• DocumentCode
    173694
  • Title

    A rolling horizon rescheduling strategy for flexible energy in a microgrid

  • Author

    Marietta, Martin P. ; Graells, Moises ; Guerrero, Josep M.

  • Author_Institution
    Chem. Eng. Dept., Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    1297
  • Lastpage
    1303
  • Abstract
    In this work an Energy Management System (EMS) prototype for an isolated renewable-based microgrid is presented. The proposed management model not only considers the management of energy sources (generation) but also includes the possibility of flexible timing of energy consumptions (demand management) by modelling controllable and uncontrollable loads. The EMS consists of two stages: first a deterministic management model is formulated and subsequently is integrated into a rolling horizon control strategy, in which the actions on microgrid devices respond to an optimization criterion related to the estimation of the future system behaviour that is continually predicted by updatable forecasts in order to reduce uncertainty in both, production capacity and energy demand. Finally, this contribution presents and discusses a case study where the results of the operation with and without optimal demand management for the same group of loads are evaluated.
  • Keywords
    distributed power generation; energy consumption; optimisation; power generation control; power generation scheduling; demand management; energy consumption; energy management system; flexible energy; isolated renewable-based microgrid; optimization criterion; rolling horizon control strategy; rolling horizon rescheduling strategy; Load modeling; Microgrids; Optimization; Power supplies; Predictive models; Renewable energy sources; Energy management system; demand management; rolling horizon control strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference (ENERGYCON), 2014 IEEE International
  • Conference_Location
    Cavtat
  • Type

    conf

  • DOI
    10.1109/ENERGYCON.2014.6850590
  • Filename
    6850590