Fan load estimation method, system, device, medium, and program product

Abstract

This disclosure relates to the field of wind turbine simulation technology, specifically disclosing a wind turbine load estimation method, system, equipment, medium, and program product. The wind turbine load estimation method includes: obtaining estimated external excitation parameters of the wind turbine blades based on video footage of the blades under a target vibration state; obtaining a simulated vibration state of the wind turbine blades based on a model of the wind power generation equipment and the estimated external excitation parameters; adjusting the estimated external excitation parameters so that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range; and determining the estimated load of the wind power generation equipment under the target vibration state of the wind turbine blades based on the adjusted estimated external excitation parameters and the model of the wind power generation equipment. The technical solution provided by this disclosure can couple the vibration of the wind turbine blades with the overall dynamic response of the wind power generation equipment, improving the accuracy of load estimation for wind power generation equipment.

Description

Technical Field

[0001] This disclosure relates to the field of wind turbine simulation technology, and in particular to a wind turbine load estimation method, system, equipment, medium and program product. Background Technology

[0002] During the operation of wind power generation equipment, when the wind turbine blades exhibit complex and abnormal vibration patterns such as stall vibration and vortex-induced vibration, it may cause abnormal loads on the wind turbine rotor, transmission chain, tower and other subsystems of the wind power generation equipment, thereby affecting the safe operation of the entire wind power generation equipment.

[0003] In the existing technology, due to the limited number of sensors that can be deployed on wind power generation equipment, existing simulation software often cannot directly and accurately reproduce the complex vibration modes such as stall vibration and vortex-induced vibration of wind turbine blades during the operation of wind power generation equipment. This results in the inability to fully and accurately reflect the impact of wind turbine blade vibration on the load of the entire wind power generation equipment, which has an adverse effect on the safety and reliability of wind power generation equipment. Summary of the Invention

[0004] The purpose of this disclosure is to provide a wind turbine load estimation method, system, device, medium, and program product that can simulate and reproduce the external excitation caused by blade vibration during the wind power equipment load estimation process based on the captured images of wind turbine blades, thereby realizing the coupling of wind turbine blade vibration and the overall dynamic response of wind power equipment and improving the accuracy of wind power equipment load estimation.

[0005] To address the aforementioned technical problems, the first aspect of this disclosure provides a wind turbine load estimation method, which specifically includes the following steps: acquiring the vibration modal parameters and excitation structure parameters of the wind turbine blades based on a video recording of the wind turbine blades under a target vibration state; calculating and determining the estimated external excitation parameters of the wind turbine blades under the target vibration state based on the structural characteristic parameters, vibration modal parameters, and excitation structure parameters of the wind turbine blades; acquiring the simulated vibration state of the wind turbine blades based on the model of the wind power generation equipment and the estimated external excitation parameters; adjusting the estimated external excitation parameters so that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range; and determining the estimated load of the wind power generation equipment under the target vibration state of the wind turbine blades based on the adjusted estimated external excitation parameters and the model of the wind power generation equipment.

[0006] The second aspect of this disclosure provides a wind turbine load estimation system, which may specifically include: a vibration parameter acquisition unit, used to acquire vibration mode parameters and excitation structure parameters of the wind turbine blades based on video footage of the wind turbine blades under a target vibration state; an external excitation calculation unit, used to calculate and determine the estimated external excitation parameters of the wind turbine blades under the target vibration state based on the structural characteristic parameters, vibration mode parameters, and excitation structure parameters of the wind turbine blades; a blade vibration simulation unit, used to acquire the simulated vibration state of the wind turbine blades based on a model of the wind power generation equipment and the estimated external excitation parameters; an external excitation adjustment unit, used to adjust the estimated external excitation parameters so that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range; and a wind turbine load estimation unit, used to determine the estimated load of the wind power generation equipment under the target vibration state of the wind turbine blades based on the adjusted estimated external excitation parameters and the model of the wind power generation equipment.

[0007] A third aspect of this disclosure provides an electronic device, which may include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the processor stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the wind turbine load estimation method provided in the first aspect.

[0008] A fourth aspect of this disclosure provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the wind turbine load estimation method provided in the first aspect.

[0009] The fifth aspect of this disclosure provides a computer program product, which may specifically include a computer program that, when executed by a processor, implements the wind turbine load estimation method provided in the first aspect.

[0010] The technical solution provided in this disclosure can calculate and adjust the external excitation experienced by the wind turbine blades based on the captured images of the wind turbine blades. It can simulate and reproduce the external excitation caused by blade vibration during the load estimation process of wind power generation equipment. Then, based on the obtained accurate external excitation, it can determine the accurate load estimation of each structure of the wind power generation equipment, realize the coupling of wind turbine blade vibration and the overall dynamic response of wind power generation equipment, improve the accuracy of load estimation of wind power generation equipment under special blade vibration scenarios, and is particularly suitable for scenarios such as risk assessment of the operating status of wind power generation equipment and optimization of the design and development of wind power generation equipment. It helps to improve the safety and reliability of wind power generation equipment. Attached Figure Description

[0011] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0012] Figure 1 This is a schematic flowchart of a wind turbine load estimation method provided according to an embodiment of the present disclosure; Figure 2 This is a flowchart illustrating the process of calculating external excitation parameters for wind turbine blades under a target vibration state, according to an embodiment of this disclosure. Figure 3 This is a schematic flowchart of obtaining the simulated vibration state of a wind turbine blade according to an embodiment of the present disclosure; Figure 4 This is a flowchart illustrating how to adjust and calculate external excitation parameters according to an embodiment of the present disclosure so that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range. Figure 5 This is a schematic diagram of a wind turbine load estimation system provided according to an embodiment of the present disclosure; Figure 6 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present disclosure. Detailed Implementation

[0013] Based on the relevant descriptions in the background art, existing simulation software cannot directly and accurately reproduce the complex vibration modes such as stall vibration and vortex-induced vibration of wind turbine blades during operation, resulting in an inability to comprehensively and accurately reflect the impact of wind turbine blade vibration on the overall load of the wind power generation equipment. To solve the above technical problems, some embodiments of this disclosure provide a wind turbine load estimation method, system, device, medium, and program product. Based on captured images of the wind turbine blades, this method can simulate and reproduce the external excitation caused by blade vibration during the load estimation process of the wind power generation equipment, thereby achieving coupling between wind turbine blade vibration and the overall dynamic response of the wind power generation equipment, and improving the accuracy of load estimation for wind power generation equipment under special blade vibration scenarios.

[0014] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the various embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are provided in the embodiments of this disclosure to facilitate a better understanding of the disclosure. However, the technical solutions claimed in this disclosure can be implemented even without these technical details and various variations and modifications based on the following embodiments. The division of the following embodiments is for ease of description and should not constitute any limitation on the specific implementation of this disclosure. The various embodiments can be combined with and referenced by each other without contradiction.

[0015] In some embodiments of this disclosure, Figure 1 A flowchart illustrating a wind turbine load estimation method is shown, as follows: Figure 1 As shown, process 100 may specifically include the following steps: Step 110: Based on the video footage of the wind turbine blades under the target vibration state, obtain the estimated external excitation parameters of the wind turbine blades. In some embodiments, considering the limited number of sensors that can be deployed on wind power generation equipment, it is often impossible to directly calculate and obtain the loads of subsystems such as the wind turbine rotor, transmission chain, and tower in the wind power generation equipment based on the readings of the deployed sensors when the wind turbine blades are vibrating. In the technical solution provided in this disclosure, the target vibration state of the wind turbine blades is obtained by filming the movement of the wind turbine blades and analyzing and processing the filmed video footage. The target vibration state can be the actual vibration state of the wind turbine blades observed in the filmed video, which may correspond to complex vibration modes such as stall vibration and vortex-induced vibration of the wind turbine blades, and is not limited here. In some embodiments, further, after determining the target vibration state of the wind turbine blades, the external excitation conditions borne by the wind turbine blades can be estimated. The specific acquisition of the estimated external excitation parameters will be specifically explained in conjunction with the embodiments later, and will not be elaborated here.

[0016] Step 120: Based on the model of the wind power generation equipment and the calculated external excitation parameters, obtain the simulated vibration state of the wind turbine blades. In some embodiments, when the calculated external excitation parameters are obtained, the external excitation conditions borne by the wind turbine blades can be determined according to the calculated external excitation parameters, and the external excitation conditions are applied to the model of the wind power generation equipment for simulation, thereby obtaining the simulated vibration state of each wind turbine blade in the simulated wind power generation equipment. The simulated vibration state of the wind turbine blades may include the vibration amplitude of each preset reference point on the wind turbine blades. The model of the wind power generation equipment may specifically be the overall dynamic simulation model of the wind power generation equipment, etc., which is not limited here. The specific acquisition of the simulated vibration state will be specifically explained in conjunction with the embodiments later, and will not be elaborated here.

[0017] Step 130: Adjust the calculated external excitation parameters so that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range. It is understood that the calculated external excitation parameters obtained in Step 110 are based on video footage of the wind turbine blades. While they are similar to the actual external excitation experienced by the wind power generation equipment, there are still some differences. Continuous simulation and adjustment are needed to further correct the calculated external excitation parameters to improve the estimation accuracy of subsequent load conditions. In some embodiments, a closed-loop controller can be used during the adjustment of the calculated external excitation parameters. By continuously comparing the differences between the simulated vibration state and the target vibration state and successively correcting the calculated external excitation parameters, the simulated vibration state can be made as close as possible to the target vibration state of the wind turbine blades, thereby achieving high-precision simulation of external excitation conditions in a real environment. Specific adjustments to the calculated external excitation parameters will be explained in detail later in conjunction with embodiments, and will not be elaborated upon here.

[0018] Step 140: Based on the adjusted extrapolated external excitation parameters and the model of the wind power generation equipment, determine the estimated load of the wind power generation equipment when the wind turbine blades are under the target vibration state. It can be understood that the adjusted extrapolated external excitation parameters obtained through the above process 100 can reflect the actual external excitation situation experienced by the wind power generation equipment when the wind turbine blades are under the target vibration state. Applying this actual external excitation situation to the model of the wind power generation equipment allows for the accurate load situation of each subsystem in the wind power generation equipment under the vibration state of the wind turbine blades to be obtained through the corresponding load simulation solver. This can be applied not only to the risk assessment of the operating status of wind power generation equipment but also to the design and development optimization of wind power generation equipment, helping to improve the safety and reliability of wind power generation equipment. The specific implementation and execution of each step in the above process 100 will be further explained below with reference to specific embodiments.

[0019] In some embodiments of this disclosure, Figure 2 A schematic diagram of a process for obtaining the calculated external excitation parameters of a wind turbine blade under a target vibration state is shown, such as... Figure 2 As shown, process 200 may specifically include the following steps: Step 210: Obtain the structural characteristic parameters of the wind turbine blades. In some embodiments, the structural characteristic parameters of the wind turbine blades may specifically include the mass distribution parameters at at least one reference point on the wind turbine blades, wherein the mass distribution parameters can be used... Characterization: This represents the distance of the reference point from the center of the wind turbine rotor along the blade span direction. This represents the mass distribution parameter corresponding to the reference point, which characterizes the equivalent lumped mass (i.e., the mass of a very small segment corresponding to the location of the reference point) in the wind turbine blade. In other embodiments, specifically, the structural characteristic parameters of the wind turbine blade may also include the stiffness distribution parameter of at least one reference point on the wind turbine blade, wherein the stiffness distribution parameter can be used... Characterization: This represents the distance of the reference point from the center of the wind turbine rotor along the blade span direction. This represents the stiffness distribution parameter corresponding to the reference point. It characterizes the equivalent concentrated stiffness (i.e., the stiffness of a very small segment corresponding to the reference point) of the wind turbine blade at that reference point. Specifically, it can characterize one or any combination of bending stiffness, torsional stiffness, and axial stiffness at the reference point, without limitation. It is understood that since the shape and distribution of wind turbine blades along the blade span are usually not uniform, the mass distribution or stiffness distribution corresponding to each reference point on the wind turbine blade is also different. The above structural characteristic parameters can reflect the structural properties of a specific reference point on the wind turbine blade, and by default, they will not change with the dynamic influence of external excitation during the simulation process. Users can freely choose the specific items included in the structural characteristic parameters according to the needs of the actual application scenario, without limitation.

[0020] Step 220: Based on the video footage of the wind turbine blades, determine the vibration modal parameters and excitation structure parameters of the wind turbine blades. In some embodiments, the vibration modal parameters of the wind turbine blades may include the vibration mode type of the wind turbine blades under the target vibration state and the mode shape of at least one reference point on the wind turbine blades. The vibration mode type is used to characterize the current vibration state of the wind turbine blades, and may specifically include flapping mode (i.e., the wind turbine blades vibrate along a direction perpendicular to the plane of rotation), oscillation mode (i.e., the wind turbine blades vibrate along the plane of rotation), torsional mode (i.e., the wind turbine blades undergo torsional vibration around their spanwise axis), etc. Each mode can be further subdivided into first-order mode, second-order mode, third-order mode, etc. The higher the order, the more complex the deformation of the wind turbine blades, which is not limited here. The mode shape is used to characterize the blade deformation shape corresponding to the reference point when the wind turbine blades are in the current vibration mode type. The above vibration modal parameters can reflect the specific vibration situation of the wind turbine blades. In some embodiments, the excitation structural parameters of the wind turbine blade may include the initial vibration phase of the wind turbine blade under the target vibration state and the external excitation frequency, which can characterize the structural dynamic characteristics of the wind turbine blade under vibration. The contents of the excitation structural parameters can be freely selected according to the needs of the actual scenario, and are not limited here. In some embodiments, the above steps 210 and 220 may be executed synchronously or asynchronously, and when steps 210 and 220 are executed asynchronously, the execution order of the above two steps is not limited.

[0021] In some embodiments, specifically, in the process of determining the vibration modal parameters and excitation structure parameters of the wind turbine blades based on the captured video of the wind turbine blades, the vibration characteristics of the wind turbine blades can be extracted first based on the captured video. Specifically, this can include the vibration amplitude of the wind turbine blades and the vibration displacement state of each reference point in the captured video, and the current vibration mode type of the wind turbine blades can be determined by image analysis and other technical means. No limitation is made here. In some embodiments, further, when the vibration mode type of the wind turbine blades under the target vibration state is determined, the initial vibration phase, external excitation frequency, and mode shape of at least one reference point on the wind turbine blades under the target vibration state can be determined by model linearization analysis based on the wind turbine blade model. The wind turbine blade model can be a simulation model of the wind turbine blades, capable of simulating the vibration of the wind turbine blades according to the determined vibration mode type, and thus determining the "shape" of the reference point under that vibration mode type. Alternatively, other suitable technical means can be used to obtain the above-mentioned vibration modal parameters and excitation structure parameters according to the actual application. No limitation is made here.

[0022] Step 230: Based on the structural characteristic parameters, vibration modal parameters, and excitation structural parameters of the wind turbine blades, determine the estimated external excitation parameters of the wind turbine blades under the target vibration state. In some embodiments, the estimated external excitation parameters of the wind turbine blades under the target vibration state may include the external excitation force at at least one reference point on the wind turbine blades. In some embodiments, further, the external excitation force at a reference point on the wind turbine blades under the target vibration state can be obtained based on the following mathematical expression: ; in, Assuming the wind turbine blades are under the target vibration state, the distance from the center of the wind turbine rotor along the blade span direction is: The external excitation force on the reference point; This represents the initial vibration phase of the wind turbine blades under the target vibration state. The external excitation frequency of the wind turbine blades under the target vibration state; The mass distribution parameters for the aforementioned reference points; The above refers to the mode shape at the aforementioned reference point. It is understood that the above mathematical expression reflects the relationship between the external excitation force on the wind turbine blade and the structural response of the wind turbine blade when it is subjected to forced vibration. The external excitation force at at least one reference point on the wind turbine blade is positively correlated with the initial vibration phase of the wind turbine blade under the target vibration state, the square of the external excitation frequency, the mode shape at the reference point, and the mass distribution parameter at the reference point, respectively. These relationships are not limited here.

[0023] In some embodiments of this disclosure, Figure 3 A schematic diagram of a process for obtaining the simulated vibration state of wind turbine blades is shown, such as... Figure 3 As shown, process 300 may specifically include the following steps: Step 310: Determine the external excitation force acting on the wind power generation equipment based on the calculated external excitation parameters of the wind turbine blades. It is understood that, based on the relevant descriptions in the foregoing embodiments, the obtained external excitation parameters may include the external excitation force at at least one reference point on the wind turbine blades. This external excitation force is calculated based on images captured of the wind turbine blades and can be used to determine the initial external excitation force acting on the wind power generation equipment; however, this is not limited to this step.

[0024] Step 320: Based on the model of the wind power generation equipment, simulate the vibration of the wind turbine blades under the action of external excitation force, and take the vibration of the wind turbine blades as the simulated vibration state of the wind turbine blades. It can be understood that the model of the wind power generation equipment can be a whole dynamic simulation model of the wind power generation equipment, which can simulate the vibration of the wind turbine blades under the action of external excitation force to determine the simulated vibration state of the wind turbine blades. There is no limitation here.

[0025] In some embodiments of this disclosure, Figure 4 This diagram illustrates a process for adjusting the calculated external excitation parameters to ensure that the difference between the simulated vibration state and the target vibration state of the wind turbine blades is less than a preset range. Figure 4 As shown, process 400 may specifically include the following steps: Step 410: Based on the difference between the simulated vibration and the target vibration of the wind turbine blades, adjust the extrapolated external excitation parameters to make the simulated vibration state tend towards the target vibration state. It is understood that initially, the simulated vibration of the wind turbine blades is determined based on the extrapolated external excitation parameters obtained in the aforementioned embodiment. Since the extrapolated external excitation parameters are calculated from the captured video of the wind turbine blades and back-calculated using forced vibration formulas, and the external excitation experienced by the actual vibration of the wind turbine blades may not all come from environmental influences such as wind directly acting on the blades (e.g., it may be transmitted from other components of the wind power generation equipment), there may be a certain difference between the simulated vibration and the target vibration. In this case, the extrapolated external excitation parameters can be adjusted using a closed-loop controller. Specifically, the input to the closed-loop controller can be the difference between the simulated and target vibration of the wind turbine blades, after passing through the gain of the stiffness distribution parameters at various reference points on the wind turbine blades. The output of the closed-loop controller can be the adjusted extrapolated external excitation parameters. The adjustment standard is to minimize the difference between the simulated and target vibration states of the wind turbine blades, which is not limited here. In some embodiments, the simulated vibration state of the wind turbine blade specifically includes the simulated vibration amplitude at at least one reference point on the wind turbine blade; correspondingly, the target vibration state of the wind turbine blade includes the target vibration amplitude at at least one reference point on the wind turbine blade. In some embodiments, the target vibration amplitude at at least one reference point on the wind turbine blade is further determined based on the tip vibration amplitude, initial vibration phase, external excitation frequency, and mode shape of the reference point when the wind turbine blade is in the target vibration state, and can be obtained based on the following mathematical expression: ; in, The distance from the center of the wind turbine rotor along the blade span direction is _____. The target vibration amplitude at the reference point; This refers to the tip vibration amplitude of the wind turbine blade under the target vibration state. This represents the initial vibration phase of the wind turbine blades under the target vibration state. The external excitation frequency of the wind turbine blades under the target vibration state; These are the mode shapes at the aforementioned reference points.

[0026] Step 420: Repeat the above steps until the simulated vibration of the wind turbine blades is the same as the target vibration, or the difference between the simulated vibration and the target vibration no longer decreases with adjustments to the calculated external excitation parameters. It can be understood that when the simulated vibration of the wind turbine blades is the same as the target vibration, or the difference between the simulated vibration and the target vibration no longer decreases with adjustments to the calculated external excitation parameters, it indicates that the adjusted calculated external excitation parameters at this point allow the vibration of the wind turbine blades to approximate the target vibration as closely as possible. These adjusted calculated external excitation parameters accurately reflect the external excitation force borne by the wind power generation equipment when the wind turbine blades are in the target vibration state. Based on this external excitation force, the load simulation solver for the wind power generation equipment can accurately obtain the load conditions of various subsystems such as the wind turbine rotor, transmission chain, and tower.

[0027] In some embodiments, the wind turbine load estimation method provided in this disclosure can be applied to risk assessment during the operation of wind power generation equipment. Specifically, multiple camera sensors can be deployed in a wind farm containing multiple wind power generation equipment to continuously monitor the operating wind turbine blades through video captured by the camera sensors. When a large vibration amplitude is detected in a wind turbine blade, vibration characteristic analysis (such as vibration amplitude, vibration mode, etc.) is performed based on the collected video data, and the estimated external excitation parameters corresponding to the wind turbine blade are determined. Then, based on the estimated external excitation parameters, continuous external excitation forces are applied at multiple reference points of the wind turbine blade. Through the simulation model of the wind power generation equipment, closed-loop control is used to ensure that the simulated vibration mode of the wind turbine blade is consistent with the actual observed mode, thereby realizing the reproduction of the real vibration of the wind turbine blade and determining the load changes of each subsystem in the wind power generation equipment under this condition. By analyzing the load data, it is possible to accurately determine whether the vibration of the wind turbine blade will cause potential safety risks to the wind turbine rotor, transmission chain, tower and other subsystems of the wind power generation equipment, which helps to formulate maintenance strategies in a timely manner and effectively avoid possible escalation of operational risks.

[0028] In some embodiments, the wind turbine load estimation method provided in this disclosure can also be applied to the wind turbine design optimization stage: specifically, by collecting historical vibration characteristic data of wind turbine blades, corresponding design load conditions can be formed, and through the simulation model of wind power equipment, the blades can be simulated to vibrate according to the description in the specified design load conditions. At the same time, the vibration simulation loads of each subsystem of the wind power equipment are output, which helps designers to combine standard design loads and blade vibration loads to optimize the subsystem structure of wind power equipment such as wind turbine, transmission chain, and tower, thereby improving the operational reliability of the entire wind power equipment under abnormal blade vibration conditions. This is not limited here.

[0029] In some embodiments of this disclosure, Figure 5 A schematic diagram of a wind turbine load estimation system is shown, as follows: Figure 5 As shown, the wind turbine load estimation system 500 may specifically include a vibration parameter acquisition unit 510, an external excitation calculation unit 520, a blade vibration simulation unit 530, an external excitation adjustment unit 540, and a wind turbine load estimation unit 550.

[0030] In some embodiments, specifically, such as Figure 5 The vibration parameter acquisition unit 510 shown can be used to acquire the vibration modal parameters and excitation structure parameters of the wind turbine blade based on the video captured when the wind turbine blade is in the target vibration state; the external excitation calculation unit 520 can be used to calculate and determine the external excitation parameters of the wind turbine blade in the target vibration state based on the structural characteristic parameters, vibration modal parameters and excitation structure parameters of the wind turbine blade; the blade vibration simulation unit 530 can be used to acquire the simulated vibration state of the wind turbine blade based on the model of the wind power generation equipment and the calculated external excitation parameters; the external excitation adjustment unit 540 can be used to adjust the calculated external excitation parameters so that the difference between the simulated vibration state and the target vibration state of the wind turbine blade is less than a preset range; the wind turbine load estimation unit 550 can be used to determine the estimated load of the wind power generation equipment when the wind turbine blade is in the target vibration state based on the adjusted calculated external excitation parameters and the model of the wind power generation equipment.

[0031] Some embodiments of this disclosure also relate to an electronic device that can be used to implement any one or more functional modules of the vibration parameter acquisition unit 510, external excitation calculation unit 520, blade vibration simulation unit 530, external excitation adjustment unit 540, and wind turbine load estimation unit 550 provided in the foregoing embodiments, without limitation herein. Figure 6 A schematic diagram of the structure of an electronic device is shown, such as... Figure 6As shown, the electronic device includes at least one processor 610 and a memory 620 communicatively connected to the at least one processor. The memory 620 stores instructions that can be executed by the at least one processor 610, which enables the at least one processor 610 to perform the various steps in the wind turbine load estimation method provided in the foregoing embodiments.

[0032] The memory 620 and processor 610 are connected via a bus, which may include any number of interconnecting buses and bridges, connecting various circuits of one or more processors 610 and memory 620 together. The bus may also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 610 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to the processor.

[0033] In some embodiments, the processor 610 may be responsible for managing the bus and general processing, and may also provide various functions, including calculating and determining external excitation parameters, adjusting external excitation parameters based on closed-loop control, etc. The memory 620 may be used to store data used by the processor when performing operations, such as structural characteristic parameters of the wind turbine blades, preset vibration mode types, and judgment criteria, etc., without limitation.

[0034] Some embodiments of this disclosure also relate to a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the various steps in the wind turbine load estimation method provided in the foregoing embodiments. In some embodiments, the computer-readable storage medium may include flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., provided on the computer device. Of course, the computer-readable storage medium may also include both internal storage units and external storage devices of a computer device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the computer device, such as the program code corresponding to the wind turbine load estimation method in this embodiment. Furthermore, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0035] Some embodiments of this disclosure also relate to a computer program product, including a computer program that, when executed by a processor, implements the wind turbine load estimation method provided in the foregoing embodiments.

[0036] In some embodiments, the computer program product may involve only a computer program, which may be carried on a storage medium or a processing device. In other embodiments, the computer program product may also be a storage medium or processing device containing the aforementioned computer program. The processing device may include one or more processors, and the storage medium. Those skilled in the art will understand that a program can instruct related hardware to implement all or part of the steps in the wind turbine load estimation method provided in the above embodiments. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps in the wind turbine load estimation method provided in the various embodiments of this disclosure.

[0037] The basic concepts have been described above. It is obvious that the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, various modifications, improvements, and corrections may be made to this specification by those skilled in the art. Such modifications, improvements, and corrections are taught in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

Claims

1. A method for estimating wind turbine load, characterized in that, include: Based on the video footage of the wind turbine blades under the target vibration state, the vibration mode parameters of the wind turbine blades and the excitation structure parameters of the wind turbine blades are obtained. Based on the structural characteristic parameters of the wind turbine blades, the vibration mode parameters, and the excitation structure parameters, the extrapolated external excitation parameters are calculated to determine the wind turbine blades under the target vibration state. Based on the model of the wind power generation equipment and the calculated external excitation parameters, the simulated vibration state of the wind turbine blades is obtained; The calculated external excitation parameters are adjusted so that the difference between the simulated vibration state of the wind turbine blade and the target vibration state is less than a preset range. as well as Based on the adjusted external excitation parameters and the model of the wind power generation equipment, the estimated load of the wind power generation equipment under the target vibration state of the wind turbine blades is determined.

2. The wind turbine load estimation method according to claim 1, characterized in that, The excitation structure parameters of the wind turbine blade include the initial vibration phase of the wind turbine blade under the target vibration state and the external excitation frequency. The vibration modal parameters of the wind turbine blade include the vibration mode type of the wind turbine blade under the target vibration state and the mode shape of at least one reference point on the wind turbine blade. The acquisition of vibration mode parameters and excitation structure parameters of the wind turbine blades based on the captured video of the wind turbine blades under target vibration conditions includes: Based on the captured video, the vibration mode type of the wind turbine blade under the target vibration state is determined; Based on the model of the wind turbine blade and the vibration mode type of the wind turbine blade, the external excitation frequency, the initial vibration phase, and the mode shape of at least one reference point on the wind turbine blade under the target vibration state are determined.

3. The wind turbine load estimation method according to claim 2, characterized in that, The structural characteristic parameters of the wind turbine blades include the mass distribution parameters at the reference point. The calculated external excitation parameters for the wind turbine blades under the target vibration state include the external excitation force at the reference point. The external excitation force on the reference point is positively correlated with the initial vibration phase of the wind turbine blade under the target vibration state, the square of the external excitation frequency, the mode shape of the reference point, and the mass distribution parameter of the reference point.

4. The wind turbine load estimation method according to claim 1, characterized in that, The method of obtaining the simulated vibration state of the wind turbine blades based on the model of the wind power generation equipment and the calculated external excitation parameters includes: Based on the calculated external excitation parameters of the wind turbine blades, the external excitation force acting on the wind power generation equipment is determined. Based on the model of the wind power generation equipment, the vibration of the wind turbine blades under the action of the external excitation force is simulated, and the vibration of the wind turbine blades is taken as the simulated vibration state of the wind turbine blades.

5. The wind turbine load estimation method according to claim 1, characterized in that, The simulated vibration state of the wind turbine blades includes the simulated vibration amplitude at at least one reference point on the wind turbine blades. The target vibration state of the wind turbine blade includes the target vibration amplitude at at least one reference point on the wind turbine blade; The target vibration amplitude at at least one reference point on the wind turbine blade is determined based on the tip vibration amplitude, initial vibration phase, external excitation frequency, and mode shape of the reference point when the wind turbine blade is in the target vibration state.

6. A wind turbine load estimation system, characterized in that, include: The vibration parameter acquisition unit is used to acquire the vibration mode parameters of the wind turbine blade and the excitation structure parameters of the wind turbine blade based on the video captured when the wind turbine blade is in the target vibration state. An external excitation calculation unit is used to calculate the external excitation parameters to determine the wind turbine blade under the target vibration state based on the structural characteristic parameters of the wind turbine blade, the vibration mode parameters, and the excitation structure parameters. The blade vibration simulation unit is used to obtain the simulated vibration state of the wind turbine blades based on the model of the wind power generation equipment and the calculated external excitation parameters. An external excitation adjustment unit is used to adjust the calculated external excitation parameters so that the difference between the simulated vibration state of the wind turbine blade and the target vibration state is less than a preset range. The wind turbine load estimation unit is used to determine the estimated load of the wind power generation equipment when the wind turbine blades are under the target vibration state, based on the adjusted calculated external excitation parameters and the model of the wind power generation equipment.

7. An electronic device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The processor stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the wind turbine load estimation method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the wind turbine load estimation method as described in any one of claims 1 to 5.

9. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the wind turbine load estimation method as described in any one of claims 1 to 5.

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