Back to Search
Start Over
Online Detection of Low-Quality Synchrophasor Measurements: A Data-Driven Approach.
- Source :
-
IEEE Transactions on Power Systems . Jul2017, Vol. 32 Issue 4, p2817-2827. 11p. - Publication Year :
- 2017
-
Abstract
- In this paper, an online data-driven approach is proposed for the detection of low-quality synchrophasor measurements. The proposed method leverages the spatio-temporal similarities among multiple-time-instant synchrophasor measurements and formulates the low-quality synchrophasor data as spatio-temporal outliers. A density-based local outlier detection technique is proposed to detect the spatio-temporal outliers. This data-driven approach involves no system modeling information. The detection algorithm can operate under both normal and fault-on system conditions, with fast computation speed suitable for online applications. Case studies on both synthetic and real-world synchrophasor data verify the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858950
- Volume :
- 32
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Systems
- Publication Type :
- Academic Journal
- Accession number :
- 123774089
- Full Text :
- https://doi.org/10.1109/TPWRS.2016.2633462