國立虎尾科技大學 |

Probabilistic Reliability Analysis of Power Systems = A Student’s Introduction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probabilistic Reliability Analysis of Power Systems/ by Bart W. Tuinema, José L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A. M. M. van der Meijden.
其他題名:	A Student’s Introduction /
作者:	Tuinema, Bart W.
其他作者:	van der Meijden, Mart A. M. M.
面頁冊數:	XII, 334 p. 187 illus., 23 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Optimization. -
電子資源:	https://doi.org/10.1007/978-3-030-43498-4
ISBN:	9783030434984

Probabilistic Reliability Analysis of Power Systems = A Student’s Introduction /
Tuinema, Bart W.

Probabilistic Reliability Analysis of Power SystemsA Student’s Introduction /[electronic resource] :by Bart W. Tuinema, José L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A. M. M. van der Meijden. - 1st ed. 2020. - XII, 334 p. 187 illus., 23 illus. in color.online resource.

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

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

669174
Optimization.

LC Class. No.: TA169.7

Dewey Class. No.: 658.56

Probabilistic Reliability Analysis of Power Systems = A Student’s Introduction /
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