• DocumentCode
    617180
  • Title

    A smart grid voltage sag detector using an EEMD-based approach

  • Author

    Amirat, Yacine ; Benbouzid, Mohamed

  • Author_Institution
    LBMS, ISEN, Brest, France
  • fYear
    2013
  • fDate
    12-15 May 2013
  • Firstpage
    1300
  • Lastpage
    1304
  • Abstract
    Smart grids have become a focal point in renewable energy source researches. Sustainability and viability of distributed grids are highly dependent on the reduction of the operational and maintenance costs. The most efficient way of reducing these costs would be to continuously monitor the condition of these systems. This allows for early detection of the power quality degeneration, and facilitating a proactive response, prevent a fault ride-through the renewable energy conversion system, minimizing downtime, and maximizing productivity. This paper provides then the assessment of an advanced signal processing technique (demodulation tool) using the instantaneous power for voltage detection in smart grids.
  • Keywords
    demodulation; power supply quality; power system measurement; renewable energy sources; signal detection; smart power grids; EEMD-based approach; advanced signal processing technique; demodulation tool; distributed grids; ensemble empirical mode decomposition; fault ride-through; maintenance cost; operational cost; power quality degeneration; renewable energy sources; smart grid voltage sag detector; Monitoring; Power generation; Power quality; Signal processing; Smart grids; Voltage fluctuations; Smart grid; ensemble empirical mode decomposition (EEMD); power quality (PQ); voltage sag detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4673-4975-8
  • Electronic_ISBN
    978-1-4673-4973-4
  • Type

    conf

  • DOI
    10.1109/IEMDC.2013.6556318
  • Filename
    6556318