• DocumentCode
    1451049
  • Title

    Convex Models of Distribution System Reconfiguration

  • Author

    Taylor, Joshua A. ; Hover, Franz S.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • Firstpage
    1407
  • Lastpage
    1413
  • Abstract
    We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, continuous relaxations. Each model can be reliably and efficiently solved to optimality using standard commercial software. In the course of deriving each model, we obtain original quadratically constrained and second-order cone approximations to power flow in radial networks.
  • Keywords
    convex programming; integer programming; load flow; power distribution; quadratic programming; ac problem; convex models; distribution system reconfiguration; mixed-integer quadratic programming; power flow; radial networks; second-order cone approximations; second-order cone programming; standard commercial software; Computational modeling; Equations; Load modeling; Mathematical model; Minimization; Programming; Substations; Distribution system reconfiguration; load balancing; mixed-integer quadratic programming; second-order cone programming;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2184307
  • Filename
    6153415