• DocumentCode
    2152495
  • Title

    Electric arc locator in photovoltaic power systems using advanced signal processing techniques

  • Author

    Digulescu, Angela ; Candel, Ion ; Dahmani, J. ; Deacu, Daniela ; Ioana, Cornel ; Gabriel, Vasile

  • Author_Institution
    Mil. Tech. Acad., Bucharest, Romania
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    In this paper, we present two techniques for the localization of electric arcs produced in photovoltaic power systems. High order statistic analysis (HOSA) and recurrence plot analysis (RPA) have already proven successful in detecting the partial discharges associated with the production of an electric arc in a high voltage power system. However, this solves only the first half of the problem, since a localization of the arc also needed. Using a four sensors array detector along with a combination of HOSA and RPA techniques, we estimate the direction of arrival (DOA) of the electric arc, as well as the distance to the detector. An experiment was put in place in order to validate the results.
  • Keywords
    arcs (electric); partial discharges; photovoltaic power systems; sensor arrays; signal processing; statistical analysis; HOSA techniques; RPA techniques; advanced signal processing techniques; electric arc locator; electric arcs localization; high order statistic analysis; high voltage power system; partial discharges; photovoltaic power systems; recurrence plot analysis; sensors array detector; Detectors; Direction-of-arrival estimation; Estimation; Photovoltaic systems; Vectors; High Order Statistics; Recurrence Plot Analysis; bispectrum; direction of arrival; distance matrix; phase space; recurrence matrix; third order cumulant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2013 55th International Symposium
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-953-7044-14-5
  • Type

    conf

  • Filename
    6658334