Grid-Sim: Simulating Electric Fleet Charging with Renewable Generation and Battery Storage

IF 2.6 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Johannes Human Giliomee, Marthinus Johannes Booysen
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Abstract

The inevitable electrification of the sub-Saharan African paratransit system poses substantial threats to an already crippled electricity supply network. The integration of any electric vehicle fleet in this region will require in-depth analyses and understanding of the grid impact due to charging. This allows informative decisions for sufficient planning to be made for the required network infrastructure or the implementation of applicable ‘load-shifting’ techniques. This paper presents Grid-Sim, a software tool that enables comprehensive analysis of the grid impact implications of electrifying vehicle fleets. Grid-Sim is applied to assess the load profiles, energy demand, load-shifting techniques, and associated emissions for two charging stations serving an electrified minibus taxi fleet of 202 vehicles in Johannesburg, South Africa. It is found that the current operation patterns result in a peak grid power draw of 12 kW/taxi, grid-drawn energy of 87.4 kWh/taxi/day, and, subsequently, 93 kg CO2/taxi/day of emissions. However, when using the built-in option of including external batteries and a solar charging station, the average peak power draw reduces by 66%, and both grid-drawn energy and emissions reduce by 58%.
电网模拟:模拟可再生能源发电和电池存储的电动车队充电
撒哈拉以南非洲的辅助交通系统不可避免的电气化对已经瘫痪的电力供应网络构成了重大威胁。该地区的任何电动汽车车队的整合都需要深入分析和了解充电对电网的影响。这允许为所需的网络基础设施或适用的“负载转移”技术的实施做出充分规划的信息决策。本文介绍了grid - sim,这是一个软件工具,可以全面分析电动汽车车队对电网的影响。Grid-Sim应用于评估南非约翰内斯堡的两个充电站的负荷概况、能源需求、负荷转移技术和相关排放,这些充电站为202辆电动小巴出租车车队提供服务。研究发现,目前的运行模式导致电网峰值耗电量为12千瓦/出租车,电网耗电量为87.4千瓦时/出租车/天,随后,二氧化碳排放量为93千克/出租车/天。然而,当使用内置选项(包括外部电池和太阳能充电站)时,平均峰值耗电量减少66%,并网能源和排放减少58%。
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
World Electric Vehicle Journal
World Electric Vehicle Journal Engineering-Automotive Engineering
CiteScore
4.50
自引率
8.70%
发文量
196
审稿时长
8 weeks
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