Tower model generation method of wind generating set and storage medium

Abstract

The invention discloses a tower model generation method of a wind generating set and a storage medium, and belongs to the field of wind power generation. The method comprises the steps that according to preset expected tower type parameters, a module model database corresponding to the expected tower type parameters is determined, and the module model database comprises module models, structure parameters of the module models and boundary load parameters of the module models; structural parameters of the module model are determined based on weight parameters corresponding to the module model and material attributes of the module model, and boundary load parameters of the module model are determined based on the structural parameters of the module model, a load parameter range supported by a pre-constructed initial tower model and safety conditions of the module model; in the module model database, selecting a module model of which the boundary load parameter and a preset tower section end face expected load parameter meet a preset condition; and generating a tower model based on the module models meeting the predetermined conditions. According to the embodiment of the invention, the design efficiency of the tower can be improved.

Description

Technical Field

[0001] The present application belongs to the field of wind power generation, and in particular, relates to a tower model generation method and storage medium for a wind power generator set. Background Art

[0002] The tower of a wind turbine is the main supporting component of the wind turbine. The load safety of the tower is one of the safety focuses of the wind turbine. Therefore, in the design process of the tower, it is necessary to repeatedly iteratively optimize the designed tower through engineering calculations and simulation calculations to obtain a tower that meets the load safety requirements. For example, the structural part of the tower can be designed by engineers of multiple disciplines. After the designed structural components form the tower, the load safety of the tower is evaluated. If the tower does not meet the load safety requirements, the professional engineers will modify and optimize the designed structural components, redesign the structural components to form the tower, and repeat the above process until the tower composed of the designed structural components meets the load safety requirements and is put into production according to the tower design.

[0003] However, the iterative optimization design process of the above-mentioned tower is very complicated. Each iterative optimization design of the tower involves multiple links, and each iterative optimization design of the tower requires a lot of human intervention, resulting in a long design process cycle and low design efficiency. Summary of the invention

[0004] The embodiment of the present application provides a tower model generation method and storage medium for a wind turbine generator set, which can shorten the design period of the tower and improve the design efficiency of the tower.

[0005] In a first aspect, an embodiment of the present application provides a tower model generation method for a wind turbine generator set, comprising: determining a module model database corresponding to the expected tower type parameters according to predetermined expected tower type parameters, the module model database comprising module models, structural parameters of the module models and boundary load parameters of the module models, wherein the structural parameters of the module model are determined based on weight parameters corresponding to the module model and material properties of the module model, and the boundary load parameters of the module model are determined based on the structural parameters of the module model, a load parameter range supported by a pre-built initial tower model and safety conditions of the module model; in the module model database, selecting a module model whose boundary load parameters and predetermined tower section end face expected load parameters meet predetermined conditions; and generating a tower model based on the module model that meets the predetermined conditions.

[0006] In some possible embodiments, there are more than two expected load parameters for the tower section end face and they correspond to the types of boundary load parameters, and the module model database includes more than two sub-databases, each sub-database includes a module model and structural parameters and boundary load parameters of the model module; in the module model database, a module model whose boundary load parameters and the expected load parameters of the tower section end face meet predetermined conditions is selected, including: in each sub-database, for each boundary load parameter, a module model whose boundary load parameter is greater than and close to the corresponding expected load parameter of the tower section end face is obtained; among the obtained module models corresponding to multiple boundary load parameters, the one with a larger weight is determined as the module model that meets the predetermined conditions.

[0007] In some possible embodiments, the method further includes: for each module model, generating multiple groups of module models according to different weight difference thresholds, and different groups of module models correspond to different weight difference thresholds; obtaining the material property redundancy corresponding to each group of module models according to the structural parameters and material properties of each group of module models and a preset material property model; and adding the module models whose material property redundancy meets the required conditions and the structural parameters of the module models to the module model database.

[0008] In some possible embodiments, the safety condition is related to the safety threshold, the structural parameters include non-variable parameters and variable parameters, and the method further includes: acquiring multiple load parameters from the load parameter range supported by the initial tower model; obtaining variable parameters corresponding to the multiple load parameters based on the acquired multiple load parameters, non-variable parameters and a predetermined safety threshold; fitting a first functional relationship between the load parameters and the variable parameters according to the load parameters, the obtained variable parameters, the safety threshold and the structural parameters of the module model; and determining the boundary load parameters of the module model according to the variable parameters of the module model and the first functional relationship.

[0009] In some possible embodiments, a first functional relationship between the load parameters and the variable parameters is fitted according to the load parameters, the obtained values ​​of the variable parameters, the safety threshold and the structural parameters of the module model, including: fitting a second functional relationship between the load parameters and the variable parameters based on the load parameters and the obtained variable parameters; obtaining a safety evaluation parameter according to the structural parameters of the module model and the second functional relationship; if the safety evaluation parameter does not meet the standard safety threshold, adjusting the safety threshold referenced by the second functional relationship; refitting the second functional relationship based on the obtained multiple load parameters, non-variable parameters and the adjusted safety threshold, until the safety evaluation parameter corresponding to the second functional relationship meets the standard safety threshold, and determining the second functional relationship as the first functional relationship.

[0010] In some possible embodiments, a safety evaluation parameter is obtained based on the structural parameters of the module model and the second functional relationship, including: obtaining a first load parameter based on the structural parameters of the module model and the second functional relationship; obtaining a safety evaluation parameter based on the first load parameter and the structural parameters of the model module.

[0011] In some possible embodiments, a tower model is generated based on a module model that meets a predetermined condition, including: combining the module models that meet the predetermined condition to generate a temporary tower model; obtaining a tower frequency deviation between the temporary tower model and the initial tower model according to the weight of the temporary tower model, the weight of the initial tower model, and a third functional relationship between the weight and the tower frequency obtained by pre-fitting; in a case where the tower frequency deviation does not meet the frequency convergence requirement, correcting the expected load parameters of the tower section end face according to a fourth functional relationship between the tower frequency deviation obtained by pre-fitting and the expected load parameters of the tower section end face; and regenerating the temporary tower model according to the corrected expected load parameters of the tower section end face until the tower frequency deviation between the regenerated temporary tower model and the last generated temporary tower model meets the frequency convergence requirement.

[0012] In some possible embodiments, the method further includes: generating a tower model corresponding to each set of tower section end face load parameters based on tower type parameters, multiple sets of tower section end face load parameters obtained, and a module model database; calculating the tower frequency of each tower model according to the weight of the tower model corresponding to each set of tower section end face load parameters; and fitting a third functional relationship and a fourth functional relationship according to multiple sets of tower section end face load parameters, the weight of the tower model, and the tower frequency of the tower model.

[0013] In some possible embodiments, the module model includes a tower section model, a doorway structure model and a flange model; the boundary load parameters include boundary limit load parameters and boundary fatigue load parameters; the boundary fatigue load parameters include boundary fatigue range load parameters and boundary fatigue mean load parameters.

[0014] In a second aspect, an embodiment of the present application provides a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are executed by a processor, the tower model generation method of a wind turbine generator set according to the first aspect is implemented.

[0015] The embodiment of the present application provides a tower model generation method and storage medium for a wind turbine generator set, which can determine the type of the designed tower according to the expected tower type parameters, thereby determining the module model database corresponding to the type of the tower. The module model database includes multiple model modules, structural parameters of the model modules and boundary load parameters of the model modules. The boundary load parameters of the model modules can represent the boundary value of the load that the model module can bear. In the module model database, a module model whose boundary load parameters and the expected load parameters of the tower section end face meet the predetermined conditions can be quickly selected. The module model that meets the predetermined conditions can bear the load indicated by the expected load parameters of the tower section end face, and the tower model generated based on the module model that meets the predetermined conditions can meet the safety and reliability of the tower model. The module models in the module model database can all meet the safety conditions, and the user does not need to repeatedly redesign the module model during the tower design process, and the entire tower model generation process does not require human intervention, which can shorten the tower design cycle and improve the tower design efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 A schematic diagram of an example of a tower provided in an embodiment of the present application;

[0018] Figure 2 A schematic plan view of an example of a tower section and a flange in a tower provided in an embodiment of the present application;

[0019] Figure 3 A schematic plan view of an example of a tower section, a door opening, and a flange structure in a tower provided in an embodiment of the present application;

[0020] Figure 4 A flow chart of a method for generating a tower model of a wind turbine generator set provided in an embodiment of the present application;

[0021] Figure 5 A schematic diagram of an example of a second tower section model including 7 cylinder segments provided in an embodiment of the present application;

[0022] Figure 6 A schematic cross-sectional view of an example of an L-shaped flange model provided in an embodiment of the present application;

[0023] Figure 7 A schematic cross-sectional view of an example of a T-shaped flange model provided in an embodiment of the present application;

[0024] Figure 8A flow chart of a method for generating a tower model of a wind turbine generator set provided in another embodiment of the present application;

[0025] Fig. 9 A flowchart of a method for generating a tower model of a wind turbine generator set provided in another embodiment of the present application;

[0026] Fig.10 A schematic diagram of the structure of a tower model generating device for a wind turbine generator set provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0028] The tower of a wind turbine generator set is the main supporting component of the wind turbine generator set. The load safety of the tower is one of the safety focuses of the wind turbine generator set. Therefore, in the design process of the tower, it is necessary to repeatedly iteratively optimize the designed tower through engineering calculations and simulation calculations to obtain a tower that meets the load safety requirements. For example, the structural part of the tower can be designed by engineers of multiple disciplines. After the designed structural components form the tower, the load safety of the tower is evaluated. If the tower does not meet the load safety requirements, the professional engineers will modify and optimize the designed structural components, redesign the structural components to form the tower, and repeat the above process until the tower composed of the designed structural components meets the load safety requirements, and the tower design is put into production. However, the iterative optimization design process of the above tower is very complicated. Each iterative optimization design of the tower involves multiple links, and each iterative optimization design of the tower requires more human intervention, resulting in a long design cycle of the tower. For example, the design cycle of the tower can be as long as more than ten days, and the design efficiency is low.

[0029] The present application provides a tower model generation method and medium for a wind turbine generator set, which can construct different module model databases for different types of towers in advance, and store various module models that can form the tower, structural parameters of the module models, and boundary load parameters of the module models in the module model database. In the process of designing the tower, the module model whose boundary load parameters meet the expected load parameters of the tower section end face can be quickly selected from the module model database corresponding to the tower type according to the input expected tower type parameters and the expected load parameters of the tower section end face to form a tower model that can meet the load safety. The whole process does not require manual intervention, which can shorten the design cycle of the tower and improve the design efficiency of the tower.

[0030] To facilitate understanding, the structure of the tower of a wind turbine generator set is briefly described here. Figure 1 FIG. 2 shows an example tower in an embodiment of the present application, such as Figure 1 As shown, the tower of the wind power generation station may include multiple tower sections 11, and the tower section 11 located at a relatively low position may be provided with a door opening 12. As the height of the tower increases, the load on the tower section 11 located at a lower position is greater than the load on the tower section 11 located at a higher position. Figure 2 A tower section in the tower frame and flanges at both ends of the tower section are shown. Figure 3 It shows a tower section in the tower frame, flanges at both ends of the tower section and a door structure, such as Figure 2 and Figure 3 As shown, each tower section 11 may include a plurality of cylinder sections 111, and flanges 13 are provided at both ends of the tower section 11. The load requirement of the flange 13 provided at the end face of the tower section 11 may be consistent with the load requirement of the end face of the tower section 11. Figure 3 As shown, the door opening 12 may be provided at a portion of the cylinder section 111 of the tower section 11. Specifically, the door opening 12 may be provided at a portion of the cylinder section 111 of the first tower section, i.e., a portion of the tower section 11 closest to the ground. In the embodiment of the present application, for ease of operation, the door opening 12 and the cylinder section 111 where the door opening 12 is located are collectively referred to as a door opening structure, and the cylinder section 111 in the first tower section may not include the cylinder section 111 where the door opening 12 is located.

[0031] The tower model generation method and storage medium of the wind turbine generator set provided in the present application are respectively described below.

[0032] A first aspect of the present application provides a tower model generation method for a wind turbine, which can be applied to a tower design scenario for a wind turbine. The tower model generation method for a wind turbine can be specifically executed by a tower model generation device, electronic equipment, etc. of the wind turbine. Figure 4 A flow chart of a method for generating a tower model of a wind turbine generator set provided in an embodiment of the present application, such as Figure 4As shown, the tower model generation method of the wind turbine generator set may include steps S301 to S303.

[0033] In step S301, according to predetermined expected tower type parameters, a module model database corresponding to the expected tower type parameters is determined.

[0034] The expected tower type parameter is used to characterize the type of tower that is expected to be designed. The expected tower type parameter can describe the type of tower from aspects such as the model of the wind turbine generator set, the tower height, and the number of tower sections required for the tower. In some examples, the expected tower type parameter may include, but is not limited to, one or more of the expected wind turbine generator set model, tower height, and the number of tower sections. For example, the expected tower type parameter may indicate that the tower includes 5 tower sections and the tower height is 110 meters.

[0035] The module model database includes module models, structural parameters of module models and boundary load parameters of module models. The structural parameters of module models are used to describe the structure of module models. Module models can be obtained according to the structural parameters of module models. Module models can be pre-set in the module model database so as to quickly call module models to form tower models. The types of structural parameters of module models are related to the types of module models. The types of structural parameters of different types of module models may be different. The structural parameters of different module models in the same type of module model are different, that is, the differences in module models can be reflected through the structural parameters of the model. The boundary load parameters of module models represent the boundary loads that module models can withstand, and the boundary loads may include maximum loads.

[0036] The module model database may correspond to the type of tower. Different module model databases may be set corresponding to different tower types, and the types of module models in the module model databases corresponding to different tower types may be different. For example, the type of module model in the module database corresponding to the type of tower including 5 tower sections is different from the type of module model in the module database corresponding to the type of tower including 7 tower sections. It should be noted that the different types here refer to the difference in the type of at least one module model, and module models of the same type may also exist in some module model databases of different tower types.

[0037] The module model database may include a variety of module models. Different types of module models may have different types of structural parameters, and different types of module models may have different types of boundary load parameters. In some examples, the module model may include but is not limited to a tower segment model, a door structure model, and a flange model.

[0038] Due to the influence of internal accessories, the tower section model will have different heights, sizes, and barrel section distributions at different locations. Therefore, the tower section model can be further divided according to the number of tower sections and the location of the tower sections. For example, the tower section model may include the first section tower section model, the second section tower section model, the third section tower section model, etc. The structural parameters of the tower section model may include but are not limited to the wall thickness of each barrel section in the tower section model. The structural parameters of the tower section model may also include parameters such as barrel section radius and barrel section length. However, the wall thickness of the barrel section is a variable in the tower section model. The boundary load that the tower section model can withstand is mainly determined by the wall thickness of the barrel section. The other structural parameters of the tower section model are given and can be regarded as non-variables. Each tower section model includes multiple barrel sections. The structural parameters of the barrel sections in different tower section models are different. Some structural parameters of different barrel sections in the same tower section model may also be different. For example, the wall thickness of different barrel sections in the same tower section model is different, and the wall thickness of at least one barrel section at the same location in different tower section models is different. For example, the module model database includes 8 second section tower section models. Each second section tower section model is as follows: Figure 5 The structure parameters of the second tower section model in the module model database are shown in Table 1 below:

[0039] Table 1

[0040]

[0041] Among them, the module number is the number of the second tower section model, the a in the module number can represent the tower section, the first digit 2 in the module number represents the second tower section model, and the second and third digits in the module number represent the number of the second tower section model. For example, if the second and third digits in the module number are 01, it means the first second tower section model in the module model database; the t11, t12 and other labels in Table 1 represent the wall thickness of the corresponding cylinder section, but they are not the actual wall thickness values. The actual wall thickness value can be determined according to the division of the module model. The structural parameters of other tower section models are reflected in the module model database in a similar way to the structural parameters of the second tower section model in the module model database, and will not be repeated here.

[0042] The door opening structure model may include the door opening and the cylinder section where the door opening is located. Depending on the door opening structure, the door opening structure model may also include structures such as reinforcing plates, which are not limited here. The structural parameters of the door opening structure model may include but are not limited to the wall thickness of the cylinder section where the door opening is located, the door opening size parameters, the door frame thickness, the reinforcing plate thickness, etc. The embodiment of the structural data of the door opening structure model in the module model database is similar to the embodiment of the structural parameters of the second tower section model in the module model database, and will not be repeated here.

[0043] Flange models can be further divided according to type. For example, flange models can include L-type flange models and T-type flange models. L-type flange models can be used to connect two tower section models, and T-type flange models can be used as the bottom flange of the tower. The structural parameters of the L-type flange model are different from those of the T-type flange model. Figure 6 As shown, the structural parameters of the L-type flange model may include but are not limited to flange outer diameter D1, flange inner diameter D2, flange thickness T1, flange neck thickness T2, flange neck height T3, bolt hole pitch circle diameter D3, bolt diameter D4, bolt quantity and other parameters. Correspondingly, if the module model parameter library includes 8 L-type flange models, the structural parameters of the L-type flange model in the module model parameter library may be as shown in Table 2 below:

[0044] Table 2

[0045]

[0046] Among them, the module number is the number of the L-type flange model, F in the module number represents the flange, and the number in the module number represents the number of the L-type flange model. For example, if the number in the module number is 1, it represents the first L-type flange model in the module model database; the identifiers D11, D12, D13, T11, T12, etc. in Table 2 represent the structural parameters of the corresponding L-type flange model, but are not the actual values ​​of the structural parameters. The actual values ​​of the structural parameters can be determined according to the division of the module model.

[0047] like Figure 7 As shown, the structural parameters of the T-type flange model may also include but are not limited to another flange outer diameter D5 and an outer ring pitch circle D6 relative to the L-type flange model. The embodiment of the structural parameters of the T-type flange model in the module model database is similar to the embodiment of the structural parameters of the L-type flange model in the module model database, and will not be repeated here.

[0048] It should be noted that the flange module will not be constrained by the internal accessories, so the flange module does not need to be further divided according to the position and can be used in all positions in the tower model.

[0049] Different types of module models can have different types of boundary load parameters or the same types of boundary load parameters. Boundary load parameters include boundary limit load parameters and boundary fatigue load parameters. Boundary limit load parameters are used to characterize the boundary value of the limit load. Boundary fatigue load parameters are used to characterize the boundary value of the fatigue load.

[0050] The boundary load parameters of the tower section model, the door structure model and the flange model may include boundary limit load parameters and boundary fatigue load parameters. For example, the boundary load parameters of the second tower section model in the module model database may be as shown in Table 3 below:

[0051] Table 3

[0052]

[0053]

[0054] Among them, the module number is the number of the second tower section model. The description of the module number can be found in the relevant description above and will not be repeated here. Mxy in the boundary limit load parameter represents the boundary limit load parameter in the axial direction, and Mz in the boundary limit load parameter represents the boundary limit load parameter in the shear direction; ΔMy in the boundary fatigue load parameter represents the boundary fatigue load in the horizontal y direction. The numbers in the boundary limit load parameter and the boundary fatigue load parameter represent the number of the second tower section model, B in the boundary limit load parameter and the boundary fatigue load parameter represents that the position corresponding to the boundary load parameter is the bottom of the second tower section model, and T in the boundary limit load parameter and the boundary fatigue load parameter represents that the position corresponding to the boundary load parameter is the top of the second tower section model; since the boundary load parameters of the tower section model decrease in sequence from the bottom to the top, the boundary load parameters of the module model can be obtained through the boundary load parameters at the bottom and the top of the tower section model. The boundary load parameters of other tower section models, the boundary load parameters of the doorway structure model, and the boundary load parameters of the flange model are reflected in the module model database in a similar way to the structural parameters of the second tower section model mentioned above, and will not be repeated here.

[0055] It should be noted that since the fatigue load calculation of bolts in the flange model is different from that of the tower section module and the doorway structure module, the boundary fatigue load of the flange model may include boundary fatigue range load parameters and boundary fatigue mean load parameters. The boundary fatigue range load parameters can be obtained based on the range load formed by the batch of bends in the horizontal y direction. The boundary fatigue mean load parameters can be obtained based on the average value of the bending moment in the horizontal y direction.

[0056] The structural parameters of the module model are determined based on the weight parameters corresponding to the module model and the material properties of the module model, and the boundary load parameters of the module model are determined based on the structural parameters of the module model, the load parameter range supported by the pre-built initial tower model, and the safety conditions of the module model.

[0057] The weight parameter of the module model can characterize the weight of the entity module corresponding to the module model. The material properties of the module model can characterize the properties related to the material of the module model, such as the material production difficulty property, the material selection difficulty property, the material cost property, etc., which are not limited here. The weight parameters of the module model are different, and the structural parameters of the module model may be different; the material properties of the module model are different, and the structural parameters of the module model may be different. The weight parameters of different module models in the same category can be set to be different, and correspondingly, the structural parameters of different module models in the same category are different. For example, the weight parameters of the two second-section tower section models are different, and the wall thickness of the cylinder sections in the two second-section tower section models is different. The module model in the module model database can be comprehensively generated according to the weight parameters and material properties of the module model, so that the entity production process corresponding to the module model in the module model database is simpler and less costly.

[0058] When the structural parameters of the module model are determined, the boundary load parameters of the module model can be calculated based on the structural parameters of the module model, the load parameter range supported by the initial tower model, and the safety conditions of the module model. The initial tower model is a pre-built tower model that meets the safety evaluation, and the initial tower models corresponding to different tower types may be different. The boundary load parameters of the module model can reflect the limit of the load that the module model can withstand. The safety conditions of the module model may include safety requirements for the static strength, buckling, fatigue, etc. of the module model. It is necessary to ensure that the boundary load parameters of the module model in the module model database can meet the safety conditions under the corresponding structural parameters and the load parameter range supported by the tower, so as to ensure the safety and reliability of the module model within the load range defined by the boundary load parameters.

[0059] In step S302, a module model whose boundary load parameters and predetermined tower section end face expected load parameters meet predetermined conditions is selected from the module model database.

[0060] The expected load parameters of the tower section end face include the expected load parameters of the tower section end face in the designed tower, and specifically may include the expected load parameters of the tower section top face and the expected load parameters of the tower section bottom face. The predetermined condition may include the condition that the module model meets the safety of the tower design. In some examples, a module model with a boundary load parameter greater than the expected load parameter of the tower section end face may be selected as the module model of the synthetic tower model to ensure that the load that each tower section end face in the tower model synthesized by the selected module model can bear is greater than the load indicated by the expected load parameter of the tower section end face at the corresponding position, to ensure the safety and reliability of the tower model, thereby ensuring the safety and reliability of the tower produced according to the tower model. In some examples, in addition to considering the safety of the module tower model, the cost of the tower model may also be considered to select the module model required for the synthetic tower model, and specifically a module model with a boundary load parameter greater than and close to the expected load parameter of the tower section end face may be selected as the module model of the synthetic tower model, and on the basis of ensuring the safety and reliability of the tower model synthesized by the selected module model, the weight of the physical tower corresponding to the tower model is relatively reduced, thereby reducing the cost of the physical tower corresponding to the tower model.

[0061] In step S303, a tower model is generated based on the module models that meet predetermined conditions.

[0062] The module models that meet the predetermined conditions can be combined in sequence according to the order of different types of module models in the tower model to obtain the tower model. In some examples, in order to further ensure the safety of the tower model, the tower frequency of the generated tower model can be verified. If the tower frequency of the tower model fails to pass the verification, the expected load parameters of the tower section end face are adjusted, and the above process of obtaining the module models required for generating the tower model from the module model database is repeated until the tower frequency of the generated tower model passes the verification.

[0063] When the final tower model is obtained, a tower drawing can be output according to the tower model. The tower drawing may include structural parameters of the tower model and module models in the tower model, so as to facilitate subsequent production and assembly of the tower according to the tower drawing.

[0064] In the embodiment of the present application, the type of the designed tower can be determined according to the expected tower type parameter, so as to determine the module model database corresponding to the type of the tower. The module model database includes multiple model modules, structural parameters of the model modules and boundary load parameters of the model modules. The boundary load parameters of the model module can characterize the boundary value of the load that the model module can bear. In the module model database, a module model whose boundary load parameters and the expected load parameters of the tower section end face meet the predetermined conditions can be quickly selected. The module model that meets the predetermined conditions can bear the load indicated by the expected load parameters of the tower section end face, and the tower model generated based on the module model that meets the predetermined conditions can meet the safety and reliability of the tower model. The module models in the module model database can all meet the safety conditions, and the user does not need to repeatedly redesign the module model during the tower design process, and the entire tower model generation process does not require human intervention, which can realize the automation of tower model generation, shorten the tower design cycle, and improve the tower design efficiency. After testing, the generation of the tower model in the embodiment of the present application can be completed in seconds, which greatly shortens the tower design cycle and improves the tower design efficiency compared with the design cycle that requires several days or even more than ten days for repeated iterative optimization during the design process.

[0065] In some embodiments, the module models in the module model database are module models with relatively lower production difficulty and cost, so that the production difficulty and cost of the tower corresponding to the tower model generated by using the module models in the module model database can be reduced. Before the tower model generation process is executed, a module model database including module models with relatively lower production difficulty and cost can be constructed in advance. Specifically, for each module model, multiple groups of module models can be generated according to different weight difference thresholds; the material attribute redundancy corresponding to each group of module models is obtained according to the structural parameters and material attributes of each group of module models and the preset material attribute model; the module models whose material attribute redundancy meets the required conditions and the structural parameters of the module models are added to the module model database.

[0066] The weight difference threshold is the weight difference between any two adjacent weight module models in the same type of module model. Different weight difference thresholds can be set in advance, and a group of module models can be generated for each weight difference threshold. The weight difference thresholds corresponding to different groups of module models are different, and the weight difference threshold can be achieved by setting the structural parameters of the module model. For example, taking the second section tower section model as an example, three weight difference thresholds are set to 1.2 tons, 1.5 tons and 1.8 tons respectively, then the tower section model group 1 is generated according to 1.2 tons, the tower section model group 2 is generated according to 1.5 tons, and the tower section model group 3 is generated according to 1.8 tons; the weight difference between any two adjacent weight tower section models in the tower section model group 1 is 1.2 tons, the weight difference between any two adjacent weight tower section models in the tower section model group 2 is 1.5 tons, and the weight difference between any two adjacent weight tower section models in the tower section model group 3 is 1.8 tons; the weight difference between different tower section models can be achieved by setting the wall thickness of the cylinder section in the tower section model. The material property redundancy can reflect the material properties that the module model can reduce. The material properties are related to the production difficulty, cost, etc. The material property redundancy can comprehensively reflect the relative production difficulty and cost that the module models of the above different groups can reduce. The higher the material property redundancy, the lower the production difficulty and cost corresponding to the module model; the lower the material property redundancy, the higher the production difficulty and cost corresponding to the module model. The input of the material property model includes the structural parameters of the module model and the material properties of the module model, and the output of the material property model is the material property redundancy. For example, the relationship of the material property model can be shown as follows (1):

[0067] ΔCt=ΔC(Δtype,A2)-ΔC(Δweight,A1,A2) (1)

[0068] Among them, ΔCt is the redundancy of material properties; ΔC(Δtype, A2) is the material property that can be reduced by the material type selected by this group of module models compared with the material type of non-model modularization, for example, the material thickness type selected by this group of module models can reduce the production difficulty and cost compared with the material thickness type of non-model modularization, Δtype is the type of material selected by this group of module models that is reduced relative to the material type of non-model modularization, A2 is the material property of the material selected by this group of module models; ΔC(Δweight, A1, A2) is the material property that is increased by the material type selected by this group of module models compared with the material type of non-model modularization, Δweight is the weight increased by the material selected by this group of module models relative to the material of non-model modularization, and A1 is the material property of the material of non-model modularization.

[0069] In some examples, a group of module models with the largest redundancy in material properties can be obtained from multiple groups of module models, and a module model database can be constructed based on this group of module models, that is, this group of module models and their structural parameters are added to the module model database.

[0070] Through the redundancy of material properties, the production difficulty, cost, etc. can be used as constraints of the module model in the module model database, so as to obtain a module model with relatively lower production difficulty and cost. On the basis of ensuring the safety of the designed tower, the production difficulty and cost of each structural part of the tower are reduced.

[0071] In some embodiments, the expected load parameters of the tower section end face have more than two types and correspond to the types of boundary load parameters. For example, the expected load parameters of the tower section end face include the expected limit load of the tower section end face and the expected fatigue load of the tower section end face. Correspondingly, the boundary load parameters may include the boundary limit load parameter and the boundary limit fatigue load parameter. In some examples, the expected fatigue load of the tower section end face may include the expected fatigue range load of the tower section end face and the expected fatigue mean load of the tower section end face. Correspondingly, the boundary fatigue load parameters include the boundary fatigue range load parameter and the boundary fatigue mean load parameter.

[0072] The module model database includes more than two sub-databases, each of which includes a module model and structural parameters and boundary load parameters of the model module. For example, the module model database includes a tower section model sub-database, a doorway structure model sub-database and a flange model sub-database; the tower section model sub-database includes the tower section model, the structural parameters of the tower section model and the boundary load parameters of the tower section model; the doorway structure model sub-database includes the doorway structure model, the structural parameters of the doorway structure model and the boundary load parameters of the doorway structure model; the flange model sub-database includes the doorway structure model, the structural parameters of the flange model and the boundary load parameters of the flange model.

[0073] In the case where there are more than two expected load parameters for the tower section end face, the module models that meet the predetermined conditions corresponding to the two or more expected load parameters for the tower section end face may be different, and it is necessary to further select one of the module models as the module model required for generating the tower model. Specifically, in each sub-database, for each boundary load parameter, a module model whose boundary load parameter is greater than and close to the corresponding expected load parameter for the tower section end face can be obtained; among the obtained module models corresponding to the multiple boundary load parameters, the one with a larger weight is determined as the module model that meets the predetermined conditions. For example, taking the sub-database of the second section tower model as an example, in the sub-database, if the module number of the second section tower model is a205, and the boundary limit load parameter is greater than the expected limit load of the tower end face and the difference between the boundary limit load parameter and the expected limit load of the tower end face is the smallest, the module number of the second section tower model is a206, and the weight of the second section tower model with module number a206 is greater than the weight of the second section tower model with module number a205, then the second section tower model with module number a206 is selected as the second section tower model required to generate the tower model. For another example, taking the sub-database of the L-type flange model as an example, in the sub-database, if the module number of the L-type flange model whose boundary limit load parameter is greater than the expected limit load of the tower section end face and the difference between the boundary limit load parameter and the expected limit load of the tower section end face is the smallest is F2, the module number of the L-type flange model whose boundary fatigue range load parameter is greater than the expected fatigue range load of the tower section end face and the difference between the boundary fatigue range load parameter and the expected fatigue range load of the tower section end face is the smallest is F3, the module number of the L-type flange model whose boundary fatigue mean load parameter is greater than the expected fatigue mean load of the tower section end face and the difference between the boundary fatigue mean load parameter and the expected fatigue mean load of the tower section end face is F4, the weight of the L-type flange model with module number F2 is greater than the weight of the L-type flange model with module number F3, and the weight of the L-type flange model with module number F3 is greater than the weight of the L-type flange model with module number F4, then the L-type flange model with module number F2 is selected as the L-type flange model required to generate the tower model.

[0074] The heavier the module model is, the greater the load it can bear. Among the module models corresponding to various boundary load parameters, selecting a module model with a heavier weight can further ensure the load safety of the tower.

[0075] In some embodiments, boundary load parameters may be pre-defined for each module model so that a module model that meets the load safety requirements of the tower can be selected in the subsequent process of generating the tower model. Figure 8 A flowchart of a method for generating a tower model of a wind turbine generator set provided in another embodiment of the present application, Figure 8 and Figure 4 The difference is that Figure 8 The tower model generation method of the wind turbine generator set shown may further include steps S304 to S307.

[0076] In step S304, a plurality of load parameters are obtained from a load parameter range supported by the initial tower model.

[0077] Different types of towers may support different load parameter ranges. An initial tower model may be constructed for each predetermined tower type. The load parameter range supported by the initial tower model is consistent with the load parameter range supported by the corresponding tower type. The boundary load parameters of the module model in the module model database corresponding to the tower type may be defined by the load parameter range supported by each initial tower model constructed for each tower type. For a tower type, the load parameter range supported by the initial tower model corresponding to the tower type is obtained, and batch load parameters may be obtained from the load parameter range.

[0078] In step S305, variable parameters corresponding to the multiple load parameters are obtained based on the acquired multiple load parameters, non-variable parameters and a predetermined safety threshold.

[0079] The structural parameters of the module model may include non-variable parameters and variable parameters. The non-variable parameters in the structural parameters are parameters with fixed values, and the variable parameters in the structural parameters are parameters with variable values. Different module models of the same type are mainly distinguished by the variable parameters in the structural parameters. For example, if the module model is a tower section model, the barrel section diameter, barrel section radius, barrel section length, etc. in the structural parameters may be non-variable parameters, and the wall thickness of the barrel section in the structural parameters is a variable parameter.

[0080] The safety condition in the above embodiment is related to the safety threshold, which may include but is not limited to the safety threshold of buckling safety, the safety threshold of fatigue safety, the safety threshold of static strength safety, etc. The value of the safety evaluation parameter obtained when the boundary load parameter of the module model is evaluated for safety should be less than or equal to the safety threshold. The predetermined safety threshold may be a given initial safety threshold, and the safety threshold may also be adjusted in the subsequent process.

[0081] According to the structural parameters of the module model, the load borne by the module model, engineering mechanics and safety evaluation definitions, the safety evaluation parameters can be obtained. In the embodiment of the present application, multiple load parameters, non-variable parameters and predetermined safety thresholds can be obtained from the load parameter range supported by the initial tower model corresponding to the tower type as known quantities, and the variable parameters corresponding to the obtained multiple load parameters can be reversed by using engineering mechanics and safety evaluation definitions.

[0082] The boundary limit load parameters of the tower section model and the doorway structure model are mainly dominated by the buckling safety evaluation, the boundary limit load parameters of the flange model are mainly dominated by the static strength safety evaluation, and the boundary fatigue load parameters of the tower section model, the doorway structure model and the flange model are mainly dominated by the fatigue safety evaluation. For ease of understanding, the buckling safety evaluation, fatigue safety evaluation and static strength safety evaluation are used as examples for explanation.

[0083] Buckling safety evaluation can include axial stability evaluation, shear stability evaluation and comprehensive stability evaluation. The calculation process of shear stability evaluation and comprehensive stability evaluation is similar to that of axial stability evaluation, so it will not be described here. The following mainly describes the axial stability evaluation of the tower section model.

[0084] The bending moment and axial force of the cylinder segment in the tower segment model will produce axial stress, which can be seen in the following equations (2) and (3):

[0085]

[0086]

[0087] Among them, σ x,Ed is the axial stress of the cylinder segment; F z is the axial force acting on the tower section. Since the load component that mainly contributes to the axial stress is the bending moment, F can be ignored in the specific operation. z ; A is the cross-sectional area of ​​the tube; M xy is the moment load component, where a plurality of load parameters obtained from the load parameter range supported by a predetermined type of tower can be substituted into the parameter; W xy is the bending section modulus of the cylinder section; d o is the outer diameter of the cylinder segment; t is the wall thickness of the cylinder segment.

[0088] The ideal critical stress of instability can be determined by the structural parameters of the cylinder segment, which can be seen from the following equations (4) to (6):

[0089]

[0090] C x =f(ω,r,t) (5)

[0091]

[0092] Among them, σ x,Rcr is the ideal critical stress of instability of the cylinder; E is the elastic modulus of the material; C x is the dimensionless coefficient, f() is the functional relationship; ω is the dimensionless coefficient; t is the wall thickness of the cylinder section; r is the mid-surface radius of the cylinder section; l is the length of the cylinder section.

[0093] The actual axial instability critical stress of the cylinder segment can also be determined, as shown in the following equations (7) and (8):

[0094] 0 x,Rk = x x f y,k (7)

[0095]

[0096] Among them, σ x,Rk is the actual axial instability critical stress of the cylinder segment; x is the reduction factor; f y,k is the material yield strength; σ x,Rcr is the ideal critical stress of instability of the cylinder segment; is the axial extrusion slenderness ratio; α x , β x and η x is the coefficient related to manufacturing defects; f() is the functional relationship.

[0097] The axial allowable buckling stress of the cylinder section can also be determined, see the following formula (9):

[0098]

[0099] Among them, σ x,Rd is the axial allowable buckling stress of the cylinder segment; σ x,Rk is the actual axial instability critical stress of the cylinder segment; γ M is the material partial factor.

[0100] The axial stability of the cylinder section of the tower section is evaluated. If the cylinder section does not suffer axial instability, the axial stress generated by the cylinder section bending moment and the axial allowable buckling stress should satisfy the following formula (10):

[0101]

[0102] in, is the safety evaluation parameter for axial stability evaluation; σ x,Ed is the axial stress of the cylinder segment; x,Rd is the axial allowable buckling stress of the cylinder segment; S_BK 1 is the safety threshold corresponding to the axial stability assessment, and the initial safety threshold corresponding to the axial stability assessment S_BK 1 The correct answer is 1.

[0103] The multiple load parameters obtained from the load parameter range supported by the initial tower model corresponding to the tower type can be used as the moment load component M in the above equations (2) to (10): xyBased on non-variable parameters such as the outer diameter of the cylinder segment and other known parameters, according to the above formulas (2) to (10), the wall thickness of the cylinder segment of the tower section corresponding to the multiple load parameters obtained, that is, the variable parameter, is calculated.

[0104] The buckling safety evaluation process of the portal structure model is similar to that of the tower section model. Similarly, the axial stability evaluation process of the portal structure model is similar to that of the tower section model, which will not be elaborated here.

[0105] The static strength safety evaluation of the flange model is explained below.

[0106] The static strength safety evaluation of the flange model should satisfy the following formula (11):

[0107] SRF U，FI = func(M xy , d f，o , d f，l , d m , n, t fl , d ls , d b , a, b, c s , c d , F v , ...) ≥ S_BK 2 (11)

[0109] Among them, SRF U,FI M is the safety evaluation parameter for static strength safety evaluation; xy is the moment load component, where a plurality of load parameters obtained from the load parameter range supported by a predetermined type of tower can be substituted into the parameter; d f,o is the outer diameter of the flange; d f,l is the flange inner diameter; d m is the bolt center pitch circle diameter; n is the number of bolts; t fl is the flange thickness; d ls is the bolt hole diameter; d b is the bolt diameter; a is the distance from the inner surface of the flange to the center of the bolt; b is the distance from the middle surface of the tower to the center of the bolt; c is the distance from the inner surface of the flange to the center of the bolt s is the tensile stiffness of the bolt; c d F is the series stiffness of flange and gasket; v is the bolt preload; func() is the function relationship; S_BK 2 is the safety threshold corresponding to fatigue safety evaluation. The initial safety threshold corresponding to fatigue safety evaluation can be 1.

[0110] In the process of obtaining variable parameters corresponding to multiple load parameters based on the acquired multiple load parameters, non-variable parameters and predetermined safety thresholds, one structural parameter among the structural parameters of the flange model can be regarded as a variable parameter, and the other structural parameters can be regarded as non-variable parameters. For example, the flange thickness of the flange module can be regarded as a variable parameter, and the other structural parameters can be regarded as non-variable parameters.

[0111] The multiple load parameters obtained from the load parameter range supported by the initial tower model corresponding to the tower type can be used as the moment load component M in the above formula (11): xy Based on non-variable parameters such as flange outer diameter, flange inner diameter and other known parameters, according to the above formula (11), the flange thickness corresponding to the obtained multiple load parameters, i.e., the variable parameter, is calculated.

[0112] The fatigue safety evaluation of the tower section model is explained below. The fatigue safety of the tower section can be reflected in the evaluation of the fatigue cumulative damage of the ring weld of the tower section cylinder.

[0113] The horizontal x-direction stress range and the horizontal y-direction stress range of the i-th stress interval in the Markov matrix can be calculated, as shown in the following equations (12) and (13):

[0114]

[0115]

[0116] Among them, Δσx i is the horizontal x-direction stress range of the i-th stress interval in the Markov matrix; ΔMx i is the bending moment in the horizontal x direction of the i-th load interval in the Markov matrix; W x is the bending modulus of the cylinder section, which can be calculated according to the outer diameter of the cylinder section and the wall thickness of the cylinder section as in formula (3); Δσy i is the horizontal y-direction stress range of the i-th stress interval in the Markov matrix; ΔMy i is the bending moment in the horizontal y direction of the i-th load interval in the Markov matrix; W y is the bending modulus of the cylinder section, which can be calculated based on the outer diameter of the cylinder section and the wall thickness of the cylinder section as shown in the above formula (3).

[0117] The fatigue safety evaluation of the cylinder section of the tower section is carried out. If the cylinder section meets the fatigue safety evaluation, the following formula (14) should be satisfied:

[0118]

[0119] Where D is the safety evaluation parameter for fatigue safety evaluation; N i is the number of stress cycles in the i-th stress interval in the Markov matrix; scf is the stress concentration factor; n F is the stress interval number; Δσ D is the fatigue strength corresponding to the inflection point of the material SN curve; m is the inverse of the slope of the material SN curve; N D is the number of stress cycles corresponding to the inflection point of the material SN curve; S_BK 3 is the safety threshold corresponding to the fatigue safety evaluation. The initial safety threshold corresponding to the fatigue safety evaluation can be 1. The description of other parameters can be found in the above formulas (2) to (13), which will not be repeated here.

[0120] The above ΔMx i and ΔMy i It is a series of variable amplitude cyclic loads. In the design of wind turbines, equivalent fatigue loads can be used to measure the fatigue load size and make a preliminary assessment of the fatigue strength of structural components. The equivalent fatigue load can be obtained by converting the variable amplitude cyclic load through equivalent damage, and the fatigue dominant load is ΔMy in the horizontal y direction. i , can be directly converted from ΔMy i The equivalent fatigue load in the horizontal y direction obtained by conversion is regarded as fatigue load. The conversion of variable amplitude cyclic load to equivalent fatigue load can be shown as follows (15):

[0121]

[0122] Among them, ΔMy eq is the equivalent fatigue load in the dominant horizontal y direction obtained by conversion; N eq is the number of lifespans corresponding to the equivalent fatigue load, which can be selected as the infinite number of cycles of the material; for other parameters, please refer to the relevant descriptions of the parameters in the above equations (2) to (14), which will not be repeated here.

[0123] The multiple load parameters obtained from the load parameter range supported by the initial tower model corresponding to the tower type can be used as ΔMy in the above formula (13): eq Based on non-variable parameters such as the outer diameter of the cylinder section and other known parameters, according to the above formulas (12) to (15), the wall thickness of the cylinder section of the tower section corresponding to the multiple load parameters obtained, that is, the variable parameter, is calculated.

[0124] The fatigue safety evaluation of the door opening structure model is similar to the fatigue safety evaluation process of the tower section model mentioned above, which will not be elaborated here. The fatigue safety evaluation of the flange model is similar to the fatigue safety evaluation of the tower section model mentioned above. The difference is that the fatigue load of the flange model is calculated based on the Petersen bolt fatigue calculation law, and the influence of the range and mean of the equivalent fatigue load must be considered at the same time. The embodiment of the present application can control a single variable and batch extract load parameters with unchanged mean load parameters and changed range load parameters and load parameters with unchanged range load parameters and changed mean load parameters based on the load parameter range supported by the initial tower model corresponding to the tower type. For example, the stress range corresponding to the bolt can be obtained based on the fatigue range load and the fatigue mean load, as shown in the following formula (16):

[0125]

[0126] Since the fatigue load is dominated by the load in the horizontal y direction, the load calculation in the horizontal x direction can be ignored; M ym is the fatigue mean load; ΔM y is the fatigue range load; M smax is the upper limit of fatigue load range; M smin F is the lower limit of fatigue load range; smax is the maximum bolt tension; F smin is the minimum bolt tension; fun1() is M smax 、M smin With F smax 、F smin The specific formula can be found in the wind power industry standard and will not be elaborated here; ΔF s is the tension range of the bolt; fun2() is F smax 、F smin With ΔF s The functional relationship of the maximum bolt tension F smax With minimum bolt tension F smin Calculate the difference. The stress range Δσ corresponding to the bolt fatigue calculation i The tension range of the bolt is ΔF s It is obtained according to the principle of material mechanics and will not be elaborated here.

[0127] The range load parameter and mean load parameter obtained by the load parameter within the load parameter range supported by the initial tower model corresponding to the tower type can be regarded as the fatigue range load ΔM in the above formula (16) y and fatigue mean load M ym , the stress range Δσ corresponding to the bolt obtained based on the range load parameter and the mean load parameter in the above formula (16) iis regarded as the horizontal y-direction stress range Δσy of the i-th stress interval in the Markov matrix in the above equation (14): i , combined with non-variable parameters and other known parameters, according to the above formulas (14) and (16), the flange thickness corresponding to the obtained range load parameters and mean load parameters, i.e., the variable parameters, are obtained.

[0128] In step S306, a first functional relationship between the load parameter and the variable parameter is obtained by fitting according to the load parameter, the obtained variable parameter, the safety threshold and the structural parameters of the module model.

[0129] The variable parameters obtained here refer to the multiple load parameters, non-variable parameters and safety thresholds obtained in step S305 within the load parameter range supported by the initial tower model corresponding to the tower type, and the variable parameters obtained by reverse deduction using engineering mechanics and safety evaluation, and the obtained variable parameters correspond to the multiple load parameters obtained in step S305. If the obtained variable parameters correspond to the obtained multiple load parameters, a fitting algorithm can be used to fit the functional relationship between the load parameters and the variable parameters, i.e., the first functional relationship.

[0130] For example, corresponding to the above equations (2) to (10), the first functional relationship of the ultimate load dominated by the buckling safety evaluation obtained by fitting can be shown as follows (17):

[0131] Mxy=func(r,t,l,E,f y,k ,x x ,γ M ,S_BK 1 ) (17)

[0132] The parameter descriptions in the above formula (17) can refer to the corresponding parameter descriptions in the above formulas (2) to (10), which will not be repeated here.

[0133] Similarly, corresponding to the above formula (11), the first functional relationship of the ultimate load dominated by the static strength safety evaluation obtained by fitting can be shown as follows (18):

[0134] Mxy=func(d f,o ,d f,l ,d m ,n,t fl ,d ls ,d b ,a,b,c s ,c d ,F v ,S_BK 2 …) (18)

[0135] The parameter description in the above formula (18) can refer to the corresponding parameter description in the above formula (11), which will not be repeated here.

[0136] For another example, corresponding to the above equations (12) to (15), the first functional relationship of the fatigue load dominated by the fatigue safety evaluation obtained by fitting can be shown as the following equation (19):

[0137] ΔMy eq =func(r,t,γ M ,s cf ,ΔMy i ,N i ,S_BK 3 ) (19)

[0138] The parameter descriptions in the above formula (19) can refer to the corresponding parameter descriptions in the above formulas (12) to (15), which will not be repeated here.

[0139] The fitting algorithm used in the above fitting process may include the least square method, and the first functional relationship may be determined by controlling the goodness of fit. The goodness of fit may be obtained by the following formula (20):

[0140]

[0141] Among them, R 2 is the goodness of fit; Mxy i is the actual load; is the expected load, i.e. the average value of the actual load; is the predicted load, i.e., the boundary load parameter predicted by the first function.

[0142] The goodness of fit of the first functional relationship needs to meet a predetermined goodness of fit condition. For example, the goodness of fit of the first functional relationship needs to be higher than or equal to a goodness of fit threshold. The goodness of fit threshold can be determined based on the scenario, requirements, experience, etc. For example, the goodness of fit threshold can be 0.98.

[0143] In some examples, an accurate first functional relationship may be obtained through one fitting, or multiple fittings may be required to obtain an accurate first functional relationship. The following describes a method in which multiple fittings are required to obtain an accurate first functional relationship. Based on the load parameters and the obtained variable parameters, a second functional relationship between the load parameters and the variable parameters may be fitted; based on the structural parameters of the module model and the second functional relationship, a safety evaluation parameter may be obtained; if the safety evaluation parameter does not meet the standard safety threshold, the safety threshold referenced by the second functional relationship may be adjusted; based on the obtained multiple load parameters, non-variable parameters, and the adjusted safety threshold, the second functional relationship may be refitted until the safety evaluation parameter corresponding to the second functional relationship meets the standard safety threshold, and the second functional relationship is determined as the first functional relationship.

[0144] The second functional relationship is the functional relationship between the load parameter and the variable parameter obtained by this fitting. The first load parameter can be obtained according to the structural parameters of the module model and the second functional relationship. Specifically, the structural parameters of the module model can be substituted into the second functional relationship, and the load parameter in the second function is determined as the first load parameter; the safety evaluation parameter can be obtained according to the first load parameter and the structural parameters of the model module. Specifically, the second functional relationship can be evaluated for safety according to the first load parameter and the structural parameters of the model module, thereby obtaining the safety evaluation parameter. The content of the safety evaluation can be found above and will not be repeated here. The safety evaluation parameter may include the safety evaluation parameters of the axial stability evaluation, static strength safety evaluation, and fatigue safety evaluation mentioned above. Whether the safety evaluation meets the safety requirements can be determined by whether the safety evaluation parameter meets the standard safety threshold. The standard safety threshold can be the safety threshold set by the wind power industry standard. The safety evaluation parameter meeting the standard safety threshold can be realized as the safety evaluation parameter is less than or equal to the standard safety threshold, or it can be realized as the safety evaluation parameter is greater than or equal to the standard safety threshold, which is specifically related to the type of safety evaluation. For example, if the safety evaluation includes axial stability evaluation, the safety evaluation parameter meets the standard safety threshold and is implemented as the safety evaluation parameter is less than or equal to the standard safety threshold; if the safety evaluation includes static strength safety evaluation, the safety evaluation parameter meets the standard safety threshold and is implemented as the safety evaluation parameter is greater than or equal to the standard safety threshold; if the safety evaluation includes fatigue safety evaluation, the safety evaluation parameter meets the standard safety threshold and is implemented as the safety evaluation parameter is less than or equal to the standard safety threshold. If the safety evaluation parameter meets the standard safety threshold, it means that the structural parameters of the module model meet the safety requirements within the range of the boundary load parameters derived by the second functional relationship, that is, the second functional relationship is valid and meets the safety requirements, and the second functional relationship is determined as the first functional relationship. If the safety evaluation parameter does not meet the standard safety threshold, it means that the structural parameters of the module model do not meet the safety requirements within the range of the boundary load parameters derived by the second functional relationship, that is, the second functional relationship does not meet the safety requirements and needs to be refitted, then the safety threshold needs to be adjusted. Here, the adjusted safety threshold is the safety threshold referenced in the second functional relationship. In the first iteration, the safety threshold referenced in the second functional relationship is the standard safety threshold. In the iteration after the first iteration, the safety threshold referenced in the second functional relationship is the safety threshold adjusted in the previous iteration.After adjusting the safety threshold referenced in the second functional relationship, a new variable parameter corresponding to the multiple load parameters can be obtained based on the obtained multiple load parameters, the non-variable parameter and the adjusted safety threshold. According to the obtained multiple load parameters and the obtained new variable parameter, the second functional relationship is refitted, and the structural parameters of the module model in the module model database are substituted into the refitted second functional relationship. The safety evaluation of the refitted second functional relationship is performed to obtain a new safety evaluation parameter. The above process is repeated until the safety evaluation parameter corresponding to the second functional relationship meets the standard safety threshold, and the second functional relationship is determined as the first functional relationship. It should be noted that the adjustment method of the safety threshold may be different for different types of safety evaluation. For example, if the safety evaluation includes axial stability evaluation, when the safety evaluation parameter corresponding to the second functional relationship is greater than the standard safety threshold, the safety threshold referenced by the second functional relationship is reduced. If the safety threshold referenced by the second functional relationship is the safety threshold S_BK in the above formula (17). 1 , then when the safety evaluation parameter corresponding to the second functional relationship is greater than the standard safety threshold, the safety threshold S_BK referenced in the second functional relationship is reduced 1 ; If the safety evaluation includes static strength safety evaluation, then when the safety evaluation parameter corresponding to the second functional relationship is less than the standard safety threshold, the safety threshold referenced by the second functional relationship is increased. If the safety threshold referenced by the second functional relationship is the safety threshold S_BK in the above formula (18), 2 , then when the safety evaluation parameter corresponding to the second functional relationship is less than the standard safety threshold, the safety threshold S_BK referenced in the second functional relationship is increased 2 ; If the safety evaluation includes fatigue safety evaluation, then when the safety evaluation parameter corresponding to the second functional relationship is greater than the standard safety threshold, the safety threshold referenced by the second functional relationship is reduced. If the safety threshold referenced by the second functional relationship is the safety threshold S_BK in the above formula (19), 3 , then when the safety evaluation parameter corresponding to the second functional relationship is greater than the standard safety threshold, the safety threshold S_BK referenced in the second functional relationship is reduced 3 .

[0145] In step S307, the boundary load parameters of the module model are determined according to the variable parameters of the module model and the first functional relationship.

[0146] Substituting the variable parameters of the module model into the first functional relationship, the load parameters in the first functional relationship can be obtained, and the load parameters in the first functional relationship can be determined as the boundary load parameters of the module model. Substituting the variable parameters of the tower section model and the doorway structure model into the first functional relationship of the limit load dominated by the buckling safety evaluation to obtain the load parameters can be determined as the boundary limit load parameters of the tower section model and the doorway structure model. Substituting the variable parameters of the flange model into the first functional relationship of the limit load dominated by the static strength safety evaluation to obtain the load parameters can be determined as the boundary limit load parameters of the flange model. Substituting the variable parameters of the tower section model and the doorway structure model into the first functional relationship of the fatigue load dominated by the fatigue safety evaluation to obtain the load parameters can be determined as the boundary fatigue load parameters of the tower section model and the doorway structure model. The first functional relationship of the fatigue load dominated by the fatigue safety evaluation corresponding to the flange model may include two first functional relationships, one of which is dominated by the fatigue range load, and the first functional relationship is fitted using the load parameter range supported by the initial tower model corresponding to the tower type, and the batch extracted mean load parameters remain unchanged, while the range load parameters vary; the other first functional relationship is dominated by the fatigue mean load, and the first functional relationship is fitted using the load parameter range supported by the initial tower model corresponding to the tower type, and the batch extracted range load parameters remain unchanged, while the mean load parameters vary. Substituting the variable parameters of the flange model into the two first functional relationships of the fatigue load dominated by the fatigue safety evaluation can obtain the boundary fatigue range load parameters and boundary fatigue mean load parameters of the flange model.

[0147] In some embodiments, after obtaining a module model that meets predetermined conditions, the module models that meet predetermined conditions can be combined to generate a tower model, and the tower frequency of the generated tower model can be verified. Through verification, it can be determined whether the tower frequency of the generated tower model meets the load convergence requirements. Only the tower model that meets the load convergence requirements can be put into use. Fig. 9 A flowchart of a method for generating a tower model of a wind turbine generator set provided in another embodiment of the present application, Fig. 9 and Figure 4 The difference is that Figure 4 Step S303 in the above example can be specifically broken down into Fig. 9 Steps S3031 to S3034 in .

[0148] In step S3031, module models that meet predetermined conditions are combined to generate a temporary tower model.

[0149] According to the positions of the module models in the tower model, the modules that meet the predetermined conditions can be combined to obtain the tower model, and the combined tower model is used as a temporary tower model for frequency verification.

[0150] In step S3032, the tower frequency deviation between the temporary tower model and the initial tower model is obtained according to the weight of the temporary tower model, the weight of the initial tower model and the third functional relationship between the weight and the tower frequency obtained by pre-fitting.

[0151] The initial tower model may be a tower model used to define boundary load parameters of the module model in the module model database. For details, please refer to the relevant descriptions in the above embodiments, which will not be described again.

[0152] The third functional relationship is a functional relationship between the weight of the tower and the tower frequency, which can be obtained by fitting the weight and tower frequency of the tower model composed of the module models in the module model database in advance. In an embodiment of the present application, the weight corresponding to the temporary tower model can be substituted into the third functional relationship to obtain the tower frequency corresponding to the weight of the temporary tower model; the weight of the initial tower model can be substituted into the third functional relationship to obtain the tower frequency corresponding to the weight of the initial tower model. The difference between the tower frequency corresponding to the weight of the temporary tower model and the tower frequency corresponding to the weight of the initial tower model can be calculated first, and the ratio of the difference to the tower frequency corresponding to the weight of the initial tower model is determined as the tower frequency deviation. The tower frequency difference can reflect whether the load of the temporary tower model has convergence.

[0153] In step S3033, when the tower frequency deviation does not meet the frequency convergence requirement, the expected load parameters of the tower end face are corrected according to the fourth functional relationship between the tower frequency deviation and the expected load parameters of the tower end face obtained by pre-fitting.

[0154] The frequency convergence requirement can be used to determine whether the tower frequency difference is convergent. In some examples, the frequency convergence requirement may include that the tower frequency difference is less than a frequency difference threshold, and the frequency difference threshold may be set according to scenarios, requirements, experience, etc. For example, the frequency difference threshold may be 3%, which is not limited here.

[0155] The fourth functional relationship is the functional relationship between the tower frequency deviation and the expected load parameter of the tower section end face, which can be obtained by pre-fitting the false frequency difference of multiple tower models composed of module models with different expected load parameters of the tower section end face and boundary load parameters in the module model database that are greater than and close to the expected load parameters of the tower section end face. In an embodiment of the present application, the tower frequency deviation of the temporary tower model and the initial tower model can be substituted into the fourth functional relationship, and the obtained expected load parameter of the tower section end face is the corrected expected load parameter of the tower section end face. The corrected expected load parameter of the tower section end face is different from the expected load parameter of the tower section end face before correction. In some examples, the corrected expected load parameter of the tower section end face is greater than the expected load parameter of the tower section end face before correction.

[0156] In step S3034, a temporary tower model is regenerated according to the modified expected load parameters of the tower segment end face, until the tower frequency difference between the regenerated temporary tower model and the last generated temporary tower model meets the frequency convergence requirement.

[0157] In the module model database, a module model whose boundary load parameters and the corrected expected load parameters of the tower section end face meet the predetermined conditions can be selected, and the module models that meet the predetermined conditions are combined into a new temporary tower model. According to the weight of the new temporary tower model, the weight of the temporary tower model generated last time and the third functional relationship, the tower frequency deviation between the new temporary tower model and the temporary tower model generated last time is obtained, and it is judged whether the tower frequency deviation obtained this time meets the frequency convergence requirement. If the tower frequency deviation obtained this time does not meet the above frequency convergence requirement, the above process is repeated until the tower frequency deviation between the newly generated temporary tower model and the temporary tower model generated last time meets the frequency convergence requirement, and the temporary tower model is determined as the tower model.

[0158] In the embodiment of the present application, the tower frequency determination process of the tower model can be directly obtained through the third functional relationship, without the need for a complex analysis process between the tower weight and the tower frequency, which can further improve the generation efficiency of the tower model; the correction process of the expected load parameters of the tower section end face can be directly corrected through the fourth functional relationship, and then the module model database and the corrected expected load parameters of the tower section end face are used to reselect the module model and generate the tower model. In this process, there is no need to re-perform the load iteration design process for the module model, which can save a lot of time and further improve the generation efficiency of the tower model.

[0159] In some embodiments, multiple tower models can be generated in advance based on the module model database, and the weight and tower frequency of the multiple tower models, as well as the end face load parameters of one tower section of the multiple tower models, are used to fit the third functional relationship and the fourth functional relationship, so that in the process of frequency verification of the tower model, the tower frequency of the tower model can be quickly obtained and the expected load parameters of the tower section end face can be quickly corrected. Specifically, based on the tower type parameters, the multiple sets of tower section end face load parameters obtained, and the module model database, the tower model corresponding to each set of tower section end face load parameters can be generated; the tower frequency of each tower model is calculated according to the weight of the tower model corresponding to each set of tower section end face load parameters; the third functional relationship and the fourth functional relationship are fitted according to the multiple sets of tower section end face load parameters, the weight of the tower model, and the tower frequency of the tower model.

[0160] Multiple groups of tower section end load parameters can be preset, and each group of tower section end load parameters can correspond to a tower model. In some examples, multiple groups of tower section end load parameters can be set according to the weight of the tower model that can be generated, so that the weights of any two tower models with adjacent weights are equal. For example, the weight of the tower model corresponding to each group of tower section end load parameters is increased by 1% relative to the weight of the tower model corresponding to the previous group of tower section end load parameters. The content of generating the tower model based on the tower type parameters, multiple groups of tower section end load parameters and the module model database can refer to the relevant descriptions of steps S301 to S303 in the above embodiment and other relevant descriptions, which will not be repeated here.

[0161] There is a corresponding relationship between the above-mentioned multiple sets of tower section end surface load parameters, the weight of the tower model and the tower frequency of the tower model. For example, the corresponding relationship between the multiple sets of tower section end surface load parameters, the weight of the tower model and the tower frequency of the tower model can be expressed as the following formula (21):

[0162]

[0163] Among them, m i is the weight of the tower model; Freq i is the tower frequency of the tower model; Load i is the tower section end load parameter corresponding to the tower model.

[0164] The third functional relationship can be obtained by fitting according to the weight of the tower model and the tower frequency of the tower model using a fitting algorithm. For example, the third functional relationship can be shown in the following formula (22):

[0165] Freq i =fumc1(m i ) (twenty two)

[0166] Among them, func1() is the third function relationship; the description of other parameters can be found in the relevant description of the parameters in formula (21), which will not be repeated here.

[0167] The tower frequency deviation between different tower models can be calculated, and the fourth functional relationship can be obtained by fitting according to the tower frequency deviation and the tower end load parameter corresponding to the tower model using a fitting algorithm. For example, the fourth functional relationship can be shown in the following formula (23):

[0168]

[0169] Among them, Load i and Load i-1 is the tower end load parameter, Load i It can be regarded as the expected load parameter of the tower end after correction. i-1is the expected load parameter of the tower end before correction; ΔFreq i is the tower frequency deviation; k1 and k2 are correction coefficients. In some examples, k1 and k2 are both greater than 1; f 1 and f 2 For different frequency deviation values, in some examples, f 1 It can be the frequency difference threshold in the above embodiment.

[0170] The fitting algorithm in the above embodiment may adopt the least square method or other fitting algorithms, which are not limited here.

[0171] By pre-fitting the third functional relationship and the fourth functional relationship, the tower frequency verification can be quickly completed during the tower model generation process, and when the tower frequency deviation does not meet the frequency convergence requirements, the expected load parameters of the tower section end face can be quickly corrected, thereby quickly obtaining a tower model that meets the frequency convergence requirements, simplifying the tower design process, shortening the tower design cycle, and further improving the tower design efficiency.

[0172] The second aspect of the present application provides a computer-readable storage medium, on which a computer program instruction is stored. When the computer program instruction is executed by a processor, the tower model generation method of the wind turbine generator set in the above-mentioned embodiment can be implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. Among them, the above-mentioned computer-readable storage medium may include a non-transitory computer-readable storage medium, such as a read-only memory (Read-Only Memory, referred to as ROM), a random access memory (Random Access Memory, referred to as RAM), a disk or an optical disk, etc., which is not limited here.

[0173] The embodiment of the present application can provide a tower model generating device for a wind turbine generator set. Fig.10 This is a schematic diagram of the structure of a tower model generation device for a wind turbine generator set provided in an embodiment of the present application. Fig.10 As shown, a tower model generating device 400 of a wind turbine generator set includes a memory 401 , a processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0174] In some examples, the processor 402 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0175] The memory 401 may include a read-only memory (ROM), a random access memory (RAM), a disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Therefore, generally, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer executable instructions, and when the software is executed (e.g., by one or more processors), it can be operated to perform the operations described with reference to the tower model generation method of the wind turbine generator set in the embodiment of the present application.

[0176] The processor 402 runs a computer program corresponding to the executable program code by reading the executable program code stored in the memory 401 , so as to implement the tower model generation method of the wind turbine generator set in the above embodiment.

[0177] In some examples, the tower model generation device 400 may further include a communication interface 403 and a bus 404. Fig.10 As shown, the memory 401, the processor 402, and the communication interface 403 are connected via a bus 404 and communicate with each other.

[0178] The communication interface 403 is mainly used to realize the communication between the modules, devices, units and / or equipment in the embodiment of the present application. The input device and / or output device can also be accessed through the communication interface 403.

[0179] The bus 404 includes hardware, software or both, and couples the components of the tower model generation device 400 of the wind turbine generator set to each other. For example, but not limitation, the bus 404 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnection, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnection, a Low Pin Count (LPC) bus, a Memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-E) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 404 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0180] An embodiment of the present application may provide a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the tower model generation method of the wind turbine generator set in the above embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0181] It should be clear that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. For device embodiments, computer-readable storage medium embodiments, and computer program product embodiments, the relevant parts can refer to the description part of the method embodiment. The present application is not limited to the specific steps and structures described above and shown in the figures. Those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application. In addition, for the sake of brevity, a detailed description of known method technologies is omitted here.

[0182] The above reference is according to the method of the embodiment of the present application, the flow chart of the device (system) and the computer program product and / or the block diagram described various aspects of the present application.It should be understood that each square box in the flow chart and / or the block diagram and the combination of each square box in the flow chart and / or the block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the realization of the function / action specified in one or more square boxes of the flow chart and / or the block diagram.Such a processor can be but is not limited to a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit.It can also be understood that each square box in the block diagram and / or the flow chart and the combination of the square boxes in the block diagram and / or the flow chart can also be realized by the dedicated hardware that performs the specified function or action, or can be realized by the combination of dedicated hardware and computer instructions.

[0183] Those skilled in the art should understand that the above embodiments are exemplary rather than restrictive. Different technical features appearing in different embodiments can be combined to achieve beneficial effects. Based on the study of the drawings, the specification and the claims, those skilled in the art should be able to understand and implement other variations of the disclosed embodiments. In the claims, the term "comprising" does not exclude other devices or steps; the quantifier "one" does not exclude multiple; the terms "first" and "second" are used to indicate names rather than to indicate any specific order. Any figure marks in the claims should not be understood as limiting the scope of protection. The functions of multiple parts appearing in the claims can be implemented by a single hardware or software module. The appearance of certain technical features in different dependent claims does not mean that these technical features cannot be combined to achieve beneficial effects.

Claims

1. A method for generating a tower model of a wind turbine generator set, characterized in that: include: According to predetermined expected tower type parameters, determining a module model database corresponding to the expected tower type parameters, The module model database includes module models, structural parameters of the module models and boundary load parameters of the module models, wherein the structural parameters of the module models are determined based on weight parameters corresponding to the module models and material properties of the module models, and the boundary load parameters of the module models are determined based on the structural parameters of the module models, a load parameter range supported by a pre-built initial tower model and a safety condition of the module models; In the module model database, a module model whose boundary load parameter and a predetermined tower section end face expected load parameter meet predetermined conditions is selected; A tower model is generated based on the module models that meet the predetermined conditions.

2. The method according to claim 1, characterized in that The tower segment end face expected load parameters have more than two types and correspond to the types of boundary load parameters, the module model database includes more than two sub-databases, each sub-database includes a module model and structural parameters and boundary load parameters of the model module; The module model whose boundary load parameters and tower segment end face expected load parameters satisfy predetermined conditions is selected from the module model database, including: In each sub-database, for each boundary load parameter, a module model whose boundary load parameter is greater than and close to the corresponding expected load parameter of the tower section end face is obtained; Among the module models obtained corresponding to the plurality of boundary load parameters, one with a larger weight is determined as the module model satisfying the predetermined condition.

3. The method according to claim 1, characterized in that Also includes: For each module model, multiple groups of module models are generated according to different weight difference thresholds, and different groups of module models correspond to different weight difference thresholds; According to the structural parameters and material properties of each group of module models and the preset material property model, the material property redundancy corresponding to each group of module models is obtained; The module models whose material property redundancy meets the required conditions and the structural parameters of the module models are added to the module model database.

4. The method according to claim 1, characterized in that The safety condition is related to the safety threshold, and the structural parameters include non-variable parameters and variable parameters. The method further comprises: Acquire multiple load parameters from a load parameter range supported by the initial tower model; Based on the acquired multiple load parameters, non-variable parameters and a predetermined safety threshold, variable parameters corresponding to the multiple load parameters are obtained; According to the load parameter, the obtained variable parameter, the safety threshold and the structural parameters of the module model, a first functional relationship between the load parameter and the variable parameter is obtained by fitting; The boundary load parameters of the module model are determined according to the variable parameters of the module model and the first functional relationship.

5. The method according to claim 4, characterized in that The fitting of obtaining a first functional relationship between the load parameter and the variable parameter according to the load parameter, the obtained value of the variable parameter, the safety threshold and the structural parameter of the module model includes: Based on the load parameter and the obtained variable parameter, a second functional relationship between the load parameter and the variable parameter is obtained by fitting; Obtaining safety evaluation parameters according to the structural parameters of the module model and the second functional relationship; If the safety evaluation parameter does not meet the standard safety threshold, adjusting the safety threshold referenced by the second functional relationship; Based on the acquired multiple load parameters, non-variable parameters, and adjusted safety thresholds, the second functional relationship is refitted until the safety evaluation parameters corresponding to the second functional relationship meet the standard safety thresholds, and the second functional relationship is determined as the first functional relationship.

6. The method according to claim 5, characterized in that The step of obtaining the safety evaluation parameter according to the structural parameter of the module model and the second functional relationship includes: Obtaining a first load parameter according to the structural parameter of the module model and the second functional relationship; The safety evaluation parameter is obtained according to the first load parameter and the structural parameter of the model module.

7. The method according to claim 1, characterized in that The generating of the tower model based on the module model satisfying the predetermined condition comprises: Combining module models that meet predetermined conditions to generate a temporary tower model; Obtaining a tower frequency deviation between the temporary tower model and the initial tower model according to the weight of the temporary tower model, the weight of the initial tower model, and a third functional relationship between the weight and the tower frequency obtained by pre-fitting; When the tower frequency deviation does not meet the frequency convergence requirement, the tower section end face expected load parameter is corrected according to a fourth functional relationship between the tower frequency deviation and the tower section end face expected load parameter obtained by pre-fitting; The temporary tower model is regenerated according to the corrected expected load parameters of the tower section end face until the tower frequency deviation between the regenerated temporary tower model and the last generated temporary tower model meets the frequency convergence requirement.

8. The method according to claim 7, characterized in that Also includes: Based on the tower type parameters, the acquired multiple groups of tower section end face load parameters and the module model database, a tower model corresponding to each group of tower section end face load parameters is generated; Calculate the tower frequency of each tower model according to the weight of the tower model corresponding to each group of tower section end load parameters; The third functional relationship and the fourth functional relationship are obtained by fitting according to a plurality of groups of tower section end face load parameters, the weight of the tower model and the tower frequency of the tower model.

9. The method according to any one of claims 1 to 8, characterized in that The module model includes tower section model, door structure model and flange model; The boundary load parameters include boundary limit load parameters and boundary fatigue load parameters; Boundary fatigue load parameters include boundary fatigue range load parameters and boundary fatigue mean load parameters.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the method for generating a tower model of a wind turbine generator set according to any one of claims 1 to 9 is implemented.

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