CN113868927A - Double-wind-wheel fan tower barrel optimization design method and system - Google Patents

Double-wind-wheel fan tower barrel optimization design method and system Download PDF

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CN113868927A
CN113868927A CN202111203332.6A CN202111203332A CN113868927A CN 113868927 A CN113868927 A CN 113868927A CN 202111203332 A CN202111203332 A CN 202111203332A CN 113868927 A CN113868927 A CN 113868927A
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刘亚娟
方钊
房方
胡阳
张文广
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North China Electric Power University
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Abstract

The invention relates to a method and a system for optimally designing a tower barrel of a double-wind-wheel fan, which are based on an actual tower barrel model, determine design variables, objective functions and constraint conditions of optimally designed tower barrels, establish an optimized tower barrel model and provide a particle swarm calculation-based method for optimally designing tower barrels. For traditional tower section of thick bamboo design, can effectively alleviate the quality of a tower section of thick bamboo on guaranteeing that a tower section of thick bamboo satisfies the basis of safety and stability operation, reduce the whole manufacturing cost of fan unit to promote market competition.

Description

Double-wind-wheel fan tower barrel optimization design method and system
Technical Field
The invention relates to the technical field of tower barrel optimization, in particular to a method and a system for optimally designing a double-wind-wheel fan tower barrel.
Background
The tower barrel is a key component of the double-wind-wheel wind turbine generator set. The tower drum has the function of supporting the wind power generation system in the air, is connected with the foundation, bears various loads caused by the operation of the wind power generation system, and transmits the loads to the foundation, so that the whole wind power generation unit can stably and reliably operate.
The quality and the manufacturing cost of the tower drum of the double-wind-wheel fan are closely related, according to a statistical result, the quality of the tower drum accounts for about 50% of the total mass of the fan, and the manufacturing cost of the tower drum accounts for about 15% -20% of the total cost of the double-wind-wheel fan. The market competitive pressure of the existing double-wind wheel fan is high, the overall manufacturing cost is required to be reduced, the enterprise competitiveness is improved, the quality of the tower barrel can be reduced by optimally designing the tower barrel, and therefore the manufacturing cost is reduced.
The fan tower barrel optimization design method based on ANSYS software is provided in the prior art, has a good optimization effect, and is low in optimization efficiency. The prior art also provides a wind turbine tower cylinder based on a random direction method, an analytic method and a numerical approximation solution are organically combined, finite element analysis software is not needed in the optimization process, the optimization process is simple, but initial value selection of design variables has large influence on the optimization result and is easy to fall into local optimization.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method and a system for optimally designing a tower of a double-wind-wheel fan.
In order to achieve the purpose, the invention provides the following scheme:
a double-wind-wheel fan tower barrel optimization design method comprises the following steps:
acquiring the diameter of the bottom, the diameter of the top and the wall thickness of a tower cylinder of the double wind wheel fan; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
determining constraint conditions according to the stress information, the frequency information and the boundary information of the tower barrel of the double-wind-wheel fan;
and optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
Preferably, the constructing an optimization function of the mass of the tower of the dual wind turbine according to the bottom diameter, the top diameter and the wall thickness includes:
acquiring the density and the height of the tower drum of the double-wind-wheel fan;
calculating the volume of the double-wind-wheel fan tower cylinder according to the bottom diameter, the top diameter, the wall thickness and the height;
and constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
Preferably, the calculation formula of the optimization function is:
Figure BDA0003305871430000021
where ρ is the density, D is the bottom diameter, D is the top diameter, δ is the wall thickness, H is the height, fminIs the optimization function.
Preferably, determining constraint conditions according to the stress information, the frequency information and the boundary information of the double-wind-wheel fan tower includes:
calculating the maximum stress of the tower barrel according to the stress information and the height;
constructing a strength constraint condition according to the maximum stress of the tower barrel and the yield stress of a preset material;
constructing a natural frequency constraint condition according to the frequency information and the height;
constructing the boundary constraint condition according to the boundary information; the constraints include a strength constraint, the natural frequency constraint, and the boundary constraint.
Preferably, the calculation formula of the maximum stress of the tower barrel is as follows:
Figure BDA0003305871430000022
σmaxfor maximum tower stress, FasThe main wind wheel is subjected to pneumatic thrust; ftsThe wind pressure borne by the tower barrel; h is the distance from the center of the main impeller to the top of the tower; h is the height; a is the sectional area of the root of the tower; g1Is the machine head gravity; g2Is the tower drum gravity; psi is the length reduction factor of the conical tower.
Preferably, the formula of the strength constraint is:
g1(x)＝σmax-[σ]≤0
g1(x) For the strength constraint, [ sigma ]]Is the yield stress of the material.
Preferably, the natural frequency constraint is formulated as:
g2(x)＝(1+10％)fn-f≤0
g3(x)＝f-3(1-10％)fn≤0
wherein, g2(x)、g3(x) Are all the natural frequency constraints; f is the natural frequency of the first-order bending vibration of the tower; f. ofnThe rotation frequency of the main wind wheel; the calculation formula of the first-order bending vibration natural frequency is as follows:
Figure BDA0003305871430000031
wherein E is the elastic modulus of the tower tube material; i is a section moment of inertia; h is the height; m is1The machine head mass; m is2The tower mass.
Preferably, the boundary constraint condition comprises a tower transportation constraint condition g4(x) Thickness constraint condition g of steel plate for tower drum5(x)、g6(x) And top yaw bearing installation size constraint condition g7(x) And tower shape dimension g8(x) (ii) a Wherein the formula of the boundary constraint condition is:
g4(x)＝x1-Dmax≤0
g5(x)＝x3-δmax≤0
g6(x)＝δmin-x3≤0
g7(x)＝dmin-x2≤0
g8(x)＝x2-x1≤0
Dmaxthe maximum allowable diameter value for road transportation; deltamaxThe maximum thickness of the steel plate used by the tower barrel; deltaminThe minimum thickness of a steel plate used for a tower barrel; dminIs the minimum value of the diameter series of the top yaw bearing; x is the number of1Is a first independent variable, the value of which is the value of the bottom diameter, x2Is a second independent variable, the value of the second independent variable being the value of the top diameter, x3Is a third independent variable, the value of which is the value of the wall thickness.
A double-wind-wheel fan tower optimization design system comprises:
the variable acquisition module is used for acquiring the bottom diameter, the top diameter and the wall thickness of the double-wind-wheel fan tower; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
the function building module is used for building an optimization function of the quality of the tower cylinder of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
the boundary determining module is used for determining constraint conditions according to the stress information, the frequency information and the boundary information of the double-wind-wheel fan tower;
and the optimization module is used for optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
Preferably, the function building module specifically includes:
the acquiring unit is used for acquiring the density and the height of the double-wind-wheel fan tower;
the volume calculation unit is used for calculating the volume of the tower barrel of the double-wind-wheel fan according to the bottom diameter, the top diameter, the wall thickness and the height;
and the construction unit is used for constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a method and a system for optimally designing a tower barrel of a double-wind-wheel fan, which are based on an actual tower barrel model, determine design variables, objective functions and constraint conditions of optimally designing the tower barrel, establish a tower barrel optimal model and provide a method for optimally designing the tower barrel based on particle swarm calculation. For traditional tower section of thick bamboo design, can effectively alleviate the quality of a tower section of thick bamboo on guaranteeing that a tower section of thick bamboo satisfies the basis of safety and stability operation, reduce the whole manufacturing cost of fan unit to promote market competition.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flowchart of a method for optimally designing a tower of a dual wind turbine in an embodiment of the present invention;
FIG. 2 is a schematic view of a tower model in accordance with an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a particle swarm algorithm in an embodiment of the present invention;
FIG. 4 is a block diagram of a dual wind turbine tower optimization design system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, the inclusion of a list of steps, processes, methods, etc. is not limited to only those steps recited, but may alternatively include additional steps not recited, or may alternatively include additional steps inherent to such processes, methods, articles, or devices.
The invention aims to provide an optimal design method and system for a double-wind-wheel fan tower, which can effectively reduce the quality of the tower and the overall manufacturing cost of a fan unit on the basis of ensuring that the tower meets the requirement of safe and stable operation, thereby improving the market competitiveness.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a flowchart of a method for optimally designing a tower of a dual wind wheel wind turbine in an embodiment provided by the present invention, and as shown in fig. 1, the present invention provides a method for optimally designing a tower of a dual wind wheel wind turbine, including:
step 100: acquiring the diameter of the bottom, the diameter of the top and the wall thickness of a tower cylinder of the double wind wheel fan; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
step 200: constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
step 300: determining constraint conditions according to the stress information, the frequency information and the boundary information of the tower barrel of the double-wind-wheel fan;
step 400: and optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
Alternatively, the tower may be classified into a guyed tower, a trussed tower, and a cone tower according to the structure. The cone tower can be divided into a steel tower, a steel-concrete combined tower and a steel cylinder clamping-concrete tower. The structure selected in the embodiment is a cone tower.
Furthermore, the steel tower is rolled by adopting a plurality of sections of steel plates with better strength and plasticity, is butt-welded into a truncated cone type cylinder, and two ends of the truncated cone type cylinder are welded with the flange plate to form a truncated cone tower. Irregular components or system layouts such as a tower ladder, safety facilities, cables and the like are contained in the cylinder, various necessary control and monitoring devices can be arranged in the bottom space of the truncated cone tower cylinder, and the wind generating set can improve the attractiveness of the appearance layout by adopting a cone tower cylinder structure.
Specifically, the tower barrel is a main bearing component of the tower frame. The vibration of the tower is a problem to be considered in the maintenance of the wind power generation. The magnitude of the amplitude is related to the excitation frequency and the natural frequency of the tower. The difference between the first-order natural frequency of the tower and the forced vibration frequency N and the value of the Nn must exceed more than 10 percent of the forced vibration frequency N and the value of the Nn so as to avoid resonance (N is the revolution per second of the wind wheel, and N is the number of the main wind wheel blades).
As an alternative embodiment, for a double-rotor wind turbine generator set with three blades as the main rotor, the natural frequency of the tower-nacelle system is more than 3n, which is called as a 'rigid tower'; between n and 3n, referred to as a "semi-rigid tower"; a system with natural frequency below n is a "soft tower". The more rigid the tower, the higher the mass and cost. At present, a semi-rigid tower is mostly adopted by a large wind turbine.
In this embodiment, it is determined that a double-wind-wheel fan tower cylinder adopts a tapered steel cylinder structure, and the structure is shown in fig. 1, where D in fig. 1 is a diameter of the bottom of the tower cylinder, D is a diameter of the top of the tower cylinder, and δ is1The wall thickness of the tower top, delta2The wall thickness of the bottom of the tower barrel is H, and the height of the tower barrel is H.
Specifically, in the tower optimization design process, the height is regarded as a known value. The bottom wall thickness and the top wall thickness are considered equal.
In this embodiment, the diameter D of the bottom, the diameter D of the top, and the wall thickness δ of the tower are selected. By x1、x2、x3Respectively D, D and delta, i.e. the variable X ═ D, D, delta]＝[x1,x2,x3]。
Preferably, the step 200 comprises:
acquiring the density and the height of the tower drum of the double-wind-wheel fan;
calculating the volume of the double-wind-wheel fan tower cylinder according to the bottom diameter, the top diameter, the wall thickness and the height;
and constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
Preferably, the calculation formula of the optimization function is:
Figure BDA0003305871430000071
where ρ is the density, D is the bottom diameter, D is the top diameter, δ is the wall thickness, H is the height, fminIs the optimization function.
Optionally, the tower mass is equal to the volume multiplied by the density ρ. Optimization objective function f of tower drum qualityminCan be expressed as:
Figure BDA0003305871430000072
preferably, determining constraint conditions according to the stress information, the frequency information and the boundary information of the double-wind-wheel fan tower includes:
calculating the maximum stress of the tower barrel according to the stress information and the height;
constructing a strength constraint condition according to the maximum stress of the tower barrel and the yield stress of a preset material;
constructing a natural frequency constraint condition according to the frequency information and the height;
constructing the boundary constraint condition according to the boundary information; the constraints include a strength constraint, the natural frequency constraint, and the boundary constraint.
Preferably, the calculation formula of the maximum stress of the tower barrel is as follows:
Figure BDA0003305871430000073
σmaxfor maximum tower stress, FasThe main wind wheel is subjected to pneumatic thrust; ftsThe wind pressure borne by the tower barrel; h is the distance from the center of the main impeller to the top of the tower; h is the height; a is the sectional area of the root of the tower; g1Is the machine head gravity; g2Is the tower drum gravity; psi is the length reduction factor of the conical tower.
Preferably, the formula of the strength constraint is:
g1(x)＝σmax-[σ]≤0
g1(x) For the strength constraint, [ sigma ]]Is the yield stress of the material.
Specifically, the external load that a tower section of thick bamboo receives under extreme operating mode is the biggest, in order to ensure that a tower section of thick bamboo does not topple over, tower section of thick bamboo maximum stress sigma under the external load effectmaxShould be less than the yield stress [ sigma ] of the material]. Maximum stress sigma of towermaxTypically at the root of the tower. Maximum stress sigma at the tower rootmaxThe calculation formula is as follows:
Figure BDA0003305871430000074
in the formula, FasThe main wind wheel is subjected to pneumatic thrust; ftsThe wind pressure borne by the tower barrel; h is the distance from the center of the main impeller to the top of the tower; h is the height of the tower; a is the sectional area of the root of the tower; g1Is the machine head gravity; g2Is the tower drum gravity; psi is the length reduction factor of the conical tower.
The intensity calculation formula is:
Figure BDA0003305871430000081
preferably, the natural frequency constraint is formulated as:
g2(x)＝(1+10％)fn-f≤0
g3(x)＝f-3(1-10％)fn≤0
wherein, g2(x)、g3(x) Are all the natural frequency constraints; f is the natural frequency of the first-order bending vibration of the tower; f. ofnThe rotation frequency of the main wind wheel; the calculation formula of the first-order bending vibration natural frequency is as follows:
Figure BDA0003305871430000082
wherein E is the elastic modulus of the tower tube material; i is a section moment of inertia; h is the height; m is1The machine head mass; m is2The tower mass.
In this embodiment, in order to ensure the safety and the economy of the dual wind wheel wind turbine, the tower is designed to be a semi-rigid tower, and the first-order bending vibration natural frequency f of the tower is between the rotation frequency f of the main wind wheelnAnd blade passing frequency 3fnAnd the safety margin β is greater than 10%, defined as follows:
Figure BDA0003305871430000083
wherein k is 1 or 3. The calculation formula of the first-order bending vibration natural frequency f of the tower barrel is as follows:
Figure BDA0003305871430000084
preferably, the boundary constraint condition comprises a tower transportation constraint condition g4(x) Thickness constraint condition g of steel plate for tower drum5(x)、g6(x) And top yaw bearing installation size constraint condition g7(x) And tower shape dimension g8(x) (ii) a Wherein the formula of the boundary constraint condition is:
g4(x)＝x1-Dmax≤0
g5(x)＝x3-δmax≤0
g6(x)＝δmin-x3≤0
g7(x)＝dmin-x2≤0
g8(x)＝x2-x1≤0
Dmaxthe maximum allowable diameter value for road transportation; deltamaxThe maximum thickness of the steel plate used by the tower barrel; deltaminThe minimum thickness of a steel plate used for a tower barrel; dminIs the minimum value of the diameter series of the top yaw bearing; x is the number of1Is a first independent variable, the value of which is the value of the bottom diameter, x2Is a second independent variable, the value of the second independent variable being the value of the top diameter, x3Is a third independent variable, the value of which is the value of the wall thickness.
Fig. 3 is a schematic flow diagram of a particle swarm algorithm in the embodiment of the present invention, and as shown in fig. 3, the embodiment uses the particle swarm algorithm to perform optimization design on a tower, and the steps include: initializing the velocity and position of the particle → calculating the adaptive value of the particle → obtaining the individual optimal value of the particle → obtaining the global optimal value of the population → optimizing the velocity of the particle → optimizing the position of the particle → satisfying the constraint → outputting the result. In this embodiment, if the optimized particle position does not satisfy the constraint condition, the step of "calculating the particle adaptive value" needs to be returned again.
Optionally, after the step of optimizing the optimization function based on the particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan, the method further comprises verifying the effectiveness of the optimization design method of the tower cylinder of the double-wind-wheel fan based on the particle swarm algorithm. The verification results are shown in table 1.
TABLE 1
Figure BDA0003305871430000091
Figure BDA0003305871430000101
Under the condition of meeting the constraint condition, the particle swarm algorithm is suitable for optimization design of the tower barrel, and compared with the traditional scheme, the mass of the tower barrel can be reduced by about 20.24%.
Fig. 4 is a module connection diagram of a dual wind turbine fan tower optimization design system in an embodiment provided by the present invention, and as shown in fig. 4, the embodiment further provides a dual wind turbine fan tower optimization design system, including:
the variable acquisition module is used for acquiring the bottom diameter, the top diameter and the wall thickness of the double-wind-wheel fan tower; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
the function building module is used for building an optimization function of the quality of the tower cylinder of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
the boundary determining module is used for determining constraint conditions according to the stress information, the frequency information and the boundary information of the double-wind-wheel fan tower;
and the optimization module is used for optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
Preferably, the function building module specifically includes:
the acquiring unit is used for acquiring the density and the height of the double-wind-wheel fan tower;
the volume calculation unit is used for calculating the volume of the tower barrel of the double-wind-wheel fan according to the bottom diameter, the top diameter, the wall thickness and the height;
and the construction unit is used for constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
The invention has the following beneficial effects:
the design method of the wind turbine tower can be optimized, relevant parameters of the tower are optimized through the particle swarm optimization, the purpose of reducing the weight of the tower is achieved, the overall manufacturing cost of the wind turbine unit is reduced, and therefore market competitiveness is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (10)

1. The optimal design method for the tower barrel of the double-wind-wheel fan is characterized by comprising the following steps of:
acquiring the diameter of the bottom, the diameter of the top and the wall thickness of a tower cylinder of the double wind wheel fan; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
determining constraint conditions according to the stress information, the frequency information and the boundary information of the tower barrel of the double-wind-wheel fan;
and optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
2. The method of claim 1, wherein constructing the optimization function of the mass of the dual wind turbine tower from the bottom diameter, the top diameter, and the wall thickness comprises:
acquiring the density and the height of the tower drum of the double-wind-wheel fan;
calculating the volume of the double-wind-wheel fan tower cylinder according to the bottom diameter, the top diameter, the wall thickness and the height;
and constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
3. The method of claim 2, wherein the optimization function is calculated by the formula:
Figure FDA0003305871420000011
where ρ is the density, D is the bottom diameter, D is the top diameter, δ is the wall thickness, H is the height, fminIs the optimization function.
4. The method of claim 2, wherein determining constraint conditions according to the stress information, the frequency information, and the boundary information of the dual-wind-wheel wind turbine tower comprises:
calculating the maximum stress of the tower barrel according to the stress information and the height;
constructing a strength constraint condition according to the maximum stress of the tower barrel and the yield stress of a preset material;
constructing a natural frequency constraint condition according to the frequency information and the height;
constructing the boundary constraint condition according to the boundary information; the constraints include a strength constraint, the natural frequency constraint, and the boundary constraint.
5. The method for optimally designing the tower of the double-wind-wheel wind turbine as claimed in claim 4, wherein the calculation formula of the maximum stress of the tower is as follows:
Figure FDA0003305871420000021
σmaxfor maximum tower stress, FasThe main wind wheel is subjected to pneumatic thrust; ftsThe wind pressure borne by the tower barrel; h is the distance from the center of the main impeller to the top of the tower; h is the height; a is the sectional area of the root of the tower; g1Is the machine head gravity; g2Is the tower drum gravity; psi is the length reduction factor of the conical tower.
6. The method of claim 5, wherein the strength constraint is formulated as:
g1(x)＝σmax-[σ]≤0
g1(x) For the strength constraint, [ sigma ]]Is the yield stress of the material.
7. The method of claim 4, wherein the natural frequency constraints are formulated as:
g2(x)＝(1+10％)fn-f≤0
g3(x)＝f-3(1-10％)fn≤0
wherein, g2(x)、g3(x) Are all the natural frequency constraints; f is the natural frequency of the first-order bending vibration of the tower; f. ofnThe rotation frequency of the main wind wheel; the calculation formula of the first-order bending vibration natural frequency is as follows:
Figure FDA0003305871420000022
wherein E is the elastic modulus of the tower tube material; i is a section moment of inertia; h is the height; m is1The machine head mass; m is2The tower mass.
8. The method of claim 4, wherein the boundary constraints include a tower transport constraint g4(x) Thickness constraint condition g of steel plate for tower drum5(x)、g6(x) And top yaw bearing installation size constraint condition g7(x) And tower shape dimension g8(x) (ii) a Wherein the formula of the boundary constraint condition is:
g4(x)＝x1-Dmax≤0
g5(x)＝x3-δmax≤0
g6(x)＝δmin-x3≤0
g7(x)＝dmin-x2≤0
g8(x)＝x2-x1≤0
Dmaxthe maximum allowable diameter value for road transportation; deltamaxThe maximum thickness of the steel plate used by the tower barrel; deltaminThe minimum thickness of a steel plate used for a tower barrel; dminIs the minimum value of the diameter series of the top yaw bearing; x is the number of1Is a first independent variable, the value of which is the value of the bottom diameter, x2Is a second independent variable, the value of the second independent variable being the value of the top diameter, x3Is a third independent variable, the value of which is the value of the wall thickness.
9. The utility model provides a two wind wheel fan tower section of thick bamboo optimal design systems which characterized in that includes:
the variable acquisition module is used for acquiring the bottom diameter, the top diameter and the wall thickness of the double-wind-wheel fan tower; the double-wind wheel fan tower cylinder is in a conical steel cylinder structure;
the function building module is used for building an optimization function of the quality of the tower cylinder of the double-wind-wheel fan according to the bottom diameter, the top diameter and the wall thickness;
the boundary determining module is used for determining constraint conditions according to the stress information, the frequency information and the boundary information of the double-wind-wheel fan tower;
and the optimization module is used for optimizing the optimization function based on a particle swarm algorithm according to the constraint condition to obtain the optimized quality of the tower cylinder of the double-wind-wheel fan.
10. The system of claim 9, wherein the function building module specifically comprises:
the acquiring unit is used for acquiring the density and the height of the double-wind-wheel fan tower;
the volume calculation unit is used for calculating the volume of the tower barrel of the double-wind-wheel fan according to the bottom diameter, the top diameter, the wall thickness and the height;
and the construction unit is used for constructing an optimization function of the tower cylinder mass of the double-wind-wheel fan according to the density and the volume.
CN202111203332.6A 2021-10-15 2021-10-15 Double-wind-wheel fan tower barrel optimization design method and system Pending CN113868927A (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109707571A (en) * 2018-12-07 2019-05-03 山东中车风电有限公司 Wind turbines hyperbolic-type tower design method and tower based on frequency control

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109707571A (en) * 2018-12-07 2019-05-03 山东中车风电有限公司 Wind turbines hyperbolic-type tower design method and tower based on frequency control

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘喆等: "基于遗传算法的风机塔筒优化设计", 《湖南工程学院学报(自然科学版)》 *

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