Grid Connected Converters: Modeling, Stability and Control - Softcover

Bevrani, Hassan; Kato, Toshiji; Ise, Toshifumi; Inoue, Kaoru

Softcover

ISBN 10: 0323999026 ISBN 13: 9780323999021

Publisher: Elsevier, 2022

Synopsis

Grid Connected Converters: Modeling, Stability and Control discusses the foundations and core applications of this diverse field, from structure, modeling and dynamic equivalencing through power and microgrids dynamics and stability, before moving on to controller synthesis methodologies for a powerful range of applications. The work opens with physical constraints and engineering aspects of advanced control schemes. Robust and adaptive control strategies are evaluated using real-time simulation and experimental studies. Once foundations have been established, the work goes on to address new technical challenges such as virtual synchronous generators and synergic inertia emulation in response to low inertia challenges in modern power grids.

The book also addresses advanced systematic control synthesis methodologies to enhance system stability and dynamic performance in the presence of uncertainties, practical constraints and cyberattacks.

• Addresses new approaches for modeling, stability analysis and control design of GCCs
• Proposes robust and flexible GCC control frameworks for supporting grid regulation
• Emphasizes the application of GCCs in inertia emulation, oscillation damping control, and dynamic shaping
• Addresses systematic control synthesis methodologies for system security and dynamic performance

About this title

About the Authors

Hassan Bevrani received PhD degree in electrical engineering from Osaka University (Japan) in 2004. He is a professor and the Program Leader of the Smart/Micro Grids Research Center (SMGRC) at the University of Kurdistan. Over the years, he has worked with Osaka University, Kyushu Institute of Technology, Nagoya University, Kumamoto University (Japan), Queensland University of Technology (Australia), Centrale Lille (France), and Technical University of Berlin (Germany). Currently, he is a visiting professor at the Doshisha University and an experienced research fellow of AvH Foundation (Germany). He is the author of 6 international books, 15 book chapters, and more than 300 journal/conference papers. He has been the guest editor of 5 volumes of Elsevier Energy Procedia and Energy Reports journals. His current research interests include stability analysis and control of renewable integrated power grids, smart grids, microgrids, flexible controlled power converters, and Intelligent/robust control applications in the power electric industry.

Toshiji Kato was born in Kyoto, Japan. He received the B.E., M.E., and Ph.D. degrees from Doshisha University, Kyoto, in 1979, 1981, and 1986, respectively. Since 1981, he has been with Doshisha University, where he is currently a professor with the Department of Electrical Engineering. He was a visiting scientist with the Institut de Recherché d’Hydro-Québec (IREQ), Varennes, QC, Canada, in 1990, and the Laboratory for Electromagnetic and Electronic Systems (LEES), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, from 1990 to 1992. His current research interests include grid-connected converters, computer analysis, and control of power and power electronic systems. Professor Kato is a fellow of IEE of Japan, and a senior member of IEEE.

Toshifumi Ise received the B.Eng., M. Eng., and D. Eng. degrees in electrical engineering from Osaka University, Osaka, Japan, in 1980, 1982, and 1986, respectively. From 1986 to 1990, he was with the Nara National College of Technology, Nara, Japan. Since 1990, he had been with the Faculty of Engineering and the Graduate School of Engineering, Osaka University. He was a Professor, from August 2002 to March 2018. He is currently a Professor Emeritus with Osaka University and the President of the Nara-Gakuen Incorporated Educational Institution. His research interests are in the areas of power electronics and applied superconductivity for power systems. He is a Fellow of the Institute of Electrical Engineers of Japan (IEEJ).

Kaoru Inoue was born in Osaka, Japan. He received the B.E. and M.E. degrees from Kansai University, Suita, Japan, in 1996 and 1998, respectively, and the Ph.D. degree from Osaka University, Suita, in 2001. He was a research fellow with the Japan Society for the Promotion of Science, Tokyo, Japan, from 2000 to 2001. Since 2001, he has been with the Department of Electrical Engineering, Doshisha University, Kyoto, Japan, where he is currently a professor. He was a visiting scholar with the Department of Electrical Engineering and Computer Science (EECS), University of California, Berkeley, CA, USA, from 2007 to 2008. His current research interests include analysis and control of power electronics and motor drive systems. Professor Inoue is a member of IEEE, IEICE, and IEE of Japan.

From the Back Cover

Advanced control methodologies for grid-connected converters (GCC) bring the potential to offset the intrinsic intermittency of distributed energy resources and provide control support to the host utility during abnormal conditions. Grid Connected Converters discusses the foundations and core applications of this diverse field, from structure, modeling and dynamic equivalencing through power and microgrids dynamics and stability, before moving on to controller synthesis methodologies for a powerful range of applications. The work opens with physical constraints and engineering aspects of advanced control schemes. Robust and adaptive control strategies are evaluated using real-time simulation and experimental studies. Once the foundations have been established, the work goes on to address new technical challenges such as virtual synchronous generators and synergic inertia emulation in response to low inertia challenges in modern power grids. The book also addresses advanced systematic control synthesis methodologies to enhance system stability and dynamic performance in the presence of uncertainties, practical constraints and cyber-attacks.

Edition details

• Publisher: Elsevier
• Publication date: 2022
• Language: English
• ISBN 10: 0323999026
• ISBN 13: 9780323999021
• Binding: Paperback
• Edition number: 1
• Number of pages: 310