• DocumentCode
    2684590
  • Title

    Toward a self-healing energy infrastructure

  • Author

    Amin, Massoud

  • Author_Institution
    Minnesota Univ., Duluth, MN
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Virtually every crucial economic and social function depends on the secure, reliable operation of energy, telecommunications, transportation, financial, and other infrastructures. The nature of electricity demand is undergoing a profound shift in industrialized nations across the globe. From a strategic R & D viewpoint, agility and robustness/survivability of large-scale dynamic networks that face new and unanticipated operating conditions are presented. A major challenge is posed by the lack of a unified mathematical framework with robust tools for modeling, simulation, control and optimization of time-critical operations in complex multicomponent and multiscaled networks. New tools and techniques are being developed to enable large national infrastructures to function in ways that are self-stabilizing, self-optimizing, and self-healing. This presentation focuses on a strategic vision extending to a decade, or longer, that would enable more secure and robust systems operation, security monitoring and efficient energy markets
  • Keywords
    power markets; power system economics; power system measurement; power system reliability; power system security; complex multicomponent networks; electricity demand; energy markets; energy operation reliability; large-scale dynamic networks; multiscaled networks; robust systems operation; security monitoring; self-healing energy infrastructure; Large-scale systems; Mathematical model; Monitoring; National security; Power generation economics; Robust control; Robustness; Telecommunication network reliability; Time factors; Transportation; Self-healing infrastructure; and handling rare events; characterization of uncertainty in large distributed networks; computation and control; distributed sensing; intelligent agents; modeling and control of complex dynamical systems; stochastic analysis of network performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709607
  • Filename
    1709607