Method and system of hybrid data-and-model-driven hierarchical network reconfiguration
US11831505B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2021 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Apr 25, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method and a system of hybrid data-and-model-driven hierarchical network reconfiguration are provided. Taking into account that the optimal operation structure of the power grid may change after a new energy is connected into the power grid in the distribution manner, this method combines the mathematical model of network reconfiguration and clustering with the deep learning model, and uses data recorded by the smart meter, to reconfigure the network in a hybrid data-and-model driving mode. This method proposes a network compression method and a hierarchical decompression method based on deep learning, and improves the efficiency of network reconfiguration by the way of distributed calculation and combination of on-line and off-line calculation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.