• DocumentCode
    647979
  • Title

    A novel method for distribution system feeder reconfiguration using black-box optimization

  • Author

    Lei Tang ; Fang Yang ; Xianyong Feng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel method for distribution system feeder reconfiguration. The problem is formulated as a black-box optimization problem such that it can be solved by Mesh Adaptive Direct Search (MADS) algorithm. Given feeder reconfiguration candidates, a distribution system software simulator- OpenDSS is used to calculate detailed power flow solutions to provide various operating outputs such as system losses, line currents, and bus voltages. The radial topology constraints are maintained based on graph theory analysis, and two versions of constraints are formulated for binary programming and integer programming. The proposed method is a general framework, which is not restricted by the type of objectives, and OpenDSS enables detailed modeling of any distribution system. Test of the method on the IEEE 123 node feeder with distributed generators shows promising results, and the two versions of radial topology constraints are compared.
  • Keywords
    distributed power generation; network topology; power convertors; IEEE 123 node feeder; black-box optimization problem; distributed generators; distribution system feeder reconfiguration; given feeder reconfiguration candidates; mesh adaptive direct search algorithm; power flow solutions; radial topology; Linear programming; Load flow analysis; Network topology; Optimization; Switches; Topology; Black-box optimization; MADS; OpenDSS; distribution system; feeder reconfiguration; radial topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672532
  • Filename
    6672532