Methods, systems, and computer readable mediums for determining a system state of a power system using a convolutional neural network
US11544522B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 11, 2019 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Nov 3, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer readable mediums determining a system state of a power system using a convolutional neural network using a convolutional neural network are disclosed. One method includes converting power grid topology data corresponding to a power system into a power system matrix representation input and applying the power system matrix representation input to a plurality of convolutional layers of a deep convolutional neural network (CNN) structure in a sequential manner to generate one or more feature maps. The method further includes applying the one or more feature maps to a fully connected layer (FCL) operation for generating a respective one or more voltage vectors representing a system state of the power system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.