamic imbalance quantification index as the optimal operating blade angle for blade 1, and modifies the operating blade angle of blade 1 to this optimal operating blade angle. For example, when it is determined that Fm12 has a minimum value, the self-correcting unit 230 can determine the blade angle (A1+a2) as the optimal operating blade angle for blade 1 and modify the operating blade angle of blade 1 to (A1+a2).

[0049] Subsequently, in a similar manner, the self-correction unit 230 can optimize and correct the blade angles of blades 2 and 3 of the impeller. In an exemplary embodiment of the present invention, the optimization and correction of the blade angle of the next blade is performed based on the correction of the blade angle of the previous blade. In other words, when blade angle optimization and correction is performed on blade 2, when the wind turbine is running in each blade angle operation mode Mode21, ..., Mode2n with blade 2, the operating blade angle of blade 1 is already corrected (e.g., (A1+a2)), while the operating blade angle of blade 3 remains A3 because it has not yet been corrected. Similarly, when blade angle optimization and correction is performed on blade 3, when the wind turbine is running in each blade angle operation mode Mode31, ..., Mode3n with blade 3, the operating blade angles of blades 1 and 2 are already corrected.

[0050] It should be understood that the method for optimizing and correcting the blade operating angle described above is merely an example. This application is not limited to this, and various other methods can be used to optimize and correct the blade operating angle to bring the impeller back to aerodynamic balance. For example, the blade angles of three blades can be adjusted simultaneously to find the blade angles of the three blades that optimize the quantification index of impeller aerodynamic imbalance. Alternatively, the blade angles that make the quantification index of impeller aerodynamic imbalance indicate that the impeller is in aerodynamic balance or meets preset conditions can be found, without having to find the optimal blade angle for each blade, nor is it necessary to optimize and correct the blade angle for each blade.

[0051] Furthermore, the preset threshold Fset used to determine the aerodynamic imbalance state in the above method can also be adjusted based on the correction results. For example, when a turbine aerodynamic imbalance is determined to exist by comparing the average energy amplitude Fm with the preset threshold Fset (i.e., Fm > Fset), if the optimal blade angle obtained after the above correction process is the same as the blade angle before correction, or if the correction process reveals that the average energy amplitude Fm has reached its minimum value, then the turbine may actually be in a state of aerodynamic balance. In this case, the preset threshold Fset can be adjusted (e.g., increased) to minimize the possibility of this situation.

[0052] In this way, the aerodynamic imbalance self-correction device 200 can identify the aerodynamic imbalance of the wind turbine blades in real time, detect the aerodynamic imbalance in a timely manner, and enter the self-correction mode as soon as possible after the imbalance is identified. By optimizing the running blade angle, the balance of the impeller is optimized, thereby reducing the fatigue of the wind turbine and improving the power generation performance.

[0053] Figure 3 This is a flowchart illustrating a self-correction method for aerodynamic imbalance of a wind turbine rotor according to an exemplary embodiment of the present invention.

[0054] Reference Figure 2 In step S310, the data acquisition unit 210 can collect acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set. In an exemplary embodiment of the present invention, the fore-and-aft acceleration of the nacelle of the wind turbine generator set is related to the blade operating angle of the wind turbine generator set's rotor. By analyzing these acceleration data samples, the aerodynamic balance performance of the rotor at the blade operating angle at the time the acceleration data samples were collected can be obtained, thereby enabling the identification of blade angles that can correct aerodynamic imbalances in the wind turbine generator set using the collected acceleration data. In an exemplary embodiment of the present invention, the data acquisition unit 210 can collect acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set when the wind turbine generator set is operating at its rated speed and without pitch control. Furthermore, to improve the accuracy of identifying aerodynamic imbalance states, the data acquisition unit 210 can collect a predetermined number of acceleration data samples (e.g., N acceleration data samples, where N is a positive integer) for subsequent analysis.

[0055] Subsequently, in step S320, the state identification unit 220 analyzes the acceleration data samples collected by the data acquisition unit 210 to obtain a quantitative index of impeller aerodynamic imbalance, and determines whether the impeller is in an aerodynamic imbalance state based on the comparison result of the impeller aerodynamic imbalance quantitative index and a predetermined threshold. More specifically, the state identification unit 220 can perform spectral analysis on each acceleration data sample to extract its frequency domain energy amplitude (e.g., 1P energy amplitude), and set the mean of the frequency domain energy amplitudes of the predetermined number of acceleration data samples as the impeller aerodynamic imbalance quantitative index, and compare it with a predetermined threshold to determine whether the impeller is in an aerodynamic imbalance state.

[0056] When it is determined that the impeller is in an aerodynamically unbalanced state, in step S330, the self-correction unit 230 can start the self-correction program to optimize and correct the running blade angle of the impeller blades, and find the running blade angle of each blade that can make the impeller balance optimal.

[0057] Specifically, when optimizing and correcting the operating angle of a blade of the impeller, the self-correction unit 230 allows the blade to operate sequentially in each of the multiple preset blade angle operating modes for that blade. Through the data acquisition unit 210 and the state recognition unit 220, which identify the aerodynamic imbalance state as described above, the corresponding impeller aerodynamic imbalance quantification index for each blade angle operating mode is obtained. The self-correction unit 230 can determine the blade angle corresponding to the blade angle operating mode with the optimal impeller aerodynamic imbalance quantification index as the optimal blade angle for that blade, and correct the operating blade angle of that blade to the determined optimal blade angle. Here, when the blade to be corrected operates in each blade angle operating mode and the corresponding impeller aerodynamic imbalance quantification index is calculated, only the operating blade angle of that blade can be modified to the blade angle corresponding to the blade angle operating mode, while the operating blade angles of other blades can remain unchanged.

[0058] The above has been combined Figure 2 The specific operation of each device component in the above method has been described in detail, so for the sake of brevity, it will not be repeated here. In addition, the above-mentioned impeller aerodynamic imbalance self-correction method can be executed periodically, or it can be activated according to preset conditions (e.g., when preset weather conditions occur, the power generation performance of the wind turbine generator decreases, etc.) to promptly identify and correct impeller aerodynamic imbalance.

[0059] By applying the wind turbine rotor aerodynamic imbalance self-correction device and method according to the exemplary embodiments of this application, the aerodynamic imbalance of the wind turbine rotor can be detected in real time, efficiently and accurately, and the blade attitude can be adjusted according to the detection results in order to effectively compensate for and reduce the aerodynamic imbalance of the rotor, thereby reducing the aerodynamic imbalance caused by factors such as blade installation, pitch control, and manufacturing.

[0060] The above references are shown in Figures 1 to 12. Figure 3 A self-correcting device and method for aerodynamic imbalance of a wind turbine rotor according to exemplary embodiments of the present disclosure are described. However, it should be understood that the devices and systems shown in the figures can be configured as software, hardware, firmware, or any combination thereof to perform specific functions. For example, these systems and devices may correspond to dedicated integrated circuits, pure software code, or modules combining software and hardware. Furthermore, one or more functions implemented by these systems or devices may also be uniformly executed by components in a physical entity device (e.g., a processor, client, or server).

[0061] Furthermore, the above methods can be implemented by computer program instructions recorded on a computer-readable storage medium, which implement the method when executed by a processor or other type of computing device. The storage medium may also include program instructions, data files, data structures, etc., or a combination of data files, data structures, etc., and program instructions. Examples of computer-readable storage media include magnetic media (e.g., hard disks, floppy disks, and magnetic tapes), optical media (e.g., CD-ROMs and DVDs), magneto-optical media (e.g., optical discs), and hardware devices specifically configured to store and execute program instructions (e.g., read-only memory (ROM), random access memory (RAM), flash memory, etc.). Examples of program instructions include (e.g., machine code generated by a compiler) and files containing higher-level code that can be executed by a computer using an interpreter. The described hardware devices can be configured as one or more software units to perform the above operations and methods, and vice versa. Furthermore, computer-readable storage media can be distributed across computer systems connected via a network, and computer-readable code or program instructions can be stored and executed in a distributed manner.

[0062] For example, according to an exemplary embodiment of this application, a computer-readable storage medium storing instructions can be provided, wherein when the instructions are executed by at least one computing device, the at least one computing device causes the at least one computing device to perform the following steps: acquiring acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set, wherein the fore-and-aft acceleration of the nacelle of the wind turbine generator set is related to the blade operating angle of the impeller of the wind turbine generator set; analyzing the acquired acceleration data samples to obtain a quantitative index of impeller aerodynamic imbalance, and determining whether the impeller is in an aerodynamic imbalance state based on the comparison result of the quantitative index of impeller aerodynamic imbalance with a predetermined threshold; when it is determined that the impeller is in an aerodynamic imbalance state, optimizing and correcting the blade operating angle of the impeller.

[0063] The instructions stored in the aforementioned computer-readable storage medium can be executed in an environment deployed in computer devices such as clients, hosts, agent devices, and servers. It should be noted that the instructions can also be used to perform additional steps besides those described above, or to perform more specific processing while executing the above steps. The details of these additional steps and further processing are shown in Figures 1 to 12. Figure 3 As mentioned in the description of the relevant systems and methods, they will not be repeated here to avoid repetition.

[0064] It should be noted that the wind turbine rotor aerodynamic imbalance self-correction device and method according to the exemplary embodiments of this disclosure can rely entirely on the operation of computer programs or instructions to realize the corresponding functions. That is, each device corresponds to each step in the functional architecture of the computer program, so that the entire system is called through a special software package (e.g., a lib library) to realize the corresponding functions.

[0065] On the other hand, when Figure 2 When the systems and apparatus shown are implemented as software, firmware, middleware, or microcode, the program code or code segment used to perform the corresponding operation can be stored in a computer-readable medium such as a storage medium, such that at least one processor or at least one computing device can perform the corresponding operation by reading and running the corresponding program code or code segment.

[0066] For example, according to an exemplary embodiment of this application, a computer device including a readable medium storing computer program instructions may be provided, wherein the instructions, when executed by at least one computing device, cause the at least one computing device to perform the following steps: acquiring acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set, wherein the fore-and-aft acceleration of the nacelle of the wind turbine generator set is related to the blade operating angle of the impeller of the wind turbine generator set; analyzing the acquired acceleration data samples to obtain a quantitative index of impeller aerodynamic imbalance, and determining whether the impeller is in an aerodynamic imbalance state based on the comparison result of the quantitative index of impeller aerodynamic imbalance with a predetermined threshold; when it is determined that the impeller is in an aerodynamic imbalance state, optimizing and correcting the blade operating angle of the impeller.

[0067] Specifically, the system described above can be deployed on a server or client, or on nodes in a distributed network environment. Furthermore, the system can be a PC, tablet, personal digital assistant, smartphone, web application, or other device capable of executing the aforementioned set of instructions. Additionally, the system may include a video display (such as a liquid crystal display) and a user interface (such as a keyboard, mouse, touch input device, etc.). Moreover, all components of the system can be interconnected via a bus and / or network.

[0068] Here, the system is not necessarily a single system, but can be a collection of any devices or circuits capable of executing the above instructions (or instruction sets) individually or in combination. The system can also be part of an integrated control system or system manager, or can be configured to interface with a portable electronic device locally or remotely (e.g., via wireless transmission).

[0069] In the system, the at least one computing device may include a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller, or a microprocessor. By way of example and not limitation, the at least one computing device may also include an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, etc. The computing device may execute instructions or code stored in one of a storage devices, wherein the storage device may also store data. Instructions and data may also be sent and received over a network via a network interface device, wherein the network interface device may employ any known transport protocol.

[0070] Storage devices can be integrated with computing devices, for example, by placing RAM or flash memory within an integrated circuit microprocessor. Alternatively, storage devices can include separate devices, such as external disk drives, storage arrays, or other storage devices usable by any database system. Storage devices and computing devices can be operatively coupled, or can communicate with each other, for example, via I / O ports, network connections, etc., enabling the computing device to read instructions stored in the storage device.

[0071] Although this application has been specifically shown and described with reference to exemplary embodiments thereof, those skilled in the art should understand that various changes in form and detail may be made thereto without departing from the spirit and scope of this application as defined by the claims.

Claims

1. A self-correcting device for aerodynamic imbalance of a wind turbine rotor, characterized in that, include: The data acquisition unit is configured to acquire acceleration data samples in the fore-and-aft direction of the nacelle of the wind turbine generator set, wherein the fore-and-aft acceleration of the nacelle of the wind turbine generator set is related to the blade running angle of the impeller of the wind turbine generator set. The state identification unit is configured to analyze the acceleration data samples collected by the data acquisition unit to obtain a quantitative index of turbine aerodynamic imbalance, and determine whether the turbine is in an aerodynamic imbalance state based on the comparison result of the quantitative index of turbine aerodynamic imbalance and a predetermined threshold. The predetermined threshold is determined based on the hardware design of the wind turbine generator set, the installation status of the wind turbine generator set, the operating status of the wind turbine generator set, and the terrain and meteorological conditions where the wind turbine generator set is located. The predetermined threshold is set separately for different wind turbine generator sets or for different wind turbine generator set models. The self-correcting unit is configured to optimize and correct the blade angle of the impeller when it is determined that the impeller is in an aerodynamically unbalanced state. The data acquisition unit is configured to acquire a predetermined number of acceleration data samples, and... The state identification unit is configured to perform spectral analysis on each acceleration data sample to extract its frequency domain energy amplitude, and set the mean of the frequency domain energy amplitudes of the predetermined number of acceleration data samples as the impeller aerodynamic imbalance quantification index. The self-correction unit is configured to optimize and correct the operating angle of each blade through the following operations: When optimizing and correcting the operating angle of the current blade, the current blade is made to operate in each of the multiple preset operating angle modes for the current blade in sequence. The impeller aerodynamic imbalance quantification index for each impeller angle operating mode is obtained through the data acquisition unit and the state recognition unit. The impeller angle corresponding to the impeller angle operating mode with the optimal impeller aerodynamic imbalance quantification index is determined as the optimal impeller angle for the current blade, and the operating impeller angle of the current blade is corrected to the determined optimal impeller angle. Specifically, when the current blade is running in each blade angle operation mode, only the operating blade angle of the current blade is modified to the blade angle corresponding to that blade angle operation mode. The predetermined threshold is adjusted when the optimal blade angle is the same as the operating blade angle of the current blade, or when the quantification index of the impeller aerodynamic imbalance of the current blade is the minimum value among the quantification indices of the impeller aerodynamic imbalance of each of the multiple preset blade angle operation modes.

2. The apparatus as claimed in claim 1, characterized in that, The data acquisition unit is configured to collect acceleration data samples in the forward and backward directions of the nacelle of the wind turbine generator set when the wind turbine generator set is running at its rated speed and without pitch control.

3. The apparatus as described in claim 1, characterized in that, The frequency domain energy amplitude is the first harmonic energy amplitude.

4. A self-correction method for aerodynamic imbalance of a wind turbine rotor, characterized in that, include: Acceleration data samples in the forward and backward direction of the nacelle of the wind turbine generator set are collected, wherein the forward and backward acceleration of the nacelle of the wind turbine generator set is related to the blade running angle of the impeller of the wind turbine generator set; The collected acceleration data samples are analyzed to obtain a quantitative index of turbine aerodynamic imbalance. The turbine aerodynamic imbalance quantitative index is compared with a predetermined threshold to determine whether the turbine is in an aerodynamic imbalance state. The predetermined threshold is determined based on the hardware design of the wind turbine, the installation of the wind turbine, the operating status of the wind turbine, and the terrain and meteorological conditions where the wind turbine is located. The predetermined threshold is set separately for different wind turbines or for different wind turbine models. When it is determined that the impeller is in aerodynamically unbalanced state, the operating angle of the impeller blades is optimized and corrected. The step of collecting acceleration data samples includes: collecting a predetermined number of acceleration data samples. and, The steps of performing spectral analysis on the acceleration data samples to obtain quantitative indicators of turbine aerodynamic imbalance include: For each acceleration data sample, a spectral analysis is performed to extract its frequency domain energy amplitude, and the mean of the frequency domain energy amplitudes of the predetermined number of acceleration data samples is set as the quantification index of the turbine aerodynamic imbalance. The steps for optimizing and correcting the operating angle of each blade include: When optimizing and correcting the operating angle of the current blade, the current blade is made to operate in each of the multiple preset operating angle modes for the current blade in sequence. The impeller aerodynamic imbalance quantification index is obtained for each impeller angle operating mode. The impeller angle corresponding to the impeller angle operating mode with the optimal impeller aerodynamic imbalance quantification index is determined as the optimal impeller angle for the current blade, and the operating impeller angle of the current blade is corrected to the determined optimal impeller angle. Specifically, when the current blade is running in each blade angle operation mode, only the operating blade angle of the current blade is modified to the blade angle corresponding to that blade angle operation mode. The predetermined threshold is adjusted when the optimal blade angle is the same as the operating blade angle of the current blade, or when the quantification index of the impeller aerodynamic imbalance of the current blade is the minimum value among the quantification indices of the impeller aerodynamic imbalance of each of the multiple preset blade angle operation modes.

5. The method as described in claim 4, characterized in that, The steps for collecting acceleration data samples include: when the wind turbine is running at its rated speed and without pitch adjustment, collecting acceleration data samples in the forward and backward directions of the nacelle of the wind turbine.

6. The method as described in claim 4, characterized in that, The frequency domain energy amplitude is the first harmonic energy amplitude.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions that, when executed by a processor, implement the method as described in any one of claims 4 to 6.

8. A computer device comprising a readable medium storing computer program instructions, characterized in that, The computer program instructions include instructions for performing the method as described in any one of claims 4 to 6.

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