• DocumentCode
    613380
  • Title

    The GREAT project: Integer linear programming-based day-ahead optimal scheduling of a DC microgrid

  • Author

    Carpinelli, G. ; Bracale, A. ; Caramia, P.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Naples Federico II, Naples, Italy
  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    573
  • Lastpage
    578
  • Abstract
    Microgrids 1 are electrical subsystems which include small generation units, storage devices and loads, which can operate either in grid connected or islanding mode. This paper deals with a DC microgrid that will be realized in an Italian industrial facility of GETRA Group. In particular, in this paper an optimization model is formulated to solve the problem of the day-ahead optimal scheduling of the microgrid. The model aims to optimize storage devices and controllable loads operation minimizing the daily costs of imported energy from AC grid and satisfying operational constraints such as production process constraints. The optimization problem is formulated using the Integer Linear Programming (ILP) theory. Case studies are also investigated in order to show the feasibility and the effectiveness of the proposed approach.
  • Keywords
    distributed power generation; linear programming; optimisation; power generation scheduling; power grids; AC grid; DC microgrid; GETRA group; GREAT project; ILP theory; Italian industrial facility; day-ahead optimal scheduling; electrical subsystems; grid connected mode; integer linear programming; islanding mode; optimization; production process constraints; small generation units; storage devices; storage loads; Energy storage; Integer linear programming; Load modeling; Microgrids; Optimal scheduling; Vectors; Distribution Systems; Microgrid; Optimal scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2013 12th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-3060-2
  • Type

    conf

  • DOI
    10.1109/EEEIC.2013.6549581
  • Filename
    6549581