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Novel method for fault section identification
University of Western Ontario.
Facualty of Electrical and Computer Engineering , University of Tehran, Tehran, Iran. (EMREG)
University of Tehran.
2009 (English)In: 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS), 2009, 179-184 p.Conference paper, Published paper (Refereed)
Abstract [en]

From stability point of view fault section identification is an important task for a transmission systems. In this paper, a novel method for section identification using extended Kalman filter (EKF) has been proposed. Subsynchronous frequency as indicator of fault section identification is estimated by EKF algorithm. Several tests as different fault locations have been performed to show performance of the method. Simulation results reveal high performance of the method. In all tests, the proposed algorithm detects accurately presence of subsynchronous frequency.

Place, publisher, year, edition, pages
2009. 179-184 p.
Keyword [en]
Extended kalman filter (EKF), Fault section identification, Series capacitor, Subsynchronous frequency
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-128589DOI: 10.1109/PEITS.2009.5407040ISBN: 978-1-4244-4544-8 (print)OAI: oai:DiVA.org:kth-128589DiVA: diva2:648194
Conference
2009 2nd Conference on Power Electronics and Intelligent Transportation System, PEITS 2009; Shenzhen, China; 19-20 December 2009
Note

QC 20130919

Available from: 2013-09-13 Created: 2013-09-13 Last updated: 2013-09-19Bibliographically approved

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Baradar, Mohamadreza R
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CiteExportLink to record
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  • apa
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Output format
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