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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.

Patent No.:

US 11725626 B1

PDFFull Text
Date of Patent:
Aug. 15, 2023

Filed:

Mar. 27, 2020

Method and system for controlling a quantity of a wind turbine by choosing the controller via machine learning

Applicants:

Ifp Energies Nouvelles, Rueil-Malmaison, FR;

Centre National DE LA Recherche Scientifique, Paris, FR;

Universite Grenoble Alpes, Saint Martin d'Heres, FR;

Institut Polytechnique DE Grenoble, Grenoble, FR;

Inventors:

David Collet, Rueil-Malmaison, FR;

Guillaume Sabiron, Rueil-Malmaison, FR;

Domenico Di Domenico, Rueil-Malmaison, FR;

Mazen Al-Amir, Saint Martin d'Heres, FR;

Assignees:

IFP ENERGIES NOUVELLES, Rueil-Malmaison, FR;

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, Paris, FR;

UNIVERSITE GRENOBLE ALPES, Saint Martin d'Heres, FR;

INSTITUT POLYTECHNIQUE DE GRENOBLE, Grenoble, FR;

Attorney:

Fitch, Even, Tabin & Flannery LLP

Primary Examiner:

Pedro J Cuevas

Int. Cl.
CPC ...
F03D 7/02 (2006.01); F03D 7/04 (2006.01);
U.S. Cl.
CPC ...
F03D 7/0224 (2013.01); F03D 7/047 (2013.01); F03D 7/0292 (2013.01); F05B 2260/821 (2013.01); F05B 2260/84 (2013.01); F05B 2270/332 (2013.01); F05B 2270/8042 (2013.01);
Abstract

The present invention relates to a method of controlling a wind turbine by automatic online selection of a controller that minimizes the wind turbine fatigue. The method therefore relies on an (offline constructed) database (BDD) of simulations of a list (LIST) of controllers, and on an online machine learning step for determining the optimal controller in terms of wind turbine (EOL) fatigue. Thus, the method allows automatic selection of controllers online, based on a fatigue criterion, and switching between the controllers according to the measured evolution of wind condition.

Find Patent Forward Citations

Collet, David. (2023). Method and system for controlling a quantity of a wind turbine by choosing the controller via machine learning (U.S. Patent No. 11725626). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11725626

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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