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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants
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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems (Hardcover)
Loot Price: R3,760
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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems (Hardcover)
Expected to ship within 12 - 17 working days
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Reviews state-of-the-art technologies in modern heuristic
optimization techniques and presents case studies showing how they
have been applied in complex power and energy systems problems
Written by a team of international experts, this book describes the
use of metaheuristic applications in the analysis and design of
electric power systems. This includes a discussion of optimum
energy and commitment of generation (nonrenewable & renewable)
and load resources during day-to-day operations and control
activities in regulated and competitive market structures, along
with transmission and distribution systems. Applications of Modern
Heuristic Optimization Methods in Power and Energy Systems begins
with an introduction and overview of applications in power and
energy systems before moving on to planning and operation, control,
and distribution. Further chapters cover the integration of
renewable energy and the smart grid and electricity markets. The
book finishes with final conclusions drawn by the editors.
Applications of Modern Heuristic Optimization Methods in Power and
Energy Systems: Explains the application of differential evolution
in electric power systems' active power multi-objective optimal
dispatch Includes studies of optimization and stability in load
frequency control in modern power systems Describes optimal
compliance of reactive power requirements in near-shore wind power
plants Features contributions from noted experts in the field Ideal
for power and energy systems designers, planners, operators, and
consultants, Applications of Modern Heuristic Optimization Methods
in Power and Energy Systems will also benefit engineers, software
developers, researchers, academics, and students.
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