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. 17, 2022

Filed:

May. 22, 2017
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Subhankar Ghosh, Bangalore, IN;

Abhirup Mondal, Bangalore, IN;

Necip Doganaksoy, Niskayuna, NY (US);

Hongyan Liu, Clifton Park, NY (US);

Zhanpan Zhang, Niskayuna, NY (US);

Robert August Kaucic, Niskayuna, NY (US);

Jay Zhiqiang Cao, Clifton Park, NY (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06F 16/48 (2019.01); H02J 3/38 (2006.01); F03D 7/04 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/0639 (2013.01); G06F 16/489 (2019.01); G06Q 10/06375 (2013.01); H02J 3/386 (2013.01); F03D 7/048 (2013.01); F05B 2260/821 (2013.01); F05B 2270/335 (2013.01); H02J 2203/20 (2020.01); Y02E 10/76 (2013.01); Y02E 60/00 (2013.01); Y04S 40/20 (2013.01);
Abstract

The system and method described herein relate to production of power from the wind farm that incorporate tunable power production forecasts for optimal wind farm performance, where the wind farm power production is controlled at least in part by the power production forecasts. The system and method use a tunable power forecasting model to generate tunable coefficients based on asymmetric loss function applied on actual power production data, along with tuning factor(s) that tune forecast towards under forecasting or over forecasting. The power production forecasts are generated using the tunable coefficientsand power characteristic features that are derived from actual power production data. The power production forecasts are monitored for any degradation, and a control action to regenerate the coefficients or retune the model is undertaken if degradation is observed.


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