• DocumentCode
    1788340
  • Title

    Optimal power flow based on glow worm-swarm optimization for three-phase islanded microgrids

  • Author

    Quang, Ninh Nguyen ; Sanseverino, Eleonora Riva ; Di Silvestre, Maria Luisa ; Madonia, Antonino ; Chendan Li ; Guerrero, Josep M.

  • Author_Institution
    DEIM, Univ. of Palermo, Palermo, Italy
  • fYear
    2014
  • fDate
    18-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an application of the Glowworm Swarm Optimization method (GSO) to solve the optimal power flow problem in three-phase islanded microgrids equipped with power electronics dc-ac inverter interfaced distributed generation units. In this system, the power injected by the distributed generation units and the droop control parameters are considered as variables to be adjusted by a superior level control. Two case studies with different optimized parameters have been carried out on a 6-bus test system. The obtained results showed the effectiveness of the proposed approach and overcomes the problem of OPF in islanded microgrids showing loads unbalance.
  • Keywords
    distributed power generation; invertors; load flow; optimisation; 6-bus test system; GSO; distributed generation units; droop control parameters; glow-worm swarm optimization; glowworm swarm optimization method; optimal power flow; optimal power flow problem; power electronics dc-ac inverter; three-phase islanded microgrids; Decision support systems; Indexes; Silicon; Smart grids; Sociology; Statistics; System-on-chip; Optimal power flow; glow-worm swarm optimization; islanded microgrid; three phase systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT), 2014
  • Conference_Location
    Trieste
  • Print_ISBN
    978-8-8872-3724-5
  • Type

    conf

  • DOI
    10.1109/AEIT.2014.7002028
  • Filename
    7002028