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

Tuinema, Bart W.; Rueda Torres, José L.; Stefanov, Alexandru I.; Gonzalez-Longatt, Francisco M.; Van Der Meijden, Mart A. M. M.

Brossura

ISBN 10: 3030435008 ISBN 13: 9783030435004

Casa editrice: Springer, 2021

Riassunto

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.

Su questo libro

Informazioni sull?autore

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 NationalUniversity of San Juan, where he had studied with a scholarship from DAAD. In March 2014, he started as an Assistant Professor for Intelligent Electrical Power Grids at the Department of Electrical Sustainable Energy, Technical University Delft. In April 2018, he was promoted to Associate Professor. He has taken part in various professional activities including chairing or vice-chairing various committees and working groups, being on conference boards, and working as associate editor for the ‘Swarm and Evolutionary Computation Journal’. His current research interests include power system reliability, modelling for stability studies (off-line and real-time digital simulation), optimal control design, and renewable energy technologies.

Alexandru Stefanov is currently Assistant Professor of Intelligent Electrical Power Grids at the Department of Electrical Sustainable Energy, Delft University of Technology (TU Delft), the Netherlands. His research interests are resilience of cyber-physical energy systems and cyber security for power grids. He holds the registered professional title of Chartered Engineer (CEng MIEI) from the Institution of Engineers of Ireland. He is member of the IEEE and regular member of CIGRE Working Group C2.25 on Power System Operational Resilience. He worked as Senior Engineer from 2018 until 2019 at NovoGrid Ltd. in Dublin, Ireland. Previously, he worked as Professional Engineer from 2015 until 2018 in the Operations Department at ESB Networks; the distribution system operator in Ireland. He has postdoctoral research experience and graduated his PhD in Power Systems (summa cum laude 2015) from University College Dublin, Ireland. He graduated his M.Sc. and B.Sc. in Power Systems Engineering from University Politehnica of Bucharest (summa cum laude 2011 and 2009, respectively), Romania.

Francisco M. Gonzalez-Longatt is currently full professor in electrical power engineering at Institutt for elektro, IT og kybernetikk, Universitetet i Sørøst-Norge, Norway. His academic qualifications include first Class Electrical Engineering of Instituto Universitario Politécnico de la Fuerza Armada Nacional, Venezuela (1994), Master of Business Administration (Honors) of Universidad Bicentenaria de Aragua, Venezuela (1999), PhD in Electrical Power Engineering from the Universidad Central de Venezuela (2008) and Postgraduate Certificate in Higher Education Professional Practice from Coventry University (2013) and Diploma in Leadership and Management (ILM Level 3), Loughborough University (2018). He is a former a Lecturer in Electrical Power System at Loughborough University (2013-2019). He is Vice-President of Venezuelan Wind Energy Association, Fellow of the Higher Education Academy (UK), Senior Member of the IEEE, member of The Institution of Engineering and Technology - The IET (UK) and member of International Council on Large Electric Systems -CIGRE. His research interests include innovative (operation/control) schemes to optimize the performance of future energy systems. 

Mart A.M.M. van der Meijden received his M.Sc. degree (cum laude) in Electrical Engineering from the Technical University of Eindhoven, in 1981. From 1982 till 1988 he worked with ASEA/ABB in the field of process automation. 1n 1986 he designed the world’s first distributed (micro-process computer based) high-speed emergency load shedding system for large refineries, In the last 30 years, he has been working with different Dutch energy companies on the transmission and the distribution of gas, district heating and electricity. Since June 2011, Mart is also full professor at the Delft University of Technology in the Department of Electrical Sustainable Energy, which is part of the university’s Faculty of Electrical Engineering, Mathematics and Computer Science. His chair is Large-Scale Sustainable Power Systems. He lectures Power Systems of the Future to MSc students and his research team is working on various outstanding (inter-)national research projects.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030435008
• ISBN 13: 9783030435004
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 348
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