DocumentCode :
42728
Title :
Optimal Charging of Plug-in Electric Vehicles for a Car-Park Infrastructure
Author :
Tan Ma ; Mohammed, Osama A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Volume :
50
Issue :
4
fYear :
2014
fDate :
July-Aug. 2014
Firstpage :
2323
Lastpage :
2330
Abstract :
This paper proposes an intelligent workplace parking garage for plug-in hybrid electric vehicles (PHEVs). The system involves a developed smart power charging controller, a 75-kW photovoltaic (PV) panel, a dc distribution bus, and an ac utility grid. Stochastic models of the power that is demanded by PHEVs in the parking garage and the output power of the PV panel are presented. In order to limit the impact of the PHEVs´ charging on the utility ac grid, a fuzzy logic power-flow controller was designed. Based on their power requirements, the PHEVs were classified into five charging priorities with different rates according to the developed controller. The charging rates depend on the predicted PV output power, the power demand by the PHEVs, and the price of the energy from the utility grid. The developed system can dramatically limit the impact of PHEVs on the utility grid and reduce the charging cost. The system structure and the developed PHEV smart charging algorithm are described. Moreover, a comparison between the impact of the charging process of the PHEVs on the grid with and without the developed smart charging technique is presented and analyzed.
Keywords :
control system synthesis; fuzzy control; hybrid electric vehicles; load flow control; photovoltaic cells; photovoltaic power systems; power control; power distribution control; power distribution economics; smart power grids; solar powered vehicles; PHEV smart charging algorithm; PV output power prediction; ac utility grid; car-park infrastructure; dc distribution bus; energy price; fuzzy logic power-flow controller design; intelligent workplace parking garage; optimal plug-in electric vehicle charging; photovoltaic panel; power 75 kW; power demand; power requirements; smart power charging controller; Batteries; Forecasting; Fuzzy logic; Load flow; Predictive models; System-on-chip; Vehicles; Charging priority levels; fuzzy logic; hybrid DC distribution system; hybrid dc distribution system; impact limitation; impacts limitation; plug-in hybrid electric vehicles; plug-in hybrid electric vehicles (PHEVs); solar energy;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2296620
Filename :
6697868
Link To Document :
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