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Optimal resource allocation and charging prices for benefit maximization in smart PEV-parking lots

机译:优化资源分配和收费价格,以最大化智能电动车停车场的利益

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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.
机译:对在配电网络中部署插电式电动汽车(PEV)的兴趣日益浓厚,这对系统规划人员和PEV停车场所有人都构成了巨大的挑战。 PEV停车场的拥有者可能有兴趣通过安装充电装置来满足PEV需求来最大程度地提高利润。但是,在严格的网络升级规则下,安装这些充电单元将非常困难。可以通过集成分布式发电(DG)和/或存储单元来控制净需求,从而放松网络约束。本文提出了一种优化模型,用于确定太阳能DG和存储单元的最佳组合,以及PEV的最佳充电价格。主要目标是在不违反系统限制的情况下,最大化私家车停车场所有者的利益。本文考虑了两种情况:PEV需求不协调和协调。进一步开发了一种新颖的数学模型,其中在产生PEV的能耗时考虑了车辆驾驶员响应不同的充电价格的行为。

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