• DocumentCode
    2250950
  • Title

    Modeling, EMTP simulation and analyse of the electrical equipment from renewable energy system

  • Author

    Daniel, Irimia ; Adrian, Baraboi ; Maricel, Adam ; Mihai, Andrusca

  • Author_Institution
    Faculty of Electrical Engineering ??Gheorghe Asachi?? Technical University of Iasi, Romania
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due the development of the renewable energy installations, the equipment for these systems has known substantial progress. Such equipment must meet a number of conditions both on power safety as well on the quality of energy supplied. As is recognized in literature, the power quality is given by frequency, voltage, harmonic pollution, sourceconsumer, interdependence, interdependence-source system (smart grid). Power converters DC/DC, DC/AC are the reference equipment in a renewable energy system and because of quickly evolution of the power electronic, allowing these to be increasingly complex. The paper present a monitoring/diagnosis system for an inverter, using an artificial neural network. The training data for artificial neural network are obtained through EMTP simulation of different cases of failure in switching system.
  • Keywords
    RNA; artifcial neural netwok; diagnosis; electromagnetic fields; inverter; monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4673-1173-1
  • Type

    conf

  • DOI
    10.1109/ICEPE.2012.6522597
  • Filename
    6522597