• DocumentCode
    715092
  • Title

    Reliability analysis of distribution systems considering service restoration

  • Author

    Yin Xu ; Chen-Ching Liu ; Haixiang Gao

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distribution system restoration (DSR) is intended to restore service to interrupted customers by a sequence of switching operations. An effective DSR strategy reduces interruption duration and consequently enhances reliability of distribution systems. In this paper, a systematic method is proposed for reliability analysis of smart distribution systems with DSR technique and remote control capability. The spanning tree search algorithm is used to generate optimal DSR schemes that restore the maximal amount of load with a minimal number of switching operations. Switching sequence is decided by a set of rules. Breadth-first search technique is used to determine the restoration time for customers. A 4-feeder 1069-node unbalanced test system with microgrids, developed by Pacific Northwest National Laboratory (PNNL), is simulated to demonstrate the effectiveness of the proposed method.
  • Keywords
    distributed power generation; power distribution reliability; power system restoration; telecontrol; tree searching; 4-feeder 1069-node unbalanced test system; DSR; PNNL; Pacific Northwest National Laboratory; breadth-first search technique; distribution system restoration; interruption duration reduction; microgrid; remote control capability; service restoration; smart distribution system reliability analysis; spanning tree search algorithm; switching sequence; Interrupters; Microgrids; Power system reliability; Reliability; Switches; Topology; Distribution power system; distribution automation (DA); reliability analysis; remote-controlled switch; service restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131800
  • Filename
    7131800