Editors:
- Highlights cutting-edge research on Demand Side Management (DSM) within smart grids to consider the charging of batteries of Plug-in Electric Vehicles (PEVs)
- Enlists the development of smart time-of-day electricity tariffs for better management of the electric vehicles load in smart grids
- Also highlights the secure communication systems that are used to manage the charging of PEVs in smart grids
- Includes supplementary material: sn.pub/extras
Part of the book series: Power Systems (POWSYS)
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Table of contents (11 chapters)
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Front Matter
About this book
This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.
Editors and Affiliations
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Electrical & Computer Engineering, Curtin University, Perth, Australia
Sumedha Rajakaruna, Arindam Ghosh
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Electrical and Computer Engineering, Curtin University, Perth, Australia
Farhad Shahnia
About the editors
Dr. Farhad Shahnia received his Ph.D. in Electrical Engineering from Queensland University of Technology, Brisbane, Australia. He is currently a Lecturer in Curtin University, Perth, Australia. His professional experience includes three years at Research Office-Eastern Azarbayjan Electric Power Distribution Company, Tabriz, Iran. Prior to joining Curtin University, he was a research fellow in Queensland University of Technology, Brisbane, Australia. He has published 5 book chapters, 8 journal papers and 55 conference papers.
Dr. Arindam Ghosh received his Ph.D. in Electrical Engineering from University of Calgary, Canada in 1983. Currently, he is a Professor of Power Engineering at Curtin University, Perth, Australia. Prior to joining the Curtin in 2013, he was with Queensland University of Technology, Brisbane, Australia from 2006 to 2012 and with the Department of Electrical Engineering at IIT Kanpur, India, for 21 years. He is a fellow of INAE and IEEE. He has published 1 book, 6 book chapters and more than 350 papers in international conferences and journals.
Bibliographic Information
Book Title: Plug In Electric Vehicles in Smart Grids
Book Subtitle: Energy Management
Editors: Sumedha Rajakaruna, Farhad Shahnia, Arindam Ghosh
Series Title: Power Systems
DOI: https://doi.org/10.1007/978-981-287-302-6
Publisher: Springer Singapore
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Science+Business Media Singapore 2015
Hardcover ISBN: 978-981-287-301-9Published: 15 December 2014
Softcover ISBN: 978-981-10-1375-1Published: 22 September 2016
eBook ISBN: 978-981-287-302-6Published: 29 November 2014
Series ISSN: 1612-1287
Series E-ISSN: 1860-4676
Edition Number: 1
Number of Pages: IX, 316
Number of Illustrations: 33 b/w illustrations, 79 illustrations in colour
Topics: Transportation, Control and Systems Theory, Energy Systems, Energy Policy, Economics and Management, Measurement Science and Instrumentation