• DocumentCode
    182674
  • Title

    Energy and network models for the intelligent control of distributed systems

  • Author

    Cipriani, G. ; Di Dio, V. ; Ferraris, L. ; La Cascia, D. ; Miceli, Rosario ; Poskovic, E. ; Sauba, Ganesh

  • Author_Institution
    Dept. of Energy, Univ. of Palermo, Palermo, Italy
  • fYear
    2014
  • fDate
    21-24 Sept. 2014
  • Firstpage
    1306
  • Lastpage
    1311
  • Abstract
    This paper presents detailed energy and network models for the intelligent control of a distributed system which also comprises power generation from renewables. The two models provide interactive energy monitoring, intelligent control and power demand balancing at home, block and neighbor level. Particularly, it is here described how the energy model works and also details of how it has been validated are here given. Moreover, it is shown how the energy model simulation results are transferred to the network simulation software SynerGEE, set up by GL Noble Denton Industrial Services Ltd (UK), in order to fully perform network simulations.
  • Keywords
    intelligent control; power distribution control; power engineering computing; power system measurement; GL Noble Denton Industrial Services Ltd; SynerGEE; distributed systems; energy model simulation; intelligent control; interactive energy monitoring; network simulation software; power demand balancing; Buildings; Data models; Electricity; Home appliances; Power electronics; Smart grids; Software; energy distribution systems; energy models; network models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
  • Conference_Location
    Antalya
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2014.6980693
  • Filename
    6980693