System and method for operating a wind turbine based on rotor blade margin

US9863402B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9863402-B2
Application numberUS-201514621853-A
CountryUS
Kind codeB2
Filing dateFeb 13, 2015
Priority dateFeb 13, 2015
Publication dateJan 9, 2018
Grant dateJan 9, 2018

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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 method for operating a wind turbine. The method includes calculating one or more blade root loads, e.g. a blade root resultant moment, of at least one rotor blade of the wind turbine. Another step includes estimating a span-wise loading of the rotor blade based at least partially on the one or more blade root loads. The method also includes determining a deformation margin of the rotor blade based at least partially on the span-wise loading and one or more estimated deformations occurring on the rotor blade. Another step includes controlling the wind turbine based on the deformation margin.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for operating a wind turbine, the method comprising: calculating, via a processor, one or more blade root resultant moments of at least one rotor blade of the wind turbine as a function of a tip speed ratio and a pitch angle of the rotor blade; estimating, via the processor, a span-wise loading of the rotor blade based on the one or more blade root resultant moments; determining, via the processor, a deformation margin of the rotor blade based at least partially on the span-wise loading and one or more real-time deformations occurring on the rotor blade; and controlling, via the processor, the wind turbine based on the deformation margin. 2. The method of claim 1 , wherein calculating the one or more blade root resultant moments of at least one rotor blade of the wind turbine further comprises: measuring, via one or more sensors, a plurality of operating parameters of the wind turbine; estimating an out-of-plane and in-plane force acting on the rotor blade based at least partially on the plurality of operating parameters; determining an application point of the out-of-plane and in-plane force on a span of the rotor blade; estimating an out-of-plane moment of the rotor blade based at least partially on the out-of-plane force and the out-of-plane application point; estimating an in-plane blade moment of the rotor blade based at least partially on the in-plane force and the in-plane application point; and, calculating the one or more blade root resultant moments acting on the rotor blade based at least partially on the out-of-plane moment and the in-plane moment. 3. The method of claim 1 , wherein estimating the span-wise loading of the rotor blade based on the one or more blade root resultant moments further comprises: determining a real-time operating point of the wind turbine; determining corresponding curve fit coefficients based on the operating point; generating a non-dimensional load shape curve based on the coefficients offline; and scaling the non-dimensional load shape curve up or down based on the one or more blade root resultant moments to create a dimensional curve online. 4. The method of claim 1 , further comprising storing, via a memory device, at least one of the one or more blade root resultant moments, the span-wise loading, or the deformation margin. 5. The method of claim 1 , wherein determining the deformation margin of the rotor blade further comprises: applying a predetermined load distribution to the rotor blade; measuring one or more corresponding margins in response to the predetermined load distribution; and storing the measured corresponding margins in at least one of a map or look-up-table. 6. The method of claim 5 , wherein determining the deformation margin of the rotor blade further comprises: determining an actual load distribution of the rotor blade in real-time; and scaling the measured corresponding margins based on the actual load distribution. 7. The method of claim 1 , wherein the one or more real-time deformations comprise at least one of a strain deformation or a buckling deformation. 8. The method of claim 1 , wherein controlling the wind turbine based on the deformation margin further comprises determining a control parameter based on at least one of a maximum deformation or the deformation margin. 9. The method of claim 8 , further comprising calculating a deformation error as a function of the control parameter and a predetermined threshold and implementing a corrective action based on the error. 10. The method of claim 9 , wherein the corrective action comprises at least one of altering the pitch angle of a rotor blade, modifying a generator torque, modifying the generator speed, modifying the power output, yawing a nacelle of the wind turbine, braking one or more wind turbine components, or activating an airflow modifying element on a rotor blade. 11. A method for controlling loads of a rotor blade of a wind turbine, the method comprising: storing a predetermined deformation margin for the rotor blade in a processor of a controller of the wind turbine; calculating, via the processor, a blade root load of the rotor blade as a function of a tip speed ratio and a pitch angle of the rotor blade; determining, via the processor, a span-wise loading of the rotor blade based at least partially on the blade root load; updating, via the processor, the predetermined deformation margin based at least partially on the span-wise loading or one or more real-time deformations occurring on the rotor blade; and, implementing a corrective action based on the deformation margin. 12. A system for operating a wind turbine, the system comprising: a controller comprising a processor configured to perform one or more operations, the one or more operations comprising: calculating one or more blade root resultant moments of at least one rotor blade of the wind turbine as a function of a tip speed ratio and a pitch angle of the rotor blade; estimating a span-wise loading of the rotor blade based at least partially on the one or more blade root resultant moments; determining a deformation margin of the rotor blade based at least partially on the span-wise loading and one or more estimated deformations occurring on the rotor blade; and controlling the wind turbine based on the deformation margin. 13. The system of claim 12 , wherein calculating the one or more blade root resultant moments of at least one rotor blade of the wind turbine further comprises: measuring, via one or more sensors, a plurality of operating parameters of the wind turbine; estimating an out-of-plane and in-plane force acting on the rotor blade based at least partially on the plurality of operating parameters; determining an application point of the out-of-plane and in-plane force on a span of the rotor blade; estimating an out-of-plane moment of the rotor blade based at least partially on the out-of-plane force and the out-of-plane application point; estimating an in-plane blade moment of the rotor blade based at least partially on the in-plane force and the in-plane application point; and calculating the one or more blade root resultant moments acting on the rotor blade based at least partially on the out-of-plane moment and the in-plane moment. 14. The system of claim 12 , wherein estimating span-wise loading of the rotor blade based on the one or more blade root resultant moments further comprises: determining a real-time operating point of the wind turbine; determining corresponding curve fit coefficients based on the operating point; generating a non-dimensional load shape curve based on the coefficients offline; and scaling the non-dimensional load shape curve up or down based on the one or more blade root resultant moments to create a dimensional curve online. 15. The system of claim 12 , wherein determining the deformation margin of the rotor blade further comprises: applying a predetermined load distribution to the rotor blade; measuring one or more corresponding margins in response to the predetermined load distribution; and storing the measured corresponding margins in at least one of a map or look-up-table. 16. The system of claim 15 , wherein determining the deformation margin of the rotor blade further comprises: determining an actual load distribution of the rotor blade in real-time; and scaling the measured corresponding margins based on the actual load distribution. 17. The system of claim 12 , wherein the one or more deformations comprise at least one of a strain deformati

Assignees

Inventors

Classifications

  • Maximum loads or fatigue criteria · CPC title

  • F03D7/0288Primary

    in relation to clearance between the blade and the tower, i.e. preventing tower strike · CPC title

  • Monitoring or testing of wind motors, e.g. diagnostics (testing during commissioning of wind motors F03D13/30) · CPC title

  • controlling wind motor output power · CPC title

  • F03D7/047Primary

    characterised by the controller architecture, e.g. multiple processors or data communications · CPC title

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What does patent US9863402B2 cover?
The present subject matter is directed to a method for operating a wind turbine. The method includes calculating one or more blade root loads, e.g. a blade root resultant moment, of at least one rotor blade of the wind turbine. Another step includes estimating a span-wise loading of the rotor blade based at least partially on the one or more blade root loads. The method also includes determinin…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification F03D7/0288. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Jan 09 2018 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).