• DocumentCode
    3301010
  • Title

    A control strategy for optimizing the power flows supplied by two different storage units

  • Author

    Grillo, Samuele ; Musolino, V. ; Piegari, L. ; Tironi, E.

  • Author_Institution
    Dept. of Electr. Eng., Politec. di Milano, Milan, Italy
  • fYear
    2011
  • fDate
    19-23 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The DC distribution networks can easily benefit from integration of electrical storage systems, such as batteries and supercapacitors, to manage the network operations. A proper combination of these two storage units can lead to a storage system able to satisfy power requests lasting from seconds to hours. However, the use of more than one storage unit gives rise to the problem of deciding how to split the power between the two technologies. In the paper, authors propose a control strategy to divide the power demand between the two storage units ensuring, at the same time: i) a peak shaving action for the interface converter opportunely slowed; ii) the lifetime increase of storage units by means of a proper control adapted to the dynamic performances of each storage device; iii) the keeping of the state of charge of each unit around a desired value. In the paper, the effectiveness of the proposed strategy is shown by means of numerical simulations. In particular, very good results are obtained also when the power demand is completely random.
  • Keywords
    cells (electric); load flow control; numerical analysis; power control; power distribution control; power system management; supercapacitors; DC distribution networks; batteries; control strategy; electrical storage systems; interface converter; numerical simulations; peak shaving action; power demand; power flow optimization; storage units; supercapacitors; Bandwidth; Batteries; Load modeling; Oscillators; Power quality; Supercapacitors; Voltage control; AC-DC power conversion; DC power systems; electrical storage systems; peak shaving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2011 IEEE Trondheim
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-8419-5
  • Electronic_ISBN
    978-1-4244-8417-1
  • Type

    conf

  • DOI
    10.1109/PTC.2011.6019341
  • Filename
    6019341