An Under Voltage Load Shedding Scheme Based on a Short Term Voltage Instability Detection Method

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Abstract

Faster detection of faults, can lead to better and more efficient control of power system against cascading failures triggered by the faults. This article presents a novel detection algorithm using statistical methods for the detection of events that lead to FIDVR. Furthermore we show that the algorithm is computationally efficient and quick enough to provide the control inputs to an UVLS scheme using in-feed PMU data. Thus, it is ensured that the minimal level of load to be shed is determined on-the-fly as the event develops.
Original languageEnglish
Title of host publicationIET Conference Publications
PublisherIEEE
Number of pages6
EditionCP759
ISBN (Print)9781785617911, 9781839531330
DOIs
Publication statusPublished - 2019
Event11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion - Dubrovnik, Croatia
Duration: 12 Nov 201815 Nov 2018
http://medpower2018.com/

Publication series

NameIET Conference Publications
NumberCP759
Volume2018

Conference

Conference11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion
Abbreviated titleMEDPOWER 2018
Country/TerritoryCroatia
CityDubrovnik
Period12/11/1815/11/18
Internet address

Bibliographical note

"Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public."

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