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New Computational Methods in Power System Reliability: Studies in Computational Intelligence, cartea 111

Editat de David Elmakias
en Limba Engleză Hardback – 7 iul 2008
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.
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Specificații

ISBN-13: 9783540778103
ISBN-10: 3540778101
Pagini: 420
Ilustrații: XIV, 404 p. 119 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.82 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Basic Notions of Power System Reliability.- Basic Tools and Techniques.- Reliability of Generation Systems.- Reliability Assessment for Elements of Transmission and Transformation Systems.- Reliability of Distribution Systems.

Textul de pe ultima copertă

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.

Caracteristici

Comprehensive up-to-date presentation of novel tools for power system reliability analysis and optimization and to present examples of applications