• DocumentCode
    2122767
  • Title

    An optimization model for the management of energy supply and demand in smart grids

  • Author

    Silvente, Javier ; Graells, Moisès ; Espuña, Antonio ; Salas, Pep

  • Author_Institution
    Chem. Eng. Dept., Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    368
  • Lastpage
    373
  • Abstract
    A fully-monitored smart grid prototype by Wattpic Energia Intel·ligent S.L. in Llagostera (Girona, Spain) is addressed as a case study for developing tools for modelling and optimizing the management of energy supply and demand. A preliminary project phase seeks to develop short term scheduling of energy production tasks including the integrated timing of energy loads. Thus, the demand profile is flexible and can be managed, but the economic objective function penalizes the loads that are not meet at due time. The Mixed-Integer Linear Programming model for the optimization of detailed 24-hour deterministic scenarios is presented. The promising results produced encourage further research regarding the development of decision-making tools for the enhanced design and operation of micro-grids.
  • Keywords
    decision making; distributed power generation; integer programming; linear programming; power generation scheduling; smart power grids; supply and demand; decision-making tools; economic objective function; energy loads; energy production task scheduling; energy supply and demand; energy supply management; fully-monitored smart grid prototype; microgrids; mixed-integer linear programming model; optimization modelling; time 24 hour; Electricity; Energy storage; Job shop scheduling; Mathematical model; Optimization; Supply and demand; Control; Distributed generation and active demand; Energy storage; Smart cities and smart buildings; management and optimization;
  • 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.2012.6347785
  • Filename
    6347785