• DocumentCode
    656819
  • Title

    Convexification of optimal power flow problem by means of phase shifters

  • Author

    Sojoudi, Samira ; Lavaei, Javad

  • Author_Institution
    Dept. of Comput. & Math. Sci., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2013
  • fDate
    21-24 Oct. 2013
  • Firstpage
    756
  • Lastpage
    761
  • Abstract
    This paper is concerned with the convexification of the optimal power flow (OPF) problem. We have previously shown that this highly nonconvex problem can be solved efficiently via a convex relaxation after two approximations: (i) adding a sufficient number of virtual phase shifters to the network topology, and (ii) relaxing the power balance equations to inequality constraints. The objective of the present paper is to first provide a better understanding of the implications of Approximation (i) and then remove Approximation (ii). To this end, we investigate the effect of virtual phase shifters on the feasible set of OPF by thoroughly examining a cyclic system. We then show that OPF can be convexified under only Approximation (i), provided some mild assumptions are satisfied. Although this paper mainly focuses on OPF, the results developed here can be applied to several OPF-based emerging optimization problems for future electrical grids.
  • Keywords
    convex programming; load flow; mesh generation; OPF based emerging optimization problems; convex relaxation; convexification; cyclic system; inequality constraints; network topology; optimal power flow problem; power balance equations; virtual phase shifters; Approximation methods; Equations; Optimized production technology; Phase shifters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2013.6688050
  • Filename
    6688050