• DocumentCode
    2133385
  • Title

    The use of real-time instruments for smart power systems

  • Author

    Landi, C. ; Prete, G. Del ; Gallo, D. ; Luiso, M.

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Seconda Univ. di Napoli, Aversa, Italy
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    884
  • Lastpage
    889
  • Abstract
    In this paper, an architecture of a low-cost ARM-based Smart Metering network is presented. The system is designed to be suitable for Smart Grids applications aimed to a more efficient energy use according to the article 13 of Directive 2006/32/EC. The network is composed by several slave smart meters that continuously monitor loads and energy generator to make available in real-time information such as power and energy consumption/generation and several power quality parameters to a specific master device called data aggregator. This device integrating the information coming from slave smart meters and information regarding co-generator status, the forecast renewable source availability and, through a web service access, current energy prices, can take decisions to apply suitable management strategies aimed at reducing costs.
  • Keywords
    Web services; computerised instrumentation; microcontrollers; power engineering computing; power meters; power system measurement; pricing; smart power grids; Directive 2006/32/EC article 13; Web service access; cogenerator; data aggregator; energy consumption; energy generator; energy prices; low-cost ARM-based smart metering network; master device; power quality parameters; real-time instruments; renewable source availability forecasting; slave smart meters; smart grids; smart power systems; Electricity; Energy consumption; Microcontrollers; Monitoring; Protocols; Smart grids; Web servers; CAN Protocol; Power Meter; Smart Grid; Smart Metering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-1453-4
  • Type

    conf

  • DOI
    10.1109/EnergyCon.2012.6348276
  • Filename
    6348276