Springer Probabilistic Reliability Analysis of Power Systems: A Student’s Introduction

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. From the Back Cover 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. About the Author Bart W. Tuinema received his B.Sc. and M.Sc. degrees from Delft University of Technology, in 2007 and 2009 respectively. In 2010, he joined the Intelligent Electrical Power Grids group of the Electrical Sustainable Energy department at the same institution as a Ph.D. researcher. In his Ph.D. research, he studied the reliability of power systems with respect to new developments like EHV underground cables and networks for large-scale offshore wind energy. He is currently working in the same group as a postdoc researcher, was involved in the MIGRATE project (Massive InteGRATion of power Electronic devices), and is currently involved in the TSO2020 project (Electric “Transmission and Storage Options” along TEN-E and TEN-T corridors for 2020). José Luis Rueda Torres received the Electrical Engineer Diploma from Escuela Politécnica Nacional, with cum laude honors in 2004. In November 2009, he received his Ph.D. degree in electrical engineering from the National University of San Juan, where he had studied with a scholarship from DAAD. In March 2014, he started as an Assistant Professor for Intell