System and method for operating a wind turbine

US9822762B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9822762-B2
Application numberUS-201314104217-A
CountryUS
Kind codeB2
Filing dateDec 12, 2013
Priority dateDec 12, 2013
Publication dateNov 21, 2017
Grant dateNov 21, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The present subject matter is directed to a system and method for operating a wind turbine. The method includes determining an actual operating time for one or more wind turbine components at multiple power levels; determining a corresponding wind condition for each of the operating times at each power level; estimating a loading condition acting on the one or more wind turbine components at the multiple power levels and the corresponding wind conditions; estimating an accumulated fatigue life consumption of the one or more wind turbine components based at least partially on the operating times and the estimated loading conditions; and, operating the wind turbine based on the accumulated fatigue life consumption.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for operating a wind turbine, the method comprising: determining an actual operating time for one or more wind turbine components at multiple output power levels of the wind turbine, wherein determining the actual operating time comprises determining an elapsed number of operating seconds, minutes, or hours that the one or more wind turbine components has operated at each of the multiple output power levels; determining a corresponding wind direction for each of the actual operating times at each of the multiple output power levels of the wind turbine; storing the corresponding wind directions with the actual operating times together in a look-up table; selecting, from the look-up table, a corresponding loading condition acting on the one or more wind turbine components at each of the multiple output power levels of the wind turbine with the corresponding wind directions; estimating an accumulated fatigue life consumption of the one or more wind turbine components based at least partially on the actual operating times and the estimated loading conditions; and, operating the wind turbine at one or more output power levels based on the accumulated fatigue life consumption. 2. The method of claim 1 , wherein one or more of the loading conditions are determined prior to installation of the wind turbine, after installation of the wind turbine, or calibrated based on actual measured loads at different wind conditions. 3. The method of claim 1 , wherein estimating determining the loading condition acting on the one or more wind turbine components at the multiple output power levels and the corresponding wind directions further comprises utilizing one or more look-up tables, wherein the one or more look-up tables comprises operating data of the wind turbine. 4. The method of claim 1 , further comprising determining a turbulence intensity acting on the one or more wind turbine components based at least partially on one of the multiple output power levels of the wind turbine and the corresponding wind directions, and estimating the accumulated fatigue life consumption based on the turbulence intensity. 5. The method of claim 1 , further comprising tracking a plurality of loading conditions over a predetermined time period via one or more sensors, determining a variance between the tracked plurality of loading conditions and the estimated loading condition, and calibrating the estimated loading condition to reflect the variance, wherein the variance is reflective of at least one of a fatigue load or an extreme load acting on the wind turbine. 6. The method of claim 1 , wherein the loading condition acting on the one or more wind turbine components is reflective of at least one of the following: a wind turbine thrust, a blade loading, a tower loading, a shaft loading, a nacelle loading, a pitch bearing loading, a yaw bearing loading, a hub loading, or a pitch- or yaw-bearing loading. 7. The method of claim 1 , wherein determining the accumulated fatigue life consumption of the one or more wind turbine components based at least partially on the operating time and the loading condition further comprises multiplying the operating time and the loading condition. 8. The method of claim 1 , wherein determining the accumulated fatigue life consumption of the one or more wind turbine components further comprises utilizing sensor data from at least one of the wind turbine or an additional wind turbine in the same wind farm or an adjacent wind farm. 9. The method of claim 8 , further comprising calibrating the sensor data from the additional wind turbine. 10. The method of claim 1 , wherein determining the accumulated fatigue life consumption for the one or more wind turbine components based at least partially on the operating times and the loading conditions further comprises: multiplying each of the operating times for each output power level of the wind turbine by the corresponding loading condition to obtain a partial fatigue life consumption; and, adding each of the partial fatigue life consumptions together to obtain the accumulated fatigue life consumption. 11. A method for determining fatigue life consumption of one or more wind turbine components, the method comprising: determining an actual operating time for one or more wind turbine components at multiple output power levels of the wind turbine, wherein determining the actual operating time comprises determining an elapsed number of operating seconds, minutes, or hours that the one or more wind turbine components has operated at each of the multiple output power levels; determining a corresponding wind condition for each of the operating times at each of the multiple output power levels of the wind turbine; storing the corresponding wind conditions with the actual operating times together in a look-up table; selecting, from the look-up table, a corresponding loading condition acting on the one or more wind turbine components at each of the multiple output power levels of the wind turbine and the corresponding wind conditions; estimating an accumulated fatigue life consumption for the one or more wind turbine components based on the actual operating times and the loading conditions; and operating the wind turbine at one or more output power levels based on the accumulated fatigue life consumption. 12. A system for operating a wind turbine, the system comprising: a processor configured to: determine an elapsed number of operating seconds, minutes, or hours that one or more wind turbine components has operated at each of multiple output power levels of the wind turbine; determine at least one corresponding wind direction for each of the elapsed operating seconds, minutes, or hours at each output power level of the wind turbine; store the corresponding wind directions with the elapsed number of operating seconds, minutes, or hours together in a look-up table; select, from the look-up table, a loading condition acting on the one or more wind turbine components at the multiple output power levels of the wind turbine based on and the corresponding wind conditions; and, estimate an accumulated fatigue life consumption of the one or more wind turbine components as a function of the operating times and the loading conditions; and, a controller communicatively coupled to the processor, the controller configured to operate the wind turbine at one or more output power levels based on the accumulated fatigue life consumption. 13. The system claim 12 , wherein the processor is further configured to: estimate a turbulence intensity acting on the one or more wind turbine components based at least partially on one of the multiple output power levels of the wind turbine and the corresponding wind direction; and, estimate the accumulated fatigue life consumption based on the turbulence intensity. 14. The system of claim 12 , further comprising tracking a plurality of loading conditions over a predetermined time period via one or more sensors, determining a variance between the tracked plurality of loading conditions and the estimated loading condition, and calibrating the estimated loading condition to reflect the variance, wherein the variance is reflective of at least one of a fatigue load or an extreme load acting on the wind turbine. 15. The system of claim 12 , wherein the loading condition acting on the one or more wind turbine components is reflective of at least one of the following: a wind turbine thrust, a blade loading, a tower loading, a shaft loading, a nacelle loading, a hub loading, or a pitch-or yaw-bearing loading.

Assignees

Inventors

Classifications

  • Wind turbines with rotation axis in wind direction · CPC title

  • the wind motors having rotation axis substantially parallel to the air flow entering the rotor · CPC title

  • F03D7/0292Primary

    to reduce fatigue · CPC title

  • Mechanical loads · CPC title

  • Cross-Sectional Technologies · mapped topic

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Frequently asked questions

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What does patent US9822762B2 cover?
The present subject matter is directed to a system and method for operating a wind turbine. The method includes determining an actual operating time for one or more wind turbine components at multiple power levels; determining a corresponding wind condition for each of the operating times at each power level; estimating a loading condition acting on the one or more wind turbine components at th…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification F03D7/0292. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Nov 21 2017 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).