Probabilistic Reliability Analysis of Power Systems - A Student's Introduction (Paperback, 1st ed. 2020)

This textbook provides an introduction to probabilistic reliability analysis of power systems. It discusses a range of probabilistic methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic methods for modelling renewable energy sources. The textbook describes real-life studies, discussing practical examples and providing interesting problems, teaching students the methods in a thorough and hands-on way. The textbook has chapters dedicated to reliability models for components (reliability functions, component life cycle, two-state Markov model, stress-strength model), small systems (reliability networks, Markov models, fault/event tree analysis) and large systems (generation adequacy, state enumeration, Monte-Carlo simulation). Moreover, it contains chapters about probabilistic optimal power flow, the reliability of underground cables and cyber-physical power systems. After reading this book, engineering students will be able to apply various methods to model the reliability of power system components, smaller and larger systems. The textbook will be accessible to power engineering students, as well as students from mathematics, computer science, physics, mechanical engineering, policy & management, and will allow them to apply reliability analysis methods to their own areas of expertise.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	April 2021
First published:	2020
Authors:	Bart W. Tuinema • Jose L. Rueda Torres • Alexandru I. Stefanov • Francisco M. Gonzalez-Longatt • Mart A.M.M. van der Meijden
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	334
Edition:	1st ed. 2020
ISBN-13:	978-3-03-043500-4
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	3-03-043500-8
Barcode:	9783030435004

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