Arc Fault and Flash Detection in DC Photovoltaic Arrays Using Wavelets Conference Paper

abstract

• Arc faults have always been a concern for PV systems. Emerging safety standards will soon require PV system to include arc fault detection equipment. Arc faults can cause fires, shock hazard, and system failure. Existing techniques that rely on pattern recognition in the time domain, or amplitude detection in the frequency domain by using a Fourier Transform, don't work well for arcs because the signal to noise ratio is low and the arc signal is not periodic. Instead, wavelet transform analysis provides a time and frequency approach to analyze target signals with multiple resolutions. In this paper, a new approach using wavelet transform for arc fault detection in DC systems is proposed. Simulation models are established to study the theoretical results of the proposed methodology and traditional FFT analysis of arcing faults. Experimental data from an arcing AC system shows the efficacy is not limited to only dc power systems. 2013 IEEE.

name of conference

• 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC)

authors

• Balog, Robert

published proceedings

• 2013 IEEE 39TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC)

author list (cited authors)

• Wang, Z., & Balog, R. S.

citation count

• 20

complete list of authors

• Wang, Zhan||Balog, Robert S

publication date

• June 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference Record IEEE Photovoltaic Specialists Conference  Journal

keywords

• Arc Faults Detection
• Arc Flash
• Pv Safety
• Signal Processing
• Wavelet Transform

Digital Object Identifier (DOI)

• 10.1109/pvsc.2013.6744455

International Standard Book Number (ISBN) 13

• 9781479932993

start page

• 1619

end page

• 1624

URL

• http://dx.doi.org/10.1109/pvsc.2013.6744455