Systems and methods of bad data identification and recovery for electric power systems
US11480594B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 6, 2020 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Jan 9, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for processing measurement data in an electric power system include acquiring the measurement data by a phasor measurement unit (PMU) coupled to a line of the electric power system, and inputting a plurality of the measurement data within a predetermined time window into a K-nearest neighbor (KNN) for identifying bad data among the plurality of the measurement data, wherein when one of the plurality of measurement data contains a bad datum, the machine learning module sends the bad datum to a denoising autoencoder module for correcting the bad datum, wherein the denoising autoencoder module outputs a corrected part corresponding to the bad datum, and when one of the plurality of measurement data contains no bad datum, the machine learning module bypasses the denoising autoencoder module and outputs the one of the plurality of measurement data as an untouched part.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.