
Microgrid Cyberphysical Systems
Renewable Energy and Plug-in Vehicle Integration
Elsevier (Publisher)
Published on 8. June 2022
Book
Paperback/Softback
298 pages
978-0-323-99910-6 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Illustrations
Approx. 300 illustrations; Illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
500 gr
ISBN-13
978-0-323-99910-6 (9780323999106)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Bidyadhar Subudhi | Pravat Kumar Ray
Microgrid Cyberphysical Systems
Renewable Energy and Plug-in Vehicle Integration
E-Book
06/2022
Elsevier
€108.00
Available for download
Persons
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
Editor
Professor in the School of Electrical Science at Indian Institute of Technology Goa, India
Associate Professor, National Institute of Technology, Rourkela (NIT Rourkela), Rourkela, Odisha, India
Content
1. Smart Grid as a Cyber Physical System
2. Integration of Renewables and Plug-in Electric Vehicles to Microgrid
3. Forecasting of solar irradiance to address intermittency and variability nature of Renewable energy
4. Control of PV and EV connected Smart Grid
5. Control scheme of Charging Control of Plug-in Electric Vehicles and Effects on forecasting electricity price
6. Power Management of PV and EV connected smart Grid
7. Advanced Hybrid Energy Storage Systems (HESS) with Solid State Transformer (SST) interface for improving reliability of Microgrid
8. Active Power Filtering in microgrid
9. Protection schemes in Microgrid
10. Networked Control and Internet of Things (IoT) applications to Microgrid
2. Integration of Renewables and Plug-in Electric Vehicles to Microgrid
3. Forecasting of solar irradiance to address intermittency and variability nature of Renewable energy
4. Control of PV and EV connected Smart Grid
5. Control scheme of Charging Control of Plug-in Electric Vehicles and Effects on forecasting electricity price
6. Power Management of PV and EV connected smart Grid
7. Advanced Hybrid Energy Storage Systems (HESS) with Solid State Transformer (SST) interface for improving reliability of Microgrid
8. Active Power Filtering in microgrid
9. Protection schemes in Microgrid
10. Networked Control and Internet of Things (IoT) applications to Microgrid