• DocumentCode
    45776
  • Title

    Conic AC transmission system planning

  • Author

    Taylor, Joshua A. ; Hover, Franz S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    952
  • Lastpage
    959
  • Abstract
    We formulate mixed-integer conic approximations to AC transmission system planning. The first applies lift-and-project relaxations to a nonconvex model built around a semidefinite power flow relaxation. We then employ a quadratically constrained approximation to the DistFlow equations in constructing a second-order cone model that is convex without relaxation. We solve mixed integer linear and second-order cone programs using commercial software and assess their performance on two benchmark problems. As with DC power flow models and linear AC relaxations, the new models usually produce solutions which are infeasible under the original constraints. However, they are nearer to feasibility, and therefore represent stronger alternatives.
  • Keywords
    integer programming; linear programming; load flow; power transmission planning; DC power flow model; DistFlow equations; benchmark problem; commercial software; conic AC transmission system planning; lift-and-project relaxations; linear AC relaxation; mixed integer linear-second-order cone programs; nonconvex model; quadratically-constrained approximation; second-order cone model; semidefinite power flow relaxation; Approximation methods; Computational modeling; Convex functions; Planning; Programming; AC transmission system planning; DistFlow equations; lift-and-project; mixed-integer second-order cone programming; semidefinite programming;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2214490
  • Filename
    6308747