Electric vehicles offer more than just transportation; they hold the key to a more resilient energy grid. Vehicle-to-Grid (V2G) technology makes this possible, but significant technical, economic, social, and legal challenges stand in the way. This requires advancements in grid planning and operation, power electronics and control, communication, and charging infrastructure. The race is on to maximize the benefits of V2G while minimizing the risks.
Vehicle-to-Grid Technology in Power Distribution Systems is written for researchers and experts interested in EV-grid integration, solution providers for EV charging and power grid operation and planning, as well as experts in intelligent transport systems and policymakers. It investigates the lessons learned about the connection between V2G infrastructure and the distribution grid. After an introduction to V2G, chapters cover the adoption of EV and V2G in existing grids, EVs for demand side management, transactive EV management with V2G, bi-directional charging technologies, market landscapes in Europe, microgrid-based V2G-enabled charging stations, and emerging EV charging technologies and V2G applications, as well as legislative and regulatory effects.
Ali Moradi Amani is a senior research fellow and facility manager of Australia's first EV Living Lab at the Royal Melbourne Institute of Technology, Australia. His research focuses on resilient and reliable power grid control in the presence of renewables and electrification. A senior IEEE member with 10+ years of industry experience, he collaborates with international collaborators from institutions in Hong Kong, Vietnam, Japan, and Spain on clean energy and complex systems solutions.
Junwei Lu is a foundation professor in Electrical and Electronic Engineering at the School of Engineering and Built Environment of Griffiths University in Australia. He is also an IEEE Life senior member and ICS board member. His prior positions include State Grid in China and Toyama and Kanazawa Universities in Japan. His research interests include EMC computer modeling and simulation, transformers, WPT for EV and AGV, and V2G. He has published three books and over 400 papers and holds over ten international patents.
Mahdi Jalili is a professor of AI and electrical engineering at the Royal Melbourne Institute of Technology, Australia, and a senior member of IEEE. He earned a PhD degree at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. His research interests include network science, clean energy and electrification, and data analytics. He is the director of the Australian Research Council Industrial Transformation Training Centre in Electrifying Australia for Net-zero Future and holds an Australian Research Council Mid-Career Industry Fellowship. Previously, he was an Australian Research Council DECRA fellow and an RMIT Vice-Chancellor Research fellow.
Feifei Bai is a senior lecturer at the University of Queensland, Australia. She was awarded the Advance Queensland Fellow in 2018. Her research interests are renewable energy integration into the power grid, PMU applications, power system oscillation analysis and control. She collaborates with Australian industries through a range of projects, such as Energy Queensland, NOJA Power, EPEC Group, Iberdrola Australia, Powerlink, and AEMO. One project received an Australian Engineering Excellence Award in 2020.
