A fine load ratio method and system for a wind turbine generator system

Abstract

The application discloses a fine load ratio comparison method and system for a wind turbine generator set, and the method comprises the following steps: obtaining measured environmental parameter data from a measured load database; grouping the measured environmental parameter data to form a combination of wind speed-turbulence values, so as to facilitate grouped simulation; obtaining statistical loads of each working condition after simulation, and performing weighted summation on the loads under each wind speed dimension according to the measured environmental turbulence weight, to obtain a final simulation statistical value under the wind speed dimension; and comparing the measured statistical value in the measured load database with the simulation statistical value, to obtain a comparison result. The application has the advantages of simple and quick operation and high comparison efficiency.

Description

Technical Field

[0001] This invention mainly relates to the field of wind power technology, specifically to a method and system for refined load comparison of wind turbine generator sets. Background Technology

[0002] Comparing the measured load results and simulated load results of wind turbines, and analyzing the deviations between the two, is a good method for evaluating and verifying the accuracy of wind turbine load design. The data formats of load test results and load simulation results are different, and reasonable statistical methods are incorporated into the load simulation results to ensure a high degree of similarity to the measured results. Summary of the Invention

[0003] The technical problem to be solved by this invention is: in view of the problems existing in the prior art, this invention provides a method and system for fine load comparison of wind turbine generator sets with high comparison efficiency.

[0004] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows:

[0005] A method for refined load comparison of wind turbine generator sets includes:

[0006] Obtain measured environmental parameter data from the measured load database;

[0007] The measured environmental parameter data are grouped to form a combination of wind speed and turbulence values ​​to facilitate grouped simulation.

[0008] The statistical loads for each working condition after simulation are obtained. Under each wind speed dimension, the loads are weighted and summed according to the turbulence weight of the measured environment to obtain the final simulation statistical values ​​under the wind speed dimension.

[0009] The measured statistical values ​​in the measured load database are compared with the simulated statistical values ​​to obtain the comparison results.

[0010] As a further improvement to the above technical solution:

[0011] After obtaining the comparison results, preview or output them using charts.

[0012] When performing group simulations, wind speed and turbulence are categorized and counted according to the average value over a preset time period.

[0013] The statistical loads for each working condition can be divided into maximum, minimum and average values, and then weighted and summed according to the maximum, minimum and average values.

[0014] The weighting coefficients are determined based on the number of samples of measured environmental turbulence.

[0015] After converting the format of the measured statistical values ​​in the measured load database, they are compared with the simulated statistical values.

[0016] This invention also discloses a refined load comparison device for wind turbine generator sets, including...

[0017] The acquisition module is used to acquire measured environmental parameter data from the measured load database;

[0018] The grouping module groups the measured environmental parameter data into combinations of wind speed and turbulence values ​​to facilitate grouped simulation.

[0019] The statistics module is used to obtain the statistical loads for each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension.

[0020] The comparison module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

[0021] This invention further discloses a refined load comparison system for wind turbine generator sets, including...

[0022] The first module is used to obtain measured environmental parameter data from the measured load database;

[0023] The second module is used to group the measured environmental parameter data to form a combination of wind speed and turbulence values, so as to facilitate grouped simulation.

[0024] The third module is used to statistically obtain the statistical loads of each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension.

[0025] The fourth module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

[0026] The present invention also discloses a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when run by a processor, executes the steps of the refined load comparison method for wind turbine generator sets as described above.

[0027] The present invention further discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program, when run by the processor, executes the steps of the refined load comparison method for wind turbine generator sets as described above.

[0028] Compared with the prior art, the advantages of the present invention are as follows:

[0029] This invention converts the results of test loads and simulated loads, enabling data comparison on the same dimension, and outputs the compared chart data in the form of a report. After the load simulation is completed, this invention performs weighted statistics based on the individual statistical data of the load conditions and the weighting coefficients determined by the wind speed-turbulence grouping, and compares the obtained results with the test results. As the actual test results and the number of samples gradually increase, the load simulation does not need to be repeated; only the weighting coefficients of the updated wind speed-turbulence grouping need to be re-determined, and weighted statistics can be performed using the weighting coefficients, thereby improving the comparison efficiency. Attached Figure Description

[0030] Figure 1 This is a flowchart of an embodiment of the method of the present invention. Detailed Implementation

[0031] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0032] like Figure 1 As shown, the refined load comparison method for wind turbine generator sets in this embodiment includes:

[0033] Obtain measured environmental parameter data from the measured load database;

[0034] The measured environmental parameter data are grouped to form a combination of wind speed and turbulence values ​​to facilitate grouped simulation.

[0035] The statistical loads for each working condition after simulation are obtained. Under each wind speed dimension, the loads are weighted and summed according to the turbulence weight of the measured environment to obtain the final simulation statistical values ​​under the wind speed dimension.

[0036] The measured statistical values ​​in the measured load database are compared with the simulated statistical values ​​to obtain the comparison results.

[0037] Furthermore, after obtaining the comparison results, they can be previewed or output through charts to facilitate comparison.

[0038] In this embodiment, during group simulation, wind speed and turbulence are categorized and counted according to their average values ​​over a preset time period. The statistical loads for each operating condition can be divided into maximum, minimum, and average values, and then weighted and summed according to these values.

[0039] In this embodiment, the weighting coefficients are determined based on the number of samples of measured environmental turbulence.

[0040] In this embodiment, the measured statistical values ​​in the measured load database are converted into a new format and then compared with the simulated statistical values.

[0041] After the load simulation is completed, the present invention performs weighted statistics based on the individual statistical data of the load conditions and the weighting coefficients determined by the wind speed-turbulence grouping, and compares the results with the test results. When the actual test results and the number of samples gradually increase, the load simulation does not need to be repeated. It is only necessary to redetermine the weighting coefficients after the wind speed-turbulence grouping is updated, and perform weighted statistics using the weighting coefficients, thereby improving the comparison efficiency.

[0042] This invention also discloses a refined load comparison device for wind turbine generator sets, including...

[0043] The acquisition module is used to acquire measured environmental parameter data from the measured load database;

[0044] The grouping module groups the measured environmental parameter data into combinations of wind speed and turbulence values ​​to facilitate grouped simulation.

[0045] The statistics module is used to obtain the statistical loads for each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension.

[0046] The comparison module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

[0047] This invention further discloses a refined load comparison system for wind turbine generator sets, including...

[0048] The first module is used to obtain measured environmental parameter data from the measured load database;

[0049] The second module is used to group the measured environmental parameter data to form a combination of wind speed and turbulence values, so as to facilitate grouped simulation.

[0050] The third module is used to statistically obtain the statistical loads of each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension.

[0051] The fourth module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

[0052] The apparatus and system of the present invention, used to perform the method described above, also have the advantages described above.

[0053] The invention will be further illustrated below with reference to a complete specific embodiment:

[0054] a) Import test data from the measured load database, verify the results of the measured data for abnormal data, and convert the format of the data that passes the verification.

[0055] b) Based on the environmental parameters in the measured data, wind speed and turbulence are categorized and counted according to the average value within 10 minutes, and then grouped for simulation.

[0056] c) Perform statistical analysis on the characteristic values ​​such as maximum, minimum, and average values ​​of the simulation results;

[0057] The statistical values ​​obtained from these statistics can be weighted according to the number of samples of measured environmental turbulence under each wind speed dimension. The maximum, minimum and average loads obtained previously can be weighted and summed to obtain the final simulation statistical value under that wind speed dimension.

[0058] d) Compare the statistical values ​​of the measured data with the final values ​​of the simulated statistical values ​​and calculate the percentage difference;

[0059] e) Preview and output the comparison results, such as outputting a data table, and plot a line graph with the average value (or maximum or minimum value) as the vertical axis and the wind speed as the horizontal axis for the statistical values ​​of the load at different wind speeds.

[0060] The formula for weighted summation is described as follows:

[0061] The calculated load value Mj for each wind speed condition is:

[0062]

[0063] in,

[0064]

[0065] Index j is the index of the wind speed group, M j This represents the load in the j-th wind speed group; index i is the index of the turbulence group, M ij This represents the load under the i-th turbulence group and the j-th wind speed group; n ij This represents the number of samples in the i-th turbulence group and the j-th wind speed group; maxTiBin represents the maximum number of turbulence groups.

[0066] This invention also discloses a computer-readable storage medium storing a computer program thereon. When the computer program is run by a processor, it executes the steps of the refined load comparison method for wind turbine generator sets as described above. This invention further discloses a computer device including a memory and a processor. The memory stores a computer program, which, when run by a processor, executes the steps of the refined load comparison method for wind turbine generator sets as described above. This invention can implement all or part of the processes in the methods of the above embodiments, or it can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. Memory can be used to store computer programs and / or modules. The processor performs various functions by running or executing the computer programs and / or modules stored in the memory, and by accessing data stored in the memory. Memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0067] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for refined load comparison of wind turbine generator sets, characterized in that, include: Obtain measured environmental parameter data from the measured load database; The measured environmental parameter data are grouped to form a combination of wind speed and turbulence values ​​to facilitate grouped simulation. The statistical loads for each working condition after simulation are obtained. Under each wind speed dimension, the loads are weighted and summed according to the turbulence weight of the measured environment to obtain the final simulation statistical values ​​under the wind speed dimension. The measured statistical values ​​in the measured load database are compared with the simulated statistical values ​​to obtain the comparison results; The weighting coefficients are determined based on the number of samples of measured environmental turbulence. The statistical loads for each working condition can be divided into maximum, minimum, and average values, and then weighted and summed according to the maximum, minimum, and average values. After converting the format of the measured statistical values ​​in the measured load database, they are compared with the simulated statistical values. The formula for weighted summation is described as follows: Calculated load values ​​for each wind speed condition for: in, index It is the index for wind speed grouping. Indicates the first Loads for each wind speed group; Index It is an index for turbulence grouping. Indicates in the first The turbulent group, and in the turbulent group, and in the Loads under wind speed groups; Indicates in the first The turbulent group, and in the turbulent group, and in the Number of samples in each wind speed group; This indicates the maximum number of groups in the turbulence.

2. The refined load comparison method for wind turbine generator sets according to claim 1, characterized in that, After obtaining the comparison results, preview or output them using charts.

3. The refined load comparison method for wind turbine generator sets according to claim 1, characterized in that, When performing group simulations, wind speed and turbulence are categorized and counted according to the average value over a preset time period.

4. A refined load comparison device for wind turbine generator sets, used to perform the steps of the refined load comparison method for wind turbine generator sets as described in any one of claims 1-3, characterized in that, include The acquisition module is used to acquire measured environmental parameter data from the measured load database; The grouping module groups the measured environmental parameter data into combinations of wind speed and turbulence values ​​to facilitate grouped simulation. The statistics module is used to obtain the statistical loads for each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension. The comparison module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

5. A refined load comparison system for wind turbine generator sets, used to perform the steps of the refined load comparison method for wind turbine generator sets as described in any one of claims 1-3, characterized in that, include The first module is used to obtain measured environmental parameter data from the measured load database; The second module is used to group the measured environmental parameter data to form a combination of wind speed and turbulence values, so as to facilitate grouped simulation. The third module is used to statistically obtain the statistical loads of each working condition after simulation, and to perform weighted summation of the loads according to the turbulence weight of the measured environment under each wind speed dimension to obtain the final simulation statistical value under the wind speed dimension. The fourth module is used to compare the measured statistical values ​​in the measured load database with the simulated statistical values ​​to obtain the comparison results.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is run by the processor, it executes the steps of the refined load comparison method for wind turbine generator sets as described in any one of claims 1 to 3.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is run by the processor, it executes the steps of the refined load comparison method for wind turbine generator sets as described in any one of claims 1 to 3.

Images