• DocumentCode
    647974
  • Title

    Maximizing delivery capability of unbalanced distribution networks for high penetration of distributed generation

  • Author

    Liu Jian ; Hsiao-Dong Chiang

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Reconfiguration technique has been used to reduce networks losses, balance user loads and restore power supply after a power outage in a distribution system. With a large amount of uncontrollable distributed generation (DG) added into the distribution system, reconfiguration technique is also applied to deal with the interconnection capability of DG in a network. This paper aims to obtain the maximum DG power injection into the system, while satisfying current, voltage constraints and large enough load margin. A method based on reconfiguration technique to solve the issue aforementioned is presented. The Binary Particle Swarm Optimization (BPSO) is employed to solve the discrete nonlinear optimization problem. IEEE123 case, an unbalance three-phase distribution system, is used to verify the availability of the proposed methodology and the results from the simulation demonstrate the method proposed efficiency.
  • Keywords
    distributed power generation; particle swarm optimisation; power distribution reliability; power generation reliability; BPSO; IEEE123; binary particle swarm optimization; delivery capability maximization; discrete nonlinear optimization problem; high distributed generation penetration; interconnection capability; load margin; maximum DG power injection; networks losses reduction; power outage; power supply restoration; reconfiguration technique; unbalance three-phase distribution system; unbalanced distribution networks; voltage constraints; Distributed power generation; Educational institutions; Load flow analysis; Loading; Network topology; Particle swarm optimization; BPSO; delivery capability; distributed generation; reconfiguration; scenario; time varying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672527
  • Filename
    6672527