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
Link To Document :
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