Print Email Facebook Twitter Real Time Selective Detection of Experimentally Generated DC Series Arcs Title Real Time Selective Detection of Experimentally Generated DC Series Arcs Author Liu, Zhihao (Student TU Delft) Shekhar, A. (TU Delft DC systems, Energy conversion & Storage) Ramirez Elizondo, L.M. (TU Delft DC systems, Energy conversion & Storage) Bauer, P. (TU Delft DC systems, Energy conversion & Storage) Date 2017 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. Subject ResistanceVoltage measurementInductanceReal-time systemsThreshold voltageCapacitanceEurope To reference this document use: http://resolver.tudelft.nl/uuid:720f2c1d-8556-4182-b679-7e00fe30e68a DOI https://doi.org/10.23919/EPE17ECCEEurope.2017.8099066 Publisher IEEE, Piscataway, NJ ISBN 978-90-75815-27-6 Source 2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe, 2017-January Event EPE '17 ECCE Europe, 2017-09-11 → 2017-09-14, Warsaw, Poland Part of collection Institutional Repository Document type conference paper Rights © 2017 Zhihao Liu, A. Shekhar, L.M. Ramirez Elizondo, P. Bauer Files PDF 6._EPE_Selectivity_Experiments.pdf 784.85 KB Close viewer /islandora/object/uuid:720f2c1d-8556-4182-b679-7e00fe30e68a/datastream/OBJ/view