Probabilistic reliability analysis of power systems : a students introduction /

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Bibliographic Details
Author / Creator:Tuinema, Bart W.
Imprint:Cham : Springer, 2020.
Description:1 online resource (xii, 334 p.) : ill. (some col.)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12605079
Hidden Bibliographic Details
Other authors / contributors:Rueda Torres, José L., 1980-
Stefanov, Alexandru I.
Gonzalez-Longatt, Francisco, 1972-
Meijden, Mart A. M. M van der.
ISBN:9783030434984
3030434982
9783030434977
3030434974
Notes:Includes bibliographical references and index.
Summary: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.
Other form:Print version: Tuinema, Bart W. Probabilistic Reliability Analysis of Power Systems : A Student's Introduction Cham : Springer International Publishing AG,c2020 9783030434977
Standard no.:10.1007/978-3-030-43

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245 1 0 |a Probabilistic reliability analysis of power systems :  |b a students introduction /  |c Bart W. Tuinema, José L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A. M. M. van der Meijden. 
264 1 |a Cham :  |b Springer,  |c 2020. 
300 |a 1 online resource (xii, 334 p.) :  |b ill. (some col.) 
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337 |a computer  |b c  |2 rdamedia 
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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. 
504 |a Includes bibliographical references and index. 
650 0 |a Electric power systems  |x Reliability. 
650 0 |a Reliability (Engineering)  |x Statistical methods.  |0 http://id.loc.gov/authorities/subjects/sh85112512 
650 7 |a Electrical engineering.  |2 bicssc 
650 7 |a Alternative & renewable energy sources & technology.  |2 bicssc 
650 7 |a Optimization.  |2 bicssc 
650 7 |a Reliability engineering.  |2 bicssc 
650 7 |a Technology & Engineering  |x Machinery.  |2 bisacsh 
650 7 |a Technology & Engineering  |x Power Resources  |x Alternative & Renewable.  |2 bisacsh 
650 7 |a Mathematics  |x Applied.  |2 bisacsh 
650 7 |a Technology & Engineering  |x Quality Control.  |2 bisacsh 
650 7 |a Electric power systems  |x Reliability.  |2 fast  |0 (OCoLC)fst00905583 
650 7 |a Reliability (Engineering)  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01093658 
655 4 |a Electronic books. 
700 1 |a Rueda Torres, José L.,  |d 1980-  |0 http://id.loc.gov/authorities/names/no2017128489 
700 1 |a Stefanov, Alexandru I. 
700 1 |a Gonzalez-Longatt, Francisco,  |d 1972-  |0 http://id.loc.gov/authorities/names/no2017128586 
700 1 |a Meijden, Mart A. M. M van der. 
776 0 8 |i Print version:  |a Tuinema, Bart W.  |t Probabilistic Reliability Analysis of Power Systems : A Student's Introduction  |d Cham : Springer International Publishing AG,c2020  |z 9783030434977 
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