Design of a Level-3 electric vehicle charging station using a 1-MW solar system via the distributed maximum power point tracking technique

IF 2.9 4区 环境科学与生态学 Q3 ENERGY & FUELS Clean Energy Pub Date : 2024-01-02 DOI:10.1093/ce/zkad084
Afshin Balal, Michael Giesselmann
{"title":"Design of a Level-3 electric vehicle charging station using a 1-MW solar system via the distributed maximum power point tracking technique","authors":"Afshin Balal, Michael Giesselmann","doi":"10.1093/ce/zkad084","DOIUrl":null,"url":null,"abstract":"\n Solar power is mostly influenced by solar irradiation, weather conditions, solar array mismatches and partial shading conditions. Therefore, before installing solar arrays, it is necessary to simulate and determine the possible power generated. Maximum power point tracking is needed in order to make sure that, at any time, the maximum power will be extracted from the photovoltaic system. However, maximum power point tracking is not a suitable solution for mismatches and partial shading conditions. To overcome the drawbacks of maximum power point tracking due to mismatches and shadows, distributed maximum power point tracking is utilized in this paper. The solar farm can be distributed in different ways, including one DC–DC converter per group of modules or per module. In this paper, distributed maximum power point tracking per module is implemented, which has the highest efficiency. This technology is applied to electric vehicles (EVs) that can be charged with a Level 3 charging station in <1 hour. However, the problem is that charging an EV in <1 hour puts a lot of stress on the power grid, and there is not always enough peak power reserve in the existing power grid to charge EVs at that rate. Therefore, a Level 3 (fast DC) EV charging station using a solar farm by implementing distributed maximum power point tracking is utilized to address this issue. Finally, the simulation result is reported using MATLAB®, LTSPICE and the System Advisor Model. Simulation results show that the proposed 1-MW solar system will provide 5 MWh of power each day, which is enough to fully charge ~120 EVs each day. Additionally, the use of the proposed photovoltaic system benefits the environment by removing a huge amount of greenhouse gases and hazardous pollutants. For example, instead of supplying EVs with power from coal-fired power plants, 1989 pounds of CO2 will be eliminated from the air per hour.","PeriodicalId":36703,"journal":{"name":"Clean Energy","volume":"6 5","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clean Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ce/zkad084","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Solar power is mostly influenced by solar irradiation, weather conditions, solar array mismatches and partial shading conditions. Therefore, before installing solar arrays, it is necessary to simulate and determine the possible power generated. Maximum power point tracking is needed in order to make sure that, at any time, the maximum power will be extracted from the photovoltaic system. However, maximum power point tracking is not a suitable solution for mismatches and partial shading conditions. To overcome the drawbacks of maximum power point tracking due to mismatches and shadows, distributed maximum power point tracking is utilized in this paper. The solar farm can be distributed in different ways, including one DC–DC converter per group of modules or per module. In this paper, distributed maximum power point tracking per module is implemented, which has the highest efficiency. This technology is applied to electric vehicles (EVs) that can be charged with a Level 3 charging station in <1 hour. However, the problem is that charging an EV in <1 hour puts a lot of stress on the power grid, and there is not always enough peak power reserve in the existing power grid to charge EVs at that rate. Therefore, a Level 3 (fast DC) EV charging station using a solar farm by implementing distributed maximum power point tracking is utilized to address this issue. Finally, the simulation result is reported using MATLAB®, LTSPICE and the System Advisor Model. Simulation results show that the proposed 1-MW solar system will provide 5 MWh of power each day, which is enough to fully charge ~120 EVs each day. Additionally, the use of the proposed photovoltaic system benefits the environment by removing a huge amount of greenhouse gases and hazardous pollutants. For example, instead of supplying EVs with power from coal-fired power plants, 1989 pounds of CO2 will be eliminated from the air per hour.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过分布式最大功率点跟踪技术,利用 1 兆瓦太阳能系统设计三级电动汽车充电站
太阳能发电主要受太阳辐照、天气条件、太阳能电池阵错配和部分遮阳条件的影响。因此,在安装太阳能电池阵之前,有必要模拟并确定可能产生的功率。为了确保在任何时候都能从光伏系统中获取最大功率,就需要进行最大功率点跟踪。然而,最大功率点跟踪并不适合不匹配和部分遮阳条件。为了克服最大功率点跟踪因错配和阴影造成的缺点,本文采用了分布式最大功率点跟踪技术。太阳能发电场可以采用不同的分布式方式,包括每组模块或每个模块使用一个 DC-DC 转换器。本文采用的是每个模块分布式最大功率点跟踪技术,其效率最高。该技术适用于电动汽车 (EV),使用三级充电站充电,充电时间小于 1 小时。但问题是,在 <1 小时内为电动汽车充电会对电网造成很大压力,而现有电网的峰值功率储备并不总是足以以这种速度为电动汽车充电。因此,利用太阳能发电站的分布式最大功率点跟踪技术,建立一个三级(快速直流)电动汽车充电站来解决这一问题。最后,使用 MATLAB®、LTSPICE 和系统顾问模型报告了仿真结果。仿真结果表明,拟议的 1 兆瓦太阳能系统每天可提供 5 兆瓦时的电力,足以每天为约 120 辆电动汽车充满电。此外,使用建议的光伏系统还能消除大量温室气体和有害污染物,从而有利于环境。例如,如果不用燃煤发电厂为电动汽车供电,每小时就可减少 1989 磅二氧化碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clean Energy
Clean Energy Environmental Science-Management, Monitoring, Policy and Law
CiteScore
4.00
自引率
13.00%
发文量
55
期刊最新文献
Exploring commercial water electrolyser systems: a data-based analysis of product characteristics A hybrid machine-learning model for solar irradiance forecasting An application of a genetic algorithm in co-optimization of geological CO2 storage based on artificial neural networks Optimal design of hybrid renewable-energy microgrid system: a techno–economic–environment–social–reliability perspective A hybrid solar–biogas system for post-COVID-19 rural energy access
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1