New Computational Methods in Power System Reliability [electronic resource] /edited by David Elmakias.
by Elmakias, David [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Studies in Computational Intelligence: 111Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: online resource.ISBN: 9783540778127.Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Engineering | Artificial Intelligence (incl. Robotics) | Appl.Mathematics/Computational Methods of EngineeringOnline resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | Available |
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.
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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