Toward a self-healing energy infrastructure

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

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 will be 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 will focus 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.

Original languageEnglish (US)
Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
PublisherIEEE Computer Society
ISBN (Print)1424404932, 9781424404933
DOIs
StatePublished - 2006
Event2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC, Canada
Duration: Jun 18 2006Jun 22 2006

Publication series

Name2006 IEEE Power Engineering Society General Meeting, PES

Other

Other2006 IEEE Power Engineering Society General Meeting, PES
CountryCanada
CityMontreal, QC
Period6/18/066/22/06

Keywords

  • Characterization of uncertainty in large distributed networks
  • Computation and control
  • Distributed sensing
  • Intelligent agents
  • Modeling and control of complex dynamical systems
  • Self-healing infrastructure
  • Stochastic analysis of network performance

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  • Cite this

    Amin, M. (2006). Toward a self-healing energy infrastructure. In 2006 IEEE Power Engineering Society General Meeting, PES [1709607] (2006 IEEE Power Engineering Society General Meeting, PES). IEEE Computer Society. https://doi.org/10.1109/pes.2006.1709607