Microgrid Cyberphysical Systems: Renewable Energy and Plug-in Vehicle Integration - Softcover

Softcover

ISBN 10: 0323999107 ISBN 13: 9780323999106

Publisher: Elsevier, 2022

Synopsis

Microgrid Cyberphysical Systems: Renewable Energy and Plug-in Vehicle Integration outlines the fundamental concepts on microgrid system design and control in a cyberphysical framework, focusing on the integration of renewables and EVs into microgrids. Including operational, control and management perspectives, the volume aims to optimize the reliability and economic performance of microgrids, focusing on power quality, storage and voltage and frequency control. The work encompasses generation, transmission, protection and load management under uncertainty and discusses critical drivers in robustness, uncertainty and sustainability management. Focusing on applied implementations, chapters are supported by detailed methods, heavy figurative explication, and comparative and integrative analysis.

Case studies range across chapters. In addition, chapters are supported by representative experimental or test bed validations of proposed algorithms or methods which can be directly applied to reader problems.

• Provides advanced controller methodologies to efficiently optimize the operation of microgrids with high levels of connected renewable generators and electric vehicles
• Explores powerful approaches for the prevention of cyberattacks in microgrid systems
• Addresses design issues for power quality filters suitable for microgrid robustness, uncertainty and sustainability handling
• Includes field-tested methods, heavy case studies and an implementation focus with supporting experimental or test bed validations of proposed algorithms or methods in MATLAB

About this title

About the Authors

Bidyadhar Subudhi received the Bachelor Degree in Electrical Engineering from National Institute of Technology, Rourkela, India, Master of Technology in Control & Instrumentation from Indian Institute of Technology, Delhi, India in 1988 and 1994 respectively and Ph.D. degree in Control System Engineering from Univ. of Sheffield in 2003. He was a post doc in the Dept of Electrical and Computer Engineering, National University of Singapore in 2005. He authored/co-authored 130 research papers, 3 books and 12 book and book chapters. Currently he is a professor in the School of Electrical Science at Indian Institute of Technology Goa, India. He is a Senior Member of IEEE, Fellow IET and Fellow of INAE. His research interests include system and control, PV and Microgrid Control and Active power filtering.

Pravat Kumar Ray received the B.E. degree in Electrical Engineering from Indira Gandhi Institute of Technology Sarang, Odisha, India, in 2000, the M.E. degree in Electrical Engineering from Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India, in 2003, and the Ph.D. degree in Electrical Engineering from National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2011. He was also a Postdoctoral Fellow at Nanyang Technological University, Singapore during Jan. 2016 to June 2017. He is currently serving as an Associate Professor, Electrical Engineering in NIT Rourkela. He has guided 8 Ph.D. theses. He works on several sponsored R&D projects. He authored/co-authored 100 research papers. His research interests include Estimation & Filtering in Power System, Power system operation and control, Power Quality, Hybrid AC/DC Micro-grids, Smart Grid, Solar irradiance forecasting, Renewable Integration

From the Back Cover

Microgrid Cyberphysical Systems: Renewable Energy and Plug-in Vehicle Integration outlines the fundamental concepts on microgrid system design and control in a cyberphysical framework, focusing on the integration of renewables and EVs into microgrids. Taking an operational, control and management perspectives the volume aims to optimize the reliability and economic performance of microgrids, focusing on power quality, storage and voltage and frequency control. The work encompasses generation, transmission, protection, and load management under uncertainty, and discusses critical drivers in robustness, uncertainty and sustainability management. Focusing on applied implementations, chapters are supported by detailed methods, heavy figurative explication, and comparative and integrative analysis. Case studies range fully across chapters. Many chapters are supported by representative experimental or test bed validations of proposed algorithms or methods which can be directly applied to reader problems.

Edition details

• Publisher: Elsevier
• Publication date: 2022
• Language: English
• ISBN 10: 0323999107
• ISBN 13: 9780323999106
• Binding: Paperback
• Number of pages: 298
• Editor: Subudhi, Ray