• DocumentCode
    1744611
  • Title

    Modeling the grid as a customer-driven system: emerging challenges and opportunities for self-healing infrastructures

  • Author

    Tsoukalas, Lefteri H.

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    28 Jan-1 Feb 2001
  • Abstract
    Summary form only given, as follows. The Consortium for the Intelligent Management of the Electric Power Grid (CIMEG) is developing a new theoretical approach to modeling the deregulated power grid as a customer-driven system. The approach is demonstrated through TELOS, an agent-based anticipatory system that is under development in the service areas of ComEd and TVA. When the grid is viewed through the temporal behavior of customers several possibilities for defensive and ameliorative strategies become easy to implement in an efficient and reliable manner. Yet, new modeling, identification and prediction challenges emerge. The authors present new contributions and give a status report on the CIMEG´s accomplishments and work in progress
  • Keywords
    electricity supply industry; power system analysis computing; power system identification; software agents; Consortium for the Intelligent Management of the Electric Power Grid; TELOS agent-based anticipatory system; USA; customer-driven system; deregulated power grid; emerging challenges; grid modelling; identification; modeling; prediction; self-healing infrastructures; temporal customer behavior; Energy management; Power grids; Power system management; Power system modeling; Power systems; 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.2001.917024
  • Filename
    917024