• DocumentCode
    20521
  • Title

    Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence

  • Author

    Low, S.H.

  • Author_Institution
    Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    1
  • Issue
    1
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    15
  • Lastpage
    27
  • Abstract
    This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural properties rather than algorithms. Part I presents two power flow models, formulates OPF and their relaxations in each model, and proves equivalence relationships among them. Part II presents sufficient conditions under which the convex relaxations are exact.
  • Keywords
    convex programming; load flow; power system simulation; convex relaxation; optimal power flow; power flow model; structural properties; Biological system modeling; Control systems; Cost function; Equations; Generators; Mathematical model; Vectors; Convex relaxation; optimal power flow; power systems; quadratically constrained quadratic program (QCQP); second-order cone program (SOCP); semidefinite program (SDP); semidefinite relaxation;
  • fLanguage
    English
  • Journal_Title
    Control of Network Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2325-5870
  • Type

    jour

  • DOI
    10.1109/TCNS.2014.2309732
  • Filename
    6756976