Method for optimizing the dimensions of the components of a floating wind turbine platform

Abstract

The present application belongs to the technical field of floating wind turbine optimization, and discloses a method for optimizing the shape and size of each component of a floating wind turbine platform, which comprises the following steps: first frequency domain analysis of a series of models of the floating wind turbine platform is completed based on a potential flow calculation method, structural stiffness, added mass and added rotational inertia data in the result data are extracted, critical damping of the series of models of the floating wind turbine platform is calculated, and a viscous correction term is added to an added damping coefficient matrix; second frequency domain analysis and time domain calculation of the series of models of the floating wind turbine platform are completed based on a potential flow method combined with a catenary method, and hydrodynamic motion data are extracted; the calculation result is optimized, and a high-stability structure design suggestion is given. The extreme value change law with each main scale information is summarized in a form of a chart, and a regularity summary and an optimization design suggestion for the shape and size of each component of the high-stability structure are given.

Description

Technical Field

[0001] This invention relates to the field of floating wind turbine optimization technology, and more specifically, to a method for optimizing the external dimensions of various components of a floating wind turbine platform. Background Technology

[0002] When floating platforms of floating wind turbine systems face the complex combined effects of wind, waves, and currents in the marine environment, relying solely on their own restoring forces and mooring systems to achieve stability during operation poses a significant challenge to the floating foundation. Therefore, the design of a stable floating foundation determines the lifespan and long-term operation of the floating wind turbine. Currently, some research has focused on optimizing the floating foundation of wind turbines. For example, patent projects CN110461702A and CN110461702B, titled "Floating Offshore Platform," propose a four-column floating offshore wind turbine platform. The research indicates that a heave plate can increase the platform's added mass and significantly improve damping, thereby increasing the natural periods of heave and pitch / roll. However, detailed parametric studies on the construction of the heave plate have not been conducted. Among the published inventions, parametric analysis of multiple structural locations of the floating body and sensitivity analysis of motion response remain relatively limited.

[0003] In view of this, the present invention provides a method for optimizing the external dimensions of various components of a floating wind turbine platform. Summary of the Invention

[0004] To overcome the problems in the existing technology, this invention proposes a method for optimizing the external dimensions of various components of a floating wind turbine platform. By calculating and studying the degree of influence of each structural part on the hydrodynamic performance of the platform, some structures are divided into structural dimensions optimization designs oriented towards stability, providing a clear direction for the current optimization design of floating wind turbine platforms.

[0005] According to one aspect of the present invention, a method for optimizing the external dimensions of various components of a floating wind turbine platform is provided, comprising the following steps:

[0006] Step S1: Determine the floating wind turbine platform and divide the wind turbine structure according to the floating wind turbine platform;

[0007] Step S2: Determine the main dimensional information based on the wind turbine structure;

[0008] Step S3: Determine the sample space and sample points of the corresponding wind turbine structure variation based on the principal scale information.

[0009] A series of floating wind turbine platform models were created;

[0010] Step S4: Perform 3D modeling of the floating wind turbine platform series models using 3D modeling software to create a model file that can be used for potential flow calculation;

[0011] Step S5: Determine the actual ocean environment wave conditions, classify regular waves and irregular waves based on the wave conditions, and use the wave parameters corresponding to regular waves and irregular waves as numerical simulation input conditions.

[0012] Step S6: Based on the potential flow calculation method, complete the first frequency domain analysis of the floating wind turbine platform series model, extract the structural stiffness, added mass and added moment of inertia data from the result data, and calculate the critical damping of the floating wind turbine platform series model; take the critical damping in the heave, roll and pitch directions of the platform motion under a fixed proportional coefficient as the viscous correction term, and apply this data to the additional damping coefficient matrix;

[0013] Step S7: Based on the potential flow method combined with the catenary method, complete the second frequency domain analysis and time domain calculation of the floating wind turbine platform series models, and extract hydrodynamic motion data;

[0014] Step S8: Optimize calculation results and provide design recommendations for high-stability structures. Summarize the variation patterns of extreme values ​​with each principal dimension using charts, and provide a summary of the patterns and optimization design recommendations for the external dimensions of each component for high stability.

[0015] As a preferred embodiment of the present invention, the wind turbine structure includes, but is not limited to, outer columns, central columns, sway plates, lower connecting beams, and struts; the main dimensional information refers to the dimensional information corresponding to the wind turbine structure.

[0016] The main dimensional information includes, but is not limited to, the radius of the outer column, the radius of the slab, the height of the slab, the width of the lower connecting beam, the height of the lower connecting beam, and the outer width of the slab.

[0017] As a preferred embodiment of the present invention, based on the main dimension information of the wind turbine structure corresponding to the floating wind turbine platform described in step S2, and according to the sample space formed by the variation range of the main dimension information, a certain number of sample points are selected within the sample space to form a series of floating wind turbine platform models.

[0018] As a preferred embodiment of the present invention, the variation range of the main dimensional information of the wind turbine structure shall not exceed 20% of the original size.

[0019] As a preferred embodiment of the present invention, according to wave theory in fluid mechanics, regular waves in wave conditions are sinusoidal waves that satisfy the following relationship: η=a cos(kx-ωt+δ);

[0020] Where η represents the wave surface, a represents the wave amplitude, k represents the wave number, ω represents the circular frequency of the wave, and δ represents the wave phase; according to this formula, after determining the wave frequency ω and the wave amplitude a, the relevant waves can be simulated in the software.

[0021] The wave number and wave frequency satisfy the dispersion relation in waves, which can be expressed as:

[0022] ω 2 =gk thkh;

[0023] Where g is the acceleration due to gravity, and h is the water depth; ω 2 Let th be the square of the wave's circular frequency, and let th be the hyperbolic tangent function value of kh. When the water depth is infinite, th→1.

[0024] In wave conditions, irregular waves are composed of countless superpositions of wavelets. The wave generation theory is as follows:

[0025]

[0026] In the formula, η(t) is the equation of the wavefront, and A(ω) is the equation of the wavefront. n ω corresponds to the amplitude of the nth wave. n Let φ be the frequency of the nth wave. n This represents the phase of the nth wave.

[0027] The frequency range of the random process η(t) at time t is ω. n The square of the single-wave amplitude between +Δω is A 2 (ω n +Δω), when Δω approaches infinity, the energy density spectrum is defined as:

[0028]

[0029] Therefore, the amplitude of each wave component can be calculated:

[0030]

[0031] Where S(ω) is the spectral density function and ω is the wave frequency.

[0032] As a preferred embodiment of the present invention, the calculation formula for critical damping is as follows:

[0033]

[0034] Where F is the critical damping of the object, M represents the mass (moment of inertia), λ is the additional mass (moment of inertia) under the natural period, and K is the stiffness of the object.

[0035] Take the critical damping of β% as the viscosity correction term f.

[0036] f = β%·F.

[0037] As a preferred embodiment of the present invention, the sway and pitch of the floating wind turbine platform are constrained based on the mooring tension of the mooring cable on the floating wind turbine platform.

[0038] According to another aspect of the present invention, a computer program product stored on a computer-readable medium is provided, comprising a computer-readable program that, when executed on an electronic device, provides a user input interface for implementing a method for optimizing the external dimensions of various components of a floating wind turbine platform.

[0039] According to another aspect of the present invention, a computer-readable storage medium is provided, storing instructions that, when executed on a computer, cause the computer to perform a method for optimizing the external dimensions of various components of a floating wind turbine platform.

[0040] The technical effects and advantages of the method for optimizing the external dimensions of various components of a floating wind turbine platform according to the present invention are as follows:

[0041] This invention decomposes a floating wind turbine platform into several key structural components, such as columns, sway plates, lower connecting beams, and diagonal braces. Each structural component is then parameterized and reassembled into a new whole. The impact of each structural component on the platform's hydrodynamic performance can be calculated and studied. Based on the calculation results, some structures can be categorized into stability-oriented structural dimension optimization designs, providing a clear direction for current optimization designs of floating wind turbine platforms.

[0042] This invention calculates the critical damping of floating platforms in the frequency domain. A certain proportional coefficient for critical damping corrects the viscous term in the potential flow calculation, improving its accuracy. Using real sea conditions as the operating conditions for optimization, it takes into account the actual operating conditions faced by floating wind turbine platforms to the greatest extent possible, providing an effective optimized design solution for floating wind turbine platforms that can be benchmarked against engineering realities. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the structure of each part of the three-column platform of the present invention;

[0044] Figure 2 This is a comparison chart of the wave calculation settings and theoretical energy density spectrum of this invention;

[0045] Figure 3 This is a graph showing wave monitoring data within 3000 seconds at position (0,0) in this invention.

[0046] Figure 4 This is a diagram illustrating the calculation of the 180-degree wave direction angle according to the present invention.

[0047] Figure 5 This is a flowchart of the viscous damping correction process of the present invention;

[0048] Figure 6 This is a time-history curve of the heave motion response of the semi-submersible platform under irregular waves within 3000s according to the present invention.

[0049] Figure 7 This is a time-history curve of the pitch motion response of the semi-submersible platform under irregular waves within 3000s according to the present invention.

[0050] Figure 8 This is a time-history curve of the heave and pitch motion response of the semi-submersible platform under regular wave conditions according to the present invention.

[0051] Figure 9 This is a time-history curve of the heave and pitch motion response of the semi-submersible platform after data processing according to the present invention.

[0052] Figure 10 This is a comparison diagram of the column radius of the present invention with the amplitude of heave and pitch.

[0053] Figure 11 This is a comparison diagram of the heave plate radius and the amplitude of heave and pitch in this invention;

[0054] Figure 12 This is a comparison diagram of the heave plate height with the amplitude of heave and pitch according to the present invention;

[0055] Figure 13 This is a comparison diagram of the amplitude of heave and pitch with respect to the width of the lower beam in this invention;

[0056] Figure 14 This is a comparison diagram of the amplitude of heave and pitch of the lower beam height in relation to the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Example 1

[0059] Please see Figure 1-3 As shown in this embodiment, the method for optimizing the external dimensions of various components of a floating wind turbine platform includes the following steps:

[0060] Step S1: Determine the floating wind turbine platform and divide the wind turbine structure according to the floating wind turbine platform;

[0061] The wind turbine structure includes, but is not limited to, outer columns, central columns, sway plates, lower connecting beams, and struts;

[0062] Specifically, an example is provided using a three-column floating wind turbine platform. The platform includes three circular side columns, each with a circular sway plate at its bottom. The sway plates are connected by square lower beams, and the structures are connected by circular hollow struts. To address interference between the mooring cable and the power cable, the outer edges of the sway plates are trimmed.

[0063] Step S2: Determine the main dimensional information based on the wind turbine structure;

[0064] The main dimensional information refers to the dimensional information corresponding to the wind turbine structure; it is used to determine the main dimensional information corresponding to each wind turbine structure of the floating wind turbine platform in step S1; for different types of wind turbine structures, the main dimensional information includes, but is not limited to, one or more combinations of information such as the outer column radius, the heave plate radius, the heave plate height, the lower connecting beam width, the lower connecting beam height, and the outer width of the heave plate.

[0065] Different descriptive methods need to be used based on practical experience to explain the main dimensional information of the corresponding wind turbine structure.

[0066] Specifically, for example, the main dimensional information corresponding to the three-column floating wind turbine platform includes: the radius of the outer column is 7.5m, the radius of the sway plate is 13.0m, the height of the sway plate is 2.5m, the width of the lower connecting beam is 6.0m, the height of the lower connecting beam is 5.0m, and 3.0m of width is cut off from the outer side of the sway plate.

[0067] Step S3: Determine the sample space and sample points of the corresponding wind turbine structure changes based on the master scale information to form a series of floating wind turbine platform models;

[0068] In brief: Based on the main dimension information of the wind turbine structure corresponding to the floating wind turbine platform described in step S2, and according to the sample space formed by the variation range of the main dimension information, a certain number of sample points are selected within the sample space to form a series of floating wind turbine platform models.

[0069] The sample space range needs to be based on the determination of the main dimensional information of the wind turbine structure by the floating wind turbine platform. Considering the requirement that the drainage volume does not change much, the change range of the main dimensional information of each wind turbine structure shall not exceed 20% of the original size, that is, the sample point space range of parameter changes is 0.80 to 1.20 times the original size.

[0070] Taking the platform column radius as an example, the values ​​for each sample point should satisfy the following formula:

[0071] R column,N ∈[0.80R column 1.20R column ]; (1)

[0072] Where N represents the sample points taken.

[0073] Specifically, for example, a sample space of 0.85 to 1.15 times the initial parameter is selected, and relevant sample points within this space are selected as optimization schemes. For the outer column radius, the sample space range is [6.00m, 9.00m]. Five sample points are selected within the parameter sample space as optimization schemes (taking into account the original parameters), namely 6.5m, 7.0m, 7.5m, 8.0m, and 8.5m. The sample space range for optimizing the heave plate radius parameter is [10.40m, 15.60m], and the optimization schemes are: 12.0m, 12.5m, 13.0m, 13.5m, and 14.0m. The sample space range for optimizing the heave plate height parameter is [2. The optimized range for the width parameter of the lower connecting beam is [4.80m, 7.20m], with optimized solutions of 2.00m, 2.25m, 2.50m, 2.75m, and 3.00m. The optimized range for the width parameter of the lower connecting beam is [4.80m, 7.20m], with optimized solutions of 5.0m, 5.5m, 6.0m, 6.5m, and 7.0m. The optimized range for the height parameter of the lower connecting beam is [4.80m, 7.20m], with optimized solutions of 4.0m, 4.5m, 5.0m, 5.5m, and 6.0m, as shown in Table 1. A series of model data is generated from these solutions.

[0074] In addition, the platform's center of gravity and moment of inertia under no-load conditions were calculated by simplifying the platform's columns, sway plates, and lower beams into hollow plates and shells. The influence of different structures on the platform's heave and pitch was studied by changing the dimensional parameters of these structures.

[0075] Table 1 Calculation Operating Condition Statistics Table

[0076]

[0077] Step S4: Perform 3D modeling of the floating wind turbine platform series models using 3D modeling software to create a model file that can be used for potential flow calculation;

[0078] Step S5: Determine the actual ocean environment wave conditions, classify regular waves and irregular waves based on the wave conditions, and use the wave parameters corresponding to regular waves and irregular waves as numerical simulation input conditions.

[0079] It should be noted that: the wave parameters corresponding to regular waves include, but are not limited to, regular wave height and wavelength period; the wave parameters corresponding to irregular waves include, but are not limited to, wave spectrum, meaningful wave height and spectral peak period; the input conditions are necessary for wave generation. Only with wave parameters can waves be generated and relevant hydrodynamic data be obtained.

[0080] Specifically, according to wave theory in fluid mechanics, regular waves in wave conditions are sinusoidal waves that satisfy the following relationship:

[0081] η=a cos(kx-ωt+δ); (2)

[0082] Where η represents the wave surface, a represents the wave amplitude, k represents the wave number, ω represents the circular frequency of the wave, and δ represents the wave phase; according to this formula, after determining the wave frequency ω and the wave amplitude a, the relevant waves can be simulated in the software.

[0083] The wave number and wave frequency satisfy the dispersion relation in waves, which can be expressed as:

[0084] ω 2 =gk thkh; (3)

[0085] Where g is the acceleration due to gravity, and h is the water depth; ω 2 Let th be the square of the wave's circular frequency, and let th be the hyperbolic tangent function value of kh. When the water depth is infinite, th→1.

[0086] In wave conditions, irregular waves are composed of countless superpositions of wavelets. The wave generation theory is as follows:

[0087]

[0088] In the formula, η(t) is the equation of the wavefront, and A(ω) is the equation of the wavefront. n ω corresponds to the amplitude of the nth wave. n Let φ be the frequency of the nth wave. n This represents the phase of the nth wave.

[0089] The frequency range of the random process η(t) at time t is ω. n The square of the single-wave amplitude between +Δω is A 2 (ω n +Δω), when Δω approaches infinity, the energy density spectrum is defined as:

[0090]

[0091] Therefore, the amplitude of each wave component can be calculated:

[0092]

[0093] Specifically, for example, regular and irregular wave conditions in a real marine environment are determined, and the wave period of the regular wave used is calculated to be 14.58s and the wave height is 11.71m.

[0094] The irregular wave used in the calculation was the JONSWAP wave spectrum, based on the energy density expression of the JONSWAP wave spectrum recommended by the 15th ITTC:

[0095]

[0096] In the formula: S(ω) is the spectral density function, and ω is the wave frequency. For the sake of meaningful waves, T p σ is the wave spectrum peak period, γ is the peak factor, and σ is the peak shape parameter.

[0097] For example, the recommended value obtained after fitting the experimental data is: σ = 0.07, f ≤ f p σ = 0.09, f > f p γ is set to 3.3, the spectral peak period is selected as 14.58s, the significant wave height is selected as 11.71m, the frequency range is selected as 0.03~0.25Hz, the number of seeds is selected as 100, the wave direction angle is selected, and the calculation time is 3000s; the calculation settings are compared with the theoretical values ​​as follows. Figure 2 As shown, wavefront monitoring at the (0,0) wave measurement point is as follows: Figure 3 As shown. The wave direction angle is 180°, as... Figure 4 As shown.

[0098] Step S6: Based on the potential flow calculation method, complete the first frequency domain analysis of the floating wind turbine platform series model, extract the structural stiffness, added mass and added moment of inertia data from the result data, and calculate the critical damping of the floating wind turbine platform series model; take the critical damping in the heave, roll and pitch directions of the platform motion under a fixed proportional coefficient as the viscous correction term, and apply this data to the additional damping coefficient matrix;

[0099] The calculation formula for critical damping is as follows:

[0100]

[0101] Where F is the critical damping of the object, M represents the mass (moment of inertia), λ is the additional mass (moment of inertia) under the natural period, and K is the stiffness of the object.

[0102] Take the critical damping of β% as the viscosity correction term f.

[0103] f = β%·F. (9)

[0104] Specifically, as an example, the simplified calculation process for this part is as follows: Figure 5As shown. The first frequency domain analysis of the floating wind turbine platform series models was completed based on the potential flow method, and the structural stiffness K, additional mass and additional moment of inertia λ data were extracted from the result data. Taking the initial platform model as an example, after the first frequency domain calculation, the stiffness along the heave, roll and pitch directions, the additional rotating mass and additional moment of inertia under 180° wave direction were obtained, as shown in Table 2. The original mass and moment of inertia are the known inherent property parameters of the platform. The critical damping of the platform in each direction was calculated according to formula (8), and according to formula (9), the value of β was taken as 8 to obtain the viscous damping correction, and this value was added to the viscous damping matrix.

[0105] Table 2. Inherent properties of the platform and viscous damping correction

[0106]

[0107]

[0108] Step S7: Based on the potential flow method combined with the catenary method, complete the second frequency domain analysis and time domain calculation of the floating wind turbine platform series models, and extract hydrodynamic motion data;

[0109] By extracting motion response data under regular waves, the equilibrium position of the motion is found, and the technical results under irregular waves are processed. Finally, the natural periods of heave and pitch motions and the extreme values ​​of the motion response are given.

[0110] Based on the mooring tension of the mooring cable on the floating wind turbine platform, the sway and pitch of the floating wind turbine platform are constrained; the incoming flow direction is perpendicular to the xz plane, and the platform's sway amplitude is small. Therefore, the statistical analysis process only considers the platform's pitch and heave.

[0111] The time-history curves of heave and pitch motions were extracted and analyzed. Although we ensured consistent draft during the design, the equilibrium position varied under different calculation conditions due to the initial pretension of the mooring and errors in the geometric model construction. Figure 6 As shown. Therefore, before statistically analyzing the heave motion, the swaying motion under regular waves was calculated, and the results are as follows. Figure 7 As shown. The equilibrium position is calculated by comparing the equilibrium positions of the time-history curves under regular and irregular wave conditions. By shifting the time-history curve of the irregular wave, the equilibrium position of the time-history curve under the irregular wave condition is corrected to 0. From the time-history curve of the regular wave, it can be seen that after 400s, the heave and pitch motions begin to stabilize. Therefore, the data from the first 500s is removed, and the positive maximum value is extracted as the amplitude, as shown. Figure 8 As shown.

[0112] Step S8: Optimize calculation results and provide design recommendations for high-stability structures. Summarize the variation patterns of extreme values ​​with each principal dimension using charts, and provide a summary of the patterns and optimization design recommendations for the external dimensions of each component for high stability.

[0113] The extreme values ​​and natural periods of the heave and pitch motion of the floating wind turbine platform under real marine environmental conditions in step S7 are summarized in the form of charts. Based on the results, the structural parts whose parameters have a greater impact on hydrodynamic performance are classified as structures that can be used for stability optimization design.

[0114] The following are suggestions for optimizing the design:

[0115] I. Column radius

[0116] Table 3 shows the extreme values ​​and natural periods of the platform's heave and pitch motions under different heave radii. Figure 10 The detailed trends of motion are shown. From this, we can observe that as the column radius increases, both the platform's heave and pitch motions decrease, with the heave motion being more sensitive to changes in the column radius. This is because when the column radius changes, the platform's wetted surface area changes significantly, causing a noticeable change in the wave force acting on the platform, thus significantly affecting the heave and pitch motions, such as with R... column Compared to a radius of 7.5m, the heave amplitude increased by 30.21% and the natural period increased by 12.57% for a radius of 6.5m; the pitch amplitude increased by 1.31% and the natural period increased by 27.65%. Specific trends are as follows: Figure 9 As shown.

[0117] Given its significant impact on stability, the variation of the column radius parameter can be incorporated into the optimization design oriented towards platform stability.

[0118] Table 3. Influence of column radius on hydrodynamic performance

[0119]

[0120] II. Radius of the heave plate

[0121] Table 4 shows the extreme values ​​and natural periods of the platform's heave and pitch motions under different heave radii. Figure 10 The detailed trends of motion are shown. From this, we can see that the heave plate can effectively reduce the platform's heave and pitch motions; compared to reducing the column radius, the heave plate radius is more sensitive to pitch. For example, compared to the comparison case, R... plate When the radius is 13m, the heave amplitude increases by 11.30% and the natural period decreases by 4.37% for a 12m radius condition; the pitch amplitude increases by 4.08% and the natural period decreases by 2.73%.

[0122] Given its significant impact on stability, the variation of the heave plate radius parameter can be incorporated into the optimization design oriented towards platform stability.

[0123] Table 4. Influence of heave plate radius on hydrodynamic performance

[0124]

[0125] III. Height of the heave plate

[0126] Table 5 shows the extreme values ​​and natural periods of the platform's heave and pitch motions at different heave plate heights. Figure 11 The detailed trends of motion are shown. From this, we can observe that the height of the heave plate has a relatively small impact on both heave and pitch. When the height of the heave plate changes, there is no significant effect on the wetted surface area in the heave and pitch directions. Therefore, the wave forces acting on the platform in the heave and pitch directions do not change significantly, resulting in no significant change in heave and pitch motion. Specifically, the heave amplitude remains almost constant at 3.1m, while the pitch amplitude fluctuates only slightly around 1.3m. For example, compared to the comparative condition, H... plate When the heave plate height is 2.50m, the heave amplitude increases by 8.91%, the natural period increases by 3.83%, the pitch amplitude increases by 1.39%, and the natural period increases by 3.41% under the condition of 2.00m heave plate height. The specific trends are shown in the figure.

[0127] Based on its relatively small impact on stability, the height parameter of the heave plate can be considered as a platform dimensional parameter oriented towards high stability.

[0128] Table 5. Effect of heave plate height on hydrodynamic performance

[0129]

[0130] IV. Width of the lower connecting beam

[0131] Table 6 shows the extreme values ​​and natural periods of the platform's heave and pitch motions under the width of the lower connecting beam. Figure 12 The detailed trends of motion are shown. Since the width of the lower connecting beam and the radius of the heave plate essentially increase viscous damping, a comparison reveals that both are highly sensitive to heave motion. For example, compared to the comparative condition W... beam When the width of the lower beam is 6.0m, the heave amplitude increases by 15.94% and the natural period decreases by 3.83% when the width of the lower beam is 5.0m. The pitch amplitude increases by 3.00% and the natural period decreases by 3.07%.

[0132] Based on its relatively small impact on stability, the variation of the lower connecting beam width parameter can be incorporated into the optimization design oriented towards platform stability.

[0133] Table 6 shows the influence of the width of the lower side beam on hydrodynamic performance.

[0134]

[0135]

[0136] V. Height of the lower connecting beam

[0137] Table 7 shows the extreme values ​​and natural periods of the platform's heave and pitch motions under the width of the lower connecting beam. Figure 13 and Figure 14 The detailed trends of motion are shown. It can be seen that, similar to the height of the heave plate, the height of the lower connecting beam has low sensitivity to the amplitudes of both heave and pitch motions, with the heave amplitude remaining almost unchanged at around 3.1m. For example, compared to the comparative case, H... beam When the height of the lower beam is 5.0m, the heave amplitude increases by 0.22% and the natural period decreases by 1.09% when the height of the lower beam is 4.0m. The pitch amplitude increases by 5.78% and the natural period decreases by 2.73%.

[0138] Based on its characteristic of having a relatively small impact on stability, the height parameter of the lower connecting beam can be considered as a platform dimension parameter that is not geared towards high stability.

[0139] Table 7 Influence of the lower side beam height on hydrodynamic performance

[0140]

[0141] In summary, the optimization design parameters for stability include: column radius, sway plate radius, and lower connecting beam width.

[0142] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0143] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0144] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optimizing the external dimensions of various components of a floating wind turbine platform, characterized in that, Includes the following steps: Step S1: Determine the floating wind turbine platform and divide the wind turbine structure according to the floating wind turbine platform; the wind turbine structure includes outer columns, central columns, sway plates, lower connecting beams and struts; Step S2: Determine the main dimensional information based on the wind turbine structure; the main dimensional information is the dimensional information corresponding to the wind turbine structure; the main dimensional information includes the outer column radius, the sway plate radius, the sway plate height, the lower connecting beam width, the lower connecting beam height, and the outer width of the sway plate; Step S3: Determine the variation sample space and sample points of the corresponding wind turbine structure based on the master scale information to form a series of floating wind turbine platform models. Based on the master scale information of the wind turbine structure corresponding to the floating wind turbine platform, and the sample space formed by the variation range of the master scale information, select a certain number of sample points within the sample space to form a series of floating wind turbine platform models. Step S4: Perform 3D modeling of the floating wind turbine platform series models using 3D modeling software to create a model file that can be used for potential flow calculation; Step S5: Determine the actual ocean environment wave conditions, classify regular waves and irregular waves based on the wave conditions, and use the wave parameters corresponding to regular waves and irregular waves as numerical simulation input conditions. Step S6: Based on the potential flow calculation method, complete the first frequency domain analysis of the floating wind turbine platform series model, extract the structural stiffness, added mass and added moment of inertia data from the result data, and calculate the critical damping of the floating wind turbine platform series model; take the critical damping in the heave, roll and pitch directions of the platform motion under a fixed proportional coefficient as the viscous correction term, and apply this data to the additional damping coefficient matrix; Step S7: Based on the potential flow method combined with the catenary method, complete the second frequency domain analysis and time domain calculation of the floating wind turbine platform series models, and extract hydrodynamic motion data; Step S8: Optimize the calculation results, make high-stability structural design suggestions, summarize the variation of extreme values ​​with each principal scale information in the form of charts, and give a regular summary and optimization design suggestions for the external dimensions of each component for high stability.

2. The method for optimizing the external dimensions of various components of a floating wind turbine platform according to claim 1, characterized in that, The variation range of the main dimensional information of the wind turbine structure shall not exceed 20% of the original size.

3. The method for optimizing the external dimensions of various components of a floating wind turbine platform according to claim 2, characterized in that, According to wave theory in fluid mechanics, regular waves, which are sinusoidal waves, satisfy the following relationship: ； in, Indicates amplitude, Indicates wave number, Indicates the angular frequency of the wave. Indicates wave phase; The wave number and the wave angular frequency satisfy the dispersion relation in waves, which can be expressed as: ； in, It is gravitational acceleration. For water depth; Let kh be the hyperbolic tangent function value; It is the square of the wave's angular frequency; In wave conditions, irregular waves are composed of countless superpositions of wavelets. The wave generation theory is as follows: ； In the formula, The equation for the wavefront is... Corresponding to the wave circular frequency The single-wave amplitude, For phase; stochastic processes At time t, the frequency range is The square of the amplitude of the inter-wavelength is ,when As the energy density spectrum approaches infinity, it is defined as follows: ； Therefore, the amplitude of each wave component can be calculated: ； in, Let be the spectral density function. It is the angular frequency of the wave.

4. The method for optimizing the external dimensions of various components of a floating wind turbine platform according to claim 3, characterized in that, The formula for calculating the critical damping is as follows: (7) in, M represents mass. Here, K represents the added mass under the natural period, and K represents the stiffness of the object. Take the critical damping of β% as the viscosity correction term. , 。 5. The method for optimizing the external dimensions of various components of a floating wind turbine platform according to claim 4, characterized in that, Based on the mooring tension of the mooring cable on the floating wind turbine platform, the sway and pitch of the floating wind turbine platform are constrained; the incoming flow direction is perpendicular to the xz plane, the platform sway amplitude is small, and only the pitch and heave of the platform are considered.

6. A computer program product stored on a computer-readable medium, characterized in that: Includes a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement a method for optimizing the external dimensions of various components of a floating wind turbine platform as described in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that: The system stores instructions that, when executed on a computer, cause the computer to perform a method for optimizing the external dimensions of various components of a floating wind turbine platform as described in any one of claims 1-5.

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