Optimal power flow control via dynamic power flow modeling
US11575263B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2021 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Mar 12, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.