Arc fault detection & localization by electromagnetic-acoustic remote sensing

Electrical arc faults that occur in photovoltaic systems represent a danger due to their economic impact on production and distribution. In this paper we propose a complete system, with focus on the methodology, that enables the detection and localization of the arc fault, by the use of an electromagnetic-acoustic sensing system. By exploiting the multiple emissions of the arc fault, in conjunction with a real-time detection signal processing method, we ensure accurate detection and localization. In its final form, this present work will present in greater detail the complete system, the methods employed, results and performance, alongside further works that will be carried on.

[1]  Cornel Ioana,et al.  Advanced signal processing techniques for detection and localization of electrical arcs , 2014, 2014 10th International Conference on Communications (COMM).

[2]  Jay Johnson,et al.  Electrical simulations of series and parallel PV arc-faults , 2013, 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC).

[3]  J. Ghouili,et al.  Detection of Electrical Arc Faults in a Distribution Network , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[4]  Cornel Ioana,et al.  Electrical arc surveillance and localization system based on advanced signal processing techniques , 2014, 2014 IEEE International Energy Conference (ENERGYCON).

[5]  Jay Johnson,et al.  Photovoltaic DC Arc Fault Detector testing at Sandia National Laboratories , 2011, 2011 37th IEEE Photovoltaic Specialists Conference.

[6]  Cornel Ioana,et al.  Electric arc locator in photovoltaic power systems using advanced signal processing techniques , 2013, Proceedings ELMAR-2013.