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001 978-3-030-43498-4
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005 20220801215551.0
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008 200422s2020 sz | s |||| 0|eng d
020 _a9783030434984
_9978-3-030-43498-4
024 7 _a10.1007/978-3-030-43498-4
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aTuinema, Bart W.
_eauthor.
_0(orcid)0000-0001-9167-717X
_1https://orcid.org/0000-0001-9167-717X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945149
245 1 0 _aProbabilistic Reliability Analysis of Power Systems
_h[electronic resource] :
_bA Student’s Introduction /
_cby Bart W. Tuinema, José L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A. M. M. van der Meijden.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXII, 334 p. 187 illus., 23 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Power System Failures -- Reliability Models of Components -- Reliability Models of Small Systems -- Reliability Models of Large Systems -- Probabilistic Optimal Power Flow -- Conclusion.
520 _aThis 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 _aSecurity systems.
_931879
650 0 _aElectric power production.
_927574
650 0 _aRenewable energy sources.
_94906
650 0 _aMathematical optimization.
_94112
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aElectrical Power Engineering.
_931821
650 2 4 _aRenewable Energy.
_913722
650 2 4 _aOptimization.
_945150
700 1 _aRueda Torres, José L.
_eauthor.
_0(orcid)0000-0001-7288-0228
_1https://orcid.org/0000-0001-7288-0228
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945151
700 1 _aStefanov, Alexandru I.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945152
700 1 _aGonzalez-Longatt, Francisco M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945153
700 1 _avan der Meijden, Mart A. M. M.
_eauthor.
_0(orcid)0000-0003-3582-4520
_1https://orcid.org/0000-0003-3582-4520
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945154
710 2 _aSpringerLink (Online service)
_945155
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030434977
776 0 8 _iPrinted edition:
_z9783030434991
776 0 8 _iPrinted edition:
_z9783030435004
856 4 0 _uhttps://doi.org/10.1007/978-3-030-43498-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77628
_d77628