Ultimate load control method and apparatus for wind turbine generator sets and computer-readable storage medium

Abstract

A method, apparatus, and computer-readable storage medium for controlling the ultimate load of a wind turbine generator set are disclosed. The ultimate load control method includes: estimating the hub load value of the wind turbine generator set based on its operating parameters; and, in response to the estimated hub load value exceeding 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. According to this disclosure, the ultimate protection function of the wind turbine generator set can be realized, thereby providing a reliable guarantee for the safe and efficient operation of wind farms.

Description

Technical Field

[0001] This disclosure generally relates to the field of wind power generation technology, and more specifically, to a method and apparatus for controlling the ultimate load of a wind turbine generator set and a computer-readable storage medium. Background Technology

[0002] With the development of wind power technology, wind power generation has entered an era of tall towers, long blades, and large capacity, with single-unit capacity of wind turbines trending towards 4MW and above. Simultaneously, early-operated wind turbines have entered a period of frequent failures, with some units even experiencing serious accidents, causing significant losses to power generation companies. Comprehensive analysis suggests that the inadequacy of online vibration monitoring methods used for early wind turbines is a crucial contributing factor. The gearbox is one of the most critical components of a wind turbine, operating in extremely harsh environments. The magnitude and direction of the loads it experiences during operation are difficult to predict, and the significant uncertainties of instantaneous loads and time-varying alternating loads make the gearbox highly susceptible to failure. Wind turbines are typically installed in remote areas such as deserts, offshore, and mountainous regions, while the gearbox is housed in a confined nacelle tens or even hundreds of meters above the ground. Due to limited nacelle space, harsh environments, and inconvenient transportation, gearbox repairs are extremely difficult once a failure occurs. Furthermore, if gearbox repairs cannot be performed on the tower and must be carried out at the base, repair costs are high, and the entire repair cycle is lengthy, severely impacting the economic benefits of the wind farm. Therefore, reducing the probability of gearbox failures in wind turbine generators and extending their service life has become a pressing issue.

[0003] Due to the existence of real wind conditions, wind turbine generators often operate under indefinite and alternating loads. Components such as gearboxes, main shafts, and bearings are frequently subjected to impact loads. Therefore, research on control strategies for the ultimate load (e.g., hub Mx load) of wind turbine generators is particularly important. Summary of the Invention

[0004] Therefore, embodiments of this disclosure provide a method and apparatus for controlling the ultimate load of a wind turbine generator set, as well as a computer-readable storage medium, which can realize the ultimate protection function of the wind turbine generator set, thereby providing a reliable guarantee for the safe and efficient operation of the wind farm.

[0005] In one general aspect, a method for controlling the ultimate load of a wind turbine generator set is provided, the ultimate load control method comprising: estimating a hub load value of the wind turbine generator set based on operating parameters of the wind turbine generator set; and, 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 the 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 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, gearbox transmission ratio, and generator speed information of the wind turbine generator set.

[0008] Optionally, the preset protection threshold includes protection thresholds for different modes of the wind turbine generator set. Specifically, in a particular 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 for the particular mode for a first predetermined time, a power limiting operation is performed on the wind turbine generator set. Furthermore, in the particular 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 for the particular 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: the protection threshold under the first mode is obtained based on the hub load design boundary value of the wind turbine generator set and a first preset coefficient, and the protection threshold under the second mode is obtained based on the hub load design boundary value and a second preset coefficient, wherein the first preset coefficient is less than the second preset coefficient, and the duration of the first predetermined time is less than the duration of the second predetermined time.

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

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

[0012] Optionally, the step of performing a 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 the 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 is provided that stores a computer program, which, when executed by a processor, implements the extreme load control method described above.

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

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

[0016] On the other hand, the ultimate load control method and apparatus for wind turbine generators, along with the computer-readable storage medium according to embodiments of this disclosure, achieve load reduction of the wind turbine generator from a control strategy perspective without modifying the hardware structure of the wind turbine generator. Compared to various currently popular neural network algorithms, the ultimate load control method has lower requirements for computing hardware, requires no additional hardware equipment during implementation, and is simple to implement, highly reliable, and computationally efficient. It can be executed on-site at the wind farm using the wind turbine generator's PLC. Attached Figure Description

[0017] The above and other objects and features of the embodiments of this disclosure will become clearer from the following description taken in conjunction with the accompanying drawings illustrating the embodiments, wherein:

[0018] Figure 1 This is a flowchart illustrating an ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure;

[0019] Figure 2 This is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in a simulation mode of the wind turbine generator set;

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

[0021] Figure 5A and Figure 5B This is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in field mode;

[0022] Figure 6A and Figure 6BThis is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in field mode;

[0023] Figure 7 This is a block diagram illustrating an ultimate load control device for a wind turbine generator set according to an embodiment of the present disclosure. Detailed Implementation

[0024] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be changed as will become clear upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and conciseness, descriptions of features known in the art may be omitted.

[0025] Currently, extreme load protection schemes for gearboxes are mainly limited to two aspects: rational design of the gearbox mechanism and monitoring and fault diagnosis of operational status. Regarding gearbox mechanism design, research primarily focuses on the mechanical structure, with very little attention paid to control strategies. As for gearbox operational status monitoring and fault diagnosis, these involve fault detection and diagnosis technologies, typically requiring the installation of additional sensors and measuring equipment, thus increasing unit costs. Furthermore, the algorithms for fault detection and diagnosis are highly complex and computationally intensive, placing an excessive burden on PLCs used in the field, making them unsuitable for large-scale implementation in wind farms. For example, neural network algorithms, a hot research topic, are complex and computationally intensive; real-time calculations cannot be performed by on-site PLCs, and adding servers would further increase wind farm costs. Additionally, existing neural network algorithms lack practical data support, making it impossible to verify their feasibility in actual wind farms.

[0026] Therefore, according to the embodiments of this disclosure, a method and apparatus for controlling the ultimate load of a wind turbine generator set and a computer-readable storage medium are provided. On the one hand, it can effectively reduce the ultimate load of the hub, realize the protection of the wind turbine generator set (especially the gearbox), and extend the service life of the wind turbine generator set (especially the gearbox). On the other hand, it is simple, reliable and has low computational load, and can be executed on-site in the wind farm by the PLC of the wind turbine generator set.

[0027] The following reference Figures 1 to 7 This disclosure provides a detailed description of the ultimate load control method and apparatus for wind turbine generator sets, as well as a computer-readable storage medium, according to embodiments of the present disclosure.

[0028] Figure 1This is a flowchart illustrating an ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure.

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

[0030] Specifically, in step S101, the hub load value (e.g., Mx load value) of the wind turbine generator set can 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 can include at least the hub inertia, generator inertia, gearbox inertia, and coupling inertia of the wind turbine generator set.

[0031] On the other hand, the low-speed shaft aerodynamic 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 or increased hardware costs, thus providing basic data and reference for gearbox ultimate load protection.

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

[0033]

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

[0035] Next, in step S102, in response to the estimated hub load value of the wind turbine being greater than a preset protection threshold for a first predetermined time (e.g., T1), a power limiting operation is performed on the wind turbine to reduce the hub load value. Specifically, during the power limiting operation, the set power of the wind turbine 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, and the preset power limiting coefficient is less than 0.95. Here, to prevent excessive power limiting from causing insufficient power generation while achieving gearbox protection, the preset power limiting coefficient is generally taken between 0.8 and 0.95. However, this disclosure is not limited to this; the preset power limiting coefficient can also be greater than 0.95 or less than 0.8.

[0036] According to embodiments of this disclosure, the control strategy of a wind turbine generator directly affects its power generation efficiency and stability. However, traditional control strategies are often too simplistic and crude. By analyzing historical and real-time data from wind farms, a comprehensive database can be established using artificial intelligence algorithms. Thus, in the ultimate load control method for wind turbine generators, based on big data and artificial intelligence algorithms, the optimal power limiting coefficient and power change slope can be learned and trained through the analysis and mining of historical wind farm data. This balances the power generation and stability of the wind turbine generator, optimizing the ultimate load control method. Furthermore, by using data-driven and big data analysis training to obtain optimal load reduction parameters, various possible faults during the power reduction process can be quickly identified and predicted, and the optimal control parameters for the wind turbine generator can be trained. Compared to traditional ultimate load protection methods, artificial intelligence algorithms can provide more accurate and efficient protection and control capabilities, significantly improving the reliability and safety of wind turbine generators.

[0037] Alternatively, after performing a power limiting operation 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 a 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 normal power generation. This achieves a balance between the safety of the wind turbine generator set and its power generation, thus avoiding excessive power generation loss.

[0038] According to embodiments of this disclosure, the ultimate load control method can be executed in different modes of the wind turbine generator set. Therefore, the preset protection threshold can include protection thresholds for different modes of the wind turbine generator set. Thus, in a specific mode of the wind turbine generator set, a power limiting operation can be performed on the wind turbine generator set in response to an estimated hub load value exceeding the protection threshold for that specific mode for a first predetermined time. Furthermore, in that specific mode of the wind turbine generator set, after performing the power limiting operation, the power limiting operation can be stopped in response to an estimated hub load value falling below the protection threshold for that specific mode for a second predetermined time. The protection thresholds for different modes can be different from each other.

[0039] According to embodiments of this disclosure, a specific mode of the wind turbine generator set may include a first mode and a second mode. Here, the first mode may refer to the simulation mode during the design phase of the wind turbine generator set, and the second mode may refer to the field mode during the testing or operation phase of the wind turbine generator set. In other words, the load control method can be implemented in both the actual and testing / operation phases of the wind turbine generator set. On the one hand, the performance of the load control method can be verified during the design phase, and on the other hand, the proven and effective load control method can be applied during the testing / operation phase. 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 a first preset coefficient, and the protection threshold in the second mode can be obtained based on the hub load design boundary value and a 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 can be between 0.8 and 0.95, and the second preset coefficient can be greater than or equal to 1.2. However, this disclosure is not limited to this; the values ​​of the first and second preset coefficients can differ from the above example, 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 ultimate load control is effective. In the second mode, the protection threshold is relatively larger, thereby ensuring that the power limiting operation is not triggered frequently and that the power generation demand is met as much as possible.

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

[0042] The ultimate load control method for wind turbine generators according to embodiments of this disclosure estimates the hub load value of the wind turbine generator in real time and performs power limiting operations on the wind turbine generator based on the estimated hub load value and a preset protection threshold. This effectively reduces the hub ultimate load, protects the wind turbine generator gearbox, and extends the gearbox's lifespan. Furthermore, the ultimate load control method does not require modification of the wind turbine generator's hardware structure. Compared to currently popular neural network algorithms, it has lower computational hardware requirements, is simple to implement, highly reliable, and computationally efficient. It can be executed on-site at the wind farm using the wind turbine generator's PLC.

[0043] Figures 2 to 6BThis is a diagram illustrating an application example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure.

[0044] Figure 2 This is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in a simulation mode of the wind turbine generator set. Figure 2 Figure 2 shows the curves of the hub load values ​​estimated by the ultimate load control method and the simulated hub load values ​​output by the Bladed simulation software under different wind speeds. The horizontal axis represents time in milliseconds (ms), and the vertical axis represents the 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 Figure 2, under different wind speeds (e.g., but not limited to 5 m / s, 7 m / s, 9 m / s, 11 m / s, 13 m / s, 15 m / s, 17 m / s, 19 m / s, 21 m / s, 23 m / s), the estimated hub load value shown by curve 201 and the simulated hub load value shown by curve 202 show the same trend, and curve 201 can enclose curve 202, that is, the estimated hub load value can cover the simulated hub load value. Therefore, in simulation mode, the ultimate load control method of wind turbine generator set according to the embodiments of this disclosure can accurately estimate the hub load value, thereby ensuring stable and reliable execution of power-limiting operation and providing a basis for turbine design.

[0045] Figure 3 and Figure 4 This is a diagram illustrating an example of whether the ultimate load control method for a wind turbine generator according to an embodiment of the present disclosure is executed in simulation mode. Figure 3 The graph shows a comparison of the maximum value of the hub Mx load before and after the implementation of the ultimate load control method. The horizontal axis represents various loads, and the vertical axis represents the contrast (%). Bar chart 301 shows the maximum value of the hub Mx load when the ultimate load control method is not implemented, and bar chart 302 shows the maximum value of the hub Mx load when the ultimate load control method is implemented. Figure 4 The graph shows the variation of the hub Mx load under different wind speeds. The horizontal axis represents wind speed in meters per second (m / s), and the vertical axis represents the load value in kilonewton-meters (kNm). Curve 401 shows the variation of the hub Mx load without the ultimate load control method, and curve 402 shows the variation of the hub Mx load with the ultimate load control method. Figure 3 and Figure 4 As shown, when the ultimate load control method is implemented, by performing a power limiting operation when the hub Mx load exceeds the 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 This is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in field mode. Figure 5A and Figure 5B The diagram shows the variation of the hub load Mx under different wind speeds. The horizontal axis represents time in milliseconds (ms), and the vertical axis represents the load value in Newton-meters (Nm). Curve 501 shows the hub load value estimated by the ultimate load control method, and curve 502 shows the measured hub load value. According to embodiments of this disclosure, the measured hub load value can be synthesized by collecting the blade root flapping direction bending moment and the blade root flaring direction bending moment using a blade root load sensor (e.g., but not limited to, the Fos4x fiber optic blade root load sensor). Specifically, the measured hub load value can be obtained by collecting the blade root flapping direction bending moment Mx of a single blade. be Bending moment M in the direction of leaf root waving bf The measured hub load value M is obtained by combining the propeller pitch angle θ with the load angle θ and then summing the results. hubx ,Right now, in, i represents the blade number, with values ​​of 1, 2, and 3.

[0047] According to embodiments of this disclosure, Table 1 below shows examples of comparisons 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, under typical wind speeds (including but not limited to 4 m / s, 6 m / s, 8 m / s, 10 m / s, 12 m / s, 14 m / s, and 16 m / s), the estimated hub load value shown by curve 501 and the measured hub load value shown by curve 502 show the same trend with small deviations. For example, at a wind speed of 10 m / s, the waveforms of curves 501 and 502 are basically the same. The ratio of the maximum value of the estimated hub load to the maximum value of the measured hub load is 1.0083, the ratio of the minimum value of the estimated hub load to the minimum value of the measured hub load is 1.0852, and the ratio of the average value of the estimated hub load to the average value of the measured hub load is 1.0417, with a maximum deviation of only about 8.5%. Therefore, in field mode, the ultimate load control method for wind turbine generators according to the embodiments of this disclosure can accurately estimate the hub load value, thereby ensuring stable and reliable execution of power limiting operation and providing a guarantee for the safe operation of wind turbine generators.

[0051] Figure 6A and Figure 6BThis is a diagram illustrating an example of the ultimate load control method for a wind turbine generator set according to an embodiment of the present disclosure being executed in field mode. Figure 6A and Figure 6B The diagram shows the measured hub load value 601, preset protection threshold 602, measured power 603 and set power 604 of the wind turbine generator set during different time periods when the ultimate load control method of the wind turbine generator set according to embodiments of this disclosure is executed. The grid connection indicator 605 indicates that the wind turbine generator set is operating in grid-connected mode. 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 bending moment in the blade root flaring direction and the bending moment in the blade root flapping direction using a blade root load sensor (e.g., but not limited to a strain gauge blade root load sensor). Figure 6A As shown, at time 19070ms, the measured hub load value reaches the preset protection threshold of 6171000Nm, triggering a power limiting operation (here, as a non-limiting example, the duration of the first predetermined time T1 can be considered as small as possible). The set power of the wind turbine is reduced from 5000kW to 4500kW (i.e., the power limiting value), and correspondingly, the measured power of the wind turbine is reduced. Subsequently, after the measured hub load value is less than the preset protection threshold for a period of time (i.e., the second predetermined time T2), for example, at time 22260ms, the power limiting operation stops, and the set power of the wind turbine recovers from 4500kW to 5000kW, so that the wind turbine can generate electricity normally. On the other hand, as Figure 6B As shown, at time 11610ms, the measured hub load value reaches the preset protection threshold of 6188000 Nm and remains there for a first predetermined time (e.g., 10ms), thus triggering a power limiting operation. At time 11620ms, the set power of the wind turbine generator is reduced from 5000kW to 4500kW (i.e., the power limiting value), and correspondingly, the measured power of the wind turbine generator decreases accordingly. Subsequently, after the measured hub load value is less than the preset protection threshold for a period of time (i.e., the second predetermined time T2), for example, at time 22280ms, the power limiting operation stops, and the set power of the wind turbine generator recovers from 4500kW to 5000kW, thus allowing the wind turbine generator to generate electricity normally. Therefore, the ultimate load control method for wind turbine generator sets according to the embodiments of this disclosure can perform power limiting operation when the hub load value exceeds a preset protection threshold during the on-site operation of the wind turbine generator set, thereby reducing the hub load value. Furthermore, the power limiting operation can be stopped after the hub load value continues to decrease, thereby effectively reducing the hub ultimate load and providing a guarantee for the safe operation of the wind turbine generator set.

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

[0053] Reference Figure 7 The ultimate load control device 700 includes a processor 710 and a memory 720. The processor 710 may include (but is 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 can acquire operating data of the wind turbine generator set. The memory 720 can store computer programs to be executed by the processor 710. The memory 720 may include high-speed random access memory and / or non-volatile computer-readable storage media. When the processor 710 executes the computer program stored in the memory 720, the ultimate load control method for the wind turbine generator set as described above can be implemented.

[0054] The ultimate load control method for a wind turbine generator set according to embodiments of this disclosure can be programmed into a computer program and stored on a storage medium. When the computer program is executed by a processor, the ultimate load control method described above can 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, non-volatile 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 disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to 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 across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

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

[0056] On the other hand, the ultimate load control method and apparatus for wind turbine generators, along with the computer-readable storage medium according to embodiments of this disclosure, achieve load reduction of the wind turbine generator from a control strategy perspective without modifying the hardware structure of the wind turbine generator. Compared to various currently popular neural network algorithms, the ultimate load control method has lower requirements for computing hardware, requires no additional hardware equipment during implementation, and is simple to implement, highly reliable, and computationally efficient. It can be executed on-site at the wind farm using the wind turbine generator's PLC.

[0057] While some embodiments of this disclosure have been shown and described, those skilled in the art will understand that modifications may be made to these embodiments without departing from the principles and spirit of this disclosure, which are defined by the claims and their equivalents.

Claims

1. A method for controlling the ultimate load of a wind turbine generator set, characterized in that, The ultimate load control method includes: Based on the operating parameters of the wind turbine generator set, estimate the hub load value of the wind turbine generator set; 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 of the specific mode 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. The specific mode includes a first mode and a second mode. The first mode refers to the simulation mode during the model design of the wind turbine generator set, and the second mode refers to the field mode during the testing or operation of the wind turbine generator set. The protection threshold in the first mode is less than the protection threshold in the second mode.

2. The ultimate load control method as described in claim 1, characterized in that, The steps for estimating the hub load value of the wind turbine generator set include: Based on the overall inertia, gearbox transmission ratio, and generator speed information of the wind turbine generator set, the hub load value of the wind turbine generator set is estimated.

3. The ultimate load control method as described in claim 1, characterized in that, The ultimate load control method further includes: In a specific mode of the wind turbine generator set, after a power limiting operation is performed on the wind turbine generator set, the power limiting operation is stopped in response to the estimated hub load value of the wind turbine generator set being less than the protection threshold of the specific mode for a second predetermined time.

4. The ultimate load control method as described in claim 3, characterized in that, The protection threshold under the first mode is obtained based on the hub load design boundary value of the wind turbine generator set and a first preset coefficient, and the protection threshold under the second mode is obtained based on the hub load design boundary value and a second preset coefficient. Wherein, the first preset coefficient is less than the second preset coefficient, and the duration of the first predetermined time is less than the duration of the second predetermined time.

5. The ultimate load control method as described in claim 4, characterized in that, The duration of the first predetermined time is less than 1 second, and the duration of the second predetermined time is greater than 100 seconds.

6. The ultimate load control method as described in claim 1, characterized in that, The steps of performing power limiting operation on the wind turbine generator set include: 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 the rated power of the wind turbine generator set, and the preset power limiting coefficient is less than 0.

95.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the ultimate load control method as described in any one of claims 1 to 6.

8. A limit load control device for a wind turbine generator set, characterized in that, The ultimate load control device includes: processor; and A memory storing a computer program that, when executed by a processor, implements the ultimate load control method as described in any one of claims 1 to 6.

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