Method and apparatus for determining number of pitch devices and wind turbine

Abstract

The present disclosure provides a method and device for determining the number of installed feathering devices of a wind turbine and a wind turbine. The method comprises: simulating the working condition of the wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined feathering position, to obtain dynamic performance data of the wind turbine when the at least one blade is in the predetermined feathering position; predicting whether there is a risk of blade overspeed when the at least one blade is in the predetermined feathering position according to the dynamic performance data; and determining the number of installed feathering devices for the wind turbine according to the prediction result. The safety and reliability of the wind turbine can be improved at a lower cost.

Description

Technical Field

[0001] This disclosure relates to the field of wind power generation, specifically to a method and apparatus for determining the number of paddle recovery devices to be installed, and a wind turbine generator set. Background Technology

[0002] Currently, safety accidents involving wind turbine generators (i.e., wind power rigs) are frequent, many of which involve blades failing to retract safely, leading to rotor overspeed or runaway and ultimately turbine collapse. As the number of wind turbine units installed gradually increases, the incidence of runaway and tower collapse accidents is also rising. Therefore, blade retraction is crucial for the safe operation of wind turbine generators, and effective measures are needed to improve the blade retraction capability of different wind turbine models. Summary of the Invention

[0003] The purpose of this disclosure is to provide a method and apparatus for determining the number of propeller recovery devices to be installed, as well as a wind turbine, which at least partially solves the problems in the prior art.

[0004] According to embodiments of this disclosure, a method for determining the number of blade catchment devices to be installed is provided. The method includes: simulating the operating conditions of a wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined blade catchment position, to obtain dynamic performance data of the wind turbine when at least one blade is in the predetermined blade catchment position; predicting, based on the dynamic performance data, whether there is a risk of blade overspeed when at least one blade is in the predetermined blade catchment position; and determining, based on the prediction results, the number of blade catchment devices to be installed for the wind turbine.

[0005] According to embodiments of this disclosure, an apparatus for determining the number of blade catch-up devices is provided. The apparatus includes: a data acquisition unit configured to simulate the operating conditions of a wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined blade catch position, in order to obtain dynamic performance data of the wind turbine when at least one blade is in the predetermined blade catch position; and a quantity determination unit configured to predict, based on the dynamic performance data, whether there is a risk of blade overspeed when at least one blade is in the predetermined blade catch position, and to determine the number of blade catch-up devices to be installed for the wind turbine based on the prediction result.

[0006] According to an embodiment of this disclosure, a wind turbine generator is provided, the wind turbine generator comprising: a blade drive device configured to drive the blades to perform pitch control; and a redundant drive pitch recovery device including a redundant drive wheel, the redundant drive wheel being installed in a predetermined number of spare drive wheel positions on the blades, wherein the predetermined number is equal to the number of redundant drive pitch recovery devices installed, the spare drive wheel positions being spare installation positions of the main drive wheel of the blades, wherein the number of installations is determined according to the method described above.

[0007] According to embodiments of the present disclosure, a computer-readable storage medium storing a computer program is provided, which implements the method described above when executed by a processor.

[0008] According to embodiments of the present disclosure, a computing device is provided, the computing device comprising: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is implemented.

[0009] The method and apparatus for determining the number of blade recovery devices according to embodiments of this disclosure, along with a wind turbine, a computer-readable storage medium, and a computing device, can achieve at least one of the following technical effects: By simulating the operating conditions of wind turbines of different models, the number of blade recovery devices can be determined for different configurations and load conditions, allowing for the installation of blade recovery devices in a corresponding number of blades at a relatively low cost, thereby improving the safe blade recovery capability of the wind turbine, effectively reducing the risk of overspeed or runaway of the wind turbine, avoiding tower collapse accidents, and effectively improving the safety and reliability of the wind turbine; the installation of blade recovery devices can be achieved without modifying the blade structure, reducing modification costs and labor costs, which is beneficial to improving the safety and reliability of older models. For new models, common platform and common module development can also be carried out, improving the safety and reliability of the wind turbine while reducing costs and achieving safety redundancy. Attached Figure Description

[0010] The above and other objects and features of this disclosure will become clearer from the following description taken in conjunction with the accompanying drawings.

[0011] Figure 1 This is a flowchart of a method for determining the number of paddle-collecting devices to be installed according to embodiments of the present disclosure.

[0012] Figure 2 This is another flowchart of a method for determining the number of paddle-collecting devices to be installed according to embodiments of the present disclosure.

[0013] Figure 3 This is another flowchart of a method for determining the number of paddle-collecting devices to be installed according to embodiments of the present disclosure.

[0014] Figure 4 This is a graph of dynamic performance data according to embodiments of the present disclosure.

[0015] Figure 5 This is another graph of dynamic performance data according to embodiments of the present disclosure.

[0016] Figure 6 This is a schematic diagram of the installation method of the paddle take-up device according to an embodiment of the present disclosure.

[0017] Figure 7 This is a block diagram of an apparatus for determining the number of paddle recovery devices installed according to embodiments of the present disclosure.

[0018] Figure 8 This is a schematic diagram of a computing device according to an embodiment of the present disclosure. Detailed Implementation

[0019] For safety control of wind turbines under extreme wind conditions, blade retraction devices can be used to retract the blades, improving their retraction capability. Alternatively, crosswind yaw control can be used to reduce rotor speed when it exceeds the limit. Different turbine types require different safety control schemes. For example, for offshore wind turbines, even with crosswind yaw, the risk of rotor overspeed may not be completely avoided during typhoons or hurricanes. Therefore, blade retraction devices are needed to control the blades.

[0020] With the gradual rise of offshore wind turbines, large-blade / megawatt turbines will become the mainstream. Currently, the power of these turbines has reached 8MW, 10MW, 15MW, 20MW and above, and the rotor diameter has exceeded 200m, 250m, 300m, or even larger. Large blades will result in a significant reduction in blade retraction speed, requiring a longer time to complete the retraction action. At the same time, large-blade turbines will also have a greater moment of inertia, greatly reducing the ability to reduce rotor speed through yaw crosswinds. Therefore, safe blade retraction will assume the primary function of reducing rotor speed (i.e., braking) for wind turbines.

[0021] Typically, a propeller retrieval device is installed on each blade of a wind turbine to achieve effective and safe propeller retrieval. Traditional propeller retrieval devices require significant modifications to the internal structure of each blade to accommodate the device, resulting in additional modification costs. Furthermore, they are difficult to adapt to older wind turbine models, failing to upgrade or retrofit them for safe propeller retrieval functionality. Moreover, these complex propeller retrieval devices may have a higher failure rate, leading to additional maintenance costs.

[0022] In addition, traditional propeller recovery devices may occupy a large space inside the impeller. As the cost pressure of wind turbines increases, the entire impeller design tends to gradually eliminate the impeller guide shroud in order to reduce costs. The complex drive and transmission structure of traditional propeller recovery devices may occupy a lot of internal space of the impeller, and they are not good at making reasonable use of the limited impeller space.

[0023] This disclosure proposes a method and equipment for determining the number of blade recovery devices to be installed, as well as a wind turbine unit. It can determine the appropriate number of blade recovery devices to be installed for different types of wind turbine units without having to install blade recovery devices on all blades. It can also install blade recovery devices without modifying the internal structure of the wind turbine unit, reducing the overall cost and effectively improving the safety and reliability of the wind turbine unit.

[0024] The following description, in conjunction with the accompanying drawings, provides specific embodiments to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, upon understanding this disclosure, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be altered 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] The features described herein may be implemented in different forms and should not be construed as limited to the examples described herein. Rather, the examples described herein are provided only to illustrate some of the many feasible ways of implementing the methods, apparatus, and / or systems described herein, which will become clear upon understanding the disclosure of this application.

[0026] As used herein, the term “and / or” includes any one of the associated listed items and any combination of any two or more.

[0027] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, assemblies, regions, layers, or parts, these components, assemblies, regions, layers, or parts should not be limited by these terms. Rather, these terms are used only to distinguish one component, assembly, region, layer, or part from another. Thus, without departing from the teaching of the examples described herein, the first component, first assembly, first region, first layer, or first part referred to as the first component, first assembly, first region, first layer, or first part may also be referred to as the second component, second assembly, second region, second layer, or second part.

[0028] The terminology used herein is for the purpose of describing various examples only and is not intended to limit disclosure. Unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. The terms “comprising,” “including,” and “having” indicate the presence of the features, quantities, operations, components, elements, and / or combinations thereof described, but do not preclude the presence or addition of one or more other features, quantities, operations, components, elements, and / or combinations thereof.

[0029] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains upon understanding this disclosure. Unless expressly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having a meaning consistent with their meaning in the context of the relevant field and in this disclosure, and shall not be interpreted in an idealized or overly formalistic manner.

[0030] Furthermore, in the description of the examples, detailed descriptions of well-known related structures or functions will be omitted when it is believed that such detailed descriptions would lead to a vague interpretation of this disclosure.

[0031] Figure 1 This is a flowchart of a method for determining the number of paddle-collecting devices to be installed according to embodiments of the present disclosure.

[0032] In operation S11, the working condition of the wind turbine under extreme wind conditions can be simulated based on the fact that at least one blade of the wind turbine is in a predetermined jamming position.

[0033] In the embodiments of this disclosure, simulation model operating parameters and extreme wind condition parameters can be set for different types of wind turbines (e.g., 2.5MW wind turbines). Any one or more blades of the wind turbine can be set to a predetermined blade jamming position to simulate the operating conditions of the wind turbine under extreme wind conditions. The predetermined blade jamming position may include multiple predetermined blade jamming positions; for example, the blade angle may be fixed at 0°, 5°, 10°, 15°, 20°, etc.

[0034] In operation S12, dynamic performance data of the wind turbine can be acquired when at least one blade is in a predetermined jammed position. In embodiments of this disclosure, the dynamic performance data may include at least one of the following: rotor speed data, turbine load data, generator speed data, and nacelle acceleration data.

[0035] According to embodiments of this disclosure, a single blade can be configured to be in a predetermined jammed position. With the single blade in the predetermined jammed position, the operating condition of the wind turbine under extreme wind conditions is simulated to obtain dynamic performance data of the wind turbine when the single blade is in the predetermined jammed position. For example, the operating condition of the wind turbine under extreme wind conditions can be simulated with any single blade in multiple predetermined jammed positions to obtain rotor speed data at multiple predetermined jammed positions.

[0036] According to embodiments of this disclosure, fewer than all blades (e.g., two blades) can also be positioned in predetermined jamming positions. With these multiple blades in predetermined jamming positions, the wind turbine's operation under extreme wind conditions can be simulated to obtain dynamic performance data of the wind turbine under extreme wind conditions when the multiple blades are in the predetermined jamming positions. For example, the wind turbine's operation under extreme wind conditions can be simulated with any two blades in multiple predetermined jamming positions to obtain rotor speed data at multiple predetermined jamming positions.

[0037] exist Figure 4 In the example shown, the two blades are set to be in multiple predetermined blade jamming positions P1=0°, P2=5°, P3=10°, P4=15°, and P5=20°. The working condition of the wind turbine under extreme wind conditions is simulated by having the two blades in multiple predetermined blade jamming positions, and the rotor speed data under multiple predetermined blade jamming positions is obtained. Figure 4 The graph shows the rotor speed data over time under extreme wind conditions when the two blades are in different predetermined jamming positions.

[0038] According to embodiments of this disclosure, all blades (e.g., three blades) can also be configured to be in a predetermined jammed position. With all blades in the predetermined jammed position, the operating conditions of the wind turbine under extreme wind conditions can be simulated to obtain dynamic performance data of the wind turbine under extreme wind conditions when all blades are in the predetermined jammed position. For example, the operating conditions of the wind turbine under extreme wind conditions can be simulated by having three blades in multiple predetermined jammed positions to obtain rotor speed data at multiple predetermined jammed positions.

[0039] exist Figure 5 In the example shown, the three blades are set to multiple predetermined blade jamming positions L1=0°, L2=5°, L3=10°, L4=15°, L5=20°, and L6=23°. The working condition of the wind turbine under extreme wind conditions is simulated by having the three blades in multiple predetermined blade jamming positions, and the rotor speed data under multiple predetermined blade jamming positions are obtained. Figure 5 The graph shows the rotor speed data over time under extreme wind conditions when the three blades are in different predetermined jamming positions.

[0040] Refer again Figure 1 In operation S13, based on dynamic performance data, it can be predicted whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position. The dynamic performance data can be compared with the corresponding dynamic performance threshold, or the trend of dynamic performance data over time can be analyzed to predict whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position.

[0041] According to embodiments of this disclosure, in response to dynamic performance data being greater than a corresponding dynamic performance threshold and / or dynamic performance data diverging over time, it can be predicted that there is a risk of blade overspeed when at least one blade is in a predetermined jamming position; in response to dynamic performance data being less than or equal to a corresponding dynamic performance threshold and / or dynamic performance data converging over time, it can be predicted that there is no risk of blade overspeed when at least one blade is in a predetermined jamming position.

[0042] exist Figure 2 In the embodiment shown, by comparing dynamic performance data with the corresponding dynamic performance threshold and analyzing the trend of dynamic performance data over time, it is possible to predict whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position.

[0043] In operation S21, it can be determined whether the dynamic performance data is greater than the corresponding dynamic performance threshold. For example, it can be determined whether the impeller speed data is greater than the impeller speed threshold. In response to the judgment result of operation S21 being "yes", operation S22 can be executed; otherwise, operation S21 continues to be executed.

[0044] In operation S22, it can be determined whether the dynamic performance data diverges over time. For example, it can be determined whether the impeller speed data diverges over time. If the judgment result of operation S22 is "yes", operation S23 can be executed; otherwise, operation S24 continues.

[0045] In operation S23, it is predicted that there is a risk of blade overspeed when at least one blade is in a predetermined jamming position. In operation S24, it is predicted that there is no risk of blade overspeed when at least one blade is in a predetermined jamming position.

[0046] According to embodiments of this disclosure, for any single blade in multiple predetermined jamming positions, in response to dynamic performance data (e.g., impeller speed data) being less than or equal to a corresponding dynamic performance threshold (e.g., impeller speed threshold) and / or the dynamic performance data converging over time, it can be predicted that there is no blade overspeed risk when a single blade is in a predetermined jamming position. Furthermore, for the case where two or more blades are in multiple predetermined jamming positions, dynamic performance data can be analyzed to predict the presence of blade overspeed risk when two or more blades are in predetermined jamming positions.

[0047] For example, in Figure 4 and Figure 5 In the embodiment shown, the rotor speed threshold of the wind turbine generator is 24 rpm. Figure 4As shown, when two blades are in multiple predetermined jamming positions, the impeller speed data does not exceed the impeller speed threshold of 24 rpm, and the impeller speed data converges over time. Therefore, it can be predicted that there is no risk of blade overspeed when both blades are in the predetermined jamming positions. Figure 5 As shown, when the three blades are in multiple predetermined jamming positions, the impeller speed data at L1=0°, L2=5°, and L3=10° exceed the impeller speed threshold of 24 rpm. Furthermore, the impeller speed data at L1=0° and L2=5° diverge over time. Therefore, it can be predicted that there is a risk of blade overspeed when the three blades are in the predetermined jamming positions.

[0048] In this way, simulations under extreme wind conditions can be performed for different numbers of blades in multiple predetermined blade jamming positions, thereby predicting whether there is a risk of blade overspeed under different conditions, so as to further determine the number of jammed blades when there is a risk of blade overspeed and the number of blade recovery devices to be installed for wind turbines.

[0049] Refer again Figure 1 In operation S14, the number of blade catchers to be installed for the wind turbine can be determined based on the prediction results. For example, assuming the wind turbine has M blades, in response to the prediction that there is no blade overspeed risk when N blades are in the predetermined blade jamming position and there is blade overspeed risk when N+1 blades are in the predetermined blade jamming position, it can be determined that blade catchers will be installed for MN blades, where 1≤N<M.

[0050] like Figure 3 As shown, in operation S31, it is predicted that there is no risk of blade overspeed when N blades are in the predetermined jamming position and there is a risk of blade overspeed when N+1 blades are in the predetermined jamming position.

[0051] For example, in Figure 4 and Figure 5 In the illustrated embodiment, the wind turbine has three blades, i.e., M=3. As described above, it is predicted that there is no risk of blade overspeed when two (i.e., N=2) blades are in the predetermined jamming position, and there is a risk of blade overspeed when all three blades are in the predetermined jamming position.

[0052] exist Figure 4 In the illustrated embodiment, a propeller jamming fault triggers an emergency stop of the converter in the wind turbine's safety chain. Simultaneously, the converter stops modulating its output torque to zero, causing a brief increase in rotor speed at the moment of the emergency stop. Approximately 10 seconds later, the rotor speed begins to decrease, thus preventing a turbine overspeed accident. This is because when two blades are jammed, the remaining blade feathers, disrupting the rotor's dynamic balance and causing the rotor speed to gradually decrease.

[0053] Reference Figure 4It is evident that when the intended jamming position of the two blades is below 20 degrees, the impeller speed increases briefly and then begins to decrease, thus preventing impeller overspeed. (Refer to...) Figure 5 When the predetermined blade jamming position of all three blades is above 20 degrees, the rotor speed converges over time, thus preventing rotor overspeed or runaway risks. This further illustrates that even if the predetermined blade jamming position of two blades is above 20 degrees, rotor overspeed or runaway risks will not occur. Therefore, installing a blade catcher on only one blade (i.e., one blade catcher) is sufficient to ensure the safety and reliability of the wind turbine, eliminating the need to install catchers on all blades, thereby reducing costs while maintaining safety and reliability.

[0054] In another embodiment, it is predicted that there is no risk of blade overspeed when one (i.e., N=1) blade is in a predetermined jamming position, and there is a risk of blade overspeed when two blades are in predetermined jamming positions.

[0055] By operating S32, it can be determined that the propeller recovery device will be installed for MN blades. Figure 4 and Figure 5 In the illustrated embodiment, it can be determined that a propeller recovery device is installed for one blade.

[0056] In another embodiment, in response to a prediction that there is no risk of blade overspeed when one (i.e., N=1) blade is in a predetermined jamming position, but there is a risk of blade overspeed when both blades are in predetermined jamming positions, it is determined that a blade recovery device should be installed for both blades. In some large-rotor or high-megawatt wind turbines, jamming of two blades can cause partial overload of the turbine, thus requiring the installation of two blade recovery devices.

[0057] As mentioned above, the number of blade recovery devices can be determined based on the load simulation results of wind turbines of different models and configurations under extreme wind conditions, thereby reducing costs and minimizing overload caused by blade jamming.

[0058] According to embodiments of this disclosure, the blade recovery device may include a redundant drive blade recovery device or a one-way brake blade recovery device. For example, when the main blade recovery device (e.g., the blade drive system) fails, the redundant drive blade recovery device in the blade can be used to complete the safe blade recovery action. Alternatively, when the drive function of the blade drive system fails completely, a one-way brake blade recovery device (e.g., a one-way brake structure of the drive motor) can be used to return the wind turbine to the shutdown position by the weight of the blade or by wind power. The one-way brake blade recovery device can ensure that the brake is opened in the recovery direction and engaged in the reverse direction, thereby achieving physical blade recovery without the need for the blade drive system to operate.

[0059] A one-way brake propeller retraction device helps prevent the blades from rotating towards zero degrees. Compared to a one-way brake propeller retraction device, a redundant drive propeller retraction device is better at handling situations such as brake relay contact sticking and motor brake valve seizing, and helps reduce brake disc wear and avoid brake system failure.

[0060] According to embodiments of this disclosure, a wind turbine may include: a blade drive device configured to drive the blades to perform pitch control; and a redundant drive pitch recovery device, including a redundant drive wheel, the redundant drive wheel being installed in a predetermined number of spare drive wheel positions on the blades, wherein the predetermined number is equal to the number of redundant drive pitch recovery devices installed, and the spare drive wheel positions are spare installation positions of the main drive wheels of the blades, wherein the number of redundant drive pitch recovery devices installed can be determined by a method for determining the number of pitch recovery devices installed according to embodiments of this disclosure.

[0061] In embodiments of this disclosure, the redundant drive wheel of the redundant drive propeller take-up device can be installed in the spare drive wheel positions of a predetermined number of blades, wherein the predetermined number is equal to the number of installations, and the spare drive wheel positions are the spare installation positions of the main drive wheels of the blades.

[0062] Figure 6 This is a schematic diagram of the installation method of the paddle take-up device according to an embodiment of the present disclosure.

[0063] The structure of the blade drive device may include a gear drive structure, a toothed belt drive structure, or a hydraulic drive structure. In the embodiments of this disclosure, a blade drive device with a gear drive structure and a redundant drive device are described as examples, but the invention is not limited thereto.

[0064] like Figure 6As shown, the drive wheel (which may be referred to as the main drive wheel) 61 of the blade drive device is installed in the main drive position (e.g., the main drive wheel bore), and can be controlled by the pitch controller (e.g., the pitch control cabinet) 64 to drive the pitch bearing 63. The redundant drive wheel 62 of the redundant drive pitch recovery device can be set in the spare drive wheel position (e.g., the spare drive wheel bore) and can be controlled by the pitch controller 64. The spare drive wheel position is usually used as a spare installation position for the drive wheel 61. For example, when the tooth surface of the pitch bearing 63 in contact with the drive wheel 61 is damaged, the drive wheel 61 can be replaced to the spare drive wheel position to continue using the drive wheel 61. In practical applications, the probability of using the spare drive wheel position for the drive wheel 61 may be low, so the utilization rate of the spare drive wheel position is low. In the embodiments of this disclosure, the spare drive wheel position can be fully utilized as the installation position for the redundant drive wheel 62 of the redundant drive pitch recovery device. Moreover, for older wind turbine models, the existing drive wheel backup installation position can be used directly, and the control function of the pitch controller can be upgraded without secondary modification of its structure. This makes it highly operable, and in the event of blade drive failure or damage, the pitch recovery device can be driven by the drive redundancy to achieve safe pitch recovery, thereby improving the safety and reliability of wind turbines with lower material and labor costs.

[0065] Furthermore, for newly developed wind turbine units, the existing platform can be used for design without redesigning the overall impeller structure and drive structure, thereby shortening the product design and development cycle. At the same time, by sharing platforms or modules to the greatest extent, costs can be effectively reduced, further enhancing the competitiveness of new models.

[0066] Figure 7 This is a block diagram of a device 7 for determining the number of paddle-collecting devices installed according to an embodiment of the present disclosure.

[0067] The device 7 for determining the number of blade catchers may include a data acquisition unit 71 configured to simulate the operation of the wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined blade catch position, in order to obtain dynamic performance data of the wind turbine when at least one blade is in the predetermined blade catch position; and a quantity determination unit 72 configured to predict, based on the dynamic performance data, whether there is a risk of blade overspeed when at least one blade is in the predetermined blade catch position, and to determine the number of blade catchers to be installed for the wind turbine based on the prediction result.

[0068] The corresponding operations of the data acquisition unit 71 and the quantity determination unit 72 can be referred to above. Figures 1 to 6 The operations described are for understanding purposes, and for the sake of brevity, will not be elaborated upon here.

[0069] Figure 8This is a schematic diagram of a computing device 8 according to an embodiment of the present disclosure.

[0070] Reference Figure 8 The computing device 8 according to an embodiment of the present disclosure may include a memory 81 and a processor 82. The memory 81 stores a computer program 811, which, when executed by the processor 82, implements a method for determining the number of paddle-collecting devices installed according to an embodiment of the present disclosure.

[0071] In embodiments of this disclosure, when the computer program 811 is executed by the processor 82, reference can be implemented. Figures 1 to 6 The described method for determining the number of blade catchment devices to be installed involves: simulating the operation of the wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined blade catchment position, to obtain dynamic performance data of the wind turbine when at least one blade is in the predetermined blade catchment position; predicting, based on the dynamic performance data, whether there is a risk of blade overspeed when at least one blade is in the predetermined blade catchment position; and determining, based on the prediction results, the number of blade catchment devices to be installed for the wind turbine.

[0072] Figure 8 The computing device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments disclosed herein.

[0073] According to embodiments of the present disclosure, a computer-readable storage medium is also provided, having a computer program stored thereon that, when executed, implements a method for determining the number of paddle-collecting devices installed according to embodiments of the present disclosure.

[0074] In embodiments of this disclosure, the computer-readable storage medium may carry one or more programs, which, when executed, can achieve reference... Figures 1 to 6 The following operations are described: based on at least one blade of the wind turbine being in a predetermined jammed position, the operating conditions of the wind turbine under extreme wind conditions are simulated to obtain dynamic performance data of the wind turbine when at least one blade is in the predetermined jammed position; based on the dynamic performance data, the risk of blade overspeed is predicted when at least one blade is in the predetermined jammed position; based on the prediction results, the number of blade recovery devices to be installed for the wind turbine is determined.

[0075] Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In embodiments of this disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a computer program that can be used by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable storage medium can be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof. A computer-readable storage medium can be included in any apparatus; it can also exist independently without being assembled into that apparatus.

[0076] The above has been referred to Figures 1 to 8 Methods and apparatus for determining the number of paddle recovery devices installed according to embodiments of the present disclosure, wind turbine generators, computer-readable storage media, and computing devices are described. However, it should be understood that: Figure 7 The device and its individual units shown can be configured to perform specific functions as software, hardware, firmware, or any combination thereof. Figure 8 The computing device shown is not limited to the components shown above, but some components may be added or removed as needed, and the above components may also be combined.

[0077] The method and apparatus for determining the number of blade recovery devices according to embodiments of this disclosure, wind turbine, computer-readable storage medium, and computing device can achieve at least one of the following technical effects: By simulating the operating conditions of wind turbines of different models, the number of blade recovery devices can be determined for different configurations and load conditions. Blade recovery devices can be installed on a corresponding number of blades at a relatively low cost (instead of installing blade recovery devices on all blades), improving the safe blade recovery capability of the wind turbine, effectively reducing the risk of overspeed or runaway of the wind turbine, avoiding tower collapse accidents, and effectively improving the safety and reliability of the wind turbine. The installation of blade recovery devices can be achieved without modifying the blade structure, reducing modification costs and labor costs, which is beneficial to improving the safety and reliability of older models. For new models, common platform and common module development can also be carried out, improving the safety and reliability of the wind turbine while reducing costs and achieving safety redundancy.

[0078] Control logic or functions performed by various components or controllers in a control system can be represented by flowcharts or similar diagrams in one or more accompanying figures. These figures provide representative control strategies and / or logic, which can be implemented using one or more processing strategies (such as event-driven, interrupt-driven, multitasking, multithreading, etc.). Therefore, the individual steps or functions shown may be performed in the order shown, in parallel, or in some cases omitted. Although not always explicitly shown, those skilled in the art will recognize that one or more steps or functions shown may be repeatedly performed depending on the specific processing strategy used.

[0079] Although this disclosure has been shown and described with reference to preferred embodiments, those skilled in the art will understand that various modifications and variations may be made to these embodiments without departing from the spirit and scope of this disclosure as defined by the claims.

Claims

1. A method for determining the number of paddle-collecting devices to be installed, characterized in that, The method includes: Based on the fact that at least one blade of the wind turbine is in a predetermined jammed position, the working condition of the wind turbine under extreme wind conditions is simulated to obtain the dynamic performance data of the wind turbine when at least one blade is in the predetermined jammed position. Based on the dynamic performance data, predict whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position; Based on the prediction results, the number of blade recovery devices to be installed for the wind turbine is determined. The blade recovery device is a redundant drive blade recovery device or a one-way brake blade recovery device. The blade recovery device can drive the blades to recover when the main blade recovery device of the wind turbine fails.

2. The method according to claim 1, characterized in that, The simulation of the wind turbine's operation under extreme wind conditions, based on at least one blade of the wind turbine being in a predetermined jammed position, aims to obtain dynamic performance data of the wind turbine, including: Set a single blade to a predetermined jamming position; With the single blade in a predetermined jammed position, the operating conditions of the wind turbine under extreme wind conditions are simulated to obtain the dynamic performance data of the wind turbine when the single blade is in the predetermined jammed position.

3. The method according to claim 1, characterized in that, The simulation of the wind turbine's operation under extreme wind conditions, based on at least one blade of the wind turbine being in a predetermined jammed position, aims to obtain dynamic performance data of the wind turbine, including: Set multiple blades (less than all blades) to a predetermined jamming position; With the multiple blades in the predetermined jammed position, the operating conditions of the wind turbine under extreme wind conditions are simulated to obtain the dynamic performance data of the wind turbine when the multiple blades are in the predetermined jammed position.

4. The method according to claim 1, characterized in that, The simulation of the wind turbine's operation under extreme wind conditions, based on at least one blade of the wind turbine being in a predetermined jammed position, aims to obtain dynamic performance data of the wind turbine, including: Set all blades to the predetermined jamming position; With all blades in the predetermined jammed position, the operating conditions of the wind turbine under extreme wind conditions are simulated to obtain the dynamic performance data of the wind turbine when all blades are in the predetermined jammed position.

5. The method according to any one of claims 1 to 4, characterized in that, The step of predicting whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position based on the dynamic performance data includes: In response to the dynamic performance data being greater than the corresponding dynamic performance threshold and / or the dynamic performance data diverging over time, a risk of blade overspeed is predicted when at least one blade is in a predetermined jamming position; or, In response to the dynamic performance data being less than or equal to the corresponding dynamic performance threshold and / or the dynamic performance data converging over time, it is predicted that there is no risk of blade overspeed when at least one blade is in a predetermined jamming position.

6. The method according to any one of claims 1 to 4, characterized in that, The wind turbine has M blades. The step of determining the number of blade recovery devices to be installed for the wind turbine based on the prediction results includes: In response to the prediction that there is no risk of blade overspeed when N blades are in the predetermined jamming position and there is a risk of blade overspeed when N+1 blades are in the predetermined jamming position, it is determined that a blade recovery device will be installed for MN blades, where 1≤N<M.

7. The method according to claim 1, characterized in that, The redundant drive wheels of the redundant drive propeller take-up device are installed in the spare drive wheel positions of a predetermined number of blades, wherein the predetermined number is equal to the number of installations, and the spare drive wheel positions are the spare installation positions of the main drive wheels of the blades.

8. The method according to any one of claims 1 to 4, characterized in that, The predetermined propeller positions include multiple predetermined propeller positions, and / or The dynamic performance data includes at least one of the following: impeller speed data, unit load data, generator speed data, and nacelle acceleration data.

9. A device for determining the number of paddle-collecting devices to be installed, characterized in that, The device includes: The data acquisition unit is configured to simulate the working condition of the wind turbine under extreme wind conditions based on at least one blade of the wind turbine being in a predetermined jammed position, so as to obtain the dynamic performance data of the wind turbine when at least one blade is in the predetermined jammed position. The quantity determination unit is configured to predict, based on the dynamic performance data, whether there is a risk of blade overspeed when at least one blade is in a predetermined jamming position, and to determine, based on the prediction result, the number of blade recovery devices to be installed for the wind turbine, wherein the blade recovery device is a redundant drive blade recovery device or a one-way brake blade recovery device, and the blade recovery device is capable of driving the blades to recover when the main blade recovery device of the wind turbine fails.

10. A wind turbine generator set, characterized in that, The wind turbine unit includes: The blade drive unit is configured to drive the blades to perform pitch control. A redundant drive propeller recovery device includes redundant drive wheels, which are installed in spare drive wheel positions on a predetermined number of blades. The predetermined number is equal to the number of redundant drive propeller recovery devices installed, and the spare drive wheel positions are spare installation positions for the main drive wheels of the blades. The number of installations is determined according to the method described in any one of claims 1 to 8.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method according to any one of claims 1 to 8.

12. A computing device, characterized in that, The computing device includes: processor; A memory storing a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 8.

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