New Computational Methods in Power System Reliability

✍ Scribed by David Elmakias (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2008
Tongue: English
Leaves: 419
Series: Studies in Computational Intelligence 111
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Power system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability. On the contrary, it describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks. It is suitable for different types of readers. It primarily addresses practising reliability engineers and researchers who have an interest in reliability and performability analysis of power systems. It can also be used as a textbook for senior undergraduate or graduate courses in electrical engineering.

✦ Table of Contents

Front Matter....Pages 1-14
Basic Notions of Power System Reliability....Pages 1-54
Basic Tools and Techniques....Pages 55-170
Reliability of Generation Systems....Pages 171-238
Reliability Assessment for Elements of Transmission and Transformation Systems....Pages 239-372
Reliability of Distribution Systems....Pages 373-404

✦ Subjects

Artificial Intelligence (incl. Robotics); Appl.Mathematics/Computational Methods of Engineering

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