• DocumentCode
    1697623
  • Title

    Research on self-healing restoration strategy of urban power grid based on multi-agent technology

  • Author

    Wang Xiaojing ; Chen Xinying ; Hu HeXuan ; Yu Kun ; Li ZhenKun

  • Author_Institution
    Coll. of Energy & Electr. Eng, Hohai Univ., Nanjing, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1215
  • Lastpage
    1218
  • Abstract
    Rapid restoration after fault of urban power grid is important. In this paper a self-healing restoration strategy integrated multiple objectives is researched. N+1 restoration architecture based on multi-agent technology is built to implement the self-healing restoration strategy. N substation agents are in charge of restoration task inside substations, and a network agent is responsible for the corporation of tie lines between substations. Optimized objectives of restoration are divided into several levels using delaminating sequence method. Optimized load shedding strategy when restoration strategy is not satisfying constraint conditions is also established. Transformer fault and line fault are simulated respectively. The results confirm the validity of the proposed restoration strategy.
  • Keywords
    multi-agent systems; power engineering computing; power system faults; power system restoration; substations; transformers; N substation agents; N+1 restoration architecture; delaminating sequence method; multiagent technology; self-healing restoration strategy; transformer fault; urban power grid; Automation; Load modeling; Power grids; Power supplies; Substations; Switches; delaminating sequence method; multi-agent technology; power supply restoration; self-healing control; urban power grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180563
  • Filename
    6180563