Abstract
Electrical arc faults represent a danger for today's power generation systems, and their detection can have a serious positive economic impact. In this paper we present a system for the detection and localization of DC electrical arc faults (typical for a photovoltaic power generation system). Our approach is based on the multidimensionality of the arc fault emissions, therefore we use a dual sensing system, composed by electromagnetic & acoustic sensors. Also, we present a comparison between two possible signal processing methods in order to recover the TOA (“time of arrival”), which then enables us to precisely localize the source of the arc fault.
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