Methods and apparatus for determining blade sweep, storage medium, and electronic devices.

Abstract

This application discloses a method and apparatus, storage medium, electronic device, and computer program product for determining the sweep amount of a blade. The method includes: adjusting the tip sweep amount of the blade to be determined under a preset wind speed and determining the blade state parameters corresponding to each sweep amount, obtaining multiple sets of test data, wherein each set of test data includes a sweep amount value and the corresponding blade state parameters; establishing a correspondence between the blade sweep amount and the state parameters based on the multiple sets of test data; determining a target sweep amount that meets the constraints based on the blade design parameters and the correspondence, wherein the constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that meets the constraints. Under the premise of meeting safety and design requirements, the largest possible sweep amount is found as the target sweep amount, thereby minimizing the blade load and improving the overall performance and economy of the wind turbine.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and more specifically, to a method and apparatus for determining the sweep amount of a blade, a storage medium, an electronic device, and a computer program product. Background Technology

[0002] With the continuous development of renewable energy technologies, wind power, as a clean and pollution-free renewable energy generation method, has attracted widespread attention. Wind power systems convert wind energy into electrical energy, realizing wind power generation. In the field of wind power, blade design has become a key factor in improving the efficiency and economy of wind turbines. The aerodynamic shape design of the blades, especially the sweep angle at the blade tip, has a significant impact on the operating efficiency, structural stability, and system cost of wind turbines. The sweep angle design aims to reduce the dynamic load on the blades at different wind speeds and wind directions by adjusting the tilt angle of the blades along their axial direction.

[0003] In related technologies, the sweep amount of blades is mostly determined through historical experience.

[0004] However, determining the blade sweep angle requires consideration of blade design parameters and the operating environment. Excessive sweep angle leads to poor aerodynamic stability, making the blade prone to flutter and affecting its lifespan. Conversely, insufficient sweep angle results in vortices, degrading aerodynamic performance and impacting wind turbine efficiency. Therefore, determining the optimal balance between aerodynamic performance and stability is a problem that needs to be solved. Summary of the Invention

[0005] This application provides a method and apparatus for determining the sweep amount of a blade, a storage medium, an electronic device, and a computer program product.

[0006] According to one aspect of the embodiments of this application, a method for determining the sweep amount of a blade is provided, comprising: adjusting the sweep amount of the blade tip of the blade whose sweep amount is to be determined under a preset wind speed condition and determining the state parameters of the blade corresponding to each sweep amount, obtaining multiple sets of test data, wherein each set of test data includes a value of a sweep amount and the corresponding state parameters of the blade; establishing a correspondence between the sweep amount of the blade and the state parameters based on the multiple sets of test data; determining a target sweep amount that satisfies the constraint conditions based on the blade design parameters and the correspondence, wherein the constraint conditions are related to the design parameters, and the target sweep amount is the maximum sweep amount that satisfies the constraint conditions.

[0007] In an exemplary embodiment, under rated wind speed conditions, the blade tip sweep is adjusted; the root torque and tip torsional deformation angle of the blade are determined for each sweep; and each set of sweep and the corresponding root torque and tip torsional deformation angle of the blade are associated and recorded to obtain multiple sets of test data.

[0008] In an exemplary embodiment, the rated root torque of the blade under rated wind speed conditions is determined based on the blade's design parameters; the rate of change of blade torque under each sweep is determined based on the root torque and rated root torque of the blade under each sweep; a first correspondence between sweep and the rate of change of blade torque is constructed based on multiple sets of sweep and the corresponding rate of change of blade torque; and a second correspondence between sweep and the tip torsional deformation angle is constructed based on multiple sets of sweep and the corresponding blade tip torsional deformation angle.

[0009] In an exemplary embodiment, the maximum root torque of the blade is determined based on the blade's design parameters; the maximum torque change rate is determined based on the maximum root torque and the preset maximum torque that the pitch system can withstand; the first sweep amount is determined based on the maximum torque change rate and a first correspondence; and the target sweep amount is determined based on the first sweep amount and the constraint conditions.

[0010] In an exemplary embodiment, the maximum torsional deformation angle of the blade tip is determined based on the blade's design parameters; a second sweep amount is determined based on the maximum torsional deformation angle and a second correspondence; and a target sweep amount is determined based on the first sweep amount and the second sweep amount.

[0011] In an exemplary embodiment, the method further includes: designing the blade tip sweep amount based on the determined target sweep amount to obtain a blade model; simulating the working conditions of the blade model to determine the load conditions of the blade model; and correcting the sweep amount of the blade model based on the load conditions.

[0012] Another aspect of this application provides a device for determining the sweep amount of a blade. The device includes: a data determination module, used to adjust the sweep amount of the blade tip of the blade whose sweep amount is to be determined under a preset wind speed and determine the state parameters of the blade corresponding to each sweep amount, thereby obtaining multiple sets of test data; a correspondence establishment module, used to establish a correspondence between the sweep amount of the blade and the state parameters based on the multiple sets of test data; and a sweep amount determination module, used to determine the target sweep amount that satisfies the constraint conditions based on the blade's design parameters and the correspondence, wherein the target sweep amount is the maximum sweep amount that satisfies the constraint conditions.

[0013] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, wherein a computer program is stored in the computer-readable storage medium, and the computer program is configured to execute the method for determining the sweep amount of the blade at runtime.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-described method for determining the sweep amount of the blade through the computer program.

[0015] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of the methods described in various embodiments of this application.

[0016] The method for determining the sweep angle of the blade described above, by acquiring the blade's state parameters under different sweep angle conditions as test data, provides an empirical basis for subsequent analysis and modeling. This data not only reflects the blade's aerodynamic performance but also reveals the impact of sweep angle on the blade structure and dynamic response, providing crucial information for finding the optimal sweep angle. By establishing the correspondence between the blade's sweep angle and state parameters, the impact of different sweep angles on blade performance can be predicted, significantly improving design efficiency and accuracy. It also helps determine the critical point between sweep angle and blade state, providing a basis for determining the optimal sweep angle. Through the correspondence and design parameters, the target sweep angle is determined, and constraints are set to ensure that, while meeting safety and design requirements, the largest possible sweep angle is found as the target sweep angle, thereby minimizing blade load and improving the overall performance and economy of the wind turbine. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a hardware structure block diagram of the method for determining the sweep amount of a blade according to an embodiment of this application;

[0020] Figure 2 This is a flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0021] Figure 3 This is a second flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0022] Figure 4 This is the third flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0023] Figure 5 This is the fourth flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0024] Figure 6 This is the fifth flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0025] Figure 7 This is the sixth flowchart of a method for determining the sweep amount of a blade according to an embodiment of this application;

[0026] Figure 8 This is a structural block diagram of a blade sweep measurement device according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data used in this way can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] The methods and embodiments provided in this application can be executed on a computer terminal or similar computing device. Taking running on a computer terminal as an example, Figure 1 This is a hardware structure block diagram of a computer terminal for a method of determining the blade sweep amount according to an embodiment of this application. For example... Figure 1 As shown, a computer terminal may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor (MPU) or a programmable logic device (PLD)) and a memory 104 for storing data are also shown. In one exemplary embodiment, the computer terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the computer terminal described above. For example, the computer terminal may also include components that are more complex than those described above. Figure 1 The more or fewer components shown, or having the same Figure 1 Equivalent functions or ratios shown Figure 1 The functions shown have more different configurations.

[0030] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the method for determining the sweep amount of the blades in this embodiment. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0031] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider for the computer terminal. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0032] This embodiment provides a method for determining the sweep amount of a blade. Figure 2 This is a flowchart of an optional method for determining the sweep amount of a blade according to an embodiment of this application, the process including the following steps S200-S220:

[0033] Step S200: Under a preset wind speed, adjust the sweep amount of the blade tip of the blade whose sweep amount is to be determined and determine the state parameters of the blade corresponding to each sweep amount to obtain multiple sets of test data.

[0034] Each set of test data includes a sweep value and the corresponding blade state parameters.

[0035] Specifically, performance data of the blades under different tip sweep angles can be collected through experiments or simulations. This data will be used for subsequent analysis and modeling to determine an optimal sweep angle. The preset wind speed conditions should include typical operating conditions of the wind turbine, such as rated wind speed, design wind speed, and extreme wind speed conditions that may be encountered, ensuring that the data covers the load range that the blades may experience.

[0036] For example, this can be achieved using wind tunnel experiments or numerical simulation software for blade dynamic loads (such as ANSYS, Abaqus, or dedicated wind power simulation software). During experiments or simulations, precise control of the blade tip sweep is required, which can be achieved using a blade model with an adjustable sweep angle or through software parameter adjustments. Recorded blade state parameters should include, but are not limited to, root torque, tip torsional deformation angle, blade vibration frequency, and wind power efficiency to comprehensively evaluate the impact of sweep on blade performance.

[0037] Step S210: Based on multiple sets of test data, establish the correspondence between the blade sweep and state parameters.

[0038] Specifically, a mathematical model was established based on multiple sets of test data to establish the relationship between blade tip sweep and key state parameters (such as blade root torque and blade tip torsional deformation angle). This model can predict how the blade's state parameters will change given any blade tip sweep, providing theoretical support for design optimization.

[0039] For example, statistical methods, such as linear regression, multinomial regression, or nonlinear regression, can be used to fit the relationship between the sweep amount and the state parameters. First, the data is preprocessed, such as removing outliers and standardizing the data, to ensure the accuracy of the model. Then, mathematical methods for linear fitting are used to analyze the relationship between the sweep amount and the state parameters, outputting the fitted equation. Furthermore, data visualization tools, such as scatter plots or line graphs, can be used to visually display the changing trends between the sweep amount and the state parameters.

[0040] Step S220: Determine the target sweep amount that meets the constraints based on the blade design parameters and corresponding relationships.

[0041] Among them, the constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that satisfies the constraints.

[0042] Specifically, based on the overall design requirements and system constraints of the wind turbine, an optimal blade tip sweep is determined. This optimal sweep should not only meet the load reduction requirements of the blade, but also consider factors such as the bearing capacity of the pitch system and the aeroelastic stability of the blade to ensure the feasibility of the design.

[0043] For example, design parameters and constraints can be clearly defined, such as maximum pitch torque limits, structural stability thresholds, and cost-benefit analysis results. Then, these constraints are substituted into the mathematical model established in step 2, and the maximum sweep angle that optimizes blade performance while satisfying all constraints is found through calculation or optimization algorithms (such as gradient descent, genetic algorithms, etc.). Finally, this sweep angle is verified through comparative analysis or further experiments to ensure its feasibility and reliability in practical applications.

[0044] It should be noted that sweep refers to the degree of skewing or tilting of a wind turbine blade along its axial direction (from the root to the tip, or from the root to the tip). Swept-back design is typically used to improve aerodynamic performance. In wind turbine blade design, the introduction of sweep primarily aims to reduce the load on the blade during operation, particularly dynamic loads caused by non-uniform wind speed distribution and turbulence. By tilting the blade tip backward, the direction and magnitude of the force exerted by the wind on the blade can be altered, thereby achieving a degree of "self-stabilization" of the blade, reducing mechanical stress on the pitch system and blade root, ultimately lowering the overall cost of the wind turbine and improving operational reliability.

[0045] In this embodiment, by acquiring the blade's state parameters under different sweep conditions as test data, an empirical basis can be provided for subsequent analysis and modeling. This data not only reflects the blade's aerodynamic performance but also reveals the impact of sweep on the blade's structure and dynamic response, providing crucial information for finding the optimal sweep. By establishing the correspondence between the blade's sweep and state parameters, the impact of different sweep amounts on blade performance can be predicted, significantly improving design efficiency and accuracy. It also helps determine the critical point between sweep and blade state, providing a basis for determining the optimal sweep. Through the correspondence and design parameters, the target sweep is determined, and constraints are set to ensure that, while meeting safety and design requirements, the largest possible sweep is found as the target sweep, thereby minimizing blade load and improving the overall performance and economy of the wind turbine.

[0046] In one embodiment, such as Figure 3 As shown, in step S200, under a preset wind speed, the sweep amount of the blade tip of the blade whose sweep amount is to be determined is adjusted, and the state parameters of the blade corresponding to each sweep amount are determined, resulting in multiple sets of test data. This includes steps S300-S330:

[0047] Step S300: Determine the rated wind speed condition corresponding to the blade based on the blade's design parameters and operating environment.

[0048] Specifically, in wind turbine blade design, the rated wind speed condition refers to the wind speed at which the wind turbine can achieve its design power under normal operating conditions. This parameter is crucial for the aerodynamic design of the blade because it directly affects the blade's efficiency, load, and stability. Determining the rated wind speed condition is the foundation for evaluating blade performance and optimizing its design.

[0049] For example, the determination of the rated wind speed operating condition is typically based on the overall design parameters of the wind turbine, including rated power, rotational speed, blade length, and blade material, as well as the specific environmental conditions of the wind farm, such as average wind speed, turbulence intensity, and wind direction variations. The output power of the blades under different wind speed conditions can be obtained through wind power generation theory calculations or by using wind power generation simulation software, inputting blade design parameters and environmental parameters for simulation analysis. By analyzing the power curve, the wind speed at which the blade output power equals the rated power can be found, i.e., the rated wind speed operating condition.

[0050] Step S310: Under rated wind speed conditions, adjust the blade tip sweep.

[0051] Specifically, adjusting the tip sweep is to explore the impact of sweep variation on blade performance, especially under rated wind speed conditions. By systematically varying the sweep, dynamic load data of the blade under different sweep designs can be collected, providing a basis for subsequent optimization.

[0052] For example, wind tunnel experiments can be conducted using blade models with adjustable sweep angles, or the blade geometry can be modified in numerical simulation software to simulate the behavior of blades with different sweep designs under rated wind speed conditions. In experiments or simulations, the sweep angle should cover a reasonable range, from 0 degrees (no sweep) to the maximum possible sweep angle, to comprehensively evaluate the impact of sweep angle on blade performance.

[0053] Step S320: Determine the root torque and tip torsional deformation angle of the blade for each sweep amount.

[0054] Specifically, root torque and tip torsional deformation angle are important indicators for evaluating the dynamic load and structural stability of blades. After adjusting the sweep angle, these parameters must be measured or calculated to assess the specific impact of the sweep angle on blade performance.

[0055] For example, root torque can be directly measured by a torque sensor fixed at the blade root in a wind tunnel experiment, or calculated in a numerical simulation. The blade tip torsional deformation angle can be calculated by monitoring the displacement change at the blade tip using a laser displacement sensor, or obtained through structural analysis in a simulation. This process should be repeated for each sweep angle to ensure data accuracy and repeatability.

[0056] In step S330, the sweep amount of each set is correlated with the root torque and tip torsional deformation angle of the corresponding blade and recorded to obtain multiple sets of test data.

[0057] For example, data logging and management tools (such as spreadsheets, databases, etc.) are used to record each sweep amount in relation to its corresponding root torque and tip torsional deformation angle, ensuring data accuracy and traceability. Data records should include sufficient sample points, covering from 0 degrees to the maximum possible sweep angle, to ensure the comprehensiveness and accuracy of the model.

[0058] In this embodiment, after determining the rated wind speed condition, adjusting the blade tip sweep can simulate the actual working conditions more accurately. By adjusting the blade tip sweep and recording performance parameters, a series of test data can be obtained. This data will be used to establish the relationship between sweep and blade performance parameters. This step is fundamental to ensuring that subsequent optimization analysis is based on actual blade performance changes, helping to find the optimal sweep that reduces blade load while maintaining structural stability. The collected root torque and blade tip torsional deformation angle data not only reveal the direct impact of sweep on blade dynamic load but also help evaluate the comprehensive impact of different sweep designs on blade structural stability and aerodynamic efficiency. Recording this data provides crucial information for establishing a precise mathematical model between sweep and blade performance parameters, making it an indispensable step in the optimization design process. The compiled test dataset contains rich information on the relationship between sweep and blade performance parameters, serving as the foundation for subsequent model building and optimization analysis. The accuracy and completeness of this data directly affect the reliability and effectiveness of subsequent analysis, helping to understand the impact of sweep on blade performance more deeply and providing a scientific basis for determining the optimal sweep. By correlating and recording the data, the influence trends of different sweep angles on the dynamic load and structural stability of the blades can be clearly identified, providing strong support for subsequent model building and parameter optimization.

[0059] In one embodiment, such as Figure 4 As shown, step S210 establishes the correspondence between the blade sweep and state parameters based on multiple sets of test data. This includes steps S400-S430:

[0060] Step S400: Determine the rated root torque of the blade under rated wind speed conditions based on the blade's design parameters.

[0061] Specifically, the rated root torque refers to the theoretical torque value that the blade will bear at the blade root when the blade is running stably at rated wind speed. It is an important parameter in blade design, directly related to the output power of the wind turbine and the stress on the blade structure, and also serves as a benchmark for evaluating the impact of sweep adjustment on blade load.

[0062] For example, the rated root torque can be obtained through theoretical calculations. Using design parameters such as the wind turbine's rated power, rotational speed, blade length, and wind speed, combined with the blade angle distribution and wind force distribution, the theoretical torque at the blade root under rated wind speed conditions can be calculated. Alternatively, the blade root torque value can be obtained through simulation analysis in wind power generation simulation software by inputting design parameters and rated wind speed conditions. The method most suitable for one's design conditions and accuracy requirements should be selected.

[0063] Step S410: Determine the rate of change of blade torque at each sweep amount based on the root torque and rated root torque of the blade at each sweep amount.

[0064] Specifically, the torque change rate is the ratio of the change in blade root torque to the rated root torque, which quantifies the specific effect of sweep adjustment on reducing blade load.

[0065] For example, firstly, the blade root torque for each sweep amount is extracted from the test data. Then, based on the ratio of the blade root torque to the rated root torque, the torque variation rate for each sweep amount is determined. During the design process, the accuracy and consistency of the data should be ensured to avoid measurement errors or calculation mistakes.

[0066] Step S420: Based on multiple sets of sweep amount and the corresponding blade torque change rate, construct the first correspondence between sweep amount and blade torque change rate.

[0067] Specifically, establishing the first correspondence is the process of converting the data between the sweep amount and the torque change rate into a mathematical model, which helps with subsequent analysis and parameter optimization.

[0068] Specific implementation methods: Statistical methods, such as linear regression, multinomial regression, or nonlinear regression, can be used to fit the test data and establish a mathematical relationship between the sweep amount Li and the torque change rate. The choice of specific method should be based on the distribution characteristics of the data to ensure the accuracy and applicability of the model. Using data analysis and visualization tools can simplify this process and improve analytical efficiency.

[0069] Step S430: Based on multiple sets of sweep amount and the corresponding blade tip torsion deformation angle, construct a second correspondence between sweep amount and blade tip torsion deformation angle.

[0070] Specifically, the tip twist angle reflects the degree of blade twisting under wind force and is an important parameter for evaluating blade aeroelastic stability. Constructing a second correspondence aims to analyze the relationship between sweep and blade structural stability, ensuring that the aeroelastic stability of the blade is not compromised while pursuing load reduction.

[0071] For example, similarly, a mathematical model relating sweep amount and tip torsional deformation angle can be constructed through linear or nonlinear regression analysis.

[0072] In this embodiment, determining the rated root torque provides a clear reference point for evaluating the effect of sweep adjustment in subsequent steps, which helps to quantitatively analyze the impact of different sweep angles on reducing blade dynamic loads. The calculation of the torque change rate provides a quantitative indicator of the impact of sweep adjustment on blade loads, which helps to evaluate the load reduction effect of different sweep angle designs and is a crucial step in finding the optimal sweep angle design. The constructed first correspondence model can predict the torque change rate of the blade under a specific sweep angle, providing a rapid method for evaluating the effect of sweep adjustment without repeating experiments or simulations, thereby improving the efficiency and accuracy of design optimization.

[0073] In one embodiment, such as Figure 5 As shown, step S220 determines the target sweep amount that satisfies the constraints based on the blade design parameters and their corresponding relationships. This includes steps S500-S530:

[0074] Step S500: Determine the maximum root torque of the blade based on the blade's design parameters.

[0075] Specifically, the maximum root torque is the maximum torque that the blade may withstand at the blade root under extreme wind speeds or abnormal operating conditions. Determining this parameter is crucial for evaluating the structural strength and safety of the blade, and it directly relates to the reliability of the blade design.

[0076] For example, the determination of the maximum root torque is typically based on the blade geometry, material properties, and operating parameters of the wind turbine, combined with statistical analysis of wind speed distribution and turbulence intensity. Wind power simulation software can be used to set extreme wind speed conditions, simulate the dynamic response of the blade under these conditions, and then calculate the maximum root torque. Alternatively, relevant industry standards and specifications can be consulted, which provide guidance for calculating the maximum root torque.

[0077] Step S510: Determine the maximum torque change rate based on the maximum root torque and the preset maximum torque that the pitch system can withstand.

[0078] Specifically, the maximum torque change rate is an important indicator for measuring the balance between blade root torque variation and the pitch system's load-bearing capacity. It reflects whether the magnitude of blade root torque variation after blade design adjustments is within the pitch system's load-bearing range, and is key to ensuring the feasibility of optimized blade design.

[0079] For example, first, the maximum torque the pitch system can withstand is determined, which is typically based on the system's design specifications and data provided by the manufacturer. Then, the ratio of the maximum root torque to the maximum torque the pitch system can withstand is calculated, i.e., the maximum torque variation rate. If the maximum root torque exceeds the maximum torque the pitch system can withstand, the blade design parameters or the pitch system specifications need to be reassessed to ensure compatibility between the two.

[0080] Step S520: Determine the first sweep amount based on the maximum torque change rate and the first correspondence.

[0081] Specifically, the first sweep amount is calculated from the first correspondence based on the blade root torque variation rate and the pitch system's tolerance constraints. It aims to find a blade tip sweep amount that can significantly reduce the dynamic load on the blade without exceeding the pitch system's tolerance limits.

[0082] For example, the maximum torque change rate is used as a constraint and substituted into the first correspondence model between the sweep amount and the torque change rate. The first sweep amount that satisfies the condition is determined by solving or numerical simulation.

[0083] Step S530: Determine the target sweep amount based on the first sweep amount and the constraint conditions.

[0084] Specifically, the target sweep is the optimal tip sweep determined after comprehensively considering constraints such as the maximum torque change rate, tip torsional deformation angle, and blade aeroelastic stability. It aims to achieve a balance between maximizing blade performance and minimizing system cost.

[0085] In this embodiment, defining the maximum root torque ensures that the blade design considers safety under extreme conditions, avoiding structural damage or failure caused by excessive torque at the blade root. This step provides necessary design constraints for subsequent torque change rate analysis and sweep optimization, contributing to the comprehensiveness and robustness of wind turbine blade design. By determining the maximum torque change rate, the impact of blade optimization design on the pitch system can be quantitatively evaluated, avoiding excessive load on the pitch system due to improper design, thereby ensuring the safe operation and long-term performance of the entire wind power generation system. Determining the first sweep provides an optimization objective: to minimize the dynamic load on the blade while ensuring the safety of the pitch system. This helps balance blade performance and system cost, providing more precise guidance for wind turbine blade design. The target sweep not only considers the load reduction effect and the pitch system's capacity constraints but also takes into account the blade's aeroelastic stability and other design requirements. This helps find the optimal solution in multi-objective optimization, improving the design level of wind turbine blades and ensuring the efficient, reliable, and economical operation of the wind power generation system.

[0086] In one embodiment, such as Figure 6 As shown, step S530 determines the target sweep amount based on the first sweep amount and the constraints. This includes steps S600-S620:

[0087] Step S600: Determine the maximum torsional deformation angle of the blade tip based on the blade's design parameters.

[0088] Specifically, the maximum tip torsional deformation angle refers to the maximum deformation angle that the blade tip can withstand under wind force, given the limitations of the blade's design parameters. This angle is directly related to the aeroelastic stability of the blade. Determining the maximum tip torsional deformation angle is a crucial step in ensuring the safe operation of the blade under different wind speeds and directions.

[0089] For example, the maximum torsional deformation angle at the blade tip can be calculated using aeroelastic stability analysis software specifically designed for wind power generation (such as FAST and Bladed). The blade's design parameters are input into the software to simulate the dynamic response of the blade under extreme wind speed conditions. A reasonable maximum torsional deformation angle threshold can also be set by referring to the characteristics of the blade material and structure, as well as relevant industry standards and specifications. Furthermore, actual wind tunnel experiments can provide reference data, allowing for observation of blade deformation under different operating conditions to determine the limiting angle for safe operation. For instance, considering the aeroelastic stability of the blade, the blade tip torsional deformation angle should generally be ≤3°.

[0090] Step S610: Determine the second sweep amount based on the maximum torsional deformation angle and the second correspondence.

[0091] Specifically, the second sweep amount refers to the blade tip sweep amount that can achieve the blade load reduction effect, determined through the second correspondence model, under the constraint that the blade tip torsional deformation angle does not exceed the maximum allowable value. This step aims to find a sweep amount design that can achieve the load reduction target without compromising blade stability.

[0092] For example, the constraint of the maximum torsional deformation angle at the blade tip should be substituted into the second correspondence model between the sweep amount and the blade tip torsional deformation angle constructed in step 4. By solving or optimizing the calculation, a blade tip sweep amount that satisfies the maximum torsional deformation angle constraint is found. This process may involve numerical methods, such as binary search or Newton's iteration method, to accurately find the second sweep amount that satisfies the condition.

[0093] Step S620: Determine the target sweep amount based on the first sweep amount and the second sweep amount.

[0094] Specifically, the target sweep is the optimal tip sweep determined after comprehensively considering the pitch system's tolerance and the blade's aeroelastic stability requirements. It balances the needs of blade performance optimization and cost control, and is a key parameter in the blade design process.

[0095] For example, the first sweep angle (determined based on the maximum torque the pitch system can withstand) and the second sweep angle (determined based on the maximum torsional deformation angle at the blade tip) should be compared and analyzed. If the calculated results of the two sweep angles are inconsistent, the smaller value should be taken as the target sweep angle to ensure that the blade design meets both structural and aerodynamic safety requirements. When determining the target sweep angle, actual manufacturing costs, material properties, and the overall design goals of the wind power generation system should also be considered to achieve both economic efficiency and practicality in the design.

[0096] In this embodiment, defining the maximum tip torsional deformation angle helps avoid aerodynamic instability or structural damage caused by excessive blade deformation during the design process, thereby ensuring the safety and reliability of the blade under various operating conditions. Determining the second sweep amount helps quantify the impact of the sweep amount on the blade's dynamic load while meeting the requirements for blade structural stability and aeroelastic stability. This step ensures that the blade design not only focuses on load reduction but also fully considers the necessary conditions for safe operation, improving the systematicness and safety of the design. Determining the target sweep amount provides the final design guidance for the blade design, ensuring that the blade achieves load reduction without exceeding the safe tolerance range of the pitch system or causing aerodynamic instability. This step helps find the optimal balance point in multi-objective optimization, improving the overall performance of wind turbine blades while controlling design and manufacturing costs, which is of great significance for improving the economic efficiency and market competitiveness of wind power systems.

[0097] In one embodiment, such as Figure 7As shown, the method further includes steps S700-S720:

[0098] Step S700: Based on the determined target sweep amount, design the sweep amount of the blade tip to obtain the blade model.

[0099] Specifically, designing the blade tip sweep structure based on the target sweep amount determined by the optimization process is a key step in translating theoretical calculations into concrete designs. This design should ensure the overall aerodynamic performance and structural stability of the blade while meeting the operational requirements of the wind power generation system.

[0100] For example, blade design software can be used to import the target sweep parameters and adjust the blade geometry, especially the sweep angle of the tip region. During the design process, the blade's geometric characteristics, material properties, and overall layout should be comprehensively considered to ensure that the designed blade model meets the load reduction requirements without affecting other performance indicators of the blade, such as aerodynamic efficiency and noise level.

[0101] Step S710: Simulate the working conditions of the blade model to determine the load conditions of the blade model.

[0102] Specifically, by analyzing the operation of the blade model in a wind power generation system through numerical simulation, the dynamic load and structural response of the designed blade model under actual operating conditions can be evaluated and verified. This is a necessary step to ensure that the performance of the designed blade meets expectations.

[0103] For example, wind power simulation software or structural dynamics analysis software (such as ANSYS or Abaqus) can be used to input the parameters of the designed blade model, set typical or extreme wind speed conditions, and perform aerodynamic and structural dynamic simulation analysis of the blade model. During the simulation, it is necessary to record the dynamic load data of the blade under different operating conditions, including key parameters such as blade root torque, blade bending stress, and blade tip torsion angle.

[0104] Step S720: Adjust the sweep of the blade model according to the load conditions.

[0105] Specifically, based on the load conditions obtained from simulation analysis, the blade model needs further optimization to ensure that the designed blades meet performance requirements under all operating conditions. This step embodies the iterative optimization process of design and analysis.

[0106] For example, simulation results should be carefully analyzed, especially the discrepancies between dynamic load data and design objectives. If the blade root torque or tip torsion angle exceeds a preset safety threshold, or if the load reduction effect does not meet expectations, the sweep angle of the blade model should be adjusted, and the simulation analysis should be repeated until the model's load conditions match the design objectives. This process may require the use of optimization algorithms (such as gradient descent or genetic algorithms) to find the optimal sweep angle that meets all performance and safety requirements.

[0107] In this embodiment, the designed blade model possesses an optimized tip sweep, which not only effectively reduces the dynamic load on the blade but also ensures the safe operation and high efficiency of the blade in the wind power generation system. This step transforms theoretical calculations into practical design, providing a concrete model for subsequent simulation analysis and actual manufacturing. Through simulation analysis, the performance of the designed blade model can be comprehensively evaluated, ensuring its stable operation under rated and extreme conditions without causing structural damage or excessive dynamic loads. Feedback from simulation data helps to adjust and optimize the blade model, improving the accuracy and reliability of the design. Through continuous iterative optimization, the sweep of the blade model can be gradually adjusted to ensure that it achieves the expected load reduction effect in actual operation in the wind power generation system, while maintaining structural stability and aerodynamic performance. This step improves the overall performance of the designed blade and is a key step in achieving the blade design optimization goal. In practical applications, the design of the sweep of wind turbine blades is a complex process that requires comprehensive consideration of the wind turbine's operating efficiency, the blade's structural strength, and the load conditions under various wind speeds. The method and apparatus provided in this application can effectively evaluate the impact of sweep on blade performance through systematic testing and analysis, ensuring that the blade design meets both structural safety and load requirements, while also taking into account the operating efficiency of the wind turbine.

[0108] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0109] This embodiment also provides a blade sweep amount determination device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0110] Figure 8 This is a structural block diagram of an optional blade sweep determination device according to an embodiment of this application. Figure 8 As shown, it includes:

[0111] The data determination module 801 is used to adjust the sweep amount of the blade tip of the blade to be determined under a preset wind speed and determine the state parameters of the blade corresponding to each sweep amount, thereby obtaining multiple sets of test data. Each set of test data includes a sweep amount value and the corresponding blade state parameters.

[0112] The correspondence establishment module 802 is used to establish the correspondence between the sweep amount of the blade and the state parameters based on multiple sets of test data.

[0113] The sweep amount determination module 803 is used to determine the target sweep amount that meets the constraints based on the blade's design parameters and corresponding relationships. The constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that meets the constraints.

[0114] Using the aforementioned device, blade state parameters under different sweep conditions are acquired as test data, providing an empirical basis for subsequent analysis and modeling. This data not only reflects the blade's aerodynamic performance but also reveals the impact of sweep on blade structure and dynamic response, providing crucial information for finding the optimal sweep. By establishing the correspondence between the blade's sweep and state parameters, the impact of different sweep amounts on blade performance can be predicted, significantly improving design efficiency and accuracy. It also helps determine the critical point between sweep and blade state, providing a basis for determining the optimal sweep. Through the correspondence and design parameters, the target sweep is determined, and constraints are set to ensure that, while meeting safety and design requirements, the largest possible sweep is found as the target sweep, thereby minimizing blade load and improving the overall performance and economy of the wind turbine.

[0115] In an exemplary embodiment, the data determination module 801 is further configured to determine the rated wind speed condition corresponding to the blade based on the blade's design parameters and operating environment. Under the rated wind speed condition, the blade tip sweep is adjusted. The root torque and tip torsional deformation angle of the blade are determined for each sweep. Each set of sweep and the corresponding root torque and tip torsional deformation angle are associated and recorded to obtain multiple sets of test data.

[0116] In an exemplary embodiment, the aforementioned correspondence establishment module 802 is further configured to determine the rated root torque of the blade under rated wind speed conditions based on the blade's design parameters. Based on the root torque and rated root torque of the blade at each sweep amount, the torque change rate of the blade at each sweep amount is determined. A first correspondence between sweep amount and blade torque change rate is constructed based on multiple sets of sweep amounts and corresponding blade torque change rates. A second correspondence between sweep amount and blade tip torsional deformation angle is constructed based on multiple sets of sweep amounts and corresponding blade tip torsional deformation angles.

[0117] In an exemplary embodiment, the sweep amount determination module 803 is further configured to determine the maximum root torque of the blade based on the blade's design parameters; determine the maximum torque change rate based on the maximum root torque and a preset maximum torque that the pitch system can withstand; determine a first sweep amount based on the maximum torque change rate and a first correspondence; and determine a target sweep amount based on the first sweep amount and constraints.

[0118] In an exemplary embodiment, the sweep amount determination module 803 is further configured to determine the maximum torsional deformation angle at the blade tip based on the blade's design parameters; determine a second sweep amount based on the maximum torsional deformation angle and a second correspondence; and determine a target sweep amount based on the first and second sweep amounts.

[0119] In one exemplary embodiment, the above-described apparatus further includes:

[0120] The model determination module is used to design the blade tip sweep amount based on the determined target sweep amount, and obtain the blade model.

[0121] The load determination module is used to simulate the working conditions of the blade model in order to determine the load conditions of the blade model.

[0122] The correction module is used to correct the sweepback of the blade model based on the load conditions.

[0123] Embodiments of this application also provide a storage medium including a stored program, wherein the program executes any of the methods described above when it is run.

[0124] Optionally, in this embodiment, the storage medium may be configured to store program code for performing the following steps:

[0125] S1. Under a preset wind speed, adjust the sweep amount of the blade tip of the blade whose sweep amount is to be determined and determine the state parameters of the blade corresponding to each sweep amount to obtain multiple sets of test data. Each set of test data includes a sweep amount value and the corresponding blade state parameters.

[0126] S2. Based on multiple sets of test data, establish the correspondence between the blade sweep and state parameters.

[0127] S3. Based on the design parameters and corresponding relationships of the blade, determine the target sweep amount that satisfies the constraints. The constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that satisfies the constraints.

[0128] Embodiments of this application also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0129] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0130] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0131] S1. Under a preset wind speed, adjust the sweep amount of the blade tip of the blade whose sweep amount is to be determined and determine the state parameters of the blade corresponding to each sweep amount to obtain multiple sets of test data. Each set of test data includes a sweep amount value and the corresponding blade state parameters.

[0132] S2. Based on multiple sets of test data, establish the correspondence between the blade sweep and state parameters.

[0133] S3. Based on the design parameters and corresponding relationships of the blade, determine the target sweep amount that satisfies the constraints. The constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that satisfies the constraints.

[0134] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0135] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium storing the computer program product, wherein the computer program, when executed by a processor, implements the steps of the methods in various embodiments of this application.

[0136] Optionally, in this embodiment, the computer program described above can be configured to perform the following steps when executed by a processor:

[0137] S1. Under a preset wind speed, adjust the sweep amount of the blade tip of the blade whose sweep amount is to be determined and determine the state parameters of the blade corresponding to each sweep amount to obtain multiple sets of test data. Each set of test data includes a sweep amount value and the corresponding blade state parameters.

[0138] S2. Based on multiple sets of test data, establish the correspondence between the blade sweep and state parameters.

[0139] S3. Based on the design parameters and corresponding relationships of the blade, determine the target sweep amount that satisfies the constraints. The constraints are related to the design parameters, and the target sweep amount is the maximum sweep amount that satisfies the constraints.

[0140] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0141] Obviously, those skilled in the art should understand that the modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0142] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this application should be included within the protection scope of this application.

Claims

1. A method of determining the amount of sweepback of a blade, characterized by, The method comprises: determining a rated wind speed working condition corresponding to the blade according to design parameters and a working environment of the blade; adjusting a trailing edge amount of a blade tip of the blade under the rated wind speed working condition; determining a root torsion and a blade tip torsion deformation angle of the blade under each trailing edge amount; associating and recording each group of trailing edge amounts and the corresponding root torsion and blade tip torsion deformation angle of the blade to obtain a plurality of groups of test data, wherein each group of test data comprises a value of a trailing edge amount and a state parameter of a blade corresponding to the trailing edge amount; determining a rated root torsion of the blade under the rated wind speed working condition according to the design parameters of the blade; determining a torsion change rate of the blade under each trailing edge amount according to the root torsion of the blade under each trailing edge amount and the rated root torsion; constructing a first corresponding relationship between the trailing edge amount and the torsion change rate of the blade according to a plurality of groups of trailing edge amounts and the corresponding torsion change rate of the blade; constructing a second corresponding relationship between the trailing edge amount and the blade tip torsion deformation angle according to a plurality of groups of trailing edge amounts and the corresponding blade tip torsion deformation angle of the blade; determining a target trailing edge amount satisfying a constraint condition according to the design parameters of the blade and the corresponding relationships, wherein the constraint condition is related to the design parameters, and the target trailing edge amount is a maximum trailing edge amount satisfying the constraint condition.

2. The method of determining the amount of sweepback of a blade according to claim 1, wherein, The determining of the target trailing edge amount satisfying the constraint condition according to the design parameters of the blade and the corresponding relationships comprises: determining a maximum root torsion of the blade according to the design parameters of the blade; determining a maximum torsion change rate according to the maximum root torsion and a maximum bearing torsion of a preset variable pitch system; determining a first trailing edge amount according to the maximum torsion change rate and the first corresponding relationship; determining a target trailing edge amount according to the first trailing edge amount and the constraint condition.

3. The method of determining the amount of sweepback of a blade according to claim 2, wherein, The determining of the target trailing edge amount according to the first trailing edge amount and the constraint condition comprises: determining a maximum blade tip torsion deformation angle of the blade according to the design parameters of the blade; determining a second trailing edge amount according to the maximum blade tip torsion deformation angle and the second corresponding relationship; determining the target trailing edge amount according to the first trailing edge amount and the second trailing edge amount.

4. A method of determining the amount of sweepback of a blade according to any one of claims 1 to 3, characterised in that, The method further comprises: designing a trailing edge amount of a blade tip of the blade according to the determined target trailing edge amount to obtain a blade model; simulating a working condition of the blade model to determine a load condition of the blade model; correcting the trailing edge amount of the blade model according to the load condition.

5. An apparatus for determining the amount of sweepback of a blade, characterized by The device comprises: a data determining module configured to determine a rated wind speed working condition corresponding to the blade according to design parameters and a working environment of the blade, adjust a trailing edge amount of a blade tip of the blade under the rated wind speed working condition, determine a root torsion and a blade tip torsion deformation angle of the blade under each trailing edge amount, and associate and record each group of trailing edge amounts and the corresponding root torsion and blade tip torsion deformation angle of the blade to obtain a plurality of groups of test data, wherein each group of test data comprises a value of a trailing edge amount and a state parameter of a blade corresponding to the trailing edge amount. The correspondence establishing module is configured to determine a rated root torque of the blade under the rated wind speed condition according to a design parameter of the blade; determine a torque change rate of the blade under each amount of aft-sweeping according to the root torque of the blade under each amount of aft-sweeping and the rated root torque; and construct a first correspondence between the amount of aft-sweeping and the torque change rate of the blade according to a plurality of groups of the amount of aft-sweeping and the corresponding torque change rate of the blade. The aft-sweeping amount determining module is configured to determine a target amount of aft-sweeping satisfying a constraint condition according to the design parameter of the blade and the correspondence, wherein the constraint condition is related to the design parameter, and the target amount of aft-sweeping is a maximum amount of aft-sweeping satisfying the constraint condition.

6. A computer readable storage medium, characterized in that, The computer readable storage medium comprises a stored program, wherein the program performs the method of any one of claims 1 to 4 when executed. 7.An electronic device comprising a memory and a processor, the electronic device characterized by, The memory stores a computer program, and the processor is configured to execute the method of any one of claims 1 to 4 by using the computer program.

8. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the method of any one of claims 1 to 4.

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