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This book outlines the challenges that increasing amounts of
renewable and distributed energy represent when integrated into
established electricity grid infrastructures, offering a range of
potential solutions that will support engineers, grid operators,
system planners, utilities, and policymakers alike in their efforts
to realize the vision of moving toward greener, more secure energy
portfolios. Covering all major renewable sources, from wind and
solar, to waste energy and hydropower, the authors highlight case
studies of successful integration scenarios to demonstrate pathways
toward overcoming the complexities created by variable and
distributed generation.
This book outlines the challenges that increasing amounts of
renewable and distributed energy represent when integrated into
established electricity grid infrastructures, offering a range of
potential solutions that will support engineers, grid operators,
system planners, utilities, and policymakers alike in their efforts
to realize the vision of moving toward greener, more secure energy
portfolios. Covering all major renewable sources, from wind and
solar, to waste energy and hydropower, the authors highlight case
studies of successful integration scenarios to demonstrate pathways
toward overcoming the complexities created by variable and
distributed generation.
The starting point in the formulation of any numerical problem is
to take an intuitive idea about the problem in question and to
translate it into precise mathematical language. This book provides
step-by-step descriptions of how to formulate numerical problems
and develops techniques for solving them. A number of engineering
case studies motivate the development of efficient algorithms that
involve, in some cases, transformation of the problem from its
initial formulation into a more tractable form. Five general
problem classes are considered: linear systems of equations,
non-linear systems of equations, unconstrained optimization,
equality-constrained optimization and inequality-constrained
optimization. The book contains many worked examples and homework
exercises and is suitable for students of engineering or operations
research taking courses in optimization. Supplementary material
including solutions, lecture slides and appendices are available
online at www.cambridge.org/9780521855648.
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