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首页> 外文期刊>IEEE transactions on industrial informatics >Joint Expansion Planning Studies of EV Parking Lots Placement and Distribution Network
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Joint Expansion Planning Studies of EV Parking Lots Placement and Distribution Network

机译：EV停车场安置和分销网络联合扩展规划研究

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摘要

Long-term distribution network planning (DNP) is considered as one of the most challenging issues for distribution network operators (DNOs). By increasing EVs in cities, it has appeared some new players such as electric vehicles (EVs) owners and electric vehicle parking lots (EVPLs) owners for DNP. In this article, we conduct a new study on the coupled dynamic expansion problem of EVPLs placement and distribution networks. To reach this goal, at first, EVs driving and charging/discharging behavior as some influential factors is modeled using an efficient probabilistic algorithm. An analytical model is then introduced to estimate the number of EVs in EVPLs at different times. To find out the optimal place for installing EVPLs and distribution network reinforcement, a multiobjective (MO) optimization model is formulated considering the main requirements of EVs users, EVPLs owners, and distribution system operators. A linear model is also derived for the energy monument of EVs in EVPLs and residential charging stations to be used in the mentioned MO expansion problem. Numerical results with various cases are presented to illustrate the main advantages of the proposed coupled expansion model. The simulation results indicate increasing the percentage of participated EVs in V2G leads to reduce the DNO costs and increase the EVPLs' revenues. Moreover, the year of feeder reinforcement will be deferred by considering V2G mode and battery degradation.
机译：长期分配网络规划（DNP）被认为是分销网络运营商（DNOS）最具挑战性问题之一。通过增加城市的EVS，它出现了一些新的玩家，如电动汽车（EVS）所有者和电动车辆停车场（EVPLS）所有者为DNP。在本文中，我们对EVPLS放置和分销网络的耦合动态扩展问题进行了新的研究。为了实现这一目标，首先，使用有效的概率算法建模EVS驾驶和充电/放电行为作为一些影响因素。然后引入分析模型以估计不同时间的EVPLS中的EV。要找出安装EVPLS和配电网络强化的最佳场所，考虑到EVS用户，EVPLS所有者和分配系统运营商的主要要求，配制了多目标（MO）优化模型。对于在提到的MO扩展问题中使用的EVPLS和住宅充电站的EVS的能量纪念碑也导出了线性模型。提出了各种情况的数值结果以说明所提出的耦合膨胀模型的主要优点。仿真结果表明，增加了V2G中参与的EV的百分比，以降低DNO成本并增加EVPLS的收入。此外，通过考虑V2G模式和电池劣化，将推迟进料器加固年。

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