Detection of high impedance faults in PV systems using mathematical morphology

Published: Jan 1, 2018
Abstract
Use of Mathematical Morphology (MM) based filters to detect faults in power systems have been discussed in recent literature. These studies have been predominantly focused on AC systems and associated arc faults. However, fault detection applications based on MM filtering in DC systems have not been adequately discussed. This paper presents how MM based filtering techniques and its composite operations could be used to successfully detect arc...
Paper Details
Title
Detection of high impedance faults in PV systems using mathematical morphology
Published Date
Jan 1, 2018
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.