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This enlightening volume examines core areas of development in
electric power systems, emphasizing the pivotal contributions of
women engineers to the industry’s evolution. The authors cover a
broad spectrum of key topics, including generation technologies,
transmission and distribution progress, environmental challenges,
worldwide electrification, and workforce issues. Advances in
conventional and renewable energy technologies, in parallel with
growing environmental concerns, and in conjunction with the aging
of both the infrastructure itself and the workforce, have led to
imposing and fascinating challenges for the engineers of tomorrow.
This book documents the critical role of women engineers and their
pioneering discoveries, relates their stories of success and
struggle in their own words, and shares their perspectives on how
these challenges will be addressed in the decades ahead.
"Control and Optimization Methods for Electric Smart Grids" brings
together leading experts in power, control and communication
systems, and consolidates some of the most promising recent
research in smart grid modeling, control and optimization in hopes
of laying the foundation for future advances in this critical field
of study. The contents comprise eighteen essays addressing wide
varieties of control-theoretic problems for tomorrow's power grid.
Topics covered include control architectures for power system
networks with large-scale penetration of renewable energy and
plug-in vehicles, optimal demand response, new modeling methods for
electricity markets, cyber-security, data analysis and wide-area
control using synchronized phasor measurements.
The electric power industry is reaching a tipping point at which
technological, organizational and societal changes are extremely
hard to reconcile. Different views are taken by different
communities and the taxonomies used are hard to relate. This
monograph considers the broad multi-disciplinary problem of
providing sustainable and resilient electricity services. It
introduces technology-agnostic unified modeling foundations and
illustrates their use toward end-to-end cyber design for provable
performance of complex electric energy systems. The role of cyber
social-ecological energy systems (SEES) is formalized by using the
language of large-scale dynamical systems and the key notion of
interaction variables is introduced in support of their modeling as
multilayered dynamical systems. It is stressed that qualitatively
different cyber designs are required for enabling performance of
qualitatively different SEES architectures and in particular, it is
proposed that composite control-based hierarchical control lends
itself more naturally to supporting large-scale regulated
monopolies, and that distributed multi-layered control with or
without coordination is key to supporting SEES architectures
comprising many decision makers. Today's hierarchical control is
described as a particular case of hierarchical composite control.
Having these formulations may help bridge R&D efforts across
vastly multi-disciplinary communities working in the field of
changing electric energy systems.
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