The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 30, 2017

Filed:

Mar. 08, 2013
Applicant:

Korea Electric Power Corporation, Seoul, KR;

Inventors:

Joon Young Park, Daejeon, KR;

Jun Shin Lee, Daejeon, KR;

Jae Kyung Lee, Daejeon, KR;

Ki Yong Oh, Daejeon, KR;

Byoung Mok Park, Daejeon, KR;

Keum Seok Kang, Daejeon, KR;

Moo Sung Ryu, Daejeon, KR;

Seok Tae Kim, Daejeon, KR;

Ji Young Kim, Daejeon, KR;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F03D 9/00 (2016.01); H02P 9/04 (2006.01); F03D 7/00 (2006.01); G06Q 50/10 (2012.01); F03D 7/02 (2006.01); F03D 80/40 (2016.01); F03D 17/00 (2016.01);
U.S. Cl.
CPC ...
F03D 7/00 (2013.01); F03D 7/02 (2013.01); F03D 7/0224 (2013.01); F03D 9/005 (2013.01); F03D 17/00 (2016.05); F03D 80/40 (2016.05); G06Q 50/10 (2013.01); Y02E 10/723 (2013.01);
Abstract

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.


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