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Toward self-healing energy infrastructure systems
Amin, M.
EPRI, Palo Alto, CA;
This paper appears in: Computer Applications in Power, IEEE
Publication Date: Jan 2001
Volume: 14,
Issue: 1
On page(s): 20-28
ISSN: 0895-0156
References Cited: 5
CODEN: ICAPEH
INSPEC Accession Number: 6824057
Digital Object Identifier: 10.1109/67.893351
Posted online: 2002-08-07 00:17:55.0
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Virtually every crucial economic and social function depends on
the secure, reliable operation of energy, telecommunications,
transportation, financial, and other infrastructures. However, with
increased benefit has come increased risk. As they have grown more
complex to handle a variety of demands, these infrastructures have
become more interdependent. This strong interdependence means that an
action in one part of one infrastructure network can rapidly create
global effects by cascading throughout the same network and even into
other networks. Moreover, interdependence is only one of several
characteristics that challenge the control and reliable operation of
these networks. These characteristics, in turn, present unique
challenges in modeling, prediction, simulation, cause-and-effect
relationships, analysis, optimization, and control. Deregulation and
economic factors and policies and human performance also affect these
networks. The Complex Interactive Networks/Systems Initiative (GIN/SI)
is a joint program by the Electric Power Research Institute (EPRI) and
the US Department of Defense (DOD) that is addressing many of these
issues. The goal of the 5-year, $30 million effort, which is part of the
Government-Industry Collaborative University Research (GICUR) program,
is to develop new tools and techniques that will enable large national
infrastructures to self-heal in response to threats, material failures,
and other destabilizers. Of particular interest is how to model
enterprises at the appropriate level of complexity in critical
infrastructure systems
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