A method, system and electronic device for evaluating fatigue loads of a wind turbine

Abstract

The embodiments of the present application provide a method, a system and an electronic device for evaluating the fatigue load of a wind turbine, which can accurately calculate the fatigue load of the wind turbine and effectively evaluate the safety performance of the wind turbine. The method includes: determining the annual average wind speed and the effective turbulence intensity in different wind speed sections of multiple wind turbine positions in the wind turbine according to fatigue evaluation parameters; selecting multiple representative positions according to the annual average wind speed and the effective turbulence intensity; obtaining the sector turbulence data of multiple representative positions and calculating the corresponding fatigue load; and performing a safety evaluation on the wind turbine according to the fatigue loads corresponding to multiple representative positions. The system includes: a basic data determination unit, a representative position selection unit, a fatigue load calculation unit, and a safety evaluation unit. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor to implement the method for evaluating the fatigue load of the wind turbine.

Description

Technical Field

[0001] One or more embodiments of the present application relate to the technical field of wind power automation control, and in particular, to a method, a system and an electronic device for evaluating the fatigue load of a wind turbine generator set. Background Art

[0002] Before a wind turbine generator set is put into operation, it is necessary to match the wind turbine type according to the wind resource information measured at the wind power site for load calculation and evaluate the operation safety of the unit. For wind farms where the external conditions (such as turbulence level, wind speed, air density, etc.) are all lower than the standard design, the safety review is simple and easy to pass. However, the wind resource information surveyed in most wind farms is complex. The effective turbulence and the corresponding average wind speed in each wind speed section at different wind turbine positions vary greatly, and the turbulence levels in different sectors of each wind turbine position are also inconsistent. For the turbulence at different positions and different sectors, the ultimate load can be used to check its safety by taking the maximum turbulence value. However, if the maximum turbulence and the maximum annual average wind speed of the wind turbine position are still used for load calculation in the fatigue condition, the calculated fatigue load is often too large, which cannot accurately describe the safety performance of the actual wind farm and is difficult to meet the safety design requirements of the unit. Summary of the Invention

[0003] (1) Object of the Invention

[0004] In view of this, the purpose of one or more embodiments of the present application is to provide a method, a system and an electronic device for evaluating the fatigue load of a wind turbine generator set, which can accurately calculate the fatigue load of the wind turbine generator set and is conducive to effectively evaluating the safety performance of the wind turbine generator set.

[0005] (2) Technical Solution

[0006] Based on the above purpose, in the first aspect, an embodiment of the present application provides a method for evaluating the fatigue load of a wind turbine generator set, including:

[0007] Determine the annual average wind speed and the effective turbulence intensity in different wind speed sections of multiple wind turbine positions in the wind turbine generator set based on fatigue evaluation parameters;

[0008] Select multiple representative wind turbine positions according to the annual average wind speed and the effective turbulence intensity;

[0009] Obtain the sector turbulence data of multiple representative wind turbine positions respectively, and calculate the corresponding fatigue load according to the sector turbulence data;

[0010] Perform a safety assessment on the wind turbine generator set according to the fatigue loads corresponding to multiple representative wind turbine positions.

[0011] Optionally, the fatigue evaluation parameters include a first fatigue evaluation parameter and a second fatigue evaluation parameter;

[0012] Determining the annual average wind speed and the effective turbulence intensity in different wind speed ranges for multiple wind turbine positions in a wind farm based on fatigue evaluation parameters, including:

[0013] Calculating and determining the effective turbulence intensity in different wind speed ranges corresponding to the first fatigue evaluation parameter for multiple wind turbine positions by using the SN curve corresponding to the first fatigue evaluation parameter;

[0014] Calculating and determining the effective turbulence intensity in different wind speed ranges corresponding to the second fatigue evaluation parameter for multiple wind turbine positions by using the SN curve corresponding to the second fatigue evaluation parameter.

[0015] Optionally, selecting multiple representative positions according to the annual average wind speed and the effective turbulence intensity. According to the effective turbulence intensity corresponding to the first fatigue evaluation parameter, selecting the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the first representative position;

[0016] Selecting the wind turbine position corresponding to the maximum annual average wind speed according to the annual average wind speed corresponding to the first fatigue evaluation parameter as the second representative position;

[0017] According to the effective turbulence intensity corresponding to the second fatigue evaluation parameter, selecting the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the third representative position;

[0018] Selecting the wind turbine position corresponding to the maximum annual average wind speed according to the annual average wind speed corresponding to the second fatigue evaluation parameter as the fourth representative position.

[0019] Optionally, respectively obtaining the sector turbulence data of multiple representative positions, and calculating the corresponding fatigue loads according to the sector turbulence data, including:

[0020] Extracting the turbulence data of multiple sectors around the representative position, and statistically determining the turbulence frequency in each sector;

[0021] Dividing multiple sectors into multiple groups according to the turbulence data, and calculating the fatigue working conditions of each group of sectors;

[0022] Determining the annual average wind speed of the representative position, and calculating and determining the fatigue load of the representative position according to the annual average wind speed and the fatigue working conditions of multiple groups of sectors.

[0023] Optionally, calculating and determining the fatigue load of the representative position according to the annual average wind speed and the fatigue working conditions of multiple groups of sectors, including:

[0024] Determining the group frequency of each group of sectors according to the turbulence frequencies of multiple sectors;

[0025] Determine the time and frequency corresponding to each sector for the fatigue condition according to the annual average wind speed and the group frequency;

[0026] Calculate the fatigue load according to the fatigue condition and the corresponding time and frequency.

[0027] Optionally, determining and calculating the fatigue condition of each sector includes:

[0028] Determine the fatigue condition corresponding to each group of sectors according to the turbulence data and the turbulence frequency corresponding to each group of sectors, based on the wind power operation condition comparison table.

[0029] Optionally, the safety assessment of the wind turbine according to the fatigue loads corresponding to multiple representative positions includes:

[0030] Determine the operating safety of the wind turbine under the rated wind speed condition by comparing the fatigue load corresponding to the first representative position with the design load of the unit;

[0031] Determine the operating safety of the wind turbine under the maximum annual average wind speed condition by comparing the fatigue load corresponding to the second representative position with the design load of the unit;

[0032] Determine the blade operating safety of the wind turbine under the rated wind speed condition by comparing the fatigue load corresponding to the third representative position with the blade design load;

[0033] Determine the blade operating safety of the wind turbine under the maximum annual average wind speed condition by comparing the fatigue load corresponding to the fourth representative position with the blade design load.

[0034] Optionally, the method further includes:

[0035] When the safety assessment of the wind turbine according to the fatigue load fails, reselect representative positions at multiple wind turbine positions according to the effective turbulence intensity and the annual average wind speed for safety assessment.

[0036] For the same purpose, in a second aspect, an embodiment of the present application further provides a wind turbine fatigue load assessment system, including:

[0037] A basic data determination unit, configured to determine the annual average wind speed of multiple wind turbine positions in the wind turbine and the effective turbulence intensity in different wind speed sections based on fatigue assessment parameters;

[0038] A representative position selection unit, configured to select multiple representative positions according to the annual average wind speed and the effective turbulence intensity;

[0039] A fatigue load calculation unit, configured to respectively obtain sector turbulence data of a plurality of the representative wind turbine positions, and calculate corresponding fatigue loads according to the sector turbulence data; and

[0040] A safety assessment unit, configured to perform a safety assessment on the wind turbine according to the fatigue loads corresponding to the plurality of the representative wind turbine positions;

[0041] The wind turbine fatigue load assessment system is used to execute the wind turbine fatigue load assessment method as described in the first aspect.

[0042] For the same purpose, in a third aspect, an embodiment of the present application further provides an electronic device for wind turbine fatigue load assessment, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the wind turbine fatigue load assessment method as described in the first aspect.

[0043] (III) Beneficial effects

[0044] As can be seen from the above, a wind turbine fatigue load assessment method, system, and electronic device provided by one or more embodiments of the present application have the following beneficial technical effects:

[0045] (1) First, corresponding wind speed data and turbulence data of the wind turbine are obtained based on fatigue assessment parameters as the data basis for subsequent analysis. The fatigue assessment parameters include a first fatigue assessment parameter and a second fatigue assessment parameter. The determined wind speed data and turbulence data of the wind turbine are respectively used to analyze the two aspects of the operation safety of the unit and the operation safety of the blade, ensuring the comprehensiveness and reliability of the operation safety assessment of the wind turbine as a whole.

[0046] (2) A plurality of representative wind turbine positions are selected from a plurality of wind turbine positions of the wind turbine according to the annual average wind speed and the effective turbulence intensity, and then the fatigue loads are determined by performing fatigue condition analysis on the representative wind turbine positions. Among them, when selecting the representative wind turbine positions, the wind turbine positions corresponding to two typical working conditions related to the rated wind speed and the maximum annual average wind speed are selected as the representative wind turbine positions. Through the analysis and calculation of the fatigue loads of the representative wind turbine positions, the analysis and calculation of the fatigue load conditions under typical working conditions of the wind turbine can be realized, and then the safety performance assessment of the corresponding typical working conditions can be realized. By adopting such a method, a comprehensive and detailed calculation assessment of the overall operation safety performance of the wind turbine can be realized.

[0047] (2) When conducting fatigue condition analysis on representative positions, the method of grouped management of sector turbulence for representative positions is adopted to determine the accurate frequency and wind speed data corresponding to the grouped sectors, and further accurately assign the time and frequency parameters of the fatigue condition of the representative positions, so as to accurately calculate the fatigue loads of each representative position, provide accurate data basis for subsequent safety operation assessment, and ensure the accuracy and effectiveness of the safety assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in one or more embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only one or more embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0049] Figure 1 Schematic diagram of a method for evaluating fatigue loads of a wind turbine provided by one or more embodiments of the present application;

[0050] Figure 2 Schematic diagram of a method for calculating fatigue loads of representative positions in a method for evaluating fatigue loads of a wind turbine provided by one or more embodiments of the present application;

[0051] Figure 3 Schematic diagram of a system for evaluating fatigue loads of a wind turbine provided by one or more embodiments of the present application;

[0052] Figure 4 Schematic diagram of the structure of an electronic device for evaluating fatigue loads of a wind turbine provided by one or more embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] To make the objectives, technical solutions, and advantages of the present disclosure clearer, the following further describes the present disclosure in detail with reference to specific embodiments and the accompanying drawings.

[0054] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present application should have the ordinary meaning understood by those of ordinary skill in the art to which the present disclosure pertains. The terms "first", "second" and similar words used in one or more embodiments of the present application do not denote any order, quantity or importance, but are only used to distinguish different components. Words such as "including" or "comprising" mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. Words such as "upper", "lower", "left" and "right" are only used to represent relative position relationships, and when the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0055] In a first aspect, an embodiment of the present application provides a method for evaluating the fatigue load of a wind turbine.

[0056] As Figure 1 shown, a method for evaluating the fatigue load of a wind turbine provided by one or more alternative embodiments of the present application includes:

[0057] S1: Determine the annual average wind speed of multiple wind turbine positions in the wind turbine and the effective turbulence intensity in different wind speed sections based on fatigue evaluation parameters.

[0058] The annual average wind speed of the multiple wind turbine positions can be determined according to the historical environmental record data of the corresponding wind farm of the wind turbine. The effective turbulence intensity of the multiple wind turbine positions in the wind turbine in different wind speed sections can be determined by simulation calculation based on the material properties of the wind turbine and the life-stress (SN) curve.

[0059] In some alternative embodiments, the fatigue evaluation parameters include a first fatigue evaluation parameter and a second fatigue evaluation parameter. The effective turbulence intensity of the multiple wind turbine positions corresponding to the first fatigue evaluation parameter in different wind speed sections can be calculated and determined by combining the SN curve corresponding to the first fatigue evaluation parameter with the original turbulence data. The effective turbulence intensity of the multiple wind turbine positions corresponding to the second fatigue evaluation parameter in different wind speed sections can be calculated and determined by using the SN curve corresponding to the second fatigue evaluation parameter.

[0060] Among them, the value of the first fatigue assessment parameter m1 can be set to 4, and the value of the second fatigue assessment parameter m2 can be set to 10. The effective turbulence intensity corresponding to the first fatigue assessment parameter m1 = 4 is used to evaluate the safety of the unit. The effective turbulence intensity corresponding to the second fatigue assessment parameter m2 = 10 is used to evaluate the safety of the unit.

[0061] S2: Select a plurality of representative positions in the wind turbine according to the annual average wind speed and the effective turbulence intensity.

[0062] A plurality of representative positions corresponding to various working environment conditions can be selected from a plurality of wind turbine positions of the wind turbine according to the annual average wind speed and the effective turbulence intensity. In some alternative embodiments, the first representative position corresponding to the rated wind speed and the second representative position corresponding to the maximum annual average wind speed can be selected from a plurality of wind turbine positions according to the effective turbulence intensity corresponding to the first fatigue assessment parameter and the annual average wind speed. Similarly, the third representative position corresponding to the rated wind speed and the fourth representative position corresponding to the maximum annual average wind speed can be selected from a plurality of wind turbine positions according to the effective turbulence intensity corresponding to the second fatigue assessment parameter and the annual average wind speed.

[0063] Among them, the first representative position and the third representative position correspond to the rated wind speed working condition, while the second representative position and the fourth representative position correspond to the maximum annual average wind speed working condition. S3: Obtain the sector turbulence data of a plurality of the representative positions respectively, and calculate the corresponding fatigue loads according to the sector turbulence data.

[0064] For the first representative position, the second representative position, the third representative position and the fourth representative position, the analysis can be carried out respectively according to the corresponding sector turbulence data to determine the fatigue loads under the typical wind power operation working conditions corresponding to each representative position.

[0065] S4: Perform a safety assessment on the wind turbine according to the fatigue loads corresponding to a plurality of the representative positions.

[0066] In the wind turbine fatigue load assessment method, first, the wind speed data and turbulence data of the corresponding wind turbine phase are obtained based on the first fatigue assessment parameter and the second fatigue assessment parameter. These two aspects of data are respectively used to analyze the operation safety of the unit and the operation safety of the blades, ensuring the comprehensiveness of the operation safety assessment of the wind turbine as a whole. Corresponding to the operation safety assessment of the unit and the operation safety assessment of the blades, representative positions related to the rated wind speed and two typical working conditions related to the maximum annual average wind speed are respectively selected. Then, the fatigue load is determined by analyzing the fatigue working conditions of the representative positions, and thus the safety performance assessment of the corresponding typical working conditions can be realized. By adopting such a method, a comprehensive, detailed and accurate calculation assessment of the overall operation safety performance of the wind turbine can be achieved.

[0067] In a wind turbine fatigue load assessment method provided by one or more alternative embodiments of the present application, the selection of multiple representative positions according to the annual average wind speed and the effective turbulence intensity includes:

[0068] According to the effective turbulence intensity corresponding to the first fatigue assessment parameter, select the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the first representative position. The selected first representative position is used to evaluate the safe operation of the unit under the working condition of the rated wind speed.

[0069] According to the annual average wind speed corresponding to the first fatigue assessment parameter, select the wind turbine position corresponding to the maximum annual average wind speed as the second representative position. The selected second representative position is used to evaluate the safe operation of the unit under the working condition of the maximum annual average wind speed.

[0070] According to the effective turbulence intensity corresponding to the second fatigue assessment parameter, select the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the third representative position. The selected third representative position is used to evaluate the safe operation of the blade under the working condition of the rated wind speed.

[0071] According to the annual average wind speed corresponding to the second fatigue assessment parameter, select the wind turbine position corresponding to the maximum annual average wind speed as the fourth representative position. The selected fourth representative position is used to evaluate the safe operation of the blade under the working condition of the maximum annual average wind speed.

[0072] As Figure 2 shown, in a wind turbine fatigue load assessment method provided by one or more alternative embodiments of the present application, the acquisition of the sector turbulence data of multiple representative positions respectively, and the calculation of the corresponding fatigue load according to the sector turbulence data includes:

[0073] S201: Extract the turbulence data of multiple sectors around the representative position, and statistically determine the turbulence frequency in each sector.

[0074] The area around the representative position can be divided into multiple sectors. For example, it can be divided into 16 sectors with an angle of 22.5° for each sector, or 12 sectors with an angle of 30° for each sector. The specific sector division can be flexibly adjusted according to the actual situation. Generally, the way of dividing into 16 sectors is more commonly adopted.

[0075] S202: Divide the multiple sectors into multiple groups according to the turbulence data, and determine the fatigue working conditions of each group of sectors.

[0076] According to the turbulence data in the multiple sectors, those with similar effective turbulence intensities can be divided into one group, and the turbulence frequencies of each group of sectors are calculated respectively.

[0077] In some alternative embodiments, according to the corresponding turbulence data and turbulence frequencies of each group of sectors, the corresponding fatigue working conditions of each group of sectors can be determined based on the wind power working condition comparison table. The wind power working condition comparison table can be determined according to the wind power standard specification IEC.

[0078] S203: Determine the annual average wind speed of the representative position, and calculate and determine the fatigue load of the representative position according to the annual average wind speed and the fatigue working conditions of multiple groups of sectors.

[0079] In some alternative embodiments, the group frequency of each group of sectors can be determined according to the turbulence frequencies of the multiple sectors.

[0080] Determine the time and frequency of the corresponding fatigue working conditions of each group of sectors according to the annual average wind speed and the group frequency.

[0081] Calculate the fatigue load according to the fatigue working conditions and the corresponding time and frequency.

[0082] In a method for evaluating the fatigue load of a wind turbine provided in one or more alternative embodiments of the present application, the safety assessment of the wind turbine according to the corresponding fatigue loads of multiple representative positions includes:

[0083] Determine the operating safety of the wind turbine under the rated wind speed condition by comparing the fatigue load corresponding to the first representative position with the design load of the unit.

[0084] Determine the operating safety of the wind turbine under the maximum annual average wind speed condition by comparing the fatigue load corresponding to the second representative position with the design load of the unit.

[0085] Determine the blade operation safety of the wind turbine under rated wind speed conditions by comparing the fatigue load corresponding to the third representative wind turbine position with the blade design load.

[0086] Determine the blade operation safety of the wind turbine under the maximum annual average wind speed conditions by comparing the fatigue load corresponding to the fourth representative wind turbine position with the blade design load.

[0087] In a method for evaluating the fatigue load of a wind turbine provided in one or more alternative embodiments of the present application, when the safety assessment of the wind turbine based on the fatigue load fails, then reselect representative wind turbine positions for safety assessment according to the effective turbulence intensity and the annual average wind speed at multiple wind turbine positions.

[0088] In some alternative embodiments, select the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the first representative wind turbine position. If the safety assessment based on the first representative wind turbine position fails, then the wind turbine position with the second largest effective turbulence intensity near the rated wind speed can be selected as the new first representative wind turbine position. If it still fails, then select the wind turbine position with the next lower effective turbulence intensity. When the safety assessment based on the second representative wind turbine position fails, then select the wind turbine position with the second largest annual average wind speed as the new second representative wind turbine position. If it still fails, then select the wind turbine position with the next lower annual average wind speed. Similarly, the third representative wind turbine position and the fourth representative wind turbine position can also be reselected in this way. Until finally the safety assessments based on the selected representative wind turbine positions all pass. At this time, the selection and adjustment of the positions of multiple wind turbine positions in the wind turbine can be guided according to the finally determined representative wind turbine positions.

[0089] It should be noted that the method of the embodiments of the present disclosure can be executed by a single device, such as a computer or a server, etc. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In this case of a distributed scenario, one of these multiple devices can only execute one or more steps of the method of the embodiments of the present disclosure, and these multiple devices will interact with each other to complete the described method.

[0090] It should be noted that some embodiments of the present disclosure have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the above embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The following is an illustration with specific embodiments.

[0092] As shown in Table 1 below, it is the effective turbulence intensity of multiple wind turbine positions. The external conditions of this wind farm are as follows: The model matches the 3.6MW / 146 unit, the tower height is 140m, the air density is 1.19kg / m^3, the absolute average inflow angle is 2deg, and the cut-in, cut-out, and rated wind speeds are 3m / s, 20m / s, and 9.5m / s respectively. There are a total of 10 wind turbine positions in the wind farm.

[0093] Table 1

[0094]

[0095]

[0096] Select representative wind turbine positions according to the effective turbulence intensity data of the above-mentioned multiple wind turbine positions. Among the turbulences of each wind turbine position (m1 = 4), the turbulence at the W7 wind turbine position near the rated wind speed is the largest, and the annual average wind speed at the W9 wind turbine position is the largest among all wind turbine positions. Select the W7 and W9 wind turbine positions respectively to conduct fatigue load checks on the wind turbines. Among them, the W7 wind turbine position represents W1, W2, W4, W5, W7, W10, and the W9 wind turbine position represents W3, W6, W8, W9.

[0097] The following only takes the representative wind turbine position W7 as an example for illustration.

[0098] Manage the turbulences of 12 sectors of the representative wind turbine position W7. Divide the sectors with similar turbulences near the rated wind speed among the 12 sectors into one group, and divide them into three groups, denoted as S1, S2, and S3. Calculate the fatigue conditions under the turbulences of the three groups respectively according to the IEC plan. Then, according to the frequency distribution of the 12 sectors of the W7 wind turbine position, calculate the frequencies f1, f2, and f3 occupied by the S1, S2, and S3 types of partitions respectively. Combine the larger annual average wind speed in its representative wind turbine positions to assign time and frequency to the fatigue conditions, as shown in Table 2 below.

[0099] Table 2

[0100]

[0101]

[0102] Finally, according to the time and frequency assignment of the fatigue conditions, calculate the fatigue load of the W7 wind turbine position unit and output the fatigue load report of the W7 wind turbine position.

[0103] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present disclosure also provides a wind turbine fatigue load assessment system.

[0104] Reference Figure 3 , the wind turbine fatigue load assessment system includes:

[0105] The basic data determination unit 301 is configured to determine the annual average wind speed and the effective turbulence intensity in different wind speed ranges of multiple wind turbine positions in a wind turbine based on fatigue assessment parameters;

[0106] The representative position selection unit 302 is configured to select multiple representative positions according to the annual average wind speed and the effective turbulence intensity;

[0107] The fatigue load calculation unit 303 is configured to respectively obtain the sector turbulence data of multiple said representative positions, and calculate the corresponding fatigue loads according to the sector turbulence data; and

[0108] The safety assessment unit 304 is configured to perform a safety assessment on the wind turbine according to the fatigue loads corresponding to multiple said representative positions.

[0109] For the convenience of description, when describing the above system, various module units are described separately according to functions. Of course, when implementing the present disclosure, the functions of each module can be implemented in one or more software and / or hardware.

[0110] The device of the above embodiment is used to implement the corresponding wind turbine fatigue load assessment method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be elaborated herein.

[0111] Based on the same inventive concept, corresponding to the method in any of the above embodiments, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the wind turbine fatigue load assessment method described in any of the above embodiments when executing the program.

[0112] Figure 4 FIG. shows a more specific schematic diagram of the hardware structure of the electronic device provided in this embodiment. The device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. Among them, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are communicatively connected to each other inside the device through the bus 1050.

[0113] The processor 1010 may be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is configured to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0114] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage devices, dynamic storage devices, etc. The memory 1020 can store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1020 and called and executed by the processor 1010.

[0115] The input / output interface 1030 is used to connect to the input / output module to achieve information input and output. The input / output module can be configured as a component in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Among them, the input device can include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device can include a display, a speaker, a vibrator, an indicator light, etc.

[0116] The communication interface 1040 is used to connect to a communication module (not shown in the figure) to achieve communication interaction between this device and other devices. Among them, the communication module can achieve communication through a wired method (such as USB, network cable, etc.) or through a wireless method (such as a mobile network, WIFI, Bluetooth, etc.).

[0117] The bus 1050 includes a path for transmitting information between various components of the device (such as the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0118] It should be noted that although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040, and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary for implementing the solutions of the embodiments of this specification and does not have to include all the components shown in the figure.

[0119] The electronic device in the above embodiment is used to implement the corresponding wind turbine fatigue load assessment method in any of the foregoing embodiments and has the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0120] Based on the same inventive concept, corresponding to the method in any of the above embodiments, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the wind turbine fatigue load assessment method as described in any of the foregoing embodiments.

[0121] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, 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, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0122] The computer instructions stored in the storage medium of the above embodiment are used to cause the computer to execute the wind turbine fatigue load assessment method described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0123] Those of ordinary skill in the art should understand that: the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the concept of the present disclosure, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations in different aspects of one or more embodiments of the present application as described above, which are not provided in detail for the sake of brevity.

[0124] In addition, for simplicity of explanation and discussion, and in order not to make one or more embodiments of the present application difficult to understand, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. In addition, the device may be shown in block diagram form to avoid making one or more embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of the present application are to be implemented (i.e., these details should be completely within the understanding of those skilled in the art). In the case where specific details (such as circuits) are set forth to describe the exemplary embodiments of the present disclosure, it will be apparent to those skilled in the art that one or more embodiments of the present application can be implemented without these specific details or with variations of these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0125] Although the present disclosure has been described in connection with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0126] One or more embodiments of this application are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims. Accordingly, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this application shall be included within the scope of protection of the present disclosure.

Claims

1. A method for evaluating the fatigue load of a wind turbine, characterized in that, Including: Determining the annual average wind speed and the effective turbulence intensity in different wind speed segments of multiple wind turbine positions in a wind turbine based on fatigue evaluation parameters, where the fatigue evaluation parameters include a first fatigue evaluation parameter and a second fatigue evaluation parameter; Selecting multiple representative positions according to the annual average wind speed and the effective turbulence intensity, including: selecting the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the first representative position according to the effective turbulence intensity corresponding to the first fatigue evaluation parameter; selecting the wind turbine position corresponding to the maximum annual average wind speed as the second representative position according to the annual average wind speed corresponding to the first fatigue evaluation parameter; selecting the wind turbine position with the maximum effective turbulence intensity near the rated wind speed as the third representative position according to the effective turbulence intensity corresponding to the second fatigue evaluation parameter; selecting the wind turbine position corresponding to the maximum annual average wind speed as the fourth representative position according to the annual average wind speed corresponding to the second fatigue evaluation parameter; Respectively obtaining the sector turbulence data of multiple said representative positions, and calculating the corresponding fatigue loads according to the sector turbulence data; Performing a safety assessment on the wind turbine according to the fatigue loads corresponding to multiple said representative positions.

2. The method according to claim 1, wherein The determining the annual average wind speed and the effective turbulence intensity in different wind speed segments of multiple wind turbine positions in a wind turbine based on fatigue evaluation parameters includes: Calculating and determining the effective turbulence intensity in different wind speed segments corresponding to the first fatigue evaluation parameter of multiple said wind turbine positions by using the SN curve corresponding to the first fatigue evaluation parameter; Calculating and determining the effective turbulence intensity in different wind speed segments corresponding to the second fatigue evaluation parameter of multiple said wind turbine positions by using the SN curve corresponding to the second fatigue evaluation parameter.

3. The method according to claim 1, characterized in that, The respectively obtaining the sector turbulence data of multiple said representative positions and calculating the corresponding fatigue loads according to the sector turbulence data includes: Extracting the turbulence data of multiple sectors around the representative position, and statistically determining the turbulence frequency in each said sector; Dividing multiple said sectors into multiple groups according to the turbulence data, and determining the fatigue conditions of each group of sectors; Determining the annual average wind speed of the representative position, and calculating and determining the fatigue load of the representative position according to the annual average wind speed and the fatigue conditions of multiple groups of sectors.

4. The method according to claim 3, characterized in that The calculating and determining the fatigue load of the representative position according to the annual average wind speed and the fatigue conditions of multiple groups of sectors includes: Determining the group frequency of each group of sectors according to the turbulence frequencies of multiple said sectors; Determining the time and frequency of each group of sectors corresponding to the fatigue conditions according to the annual average wind speed and the group frequency; Calculating the fatigue load according to the fatigue conditions and the corresponding time and frequency.

5. The method according to claim 3, wherein The determining the fatigue conditions of each group of sectors includes: Determining the fatigue conditions corresponding to each group of sectors according to the turbulence data and the turbulence frequency corresponding to each group of sectors based on the wind power operation condition comparison table.

6. The method according to claim 1, characterized in that, The performing a safety assessment on the wind turbine according to the fatigue loads corresponding to multiple said representative positions includes: Determine the operation safety of the wind turbine under the rated wind speed by comparing the fatigue load corresponding to the first representative wind turbine position with the design load of the unit; Determine the operation safety of the wind turbine under the maximum annual average wind speed by comparing the fatigue load corresponding to the second representative wind turbine position with the design load of the unit; Determine the blade operation safety of the wind turbine under the rated wind speed by comparing the fatigue load corresponding to the third representative wind turbine position with the blade design load; Determine the blade operation safety of the wind turbine under the maximum annual average wind speed by comparing the fatigue load corresponding to the fourth representative wind turbine position with the blade design load.

7. The method according to claim 1, wherein Further include: When the safety assessment of the wind turbine based on the fatigue load fails, re-select representative wind turbine positions for safety assessment according to the effective turbulence intensity and the annual average wind speed at multiple wind turbine positions.

8. A fatigue load assessment system for a wind turbine unit, characterized in that, Include: A basic data determination unit for determining the annual average wind speed of multiple wind turbine positions in the wind turbine and the effective turbulence intensity in different wind speed sections based on fatigue assessment parameters; A representative wind turbine position selection unit for selecting multiple representative wind turbine positions according to the annual average wind speed and the effective turbulence intensity; A fatigue load calculation unit for respectively obtaining the sector turbulence data of multiple representative wind turbine positions and calculating the corresponding fatigue load according to the sector turbulence data; And A safety assessment unit for performing a safety assessment of the wind turbine according to the fatigue loads corresponding to multiple representative wind turbine positions; The wind turbine fatigue load assessment system is used to execute the wind turbine fatigue load assessment method according to any one of claims 1 to 7.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

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