Limit load control method and device of wind generating set and computer readable storage medium

Abstract

The invention discloses a limit load control method and device of a wind generating set and a computer readable storage medium. The limit load control method comprises the following steps: estimating a hub load value of the wind generating set based on operating parameters of the wind generating set; and in response to the fact that the estimated hub load value of the wind generating set is larger than a preset protection threshold value, keeping for a first preset time, and executing power limiting operation on the wind generating set so as to reduce the hub load value of the wind generating set. According to the invention, the limit protection function of the wind generating set can be realized, so that reliable guarantee is provided for safe and efficient operation of a wind power plant.

Description

Technical Field

[0001] The present disclosure generally relates to the field of wind power generation technology, and more specifically, to a method and device for controlling a limit load of a wind generator set and a computer-readable storage medium. Background Art

[0002] With the development of wind power generation technology, wind power generation has entered an era of high towers, long blades, and large capacity, and the single-unit capacity of wind turbines is developing towards 4MW and above. At the same time, the early wind turbines put into production have entered a period of frequent failures, and some units have even suffered serious accidents, causing great losses to power generation companies. From a comprehensive analysis, one of the very important reasons is that the online vibration monitoring methods used for early wind turbines are not perfect. The gearbox is one of the most critical components of a wind turbine. Its working environment is very harsh. The size and direction of the load it is subjected to during operation are difficult to predict. The large amount of uncertainty of instantaneous loads and time-varying variable amplitude alternating loads makes the gearbox very prone to failure. Wind turbines are generally installed in remote areas such as the Gobi Desert, the sea, and mountainous areas, and the gearbox is installed in a small cabin tens of meters or even hundreds of meters above the ground. Because of the limited space in the cabin, the harsh environment of the unit, and the inconvenient transportation, it is very difficult to repair the gearbox once it fails. If the gearbox cannot be repaired on the tower after a failure and must be handled below the tower, the maintenance cost is high and the entire maintenance cycle is long, which will seriously affect the economic benefits of the wind farm. Therefore, reducing the probability of failure of the gearbox of the wind turbine and extending its service life has become a hot issue.

[0003] Due to the existence of real wind conditions, wind turbines often operate under uncertain and alternating loads, and components such as gearboxes, main shafts, and bearings are often subjected to impact loads. Therefore, research on the control strategy of the extreme loads (e.g., hub Mx load) of wind turbines is particularly important. Summary of the invention

[0004] To this end, the embodiments of the present disclosure provide a method and device for controlling the extreme load of a wind turbine generator set and a computer-readable storage medium, which can realize the extreme protection function of the wind turbine generator set, thereby providing reliable protection for the safe and efficient operation of the wind farm.

[0005] In a general aspect, a method for controlling a limit load of a wind turbine generator set is provided, the method comprising: estimating a hub load value of the wind turbine generator set based on operating parameters of the wind turbine generator set; in response to the estimated hub load value of the wind turbine generator set being greater than a preset protection threshold for a first predetermined time, performing a power limiting operation on the wind turbine generator set to reduce the hub load value of the wind turbine generator set.

[0006] Optionally, the load control method further includes: after performing a power limiting operation on the wind turbine generator set, in response to an estimated hub load value of the wind turbine generator set being less than the preset protection threshold for a second predetermined time, stopping the power limiting operation, thereby restoring the wind turbine generator set to a normal power generation state.

[0007] Optionally, the step of estimating the hub load value of the wind turbine generator set includes: estimating the hub load value of the wind turbine generator set based on the overall inertia of the wind turbine generator set, the gearbox transmission ratio and the generator speed information.

[0008] Optionally, the preset protection threshold includes protection thresholds under different modes of the wind turbine generator set, wherein, in a specific mode of the wind turbine generator set, in response to an estimated hub load value of the wind turbine generator set being greater than the protection threshold value in the specific mode for a first predetermined time, a power limiting operation is performed on the wind turbine generator set; wherein, in the specific mode of the wind turbine generator set, after the power limiting operation is performed on the wind turbine generator set, in response to an estimated hub load value of the wind turbine generator set being less than the protection threshold value in the specific mode for a second predetermined time, the power limiting operation is stopped.

[0009] Optionally, the specific mode includes a first mode and a second mode, wherein: a protection threshold in the first mode is obtained based on a hub load design boundary value of the wind turbine generator set and a first preset coefficient, and a protection threshold in the second mode is obtained based on the hub load design boundary value and a second preset coefficient, wherein the first preset coefficient is smaller than the second preset coefficient, and the duration of the first predetermined time is smaller than the duration of the second predetermined time.

[0010] Optionally, the first mode refers to a simulation mode during model design of the wind turbine generator set, and the second mode refers to a field mode during testing or operation of the wind turbine generator set.

[0011] Optionally, the first predetermined time is less than 1 second, and the second predetermined time is greater than 100 seconds.

[0012] Optionally, the step of performing power limiting operation on the wind turbine generator set includes: linearly reducing the set power of the wind turbine generator set to a power limiting value, wherein the power limiting value is determined based on a preset power limiting coefficient and a rated power of the wind turbine generator set, and the preset power limiting coefficient is less than 0.95.

[0013] In another general aspect, a computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a processor, the extreme load control method as described above is implemented.

[0014] In another general aspect, there is provided a limit load control device for a wind turbine generator set, the limit load control device comprising: a processor; and a memory storing a computer program, which, when executed by the processor, implements the limit load control method as described above.

[0015] According to the ultimate load control method and device of the wind turbine generator set and the computer-readable storage medium of the embodiments of the present disclosure, by estimating the hub load value of the wind turbine generator set in real time and performing power limiting operation on the wind turbine generator set based on the estimated hub load value and the preset protection threshold, the ultimate load of the hub can be effectively reduced, the load can be prevented from exceeding the design range, the wind turbine generator set (especially the gearbox) can be protected, and the life of the wind turbine generator set (especially the gearbox) can be extended.

[0016] On the other hand, according to the extreme load control method and device of the wind turbine generator set and the computer-readable storage medium of the embodiment of the present disclosure, the load reduction of the wind turbine generator set is realized from the perspective of the control strategy, without modifying the hardware structure of the wind turbine generator set. Compared with various popular neural network algorithms, the extreme load control method has low requirements for computing hardware, does not require additional hardware equipment when implemented, and is simple to implement, highly reliable, and has a small amount of calculation, and can be executed on-site at the wind farm through the PLC of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects and features of the embodiments of the present disclosure will become more apparent through the following description in conjunction with the accompanying drawings showing the embodiments, in which:

[0018] Figure 1 is a flow chart showing a method for controlling a limit load of a wind turbine generator set according to an embodiment of the present disclosure;

[0019] Figure 2 is a diagram showing an example of executing a limit load control method of a wind turbine generator set in a simulation mode of the wind turbine generator set according to an embodiment of the present disclosure;

[0020] Figure 3 and Figure 4 is a diagram showing an example of whether a limit load control method of a wind turbine generator set according to an embodiment of the present disclosure is executed in a simulation mode;

[0021] Figure 5A and Figure 5B is a diagram showing an example of executing a limit load control method of a wind turbine generator set in a field mode according to an embodiment of the present disclosure;

[0022] Fig. 6A and Figure 6Bis a diagram showing an example of executing a limit load control method of a wind turbine generator set in a field mode according to an embodiment of the present disclosure;

[0023] Figure 7 is a block diagram showing a limit load control device of a wind turbine generator set according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] The following specific embodiments are provided to help the reader obtain a comprehensive understanding of the methods, devices and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the methods, devices and / or systems described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and simplicity, the description of features known in the art may be omitted.

[0025] At present, the limit load protection scheme for gearboxes is mainly limited to the rationalization of gearbox mechanism design, operating status monitoring and fault diagnosis. For the aspect of gearbox mechanism design, it mainly involves mechanical structure, and there is very little research on control strategy. For the aspect of gearbox operating status monitoring and fault diagnosis, it involves fault detection and fault diagnosis technology, which usually requires the installation of additional sensors and measuring equipment, thus increasing the cost of the unit. At the same time, the algorithm complexity of fault detection and fault diagnosis technology is high, and the amount of calculation is large. For the PLC used on site, the computing load is too large, and it cannot be implemented in a large number of wind farms. For example, the neural network algorithm, which is a research hotspot, is relatively complex and has a large amount of calculation. The on-site PLC cannot realize real-time calculation, and if the server is added, the cost of the wind farm will increase. In addition, the existing neural network algorithm has not yet seen actual data support, and it is impossible to verify whether it can be implemented in an actual wind farm.

[0026] To this end, according to an embodiment of the present disclosure, a method and device for controlling the limit load of a wind turbine generator set and a computer-readable storage medium are provided, which can effectively reduce the limit load of the hub, protect the wind turbine generator set (especially the gearbox), and extend the life of the wind turbine generator set (especially the gearbox); on the other hand, the method and device are simple, reliable, and require little calculation, and can be executed on-site at a wind farm through the PLC of the wind turbine generator set.

[0027] Refer to the following Figures 1 to 7 A method and apparatus for controlling a limit load of a wind turbine generator set and a computer-readable storage medium according to an embodiment of the present disclosure are described in detail.

[0028] Figure 1is a flow chart showing a method for controlling a limit load of a wind turbine generator system according to an embodiment of the present disclosure.

[0029] Reference Figure 1 In step S101, the hub load value of the wind turbine generator set is estimated based on the operating parameters of the wind turbine generator set.

[0030] Specifically, in step S101, the hub load value (e.g., Mx load value) of the wind turbine generator set may be estimated in real time based on the overall inertia of the wind turbine generator set, the gearbox transmission ratio, and the generator speed information. Here, the overall inertia of the wind turbine generator set may include at least the hub inertia, the generator inertia, the gearbox inertia, and the coupling inertia of the wind turbine generator set.

[0031] On the other hand, the low-speed shaft pneumatic torque (Taero) can be used instead of the hub load value. In this way, the hub load value can be accurately estimated without additional sensors and without increasing hardware costs, thereby providing basic data and reference for gearbox limit load protection.

[0032] According to an embodiment of the present disclosure, based on the inertia information of the wind turbine, the gearbox transmission ratio, the generator speed information and the generator torque demand, and according to the force relationship of the transmission chain of the wind turbine, the low-speed shaft aerodynamic torque (Taero) of the wind turbine can be estimated as the hub load value of the wind turbine, as shown in the following formula (1).

[0033]

[0034] Here, J hub represents the hub inertia of the wind turbine generator set, G represents the gearbox transmission ratio, J3 represents the sum of the gearbox and generator inertia, Indicates the rate of change of generator speed, T e Indicates the generator torque demand.

[0035] Next, in step S102, in response to the estimated hub load value of the wind turbine generator set being greater than the preset protection threshold for a first predetermined time (e.g., T1), a power limiting operation is performed on the wind turbine generator set to reduce the hub load value of the wind turbine generator set. Specifically, when performing the power limiting operation, the set power of the wind turbine generator set can be linearly reduced to the power limiting value (e.g., reduced to the power limiting value at a certain slope). The power limiting value can be determined based on a preset power limiting coefficient and the rated power of the wind turbine generator set, and the preset power limiting coefficient is less than 0.95. Here, in order to prevent excessive power limiting from causing the power generation to fail to meet the standard and to achieve the purpose of gearbox protection, the preset power limiting coefficient is generally taken between 0.8 and 0.95. However, the present disclosure is not limited to this, and the preset power limiting coefficient may also be greater than 0.95 or less than 0.8.

[0036] According to the embodiments of the present disclosure, the control strategy of a wind turbine is directly related to its power generation efficiency and stability. However, the traditional control strategy is often too simple and extensive. By analyzing the historical data and real-time data of the wind farm, a comprehensive database can be established with the help of an artificial intelligence algorithm. In this way, in the limit load control method of a wind turbine, based on big data and artificial intelligence algorithms, the optimal power limit coefficient and power change slope can be obtained by learning and training through the analysis and mining of the historical data of the wind farm, so as to balance the power generation and stability of the wind turbine and optimize the limit load control method. In this way, based on data-driven and big data analysis and training to obtain the optimal load reduction related parameters, various possible faults in the power reduction process can be quickly identified and predicted, and the optimal control parameters of the wind turbine can be obtained by training. Compared with the traditional limit load protection method, the artificial intelligence algorithm can provide more accurate and efficient protection control capabilities, greatly improving the reliability and safety of wind turbines.

[0037] Optionally, after the power limiting operation is performed on the wind turbine generator set, in step S103, in response to the estimated hub load value of the wind turbine generator set being less than the preset protection threshold for a second predetermined time (e.g., T2), the power limiting operation is stopped, thereby restoring the wind turbine generator set to a normal power generation state. In this way, a balance can be achieved between the safety and power generation of the wind turbine generator set, thereby avoiding excessive power generation loss.

[0038] According to an embodiment of the present disclosure, the limit load control method can be executed in different modes of the wind turbine generator set. Therefore, the preset protection threshold may include protection thresholds in different modes of the wind turbine generator set. In this way, in a specific mode of the wind turbine generator set, in response to the estimated hub load value of the wind turbine generator set being greater than the protection threshold value in the specific mode for a first predetermined time, a power limiting operation can be performed on the wind turbine generator set, and in a specific mode of the wind turbine generator set, after the power limiting operation is performed on the wind turbine generator set, in response to the estimated hub load value of the wind turbine generator set being less than the protection threshold value in the specific mode for a second predetermined time, the power limiting operation can be stopped. The protection thresholds in different modes may be different from each other.

[0039] According to an embodiment of the present disclosure, a specific mode of a wind turbine generator set may include a first mode and a second mode. Here, the first mode may refer to a simulation mode during the model design of the wind turbine generator set, and the second mode may refer to a field mode during the test or operation of the wind turbine generator set. In other words, the load control method can be implemented in the actual stage and the test / operation stage of the wind turbine generator set, and on the one hand, the performance of the load control method can be verified in the design stage, and on the other hand, a verified and effective load control method can be applied in the test / operation stage. Further, the protection threshold in the first mode can be obtained based on the hub load design boundary value of the wind turbine generator set and the first preset coefficient, and the protection threshold in the second mode can be obtained based on the hub load design boundary value and the second preset coefficient. Here, the first preset coefficient may be less than the second preset coefficient, and the duration of the first predetermined time (e.g., T1) may be less than the duration of the second predetermined time (e.g., T2).

[0040] For example, the first preset coefficient may be between 0.8 and 0.95, and the second preset coefficient may be greater than or equal to 1.2. However, the present disclosure is not limited thereto, and the values ​​of the first preset coefficient and the second preset coefficient may be different from the above examples, as long as the first preset coefficient is less than the second preset coefficient. In this way, the protection threshold in the first mode will be smaller, thereby ensuring that the power limiting operation can be triggered quickly to determine whether the extreme load control plays an applied role, while the protection threshold in the second mode is relatively large, thereby ensuring that the power limiting operation is not triggered frequently and the power generation demand is met as much as possible.

[0041] For another example, the first predetermined time may be less than 1 second, and the second predetermined time may be greater than 100 seconds. Here, in order to ensure the safety of the wind turbine generator set as soon as possible, the cut-in time (i.e., the first predetermined time T1) may be as short as possible, for example, less than 0.3 seconds, and in order to avoid the loss of power generation of the wind turbine generator set, the cut-in time (i.e., the first predetermined time T2) may be appropriately short, for example, less than 200 seconds.

[0042] According to the limit load control method of the wind turbine generator set of the embodiment of the present disclosure, by estimating the hub load value of the wind turbine generator set in real time and performing power limiting operation on the wind turbine generator set based on the estimated hub load value and the preset protection threshold, the hub limit load can be effectively reduced, the gearbox of the wind turbine generator set can be protected, and the life of the gearbox of the wind turbine generator set can be extended. At the same time, the limit load control method does not need to modify the hardware structure of the wind turbine generator set. Compared with various popular neural network algorithms, it has low requirements for computing hardware, is simple to implement, has high reliability and small amount of calculation, and can be executed on-site at the wind farm through the PLC of the wind turbine generator set.

[0043] Figures 2 to 6Bis a diagram showing an application example of the limit load control method of a wind turbine generator system according to an embodiment of the present disclosure.

[0044] Figure 2 1 is a diagram showing an example of executing a limit load control method of a wind turbine generator set in a simulation mode of the wind turbine generator set according to an embodiment of the present disclosure. Figure 2 In FIG. 2 , a curve diagram of the hub load value estimated by the limit load control method and the simulated hub load value output by the Bladed simulation software under different wind speeds is shown, the horizontal axis represents time in milliseconds (ms), the vertical axis represents load value in Newton meters (Nm), curve 201 shows the estimated hub load value HubMxEst [Nm], and curve 202 shows the simulated hub load value Mbx1+2+3 [Nm]. As shown in FIG. 2 , under different wind speeds (for example but not limited to 5m / s, 7m / s, 9m / s, 11m / s, 13m / s, 15m / s, 17m / s, 19m / s, 21m / s, 23m / s), the estimated hub load value shown in curve 201 and the simulated hub load value shown in curve 202 have the same trend, and curve 201 can envelop curve 202, that is, the estimated hub load value can cover the simulated hub load value. It can be seen that in the simulation mode, the limit load control method of the wind turbine generator set according to the embodiment of the present disclosure can accurately estimate the hub load value, thereby ensuring stable and reliable execution of power limiting operation and providing a basis for model design.

[0045] Figure 3 and Figure 4 is a diagram showing an example of whether the limit load control method of a wind turbine generator set according to an embodiment of the present disclosure is executed in a simulation mode. Figure 3 , a comparison of the maximum values ​​of the wheel hub Mx load before and after the execution of the limit load control method is shown, the horizontal axis represents various loads, the vertical axis represents contrast (%), the bar graph 301 shows the maximum value of the wheel hub Mx load when the limit load control method is not executed, and the bar graph 302 shows the maximum value of the wheel hub Mx load when the limit load control method is executed. Figure 4 , the change of the hub Mx load under different wind speeds is shown, the horizontal axis represents the wind speed, the unit is meter / second (m / s), the vertical axis represents the load value, the unit is kilonewton-meter (KNm), curve 401 shows the change of the hub Mx load when the limit load control method is not executed, and curve 402 shows the change of the hub Mx load when the limit load control method is executed. Figure 3 and Figure 4 As shown, when the limit load control method is executed, by performing a power limiting operation when the hub Mx load exceeds a preset protection threshold, the hub Mx load can be effectively reduced by about 7%, thereby improving the reliability and safety of the wind turbine generator set.

[0046] Figure 5A and Figure 5B 1 is a diagram showing an example of executing a limit load control method of a wind turbine generator set in a field mode according to an embodiment of the present disclosure. Figure 5A and Figure 5B , the change of hub Mx load under different wind speeds is shown, the horizontal axis represents time, the unit is milliseconds (ms), the vertical axis represents the load value, the unit is Newton meter (Nm), curve 501 shows the hub load value estimated by the limit load control method, and curve 502 shows the measured hub load value. According to the embodiment of the present disclosure, the blade root swing direction bending moment and the blade root flapping direction bending moment can be collected by a blade root load sensor (such as but not limited to Fos4x optical fiber blade root load sensor) to synthesize and obtain the measured hub load value. Specifically, the blade root swing direction bending moment M of a single blade can be measured by be , blade root flapping direction bending moment M bf and pitch angle θ, and then sum to obtain the measured hub load value M hubx ,Right now, in, i represents the leaf number, and its value is 1, 2, or 3.

[0047] According to an embodiment of the present disclosure, the following Table 1 shows an example of comparison between estimated hub load values ​​and measured hub load values ​​at different wind speeds.

[0048] Table 1

[0049]

[0050] like Figure 5A and Figure 5B As shown in Table 1, at typical wind speeds (including but not limited to 4m / s, 6m / s, 8m / s, 10m / s, 12m / s, 14m / s, 16m / s), the estimated hub load value shown in curve 501 and the measured hub load value shown in curve 502 have the same trend and small deviation. For example, at a wind speed of 10m / s, the waveforms of curve 501 and curve 502 are basically the same, the ratio of the maximum value of the estimated hub load value to the maximum value of the measured hub load value is 1.0083, the ratio of the minimum value of the estimated hub load value to the minimum value of the measured hub load value is 1.0852, the ratio of the average value of the estimated hub load value to the average value of the measured hub load value is 1.0417, and the maximum deviation is only about 8.5%. It can be seen that in the field mode, the limit load control method of the wind turbine generator set according to the embodiment of the present disclosure can accurately estimate the hub load value, thereby ensuring stable and reliable execution of power limiting operation, and providing guarantee for the safe operation of the wind turbine generator set.

[0051] Fig. 6A and Figure 6B1 is a diagram showing an example of executing a limit load control method of a wind turbine generator set in a field mode according to an embodiment of the present disclosure. Fig. 6A and Figure 6B In the figure, the measured hub load value 601, the preset protection threshold 602, the measured power 603 and the set power 604 of the wind turbine generator set, and the grid-connected mark 605 are respectively shown when the limit load control method of the wind turbine generator set according to the embodiment of the present disclosure is executed during different time periods. The grid-connected mark indicates that the wind turbine generator set is operating in a grid-connected state. The horizontal axis represents time in milliseconds (ms), the upper vertical axis represents the load value in Newton-meters (Nm), and the lower vertical axis represents the power value in kilowatts (kW). As described above, the measured hub load value can be synthesized by collecting the blade root swing direction bending moment and the blade root flapping direction bending moment through a blade root load sensor (such as but not limited to a strain gauge blade root load sensor). Fig. 6A As shown, at the time point 19070ms, the measured hub load value reaches the preset protection threshold value 6171000Nm, triggering the power limiting operation (here, as a non-limiting example, the duration of the first predetermined time T1 can be regarded as as small as possible), and the set power of the wind turbine generator set is reduced from 5000Kw to 4500kW (i.e., the power limiting value), and accordingly, the measured power of the wind turbine generator set is reduced. Subsequently, when the measured hub load value is less than the preset protection threshold value for a period of time (i.e., the second predetermined time T2), for example, at the time point 22260ms, the power limiting operation is stopped, and the set power of the wind turbine generator set is restored from 4500kW to 5000kW, so that the wind turbine generator set can generate electricity normally. On the other hand, as Figure 6B As shown, at the time point 11610ms, the measured hub load value reaches the preset protection threshold value 6188000Nm and lasts for the first predetermined time (e.g., 10ms), thereby triggering the power limiting operation. At the time point 11620ms, the set power of the wind turbine generator set is reduced from 5000Kw to 4500kW (i.e., the power limit value), and accordingly, the measured power of the wind turbine generator set is reduced. Subsequently, when the measured hub load value is less than the preset protection threshold value for a period of time (i.e., the second predetermined time T2), for example, at the time point 22280ms, the power limiting operation is stopped, and the set power of the wind turbine generator set is restored from 4500kW to 5000kW, so that the wind turbine generator set can generate electricity normally. Therefore, according to the limit load control method of the wind turbine generator set according to the embodiment of the present disclosure, when the wind turbine generator set is operating on site, a power limiting operation can be performed when the hub load value exceeds a preset protection threshold, so that the hub load value decreases accordingly, and the power limiting operation can be stopped after the hub load value continues to decrease, thereby effectively reducing the hub limit load and providing protection for the safe operation of the wind turbine generator set.

[0052] Figure 7is a block diagram showing a limit load control device of a wind turbine generator set according to an embodiment of the present disclosure. The limit load control device of a wind turbine generator set may be arranged in a main controller of the wind turbine generator set, or in a control device of a wind farm or other remote electronic devices.

[0053] Reference Figure 7 , the extreme load control device 700 includes a processor 710 and a memory 720. The processor 710 may include (but not limited to) a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field programmable gate array (FPGA), a system on a chip (SoC), a microprocessor, an application specific integrated circuit (ASIC), etc. The processor 710 may obtain the operating data of the wind turbine generator set. The memory 720 may store a computer program to be executed by the processor 710. The memory 720 may include a high-speed random access memory and / or a non-volatile computer-readable storage medium. When the processor 710 executes the computer program stored in the memory 720, the extreme load control method of the wind turbine generator set as described above may be implemented.

[0054] The limit load control method of a wind turbine generator set according to an embodiment of the present disclosure may be written as a computer program and stored on a storage medium. When the computer program is executed by a processor, the limit load control method as described above may be implemented. Examples of storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, nonvolatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disk storage, hard disk drive (HDD), solid state drive (SSD), card storage (such as, multimedia card, secure digital (SD) card or extreme digital (XD) card), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk and any other device, any other device is configured to store computer program and any associated data, data files and data structures in a non-transitory manner and provide the computer program and any associated data, data files and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files and data structures are distributed on a networked computer system so that the computer program and any associated data, data files and data structures are stored, accessed and executed in a distributed manner by one or more processors or computers.

[0055] According to the ultimate load control method and device of the wind turbine generator set and the computer-readable storage medium of the embodiments of the present disclosure, by estimating the hub load value of the wind turbine generator set in real time and performing power limiting operation on the wind turbine generator set based on the estimated hub load value and the preset protection threshold, the ultimate load of the hub can be effectively reduced, the load can be prevented from exceeding the design range, the wind turbine generator set (especially the gearbox) can be protected, and the life of the wind turbine generator set (especially the gearbox) can be extended.

[0056] On the other hand, according to the extreme load control method and device of the wind turbine generator set and the computer-readable storage medium of the embodiment of the present disclosure, the load reduction of the wind turbine generator set is realized from the perspective of the control strategy, without modifying the hardware structure of the wind turbine generator set. Compared with various popular neural network algorithms, the extreme load control method has low requirements for computing hardware, does not require additional hardware equipment when implemented, and is simple to implement, highly reliable, and has a small amount of calculation, and can be executed on-site at the wind farm through the PLC of the wind turbine generator set.

[0057] Although some embodiments of the present disclosure have been shown and described, it will be appreciated by those skilled in the art that modifications may be made to the embodiments without departing from the principles and spirit of the present disclosure, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for controlling the limit load of a wind turbine generator set, It is characterized in that The limit load control method comprises: Based on the operating parameters of the wind turbine generator set, estimating the hub load value of the wind turbine generator set; In response to the estimated hub load value of the wind turbine generator set being greater than a preset protection threshold for a first predetermined time, a power limiting operation is performed on the wind turbine generator set to reduce the hub load value of the wind turbine generator set.

2. The load control method according to claim 1, It is characterized in that The load control method further includes: After the wind turbine generator set is subjected to power limiting operation, in response to the estimated hub load value of the wind turbine generator set being less than the preset protection threshold for a second predetermined time, the power limiting operation is stopped, thereby restoring the wind turbine generator set to a normal power generation state.

3. The load control method according to claim 1, It is characterized in that The step of estimating the hub load value of the wind turbine generator set comprises: The hub load value of the wind turbine generator set is estimated based on the overall inertia, gearbox transmission ratio and generator speed information of the wind turbine generator set.

4. The load control method according to claim 2, It is characterized in that The preset protection thresholds include protection thresholds under different modes of the wind turbine generator set. Wherein, in a specific mode of the wind turbine generator set, in response to the estimated hub load value of the wind turbine generator set being greater than a protection threshold value in the specific mode for a first predetermined time, a power limiting operation is performed on the wind turbine generator set; Wherein, in the specific mode of the wind turbine generator set, after the power limiting operation is performed on the wind turbine generator set, in response to the estimated hub load value of the wind turbine generator set being less than the protection threshold in the specific mode for a second predetermined time, the power limiting operation is stopped.

5. The load control method according to claim 4, It is characterized in that The specific mode includes a first mode and a second mode, wherein: A protection threshold value in the first mode is obtained based on a hub load design boundary value and a first preset coefficient of the wind turbine generator set, and a protection threshold value in the second mode is obtained based on the hub load design boundary value and a second preset coefficient, The first preset coefficient is smaller than the second preset coefficient, and the duration of the first preset time is smaller than the duration of the second preset time.

6. The load control method according to claim 5, It is characterized in that The first mode refers to a simulation mode during model design of the wind turbine generator set, and the second mode refers to a field mode during testing or operation of the wind turbine generator set.

7. The load control method according to claim 5, It is characterized in that The first predetermined time is less than 1 second, and the second predetermined time is greater than 100 seconds.

8. The load control method according to claim 1 or 2, It is characterized in that The step of performing power limiting operation on the wind turbine generator set includes: linearly reducing the set power of the wind turbine generator set to a power limit value, wherein the power limit value is determined based on a preset power limit coefficient and a rated power of the wind turbine generator set, and the preset power limit coefficient is less than 0.

95.

9. A computer-readable storage medium storing a computer program, It is characterized in that When the computer program is executed by a processor, the extreme load control method according to any one of claims 1 to 8 is implemented.

10. A limit load control device for a wind turbine generator set, It is characterized in that The limit load control device comprises: Processor; and A memory storing a computer program, which, when executed by a processor, implements the extreme load control method according to any one of claims 1 to 8.

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