• DocumentCode
    1971912
  • Title

    A self-healing reconfiguration technique for smart distribution networks with DGs

  • Author

    Li, Dapeng ; Wang, Shouxiang ; Zhan, Jie ; Zhao, Yishu

  • Author_Institution
    Key Lab. of Power Syst. Simulation & Control of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    4318
  • Lastpage
    4321
  • Abstract
    The requirement for power supply reliability and power quality has been increasing. When a fault occurs in distribution networks, fast locating and isolating the fault, restoring the power, and reducing outage time and area are becoming more and more crucial. The concept of fast self-healing has been proposed, which is also the requirement for smart grid development. In this paper, a self-healing reconfiguration technique is proposed for smart distribution networks with insertion of distributed generations (DGs). And a tree structure algorithm based on heuristic rules is proposed. Islands formed by DGs are used to deal with fault isolation and power restoration after a fault occurs. The effectiveness of the proposed algorithm is verified using a 26 bus bars test system with DGs.
  • Keywords
    busbars; distributed power generation; fault location; fault tolerance; power distribution faults; power distribution reliability; power generation faults; power supply quality; trees (mathematics); busbar test system; distributed generation; fault isolation; fault location; outage time reduction; power restoration; power supply quality; power supply reliability; self-healing reconfiguration technique; smart distribution networks; tree structure algorithm; Distributed power generation; Load flow; Power quality; Power system reliability; Reliability; distributed generation (DG); reconfiguration; self-healing; smart distribution network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6056982
  • Filename
    6056982