Data mining based approach for online calibration of phasor measurement unit (PMU)
US10551471B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 18, 2017 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Jul 2, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/22
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement system (WAMS) based applications. In general, existing PMU calibration methods include offline testing and model based approaches. However, in practice, the effectiveness of both is limited due to the very strong assumptions employed. This invention presents a novel framework for online error detection and calibration of PMU measurement using density-based spatial clustering of applications with noise (DBSCAN) based on much relaxed assumptions. With a new problem formulation, the proposed data mining based methodology is applicable across a wide spectrum of practical conditions and one side-product of it is more accurate transmission line parameters for the energy management system (EMS) database and protective relay settings. Case studies are presented to demonstrate the effectiveness of the proposed method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.