• DocumentCode
    3529713
  • Title

    Optimal branch exchange for feeder reconfiguration in distribution networks

  • Author

    Qiuyu Peng ; Low, S.H.

  • Author_Institution
    Electr. Eng. Dept., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    2960
  • Lastpage
    2965
  • Abstract
    The feeder reconfiguration problem chooses the on/off status of the switches in a distribution network in order to minimize a certain cost such as power loss. It is a mixed integer nonlinear program and hence hard to solve. A popular heuristic search consists of repeated application of branch exchange, where some loads are transferred from one feeder to another feeder while maintaining the radial structure of the network, until no load transfer can further reduce the cost. Optimizing each branch exchange step is itself a mixed integer nonlinear program. In this paper we propose an efficient algorithm for optimizing a branch exchange step. It uses an AC power flow model and is based on the recently developed convex relaxation of optimal power flow. We provide a bound on the gap between the optimal cost and that of our solution. We prove that our algorithm is optimal when the voltage magnitudes are the same at all buses. We illustrate the effectiveness of our algorithm through the simulation of real-world distribution feeders.
  • Keywords
    convex programming; cost reduction; distribution networks; integer programming; power system management; AC power flow model; convex relaxation; cost minimization; cost reduction; distribution networks; feeder reconfiguration; heuristic search; mixed integer nonlinear program; network radial structure; optimal branch exchange problem; optimal power flow; power loss; real-world distribution feeders; voltage magnitudes; Integrated circuit modeling; Load modeling; Mathematical model; Network topology; Optimization; Substations; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760333
  • Filename
    6760333