New computational methods in power system reliability /

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Bibliographic Details
Imprint:Berlin : Springer, ©2008.
Description:1 online resource (xiii, 404 pages) : illustrations.
Language:English
Series:Studies in Computational Intelligence, 1860-949X ; 111
Studies in computational intelligence ; 111.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11071865
Hidden Bibliographic Details
Other authors / contributors:Elmaḳis, Daṿid.
ISBN:9783540778127
3540778128
9783540778103
3540778101
Notes:Includes bibliographical references.
Print version record.
Summary: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.
Other form:Print version: New computational methods in power system reliability. Berlin : Springer, ©2008 9783540778103 3540778101
Standard no.:9786611850470