A systematic literature review of optimal placement of fast charging station

Jimmy Trio Putra , M. Isnaeni Bambang Setyonegoro , Taco Niet , Sarjiya
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Abstract

Electric vehicles (EV) have increased in the last few decades due to their ability to reduce greenhouse gas emissions (GHG). Support for the electrification of the transportation sector has encouraged researchers to investigate the optimal placement of fast charging stations (FCS). In this study, we conducted a systematic literature review of 84 primary studies between 2019 and 2024 by identifying objective function and solution techniques, uncertainty, stakeholders, and network classification. We identified the objective functions most commonly used by authors related to technical and cost-solving problems using techniques: conventional (41.7%), metaheuristic (33.3%), hybrid (22.6%), and other (2.4%). Several researchers have also considered various uncertainty parameters from EV, FCS demand, and distributed generation (DG) power output with the most popular probabilistic method to solve problems. Furthermore, the role of stakeholders and network classification is also reviewed in this article. Our study contributes to the field by providing a comprehensive overview of the most significant journals and highlighting future research on the optimal placement of FCS. Future work must focus on improving parameters, models, methods, and using real data from various factors related to FCS demand.
关于快速充电站最佳位置的系统文献综述
电动汽车(EV)因其能够减少温室气体排放(GHG),在过去几十年中得到了越来越多的使用。对交通部门电气化的支持鼓励研究人员调查快速充电站(FCS)的最佳位置。在本研究中,我们通过确定目标函数和求解技术、不确定性、利益相关者和网络分类,对 2019 年至 2024 年间的 84 项主要研究进行了系统的文献综述。我们确定了与技术和成本问题相关的作者最常用的目标函数,使用的技术包括:传统(41.7%)、元启发式(33.3%)、混合(22.6%)和其他(2.4%)。一些研究人员还考虑了来自电动汽车、固定控制系统需求和分布式发电(DG)功率输出的各种不确定性参数,并采用最流行的概率方法来解决问题。此外,本文还回顾了利益相关者和网络分类的作用。我们的研究为该领域做出了贡献,对最重要的期刊进行了全面综述,并重点介绍了未来对 FCS 优化布置的研究。未来的工作必须侧重于改进参数、模型和方法,并使用与金融服务需求相关的各种因素的真实数据。
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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