Optimal Sizing and Techno-economic Analysis of an Off-grid Solar Photovoltaic System for Rural Electrification

O. Atilola, M. Akorede, G. Olarinoye, A. S. Oladeji
{"title":"Optimal Sizing and Techno-economic Analysis of an Off-grid Solar Photovoltaic System for Rural Electrification","authors":"O. Atilola, M. Akorede, G. Olarinoye, A. S. Oladeji","doi":"10.1109/PowerAfrica53997.2022.9905304","DOIUrl":null,"url":null,"abstract":"The economics of generating electricity is becoming a great challenge to the developing countries, thereby making electricity difficult to be assessed in rural areas that are completely off-grid. For this reason, there is a need to extend electricity to these rural areas by exploring the available renewable energy source in Nigeria. This work was carried out using a remote community in Nigeria as a case study. The electrical load survey of the community was carried out to determine the load demand of the area. The value of S4.6 kWh was obtained as the daily load demand considering the future expansion that will be included in the nearest future, hence the load curve was determined. This work also considered the modelling and optimization of the system components prior to the economic analysis of the project. The BAT algorithm was used as an optimization tool to determine the number of PV modules, battery banks and the capacity of the inverter to be used. At different scenarios, the number of the components varied with the days of autonomy of the energy storage system and PV power rating. The Levelised Cost of Energy (LCOE) was determined to be 0.5034 ${\\$}$/kWh. Finally, the results were validated against the HOMER software.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE PES/IAS PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PowerAfrica53997.2022.9905304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The economics of generating electricity is becoming a great challenge to the developing countries, thereby making electricity difficult to be assessed in rural areas that are completely off-grid. For this reason, there is a need to extend electricity to these rural areas by exploring the available renewable energy source in Nigeria. This work was carried out using a remote community in Nigeria as a case study. The electrical load survey of the community was carried out to determine the load demand of the area. The value of S4.6 kWh was obtained as the daily load demand considering the future expansion that will be included in the nearest future, hence the load curve was determined. This work also considered the modelling and optimization of the system components prior to the economic analysis of the project. The BAT algorithm was used as an optimization tool to determine the number of PV modules, battery banks and the capacity of the inverter to be used. At different scenarios, the number of the components varied with the days of autonomy of the energy storage system and PV power rating. The Levelised Cost of Energy (LCOE) was determined to be 0.5034 ${\$}$/kWh. Finally, the results were validated against the HOMER software.
农村电气化离网太阳能光伏系统最优规模及技术经济分析
发电的经济效益正成为发展中国家面临的一个巨大挑战,因此很难对完全脱离电网的农村地区的电力进行评估。因此,有必要通过探索尼日利亚现有的可再生能源,将电力扩展到这些农村地区。这项工作以尼日利亚的一个偏远社区为案例进行研究。对该社区进行了电力负荷调查,以确定该地区的负荷需求。将S4.6 kWh作为考虑近期扩容的日负荷需求,确定负荷曲线。在对项目进行经济分析之前,这项工作还考虑了系统组件的建模和优化。采用BAT算法作为优化工具,确定光伏组件数量、电池组数量和逆变器容量。在不同场景下,组件数量随储能系统自治天数和光伏额定功率的不同而不同。平准化能源成本(LCOE)确定为0.5034 ${\$}$/kWh。最后,用HOMER软件对结果进行了验证。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书