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UID:20250723T055126EDT-29887wcuDG@132.216.98.100
DTSTAMP:20250723T095126Z
DESCRIPTION:Virtual Informal Systems Seminar (VISS) Centre for Intelligent 
 Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decision
 s (GERAD)\n\nZoom Link\n\nMeeting ID: 910 7928 6959\n	Passcode: VISS\n\nSpe
 aker: Eilyan Bitar\, Associate Professor\, School of Electrical and Comput
 er Engineering\, Cornell University\n\nAbstract:\n\nThe wide-scale electri
 fication of the transportation sector won't be possible without careful pl
 anning and coordination with the power grid and the companies that manage 
 its operation. If left unmanaged\, the uncoordinated charging of EVs at in
 creased levels of penetration will amplify existing peak loads\, potential
 ly outstripping the grid's current capacity to meet demand. In this talk\,
  I'll present findings from the OptimizEV Project--a real-world pilot stud
 y in Upstate New York exploring a novel approach to coordinated residentia
 l EV charging. As one of its primary objectives\, the OptimizEV platform s
 eeks to harness the latent flexibility in EV charging by offering EV owner
 s monetary incentives to delay the time required to charge their EVs. Each
  time an EV owner initiates a charging session\, they can specify how long
  they intend to leave their vehicle plugged in by selecting from a 'menu o
 f deadlines' that offers lower electricity prices the longer they're willi
 ng to delay the time required to charge their car. Given a collection of a
 ctive charging requests\, a smart charging system dynamically optimizes th
 e power being drawn by every EV in real time to minimize their collective 
 strain on the grid\, while ensuring that every customer's car is fully cha
 rged by its deadline. Customers get their energy when they need it and the
  smart charging system can optimally coordinate the delivery of that energ
 y to avoid spikes in demand. I'll describe important lessons learned from 
 the OptimizEV Project related to customer behavior\, EV charging character
 istics\, and transportation patterns. Directions for future research will 
 also be discussed.\n\nBiography:\n\nEilyan Bitar is an Associate Professor
  in the School of Electrical and Computer Engineering at Cornell Universit
 y. His current research is focused on the optimization\, control\, and eco
 nomics of sustainable electric power and transportation systems. He receiv
 ed his BS (2006) and PhD (2011) from UC Berkeley. Prior to joining Cornell
  in 2012\, he spent one year as a Postdoctoral Fellow at the California In
 stitute of Technology and UC Berkeley. He is a recipient of the NSF Facult
 y Early Career Development Award (CAREER)\, the David D. Croll Sesquicente
 nnial Faculty Fellowship\, the John and Janet McMurtry Fellowship\, the Jo
 hn G. Maurer Fellowship\, and the Robert F. Steidel Jr. Fellowship.\n
DTSTART:20220422T180000Z
DTEND:20220422T190000Z
LOCATION:CA\, ZOOM
SUMMARY:Achieving Reliable Coordination of Residential Plug-in Electric Veh
 icle Charging: A Pilot Study in Upstate New York
URL:/cim/channels/event/achieving-reliable-coordinatio
 n-residential-plug-electric-vehicle-charging-pilot-study-upstate-new-33911
 9
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