Real Time Selective Detection of Experimentally Generated DC Series Arcs

Conference paper (2017)

Authors

Zhihao Liu Student
A. Shekhar DC systems, Energy conversion & Storage - EEMCS
L.M. Ramirez Elizondo DC systems, Energy conversion & Storage - EEMCS
P. Bauer DC systems, Energy conversion & Storage - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
Copyright: © 2017 Zhihao Liu, A. Shekhar, L.M. Ramirez Elizondo, P. Bauer
DOI: https://doi.org/10.23919/EPE17ECCEEurope.2017.8099066
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Published Date

2017

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

Localization of series arc faults in dc microgrids is an important requirement to guarantee operational safety and uninterrupted power to end users. In the previous EPE-ECCE proceeding, a theoretical proof was provided for the selective series arc detection using a novel algorithm. In the current paper, the concept is validated by showcasing real time localized detection when series arc is initiated between point of common coupling and one of the parallel loads. Experiments are repeated several times to gain statistical significance to account for the stochastic nature of the arcing phenomenon.