This book covers robust optimization theory and applications in the
electricity sector. The advantage of robust optimization with respect to
other methodologies for decision making under uncertainty are first
discussed. Then, the robust optimization theory is covered in a friendly
and tutorial manner. Finally, a number of insightful short- and
long-term applications pertaining to the electricity sector are
considered.
Specifically, the book includes: robust set characterization, robust
optimization, adaptive robust optimization, hybrid robust-stochastic
optimization, applications to short- and medium-term operations problems
in the electricity sector, and applications to long-term investment
problems in the electricity sector. Each chapter contains end-of-chapter
problems, making it suitable for use as a text.
The purpose of the book is to provide a self-contained overview of
robust optimization techniques for decision making under uncertainty in
the electricity sector. The targeted audience includes industrial and
power engineering students and practitioners in energy fields. The young
field of robust optimization is reaching maturity in many respects. It
is also useful for practitioners, as it provides a number of electricity
industry applications described up to working algorithms (in JuliaOpt).