Wind turbine generator hub Myz load control method and system

Abstract

The embodiment of the invention provides a wind turbine generator hub Myz load control method and system, and belongs to the technical field of wind power. The method comprises the steps of periodically monitoring wind speed information of a hub operation interface, and triggering a Myz load suppression scheme when the wind speed information is greater than a preset wind speed; on the basis of the Myz load suppression scheme, the azimuth angle of a wind wheel of the current wind turbine generator is monitored in real time; determining the occurrence azimuth angle of the Myz load extreme value of each hub of the current wind turbine generator; and when the azimuth angle of the wind wheel of the current wind turbine generator is close to the azimuth angle generated by the Myz load extreme value of each hub of the current wind turbine generator and reaches a preset approaching amount, executing one-time variable pitch angle increasing adjustment. According to the scheme, complex load conditions under high wind speed and turbulence conditions can be effectively handled, the service life of the unit is prolonged, and the overall operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power, and in particular to a wind turbine hub Myz load control method and a wind turbine hub Myz load control system. Background Art

[0002] With the continuous increase in the capacity of wind turbines, the adaptability and reliability of wind turbines are facing higher requirements, especially in terms of performance under extreme weather conditions. Among them, the Myz load of the wind turbine hub (bending moment load at the wind turbine hub, especially the bending moment around the y-axis and z-axis) is one of the main factors affecting the service life of key components such as the main bearing and the frame. Most of the existing wind turbine design and control technologies follow standards such as GL (Germanischer Lloyd) and IEC (International Electrotechnical Commission), which require the calculation of the load from the cut-in wind speed to the cut-out wind speed during the operation of the unit. However, in actual applications, with the increase of wind speed, especially in strong winds and turbulent conditions, the load conditions faced by wind turbines become more complicated.

[0003] The current wind turbine blade design reduces blade stress by adjusting the pitch angle at high wind speeds, but the unbalanced load on the hub still increases significantly under extreme turbulence conditions. During the simulation process, the Myz load on the hub usually reaches an extreme value when the wind speed segment is cut out. This phenomenon may cause the unbalanced load of the unit to change dramatically under certain operating conditions, directly affecting the long-term stability and life of the unit. In addition, due to the different blade designs of wind turbines of different models, the azimuth positions of the hub Myz extreme values ​​are different. This difference increases the difficulty of system optimization and fault prediction, and also poses a challenge to the general control strategy of wind turbines.

[0004] Existing solutions mainly rely on empirical models and preset safety margins to deal with the above problems. Although these methods can alleviate excessive load fluctuations to a certain extent, they cannot fundamentally solve the problem of drastic changes in hub unbalanced loads under extreme wind speed conditions, especially when there are large differences in blade design. The adaptability of existing control strategies is limited. Therefore, how to more accurately control the hub Myz load, especially under extreme wind speed and turbulence conditions, has become a key technical issue in improving the overall performance of wind turbines. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method for controlling the Myz load of a wind turbine hub, so as to at least solve the problem that the existing solutions cannot solve the problem that the unbalanced load of the hub changes dramatically under extreme wind speed conditions.

[0006] In order to achieve the above-mentioned objectives, the first aspect of the present invention provides a method for controlling the Myz load of a wind turbine hub, the method comprising: periodically monitoring the wind speed information of the hub operation interface, and triggering a Myz load suppression scheme when the wind speed information is greater than a preset wind speed; based on the Myz load suppression scheme, real-time monitoring the azimuth of the wind rotor of the current wind turbine; determining the azimuth at which the Myz load extreme values ​​of each hub of the current wind turbine occur; and when the azimuth of the wind rotor of the current wind turbine approaches the azimuth at which the Myz load extreme values ​​of each hub of the current wind turbine occur and reaches a preset approach amount, performing a pitch angle increase adjustment.

[0007] Optionally, determining the azimuth of each hub Myz load extreme value of the current wind turbine group includes: under preset wind speed conditions, continuously monitoring the operating azimuth of the current wind turbine group and the hub Myz load corresponding to each operating azimuth angle as a test sample; determining the median of the load hub Myz load in the test sample, and identifying the proportion of each hub Myz load exceeding the median; taking the hub Myz load whose proportion exceeding the median is greater than a preset proportion threshold as a candidate hub Myz load extreme value; performing clustering on each candidate hub Myz load extreme value to determine multiple hub Myz load extreme values ​​whose azimuth difference is greater than a preset azimuth difference threshold; and determining the azimuth corresponding to each hub Myz load extreme value as the azimuth of each hub Myz load extreme value of the current wind turbine group.

[0008] Optionally, clustering is performed on each candidate wheel hub Myz load extreme value to determine a plurality of wheel hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold, including: based on a preset number of clusters for a preset azimuth angle extreme value, randomly selecting a corresponding number of wheel hub Myz load extreme value basic values ​​from each candidate wheel hub Myz load extreme value as initial cluster center points; traversing all candidate wheel hub Myz load extreme values, respectively calculating the Euclidean distance between each candidate wheel hub Myz load extreme value and each initial cluster center point, and clustering each candidate wheel hub Myz load extreme value based on the calculation results. The selected wheel hub Myz load extreme values ​​are respectively classified to the initial cluster center points with the smallest Euclidean distance to obtain clusters corresponding to the preset number of clusters; for each cluster, the average value of the wheel hub Myz load extreme values ​​of each cluster is calculated, and the average value is used as the new cluster center point, and the clustering of each candidate wheel hub Myz load extreme value is repeated until the cluster center points of each cluster remain unchanged, and the wheel hub Myz load extreme value corresponding to the final cluster center point of each cluster is used as the determined wheel hub Myz load extreme value with multiple azimuth angle differences greater than the preset azimuth angle difference threshold.

[0009] Optionally, when the azimuth angle of the wind rotor of the current wind turbine group approaches the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine group occurs, and reaches a preset approach value, the corresponding pitch angle adjustment rule is as follows: when the azimuth angle of the wind rotor of the current wind turbine group approaches the azimuth angle at which the Myz load extreme value of the next hub occurs, the absolute value of the difference between the azimuth angle of the wind rotor of the current wind turbine group and the azimuth angle at which the Myz load extreme value of the next hub occurs is compared in real time; when the absolute value of the difference is equal to the preset approach value, a pitch angle increase instruction is triggered; based on the pitch angle increase instruction, the pitch angle of each blade is adjusted based on the corresponding increase adjustment amount.

[0010] Optionally, the rule for determining the corresponding increase adjustment amount is: determine whether there is a user-preset increase adjustment amount, and if so, use the user-preset increase adjustment amount as the corresponding increase adjustment amount to be executed; if not, generate the increase adjustment amount based on the design parameters of the current wind turbine set and the wind speed information of the current hub operation interface.

[0011] Optionally, the design parameters include: any one or more of blade weight, blade stiffness, blade lift-drag coefficient, blade installation angle, blade installation cone angle; and maximum load capacity of the hub.

[0012] Optionally, the increasing adjustment amount is generated based on the design parameters of the current wind turbine and the wind speed information of the current hub operating interface, including: determining the maximum wind speed that each blade can withstand within the adjustable range of the pitch angle based on the design parameters without triggering the maximum load-bearing capacity of the hub; determining the pitch angles of each blade corresponding to each maximum wind speed as the basic pitch angle; obtaining the target pitch angles corresponding to each wind speed based on a preset design margin and the basic pitch angle; determining the corresponding increasing adjustment amount to be executed based on the target pitch angle that matches the wind speed information of the current hub operating interface and the blade pitch angle of the current wind turbine.

[0013] Optionally, the method also includes: when the azimuth angle of the wind rotor of the current wind turbine group passes through the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine group occurs and moves away from a preset distance, performing a pitch angle recovery adjustment, including: in the process of the azimuth angle of the wind rotor of the current wind turbine group passing through the azimuth angle at which the current hub Myz load extreme value occurs and gradually moving away from the azimuth angle, comparing in real time the absolute value of the difference between the azimuth angle of the wind rotor of the current wind turbine group and the azimuth angle at which the corresponding next hub Myz load extreme value occurs; when the absolute value of the difference is equal to a preset proximity amount, triggering a pitch angle recovery instruction; and adjusting the pitch angle of each blade to the original value based on the pitch angle recovery instruction.

[0014] A second aspect of the present invention provides a wind turbine hub Myz load control system, the system comprising: a trigger unit, used to periodically monitor the wind speed information of the hub operation interface, and trigger a Myz load suppression scheme when the wind speed information is greater than a preset wind speed; a monitoring unit, used to monitor the azimuth of the wind rotor of the current wind turbine in real time based on the Myz load suppression scheme; a processing unit, used to determine the azimuth of the Myz load extreme value of each hub of the current wind turbine; an adjustment unit, used to perform a pitch angle increase adjustment when the azimuth of the wind rotor of the current wind turbine approaches the azimuth of the Myz load extreme value of each hub of the current wind turbine and reaches a preset approach amount.

[0015] On the other hand, the present invention provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned wind turbine hub Myz load control method.

[0016] Through the above technical scheme, the scheme of the present invention significantly improves the stability and life of the wind turbine by periodically monitoring the wind speed information and starting the Myz load suppression scheme when the wind speed exceeds the preset value. The core is to monitor the azimuth of the wind rotor in real time and perform pitch angle adjustment near the azimuth where the hub Myz load extreme value occurs. In this way, intervention can be made before the load reaches the extreme value, reducing load fluctuations and reducing the impact of unbalanced loads on key components of the wind turbine. When the wind speed falls below the preset value, the system stops the suppression scheme to avoid unnecessary energy consumption and adjustment operations. This dynamic control mechanism can effectively cope with complex load conditions under high wind speed and turbulent conditions, extend the service life of the unit, and improve overall operating efficiency.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0019] Figure 1 It is a flow chart of steps of a method for controlling the Myz load of a wind turbine hub provided by an embodiment of the present invention;

[0020] Figure 2 It is a diagram of the wind rotor azimuth angle and the hub Myz load before implementing the wind turbine hub Myz load control method provided by an embodiment of the present invention;

[0021] Figure 3A diagram of the wind turbine hub Myz load after implementing a method for controlling the wind turbine hub Myz load provided by an embodiment of the present invention;

[0022] Figure 4 It is a system structure diagram of a wind turbine hub Myz load control system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0023] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0024] Figure 1 1 is a flow chart of a method for controlling the Myz load of a wind turbine hub provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for controlling the Myz load of a wind turbine hub, the method comprising:

[0025] Step S10: Periodically monitor the wind speed information of the hub operation interface, and trigger the Myz load suppression scheme when the wind speed information is greater than a preset wind speed.

[0026] Specifically, by periodically monitoring the wind speed information of the hub operation interface, when the wind speed information exceeds the preset threshold, the Myz load suppression scheme is automatically triggered to reduce the force fluctuation and equipment wear of the wind turbine under strong wind conditions. For example, the system can be set to start the suppression scheme when the 3-second average wind speed is greater than 20m / s, so as to quickly respond to the impact of extreme wind speed on the hub and the unit.

[0027] In one possible implementation, the system collects wind speed information at regular intervals through a wind speed sensor installed near the hub. By setting a monitoring cycle (such as collecting wind speed data once a second and calculating the 3-second average wind speed), the system can promptly determine the changing trend of wind speed. Wind speed data is not only used to monitor wind speed information, but also can be combined with historical data to analyze the fluctuation pattern of wind speed to further optimize the accuracy of the scheme triggering. The preset wind speed threshold can be adjusted according to the wind field conditions and design characteristics of wind turbines in different regions. For example, in areas where the wind speed changes more drastically, the threshold can be set lower to start the Myz load suppression scheme in advance, while in areas where the wind speed is relatively stable, the threshold can be set relatively high to reduce unnecessary suppression operations.

[0028] Furthermore, once the system detects that the wind speed exceeds the preset threshold, the suppression scheme is immediately activated. This real-time response mechanism can ensure that the wind turbine takes effective measures immediately to reduce the occurrence of load peaks when the wind speed increases rapidly. The mechanism can dynamically adjust the trigger time and suppression intensity according to the frequency and amplitude of wind speed changes to ensure that each startup can achieve the best effect. When the wind speed exceeds the preset value and triggers the Myz load suppression scheme, the system will continue to monitor wind speed fluctuations. If the wind speed changes frequently in a short period of time (for example, the wind speed exceeds 20m / s instantly and then falls back quickly), the system can automatically determine whether to maintain the suppression scheme according to the set time window. This design can avoid frequent starting or stopping of the suppression scheme due to excessive wind speed fluctuations, reduce unnecessary operations, and ensure the smooth operation of wind turbines under extreme wind speeds.

[0029] Based on the scheme of the present invention, the wind turbine can effectively cope with the extreme load changes caused by high wind speed. The wind speed is monitored periodically and a reasonable preset threshold is set to ensure that the suppression scheme is activated in time when the wind speed exceeds the safe range, reduce the fluctuation amplitude of the hub Myz load, and reduce the fatigue damage of key components. This scheme can not only extend the service life of the unit, but also reduce equipment maintenance and downtime under high wind conditions, and improve the overall power generation efficiency.

[0030] Step S20: Based on the Myz load suppression scheme, the azimuth angle of the wind turbine rotor is monitored in real time.

[0031] In one possible implementation, an encoder is installed on the shaft of the wind rotor or at an appropriate position, and the encoder is capable of measuring and outputting the precise azimuth of the wind rotor. The encoder usually has high resolution and fast response characteristics, and can capture small changes in the azimuth of the wind rotor in real time. The data collected by the encoder is transmitted to the main control system in real time via a high-speed communication interface (such as Ethernet or a wireless transmission system). This fast data transmission ensures that the control center can receive the latest operating data in real time. The central control system is designed with a special interface for real-time display of the azimuth of the wind rotor and other key performance parameters. This design helps operators to instantly understand the operating status of the entire wind farm and perform necessary operations or adjustments.

[0032] Step S30: determining the azimuth angle of occurrence of the Myz load extreme value of each hub of the current wind turbine generator set.

[0033] Specifically, under preset wind speed conditions, the operating azimuth of the current wind turbine and the hub Myz load corresponding to each operating azimuth are continuously monitored as test samples; the median of the hub Myz load is determined in the test samples, and the proportion of each hub Myz load exceeding the median is identified; the hub Myz load whose proportion exceeding the median is greater than a preset proportion threshold is taken as a candidate hub Myz load extreme value; clustering is performed on each candidate hub Myz load extreme value to determine multiple hub Myz load extreme values ​​whose azimuth difference is greater than a preset azimuth difference threshold; the azimuth corresponding to each hub Myz load extreme value is determined as the azimuth at which each hub Myz load extreme value of the current wind turbine occurs.

[0034] In an embodiment of the present invention, clustering is performed on each candidate wheel hub Myz load extreme value to determine a plurality of wheel hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold, including: based on a preset number of clusters for a preset azimuth angle extreme value, randomly selecting a corresponding number of wheel hub Myz load extreme value basic values ​​from each candidate wheel hub Myz load extreme value as initial cluster center points; traversing all candidate wheel hub Myz load extreme values, respectively calculating the Euclidean distance between each candidate wheel hub Myz load extreme value and each initial cluster center point, and based on the calculation results The Myz load extreme values ​​of each candidate wheel hub are respectively classified to the initial cluster center point with the smallest Euclidean distance to obtain clusters corresponding to the preset number of clusters; for each cluster, the average value of the wheel hub Myz load extreme values ​​of each cluster is calculated, and the average value is used as the new cluster center point, and the clustering of the Myz load extreme values ​​of each candidate wheel hub is repeated until the cluster center point of each cluster remains unchanged, and the wheel hub Myz load extreme value corresponding to the final cluster center point of each cluster is used as the determined wheel hub Myz load extreme value with multiple azimuth angle differences greater than the preset azimuth angle difference threshold.

[0035] In the embodiment of the present invention, the median Myz load of each test sample is calculated to determine the typical level of hub load. The system analyzes the proportion of each hub Myz load exceeding the median, identifies and marks abnormal load values ​​exceeding a preset proportion threshold, and these are regarded as candidate hub Myz load extremes.

[0036] Furthermore, when performing cluster analysis of the Myz load extreme values ​​of the wind turbine hub, the system first randomly selects a corresponding number of basic values ​​from all candidate load extreme values ​​as the initial cluster center points according to the preset number of clusters. Although this step is based on random selection, by introducing a pre-processing screening step such as based on azimuth, the initial selection of the center points can be optimized to ensure that these center points are as dispersed as possible in azimuth and load values, thereby increasing the effectiveness and accuracy of the clustering effect. The system analyzes each candidate hub Myz load extreme value and calculates the Euclidean distance between it and each initial cluster center point. This calculation takes into account the two key dimensions of load size and azimuth. The calculation of the Euclidean distance not only reflects the physical distance, but also characterizes the similarity in operating parameters, so that the system can effectively classify each candidate extreme value into the nearest cluster center point based on these distances. Such a grouping method helps to ensure that similar extreme values ​​are grouped into the same group, making it easier to process and interpret in subsequent analysis.

[0037] Furthermore, based on the preliminary clustering, the system continues to calculate the average Myz load of all candidate extrema in each cluster, and sets the average as the new cluster center. The repeated execution of this step is the core of the iterative process. The system gradually optimizes the clustering results by continuously updating the cluster center. After each iteration, the system evaluates the degree of change of the cluster center. If the difference between the new cluster center and the old cluster center tends to be small or stable, it indicates that the clustering has begun to converge.

[0038] Furthermore, after clustering converges, the cluster center points finally determined by the system represent a set of optimized hub Myz load extremes whose azimuth difference is greater than the preset azimuth difference threshold. The accurate identification and positioning of these extreme points are crucial for the subsequent operation and maintenance of wind turbines and the formulation of adjustment strategies. Through this clustering analysis, the system can more accurately predict and manage the performance and risks of wind turbines under different operating conditions, optimize the operating configuration of the wind rotor, and reduce potential risks caused by load fluctuations, thereby improving the overall operating efficiency and unit safety.

[0039] In one possible implementation, the extreme values ​​of the Myz load on the hub of a certain wind turbine occur at azimuth angles of 96°, 208°, and 331°, which basically conforms to the rule of an interval of about 120° (three blades are spaced 120° apart). Therefore, the most preferred method is to set the preset number of clusters of the preset azimuth angle difference to 3. Of course, in order to achieve more refined load suppression, other numbers of clusters can be set.

[0040] Based on the solution of the present invention, through sophisticated cluster analysis, the azimuths where load extremes occur can be determined more accurately. These angles are key points for future monitoring and overload prevention. The clustering results help the operation and maintenance team identify which azimuths require special attention for load extremes, so that subsequent load suppression can be performed at the corresponding locations.

[0041] Step S40: When the azimuth angle of the wind rotor of the current wind turbine generator set approaches the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine generator set occurs and reaches a preset approach value, a pitch angle increase adjustment is performed.

[0042] Specifically, when the azimuth angle of the wind rotor of the current wind turbine group approaches the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine group occurs, and reaches a preset approach value, the corresponding pitch angle adjustment rule is as follows: when the azimuth angle of the wind rotor of the current wind turbine group approaches the azimuth angle at which the Myz load extreme value of the next hub occurs, the absolute value of the difference between the azimuth angle of the wind rotor of the current wind turbine group and the azimuth angle at which the Myz load extreme value of the next hub occurs is compared in real time; when the absolute value of the difference is equal to the preset approach value, a pitch angle increase instruction is triggered; based on the pitch angle increase instruction, the pitch angle of each blade is adjusted based on the corresponding increase adjustment amount.

[0043] In an embodiment of the present invention, the control system of the wind turbine generator set continuously monitors the azimuth of the current wind rotor, and calculates in real time the absolute value of the difference between the azimuth of the current wind rotor and the azimuth of the next predetermined hub Myz load extreme value. When the azimuth of the wind rotor approaches the azimuth of the next hub Myz load extreme value, the system compares the difference between the current azimuth and the extreme value azimuth. The system is provided with a preset approach value (e.g., 5°) to determine the critical distance between the azimuth of the wind rotor and the azimuth of the next Myz load extreme value. When the absolute value of the azimuth difference is equal to the preset approach value, the system automatically triggers an instruction to increase the pitch angle. This instruction is based on an assessment of the current load condition and is intended to optimize the angle of attack of the blade to reduce the upcoming load peak. According to the triggered pitch angle increase instruction, the control system accurately adjusts the pitch angle of each blade. The size of the adjustment amount is set according to the actual operating conditions and the predetermined increase adjustment amount to ensure that each blade can meet the high load state at the optimal angle of attack.

[0044] Based on the solution of the present invention, by adjusting the pitch angle at critical moments, it is possible to effectively manage and reduce load peaks caused by changes in wind speed or azimuth, thereby reducing structural stress and potential damage. Precise pitch angle adjustment enables the wind rotor to maintain optimal performance under various wind conditions, optimizes energy capture and conversion efficiency, and thus improves overall power generation efficiency. Reducing wear and fatigue caused by extreme loads helps to extend the service life of wind turbines and reduce maintenance and replacement costs. The system can predict and prepare for upcoming high-load events, enhance the adaptability of wind turbines to unstable meteorological conditions, and improve the overall operational stability.

[0045] Preferably, the determination rule of the corresponding increase adjustment amount is: determine whether there is an increase adjustment amount preset by the user. If so, use the increase adjustment amount preset by the user as the corresponding increase adjustment amount to be executed; if not, generate the increase adjustment amount based on the design parameters of the current wind turbine set and the wind speed information of the current hub operation interface.

[0046] Furthermore, the design parameters include: any one or more of blade weight, blade stiffness, blade lift-drag coefficient, blade installation angle, blade installation cone angle; and maximum load-bearing capacity of the hub.

[0047] Furthermore, the generation of the increased adjustment amount based on the design parameters of the current wind turbine generator set and the preset wind speed includes: determining the maximum wind speed that each blade can withstand within the adjustable range of the pitch angle based on the design parameters without triggering the maximum load-bearing capacity of the hub; determining the pitch angles of each blade corresponding to each maximum wind speed as the basic pitch angle; obtaining the target pitch angles corresponding to each wind speed based on the preset design margin and the basic pitch angle; determining the corresponding increased adjustment amount to be executed based on the target pitch angle matched with the wind speed information of the current hub operation interface and the blade pitch angle of the current wind turbine generator set.

[0048] In an embodiment of the present invention, the system first checks whether there is a user-preset increase adjustment. If so, the preset value will be directly used as the adjustment to be executed. This step allows the operator to pre-set the adjustment based on experience or specific operating conditions, providing a fast-response adjustment mechanism. If there is no preset adjustment, the system will automatically generate an increase adjustment based on the current wind turbine design parameters and real-time wind speed information. This includes parameters such as the weight, stiffness, lift-drag coefficient, installation angle and cone angle of the blade, as well as the maximum load capacity of the hub.

[0049] Furthermore, based on the design parameters of the wind turbine, the system calculates the maximum wind speed that each blade can withstand within its adjustable pitch angle range. This calculation takes into account the physical and mechanical properties of the blades to ensure that the maximum efficiency of the blades is achieved without exceeding the maximum load-bearing capacity of the hub. Subsequently, the basic pitch angle of each blade corresponding to these maximum wind speeds is determined, and combined with the preset design margin, the target pitch angle corresponding to each wind speed is generated. According to the actual wind speed displayed on the current hub operating interface, the system matches the closest target pitch angle. Then, by comparing the pitch angle of the current blade with the target pitch angle, the corresponding increase adjustment amount (for example, an increase of 2°) that needs to be performed is determined.

[0050] Based on the solution of the present invention, the blade angle is precisely adjusted to adapt to different wind speeds, maximizing wind energy capture, thereby improving the overall power generation efficiency. Timely adjustment of the blade angle can reduce the mechanical stress caused by sudden changes in wind speed and extend the service life of the blades and other key components. It ensures that the blades will not exceed the designed load limit at various wind speeds, enhancing the stability and safety of the entire system. Through preset and dynamically generated adjustment strategies, the operation and maintenance costs caused by emergency maintenance and fault repair are reduced.

[0051] Furthermore, when the azimuth angle of the wind rotor of the current wind turbine group passes through the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine group occurs and moves away from the preset distance, the corresponding pitch angle adjustment rule is: in the process that the azimuth angle of the wind rotor of the current wind turbine group passes through the azimuth angle at which the current hub Myz load extreme value occurs and gradually moves away from the azimuth angle, the absolute value of the difference between the azimuth angle of the wind rotor of the current wind turbine group and the azimuth angle at which the corresponding next hub Myz load extreme value occurs is compared in real time; when the absolute value of the difference is equal to the preset proximity amount, the pitch angle recovery instruction is triggered; based on the pitch angle recovery instruction, the pitch angle of each blade is adjusted to the original value.

[0052] In an embodiment of the present invention, the azimuth angle of the wind turbine rotor of the current wind turbine is continuously monitored, and the absolute value of the difference between the azimuth angle and the next hub Myz load extreme azimuth angle is calculated in real time. When the azimuth angle of the wind rotor exceeds the extreme point, the system monitors the distance between the azimuth angle and the extreme point to ensure that the pitch angle can be adjusted in real time during the process of moving away. Once the absolute value of the azimuth angle difference is equal to the preset distance, the system will trigger the pitch angle recovery command. The purpose of this command is to adjust the pitch angle of the blade from a possible high-load response state back to its original or optimized angle setting. Based on the recovery command, the control system automatically adjusts the pitch angle of each blade to the preset original value. The adjustment process is optimized to ensure a smooth transition and prevent additional loads or damage caused by rapid changes.

[0053] Based on the scheme of the present invention, the capture and conversion efficiency of wind energy is maximized by ensuring that the blade pitch angle remains in an ideal state under different wind speeds and wind rotor orientations. Restoring the pitch angle to the original setting can reduce excessive wear and fatigue that may be caused by coping with high loads, thereby extending the life of the blades and other key structural components. By automatically restoring the pitch angle setting, the system can avoid structural safety issues that may be caused by being at a non-optimal angle for a long time. The system's automatic response mechanism enables the wind turbine to quickly adapt to changing environmental conditions, ensuring continuity and stability of operation.

[0054] Preferably, if the wind speed information of the hub operation interface in the latest cycle is not greater than the preset wind speed, the Myz load suppression scheme is stopped from being triggered.

[0055] Specifically, wind speed data is monitored in real time through wind speed sensors installed on the hub. These sensors provide accurate wind speed readings so that the system can respond based on real-time data. When the monitored wind speed is lower than the preset wind speed threshold, the system automatically decides not to trigger the Myz load suppression scheme. This decision is based on a simple but effective logic: when the wind speed is low, the wind load on the wind rotor is reduced, so that the Myz load does not reach a level that may cause structural problems.

[0056] Based on the solution of the present invention, the system triggers the suppression scheme only when the wind speed exceeds the threshold, avoiding unnecessary adjustments when the wind speed is low and the rotor load is light, thereby saving energy and reducing mechanical wear. By avoiding adjustments to the rotor under low wind speed conditions, the wind turbine can operate at a higher efficiency because the pitch angle remains in the optimal power generation state instead of being frequently adjusted to adapt to unnecessary load changes. Avoiding excessive operation of wind turbines under low load conditions helps to reduce mechanical fatigue and reduce maintenance requirements, thereby extending the service life of the equipment. Precisely controlling the triggering of the suppression scheme not only reduces the number of maintenance times, but also optimizes operating costs. This strategy ensures that intervention is only performed when it is really needed, avoiding increased maintenance costs due to frequent adjustments.

[0057] In a possible embodiment, Figure 2 , the image shows the change of hub Myz load corresponding to different azimuth angles within one rotation of the wind rotor before the application of the solution of the present invention. When the wind speed is 20m / s, it can be seen that the extreme values ​​of hub Myz mainly appear at azimuth angles of 96°, 208° and 331°, which basically conforms to the rule of 120° blade spacing. This is because the load on each blade within one rotation of the wind rotor is periodic, and each blade will generate a larger Myz load when reaching certain azimuth angles during the rotation process, which is manifested as an obvious extreme point.

[0058] Further, such as Figure 3, showing the change of hub Myz load corresponding to different azimuth angles within one rotation of the wind rotor after applying the solution of the present invention. By implementing the control solution in the patent, the adjustment effect of the Myz load is very obvious. By comparing the hub Myz loads at around 96°, 208° and 331°, it can be seen that Figure 3 Compared to Figure 2 The extreme value of hub Myz is reduced by about 10%. For example, before implementation, when the azimuth angle is around 208°, the corresponding hub Myz load extreme value is about 3300kNm, while after implementation of the scheme of the present invention, when the azimuth angle is around 208°, the hub Myz load extreme value is reduced to about 2400kNm. It can be seen that this control not only has a significant effect on reducing the extreme value, but also avoids the shortening of the unit life and component damage caused by excessive load under high wind speed.

[0059] Figure 4 1 is a system structure diagram of a wind turbine hub Myz load control system provided by an embodiment of the present invention. Figure 4 As shown, an embodiment of the present invention provides a wind turbine hub Myz load control system, the system comprising: a trigger unit, for periodically monitoring the wind speed information of the hub operation interface, and triggering the Myz load suppression scheme when the wind speed information is greater than a preset wind speed; a monitoring unit, based on the Myz load suppression scheme, monitoring the azimuth of the wind rotor of the current wind turbine in real time; an adjustment unit, for performing a pitch angle adjustment once when the azimuth of the wind rotor of the current wind turbine approaches the azimuth at which the Myz load extreme values ​​of each hub of the current wind turbine occur, and when the azimuth of the wind rotor of the current wind turbine passes through the azimuth at which the Myz load extreme values ​​of each hub of the current wind turbine occur and moves away from the preset distance; a switching unit, for stopping the triggering of the Myz load suppression scheme if the wind speed information of the hub operation interface in the latest cycle is not greater than the preset wind speed.

[0060] On the other hand, the present invention provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned wind turbine hub Myz load control method.

[0061] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0062] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0063] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for controlling the Myz load of a wind turbine hub, characterized in that: The method comprises: Periodically monitor the wind speed information of the hub operation interface, and trigger the Myz load suppression scheme when the wind speed information is greater than a preset wind speed; Based on the Myz load suppression scheme, the azimuth angle of the wind turbine rotor is monitored in real time; Determine the azimuth angle of the Myz load extreme value of each hub of the current wind turbine; When the azimuth angle of the wind rotor of the current wind turbine generator set approaches the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine generator set occurs and reaches a preset approach value, a pitch angle increase adjustment is performed.

2. The method according to claim 1, characterized in that Determine the azimuth angle of the Myz load extreme value of each hub of the current wind turbine, including: Under the preset wind speed conditions, the operating azimuth of the current wind turbine and the hub Myz load corresponding to each operating azimuth are continuously monitored as test samples; Determining a median Myz load of loaded hubs in the test sample and identifying the proportion of each hub Myz load that exceeds the median; The hub Myz load whose proportion exceeding the median is greater than a preset proportion threshold is taken as a candidate hub Myz load extreme value; Perform clustering on each candidate hub Myz load extreme value to determine a plurality of hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold; The azimuth angle corresponding to the Myz load extreme value of each hub will be determined as the azimuth angle of the Myz load extreme value of each hub of the current wind turbine generator set.

3. The method according to claim 2, characterized in that Clustering is performed on each candidate hub Myz load extreme value to determine a plurality of hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold, including: Based on the preset number of clusters of the preset azimuth extreme value, a corresponding number of hub Myz load extreme value basic values ​​are randomly selected from each candidate hub Myz load extreme value as the initial cluster center points; Traverse all candidate wheel hub Myz load extreme values, calculate the Euclidean distance between each candidate wheel hub Myz load extreme value and each initial cluster center point, and classify each candidate wheel hub Myz load extreme value to the initial cluster center point with the smallest Euclidean distance based on the calculation results, and obtain clusters corresponding to the preset number of clusters; For each cluster, the average value of the wheel hub Myz load extreme values ​​of each cluster is calculated, and the average value is used as the new cluster center point. The clustering of the candidate wheel hub Myz load extreme values ​​is repeated until the cluster center points of each cluster remain unchanged. The wheel hub Myz load extreme values ​​corresponding to the final cluster center points of each cluster are used as the determined wheel hub Myz load extreme values ​​with multiple azimuth angle differences greater than the preset azimuth angle difference threshold.

4. The method according to claim 1, characterized in that: When the azimuth angle of the wind turbine rotor of the current wind turbine is close to the azimuth angle where the Myz load extreme value of each hub of the current wind turbine occurs and reaches a preset approach value, the corresponding pitch angle adjustment rule is: When the azimuth angle of the wind turbine rotor of the current wind turbine is close to the azimuth angle at which the next wheel hub Myz load extreme value occurs, the absolute value of the difference between the azimuth angle of the wind turbine rotor of the current wind turbine and the azimuth angle at which the next wheel hub Myz load extreme value occurs is compared in real time; When the absolute value of the difference is equal to the preset approach value, a pitch angle increase instruction is triggered; Based on the pitch angle increase instruction, the pitch angle of each blade is adjusted based on the corresponding increase adjustment amount.

5. The method according to claim 4, characterized in that The determination rule of the corresponding increase adjustment amount is: Determine whether there is an increase adjustment amount preset by the user, and if so, use the increase adjustment amount preset by the user as the corresponding increase adjustment amount to be executed; If it does not exist, the increase adjustment amount is generated based on the design parameters of the current wind turbine set and the wind speed information of the current hub operation interface.

6. The method according to claim 5, characterized in that The design parameters include: Any one or more of blade weight, blade stiffness, blade lift-drag coefficient, blade mounting angle, blade mounting cone angle; and the maximum load-bearing capacity of the hub.

7. The method according to claim 5, characterized in that The generating of the increase adjustment amount based on the design parameters of the current wind turbine generator set and the wind speed information of the current hub operation interface includes: Based on the maximum load capacity of the hub without triggering, the maximum wind speed that each blade can withstand within the adjustable range of the pitch angle is determined based on the design parameters; Determine the pitch angle of each blade corresponding to each maximum wind speed as the basic pitch angle; Based on the preset design margin and the basic pitch angle, a target pitch angle corresponding to each wind speed is obtained; Based on the target pitch angle matched with the wind speed information of the current hub operation interface and the blade pitch angle of the current wind turbine generator set, the corresponding increase adjustment amount to be executed is determined.

8. The method according to claim 1, characterized in that The method further comprises: When the azimuth angle of the wind turbine rotor of the current wind turbine generator set passes through the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine generator set occurs and moves away from the preset distance, a pitch angle recovery adjustment is performed, including: When the azimuth angle of the wind rotor of the current wind turbine generator set passes through the azimuth angle at which the current hub Myz load extreme value occurs and gradually moves away from the azimuth angle, the absolute value of the difference between the azimuth angle of the wind rotor of the current wind turbine generator set and the azimuth angle at which the next hub Myz load extreme value occurs is compared in real time; When the absolute value of the difference is equal to the preset approach value, a pitch angle recovery instruction is triggered; The pitch angle of each blade is adjusted to an original value based on the pitch angle recovery instruction.

9. A wind turbine hub Myz load control system, characterized in that: The system comprises: A trigger unit, used for periodically monitoring the wind speed information of the hub operation interface, and triggering the Myz load suppression scheme when the wind speed information is greater than a preset wind speed; A monitoring unit, used for monitoring the azimuth angle of the wind turbine rotor in real time based on the Myz load suppression scheme; A processing unit, used to determine the azimuth angle of the Myz load extreme value of each hub of the current wind turbine; The adjustment unit is used to perform a pitch angle increase adjustment when the azimuth angle of the wind rotor of the current wind turbine generator set approaches the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine generator set occurs and reaches a preset approach amount.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the wind turbine hub Myz load control method according to any one of claims 1 to 8.

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