Title :
Charging rate optimization for plug-in hybrid electric vehicles in smart grid
Author :
Darabi, Zahra ; Ferdowsi, Mehdi
Author_Institution :
Electr. & Comput. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
This paper defines an optimization problem which intends to find a time-variant optimal charging rate for plug-in hybrid electric vehicles (PHEVs). The main objective is to maximize the energy delivered to the PHEV fleet while considering the power grid and drivers´ constraints. The decision variable is the charging rate at each 30 minutes while the constraints are the maximum generation capacity of the power grid, the maximum delay tolerance of the customers, and the charging rate boundaries. In order to solve the optimization problem, a simulation framework modeling the interactions between the power grid and drivers is designed. Finally, the optimization problem is applied to a region of the North American Electric Reliability Corporation (NERC) and the results are discussed.
Keywords :
hybrid electric vehicles; optimisation; smart power grids; NERC; North American Electric Reliability Corporation; PHEV fleet; charging rate optimization; decision variable; drivers constraints; generation capacity; maximum delay tolerance; plug-in hybrid electric vehicles; power grid; smart grid; time-variant optimal charging rate; Conferences; Hybrid electric vehicles; Load modeling; Optimization; Smart grids; Charging rate optimization; charging load; simulation framework; smart charging; smart grid;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
DOI :
10.1109/ECCE.2012.6342357