New Computational Methods in Power System Reliability

David Elmakias

ISBN 10: 3540778101 / ISBN 13: 9783540778103

Published by Springer, Springer Jul 2008, 2008

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 420 pp. Englisch.

Seller Inventory # 9783540778103

Bibliographic Details

• Title: New Computational Methods in Power System Reliability
• Publisher: Springer, Springer Jul 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 3540778101
• ISBN 13: 9783540778103
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 793 grams

About this title

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.