Coordinated Management of Mobile Charging Stations and Community Energy Storage for Electric Vehicle Charging

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS
Akın Taşcıkaraoğlu , Muhammed Ali Beyazıt , Jan Kleissl , Yuanyuan Shi
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Abstract

Widespread adoption of electric vehicles (EVs) largely relies on the availability of a charging infrastructure. However, the significant installation costs, need for appropriate locations, congestion and lengthy queues at public fixed charging station (FCS), and the potential strain on the grid hinder the expansion of the charging station network, particularly in urban areas. To address these shortcomings associated with FCSs, mobile charging stations (MCSs) can be used as a supplementary solution. To this end, an optimization framework that incorporates FCSs and MCSs is proposed to meet the spatiotemporally distributed EV charging demands. A community energy storage system (CESS) is integrated into the system to enhance the flexibility and increase the use of renewable energy in EV charging. When the EV charging requests are received, the proposed framework determines the optimal charging technology and location for each charging demand by taking charging site and time preferences of EV users into account. The simulation studies and comparative analyses demonstrate that the proposed framework enhances benefits for both the operators and EV users, achieving a 90 % reduction in carbon emissions and reducing waiting times at FCSs to zero. Further analyses confirm its effectiveness across various conditions, leading to substantial reductions in emissions and costs, particularly in larger systems. Compared to an MCS scheduling method based on EV clustering, the proposed framework achieves lower emissions while slightly increasing battery degradation.
电动汽车充电移动充电站与社区储能协同管理
电动汽车的广泛采用在很大程度上取决于充电基础设施的可用性。然而,巨大的安装成本,对合适位置的需求,公共固定充电站(FCS)的拥堵和长时间排队,以及电网的潜在压力阻碍了充电站网络的扩展,特别是在城市地区。为了解决与FCSs相关的这些缺点,可以使用移动充电站(MCSs)作为补充解决方案。为此,提出了一个融合fcs和MCSs的优化框架,以满足电动汽车充电需求的时空分布。该系统集成了社区储能系统(CESS),以提高电动汽车充电的灵活性,并增加可再生能源的使用。当接收到电动汽车充电请求时,该框架通过考虑电动汽车用户的充电地点和充电时间偏好,确定每个充电需求的最佳充电技术和地点。仿真研究和对比分析表明,所提出的框架提高了运营商和电动汽车用户的效益,实现了90%的碳排放减少,并将fcs的等待时间减少到零。进一步的分析证实了它在各种条件下的有效性,从而大大减少了排放和成本,特别是在大型系统中。与基于电动汽车聚类的MCS调度方法相比,该框架实现了更低的排放,同时略微增加了电池退化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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