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Record Nr. |
UNINA9910392739603321 |
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Autore |
Tuinema Bart W |
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Titolo |
Probabilistic Reliability Analysis of Power Systems : A Student’s Introduction / / by Bart W. Tuinema, José L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A. M. M. van der Meijden |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (337 pages) |
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Disciplina |
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Soggetti |
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Quality control |
Reliability |
Industrial safety |
Power electronics |
Renewable energy resources |
Mathematical optimization |
Quality Control, Reliability, Safety and Risk |
Power Electronics, Electrical Machines and Networks |
Renewable and Green Energy |
Optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Power System Failures -- Reliability Models of Components -- Reliability Models of Small Systems -- Reliability Models of Large Systems -- Probabilistic Optimal Power Flow -- Conclusion. |
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Sommario/riassunto |
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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 |
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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. |
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