• DocumentCode
    2718263
  • Title

    An energy management approach for smart-grids using intelligent storage systems

  • Author

    Klaimi, Joelle ; Merghem-Boulahia, Leila ; Rahim-Amoud, Rana ; Jrad, Akil

  • Author_Institution
    Centre AZM, Lebanese Univ., Tripoli, Lebanon
  • fYear
    2015
  • fDate
    April 29 2015-May 1 2015
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    The growing necessity of renewable energy use and the need to reduce toxic gas emissions have led to the evolution of the traditional electric power grid toward smart-grid. Information and Communication Technologies (ICTs) are key enablers for the smart-grid, they permit interactions among the computational and the physical elements of the smart-grid. ICTs provide energy management algorithms and allow renewable energy integration and energy price minimization. Given the importance of renewable energy, we propose in this article a novel agent-based energy management algorithm for smart-grids. We believe that the use of storage systems reduces the access to the grid and the consumers´ bills. Simulation results show that our proposal minimizes the energy cost and reduces conventional energy utilization.
  • Keywords
    air pollution control; cost reduction; energy management systems; energy storage; minimisation; renewable energy sources; smart power grids; ICT; agent-based energy management algorithm; conventional energy utilization reduction; energy price minimization; information and communication technology; intelligent storage system; renewable energy; smart grid; toxic gas emission reduction; Artificial intelligence; Batteries; Minimization; Production; Renewable energy sources; Smart grids; Energy management; Multi-agent systems; Renewable resources; Smart-Grids; Storage systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information and Communication Technology and its Applications (DICTAP), 2015 Fifth International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4799-4130-8
  • Type

    conf

  • DOI
    10.1109/DICTAP.2015.7113165
  • Filename
    7113165