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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/icps51...
Conference object . 2021 . Peer-reviewed
License: IEEE Copyright
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Fault Analysis based on time-domain Symmetrical Components

Authors: Rodriguez C. Julio; Gustavo Ramos; David Celeita;

Fault Analysis based on time-domain Symmetrical Components

Abstract

Symmetrical components theory, presented by Fortescue in 1918, and its analysis of the time domain presented by Lyon in 1954, have been widely used for fault analysis and power system protection algorithms. In recent times, applications in time domain have been deeply studied given their potential for getting a quicker failure detection, there are two main techniques which apply signal processing methods in the time domain: Travel-wave and incremental quantities. The theoretical background of symmetrical components to fault analysis is well recognized. Currently, the fault protection algorithms using symmetrical components are based on frequency domain. This paper presents a theoretical analysis of the use of symmetrical components in time domain, particularly in asymmetrical faults. A Signal processing algorithm to obtain the instantaneous symmetrical quantities from phases quantities are presented. A study case is simulated to validate the time domain technique and fault analysis permits show the potential of the results to develop protection algorithms.

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    4
    popularity
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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average