Reducing curtailment of wind power generation
US10288038B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2018 |
| Grant date | May 14, 2019 |
| Priority date | — |
| Expiry date | Apr 27, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/72
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
Historical power output measurements of a wind turbine for a time period immediately preceding a specified time are received. Historical wind speed micro-forecasts for the wind turbine for a time periods immediately preceding the specified past time and immediately following the specified past time are received. The historical wind speed micro-forecasts are converted to wind power values. Based on the historical power output measurements and the wind power output values, a machine learning model for predicting wind power output is trained. Real-time power output measurements of the wind turbine and real-time wind speed micro-forecasts for the wind turbine are received. The real-time wind speed micro-forecasts are converted to real-time wind power values. Using the machine learning model with the real-time power output measurements and the real-time wind power values, a wind power output forecast for the wind turbine at a future time is outputted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.