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Books > Professional & Technical > Electronics & communications engineering
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Merging Optimization and Control in Power Systems - Physical and Cyber Restrictions in Distributed Frequency Control and Beyond (Hardcover)
Loot Price: R3,283
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Merging Optimization and Control in Power Systems - Physical and Cyber Restrictions in Distributed Frequency Control and Beyond (Hardcover)
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Merging Optimization and Control in Power Systems A novel
exploration of distributed control in power systems with insightful
discussions of physical and cyber restrictions In Merging
Optimization and Control in Power Systems an accomplished team of
engineers deliver a comprehensive introduction to distributed
optimal control in power systems. The book re-imagines control
design within the framework of cyber-physical systems with
restrictions in both the physical and cyber spaces, addressing
operational constraints, non-smooth objective functions, rapid
power fluctuations caused by renewable generations, partial control
coverage, communication delays, and non-identical sampling rates.
This book bridges the gap between optimization and control in two
ways. First, optimization-based feedback control is explored. The
authors describe feedback controllers which automatically drive
system states asymptotically to specific, desired optimal working
points. Second, the book discusses feedback-based optimization.
Leveraging the philosophy of feedback control, the authors envision
the online solving of complicated optimization and control problems
of power systems to adapt to time-varying environments. Readers
will also find: A thorough argument against the traditional and
centralized hierarchy of power system control in favor of the
merged approach described in the book Comprehensive explorations of
the fundamental changes gripping the power system today, including
the increasing penetration of renewable and distributed generation,
the proliferation of electric vehicles, and increases in load
demand Data, tables, illustrations, and case studies covering
realistic power systems and experiments In-depth examinations of
physical and cyber restrictions, as well as the robustness and
adaptability of the proposed model Perfect for postgraduate
students and researchers with the prerequisite knowledge of power
system analysis, operation, and dynamics, convex optimization
theory, and control theory, Merging Optimization and Control in
Power Systems is an advanced and timely treatment of distributed
optimal controller design.
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