Charging Rate Optimization for Plug-In Hybrid Electric Vehicles in Smart Grid
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.
Z. Darabi and M. Ferdowsi, "Charging Rate Optimization for Plug-In Hybrid Electric Vehicles in Smart Grid," Proceedings of the 4th Annual IEEE Energy Conversion Congress and Exposition (2012, Raleigh, NC), pp. 3070-3074, Institute of Electrical and Electronics Engineers (IEEE), Sep 2012.
The definitive version is available at https://doi.org/10.1109/ECCE.2012.6342357
4th Annual IEEE Energy Conversion Congress and Exposition (2012: Sep. 15-20, Raleigh, NC)
Electrical and Computer Engineering
Keywords and Phrases
Charging Loads; Charging Rate; Simulation Framework; Smart Charging; Smart Grid; Electric Power Distribution; Energy Conversion; Exhibitions; Optimization; Smart Power Grids; Problem Solving; Charging Load; Charging Rate Optimization; Hybrid Electric Vehicles; Smart Grids; Load Modeling; Conferences; Optimisation
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Article - Conference proceedings
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