書目名稱 | Probabilistic Reliability Analysis of Power Systems | 副標(biāo)題 | A Student’s Introduc | 編輯 | Bart W. Tuinema,José L. Rueda Torres,Mart A. M. M. | 視頻video | http://file.papertrans.cn/757/756823/756823.mp4 | 概述 | Teaches probabilistic reliability analysis of power systems.Demonstrates the use of reliability models using real-world case studies.Develops student’s skills in performing probabilistic reliability a | 圖書封面 |  | 描述 | .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, a | 出版日期 | Textbook 2020 | 關(guān)鍵詞 | Probabilistic Reliability Analysis; Sustainable Power Systems; Power System Planning; Reliability Model | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-43498-4 | isbn_softcover | 978-3-030-43500-4 | isbn_ebook | 978-3-030-43498-4 | copyright | Springer Nature Switzerland AG 2020 |
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