Wind turbine hub myz load control method and system

Abstract

The embodiment of the application provides a kind of wind turbine hub Myz load control method and system, belong to wind power technical field.The method comprises: periodically monitoring the wind speed information of hub operation interface, when the wind speed information is greater than preset wind speed, Myz load suppression scheme is triggered;Based on the Myz load suppression scheme, the azimuth of current wind turbine wind wheel is monitored in real time;Determine the azimuth of each hub Myz load extreme value of current wind turbine;When the azimuth of current wind turbine wind wheel is close to the azimuth of each hub Myz load extreme value of current wind turbine and reaches preset close amount, execute once the adjustment of increasing pitch angle.The application scheme can effectively deal with the complex load condition under high wind speed and turbulent flow condition, prolong the service life of unit, improve overall operation efficiency.

Description

TECHNICAL FIELD

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

[0002] With the continuous increase of single machine capacity of wind turbines, the adaptability and reliability of wind turbines are facing higher requirements, especially the performance under extreme weather conditions. Among them, the Myz load of the wind turbine hub (the 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 main bearings and frames. The existing wind turbine design and control technology mostly follows the standards of GL (Germanischer Lloyd) and IEC (International Electrotechnical Commission), which requires calculating the load from the cut-in wind speed to the cut-out wind speed during the operation of the unit. However, in actual application, as the wind speed increases, especially in strong wind and turbulent flow conditions, the load condition faced by the wind turbine becomes more complex.

[0003] The current wind turbine blade design reduces the stress on the blade by adjusting the pitch angle at high wind speeds, but in extreme turbulent flow conditions, the unbalanced load of the hub still increases significantly. In the simulation process, the Myz load of the hub usually appears an extreme value at the cut-out wind speed section. This phenomenon may cause the unbalanced load of the unit to change dramatically under certain working conditions, directly affecting the long-term stability and life of the unit. In addition, due to the different designs of wind turbine blades of different models, the azimuth angle position of the Myz extreme value of the hub is 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] The existing scheme mainly relies on empirical models and preset safety margins when dealing with the above problems. Although these methods can alleviate the excessive fluctuation of the load to some extent, they cannot fundamentally solve the problem of dramatic changes in the unbalanced load of the hub under extreme wind speed conditions, especially in the case of large differences in blade design, the adaptability of the existing control strategy is limited. Therefore, how to more accurately control the Myz load of the hub, especially under extreme wind speed and turbulent flow conditions, has become a key technical problem to improve the overall performance of wind turbines. SUMMARY

[0005] The purpose of the embodiments of the present application is to provide a wind turbine hub Myz load control method to at least solve the problem that the existing scheme cannot solve the dramatic change in the unbalanced load of the hub under extreme wind speed conditions.

[0006] In order to achieve the above object, the application provides a wind turbine hub Myz load control method, which comprises the following steps: periodically monitoring wind speed information of a hub operation interface, 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, monitoring a current wind turbine wind wheel azimuth angle in real time; determining a current wind turbine hub Myz load extreme value azimuth angle; when the current wind turbine wind wheel azimuth angle is close to the current wind turbine hub Myz load extreme value azimuth angle by a preset close amount, performing a one-time pitch angle increase adjustment.

[0007] Optionally, the determination of the current wind turbine hub Myz load extreme value azimuth angle comprises the following steps: under the condition of the preset wind speed, continuously monitoring the operation azimuth angle of the current wind turbine and the hub Myz load corresponding to each operation azimuth angle as test samples; determining a hub Myz load median in the test samples and identifying the proportion of each hub Myz load exceeding the median; taking the hub Myz load with a proportion exceeding the median 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 a plurality of hub Myz load extreme values with a difference in azimuth angle greater than a preset azimuth angle difference threshold; and taking the azimuth angle corresponding to each hub Myz load extreme value as the current wind turbine hub Myz load extreme value azimuth angle.

[0008] Optionally, the clustering of each candidate hub Myz load extreme value to determine a plurality of hub Myz load extreme values with a difference in azimuth angle greater than a preset azimuth angle difference threshold comprises the following steps: based on a preset azimuth angle extreme value and a preset clustering number, randomly selecting a corresponding number of hub Myz load extreme value basis values from each candidate hub Myz load extreme value as initial clustering center points; traversing all candidate hub Myz load extreme values, respectively calculating the Euclidean distance between each candidate hub Myz load extreme value and each initial clustering center point, and based on the calculation result, respectively classifying each candidate hub Myz load extreme value to the initial clustering center point with the minimum Euclidean distance to obtain a clustering corresponding to the preset clustering number; for each clustering, calculating the average value of the hub Myz load extreme values of each clustering, and taking the average value as a new clustering center point, repeating the clustering of each candidate hub Myz load extreme value until the clustering center points of each clustering are unchanged, and taking the hub Myz load extreme value corresponding to the final clustering center point of each clustering as the determined plurality of hub Myz load extreme values with a difference in azimuth angle greater than a preset azimuth angle difference threshold.

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

[0010] Optionally, the determination rule of the corresponding increasing adjustment amount is: whether a user preset increasing adjustment amount exists is determined, if the user preset increasing adjustment amount exists, the user preset increasing adjustment amount is taken as the corresponding increasing adjustment amount to be executed; and if the user preset increasing adjustment amount does not exist, an increasing adjustment amount is generated based on the wind speed information of the current hub operating interface of the current wind turbine.

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

[0012] Optionally, the generation of the increasing adjustment amount based on the design parameters of the current wind turbine and the wind speed information of the current hub operating interface includes: based on the design parameters, the maximum bearing wind speed of each blade in the pitch angle adjustable range is determined without triggering the maximum hub bearing capacity; the corresponding pitch angle of each blade at each maximum bearing wind speed is determined as a basic pitch angle; based on a preset design margin and the basic pitch angle, the corresponding target pitch angle of each wind speed is obtained; and based on the target pitch angle matched by the wind speed information of the current hub operating interface and the pitch angle of the blade of the current wind turbine, the corresponding increasing adjustment amount to be executed is determined.

[0013] Optionally, the method further includes: when the azimuth angle of the current wind turbine rotor passes the azimuth angle at which the maximum hub Myz load of the current wind turbine occurs and moves away by a preset moving away amount, a pitch angle recovery adjustment is performed once, including: during the process that the azimuth angle of the current wind turbine rotor passes the azimuth angle at which the maximum hub Myz load of the current wind turbine occurs and gradually moves away from the azimuth angle, the absolute value of the difference between the azimuth angle of the current wind turbine rotor and the azimuth angle at which the next maximum hub Myz load occurs is compared in real time; when the absolute value of the difference is equal to the preset approach amount, a pitch angle recovery instruction is triggered; and the pitch angle of each blade is adjusted to an original value based on the pitch angle recovery instruction.

[0014] The second aspect of the present application provides a wind turbine hub Myz load control system, the system comprising: a triggering unit for periodically monitoring wind speed information of a hub operating interface, triggering a Myz load suppression scheme when the wind speed information is greater than a preset wind speed; a monitoring unit for monitoring the azimuth angle of the current wind turbine rotor based on the Myz load suppression scheme; a processing unit for determining the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine occurs; and an adjusting unit for performing an increase adjustment of the pitch angle when the azimuth angle of the current wind turbine rotor is close to the azimuth angle at which the Myz load extreme value of each hub of the current wind turbine occurs by a preset close amount.

[0015] In another aspect, the present application provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, cause the computer to perform the wind turbine hub Myz load control method described above.

[0016] Through the above technical solution, the present application scheme periodically monitors wind speed information and starts the Myz load suppression scheme when the wind speed exceeds the preset value, significantly improving the stability and service life of the wind turbine. The core is to monitor the azimuth angle of the rotor in real time and perform pitch angle adjustment near the azimuth angle at which the Myz load extreme value of the hub occurs. This can intervene before the load reaches the extreme value, reduce load fluctuations, and reduce the impact of unbalanced load 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, prolong the service life of the unit, and improve the overall operating efficiency.

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

[0018] The accompanying drawings are included to provide a further understanding of the present application and constitute a part of the specification, which together with the detailed description, serve to explain the present application. The drawings are not intended to limit the present application, and in the drawings:

[0019] Figure 1 is a step flow chart of the wind turbine hub Myz load control method provided by an embodiment of the present application;

[0020] Figure 2 is a rotor azimuth angle-hub Myz load diagram before the wind turbine hub Myz load control method is implemented according to an embodiment of the present application;

[0021] Figure 3is a wind turbine hub Myz load control method provided by an embodiment of the present application, and a wind wheel azimuth-hub Myz load diagram after the wind turbine hub Myz load control method is provided by an embodiment of the present application.

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

[0023] The specific embodiments of the present application are described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application.

[0024] Figure 1 is a method flow chart of a wind turbine hub Myz load control method provided by an embodiment of the present application. As shown in Figure 1 , the present application provides a wind turbine hub Myz load control method, which comprises:

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

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

[0027] In a possible embodiment, the system collects wind speed information through a wind speed sensor installed near the hub. By setting a monitoring period (such as collecting wind speed data every second and calculating 3-second average wind speed), the system can timely judge the change trend of wind speed. The wind speed data is not only used for monitoring the wind speed information, but also can be combined with historical data to analyze the fluctuation mode of wind speed, and further optimize the accuracy of the scheme triggering. The preset wind speed threshold can be adjusted according to the wind field conditions of different regions and the design characteristics of the wind turbine. For example, in the region where the wind speed changes relatively sharply, the threshold can be set relatively low, so as to start the Myz load suppression scheme in advance, while in the region where the wind speed is relatively stable, the threshold can be set relatively high, so as to reduce unnecessary suppression operation.

[0028] Further, when the system detects that the wind speed exceeds the preset threshold, the suppression scheme is immediately started. This real-time response mechanism can ensure that the wind turbine immediately takes effective measures to reduce the occurrence of load peaks in the case of rapid increase in wind speed. The mechanism can dynamically adjust the trigger time and suppression strength according to the frequency and amplitude of the wind speed changes, to ensure that each start 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 the fluctuations in wind speed. If the wind speed changes frequently in a short period of time (for example, the wind speed exceeds 20 m / s momentarily and then falls rapidly), the system can automatically determine whether to maintain the suppression scheme according to the set time window. This design can avoid frequent start and stop of the suppression scheme due to too frequent fluctuations in wind speed, reduce unnecessary operations, and at the same time ensure the smooth operation of the wind turbine under extreme wind speed.

[0029] Based on the scheme of the application, the wind turbine can effectively cope with the extreme load changes caused by high wind speed. Periodic monitoring of wind speed and setting of reasonable preset threshold values ensures that the suppression scheme is started in time when the wind speed exceeds the safe range, reduces the fluctuation amplitude of the hub Myz load, and reduces the fatigue damage of key components. This scheme not only prolongs the service life of the unit, but also reduces equipment maintenance and downtime under strong wind conditions, and improves overall power generation efficiency.

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

[0031] In one possible implementation, an encoder is installed on the shaft or a suitable position of the rotor, which can measure and output the accurate azimuth angle of the rotor. The encoder usually has high resolution and fast response characteristics, and can capture the small changes in the azimuth angle of the rotor in real time. The data collected by the encoder is transmitted to the main control system in real time through 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 operation data in time. The main control system is designed with a special interface for real-time display of the azimuth angle of the rotor and other key performance parameters. Such a design helps operators to immediately understand the operation state of the entire wind farm and make necessary operations or adjustments.

[0032] Step S30: Determine the azimuth angle at which the Myz load extreme value of the current wind turbine occurs.

[0033] Specifically, under a preset wind speed condition, the running azimuth angle of the current wind turbine and the hub Myz load corresponding to each running azimuth angle 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 a plurality of hub Myz load extreme values with an azimuth angle difference greater than a preset azimuth angle difference threshold; and the azimuth angle corresponding to each hub Myz load extreme value is determined as the azimuth angle at which the hub Myz load extreme value of the current wind turbine occurs.

[0034] In the embodiment of the application, the clustering of each candidate hub Myz load extreme value to determine a plurality of hub Myz load extreme values with an azimuth angle difference greater than a preset azimuth angle difference threshold comprises: based on a preset azimuth angle extreme value and a preset clustering number, a corresponding number of hub Myz load extreme value basis values are randomly selected from each candidate hub Myz load extreme value as initial clustering center points; all candidate hub Myz load extreme values are traversed, and the Euclidean distance between each candidate hub Myz load extreme value and each initial clustering center point is calculated respectively, and based on the calculation result, each candidate hub Myz load extreme value is classified into the initial clustering center point with the smallest Euclidean distance to obtain a clustering corresponding to the preset clustering number; for each clustering, the average value of the hub Myz load extreme values of each clustering is calculated, and the average value is taken as a new clustering center point, and the clustering of each candidate hub Myz load extreme value is repeatedly performed until the clustering center points of each clustering are unchanged, and the hub Myz load extreme value corresponding to the final clustering center point of each clustering is taken as the determined plurality of hub Myz load extreme values with an azimuth angle difference greater than a preset azimuth angle difference threshold.

[0035] In the embodiment of the application, the median of the Myz load of each test sample is calculated to determine the typical level of the hub load. The system analyzes the proportion of each hub Myz load exceeding the median, identifies and marks the abnormal load values exceeding the preset proportion threshold, which are considered as candidate hub Myz load extreme values.

[0036] Further, in the clustering analysis of wind turbine hub Myz load extreme values, the system first randomly selects a corresponding number of base values from all candidate load extreme values as initial cluster center points according to the preset cluster number. Although this step is based on random selection, by introducing a preprocessing screening step such as based on the azimuth angle, the initial selection of center points can be optimized to ensure that these center points are as dispersed as possible in terms of azimuth angle and load value, 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 both the load size and the azimuth angle, two key dimensions. The calculation of Euclidean distance not only reflects the physical distance, but also represents the similarity in operating parameters, enabling the system to effectively classify each candidate extreme value into the nearest cluster center point based on these distances. This 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] Further, based on the preliminary clustering, the system continues to calculate the average hub Myz load value of all candidate extreme values within each cluster and sets this average value as the new cluster center point. This repeated execution is the core of the iterative process, and the system gradually optimizes the clustering results by continuously updating the cluster center points. After each iteration, the system assesses the degree of change in the cluster center points. 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] Further, after the clustering converges, the system finally determines the cluster center points that represent a group of optimized hub Myz load extreme values with an azimuth angle difference greater than the preset azimuth angle difference threshold. The accurate identification and positioning of these extreme points are crucial for subsequent wind turbine operation and adjustment strategy formulation. 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 wheel, reduce potential risks caused by load fluctuations, and thus improve overall operating efficiency and turbine safety.

[0039] In one possible implementation, certain wind turbine hub Myz load extreme values occur at azimuth angles of 96°, 208°, and 331°, which basically conform to the rule of being spaced about 120° (three blade intervals of 120°). Therefore, the preset azimuth angle difference and the preset cluster number are most preferably set to 3. Of course, to achieve more refined load suppression, other numbers of cluster numbers can be set.

[0040] Based on the scheme, the azimuth angles of the load extreme values can be determined more accurately through fine clustering analysis, and these angles are key points for future monitoring and prevention of overload. The clustering results help the operation and maintenance team to identify which azimuth angles of the load extreme values need special attention, so that the corresponding positions can be executed during subsequent load suppression.

[0041] Step S40: When the azimuth angle of the current wind turbine rotor is close to the azimuth angle at which the load extreme value of each hub Myz of the current wind turbine occurs, a preset proximity amount is reached, and a one-time pitch angle increase adjustment is performed.

[0042] Specifically, when the azimuth angle of the current wind turbine rotor is close to the azimuth angle at which the load extreme value of each hub Myz of the current wind turbine occurs, a preset proximity amount is reached, and the corresponding pitch angle adjustment rule is: during the process that the azimuth angle of the current wind turbine rotor is close to the azimuth angle at which the next hub Myz load extreme value occurs, the absolute value of the difference between the azimuth angle of the current wind turbine rotor 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 proximity amount, a pitch angle increase instruction is triggered; based on the pitch angle increase instruction, the pitch angle of each blade is adjusted by a corresponding increase adjustment amount.

[0043] In the embodiment of the application, the control system of the wind turbine continuously monitors the azimuth angle of the current rotor and calculates the absolute value of the difference between the azimuth angle and the azimuth angle at which the next predetermined hub Myz load extreme value occurs in real time. When the rotor azimuth angle is close to the azimuth angle at which the next hub Myz load extreme value occurs, the system compares the difference between the current azimuth and the extreme value azimuth. The system is provided with a preset proximity amount (for example, 5°) to determine the critical distance between the rotor azimuth angle and the azimuth angle at which the next Myz load extreme value occurs. When the absolute value of the difference between the azimuth angles is equal to the preset proximity amount, the system automatically triggers a pitch angle increase instruction. This instruction is based on the evaluation of the current load condition and aims to optimize the attack angle of the blades 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, ensuring that each blade can meet the high load state with the best attack angle.

[0044] Based on the scheme, by adjusting the pitch angle at critical moments, the load peaks caused by wind speed changes or azimuth changes can be effectively managed and reduced, thereby reducing structural stress and potential damage. Precise pitch angle adjustment enables the wind rotor to maintain optimal performance under various wind conditions, optimizing energy capture and conversion efficiency and thereby improving overall power generation efficiency. Reducing wear and fatigue caused by load extremes helps to extend the service life of the wind turbine, reducing maintenance and replacement costs. The system can predict and prepare for upcoming high load events, enhancing the wind turbine's ability to adapt to unstable weather conditions and improving overall operational stability.

[0045] Preferably, the determination rule of the corresponding increasing adjustment amount is: judging whether there is a user preset increasing adjustment amount, if there is, taking the user preset increasing adjustment amount as the corresponding increasing adjustment amount to be executed; if not, generating the increasing adjustment amount based on the wind speed information of the current hub operating interface of the current wind turbine design parameter.

[0046] Further, 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 hub maximum bearing capacity.

[0047] Further, the generating of the increasing adjustment amount based on the current wind turbine design parameter and the preset wind speed includes: determining the maximum bearing wind speed of each blade within the variable pitch angle adjustable range based on the design parameter without triggering the hub maximum bearing capacity; determining the corresponding variable pitch angle of each blade at each maximum bearing wind speed as the basic variable pitch angle; obtaining the corresponding target variable pitch angle of each wind speed based on the preset design margin and the basic variable pitch angle; determining the corresponding increasing adjustment amount to be executed based on the target variable pitch angle matched by the wind speed information of the current hub operating interface and the blade variable pitch angle of the current wind turbine.

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

[0049] Further, 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, ensuring that the maximum performance of the blades is achieved without exceeding the maximum load-bearing capacity of the hub. Subsequently, the corresponding base pitch angle of each blade at these maximum withstand wind speeds is determined, and in combination with the pre-set design margin, the target pitch angle at 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 current pitch angle of the blade with the target pitch angle, the corresponding adjustment amount (e.g. increase by 2°) that needs to be executed is determined.

[0050] Based on the scheme of the present application, by precisely adjusting the blade angle to adapt to different wind speeds, the wind energy capture is maximized, thereby improving the overall power generation efficiency. Timely adjusting the blade angle can reduce the mechanical stress caused by sudden changes in wind speed, prolong the service life of the blades and other key components. Ensuring that the blades do not exceed the designed load limit at various wind speeds enhances the stability and safety of the entire system. Through pre-set and dynamically generated adjustment strategies, the operation and maintenance costs caused by emergency maintenance and fault repair are reduced.

[0051] Further, when the azimuth angle of the current wind turbine rotor passes the azimuth angle at which the Myz load extreme value of the current wind turbine occurs and gradually moves away from this azimuth angle by a pre-set moving away amount, the corresponding pitch angle adjustment rule is: in the process of the azimuth angle of the current wind turbine rotor passing the azimuth angle at which the Myz load extreme value of the current wind turbine occurs and gradually moving away from this azimuth angle, the absolute value of the difference between the azimuth angle of the current wind turbine rotor and the azimuth angle at which the Myz load extreme value of the next wind turbine occurs is compared in real time; when the absolute value of the difference is equal to a pre-set approaching amount, a 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 the embodiment of the present application, the azimuth angle of the current wind turbine rotor is continuously monitored, and the absolute value of the difference between the azimuth angle of the current wind turbine rotor and the azimuth angle at which the Myz load extreme value occurs is calculated in real time. When the azimuth angle of the 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 moving away process. Once the absolute value of the difference between the azimuth angles is equal to the pre-set moving away amount, the system will trigger a pitch angle recovery instruction. The purpose of this instruction is to adjust the pitch angle of the blade from the possible high load response state back to its original or optimized angle setting. Based on the recovery instruction, the control system automatically adjusts the pitch angle of each blade to the pre-set original value. The adjustment process is optimized to ensure smooth transition and prevent additional load or damage caused by rapid changes.

[0053] Based on the present solution, 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 dealing with high loads, thereby extending the lifespan 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 in a non-optimal angle for a long time. The automatic response mechanism of the system 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 operating interface in the latest period is not greater than the preset wind speed, the Myz load suppression solution is stopped from triggering.

[0055] Specifically, wind speed data is monitored in real time by 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 solution. This decision is based on a simple but effective logic: when the wind speed is low, the wind load on the wind rotor decreases, so the Myz load does not reach a level that may cause structural problems.

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

[0057] In one possible embodiment, as Figure 2 shown in the figure, the image shows the change in hub Myz load corresponding to different azimuth angles within one rotation of the wind rotor before the present solution is applied. At a wind speed of 20 m / s, it can be seen that the extreme values of hub Myz mainly occur at azimuth angles of 96°, 208° and 331°, basically conforming to the rule of blade spacing of 120°. This is because the load on each blade is periodic within one rotation of the wind rotor, and each blade will produce a larger Myz load when it reaches certain azimuth angles during rotation, resulting in obvious extreme points.

[0058] Further, as Figure 3, it is shown that the Myz load of the hub corresponding to different azimuth angles within one rotation of the wind wheel is changed after the application of the scheme of the application. Through the control scheme in the patent, the adjustment effect of the Myz load is very obvious. By comparing the hub Myz loads at about 96°, 208° and 331° in turn, it can be seen that Figure 3 Compared with Figure 2 The extreme value of the hub Myz is reduced by about 10%. For example, before the implementation, the extreme value of the corresponding hub Myz load is about 3300kNm near the azimuth angle of 208°, while after the implementation of the scheme of the application, the extreme value of the hub Myz load is reduced to about 2400kNm near the same azimuth angle of 208°. It can be seen that this control not only has a significant reduction effect on the extreme value, but also avoids the shortening of the service life of the unit and the damage of the components due to excessive load under high wind speed.

[0059] Figure 4 is a system structure diagram of a hub Myz load control system of a wind turbine provided by an embodiment of the application. As shown in Figure 4 The application provides a hub Myz load control system of a wind turbine, which comprises a triggering unit, a monitoring unit and an adjusting unit. The triggering unit is used for periodically monitoring the wind speed information of a hub operating interface and triggering a Myz load suppression scheme when the wind speed information is greater than a preset wind speed. The monitoring unit is used for monitoring the azimuth angle of a current wind wheel of a wind turbine in real time based on the Myz load suppression scheme. The adjusting unit is used for performing a pitch angle adjustment once when the azimuth angle of the current wind wheel of the wind turbine is close to the azimuth angle at which the extreme value of the Myz load of each hub of the current wind turbine occurs by a preset close amount, and performing a pitch angle adjustment once when the azimuth angle of the current wind wheel of the wind turbine passes through the azimuth angle at which the extreme value of the Myz load of each hub of the current wind turbine occurs and is away from the azimuth angle by a preset away amount. A switching unit is used for stopping the triggering of the Myz load suppression scheme if the wind speed information of the hub operating interface in the latest period is not greater than the preset wind speed.

[0060] On the other hand, the application provides a computer readable storage medium, which stores instructions that make a computer execute the wind turbine hub Myz load control method when the instructions are run on the computer.

[0061] Those skilled in the art can understand that all or part of the steps of the method for implementing the above-mentioned embodiments can be completed by programs instructing relevant hardware, the programs are stored in a storage medium, and the programs include a plurality of instructions for enabling a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.

[0062] The optional embodiments of the present application are described in detail above in combination with the drawings, but the embodiments of the present application are not limited to the specific details in the above-described embodiments. Within the technical concept scope of the embodiments of the present application, various simple modifications can be made to the technical solutions of the embodiments of the present application, and these simple modifications all belong to the protection scope of the embodiments of the present application. In addition, it should be noted that each specific technical feature described in the above-described specific embodiments can be combined in any appropriate manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present application will not be described again for various possible combinations.

[0063] In addition, various different embodiments of the present application can also be combined in any manner, as long as it does not deviate from the idea of the embodiments of the present application, and it should also be considered as disclosed by the embodiments of the present application.

Claims

1. A method for controlling the Myz load of a wind turbine hub, characterized in that: The method comprises: 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; Based on the Myz load suppression scheme, the azimuth angle of the current 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, including: Under preset wind speed conditions, continuously monitor the operating azimuth angle of the current wind turbine and the hub Myz load corresponding to each operating azimuth angle as a test sample; determine the median of the hub Myz load in the test sample, and identify the proportion of each hub Myz load exceeding the median; use the hub Myz load whose proportion exceeding the median is greater than a preset proportion threshold as a candidate hub Myz load extreme value; perform clustering on each candidate hub Myz load extreme value to determine multiple hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold; and use the azimuth angle corresponding to each hub Myz load extreme value as the azimuth angle at which each hub Myz load extreme value of the current wind turbine occurs; Clustering is performed on each candidate hub Myz load extreme value to determine multiple hub Myz load extreme values ​​whose azimuth angle difference is greater than a preset azimuth angle difference threshold, including: presetting the number of clusters based on the preset azimuth angle extreme value, randomly selecting a corresponding number of hub Myz load extreme value basic values ​​from each candidate hub Myz load extreme value as the initial cluster center point; traversing all candidate hub Myz load extreme values, respectively calculating the Euclidean distance between each candidate hub Myz load extreme value and each initial cluster center point, and clustering each candidate hub Myz load extreme value based on the calculation results. The hub Myz load extreme values ​​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 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 candidate hub Myz load extreme values ​​is repeatedly performed until the cluster center point of each cluster remains unchanged, and the hub Myz load extreme value corresponding to the final cluster center point of each cluster is used as the hub Myz load extreme value with multiple azimuth angle differences greater than the preset azimuth angle difference threshold. 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 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 current wind turbine rotor approaches the azimuth angle at which the next hub Myz load extreme value occurs, the absolute value of the difference between the azimuth angle of the current wind turbine rotor 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 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.

3. The method according to claim 2, characterized in that The determination rule of 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 it does not exist, the increase adjustment amount is generated based on the design parameters of the current wind turbine and the wind speed information of the current hub operation interface.

4. The method according to claim 3, 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 capacity of the hub.

5. The method according to claim 3, characterized in that The generating of the increase adjustment amount based on the current design parameters of the 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, the corresponding increase adjustment amount to be executed is determined.

6. 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 passes through the azimuth angle where the Myz load extreme value of each hub of the current wind turbine occurs and moves away from the preset distance, a pitch angle recovery adjustment is performed, including: When the azimuth angle of the current wind turbine rotor passes through the azimuth angle where 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 current wind turbine rotor and the azimuth angle where the next corresponding 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 restoration instruction.

7. A wind turbine hub Myz load control system, characterized in that: The system is applied to the wind turbine hub Myz load control method according to any one of claims 1 to 6, and the system comprises: A trigger unit, configured to periodically monitor wind speed information on the hub operation interface and trigger a Myz load suppression scheme when the wind speed information exceeds a preset wind speed; A monitoring unit, configured to monitor the azimuth angle of the current wind turbine rotor in real time based on the Myz load suppression scheme; A processing unit, used to determine the azimuth angle of occurrence 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 turbine 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.

8. 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 6.

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