• DocumentCode
    105740
  • Title

    Sparsity-Leveraging Reconfiguration of Smart Distribution Systems

  • Author

    Dall´Anese, Emiliano ; Giannakis, Georgios

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    29
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    1417
  • Lastpage
    1426
  • Abstract
    A system reconfiguration problem is considered for three-phase power distribution networks featuring distributed generation. In lieu of binary line selection variables, the notion of group sparsity is advocated to re-formulate the nonconvex distribution system reconfiguration (DSR) problem into a convex one. It is shown that the line selection task boils down to a shrinkage and thresholding operation on the line currents. Further, numerical tests illustrate the ability of the proposed scheme to identify meshed, weakly meshed, or even radial configurations by adjusting a sparsity-tuning parameter in the DSR cost. Constraints on the voltages are investigated and incorporated in the novel DSR problem to facilitate voltage regulation.
  • Keywords
    concave programming; convex programming; distributed power generation; shrinkage; voltage control; binary line selection variable; convex programming; distributed generation; group sparsity; line currents; nonconvex DSR problem; nonconvex distribution system reconfiguration; numerical tests; radial configurations; shrinkage operation; smart distribution system; sparsity leveraging reconfiguration; sparsity tuning parameter adjustment; three phase power distribution network; thresholding operation; voltage regulation; Approximation methods; Indexes; Load modeling; Network topology; Symmetric matrices; Topology; Vectors; Convex programming; distribution networks; sparsity; system reconfiguration;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2014.2302912
  • Filename
    6742636