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Line Outage Localization Using Phasor Measurement Data in Transient State.
- Source :
- IEEE Transactions on Power Systems; Jul2016, Vol. 31 Issue 4, p3019-3027, 9p
- Publication Year :
- 2016
-
Abstract
- This paper introduces a statistical classifier that quickly locates line outages in a power system utilizing only time series phasor measurement data sampled during the system's transient response to the outage. The presented classifier is a linear multinomial regression model that is trained by solving a maximum likelihood optimization problem using synthetic data. The synthetic data is produced through dynamic simulations which are initialized by random samples of a forecast load/generation distribution. Real time computation of the proposed classifier is minimal and therefore the classifier is capable of locating a line outage before steady state is reached, allowing for quick corrective action in response to an outage. In addition, the output of the classifier fits into a statistical framework that is easily accessible. Specific line outages are identified as being difficult to localize and future improvements to the classifier are proposed. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 08858950
- Volume :
- 31
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Power Systems
- Publication Type :
- Academic Journal
- Accession number :
- 115245711
- Full Text :
- https://doi.org/10.1109/TPWRS.2015.2461461