Optimal Resource Allocation and Charging Prices for Benefit Maximization in Smart PEV-Parking Lots

被引:62
|
作者
Awad, Ahmed S. A. [1 ,2 ]
Shaaban, Mostafa F. [3 ]
El-Fouly, Tarek H. M. [4 ]
El-Saadany, Ehab F.
Salama, Magdy M. A. [5 ]
机构
[1] Nat Resources Canada, CanmetENERGY, Varennes, PQ J3X 1S6, Canada
[2] Ain Shams Univ, Elect Power & Machines Dept, Fac Engn, Cairo, Egypt
[3] Amer Univ Sharjah, Elect Engn Dept, Sharjah, U Arab Emirates
[4] Khalifa Univ Sci Technol & Res, Abu Dhabi, U Arab Emirates
[5] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
关键词
distributed generation; plug-in electric vehicle; photo-voltaic; storage; smart PEV-parking lot; OPTIMAL ESS ALLOCATION; STATIONS; VEHICLES; SYSTEMS; COST;
D O I
10.1109/TSTE.2016.2617679
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The emerging interest in deployment of plug-in electric vehicles (PEVs) in distribution networks represents a great challenge to both system planners and owners of PEV-parking lots. The owners of PEV-parking lots might be interested in maximizing their profit via installing charging units to supply the PEV demand. However, with stringent rules of network upgrades, installing these charging units would be very challenging. Network constraints could be relaxed via controlling the net demand through integrating distributed generation (DG) and/or storage units. This paper presents an optimization model for determining the optimal mix of solar-based DG and storage units, as well as the optimal charging prices for PEVs. The main objective is to maximize the benefit of the PEV-parking lot's owner without violating system constraints. Two cases are considered in this paper: uncoordinated and coordinated PEV demand. A novel mathematical model is further developed whereby the behavior of vehicles' drivers, in response to different charging prices, is considered in generating the energy consumption of PEVs.
引用
收藏
页码:906 / 915
页数:10
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