Application of one- And two-ended impedance based fault location algorithms for distance protection

Wolf M, Prommetta J, Jäger J (2020)

Publication Type: Conference contribution, Original article

Publication year: 2020

Publisher: VDE Verlag GmbH

Pages Range: 94-99

Conference Proceedings Title: PESS 2020 - IEEE Power and Energy Student Summit, Conference Proceedings

Event location: Darmstadt DE

ISBN: 9783800753383

Abstract

In this paper the use of communication based fault locating algorithms for distance protection is discussed. The goal is to compensate various error sources regarding the reactance measurement i.e. the fault location. First, state-of-the-art distance protection algorithms and their problems in fault locating are presented. After identifying prefault loadflow and network inhomogeneity combined with a fault resistance as the main sources for measurement errors, methods are presented that are able to compensate these error sources. The algorithms are validated on a Simulink model of a double side supplied line. The results indicate that by using the communication based algorithms the determination of the fault location can be improved as their calculation method is independent of prefault loadflow and network inhomogeneity, whereas the state-of-the-art methods display significant inaccuracies.

Authors with CRIS profile

Michael Wolf Professur für Elektrische Energieversorgung Jonas Prommetta Professur für Elektrische Energieversorgung Johann Jäger Professur für Elektrische Energieversorgung

How to cite

APA:

Wolf, M., Prommetta, J., & Jäger, J. (2020). Application of one- And two-ended impedance based fault location algorithms for distance protection. In PESS 2020 - IEEE Power and Energy Student Summit, Conference Proceedings (pp. 94-99). Darmstadt, DE: VDE Verlag GmbH.

MLA:

Wolf, Michael, Jonas Prommetta, and Johann Jäger. "Application of one- And two-ended impedance based fault location algorithms for distance protection." Proceedings of the 2020 IEEE Power and Energy Student Summit, PESS 2020, Darmstadt VDE Verlag GmbH, 2020. 94-99.

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