Electric Power Systems Advanced Forecasting Techniques and Optimal Generation Scheduling by Joao P. S. Catalao
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Electric Power Systems Advanced Forecasting Techniques and Optimal Generation Scheduling by Joao P. S. Catalao


A wide-ranging impression about the subjects discussed in this book is
that the topics are pivotal for understanding and solving some of the problems
flourishing in the second decade of the twenty-first century in the field of
management of electric power generation systems. Noticeably, the chapters begin
with some knowledge from the last decade to uncover lines of research on some
of the present knowledge, and, in due course, anticipate some of the admissible
lines for future research in management of electric power generation systems.
The scope of the book is well defined and of significant interest.

Indeed, the
development of new methodologies carrying away an improved forecasting and
scheduling of electric power generation systems is crucial under the new
competitive and environmentally constrained energy policy. The capability to
cope with uncertainty and risk will benefit significantly generating companies.
It is a fact that to avoid losing advantages of participating in the
electricity market or negotiating bilateral contracts, a power producer should
self-schedule its power system in anticipation. In recognition of this fact,
hydro and thermal scheduling are relevant topics today.

Already, wind power
generation is playing an important role in some countries and will be even more
important in the nearby future of energy supply in many countries. Thus,
optimal coordination between hydro, thermal, and wind power is of utmost importance.
Deterministic and stochastic modeling frameworks are allowing the development
of the next generation of computational tools to help successful management of
electric power generation systems. Research is underway to conquer the
capability to cope with the present and the future of electric power generation
systems as shown in this book.

The book fills a need in its field by having
adequate strong points to fulfill not only the graduate learning task, written
by qualified university professors in a pedagogical and systematic way with
excellent quality, but also expands on many of the latest results that are
adequate for engineers and researchers working in this field today. Many parts
of the book are based on the author’s and other’s current research and some
parts have never appeared elsewhere in text books; most of these discussions
have been proposed as PhD theses, postdoctoral research, and industrial
development carried out by the authors, but have been selected with
opportunity, written with accuracy, and are well balanced in theory and

Each chapter is organized with adequate emphasis, coherently and
effectively, presenting large-value, up-to-date research showing novelty,
launching into the mind of
interested readers’ future lines for cutting-edge research on forecasting and
scheduling issues regarding electric power generation systems. The text has
three main parts. The first part, Chapter 1, constitutes indispensable
knowledge and embarks on the report of real-world problems, concerning the
present technology of electric power generation systems, regarding both the
structure and repercussion of these problems.

The second part, Chapters 2
through 5, conveys the items on uncertainty, risk, and short-term forecast to
systematize the development of information management systems, helping power
system decision-makers to rise above the unknown and capricious behavior of the
present and nearby future of power generation systems. Both, the importance of
accessing those items and the formulation of the problems are discussed. No
doubt that this part is of major importance and a crucial input for the
scheduling task, aiming at the most favorable use of the energy sources
available, which is the scope of the next part of the text. The third part,
Chapters 6 through 10, is devoted to the rationality studies for developing
information management systems to help take decisions to avoid losing
advantages offered by playing in energy markets or negotiating bilateral

Hydro and thermal scheduling are discussed both by identifying the
main variables and parameters and by the formulation of the corresponding
mathematical programming problems to achieve optimal decision. Wind power
generation is addressed in coordination with thermal and hydropower
generations. The thrust point, concluding this last part, is operation of
multigeneration systems. Both the formulation and solution methodologies
embodying a component supported by the theory of multiobjective programming and
planning are discussed.

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