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DTSTAMP:20220415T125434Z
UID:C5C016DF-AFAB-4C55-9686-4EF414141529
DTSTART;TZID=Canada/Central:20220414T190000
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DESCRIPTION:The transition to electric vehicles (EVs) is gaining momentum a
 round the world and the major drivers for this acceleration are the rising
  awareness by the public for maintaining a clean environment\, reducing po
 llutant emissions\, breaking dependencies on oil\, as well as tapping into
  cleaner sources of energies. EVs acceptance however is hindered by severa
 l challenges\; among them is their shorter driving range\, slower charging
  rates\, and the ubiquitous availability of charging locations\, collectiv
 ely contributing to higher anxieties for EVs drivers. To mitigate this anx
 iety\, a naïve approach is to expand the charging network\, while an unpl
 anned expansion may challenge the generation\, transmission and distributi
 on sector of the grid along with being a potential cyber-physical attack p
 latform. As a consequence\, to attain a graceful EV penetration for curtai
 ling GHG emission\, along with the socioeconomic initiatives\, an extensiv
 e research is required\, especially to mitigate the range anxiety and amel
 iorate the load congestion on the grid. Fortunately\, the IoT enabled char
 ging ecosystem (i.e.\, EVs\, charging stations\, the grid etc.) enables sm
 art and informed charging schemes to exploit the benefit of different dist
 ributed 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 I
 oT 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.\n\nVirtual: https://events.vtools.ieee.org/m/30
 9875
LOCATION:Virtual: https://events.vtools.ieee.org/m/309875
ORGANIZER:l5zhao@ryerson.ca
SEQUENCE:2
SUMMARY:Intelligent and Secure Integration of Electric Vehicles into the Sm
 art Grid
URL;VALUE=URI:https://events.vtools.ieee.org/m/309875
X-ALT-DESC:Description: <br /><p>The transition to electric vehicles (EVs) 
 is gaining momentum around the world and the major drivers for this accele
 ration are the rising awareness by the public for maintaining a clean envi
 ronment\, 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 ra
 nge\, slower charging rates\, and the ubiquitous availability of charging 
 locations\, collectively contributing to higher anxieties for EVs drivers.
  To mitigate this anxiety\, a na&iuml\;ve approach is to expand the chargi
 ng network\, while an unplanned expansion may challenge the generation\, t
 ransmission and distribution sector of the grid along with being a potenti
 al 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. Fortunat
 ely\, 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 t
 ransfer technology\, etc.) to minimize the load burden of the grid. But\, 
 on the other hand\, this IoT enabled charging ecosystem unveils a new cybe
 r-physical attack surface and hence\, new challenges also need to be addre
 ssed to make this charging ecosystem secure as well. &nbsp\;&nbsp\;&nbsp\;
 </p>
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