Overview
- Comprehensive up-to-date presentation of novel tools for power system reliability analysis and optimization and to present examples of applications
Part of the book series: Studies in Computational Intelligence (SCI, volume 111)
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Table of contents (5 chapters)
Keywords
About this book
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.
Bibliographic Information
Book Title: New Computational Methods in Power System Reliability
Editors: David Elmakias
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-77812-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-77810-3Published: 07 July 2008
Softcover ISBN: 978-3-642-09657-0Published: 28 October 2010
eBook ISBN: 978-3-540-77812-7Published: 22 May 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 404
Number of Illustrations: 119 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence