Real Time Selective Detection of Experimentally Generated DC Series Arcs
Zhihao Liu (Student TU Delft)
A. Shekhar (TU Delft - DC systems, Energy conversion & Storage)
Laura Elizondo (TU Delft - DC systems, Energy conversion & Storage)
Pavol Bauer (TU Delft - DC systems, Energy conversion & Storage)
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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.