Evaluation method for arc fault detection algorithms

Stephen McConnell, Zhan Wang, Robert Balog, Jay Johnson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Many methods have been proposed to detect arc faults within photovoltaic systems. However, because of the dearth of data surrounding arcs that actually occur in commercial or residential PV systems, a sound method is necessary to systematically check for the effectiveness of algorithms claiming the ability to detect PV arc faults. This method should include data representing actual background PV system noise and seek to quantify the limits of the detection capability for the algorithms of interest.

Original languageEnglish
Title of host publication2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3201-3206
Number of pages6
ISBN (Electronic)9781479943982
DOIs
Publication statusPublished - 15 Oct 2014
Externally publishedYes
Event40th IEEE Photovoltaic Specialist Conference, PVSC 2014 - Denver
Duration: 8 Jun 201413 Jun 2014

Other

Other40th IEEE Photovoltaic Specialist Conference, PVSC 2014
CityDenver
Period8/6/1413/6/14

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Keywords

  • arc discharges
  • detection algorithms
  • photovoltaic systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

McConnell, S., Wang, Z., Balog, R., & Johnson, J. (2014). Evaluation method for arc fault detection algorithms. In 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014 (pp. 3201-3206). [6925616] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2014.6925616