• DocumentCode
    1676098
  • Title

    A Multilevel Approach for the Optimal Control of Energy Systems Distributed over the Territory

  • Author

    Minciardi, R. ; Robba, M. ; Delfino, F. ; Pampararo, F.

  • Author_Institution
    Dept. of Inf., Bioeng., Robot., & Syst. Eng., Univ. of Genova, Genoa, Italy
  • fYear
    2013
  • Firstpage
    414
  • Lastpage
    419
  • Abstract
    An approach to deal with distributed power flows and micro grids with renewable and storage is here proposed. Specifically, a multilevel architecture is defined for different main purposes: to reduce the computational complexity at a centralized approach, to deal with different micro grids, different decision makers and multiple objectives. The micro grids decision problem is LQ (or LQ tracking) and its solution can be directly inserted as a constraint in the decision problem of an upper level. In this work, two decision levels are described as well as the possible extension to case studies with several decision levels. Moreover, a solution approach based on Model Predictive Control is defined and applied. The architecture is applied to a specific case study (Savona, Italy).
  • Keywords
    computational complexity; decision making; distributed power generation; optimal control; power generation control; predictive control; Italy; LQ tracking; Savona; centralized approach; computational complexity reduction; decision makers; distributed power flows; energy system distribution; microgrid decision problem; model predictive control; multilevel approach; multilevel architecture; optimal control; upper level decision problem; Buildings; Load flow; Microgrids; Optimal control; Optimization; Production; Smart grids; distributed generation; hierarchical systems; multilevel systems; optimal control; smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (EMS), 2013 European
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4799-2577-3
  • Type

    conf

  • DOI
    10.1109/EMS.2013.70
  • Filename
    6779881