Energy production loss due to high wind hysteresis control

US12228108B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12228108-B2
Application numberUS-202118009921-A
CountryUS
Kind codeB2
Filing dateJun 3, 2021
Priority dateJun 10, 2020
Publication dateFeb 18, 2025
Grant dateFeb 18, 2025

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Abstract

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Aspects of the present invention relate to a computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator. The method comprises: determining a distribution of wind speeds; determining a high wind hysteresis band that comprises wind speed values between an upper threshold and a lower threshold; and predicting energy production loss due to the high wind hysteresis control. The prediction includes: determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur when the generator is shut off by the high wind hysteresis control, determining, based on the distribution and power data, an energy value associated with the wind speeds falling within the hysteresis band over a predetermined time period; and determining the energy production loss by applying the high wind factor to the determined energy value.

First claim

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The invention claimed is: 1. A computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator, the high wind hysteresis control comprising, when a wind speed exceeds an upper hysteresis threshold value, shutting off the wind turbine generator until the wind speed reaches a lower hysteresis threshold value, the method comprising: (a) determining a distribution of wind speeds for a site of the wind turbine generator; (b) determining a high wind hysteresis band for the wind turbine generator that comprises a range of wind speed values between the upper hysteresis threshold value and the lower hysteresis threshold value; and (c) predicting energy production loss due to the high wind hysteresis control, wherein the prediction includes: (c-1) determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur during a period when the wind turbine generator is shut off by the high wind hysteresis control, wherein determining the high wind factor comprises: determining a ratio corresponding to a number of wind speeds entering the hysteresis band from above the upper hysteresis threshold value to a total number of wind speeds entering the hysteresis band from above the upper hysteresis threshold value and below the lower hysteresis threshold value; (c-2) determining, based on the distribution of wind speeds and power data associated with the wind turbine generator, an energy value associated with the wind speeds falling within the hysteresis band over a predetermined time period; and (c-3) determining the energy production loss by applying the high wind factor to the determined energy value. 2. The computer-implemented method of claim 1 , wherein the power data associated with the wind turbine generator is derived from a wind speed-power profile for the wind turbine generator. 3. The computer-implemented method of claim 1 , wherein the power data associated with the wind turbine generator comprises a rated power of the wind turbine generator. 4. The computer-implemented method of claim 1 , wherein the distribution of wind speeds comprises a wind speed-frequency distribution. 5. The computer-implemented method of claim 1 , wherein determining the energy value comprises determining an integral of or an approximation to the integral of a function of the distribution of wind speeds between bounds of the hysteresis band. 6. The computer-implemented method of claim 5 , wherein the energy value is determined using a formula: T ⁢ ∫ v re v cut P ⁡ ( v ) ⁢ f ⁡ ( v ) ⁢ dv where T is a predetermined period of time over which the energy production loss is to be calculated, v cut is an upper hysteresis threshold wind speed value, v re is a lower hysteresis threshold wind speed value, P(v) is a power value at wind speed v, and f(v) is a frequency of the wind speed v in a frequency distribution. 7. The computer-implemented method of claim 1 , wherein the high wind factor is determined based on the distribution of wind speeds. 8. The computer-implemented method of claim 1 , wherein applying the high wind factor to the energy value comprises multiplying the energy value by the ratio corresponding to the number of wind speeds entering the hysteresis band from above the upper hysteresis threshold value to the total number of wind speeds entering the hysteresis band from above the upper hysteresis threshold value and below the lower hysteresis threshold value. 9. The computer-implemented method of claim 8 , wherein the high wind factor is determined using a formula: f ⁡ ( v cut ) f ⁡ ( v cut ) + f ⁡ ( v re ) wherein f(v cut ) and f(v re ) are frequencies of the upper hysteresis threshold and lower hysteresis threshold wind speed values respectively in a frequency distribution of wind speeds. 10. The computer-implemented method of claim 1 , comprising: performing the steps of the method for a plurality of different hysteresis bands; and selecting one of the plurality of hysteresis bands for implementing high wind hysteresis control at the wind turbine generator. 11. The computer-implemented method of claim 10 , comprising determining operational forces and wear associated with each of the plurality of different hysteresis bands, and wherein the selecting of one of the plurality of hysteresis bands is performed based on an analysis comparing the energy production losses and the operational forces and wear associated with each hysteresis band. 12. The computer-implemented method of claim 1 , comprising determining annual energy production of the wind turbine generator, the annual energy production comprising the predicted energy production loss. 13. The computer-implemented method of claim 1 , wherein predicting energy production loss due to the high wind hysteresis control comprises determining an energy gain value associated with the high wind hysteresis control, and determining the energy production loss by applying the energy gain value and the high wind factor to the energy production loss. 14. A computer-readable storage medium comprising instructions which, when executed by a computer, cause the computer to perform an operation for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator, the high wind hysteresis control comprising, when a wind speed exceeds an upper hysteresis threshold value, shutting off the wind turbine generator until the wind speed reaches a lower hysteresis threshold value, the operation comprising: (a) determining a distribution of wind speeds for a site of the wind turbine generator; (b) determining a high wind hysteresis band for the wind turbine generator that comprises a range of wind speed values between the upper hysteresis threshold value and the lower hysteresis threshold value; and (c) predicting energy production loss due to the high wind hysteresis control, wherein the prediction includes: (c-1) determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur during a period when the wind turbine generator is shut off by the high wind

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What does patent US12228108B2 cover?
Aspects of the present invention relate to a computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator. The method comprises: determining a distribution of wind speeds; determining a high wind hysteresis band that comprises wind speed values between an upper threshold and a lower threshold; and predicting energy …
Who is the assignee on this patent?
Vestas Wind Sys As
What technology area does this patent fall under?
Primary CPC classification F03D7/028. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Feb 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).