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Placement of EV charging stations integrated with PV generation and battery storage

机译：结合光伏发电和电池存储的电动汽车充电站的放置

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摘要

This paper introduces an optimal way to configure a grid-connected charging station for electric vehicles (EVs), in which the photovoltaic (PV) generation and local battery storage are integrated. The proposed method aims at generating the optimum combination of EV chargers, PV panels and local batteries, while considering: 1) EV mobility and uncertainties (PV generation, electricity price, etc.); 2) the impact on the grid; and 3) stochastic charging demand from EVs. The Erlang-loss system and the stochastic programming are adopted to model the EV mobility and uncertainties. Besides, the attribute sets as well as the clustering-based scenario generation method are proposed to generate necessary scenarios for stochastic programming. Finally, numerical experiments are conducted to validate the effectiveness of the proposed approach and show the impact of different factors on the final placement scheme.
机译：本文介绍了一种配置电动汽车（EV）的并网充电站的最佳方法，其中将光伏（PV）发电和本地电池存储集成在一起。提出的方法旨在生成电动汽车充电器，光伏电池板和本地电池的最佳组合，同时考虑：1）电动汽车的机动性和不确定性（光伏发电，电价等）; 2）对电网的影响; 3）电动汽车的随机充电需求。采用Erlang-loss系统和随机规划方法对EV的机动性和不确定性进行建模。此外，提出了属性集以及基于聚类的场景生成方法，以生成用于随机规划的必要场景。最后，进行了数值实验以验证所提出方法的有效性，并显示了不同因素对最终放置方案的影响。

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