The proposed study encounters the growing demand for environmentally friendly transportation options by framing a thorough charging infrastructure that uses grid connectivity, renewable energy sources (RES), battery systems, and hydrogen tank storage. Emphasizing the importance of considering the fluctuations in vehicle arrivals, a proposal is made for evaluating the viability of a charging station that combines off-grid and on-grid renewable energy sources. This station is designed to cater to both electric and hydrogen-fuelled vehicles. The evaluation includes uncertainty modeling for car arrivals, taking into account variables like randomly dispersed, uniformly distributed, and regularly distributed arrivals. The charging station load conditions are tested in Thiagarajar College of Engineering(TCE) E-Vehicle Laboratory, which is located in Madurai City, in southern India with the latitude of 9.8821o N and 78.0816o E. A novel comparative study of some multi-criteria decision analyses (MCDA) is performed on different configurations of electric vehicle (EV) charging stations and hydrogen fuel cell vehicle (HFCV) charging stations. The Photovoltaic (PV)-Wind-Hydrogen-Grid charging station dominates other charging station designs since it can accommodate all vehicles, regardless of how they arrive at the station. When combined with an appropriate energy management system, CODAS and COPRAS offer the finest ranking system for a reliable vehicle arrival pattern. The proposed study is being conducted to identify the factors that inhibit the promotion of clean energy technology in India, as well as to develop strategies for achieving Sustainable Development Goal 7.

中文翻译：

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为环保交通设计全面的充电基础设施：评估可行性和不确定性建模的建议


拟议的研究通过使用电网连接、可再生能源 （RES）、电池系统和氢罐存储构建全面的充电基础设施，满足了对环保交通选择日益增长的需求。为了强调考虑车辆到达量波动的重要性，提出了一项提案，用于评估结合离网和并网可再生能源的充电站的可行性。该加氢站旨在满足电动和氢燃料汽车的需求。评估包括汽车到达的不确定性建模，同时考虑随机分散、均匀分布和规则分布的到达等变量。充电站负载条件在位于印度南部马杜赖市的 Thiagarajar 工程学院 （TCE） 电动汽车实验室进行测试，该实验室的纬度为 9.8821o N 和 78.0816o E。对电动汽车 （EV） 充电站和氢燃料电池汽车 （HFCV） 充电站的不同配置进行了一些多标准决策分析 （MCDA） 的新比较研究。光伏 （PV）-风能-氢能-电网充电站在其他充电站设计中占据主导地位，因为它可以容纳所有车辆，无论它们如何到达充电站。当与适当的能源管理系统相结合时，CODAS 和 COPRAS 为可靠的车辆到达模式提供了最好的排名系统。正在进行的拟议研究旨在确定阻碍印度推广清洁能源技术的因素，并制定实现可持续发展目标 7 的战略。