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Probabilistic reliability analysis of power systemsa students introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probabilistic reliability analysis of power systemsby Bart W. Tuinema ... [et al.].
Reminder of title:	a students introduction /
other author:	Tuinema, Bart W.
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 334 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric power systemsReliability.
Online resource:	https://doi.org/10.1007/978-3-030-43498-4
ISBN:	9783030434984$q(electronic bk.)

Probabilistic reliability analysis of power systemsa students introduction /
Probabilistic reliability analysis of power systemsa students introduction /[electronic resource] :by Bart W. Tuinema ... [et al.]. - Cham :Springer International Publishing :2020. - xii, 334 p. :ill. (some col.), digital ;24 cm.

Introduction -- Power System Failures -- Reliability Models of Components -- Reliability Models of Small Systems -- Reliability Models of Large Systems -- Probabilistic Optimal Power Flow -- Conclusion.

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.

ISBN: 9783030434984$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43498-4doiSubjects--Topical Terms:

203171
Electric power systems
--Reliability.

LC Class. No.: TK1010

Dewey Class. No.: 621.31

Probabilistic reliability analysis of power systemsa students introduction /
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245 0 0 $a Probabilistic reliability analysis of power systems $h [electronic resource] : $b a students introduction / $c by Bart W. Tuinema ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xii, 334 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- Power System Failures -- Reliability Models of Components -- Reliability Models of Small Systems -- Reliability Models of Large Systems -- Probabilistic Optimal Power Flow -- Conclusion.
520 $a 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.
650 0 $a Electric power systems $x Reliability. $3 203171
650 0 $a Reliability (Engineering) $x Statistical methods. $3 182571
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Renewable and Green Energy. $3 309696
650 2 4 $a Optimization. $3 274084
700 1 $a Tuinema, Bart W. $3 858830
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-43498-4
950 $a Engineering (Springer-11647)