• DocumentCode
    267588
  • Title

    Convex relaxations and linear approximation for optimal power flow in multiphase radial networks

  • Author

    Lingwen Gan ; Low, Steven H.

  • Author_Institution
    Eng. & Appl. Sci. Div., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Distribution networks are usually multiphase and radial. To facilitate power flow computation and optimization, two semidefinite programming (SDP) relaxations of the optimal power flow problem and a linear approximation of the power flow are proposed. We prove that the first SDP relaxation is exact if and only if the second one is exact. Case studies show that the second SDP relaxation is numerically exact and that the linear approximation obtains voltages within 0.0016 per unit of their true values for the IEEE 13, 34, 37, 123-bus networks and a real-world 2065-bus network.
  • Keywords
    approximation theory; convex programming; distribution networks; load flow; IEEE 123-bus networks; IEEE 13-bus networks; IEEE 34-bus networks; IEEE 37-bus networks; convex relaxations; distribution networks; linear approximation; multiphase radial networks; optimal power flow problem; power flow computation; power flow optimization; real-world 2065-bus network; semidefinite programming relaxations; Computational modeling; Linear approximation; Load flow; Numerical stability; Programming; Silicon; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038399
  • Filename
    7038399