*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Probabilistic Analysis and Control Methods for Electric Vehicle Charging
Committee:
Dr. Coogan, Advisor
Dr. Wardi, Chair
Dr. Grubert
Abstract: The objective of the proposed research is to study the electric vehicle (EV) charging ecosystem that is comprised of various entities such as charging facility operators, customers, and utility providers. As widespread adoption of EVs continues to proliferate, there is a growing need for intelligent ways to manage the interactions amongst the EV charging ecosystem stakeholders. EV charging is subject to many random processes that affect the ways the participants in the ecosystem behave; hence, it is often advantageous to frame the problem from a probabilistic perspective. While there are many approaches to addressing the EV charging ecosystem problems, we focus primarily on pricing-based planning methods. We present preliminary work that constructs two operational pricing models for resource-constrained EV charging facilities. In addition, we formulate and derive probabilistic guarantees on the charging facility resource limits. These results are illustrated via numerical studies. Lastly, we outline research paths that build upon the proposed work.
