Method and system for controlling a quantity of a wind turbine by choosing the controller via machine learning
US11725626B2 · kind B2 · utility
1Cited by
8References
20Claims
0Family size
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Key dates
| Filing date | Mar 27, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Aug 10, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/72
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.