Integrating electric vehicles (EVs) into power distribution systems presents significant challenges, particularly concerning power source dependability and grid stability. The distribution system, a critical element of the power system, is susceptible to failures and power outages exacerbated by the extensive adoption of EVs. Additionally, managing the administration, monitoring, and control of power systems in the context of EV integration is a complex and daunting task for energy experts.

A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations offers a comprehensive solution to these challenges. It explores infrastructure frameworks, planning strategies, control strategies, and software applications for integrating EVs with power distribution systems, focusing on innovative grid developments. By providing insights into architectural reconfiguration, restoration strategies, power quality control, and regulatory aspects, the book equips readers with the knowledge needed to achieve a secure, resilient, and efficient integration of EVs into distribution networks.

This book is a valuable resource for a diverse audience, including students, researchers, academicians, policymakers, and industry experts. It demystifies the complexities of e-mobility, offers economic benefits, and provides standards for interoperability. Bridging the gap between theory and practice empowers stakeholders to make informed decisions, develop effective frameworks, and promote sustainable energy systems.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Architecture Design
Battery Density
Blockchain Technology
Charging Infrastructure
Collaboration
Distributed Energy Sources
Driver Assist
Electric Vehicle
E-Mobility
Flexibility
Government Initiatives
Infrastructure Design
Instant Torque
Policy and Incentives
Smart Grid

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Editor/Author Biographies

Lakshmi D. has 26 years of teaching experience. She has addressed innumerable guest lectures, acted as a session chair, and was invited as a keynote speaker at several international conferences. She has conducted FDPs that cover approximately ~1,00,000 members. She has 20 international conference presentations and 2 papers that got best paper awards, 30 international journal papers inclusive of SCOPUS & SCI (cumulative impact factor 38.33). A total of 20 SCOPUS-indexed book chapters. A total of 24 patents are in various states at both national and international levels. She was appointed as an external examiner for several Ph.D candidates. Under her supervision, one scholar has completed a Ph.D. She received two educational awards in the year 2022. She has 3 books under self-publication. She acted as a SPOC to SIH-2022, SIH-2023, and KAVACH-2023. She has created 15 hours of the high-quality course "Python Essentials" at VIDyarthi Platform. She has 7 SCOPUS Indexed book edits.

Neelu Nagpal (Senior Member, IEEE) received the bachelor’s degree in electrical engineering from the Delhi College of Engineering, the master’ degree (Hons.) in control and instrumentation from Delhi University, and the Ph.D. degree in electrical engineering from Delhi Technological University, Delhi, India. She is presently working as an Associate Professor in EEE Department of Maharaja Agrasen Institute of Technology, Delhi (affiliated to GGSIP University, Delhi). She has a grant of one Australian patent. Her research interests include stochastic and nonlinear control, state estimation, smart grid technologies, renewable energy integration, and artificial intelligence. She was a recipient of the Commendable Research Award from Delhi Technological University, during her Ph.D. course. She is the Vice-Chair of the 2023 IEEE Smart Cities Ambassador Program. She is Associate Editor of IEEE Journal of Emerging and Selected Topics in Power Electronics (Special issue) and Editor of 2 books.

Neelam Kassarwani received her B. E. degree in electrical engineering from Gorakhpur University, Gorakhpur, her M.E. degree in electrical engineering (Power Apparatus and Systems) from Delhi University, Delhi, India, and her Ph.D. degree in electrical engineering from the National Institute of Technology (NIT), Kurukshetra, Haryana, India. She did her Ph.D. on the topic “Performance Study of Dynamic Voltage Restorer for Mitigation of Voltage Sags”. Currently, she is working as an Associate Professor in the Electrical and Electronics Engineering Department at the Maharaja Agrasen Institute of Technology, Delhi, India. She received the award of national scholarship during her graduation. She has vast experience in teaching various subjects, power systems, control systems, materials in electrical systems, and power electronics for more than eighteen years in various Technical Institutes. She has also worked with a Govt. Consultancy as an Electrical Engineer for eight years. She has published various papers in international journals and conferences. Her research findings are related to artificial intelligence, machine learning applications in power systems, power systems, dynamic voltage restorer, load frequency control, load forecasting, prediction, and optimization techniques. She has authored and co authored various research papers, and chapters published.

Vishnuvarthanan Govindaraj is an Associate Professor at VIT-Bhopal University, Bhopal, Madhya Pradesh, in the Division of Data Science of the School of Computing Science and Education. He earned a PhD in Electronics and Communication Engineering for his thesis “Tumor Detection and Tissue Segmentation in Multimodal MR Brain Images Using Fuzzy and Optimization Techniques” in 2015. He taught at three of Tamil Nadu's top engineering schools for fourteen years. He has published more than 100 journal papers in 31 international journals included in the Science Citation Index Database, with the greatest impact factor being 17.560 and the average being 4.923. His publications in IEEE Transactions on Fuzzy Systems (12.253), Industrial Informatics (11.648), and Information Fusion (Elsevier) are notable. He has written or co-written more than 70 SCOPUS-indexed conference papers. He has two Scopus-indexed book chapters and has reviewed fourteen journals, including IEEE Transactions on Fuzzy Systems, Neural Networks and Learning Systems, Current Medical Imaging and Reviews, and Neural Processing Letters. Three journals—Computers in Biology and Medicine, Applied Soft Computing, and OPTIK—have accredited him as a reviewer. Medical Image Processing, AI, Machine Learning, and Pattern Recognition are his specialties.

Pierluigi Siano (M’09–SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Full Professor of Electrical Power Systems and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. In 2013 he received the Italian National Scientific Qualification as Full Professor in the competition sector electrical energy engineering. His research activities are centered on the integration of distributed energy resources in smart distribution systems and on planning and management of power systems. In these research fields, he has co-authored more than 760 articles including more than 460 international journals that received in Scopus more than 20200 citations with an H-index equal to 68. Since 2019 he has been awarded as a Highly Cited Researcher in Engineering by Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is an Editor for the Power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON POWER SYSTEMS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE SYSTEMS.

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