Method for PMU data recovery using an improved cubic spline interpolation and singular value decomposition
US11144023B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2021 |
| Grant date | Oct 12, 2021 |
| Priority date | — |
| Expiry date | Jan 25, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/30
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A data recovery method framework is described, in which the data is classified as either ambient or disturbance data, and recovered by different methods to achieve good performance efficiently. An approach based on decision tree is described for identifying ambient and disturbance data. Then, an improved cubic spline interpolation based on the priority allocation strategy is described for ambient data loss, which can quickly and accurately recover ambient data. Simultaneously, a disturbance data recovery method based on singular value decomposition is described. It can achieve disturbance data recovery accurately by a single channel of measurement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.