Utility grid control using a dynamic power flow model
US11099537B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2019 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Nov 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/2639
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.