Renewable Energy Integration with Electric Vehicle Technology

This book presents different aspects of renewable energy-based electric vehicle (EV) integration into the grid system. In this book, different challenges during the integration of EVs to the grid are discussed. Further, by enabling EVs to act as distributed energy storage units in a grid system, how to improve grid stability and reduce the risk of outages by providing critical support to the grid during peak demand periods and periods of renewable energy intermittency are also discussed. This book emphasizes various schemes for data privacy and cybersecurity during the integration of EVs into the grid. It also discussed how plug-in hybrid electric vehicles (PHEVs) can help reduce energy demand during peak hours and earn revenue for owners. This book presents the application of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the seamless integration of renewable energy-based EVs into the grid. This book leads toward cost-effective and environmentally benign utilization of a future energy system portfolio by providing a cyber-enabled sustainable pathway toward deep integration of intelligent decision-makers in the renewable energy-based EV into the grid system. This book is an effort to educate the next generation of academicians, researchers, and industry personnel with proficient analytics and improve national energy sustainability.

Surender Reddy Salkuti has been working with Woosong University, Daejeon, Republic of Korea, as an associate professor in the Department of Global Railways since April 2014. He received a Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Delhi (IITD), New Delhi, India, in 2013. He was a postdoctoral researcher at Howard University, Washington, DC, USA, from 2013 to 2014. His research interests include power system restructuring issues, smart grid development with the integration of wind and solar photovoltaic energy sources, battery storage, electric vehicles, demand response, power system analysis and optimization, artificial intelligence and soft computing techniques application in power systems, and renewable energy. He has published four edited volumes with Springer (LNEE and GREEN) and over 300 research articles in peer-reviewed international journals and conference proceedings. He served as a guest editor for various international journals. 

Papia Ray received her Bachelor of Engineering (Electrical Engineering) degree from Government Engineering College, Bihar, Master of Technology (Power Systems) from National Institute of Technology, Jamshedpur, and Ph.D. degree from Indian Institute of Technology, Delhi in 2013. She has more than 23 years of teaching experience. She has more than 100 research publications in journals like IET, Elsevier, Wiley, etc. She is a senior member of IEEE, a fellow of the Institution of Engineers, and a life member of ISTE. Her research interest includes power system protection, wide area measurement systems, power quality, renewable energy, forecasting, and biomedical engineering, etc. She is presently serving as a professor in the Electrical Engineering Department of NITTTR Kolkata. She has guided 5 Ph.D.s as sole supervisor and completed one research project sponsored by DST, New Delhi.