• DocumentCode
    3324011
  • Title

    Multi-agent system for diagnostics, monitoring and control of electric systems

  • Author

    Deshmukh, A. ; Ponci, F. ; Monti, A. ; Riva, M. ; Cristaldi, L.

  • Author_Institution
    Dept. of Electr. Eng., South Carolina Univ., Columbia, SC
  • fYear
    2005
  • fDate
    6-10 Nov. 2005
  • Abstract
    Multi-agent systems can be defined as a network of interacting software modules that bring together dispersed systems that collectively manage complex tasks that are beyond the capacity of any individual system on the network. In this work, the aim behind this technology is to monitor and diagnose an electric system to validate certain control actions on the system depending on changing operating conditions. The application uses a peer to peer approach rather than a hierarchical manager/slaves approach
  • Keywords
    multi-agent systems; power system control; power system faults; power system measurement; electric system control; electric system diagnostics; electric system monitoring; multiagent system; peer to peer approach; Condition monitoring; Control systems; Energy management; Helium; Intelligent systems; Multiagent systems; Power system control; Power system management; Power system simulation; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-59975-174-7
  • Type

    conf

  • DOI
    10.1109/ISAP.2005.1599263
  • Filename
    1599263