INTEGRATED FRAMEWORK FOR VEHICLE-TO-GRID SYSTEMS
In the coming decades, plug-in electric vehicles (PEVs) will revolutionize personal transportation as more consumers recognize the unsustainable dependence on fossil fuels and as these electric vehicles become more affordable. However, the large increase in demand that will accompany the transition to electric-drive transportation can cause the power infrastructure to become overburdened leading to issues of reliability. This is because we currently lack effective ways of regulating charging and discharging while incorporating the multi-faceted complexities such as driving behavior, travel patterns, technical limitations, social, economic and environmental impacts. This projects aims to establish an integrated framework for centralized vehicle-to-grid systems using algorithms that incorporate preferences of all actors in the system. The research will result in the establishment of an integrated framework for managing PEV charging and discharging while incorporating the multi-faceted complexities. This research leverages methods and results from the fields of control systems, socio-technical system design, operations research and management science
GOAL AND OBJECTIVES
The goal of this study is to design effective mechanisms to facilitate the integration of PEVs into the electric grid.
Design of hybrid control techniques for battery charging based on performance criteria
Establishment of an integrated framework for managing PEV charging and discharging while incorporating multi-faceted complexities.
University of South Carolina Upstate
Contact: Dr. Ona Egbue (Principal Investigator)
University of Minnesota Duluth
Contact: Dr. Desineni "Subarram" Naidu (Co-Principal Investigator)