Focusing on power systems reliability and generating unit
commitments, which are essential in the design and evaluation of
the electric power systems for planning, control, and operation,
this informative volume covers the concepts of basic reliability
engineering, such as power system spinning reserve, types of load
curves and their objectives and benefits, the electric power
exchange, and the system operation constraints. The author explains
how the probability theory plays an important role in reliability
applications and discusses the probability applications in electric
power systems that led to the development of the mathematical
models that are illustrated in the book. The algorithms that are
presented throughout the chapters will help researchers and
engineers to implement their own suitable programs where needed and
will also be valuable for students. The Artificial Neural Networks
(ANN) and Fuzzy Logic (FL) systems are discussed and a number of
load estimation models are built for some cases, where their
formulas are developed. A number of developed models are presented,
including the Kronecker techniques, Fourth-Order Runge-Kutta,
System Multiplication Method, or Adams Method; and components with
different connections and different distributions are presented. A
number of examples are explained showing how to build and evaluate
power plants.
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