• DocumentCode
    722839
  • Title

    Smart meters and demand response: A double challenge

  • Author

    Di Leo, Giuseppe ; Liguori, Consolatina ; Paciello, Vincenzo ; Pietrosanto, Antonio ; Sommella, Paolo

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Salerno, Fisciano, Italy
  • fYear
    2015
  • fDate
    12-14 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The evolution of energy demand and production can be faced with a Grid that becomes Smart: a network that is capable of integrating heterogeneous players in both generation and demand, allowing each of them to access electricity market and being able to react in real-time and autonomously to changing conditions on the grid. Such paradigm may allow to provide advanced services (i.e. Demand Response) increasing network efficiency and reliability. Necessary requisite for the implementation of a Smart Grid is having a metering architecture that can provide timely and reliable information regarding the state of the grid. The paper addresses the topic of an Advaced Metering Infrastructure (AMI), focusing on the first block, the Smart Meter. A meter prototype for the electric energy measurement, based on ARM architecture, is presented; the technical solutions, both in hardware and software, are described in detail; finally the results of tests carried out for its metrological characterization are reported.
  • Keywords
    energy measurement; smart meters; smart power grids; AMI; ARM architecture; advaced metering infrastructure; demand response; electric energy measurement; electricity market; reliability; smart grid; smart meter; Current measurement; Frequency measurement; Power measurement; Reactive power; Smart meters; Software; Voltage measurement; Smart metering; demande response; power measurements; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CIVEMSA.2015.7158600
  • Filename
    7158600