Title :
Optimal Design of Grid-Connected PEV Charging Systems With Integrated Distributed Resources
Author :
Gunter, S.J. ; Afridi, Khurram ; Perreault, David J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
The penetration of plug-in electric vehicles and renewable distributed generation is expected to increase over the next few decades. Large scale unregulated deployment of either technology can have a detrimental impact on the electric grid. However, appropriate pairing of these technologies along with some storage could mitigate their individual negative impacts. This paper presents a framework and an optimization methodology for designing grid-connected systems that integrate plug-in electric vehicle chargers, distributed generation and storage. To demonstrate its usefulness, this methodology is applied to the design of optimal architectures for a residential charging case. It is shown that, given current costs, maximizing grid power usage minimizes system lifecycle cost. However, depending upon the location´s solar irradiance patterns, architectures with solar photovoltaic generation can be more cost effective than architectures without. Additionally, Li-ion storage technology and micro wind turbines are not yet cost effective when compared to alternative solutions.
Keywords :
battery powered vehicles; distributed power generation; optimisation; photovoltaic power systems; power grids; secondary cells; distributed storage; grid connected PEV charging systems; grid power usage minimization; integrated distributed resources; optimal design; optimization methodology; plug-in electric vehicle charger; renewable distributed generation; solar irradiance pattern; solar photovoltaic generation; system lifecycle cost; Energy storage; Linear programming; Mathematical model; Optimization; Power generation; Vectors; Vehicles; Distributed power generation; electric vehicles; energy storage; integer linear programming; linear programming; power grids;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2227514