• DocumentCode
    3752029
  • Title

    A receding horizon approach for the power flow management with renewable energy and energ storage systems

  • Author

    Alessio Maffei;Seshadhri Srinivasan;Luigi Iannelli;Luigi Glielmo

  • Author_Institution
    Department of Engineering, University of Sannio, Benevento, Italy
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Optimal operation of energy grids integrated with renewable energy sources (RES) and energy storage systems (ESS) is challenging due to intermittencies in generation and dynamics of the storage. This investigation presents a multi-period alternate current optimal power flow (ACOPF) algorithm for reducing the grid operating cost. The proposed approach uses a receding horizon strategy that solves a non-linear optimization problem during each period by using forecasts and storage dynamics. As a result, the proposed algorithm can optimize the grid operations considering the intermittent renewable generation and storage dynamics. The multi-period ACOPF is illustrated on a Norwegian distribution network with 85 buses and our results illustrate the suitability of the multi-period approach to optimize the grid operations with RES and ESS.
  • Keywords
    "Decision support systems","Cost function"
  • Publisher
    ieee
  • Conference_Titel
    AEIT International Annual Conference (AEIT), 2015
  • Type

    conf

  • DOI
    10.1109/AEIT.2015.7415232
  • Filename
    7415232