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Line Outage Localization Using Phasor Measurement Data in Transient State

Garcia, Manuel and Catanach, Thomas and Vander Wiel, Scott and Bent, Russell and Lawrence, Earl (2016) Line Outage Localization Using Phasor Measurement Data in Transient State. IEEE Transactions on Power Systems, 31 (4). pp. 3019-3027. ISSN 0885-8950.

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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.

Item Type:Article
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Catanach, Thomas0000-0002-4321-3159
Additional Information:© 2015 IEEE. Manuscript received March 02, 2015; revised June 09, 2015; accepted July 10, 2015. Date of publication September 17, 2015; date of current version May 02, 2016. Paper no. TPWRS-00286-2015.
Subject Keywords:Estimation, power system faults, transient response, uncertainty
Issue or Number:4
Record Number:CaltechAUTHORS:20160603-091450002
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Official Citation:M. Garcia, T. Catanach, S. V. Wiel, R. Bent and E. Lawrence, "Line Outage Localization Using Phasor Measurement Data in Transient State," in IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 3019-3027, July 2016. doi: 10.1109/TPWRS.2015.2461461
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:67643
Deposited By: Tony Diaz
Deposited On:03 Jun 2016 16:20
Last Modified:03 Oct 2019 10:07

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