Method and device for determining sweepback amount of blade, storage medium and electronic device

Abstract

The invention discloses a method and device for determining the sweepback amount of a blade, a storage medium, an electronic device and a computer program product, and the method comprises the steps: adjusting the sweepback amount of a blade tip of a blade of which the sweepback amount is to be determined under a preset wind speed condition, determining a state parameter of the blade corresponding to each sweepback amount, and obtaining a plurality of groups of test data, each group of test data comprises a sweepback value and a state parameter of a corresponding blade; according to the multiple groups of test data, establishing a corresponding relation between the sweepback amount of the blade and the state parameters; according to the design parameters of the blade and the corresponding relation, the target sweepback amount meeting the constraint condition is determined, the constraint condition is related to the design parameters, and the target sweepback amount is the maximum sweepback amount meeting the constraint condition. On the premise that safety and design requirements are met, the sweepback amount as large as possible is found to serve as the target sweepback amount, so that the load of the blade is reduced to the maximum extent, and the overall performance and economical efficiency of the wind driven generator are improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method and device for determining the sweep amount of a blade, a storage medium, an electronic device, and a computer program product. Background Art

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

[0003] In the related art, the sweep amount of the blade is mostly determined by historical experience.

[0004] However, the determination of the blade sweep amount needs to consider the blade design parameters and the working environment. If the blade sweep amount is too large, the blade aerodynamic stability will deteriorate, the blade will be prone to flutter, and the blade service life will be affected. If the blade sweep amount is too small, the blade will generate vortices, which will reduce the aerodynamic performance of the blade and affect the efficiency of the fan. Therefore, how to determine the blade sweep amount to achieve the optimal balance between the aerodynamic performance and aerodynamic stability of the blade is a problem that needs to be solved at present. Summary of the invention

[0005] Embodiments of the present application provide a method and device 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 an embodiment of the present application, a method for determining the sweep amount of a blade is provided, comprising: under a preset wind speed condition, adjusting the sweep amount of the tip of the blade whose sweep amount is to be determined and determining the state parameters of the blade corresponding to each sweep amount, to obtain multiple sets of test data, wherein each set of test data includes a value of the sweep amount and the corresponding state parameter of the blade; establishing a correspondence between the sweep amount of the blade and the state parameter based on the multiple sets of test data; determining a target sweep amount that meets the constraint conditions based on the design parameters of the blade and the correspondence, wherein the constraint conditions are related to the design parameters, and the target sweep amount is the maximum sweep amount that meets the constraint conditions.

[0007] In an exemplary embodiment, under rated wind speed conditions, the sweep amount of the blade tip is adjusted; the root torque and tip torsional deformation angle of the blade at each sweep amount are determined; each set of sweep amounts 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 design parameters of the blade; the torque change rate of the blade at each sweep amount is determined based on the root torque and rated root torque of the blade at each sweep amount; a first corresponding relationship between the sweep amount and the torque change rate of the blade is constructed based on multiple sets of sweep amounts and the corresponding blade tip torsional deformation angles; a second corresponding relationship between the sweep amount and the blade tip torsional deformation angle is constructed based on multiple sets of sweep amounts and the corresponding blade tip torsional deformation angles.

[0009] In an exemplary embodiment, the maximum root torque of the blade is determined based on the design parameters of the blade; the maximum torque change rate is determined based on the maximum root torque and the maximum withstand torque of the preset pitch system; the first sweep amount is determined based on the maximum torque change rate and the first corresponding relationship; and the target sweep amount is determined based on the first sweep amount and the constraints.

[0010] In an exemplary embodiment, the maximum torsional deformation angle of the blade tip is determined according to the design parameters of the blade; the second sweep amount is determined according to the maximum torsional deformation angle and the second corresponding relationship; and the target sweep amount is determined according to the first sweep amount and the second sweep amount.

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

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

[0013] According to another aspect of an embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining the sweep amount of the blade when running.

[0014] According to another aspect of an embodiment of the present 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 method for determining the sweep amount of the blade through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0016] The above-mentioned method for determining the sweep amount of the blade can provide an empirical basis for subsequent analysis and modeling by obtaining the state parameters of the blade under different sweep conditions as test data. These data not only reflect the aerodynamic performance of the blade, but also reveal the influence of the sweep amount on the blade structure and dynamic response, and provide key information for finding the optimal sweep amount. By establishing the corresponding relationship between the sweep amount and the state parameters of the blade, the influence of different sweep amounts on the blade performance can be predicted, which greatly improves the design efficiency and accuracy, and can also help determine the critical point between the sweep amount and the blade state, providing a basis for determining the optimal sweep amount. Through the corresponding relationship and design parameters, the target sweep amount is determined, and the constraint conditions are set to ensure that the largest possible sweep amount is found as the target sweep amount under the premise of meeting safety and design requirements, thereby minimizing the load on the blade and improving the overall performance and economy of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 is a hardware structure block diagram of a method for determining the sweep amount of a blade in an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining the sweep amount of a blade according to an embodiment of the present application;

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

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

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

[0024] Figure 6 is a fifth flow chart of a method for determining the sweep amount of a blade according to an embodiment of the present application;

[0025] Figure 7 is a sixth flow chart of a method for determining the sweep amount of a blade according to an embodiment of the present application;

[0026] Figure 8 It is a structural block diagram of a device for determining the sweep amount of a blade according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0029] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal for determining the sweep amount of a blade according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a microprocessor (Microprocessor Unit, MPU for short) or a programmable logic device (PLD for short)) and a memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

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

[0031] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0032] In this embodiment, a method for determining the sweep amount of a blade is provided. Figure 2 : is a flow chart of an optional method for determining the sweep amount of a blade according to an embodiment of the present application, the process comprising the following steps S200-S220:

[0033] Step S200, under a preset wind speed condition, adjusting the tip sweep amount of the blade whose sweep amount is to be determined and determining the state parameters of the blade corresponding to each sweep amount, to obtain multiple groups of test data.

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

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

[0036] For example, it can be realized by using wind tunnel experiments or numerical simulation software of blade dynamic loads (such as ANSYS, Abaqus or dedicated wind power simulation software). During the experiment or simulation, it is necessary to accurately control the tip sweep of the blade, which can be achieved by using a blade model with an adjustable sweep angle or by adjusting software parameters. The recorded blade state parameters should include but are not limited to blade root torque, blade tip torsional deformation angle, blade vibration frequency and wind efficiency, etc., to comprehensively evaluate the impact of the sweep amount on blade performance.

[0037] Step S210: establishing a corresponding relationship between the sweep amount and the state parameters of the blade according to multiple groups of test data.

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

[0039] Exemplarily, statistical methods, such as linear regression, polynomial regression or nonlinear regression, can be used to fit the relationship between the swept amount and the state parameters. First, the data is preprocessed, such as removing outliers and performing data standardization, to ensure the accuracy of the model. Then, the relationship between the swept amount and the state parameters is analyzed using the mathematical method of linear fitting, and the fitting equation is output. In addition, data visualization tools, such as scatter plots or curve graphs, can be used to intuitively display the changing trend between the swept amount and the state parameters.

[0040] Step S220, determining a target sweep amount that satisfies the constraint conditions according to the design parameters and the corresponding relationship of the blade.

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

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

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

[0044] It should be noted that the amount of sweep refers to the degree of deflection or inclination of the wind turbine blade along its axial direction (from the wing root to the wing tip or the blade root to the tip). The swept design is usually intended to improve aerodynamic performance. In the design of wind turbine blades, the introduction of the swept amount is mainly to reduce the load on the blades during operation, especially to reduce the dynamic load caused by uneven wind speed distribution and turbulence. By deflecting the tip of the blade backward, the direction and magnitude of the force acting on the blade by the wind can be changed, thereby achieving "self-stabilization" of the blade to a certain extent, reducing the mechanical stress on the pitch system and the root of the blade, and ultimately reducing the overall cost of the wind turbine and improving operational reliability.

[0045] In this embodiment, by obtaining the state parameters of the blade under different sweep conditions as test data, an empirical basis can be provided for subsequent analysis and modeling. These data not only reflect the aerodynamic performance of the blade, but also reveal the influence of the sweep amount on the blade structure and dynamic response, providing key information for finding the optimal sweep amount. By establishing the corresponding relationship between the sweep amount and the state parameters of the blade, the influence of different sweep amounts on the blade performance can be predicted, which greatly improves the design efficiency and accuracy, and can also help determine the critical point between the sweep amount and the blade state, providing a basis for determining the optimal sweep amount. Through the corresponding relationship and design parameters, the target sweep amount is determined, and the constraint conditions are set to ensure that the largest possible sweep amount is found as the target sweep amount under the premise of meeting safety and design requirements, thereby minimizing the load on the blade and improving the overall performance and economy of the wind turbine.

[0046] In one embodiment, Figure 3 As shown, step S200, under a preset wind speed condition, adjusts the tip sweep of the blade whose sweep amount is to be determined and determines the state parameters of the blade corresponding to each sweep amount, to obtain multiple groups of test data. It includes: steps S300-S330:

[0047] Step S300, determining the rated wind speed condition corresponding to the blade according to the design parameters and working environment of the blade.

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

[0049] For example, the rated wind speed condition is usually determined based on the overall design parameters of the wind turbine, including rated power, rotation speed, blade length, blade material, etc., as well as specific environmental conditions of the wind farm, such as average wind speed, turbulence intensity, and wind direction changes. The output power of the blade under different wind speed conditions can be obtained by theoretical calculation of wind power generation or by using wind power generation simulation software, inputting blade design parameters and environmental parameters, and performing simulation analysis. By analyzing the power curve, the wind speed at which the blade output power is equal to the rated power can be found, that is, the rated wind speed condition.

[0050] Step S310: adjusting the sweep amount of the blade tip under rated wind speed conditions.

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

[0052] For example, a wind tunnel experiment can be conducted using a blade model with an adjustable sweep angle, or the blade geometric parameters can be modified in the numerical simulation software to simulate the behavior of blades designed with different sweep amounts under rated wind speed conditions. In the experiment or simulation, the sweep amount should cover a reasonable range, from 0 degrees (no sweep) to the maximum possible sweep angle, to fully evaluate the impact of the sweep amount on blade performance.

[0053] Step S320, determining the root torque and tip torsional deformation angle of the blade at each sweep amount.

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

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

[0056] Step S330 , recording each set of sweep amounts and the corresponding root torque and tip torsional deformation angle of the blade, to obtain multiple sets of test data.

[0057] Exemplarily, a data recording and management tool (such as a spreadsheet, database, etc.) is used to record each sweep amount with the corresponding root torque and tip torsional deformation angle to ensure the accuracy and traceability of the data. The data record should include enough 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 working condition, the tip sweep of the blade is adjusted, which can simulate the real working condition and is more accurate. By adjusting the tip sweep and recording the performance parameters, a series of test data can be obtained, which will be used to establish the relationship between the sweep and the blade performance parameters in the future. This step is to ensure that the subsequent optimization analysis is based on the actual blade performance changes, which helps to find the optimal sweep that can reduce the blade load and maintain structural stability. The collected root torque and tip torsional deformation angle data not only reveal the direct effect of the sweep on the dynamic load of the blade, but also help to evaluate the comprehensive effect of different sweep designs on the structural stability and aerodynamic efficiency of the blade. The recording of these data provides key information for the subsequent establishment of an accurate mathematical model between the sweep and the blade performance parameters, which is an indispensable step in the optimization design process. The sorted test data set contains rich relationship information between the sweep and the blade performance parameters, which is the basis for subsequent model establishment and analysis optimization. The accuracy and completeness of these data directly affect the reliability and effectiveness of subsequent analysis, help to more deeply understand the influence of the sweep on the blade performance, and provide a scientific basis for determining the optimal sweep. By associating and recording the data, the impact trend of different sweep amounts on the dynamic load and structural stability of the blade can be clearly identified, providing strong support for subsequent model establishment and parameter optimization.

[0059] In one embodiment, Figure 4 As shown, step S210, based on multiple groups of test data, establish the corresponding relationship between the sweep amount of the blade and the state parameter. It includes: steps S400-S430:

[0060] Step S400: determining the rated root torque of the blade under rated wind speed conditions according to the design parameters of the blade.

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

[0062] For example, the rated root torque can be obtained by a theoretical calculation method, using the rated power, rotation speed, blade length, wind speed and other design parameters of the wind turbine, combined with the blade angle distribution and wind force distribution, to calculate the theoretical torque of the blade root under the rated wind speed condition. In addition, the torque value of the blade root can also be obtained by inputting the design parameters and the rated wind speed condition in the wind power generation simulation software for simulation analysis. You should choose the method that best suits your design conditions and accuracy requirements.

[0063] Step S410, determining the torque change rate of the blade at each sweep amount according to the root torque of the blade at each sweep amount and the rated root torque.

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

[0065] For example, first, the root torque of the blade at each sweep amount is extracted from the test data. Then, based on the ratio of the root torque of the blade to the rated root torque, the torque change rate at 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 errors.

[0066] Step S420, constructing a first corresponding relationship between the sweep amount and the torque change rate of the blade according to the multiple groups of sweep amounts and the corresponding torque change rates of the blades.

[0067] Specifically, constructing the first corresponding relationship is a process of converting the data between the sweep amount and the torque change rate into a mathematical model, which is helpful for subsequent analysis and parameter optimization.

[0068] Specific implementation method: Statistical methods such as linear regression, polynomial 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 methods should be based on the distribution characteristics of the data to ensure the accuracy and applicability of the model. The use of data analysis and visualization tools can simplify this process and improve analysis efficiency.

[0069] Step S430: constructing a second corresponding relationship between the sweep amount and the tip torsion deformation angle of the blade according to the multiple sets of sweep amounts and the corresponding blade tip torsion deformation angles.

[0070] Specifically, the tip torsional deformation angle reflects the degree of distortion of the blade under wind force and is an important parameter for evaluating the aeroelastic stability of the blade. The second corresponding relationship is constructed to analyze the relationship between the sweep amount and the stability of the blade structure, ensuring that the aeroelastic stability of the blade is not impaired while pursuing the load reduction effect.

[0071] Exemplarily, similarly, a mathematical model between the sweep amount and the blade tip twist deformation angle may 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 quantify the impact of different sweep amounts on reducing the dynamic load of the blade. The calculation of the torque change rate provides a quantitative indicator of the impact of sweep adjustment on the blade load, which helps to evaluate the load reduction effect of different sweep designs and is an important part of the process of finding the optimal sweep design. The constructed first correspondence model can predict the torque change rate of the blade under a specific sweep amount, providing a method for quickly evaluating the effect of sweep adjustment without repeating experiments or simulations, thereby improving the efficiency and accuracy of design optimization.

[0073] In one embodiment, Figure 5 As shown, step S220, according to the design parameters and corresponding relationships of the blade, determines the target sweep amount that satisfies the constraint conditions. It includes: steps S500-S530:

[0074] Step S500: determining the maximum root torque of the blade according to the design parameters of the blade.

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

[0076] Exemplarily, the determination of the maximum root torque is usually based on the geometric dimensions, material properties and operating parameters of the blades, combined with statistical analysis of wind speed distribution and turbulence intensity. Wind power generation simulation software can be used to set extreme wind speed conditions, simulate the dynamic response of the blades under these conditions, and then calculate the maximum root torque. In addition, relevant industry standards and specifications can also be referred to, which provide guidance methods for calculating the maximum root torque.

[0077] Step S510: determining the maximum torque change rate according to the maximum root torque and the preset maximum tolerable torque of the pitch control system.

[0078] Specifically, the maximum torque change rate is an important indicator to measure the balance between the blade root torque change and the bearing capacity of the pitch system. It reflects whether the amplitude of the blade root torque change is within the bearing range of the pitch system after the blade design is adjusted, and is the key to ensuring the feasibility of blade optimization design.

[0079] For example, first, the maximum torque of the pitch system is determined, which is usually determined by the system design specifications and data provided by the manufacturer. Then, the ratio of the maximum root torque to the maximum torque of the pitch system, that is, the maximum torque change rate, is calculated. If the maximum root torque exceeds the maximum torque of the pitch system, the blade design parameters or the specifications of the pitch system need to be re-evaluated to ensure the matching of the two.

[0080] Step S520: determining a first sweep amount according to the maximum torque change rate and the first corresponding relationship.

[0081] Specifically, the first sweep amount is the sweep amount calculated from the first corresponding relationship based on the blade root torque change rate and the bearing capacity constraint of the pitch system. It aims to find a blade tip sweep amount that can significantly reduce the dynamic load of the blade without exceeding the bearing limit of the pitch system.

[0082] Exemplarily, the maximum torque change rate is taken as a constraint condition and substituted into the constructed first correspondence relationship model between the sweep amount and the torque change rate, and the first sweep amount that meets the condition is determined by solving or numerical simulation.

[0083] Step S530, determining a target sweep amount according to the first sweep amount and the constraint condition.

[0084] Specifically, the target sweep is the optimal tip sweep determined after comprehensively considering 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, clarifying the maximum root torque can ensure that the blade design takes into account the safety under extreme conditions and avoid structural damage or failure caused by excessive torque at the root of the blade. This step provides the necessary design constraints for the subsequent torque change rate analysis and sweep optimization, which is helpful for the comprehensiveness and robustness of the 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 to avoid 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. The determination of the first sweep provides an optimization goal, that is, to minimize the dynamic load of the blade while ensuring the safety of the pitch system. This helps to balance blade performance and system cost, and provides more precise guidance for the design of wind power blades. The target sweep not only takes into account the load reduction effect and the constraints of the pitch system's bearing capacity, but also takes into account the aeroelastic stability of the blade and other design requirements. This helps to find the best solution in multi-objective optimization, improve the design level of wind turbine blades, and ensure the efficient, reliable and economical operation of wind power generation systems.

[0086] In one embodiment, Figure 6 As shown, step S530, according to the first sweep amount and the constraint condition, determines the target sweep amount. It includes: steps S600-S620:

[0087] Step S600: determining the maximum torsional deformation angle of the blade tip according to the design parameters of the blade.

[0088] Specifically, the maximum torsional deformation angle of the blade tip refers to the maximum deformation angle that the blade tip can withstand under the action of wind force within the limits of the blade design parameters. This angle is directly related to the aeroelastic stability of the blade. Determining the maximum torsional deformation angle of the blade tip is an important step in ensuring that the blade can operate safely under different wind speeds and directions.

[0089] Exemplarily, the calculation of the maximum torsional deformation angle of the blade tip can be performed using aeroelastic stability analysis software dedicated to wind power generation (such as FAST, Bladed). The design parameters of the blade are input into the software to simulate the dynamic response of the blade under extreme wind speed conditions. You can also refer to the characteristics of the blade material and structure, as well as relevant industry standards and specifications, to set a reasonable maximum torsional deformation angle threshold. In addition, actual wind tunnel experiments can also provide reference data. By experimentally observing the deformation of the blade under different working conditions, the limit angle for safe operation can be determined. For example, considering the aeroelastic stability of the blade, the tip torsional deformation angle should generally be ≤3°.

[0090] Step S610: determining a second sweep amount according to the maximum torsional deformation angle and the second corresponding relationship.

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

[0092] Exemplarily, the constraint condition of the maximum torsional deformation angle of the blade tip should be substituted into the second corresponding relationship model between the sweep amount and the blade tip torsional deformation angle constructed by 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 method or Newton iteration method, to accurately find the second sweep amount that meets the condition.

[0093] Step S620: determining a target sweep amount according to the first sweep amount and the second sweep amount.

[0094] Specifically, the target sweep is the optimal tip sweep determined after comprehensively considering the bearing capacity of the variable pitch system and the requirements of the aeroelastic stability of the blade. 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 amount (determined based on the maximum torque of the pitch system) and the second sweep amount (determined based on the maximum torsional deformation angle of the blade tip) should be compared and analyzed. If the calculation results of the two sweep amounts are inconsistent, the smaller value of the two should be taken as the target sweep amount to ensure that the blade design meets the safety requirements of the structure and aerodynamic performance at the same time. When determining the target sweep amount, the actual manufacturing cost, material properties and the overall design goals of the wind power generation system must also be considered to achieve the economy and practicality of the design.

[0096] In this embodiment, clarifying the maximum torsional deformation angle of the blade tip helps to avoid aerodynamic instability or structural damage caused by excessive deformation of the blade during the design process, thereby ensuring the safety and reliability of the blade under various operating conditions. Determining the second sweep amount helps to quantify the impact of the sweep amount on the dynamic load of the blade while meeting the requirements of blade structural stability and aeroelastic stability. This step ensures that the blade design not only focuses on the load reduction effect, but also fully considers the necessary conditions for safe operation, thereby improving the systematicness and safety of the design. The determination of the target sweep amount provides the final design guidance for the blade design, which ensures that the blade will not exceed the safe tolerance range of the variable pitch system while achieving the load reduction effect, nor will it cause aerodynamic instability of the blade. This step helps to find the best balance point in multi-objective optimization, improve the comprehensive performance of wind turbine blades, and control the design and manufacturing costs at the same time, which is of great significance to improving the economy and market competitiveness of wind power generation systems.

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

[0098] Step S700, designing the sweep amount of the blade tip according to the determined target sweep amount, and obtaining a blade model.

[0099] Specifically, designing the swept structure of the blade tip according to the target swept amount determined by the optimization process is a key step in converting theoretical calculations into specific 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, the target sweep amount parameters can be imported into the blade design software to adjust the blade geometry, especially the sweep angle of the blade tip area. When designing, the geometric characteristics, material properties and overall layout of the blade should be considered comprehensively to ensure that the designed blade model will not affect other performance indicators of the blade, such as aerodynamic efficiency and noise level, while meeting the load reduction effect.

[0101] Step S710, simulating the working condition of the blade model to determine the load condition of the blade model.

[0102] Specifically, by numerically simulating the working conditions of the blade model in the wind power generation system, the dynamic load and structural response of the designed blade model under actual operating conditions can be evaluated and verified, which 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, 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 process, it is necessary to record the dynamic load data of the blade under different conditions, including key parameters such as blade root torque, blade bending stress, and blade tip torsion angle.

[0104] Step S720: correcting the sweep amount of the blade model according to the load condition.

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

[0106] For example, the simulation results should be carefully analyzed, especially the differences between the dynamic load data and the design goals. If it is found that the root torque or the tip twist angle exceeds the preset safety threshold, or the load reduction effect is not as expected, the sweep of the blade model should be adjusted and the simulation analysis should be repeated until the load conditions of the model match the design goals. This process may require the use of optimization algorithms (such as gradient descent, genetic algorithm) to find the optimal sweep that meets all performance and safety requirements.

[0107] In this embodiment, the designed blade model has an optimized tip sweep, which can not only effectively reduce the dynamic load of the blade, but also ensure the safe operation and high efficiency of the blade in the wind power generation system. This step converts the theoretical calculation into actual design, and provides a specific model for subsequent simulation analysis and actual manufacturing. Through simulation analysis, the performance of the designed blade model can be comprehensively evaluated to ensure that it can operate stably under rated and extreme conditions without causing structural damage or excessive dynamic load. The feedback of simulation data helps to adjust and optimize the blade model and improve 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 can achieve the expected load reduction effect in the actual operation of the wind power generation system while maintaining structural stability and aerodynamic performance. This step improves the comprehensive 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 operating efficiency of the wind turbine, the structural strength of the blades, and the load conditions under various wind speed conditions. The method and device provided in the present application can effectively evaluate the influence of the sweep amount on the blade performance through systematic testing and analysis, and ensure that the blade design not only meets the structural safety and load requirements, but also takes into account the operating efficiency of the wind turbine.

[0108] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0109] In this embodiment, a device for determining the swept amount of the blade is also provided, and the device for determining the swept amount of the blade is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0110] Figure 8 is a structural block diagram of an optional device for determining the sweep amount of a blade according to an embodiment of the present application. Figure 8 As shown, including:

[0111] The data determination module 801 is 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 condition and determine the state parameters of the blade corresponding to each sweep amount, so as to obtain multiple groups of test data, wherein each group of test data includes a value of the sweep amount and the corresponding state parameters of the blade.

[0112] The corresponding relationship establishing module 802 is used to establish the corresponding relationship between the sweep amount and the state parameter of the blade according to multiple groups of test data.

[0113] The sweep amount determination module 803 is used to determine a target sweep amount that satisfies the constraint conditions according to the design parameters and the corresponding relationship of the blade, 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.

[0114] Through the above device, the state parameters of the blades under different sweep conditions are obtained as test data, which can provide an empirical basis for subsequent analysis and modeling. These data not only reflect the aerodynamic performance of the blades, but also reveal the influence of the sweep on the blade structure and dynamic response, providing key information for finding the optimal sweep. By establishing the corresponding relationship between the sweep and state parameters of the blades, the influence of different sweep on the blade performance can be predicted, which greatly improves the design efficiency and accuracy, and can also help determine the critical point between the sweep and the blade state, providing a basis for determining the optimal sweep. Through the corresponding relationship and design parameters, the target sweep is determined, and constraints are set to ensure that the largest possible sweep is found as the target sweep under the premise of meeting safety and design requirements, thereby minimizing the load on the blades and improving the overall performance and economy of the wind turbine.

[0115] In an exemplary embodiment, the data determination module 801 is further used to determine the rated wind speed condition corresponding to the blade according to the design parameters and working environment of the blade. Under the rated wind speed condition, the sweep amount of the blade tip is adjusted. The root torque and the tip torsional deformation angle of the blade under each sweep amount are determined. Each set of sweep amount and the corresponding root torque and tip torsional deformation angle of the blade are recorded in association to obtain multiple sets of test data.

[0116] In an exemplary embodiment, the corresponding relationship establishing module 802 is also used to determine the rated root torque of the blade under the rated wind speed condition according to the design parameters of the blade. According to the root torque and the rated root torque of the blade under each sweep amount, the torque change rate of the blade under each sweep amount is determined. According to multiple sets of sweep amounts and the corresponding torque change rates of the blades, a first corresponding relationship between the sweep amounts and the torque change rates of the blades is constructed. According to multiple sets of sweep amounts and the corresponding tip torsional deformation angles of the blades, a second corresponding relationship between the sweep amounts and the tip torsional deformation angles of the blades is constructed.

[0117] In an exemplary embodiment, the sweep amount determination module 803 is further used to determine the maximum root torque of the blade according to the design parameters of the blade. According to the maximum root torque and the preset maximum bearing torque of the pitch system, the maximum torque change rate is determined. According to the maximum torque change rate and the first corresponding relationship, the first sweep amount is determined. According to the first sweep amount and the constraint condition, the target sweep amount is determined.

[0118] In an exemplary embodiment, the swept amount determination module 803 is further used to determine the maximum torsional deformation angle of the blade tip according to the design parameters of the blade, determine the second swept amount according to the maximum torsional deformation angle and the second corresponding relationship, and determine the target swept amount according to the first swept amount and the second swept amount.

[0119] In an exemplary embodiment, the above device further includes:

[0120] The model determination module is used to design the sweep amount of the blade tip according to the determined target sweep amount to obtain the blade model.

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

[0122] The correction module is used to correct the sweep amount of the blade model according to the load conditions.

[0123] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

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

[0125] S1. Under a preset wind speed condition, adjust the tip sweep amount 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 groups of test data, wherein each group of test data includes a value of the sweep amount and the corresponding state parameters of the blade.

[0126] S2, establishing a corresponding relationship between the sweep amount and state parameters of the blade according to multiple groups of test data.

[0127] S3, determining a target sweep amount that satisfies a constraint condition according to the design parameters and the corresponding relationship of the blade, wherein the constraint condition is related to the design parameters, and the target sweep amount is a maximum sweep amount that satisfies the constraint condition.

[0128] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one 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 may be configured to perform the following steps through a computer program:

[0131] S1. Under a preset wind speed condition, adjust the tip sweep amount 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 groups of test data, wherein each group of test data includes a value of the sweep amount and the corresponding state parameters of the blade.

[0132] S2, establishing a corresponding relationship between the sweep amount and state parameters of the blade according to multiple groups of test data.

[0133] S3, determining a target sweep amount that satisfies a constraint condition according to the design parameters and the corresponding relationship of the blade, wherein the constraint condition is related to the design parameters, and the target sweep amount is a maximum sweep amount that satisfies the constraint condition.

[0134] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0135] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores the computer program product, and when the computer program is executed by a processor, the steps of the method in each embodiment of the present application are implemented.

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

[0137] S1. Under a preset wind speed condition, adjust the tip sweep amount 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 groups of test data, wherein each group of test data includes a value of the sweep amount and the corresponding state parameters of the blade.

[0138] S2, establishing a corresponding relationship between the sweep amount and state parameters of the blade according to multiple groups of test data.

[0139] S3, determining a target sweep amount that satisfies a constraint condition according to the design parameters and the corresponding relationship of the blade, wherein the constraint condition is related to the design parameters, and the target sweep amount is a maximum sweep amount that satisfies the constraint condition.

[0140] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0141] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0142] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining the sweep amount of a blade, characterized in that: The method comprises: Under a preset wind speed condition, adjusting the sweep amount of the blade tip of the blade whose sweep amount is to be determined and determining the state parameter of the blade corresponding to each sweep amount, to obtain multiple groups of test data, wherein each group of the test data includes a value of the sweep amount and the corresponding state parameter of the blade; Establishing a corresponding relationship between the sweep amount and the state parameter of the blade according to the multiple groups of test data; According to the design parameters of the blade and the corresponding relationship, a target sweep amount that satisfies a constraint condition is determined, wherein the constraint condition is related to the design parameters, and the target sweep amount is a maximum sweep amount that satisfies the constraint condition.

2. The method for determining the sweep amount of a blade according to claim 1, characterized in that: Under the preset wind speed condition, the tip sweep amount 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 to obtain multiple groups of test data, including: Determining the rated wind speed condition corresponding to the blade according to the design parameters and working environment of the blade; Under the rated wind speed condition, adjusting the sweep amount of the blade tip of the blade; determining a root torque and a tip twist deformation angle of the blade at each sweep amount; Each set of sweep amounts is recorded in association with the corresponding root torque and tip torsional deformation angle of the blade to obtain multiple sets of test data.

3. The method for determining the sweep amount of a blade according to claim 2, characterized in that: The establishing a corresponding relationship between the sweep amount and the state parameter of the blade according to the plurality of groups of test data comprises: Determining the rated root torque of the blade under the rated wind speed condition according to the design parameters of the blade; Determining a torque change rate of the blade at each sweep amount according to the root torque of the blade at each sweep amount and the rated root torque; According to a plurality of sets of sweep amounts and corresponding torque change rates of the blades, a first corresponding relationship between the sweep amounts and the torque change rates of the blades is established; According to a plurality of sets of sweep amounts and the corresponding tip torsional deformation angles of the blades, a second corresponding relationship between the sweep amounts and the tip torsional deformation angles is constructed.

4. The method for determining the sweep amount of a blade according to claim 3, characterized in that: Determining a target sweep amount satisfying a constraint condition according to the design parameters of the blade and the corresponding relationship includes: Determining a maximum root torque of the blade according to design parameters of the blade; Determining a maximum torque change rate according to the maximum root torque and a preset maximum tolerable torque of the pitch system; determining a first sweep amount according to the maximum torque change rate and the first corresponding relationship; A target sweep amount is determined according to the first sweep amount and the constraint condition.

5. The method for determining the sweep amount of a blade according to claim 4, characterized in that: The step of determining a target sweep amount according to the first sweep amount and the constraint condition comprises: Determining the maximum torsional deformation angle of the blade tip of the blade according to the design parameters of the blade; determining a second sweep amount according to the maximum torsional deformation angle and the second corresponding relationship; The target sweep amount is determined according to the first sweep amount and the second sweep amount.

6. The method for determining the sweep amount of a blade according to any one of claims 1 to 5, characterized in that: The method further comprises: According to the determined target sweep amount, designing the sweep amount of the blade tip of the blade to obtain a blade model; Simulating the working condition of the blade model to determine the load condition of the blade model; According to the load condition, the sweep amount of the blade model is corrected.

7. A device for determining the sweep amount of a blade, characterized in that: The device comprises: A data determination module, used for 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 parameter of the blade corresponding to each sweep amount, to obtain multiple groups of test data, wherein each group of the test data includes a value of the sweep amount and a corresponding state parameter of the blade; A corresponding relationship establishing module, used for establishing a corresponding relationship between the sweep amount and the state parameter of the blade according to the multiple groups of test data; The sweep amount determination module is used to determine a target sweep amount that satisfies a constraint condition according to the design parameters of the blade and the corresponding relationship, wherein the constraint condition is related to the design parameters, and the target sweep amount is a maximum sweep amount that satisfies the constraint condition.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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