Loading [MathJax]/extensions/MathMenu.js
Line Outage Localization Using Phasor Measurement Data in Transient State | IEEE Journals & Magazine | IEEE Xplore

Line Outage Localization Using Phasor Measurement Data in Transient State


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 s...Show More

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.
Published in: IEEE Transactions on Power Systems ( Volume: 31, Issue: 4, July 2016)
Page(s): 3019 - 3027
Date of Publication: 17 September 2015

ISSN Information:


References

References is not available for this document.