Plug In Electric Vehicles in Smart Grids: Energy Management

Plug In Electric Vehicles in Smart Grids: Energy Management

Paperback(Softcover reprint of the original 1st ed. 2015)

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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.

Product Details

ISBN-13: 9789811013751
Publisher: Springer Singapore
Publication date: 08/31/2016
Series: Power Systems
Edition description: Softcover reprint of the original 1st ed. 2015
Pages: 316
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Dr. Sumedha Rajakaruna received his Ph.D. in Electrical Engineering from the University of Toronto, Ontario, Canada. He was a Lecturer at University of Moratuwa, Sri Lanka until 2000 and then an Assistant Professor at Nanyang Technological University, Singapore until 2007. Since 2007, he is at Curtin University, Perth, Australia. He is the founding Director and Lead Designer of Green Electric Energy Park at Curtin University, a state of the art renewable energy laboratory built at the cost of over $1.2 million in 2012. He is the supervisor of more than 10 PhD graduates and has published 2 book chapters and over 40 research articles.

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.

Table of Contents

Overview of Plug-in Electric Vehicles Technologies.- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing.- Plug-in Electric Vehicles Management in Smart Distribution Systems.- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid.- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.- Integration of Distribution Grid Constraints in an Event-driven Control Strategy for Plug-in Electric Vehicles in a Multi-aggregator Setting.- Distributed Load Management using Additive Increase Multiplicative Decrease based Techniques.- Towards a Business Case for Vehicle-to-Grid – Maximizing Profits in Ancillary Service Markets.- Integration of PEVs into Power Markets: A Bidding Strategy for a Fleet Aggregator.- Optimal Control of Plug-in Vehicles Fleets in microgrids.- Energy Management in Microgrids with Plug-in Electric Vehicles, Distributed Energy Resources and Smart Home Appliances.

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