• DocumentCode
    3068336
  • Title

    Hierarchical control with virtual resistance optimization for efficiency enhancement and State-of-Charge balancing in DC microgrids

  • Author

    Lexuan Meng ; Dragicevic, Tomislav ; Vasquez, Juan ; Guerrero, Josep ; Sanseverino, Eleonora Riva

  • Author_Institution
    Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2015
  • fDate
    7-10 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a hierarchical control scheme which applies optimization method into DC microgrids in order to improve the system overall efficiency while considering the State-of-Charge (SoC) balancing at the same time. Primary droop controller, secondary voltage restoration controller and tertiary optimization tool formulate the complete hierarchical control system. Virtual resistances are taken as the decision variables for achieving the objective. Simulation results are presented to verify the proposed approach.
  • Keywords
    distributed power generation; optimisation; voltage control; DC microgrids; hierarchical control; hierarchical control system; primary droop controller; secondary voltage restoration controller; state-of-charge balancing; tertiary optimization tool; virtual resistance optimization; Algorithm design and analysis; Genetic algorithms; Linear programming; Optimization; Sociology; System-on-chip; Voltage control; efficiency; genetic algorithm; hierarchical control; state-of-charge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    DC Microgrids (ICDCM), 2015 IEEE First International Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/ICDCM.2015.7152000
  • Filename
    7152000