Method of automatically calculating power curve limit for power curve monitoring of wind turbine

US9664176B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9664176-B2
Application numberUS-201314418922-A
CountryUS
Kind codeB2
Filing dateMar 8, 2013
Priority dateSep 18, 2012
Publication dateMay 30, 2017
Grant dateMay 30, 2017

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  4. Key dates

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  5. First independent claim

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Abstract

Official abstract text for this publication.

The present invention provides a method of automatically calculating a power curve limit for the power curve monitoring of a wind turbine that may set an optimal power curve limit by automatically calculating a power curve limit for power curve monitoring even if wind speed-power data measured at a wind turbine includes a large amount of abnormal data in addition to normal data. To this end, the present invention includes: classifying, by an input data classifying unit, the input data on wind power generation through a variable speed bin; calculating, by a power calculating unit, a power average value and standard deviation for each bin for the classified input data; estimating, by a power curve estimating unit, a power curve for the calculated power average value for each bin; searching for, by a limit searching unit, an accurate power curve limit while moving the estimated power curve; and setting, by a data extracting unit, the data included in the accurate power curve limit as new input data.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of automatically calculating power curve limits for power curve monitoring of a wind turbine, comprising: a first operation of classifying input data of wind power generation through variable speed bins by an input data classification unit; a second operation of calculating a first mean value and a standard deviation of power for each bin for the classified input data by a power calculation unit; a third operation of estimating a power curve for the first mean value of power for each bin by a power curve estimation unit; a fourth operation of searching for accurate power curve limits while shifting the estimated power curve by a limit search unit; and a fifth operation of setting the input data between the accurate power curve limits as new input data by a data extraction unit. 2. The method according to claim 1 , wherein the input data classification unit determines wind speed-power data of the input data based on the variable speed bins according to a bin width given by equation below: Bin Width=1/Number of repetition of entire algorithm loop (m/sec), wherein the entire algorithm loop includes the first to fifth operations. 3. The method according to claim 1 , wherein the power curve estimation unit estimates the power curve using interpolation, based on the first mean value of power for each bin as an input for the interpolation. 4. The method according to claim 3 , wherein the interpolation is cubic B-spline interpolation. 5. The method according to claim 1 , wherein the limit search unit searches for the accurate power curve limits while shifting the power curve leftwards and rightwards or upwards and downwards. 6. The method according to claim 5 , wherein the limit search unit repeatedly shifts the power curve leftwards and rightwards by a distance of a preset velocity until the following inequality is satisfied: PDL i −PDL i−1 <β shift ( i >1), wherein i is the number of repetitions of a limit search algorithm, βshift is a constant for determining whether optimal upper and lower power curve limits are determined at a present stage, and PDL has units of %, and wherein PDL is defined by equation below: PDL i = [ ⁢ ⁢ Number ⁢ ⁢ of ⁢ ⁢ data ⁢ ⁢ present ⁢ ⁢ between ⁢ ⁢ upper and ⁢ ⁢ lower ⁢ ⁢ power ⁢ ⁢ curve ⁢ ⁢ limits Total ⁢ ⁢ number ⁢ ⁢ of ⁢ ⁢ input ⁢ ⁢ data × 100 ] i . 7. The method according to claim 5 , wherein the limit search unit repeatedly shifts the power curve upwards and downwards by a distance of preset power until the following inequality is satisfied: PDL i −PDL i−1 <γ offset ( i >1) where i is the number of repetitions of a limit search algorithm, PDL has units of %, and γ shift is a constant for determining whether accurate upper and lower power curve limits are determined, and wherein PDL is defined by equation below: PDL i = [ ⁢ ⁢ Number ⁢

Assignees

Inventors

Classifications

  • G06Q50/10Primary

    Services · CPC title

  • F03D7/02Primary

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

  • F03D7/0224Primary

    Adjusting blade pitch · CPC title

  • Ice detection; De-icing means · CPC title

  • F03D7/00Primary

    Controlling wind motors  (supplying or distributing electrical power H02J, e.g. arrangements for adjusting, eliminating or compensating reactive power in networks H02J3/18; controlling electric generators H02P, e.g. arrangements for controlling electric generators for the purpose of obtaining a desired output H02P9/00) · CPC title

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What does patent US9664176B2 cover?
The present invention provides a method of automatically calculating a power curve limit for the power curve monitoring of a wind turbine that may set an optimal power curve limit by automatically calculating a power curve limit for power curve monitoring even if wind speed-power data measured at a wind turbine includes a large amount of abnormal data in addition to normal data. To this end, th…
Who is the assignee on this patent?
Korea Electric Power Corp
What technology area does this patent fall under?
Primary CPC classification G06Q50/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 30 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).