• DocumentCode
    1744610
  • Title

    Adaptation of multi-agent systems for power infrastructure defense

  • Author

    Liu, Chen-Ching

  • Author_Institution
    Washington Univ., WA, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    28 Jan-1 Feb 2001
  • Abstract
    Summary form only given, as follows. The operating environment of power systems cannot be modeled and predicted precisely. In this research, the author has applied the multi-agent system technology for power infrastructure defense. Each agent in the system has adaptive learning capabilities so that they can adapt to the power system´s vulnerability status. Each agent can update its control parameters or decisions through interactions with the actual power systems. Multiple agents in the system are able to cooperate with one another
  • Keywords
    electricity supply industry; learning (artificial intelligence); multi-agent systems; power system analysis computing; adaptive learning capabilities; computer simulation; multi-agent systems; operating environment; power infrastructure defense; power systems; vulnerability status; Adaptive systems; Computational modeling; Computer networks; Computer simulation; IP networks; Multiagent systems; Personal communication networks; Power system modeling; Power system simulation; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2001. IEEE
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    0-7803-6672-7
  • Type

    conf

  • DOI
    10.1109/PESW.2001.917023
  • Filename
    917023