Intelligent and Secure Integration of Electric Vehicles into the Smart Grid

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The transition to electric vehicles (EVs) is gaining momentum around the world and the major drivers for this acceleration are the rising awareness by the public for maintaining a clean environment, reducing pollutant emissions, breaking dependencies on oil, as well as tapping into cleaner sources of energies. EVs acceptance however is hindered by several challenges; among them is their shorter driving range, slower charging rates, and the ubiquitous availability of charging locations, collectively contributing to higher anxieties for EVs drivers. To mitigate this anxiety, a naïve approach is to expand the charging network, while an unplanned expansion may challenge the generation, transmission and distribution sector of the grid along with being a potential cyber-physical attack platform. As a consequence, to attain a graceful EV penetration for curtailing GHG emission, along with the socioeconomic initiatives, an extensive research is required, especially to mitigate the range anxiety and ameliorate the load congestion on the grid. Fortunately, the IoT enabled charging ecosystem (i.e., EVs, charging stations, the grid etc.) enables smart and informed charging schemes to exploit the benefit of different distributed energy sources (e.g., renewable energy based standalone chargers, vehicle to grid or vehicle to vehicle energy transfer technology, etc.) to minimize the load burden of the grid. But, on the other hand, this IoT enabled charging ecosystem unveils a new cyber-physical attack surface and hence, new challenges also need to be addressed to make this charging ecosystem secure as well.    



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  • Date: 14 Apr 2022
  • Time: 07:00 PM to 08:00 PM
  • All times are (GMT-06:00) Canada/Central
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Zoom link: https://ryerson.zoom.us/j/96808290854



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Intelligent and Secure Integration of Electric Vehicles into the Smart Grid

The transition to electric vehicles (EVs) is gaining momentum around the world and the major drivers for this acceleration are the rising awareness by the public for maintaining a clean environment, reducing pollutant emissions, breaking dependencies on oil, as well as tapping into cleaner sources of energies. EVs acceptance however is hindered by several challenges; among them is their shorter driving range, slower charging rates, and the ubiquitous availability of charging locations, collectively contributing to higher anxieties for EVs drivers. To mitigate this anxiety, a naïve approach is to expand the charging network, while an unplanned expansion may challenge the generation, transmission and distribution sector of the grid along with being a potential cyber-physical attack platform. As a consequence, to attain a graceful EV penetration for curtailing GHG emission, along with the socioeconomic initiatives, an extensive research is required, especially to mitigate the range anxiety and ameliorate the load congestion on the grid. Fortunately, the IoT enabled charging ecosystem (i.e., EVs, charging stations, the grid etc.) enables smart and informed charging schemes to exploit the benefit of different distributed energy sources (e.g., renewable energy based standalone chargers, vehicle to grid or vehicle to vehicle energy transfer technology, etc.) to minimize the load burden of the grid. But, on the other hand, this IoT enabled charging ecosystem unveils a new cyber-physical attack surface and hence, new challenges also need to be addressed to make this charging ecosystem secure as well.    

Dr. Mohammad Ekramul Kabir is currently working as a Horizon postdoctoral research fellow in CIISE at Concordia University, Montreal, Canada. He obtained his PhD on Information and Systems Engineering from Concordia University in May 2021. He has received the B.Sc. and M.S. degree in Applied Physics, Electronics and Communication engineering from University of Dhaka, Bangladesh. His research interests include green, smart, and secure charging of electric vehicle, cloud/edge computing security and applications of artificial intelligence. He is a coauthor of a number of peer-reviewed journal and conference papers. He also serves/served as a reviewer for IEEE Transactions on Transportation Electrification, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Transactions on Network and Service Management, IEEE Intelligent Transportation Systems Magazine, IEEE PES General Meeting, etc.

Biography:

Dr. Mohammad Ekramul Kabir is currently working as a Horizon postdoctoral research fellow in CIISE at Concordia University, Montreal, Canada. He obtained his PhD on Information and Systems Engineering from Concordia University in May 2021. He has received the B.Sc. and M.S. degree in Applied Physics, Electronics and Communication engineering from University of Dhaka, Bangladesh. His research interests include green, smart, and secure charging of electric vehicle, cloud/edge computing security and applications of artificial intelligence. He is a coauthor of a number of peer-reviewed journal and conference papers. He also serves/served as a reviewer for IEEE Transactions on Transportation Electrification, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Transactions on Network and Service Management, IEEE Intelligent Transportation Systems Magazine, IEEE PES General Meeting, etc.