Physical model preparation method and system for floating wind turbine cable structure optimization

Abstract

The present invention belongs to the field of marine engineering technology, and specifically discloses a physical model preparation method and system for optimizing the cable structure of a floating wind turbine, wherein the method comprises the following steps: step S1, determining the scale ratio of the parameters between the initial physical model of the floating wind turbine cable and the prototype; step S2, establishing a physical model for optimizing the floating wind turbine cable; step S3, collecting the dynamic response time history of the corresponding floating wind turbine system model under various states and calculating the power spectrum density; step S4, obtaining the influence law of pre-tension and axial stiffness on the physical model for optimizing the floating wind turbine cable; step S5, determining the pre-tension and axial stiffness according to the influence law, so that the physical model for optimizing the floating wind turbine cable is in the best state. The present invention makes it easy to adjust the key structural parameters of the model by establishing an optimized physical model of the floating wind turbine cable structure; obtaining the key structural parameters corresponding to the optimal performance of the cable structure, and realizing the design and optimization of the cable structure.

Description

Technical Field

[0001] The invention relates to the technical field of marine engineering, and in particular to an optimized physical model preparation method and system for a floating wind turbine cable structure. Background Art

[0002] In actual sea conditions, floating wind turbines are subject to the combined effects of multiple environmental loads, including wind loads, wave loads, and current loads. The effects of environmental loads are multi-band complex, which makes the dynamic response of the floating wind turbine system extremely complex. In addition to the floating body and mooring system, the floating wind turbine system also has an upper unit structure, including the tower, upper nacelle, and rotor. The first-order bending natural period of the floating wind turbine tower is small, generally less than 5s. Therefore, the sum frequency components in the high-order wave loads and the rotation effect of the wind rotor may excite the tower to resonate at high frequencies, bringing large-value and high-frequency structural loads to the tower section, which seriously threatens the structural strength and fatigue life of the floating wind turbine tower.

[0003] In the field of bridges, cable structures are widely used in structural vibration reduction, and the multiple columns of semi-submersible wind turbine floats provide space for the arrangement of cable structures, so cables also have the potential to assist floating wind turbine tower vibration reduction. However, there is currently a lack of research on the impact of cable structures on the load characteristics of floating wind turbine towers. How to reasonably design and optimize the key parameters of floating wind turbine cable structures is a key issue.

[0004] The physical model test method is the most commonly used and reliable research method in the field of marine engineering. It is crucial to the study of the performance of complex structures - floating wind turbine cable systems, but there is currently a lack of relevant technical solutions. In summary, a physical model preparation method and system for optimizing the floating wind turbine cable structure is needed to solve the above problems in the existing technology. Summary of the invention

[0005] The present invention provides a method and system for preparing an optimized physical model of a floating wind turbine cable structure, constructs a physical model that can be used for optimizing the floating wind turbine cable structure, innovates a method for adjusting the pre-tension and axial stiffness of the cable structure under physical model conditions, and explores the system structure load distribution characteristics and the vibration reduction effect of the cable structure under different structural parameters.

[0006] In order to achieve the purpose of solving the above technical problems, the present invention adopts the following technical solutions:

[0007] The method for preparing a physical model for optimizing the cable structure of a floating wind turbine comprises the following steps:

[0008] Step S1, determining the scale ratio of parameters between the initial physical model of the floating wind turbine cable and the prototype;

[0009] Step S2, adding force sensors, elastic modules and adjustment mechanisms to establish a physical model for optimizing the floating wind turbine cables;

[0010] Step S3, obtaining cable system models under various states by adjusting the regulating mechanism and replacing the elastic module; carrying out wind-wave combined working conditions, collecting dynamic response time histories of the corresponding floating wind turbine system models under various states; and calculating the power spectrum density of the load time history response according to the dynamic response time history; wherein the state of the cable system model is characterized by the parameter pretension of the regulating mechanism and the parameter axial stiffness of the elastic module;

[0011] Step S4, comparing the power spectrum density under different states to obtain the influence of pre-tension and axial stiffness on the physical model of floating wind turbine cable optimization;

[0012] Step S5: determining the pre-tension and the axial stiffness according to the influencing rules, so that the physical model of the floating wind turbine cable optimization is in the best state.

[0013] In some embodiments of the present invention, in step S2, the physical model of the floating wind turbine cable optimization includes a floating wind turbine system and a cable system; the force sensor includes a three-component force sensor, a six-component force sensor and a single-axis force sensor; wherein the three-component force sensor is arranged at the top of the tower of the floating wind turbine system model, the six-component force sensor is arranged at the bottom of the tower of the floating wind turbine system model, and the single-axis force sensor is arranged in the cable system model.

[0014] In some embodiments of the present invention, the cable system model includes a cable, a uniaxial force sensor, an elastic module and an adjustment mechanism; wherein, one end of the cable is connected to the top of the tower, and the other end is connected to the adjustment mechanism; one end of the elastic module is connected to the cable to form a loop in the adjustment mechanism, and the other end is connected to the uniaxial force sensor; the other end of the uniaxial force sensor is connected to the top of the floating column of the floating wind turbine system model.

[0015] In some embodiments of the present invention, the process of obtaining the pre-tension in step S3 is: adjusting the length of the cable passing through the adjustment mechanism, and obtaining the pre-tension through the indication of the uniaxial force sensor; the process of obtaining the axial stiffness is: obtaining the axial stiffness of the current physical model of the floating wind turbine cable optimization by replacing the elastic module.

[0016] In some embodiments of the present invention, the dynamic response time history is an M·N matrix, wherein M is the number of acquired axial stiffnesses, and N is the number of acquired pretensions.

[0017] In some embodiments of the present invention, the pretension and axial stiffness are determined by using the performance evaluation parameter φ in step S5; wherein the calculation formula of the performance evaluation parameter φ is:

[0018] φ=aP W +bP H ;

[0019] Among them, P W Represents the peak value of the wave frequency of the critical section load of the tower structure, P H represents the high-frequency peak value of the load on the key section of the tower structure, and a and b represent the weight parameters of the wave frequency peak value and the high-frequency peak value respectively.

[0020] In some embodiments of the present invention, when the performance evaluation parameter φ is at a minimum value, the physical model of the floating wind turbine cable optimization reaches an optimal state.

[0021] In some embodiments of the present invention, a physical model preparation system for optimizing a floating wind turbine cable structure is provided, comprising:

[0022] A model building module, which builds a physical model for floating wind turbine cable optimization by adding force sensors, elastic modules and adjustment mechanisms;

[0023] A data acquisition module, which is used to obtain cable system models under various states by adjusting the regulating mechanism and replacing the elastic module; and to collect dynamic response time histories of the corresponding floating wind turbine system models under various states;

[0024] A calculation module, which is used to calculate the power spectrum density of the load time history response according to the dynamic response time history, and determine the pretension and axial stiffness of the floating wind turbine cable optimization physical model under the optimal state;

[0025] The communication module is used to communicate with external devices.

[0026] In some embodiments of the present invention, there is provided an electronic device, comprising:

[0027] A processor, and a memory and a transceiver communicatively connected to the processor;

[0028] The memory stores computer-executable instructions; the transceiver is used to send and receive data;

[0029] The processor executes the computer-executable instructions stored in the memory to implement the above-mentioned preparation method.

[0030] In some embodiments of the present invention, a computer-readable storage medium is provided, characterized in that:

[0031] The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to implement the above-mentioned preparation method when executed by a processor.

[0032] The technical solution of the present invention has the following technical effects compared with the prior art:

[0033] The present invention establishes an optimized physical model of the floating wind turbine cable structure by adding force sensors, elastic modules and adjustment mechanisms, so that the key structural parameters of the model are easy to adjust; the present invention conducts multiple groups of physical model tests to compare the load characteristics of the "floating wind turbine-cable structure" system under different environmental conditions, different pre-tensions and axial stiffnesses, obtains the key structural parameters corresponding to the optimal performance of the cable structure, and realizes the design and optimization of the cable structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 Schematic diagram of the installation of the physical model for optimizing the floating wind turbine cable.

[0036] Figure 2 A schematic diagram of the structure of the physical model for optimizing the floating wind turbine cable.

[0037] Figure 3 for Figure 2 Enlarged view of part A.

[0038] Figure 4 A schematic diagram of the structure of the system for preparing the physical model.

[0039] Figure 5 It is a structural schematic diagram of the electronic device.

[0040] Figure numerals: 100, floating wind turbine system model; 110, floating column; 120, tower; 130, nacelle; 140, flange; 200, cable system model; 210, elastic module; 220, cable; 230, adjustment mechanism; 300, wave pool; 410, three-component force sensor; 420, six-component force sensor; 430, single-axis force sensor; 440, double-head hook; 500, physical model preparation system; 510, model building module; 520, data acquisition module; 530, computing module; 540, communication module; 600, electronic equipment; 610, processor; 620, memory; 630, transceiver. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0043] Embodiment 1: This embodiment provides a method for preparing a physical model for optimizing a floating wind turbine cable structure, comprising the following steps:

[0044] Step S1, determining the scale ratio of parameters between the initial physical model of the floating wind turbine cable and the prototype;

[0045] Reference Figure 1 As shown, firstly, a wave calibration of the wave pool 300 is performed. In an empty wave pool, a wave height meter is arranged at the position of the floating wind turbine buoy to measure real-time wave surface information.

[0046] To perform wind speed calibration of the wind-generating system, an anemometer is arranged at the hub of the floating wind turbine in the open field wave pool 300 to measure real-time wind speed information.

[0047] Since the wave action on the floating wind turbine is mainly inertial force, the Froude number is used for scaling, and the scaling ratio is set to 1:λ;

[0048] The initial physical model test of the floating wind turbine cable must ensure that the aerodynamic thrust under the Froude number scale is consistent with the prototype, including its amplitude and frequency characteristics:

[0049] ;

[0050] ;

[0051] Among them, F T,M is the turbine thrust under the initial physical model of the floating wind turbine cable, F T,P is the fan thrust under the prototype, n M is the wind turbine speed under the initial physical model of the floating wind turbine cable, nP is the fan speed under the prototype.

[0052] Furthermore, since the tower 120 plays a role in transmitting the load between the float and the rotor in the floating wind turbine system, it is necessary to ensure that the first-order bending stiffness of the tower 120 under the Froude number scale is consistent with the prototype:

[0053] ;

[0054] Among them, K B,M is the first-order bending stiffness of the tower 120 under the initial physical model of the floating wind turbine cable, K B,P is the first-order bending stiffness of the tower 120 under the prototype.

[0055] Furthermore, since the mooring system limits the displacement of the floating body and provides restoring force, it is necessary to ensure that the pretension and restoring stiffness of the mooring system under the Froude number scale are consistent with the prototype:

[0056] ;

[0057] ;

[0058] Among them, T R1,M is the pre-tension of the mooring system under the initial physical model of the floating wind turbine cable, T R1,P is the pretension of the mooring system under the prototype; K R1,M is the restoring stiffness of the mooring system under the initial physical model of the floating wind turbine cable, K R1,P is the recovery stiffness of the mooring system under the prototype.

[0059] Furthermore, since the cable system increases the natural frequency of the overall bending moment of the upper wind turbine and shares the 120° load of the tower, it is necessary to ensure that the pretension and restoring stiffness of the cable system are consistent with the prototype:

[0060] ;

[0061] ;

[0062] Among them, T R2,M is the pre-tension of the cable system under the initial physical model of the floating wind turbine cable, T R2,P is the pretension of the mooring system under the prototype; K R2,M is the recovery stiffness of the cable system under the initial physical model of the floating wind turbine cable, K R2,P is the recovery stiffness of the mooring system under the prototype.

[0063] Step S2, adding a force sensor, an elastic module 210 and an adjustment mechanism 230, and establishing a physical model for optimizing the floating wind turbine cable;

[0064] Reference Figure 2 and Figure 3 As shown, for the floating wind turbine system model 100 , one end of its tower 120 is connected to a six-component force sensor 420 installed on the floating body column 110 through a flange 140 ; ​​the other end of the tower 120 , i.e., the top of the tower 120 , is connected to a three-component force sensor 410 through a flange 140 .

[0065] The other end of the three-force sensor 410 is connected to the nacelle 130; the blades are installed at the head of the nacelle 130 through the threaded holes; and the floating wind turbine physical model system is installed.

[0066] All sensors are connected to the data collector for data collection.

[0067] The cable system includes a cable 220 , an adjustment mechanism 230 , a spring, a single-axis force sensor 430 , and a double-head hook 440 .

[0068] The cable 220 is first connected to the top flange 140 of the tower 120 through the double-headed hook 440; the cable 220 is connected to the adjustment mechanism 230, and the length of the cable 220 passing through the adjustment mechanism 230 is adjusted, and the pre-tension is determined to be t1 through the indication of the uniaxial force sensor 430.

[0069] The spring is connected to the collar formed by the cable 220 at the adjustment mechanism 230 through the double-headed hook 440, and its axial stiffness is k1.

[0070] The other end of the spring is connected to the uniaxial force sensor 430 through the double-headed hook 440; the other end of the uniaxial force sensor 430 is connected to the collar installed on the top of the floating column 110. The physical model of the floating wind turbine cable structure optimization is installed.

[0071] Step S3, obtaining the cable system model 200 in various states by adjusting the regulating mechanism 230 and replacing the elastic module 210; carrying out wind-wave combined working conditions, collecting the dynamic response time histories of the corresponding floating wind turbine system model 100 in various states; calculating the power spectrum density of the load time history response according to the dynamic response time history; wherein the state of the cable system model 200 is characterized by the parameter pretension of the regulating mechanism 230 and the parameter axial stiffness of the elastic module 210;

[0072] Specifically, step S31, in still water, the pre-tension of the cable structure is adjusted by adjusting the length of the cable 220 inserted into the adjustment mechanism 230 in the cable system.

[0073] Carry out wind and wave combined working condition LC (including floating wind turbine cut-in, rated, cut-out and shutdown conditions), collect the dynamic response time history T0 of the floating wind turbine system; perform Fourier transform on the dynamic response time history T0 to obtain the power spectrum density S0 of the load time history response.

[0074] Step S32: Conduct wind-wave combined working condition LC and collect dynamic response time history T of floating wind turbine system. 11 ;

[0075] Focus on the collection results of the six-component force sensor 420 at the bottom of the tower 120, the three-component force sensor 410 at the top of the tower 120, and the single-axis force sensor 430 of the cable system model 200;

[0076] Dynamic response time T 11 Perform Fourier transform to obtain the power spectrum density S of the load time history response 11 .

[0077] Step S33: adjust the length of the cable 220 passing through the adjustment mechanism 230, and determine the pre-tension as t according to the reading of the three-force sensor 410. n (n=2,3⋯N). The axial stiffness of the spring remains k1.

[0078] The pre-tension of the cable system model 200 can be adjusted multiple times.

[0079] Conduct wind and wave combined working condition LC and collect dynamic response time history T of floating wind turbine system 1n ;

[0080] Dynamic response time T 1n Perform Fourier transform to obtain the power spectrum density S of the load time history response 1n .

[0081] Step S34: Replace the elastic module 210 so that its axial stiffness is k m (n=2,3⋯,M); Similarly, the pre-tension of the cable system model 200 is adjusted to be t1, t2,⋯ , t n (n=2,3⋯N).

[0082] Conduct wind and wave combined working condition LC and collect dynamic response time history T of floating wind turbine system mn , T mn is an M·N matrix.

[0083] Dynamic response time T mn Perform Fourier transform to obtain the power spectrum density S of the load time history response mn .

[0084] Step S4, comparing the power spectrum density under different states to obtain the influence of pre-tension and axial stiffness on the physical model of floating wind turbine cable optimization;

[0085] Specifically, compare S0, S 11 , S 12 ,⋯,S 1n , S mn The differences between the wave frequency peak value and the high-frequency peak value are summarized to summarize the influence of the pre-tension and axial stiffness of the cable structure on its performance.

[0086] Step S5: determining the pre-tension and the axial stiffness according to the influencing rules, so that the physical model of the floating wind turbine cable optimization is in the best state.

[0087] Specifically, according to the influencing law, the optimal state is selected, that is, the physical model of the floating wind turbine cable optimization has the best performance judgment parameter φ under the pretension t n and axial stiffness k m .

[0088] The calculation formula of the performance evaluation parameter φ is:

[0089] φ=aP W +bP H ;

[0090] Among them, P W Represents the peak value of the wave frequency of the critical section load of the tower structure, P H represents the high-frequency peak value of the load on the key section of the tower structure, and a and b represent the weight parameters of the wave frequency peak value and the high-frequency peak value respectively.

[0091] in, , , where f W1 Represents the lower frequency limit of the frequency band, f W2 Represents the upper frequency limit of the wave frequency segment; f H1 Represents the lower frequency limit of the high frequency range, f H2 represents the upper frequency limit of the high frequency section; PSD(f) represents the power spectral density function;

[0092] In order to facilitate numerical calculation, P W With P H The discrete forms of are:

[0093]

[0094]

[0095] Where Δf is the frequency interval of the discretized PSD power spectrum density function, which can be obtained by Calculate, where F srepresents the sampling frequency, and N represents the number of Fourier transform points.

[0096] When the performance evaluation parameter φ is at a minimum value, the physical model of the floating wind turbine cable optimization reaches an optimal state.

[0097] The technical solution of the present invention has the following technical effects compared with the prior art:

[0098] The present invention establishes an optimized physical model of the floating wind turbine cable structure by adding force sensors, elastic modules 210 and adjustment mechanisms 230, so that the key structural parameters of the model are easy to adjust; the present invention conducts multiple groups of physical model tests to compare the load characteristics of the "floating wind turbine-cable structure" system under different environmental conditions, different pre-tensions and axial stiffnesses, and obtains the key structural parameters corresponding to the optimal performance of the cable structure, thereby realizing the design and optimization of the cable structure.

[0099] Example 2: This example will be based on Figure 4 and Figure 5 A physical model preparation system 500 and an electronic device 600 are described.

[0100] Among them, refer to Figure 4 As shown, a physical model preparation system 500 for optimizing the structure of floating wind turbine cables is provided, comprising:

[0101] A model building module 510, which builds a physical model for optimizing the floating wind turbine cable by adding force sensors, elastic modules and adjustment mechanisms;

[0102] The data acquisition module 520 is used to obtain the cable system model under various states by adjusting the regulating mechanism and replacing the elastic module; and to collect the dynamic response time history of the floating wind turbine system model 100 corresponding to the various states;

[0103] A calculation module 530, which is used to calculate the power spectrum density of the load time history response according to the dynamic response time history, and determine the pretension and axial stiffness of the floating wind turbine cable optimization physical model under the optimal state;

[0104] The communication module 540 is used to communicate with external devices.

[0105] It should be understood that the physical model preparation system 500 here is embodied in the form of a functional module. The term "module" here may refer to an application specific integrated circuit (ASIC), an electronic circuit, a processor (e.g., a shared processor, a proprietary processor, or a group processor, etc.) and a memory for executing one or more software or firmware programs, a merged logic circuit, and / or other suitable components that support the described functions. In an optional example, those skilled in the art may understand that the physical model preparation system 500 may be specifically the electronic device 600 in the above-mentioned embodiment, or the function of the electronic device 600 in the above-mentioned embodiment may be integrated in the physical model preparation system 500, and the physical model preparation system 500 may be used to execute the various processes and / or steps corresponding to the electronic device 600 in the above-mentioned method embodiment, and to avoid repetition, it will not be repeated here.

[0106] The physical model preparation system 500 has the functions of implementing the corresponding steps performed by the electronic device 600 of the preparation method in Example 1; the above functions can be implemented by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions. For example, the above acquisition module can be a communication interface, such as a transceiver interface.

[0107] Reference Figure 5 As shown, in this embodiment, an electronic device 600 is provided, including:

[0108] A processor 610, and a memory 620 and a transceiver 630 communicatively connected to the processor;

[0109] The memory 620 stores computer-executable instructions; the transceiver 630 is used to send and receive data;

[0110] The processor 610 executes the computer-executable instructions stored in the memory 620 to implement the preparation method in Example 1.

[0111] It should be understood that the electronic device 600 can be used to execute the corresponding steps and / or processes in the above method embodiments. Optionally, the memory 620 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory 620 may also include a non-volatile random access memory. For example, the memory 620 may also store information about the device type. The processor 610 may be used to execute the instructions stored in the memory 620, and when the processor 610 executes the instructions, the processor 610 may execute the corresponding steps and / or processes in the above method embodiments.

[0112] It should be understood that in the embodiment of the present application, the processor 610 may be a central processing unit (CPU), and the processor 610 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0113] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 610 or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in the processor 610 for execution. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor executes the instructions in the memory, and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0114] Embodiment 3: In this embodiment, a computer-readable storage medium is provided, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the preparation method in Embodiment 1.

[0115] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0116] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0118] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0119] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0120] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A physical model preparation method for optimizing the cable structure of a floating wind turbine, characterized in that: The following steps are involved: Step S1, determining the scale ratio of parameters between the initial physical model of the floating wind turbine cable and the prototype; Step S2, adding force sensors, elastic modules and adjustment mechanisms, and establishing a physical model for floating wind turbine cable optimization; the physical model for floating wind turbine cable optimization includes a floating wind turbine system and a cable system; the cable system model includes a cable, a uniaxial force sensor, an elastic module and an adjustment mechanism; wherein one end of the cable is connected to the top of the tower, and the other end is connected to the adjustment mechanism; one end of the elastic module is connected to the cable in the adjustment mechanism to form a ring, and the other end is connected to the uniaxial force sensor; the other end of the uniaxial force sensor is connected to the top of the floating column of the floating wind turbine system model; Step S3, obtaining a cable system model under various states by adjusting the regulating mechanism and replacing the elastic module; carrying out wind-wave combined working conditions, collecting the dynamic response time histories of the corresponding floating wind turbine system model under various states; calculating the power spectrum density of the load time history response according to the dynamic response time histories; wherein the state of the cable system model is characterized by the parameter pretension of the regulating mechanism and the parameter axial stiffness of the elastic module; the process of obtaining the pretension is: adjusting the length of the cable passing through the regulating mechanism, and obtaining the pretension through the indication of the uniaxial force sensor; Step S4, comparing the power spectrum density under different states to obtain the influence of pre-tension and axial stiffness on the physical model of floating wind turbine cable optimization; Step S5: determine the pretension and axial stiffness according to the influencing rule so that the performance evaluation parameter φ is minimized.

2. The method for preparing a physical model for optimizing the cable structure of a floating wind turbine according to claim 1, characterized in that: In step S2, the force sensor further includes a three-component force sensor and a six-component force sensor; wherein the three-component force sensor is arranged at the top of the tower of the floating wind turbine system model, and the six-component force sensor is arranged at the bottom of the tower of the floating wind turbine system model.

3. The method for preparing a physical model for optimizing the cable structure of a floating wind turbine according to claim 1, characterized in that: The process of acquiring the axial stiffness in step S3 is: obtaining the axial stiffness of the current physical model of the floating wind turbine cable optimization by replacing the elastic module.

4. The method for preparing a physical model for optimizing the cable structure of a floating wind turbine according to claim 1, characterized in that: The dynamic response time history is a matrix of M·N, wherein M is the number of acquired axial stiffnesses, and N is the number of acquired pretensions.

5. The method for preparing a physical model for optimizing the cable structure of a floating wind turbine according to claim 1, characterized in that: In step S5, the pretension and axial stiffness are determined using the performance evaluation parameter φ; wherein the calculation formula of the performance evaluation parameter φ is: φ=aP W +bP H ; Among them, P W Represents the peak value of the wave frequency of the critical section load of the tower structure, P H represents the high-frequency peak value of the load on the key section of the tower structure, and a and b represent the weight parameters of the wave frequency peak value and the high-frequency peak value respectively.

6. A physical model preparation system for floating wind turbine cable structure optimization, characterized in that: To implement the physical model preparation method as described in any one of claims 1 to 5, comprising: A model building module, which builds a physical model for floating wind turbine cable optimization by adding force sensors, elastic modules and adjustment mechanisms; A data acquisition module, which is used to obtain cable system models under various states by adjusting the regulating mechanism and replacing the elastic module; and to collect dynamic response time histories of the corresponding floating wind turbine system models under various states; A calculation module, which is used to calculate the power spectrum density of the load time history response according to the dynamic response time history, and determine the pretension and axial stiffness of the floating wind turbine cable optimization physical model under the optimal state; The communication module is used to communicate with external devices.

7. An electronic device, characterized in that: include: A processor, and a memory and a transceiver communicatively connected to the processor; The memory stores computer-executable instructions; the transceiver is used to send and receive data; The processor executes the computer-executable instructions stored in the memory to implement the physical model preparation method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the physical model preparation method according to any one of claims 1 to 5.

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