• DocumentCode
    1080143
  • Title

    A Multi-Agent Solution to Distribution Systems Restoration

  • Author

    Solanki, Jignesh M. ; Khushalani, Sarika ; Schulz, Noel N.

  • Author_Institution
    Mississippi State Univ., Mississippi
  • Volume
    22
  • Issue
    3
  • fYear
    2007
  • Firstpage
    1026
  • Lastpage
    1034
  • Abstract
    The goal to provide faster and faster restoration after a fault is pushing the technical envelope related to new algorithms. While many approaches use centralized strategies, the concept of multi-agent systems (MAS) is creating a new option related to distributed analyses for restoration. This paper provides details on a MAS that restores a power system after a fault. The development of agents and behaviors of the agents are described, including communication of agents. The MAS is tested on two test systems and facilitates both full and partial restoration, including load prioritization and shedding.
  • Keywords
    load shedding; multi-agent systems; power distribution faults; power engineering computing; power system restoration; distribution systems restoration; load prioritization; load shedding; multiagent systems; partial restoration; Automation; Intelligent agent; Knowledge based systems; Multiagent systems; Power system analysis computing; Power system faults; Power system restoration; Software agents; Switches; System testing; Decentralized solution; intelligent agents; multi-agent system (MAS);
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2007.901280
  • Filename
    4282055