• DocumentCode
    938910
  • Title

    Reliability evaluation of complex radial distribution systems considering restoration sequence and network constraints

  • Author

    Li, Weixing ; Wang, Peng ; Li, Zhimin ; Liu, Yingchun

  • Author_Institution
    Harbin Inst. of Technol., China
  • Volume
    19
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    753
  • Lastpage
    758
  • Abstract
    This paper presents a technique for the reliability assessment of complex radial distribution systems considering restoration sequence and network constraints (NCs). In this technique, a distribution network is represented using a tree data structure to dynamically respond to the change of network topology induced by system reconfiguration. A parent-visit technique is proposed to determine the affected area after a failure occurs. A breadth-first-search approach is used to divide the affected load points into six classes based on restoration times. An improved branch-oriented load flow method is embedded in the reliability evaluation technique to examine NCs after network reconfiguration. An approach to control the accuracy and the computing time of simulation is also presented. A test distribution system is used to illustrate the technique.
  • Keywords
    data structures; load flow control; power distribution reliability; power system restoration; trees (mathematics); breadth-first-search approach; complex radial distribution systems; load flow analysis; network constraints; network topology; parent-visit technique; power system reconfiguration; power system restoration; reliability evaluation; restoration sequence; system reconfiguration; tree data structure; Load flow; Load flow analysis; Power system analysis computing; Power system planning; Power system reliability; Power system restoration; Power system simulation; Switches; System testing; Tree data structures;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2003.822960
  • Filename
    1278436