A method of determining the frequency of an offshore wind turbine support structure and related apparatus

Abstract

Embodiments of the present application provide a method for determining the frequency of an offshore wind turbine support structure and related equipment. The method comprises: obtaining a wave scatter diagram corresponding to each wind speed, and generating a wave spectrum corresponding to different wind speeds based on the wave scatter diagram; in the case where the offshore wind turbine support structure needs to be optimized in frequency, calculating the probability of the wind speed corresponding to each wave spectrum, and multiplying the probability by the value of the wave spectrum corresponding to the wind speed to obtain an energy spectrum corresponding to different wind speeds; superimposing each energy spectrum according to the energy corresponding to the frequency to obtain an energy density index curve; and selecting, based on the energy density index curve, a frequency with the lowest energy density index in a preset range as the optimized frequency of the offshore wind turbine support structure. The present application can reduce the probability of wave resonance and the load of the support structure.

Description

Technical Field

[0001] This invention relates to the field of frequency determination technology for support structures, and in particular to a method and related equipment for determining the frequency of offshore wind turbine support structures. Background Technology

[0002] For offshore wind turbines, the frequency of their support structure needs to take into account the wave frequency range, minimizing the risk of the support structure's frequency falling within this range and absorbing excessive wave energy, thus increasing the load on the support structure. However, as the turbine capacity and support structure height increase, the frequency of the support structure decreases, making intersection with the wave frequency inevitable. Therefore, determining the frequency of the offshore wind turbine support structure is crucial for reducing the probability of wave resonance and the load on the support structure. Summary of the Invention

[0003] The purpose of this invention is to provide a method and related equipment for determining the frequency of offshore wind turbine support structures, which can reduce the probability of wave resonance and the load on the support structure. The specific technical solution is as follows:

[0004] This invention provides a method for determining the frequency of an offshore wind turbine support structure, comprising:

[0005] Obtain the wave scatter plot corresponding to each wind speed, and generate wave spectra corresponding to different wind speeds based on the wave scatter plot;

[0006] When the frequency optimization of the offshore wind turbine support structure is required, the probability of the wind speed corresponding to each wave spectrum is calculated, and the probability is multiplied by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds.

[0007] The energy spectra are superimposed according to the energy corresponding to the frequency to obtain the energy density index curve;

[0008] Based on the energy density index curve, the frequency with the lowest energy density index within a preset range is selected as the optimized frequency of the offshore wind turbine support structure.

[0009] Optionally, the wave parameters of the wave spectrum include the peak period, and the method for determining whether the offshore wind turbine support structure needs frequency optimization includes:

[0010] The wave spectrum is truncated based on the peak period to obtain the truncated wave spectrum;

[0011] Determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the extracted wave spectrum. If it is within the frequency range, then determine whether the offshore wind turbine support structure needs to be frequency optimized.

[0012] Optionally, the step of truncating the wave spectrum based on the spectral peak period to obtain the truncated wave spectrum includes:

[0013] The wave spectrum is truncated according to a preset truncating range to obtain the truncated wave spectrum;

[0014] The preset interception range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage.

[0015] Optionally, selecting the frequency with the lowest energy density index within a preset range as the optimized frequency of the offshore wind turbine support structure based on the energy density index curve includes:

[0016] Based on the energy density index curve, in [(1-F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimized frequency for the offshore wind turbine support structure.

[0017] Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange This is the second preset percentage.

[0018] The present invention also provides a frequency determination system for offshore wind turbine support structures, comprising:

[0019] The wave spectrum generation module allows users to obtain wave scatter plots corresponding to each wind speed and generate wave spectra corresponding to different wind speeds based on the wave scatter plots.

[0020] The energy spectrum generation module is used to calculate the probability of wind speed corresponding to each wave spectrum when the frequency optimization of the offshore wind turbine support structure is required, and multiply the probability by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds.

[0021] The energy density index curve generation module is used to superimpose the energy spectra according to the energy corresponding to the frequency to obtain the energy density index curve.

[0022] The frequency optimization module is used to select the frequency with the lowest energy density index within a preset range as the optimized frequency of the offshore wind turbine support structure based on the energy density index curve.

[0023] Optional, the energy spectrum generation module includes:

[0024] The truncating unit is used to truncate the wave spectrum based on the spectral peak period to obtain the truncated wave spectrum;

[0025] The judgment unit is used to determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the intercepted wave spectrum. If it is within the frequency range, the offshore wind turbine support structure is determined to undergo frequency optimization.

[0026] Optionally, the interception unit is specifically used for:

[0027] The wave spectrum is truncated according to a preset truncating range to obtain the truncated wave spectrum;

[0028] The preset interception range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage.

[0029] Optional, frequency optimization module, specifically used for:

[0030] Based on the energy density index curve, in [(1-F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimized frequency for the offshore wind turbine support structure.

[0031] Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange This is the second preset percentage.

[0032] The present invention also provides a computer-readable storage medium storing a program that, when executed by a processor, implements the above-described method for determining the frequency of offshore wind turbine support structures.

[0033] The present invention also provides an electronic device, comprising:

[0034] At least one processor, and at least one memory and bus connected to the processor;

[0035] The processor and the memory communicate with each other through the bus; the processor is used to call program instructions in the memory to execute the above-mentioned method for determining the frequency of offshore wind turbine support structure.

[0036] This invention provides a method and related equipment for determining the frequency of an offshore wind turbine support structure. The method involves acquiring a wave scatter plot for each wind speed and generating wave spectra for different wind speeds based on the wave scatter plot. When frequency optimization of the offshore wind turbine support structure is required, the method calculates the probability of the wind speed corresponding to each wave spectrum and multiplies the probability by the value of the wave spectrum for the corresponding wind speed to obtain the energy spectrum for different wind speeds. The energy spectra are then superimposed according to the energy corresponding to each frequency to obtain an energy density index curve. Based on the energy density index curve, the frequency with the lowest energy density index within a preset range is selected as the optimized frequency for the offshore wind turbine support structure. Since a lower energy density index indicates the minimum wave energy at that frequency, the probability of wave resonance and the load on the support structure can be reduced.

[0037] Of course, any product or method implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 A flowchart of a method for determining the frequency of an offshore wind turbine support structure provided in an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of wave parameters provided for an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of wave spectra corresponding to different wind speeds provided in an embodiment of the present invention;

[0042] Figure 4 A schematic diagram of wave energy spectrum provided in an embodiment of the present invention;

[0043] Figure 5 This is a schematic diagram of the energy density index curve provided in an embodiment of the present invention;

[0044] Figure 6 A structural diagram of the frequency determination system for offshore wind turbine support structure provided in an embodiment of the present invention;

[0045] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0046] 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.

[0047] This invention provides a method for determining the frequency of an offshore wind turbine support structure, such as... Figure 1 As shown, the method includes:

[0048] Step 101: Obtain the wave scatter plot corresponding to each wind speed, and generate the wave spectrum corresponding to different wind speeds based on the wave scatter plot.

[0049] Based on the principle of equal fatigue damage, the wave scatter plots corresponding to each wind speed are condensed into a wave spectrum. The wave parameters of this spectrum include the significant wave height Hs and the peak period Tp. For example... Figure 2 The image shows wave parameter diagrams corresponding to different wind speeds obtained after wave scatter plot aggregation. Figure 2 The wind speed range is 3-20 m / s. For example... Figure 3 As shown, this is the wave spectrum corresponding to different wind speeds. The horizontal axis represents frequency, which is the reciprocal of the peak period of the spectrum, and the vertical axis represents the wave spectrum. s0 The initial frequency of the wind turbine support structure.

[0050] Step 102: When the frequency optimization of the offshore wind turbine support structure is required, calculate the probability of the wind speed corresponding to each wave spectrum, and multiply the probability by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds.

[0051] As an optional implementation method, a method for determining whether the offshore wind turbine support structure requires frequency optimization includes:

[0052] The wave spectrum is truncated based on the peak period to obtain the truncated wave spectrum;

[0053] Determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the extracted wave spectrum. If it is within the frequency range, then determine whether the offshore wind turbine support structure needs to be frequency optimized.

[0054] If the initial frequency F of the wind turbine support structure s0If the wave frequency is outside the range of the truncated wave spectrum, the offshore wind turbine support structure is unaffected by the wave frequency and there is no risk of wave resonance. However, if the initial frequency Fs0 is within the range of the truncated wave spectrum, frequency optimization is required. Considering that the energy in the wave spectrum is mainly concentrated near the peak period Tp, and that wave frequencies that are too low or too high correspond to lower energy, this invention truncates the wave spectrum, selecting only the wave spectrum within a certain range before and after the peak period Tp.

[0055] Optionally, the wave spectrum can be truncated based on the peak period to obtain the truncated wave spectrum, including:

[0056] The wave spectrum is truncated according to the preset truncation range to obtain the truncated wave spectrum;

[0057] The preset intercept range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage. The range of this first preset percentage can be 15%-20%.

[0058] As another optional implementation, the probability of wind speed corresponding to each wave spectrum is calculated, including:

[0059] The probability of wind speed corresponding to each wave spectrum is calculated based on the Weibull distribution.

[0060] like Figure 4 As shown, this is the wave energy spectrum after superimposing the Weibull wind speed probabilities, which is obtained by multiplying the probability by the wave spectrum value corresponding to the wind speed to obtain the energy spectrum for different wind speeds. Figure 4 As shown, the horizontal axis represents frequency, which is the reciprocal of the spectral peak period, and the vertical axis represents the energy spectrum, F. s0 The initial frequency of the wind turbine support structure.

[0061] Step 103: Superimpose the energy spectra according to the energy corresponding to the frequency to obtain the energy density index curve.

[0062] Optionally, the energy density index curve can be obtained by linearly superimposing the energy spectra according to the energies corresponding to the frequencies, or other superposition methods can be used. For example... Figure 5 The figure shows the energy density index curve after superimposing the energy spectra for each wind speed. Figure 5 As shown, the horizontal axis represents frequency, which is the reciprocal of the spectral peak period, and the vertical axis represents the cumulative energy spectrum value, F. s0 The initial frequency of the wind turbine support structure.

[0063] Step 104: Based on the energy density index curve, select the frequency with the lowest energy density index within the preset range as the optimized frequency for the offshore wind turbine support structure.

[0064] As an optional implementation, based on the energy density index curve, the frequency with the lowest energy density index within a preset range is selected as the optimized frequency for the offshore wind turbine support structure, including:

[0065] Based on the energy density index curve, in [(1-F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimal frequency for the offshore wind turbine support structure.

[0066] Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange The second preset percentage can be in the range of 5% to 10%.

[0067] A lower energy index density indicates less wave energy at that frequency, resulting in less fatigue damage to the offshore wind turbine support structure. This invention combines the wind speed probability from the Weibull distribution with the wave spectrum to obtain the energy spectrum, and then superimposes the energy spectra at different wind speeds to quantitatively determine the wave energy at different frequencies. This allows for the identification of the frequency with the minimum wave energy as the optimal structural frequency, thereby reducing the probability of wave resonance and the load on the support structure.

[0068] This invention also provides a frequency determination system for offshore wind turbine support structures, such as... Figure 6 As shown, the system includes:

[0069] The wave spectrum generation module 601 allows users to obtain wave scatter plots corresponding to each wind speed and generate wave spectra corresponding to different wind speeds based on the wave scatter plots.

[0070] The energy spectrum generation module 602 is used to calculate the probability of wind speed corresponding to each wave spectrum when the frequency optimization of the offshore wind turbine support structure is required, and multiply the probability by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds.

[0071] Optionally, the energy spectrum generation module 602 includes:

[0072] The truncation unit is used to truncate the wave spectrum based on the peak period to obtain the truncated wave spectrum.

[0073] The judgment unit is used to determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the intercepted wave spectrum. If it is within the frequency range, the offshore wind turbine support structure is determined to undergo frequency optimization.

[0074] in,

[0075] The truncation unit is specifically used for:

[0076] The wave spectrum is truncated according to the preset truncation range to obtain the truncated wave spectrum;

[0077] The preset intercept range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage.

[0078] The energy density index curve generation module 603 is used to superimpose the energy spectra according to the energy corresponding to the frequency to obtain the energy density index curve.

[0079] Optionally, the energy spectrum generation module 602 also includes:

[0080] The wind speed probability calculation unit is used to calculate the probability of wind speed corresponding to each wave spectrum based on the Weibull distribution.

[0081] The frequency optimization module 604 is used to select the frequency with the lowest energy density index within a preset range as the optimized frequency for the offshore wind turbine support structure based on the energy density index curve.

[0082] Optional, frequency optimization module 604, specifically used for:

[0083] Based on the energy density index curve, in [(1-F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimal frequency for the offshore wind turbine support structure.

[0084] Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange This is the second preset percentage.

[0085] This invention provides a computer-readable storage medium storing a program that, when executed by a processor, implements the above-described method for determining the frequency of offshore wind turbine support structures.

[0086] This invention provides an electronic device, such as... Figure 7As shown, the electronic device 70 includes at least one processor 701, at least one memory 702 connected to the processor 701, and a bus 703; wherein the processor 701 and the memory 702 communicate with each other through the bus 703; the processor 701 is used to call program instructions in the memory 702 to execute the above-described method for determining the frequency of the offshore wind turbine support structure. The electronic device in this article may be a server, PC, PAD, mobile phone, etc.

[0087] This application also provides a computer program product that, when executed on a data processing device, is adapted to perform a program that initializes the steps included in the above-described method for determining the frequency of an offshore wind turbine support structure.

[0088] This application is described with reference to flowchart illustrations and / or block diagrams of methods, systems, and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0089] In a typical configuration, the device includes one or more processors (CPUs), memory, and a bus. The device may also include input / output interfaces, network interfaces, etc.

[0090] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM, and memory includes at least one memory chip. Memory is an example of computer-readable media.

[0091] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0092] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0094] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0095] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for determining the frequency of an offshore wind turbine support structure, characterized in that, include: Obtain the wave scatter plot corresponding to each wind speed, and generate wave spectra corresponding to different wind speeds based on the wave scatter plot; When the frequency optimization of the offshore wind turbine support structure is required, the probability of the wind speed corresponding to each wave spectrum is calculated, and the probability is multiplied by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds. The energy spectra are superimposed according to the energy corresponding to the frequency to obtain the energy density index curve; Based on the energy density index curve, the frequency with the lowest energy density index within a preset range is selected as the optimized frequency of the offshore wind turbine support structure.

2. The method for determining the frequency of an offshore wind turbine support structure according to claim 1, characterized in that, The wave parameters of the wave spectrum include the peak period. A method for determining whether the offshore wind turbine support structure requires frequency optimization includes: The wave spectrum is truncated based on the peak period to obtain the truncated wave spectrum; Determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the extracted wave spectrum. If it is within the frequency range, then determine whether the offshore wind turbine support structure needs to be frequency optimized.

3. The method for determining the frequency of an offshore wind turbine support structure according to claim 2, characterized in that, The step of truncating the wave spectrum based on the peak period to obtain the truncated wave spectrum includes: The wave spectrum is truncated according to a preset truncating range to obtain the truncated wave spectrum; The preset interception range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage.

4. The method for determining the frequency of an offshore wind turbine support structure according to claim 3, characterized in that, The step of selecting the frequency with the lowest energy density index within a preset range as the optimized frequency for the offshore wind turbine support structure based on the energy density index curve includes: Based on the energy density index curve, in [(1- F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimized frequency for the offshore wind turbine support structure. Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange This is the second preset percentage.

5. A frequency determination system for offshore wind turbine support structures, characterized in that, include: The wave spectrum generation module allows users to obtain wave scatter plots corresponding to each wind speed and generate wave spectra corresponding to different wind speeds based on the wave scatter plots. The energy spectrum generation module is used to calculate the probability of wind speed corresponding to each wave spectrum when the frequency optimization of the offshore wind turbine support structure is required, and multiply the probability by the value of the wave spectrum corresponding to the wind speed to obtain the energy spectrum corresponding to different wind speeds. The energy density index curve generation module is used to superimpose the energy spectra according to the energy corresponding to the frequency to obtain the energy density index curve. The frequency optimization module is used to select the frequency with the lowest energy density index within a preset range as the optimized frequency of the offshore wind turbine support structure based on the energy density index curve.

6. The frequency determination system for offshore wind turbine support structure according to claim 5, characterized in that, The wave parameters of the wave spectrum include the peak period, and the energy spectrum generation module includes: The truncating unit is used to truncate the wave spectrum based on the spectral peak period to obtain the truncated wave spectrum; The judgment unit is used to determine whether the initial frequency of the offshore wind turbine support structure is within the frequency range of the intercepted wave spectrum. If it is within the frequency range, the offshore wind turbine support structure is determined to undergo frequency optimization.

7. The frequency determination system for offshore wind turbine support structure according to claim 6, characterized in that, The interception unit is specifically used for: The wave spectrum is truncated according to a preset truncating range to obtain the truncated wave spectrum; The preset interception range is [(1-F range )*Tp,(1+F range )*Tp], where Tp is the spectral peak period, F range This is the first preset percentage.

8. The frequency determination system for offshore wind turbine support structure according to claim 7, characterized in that, The frequency optimization module is specifically used for: Based on the energy density index curve, in [(1- F range )*F s0 ,(1+F range )*F srange The frequency with the lowest energy density index was selected as the optimized frequency for the offshore wind turbine support structure. Among them, F s0 F is the initial frequency of the offshore wind turbine support structure. srange This is the second preset percentage.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method for determining the frequency of an offshore wind turbine support structure as described in any one of claims 1-4.

10. An electronic device, characterized in that, include: At least one processor, and at least one memory and bus connected to the processor; The processor and the memory communicate with each other via the bus; The processor is used to call program instructions in the memory to execute the offshore wind turbine support structure frequency determination method according to any one of claims 1-4.

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