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Probabilistic Reliability Analysis of Power Systems

Name: Probabilistic Reliability Analysis of Power Systems
Brand: Springer Nature Switzerland AG
SKU: 9783030435004
Price: 275.9 PLN
Availability: InStock

Autor: José L. Rueda Torres, Mart A. M. M. van der Meijden, Francisco M. Gonzalez-Longatt, Alexandru I. Stefanov

Język:

Oprawa: Miękka

Wydawca: Springer Nature Switzerland AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 5-8 dni

275.90 zł

This textbook provides an introduction to probabilistic reliability analysis of power systems. It di...

Informacje o książce

Autor

José L. Rueda Torres, Mart A. M. M. van der Meijden, Francisco M. Gonzalez-Longatt, Alexandru I. Stefanov

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2021

strony

348

EAN

9783030435004

ISBN

3030435008

Enbook ID

35722110

Wydawca

Springer Nature Switzerland AG

Waga

528

Wymiary

155 x 235 x 19

Pełny opis

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.