Wind turbine yaw offset control based on reinforcement learning
US12037981B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 3, 2020 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Jan 26, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/72
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
Methods, systems, and devices for controlling a yaw offset of an upstream wind turbine based on reinforcement learning are provided. The method includes receiving data indicative of a current state of the first wind turbine and of a current state of a second wind turbine adjacent to the first wind turbine downstream along a wind direction, determining one or more controlling actions associated with the yaw offset of the first wind turbine based on the current state of the first wind turbine, the current state of the second wind turbine, and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the first wind turbine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.