Intelligent Renewable Energy Systems: Modelling and Control
2016년 8월 · Springer
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Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained.
The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed:
• Modeling and control of power generators (PMSGs, DFIGs);
• Modeling and control of power electronics (converters, inverters);
• Modeling and fault diagnosis of the transmission and distribution Grid; and
• Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units).
Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.
The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed:
• Modeling and control of power generators (PMSGs, DFIGs);
• Modeling and control of power electronics (converters, inverters);
• Modeling and fault diagnosis of the transmission and distribution Grid; and
• Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units).
Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.
저자 정보
Dr. G. Rigatos, obtained a diploma (1995) and a Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. He currently holds a Researcher position at the Industrial Systems Institute (Greek Secretariat for Research and Technology), on the topic of “Modelling and Control of Industrial Systems”.
In 2001 he was a post-doctoral researcher at the Institut de Recherche en Informatique et Systèmes Aléatoires IRISA, in Rennes France, while in 2007 he was an invited professor (maître des conférences) at Université Paris XI (Institut d’ Electronique Fondamentale). In 2012 he held a Lecturer Position at the Department of Engineering, of Harper-Adams University College, in Shropshire, UK on the topic of “Mechatronics and Artificial Intelligence". He has also been an adjunct professor in Greek Universities where he has taught courses on systems and control theory.
His research interests include control and robotics, optimization and fault diagnosis, adaptive systems and computational intelligence. He is editor-in-chief of the Journal of Intelligent Industrial Systems (Springer) which sets among its priorities research on renewable energy systems. He is a Senior member of the IEEE, and member of IET and IMACS.
In 2001 he was a post-doctoral researcher at the Institut de Recherche en Informatique et Systèmes Aléatoires IRISA, in Rennes France, while in 2007 he was an invited professor (maître des conférences) at Université Paris XI (Institut d’ Electronique Fondamentale). In 2012 he held a Lecturer Position at the Department of Engineering, of Harper-Adams University College, in Shropshire, UK on the topic of “Mechatronics and Artificial Intelligence". He has also been an adjunct professor in Greek Universities where he has taught courses on systems and control theory.
His research interests include control and robotics, optimization and fault diagnosis, adaptive systems and computational intelligence. He is editor-in-chief of the Journal of Intelligent Industrial Systems (Springer) which sets among its priorities research on renewable energy systems. He is a Senior member of the IEEE, and member of IET and IMACS.
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