Design of a Microgrid for Residential Application Using HOMER Software

M. Bilal, Imdadullah, S. Hameed
{"title":"Design of a Microgrid for Residential Application Using HOMER Software","authors":"M. Bilal, Imdadullah, S. Hameed","doi":"10.1109/APSIT58554.2023.10201723","DOIUrl":null,"url":null,"abstract":"The conventional grid has significant transmission losses. Power generation using conventional sources causes environmental degradation. Renewable energy-based distributed generators form microgrids (MGs). The MGs are environmentally friendly, cost-effective, reliable, and secure solutions for community loads. A residential load of Aligarh Muslim University (AMU) is considered in this study. The resource availability is taken using NASA surface metrology based on the location. An MG is designed using HOMER, taking solar, wind, battery, and converter components. The optimization results for MG architecture are obtained from simulation, taking NPC and COE as a constraint. Moreover, the optimized cost is calculated for the best proposed MG architecture. There is an annual net sale of 2,851,796 kWh of energy. The share of renewable energy for the most efficient planned microgrid is 84.6%. The energy used throughout a year is shown in the time series plot.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT58554.2023.10201723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The conventional grid has significant transmission losses. Power generation using conventional sources causes environmental degradation. Renewable energy-based distributed generators form microgrids (MGs). The MGs are environmentally friendly, cost-effective, reliable, and secure solutions for community loads. A residential load of Aligarh Muslim University (AMU) is considered in this study. The resource availability is taken using NASA surface metrology based on the location. An MG is designed using HOMER, taking solar, wind, battery, and converter components. The optimization results for MG architecture are obtained from simulation, taking NPC and COE as a constraint. Moreover, the optimized cost is calculated for the best proposed MG architecture. There is an annual net sale of 2,851,796 kWh of energy. The share of renewable energy for the most efficient planned microgrid is 84.6%. The energy used throughout a year is shown in the time series plot.
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
基于HOMER软件的住宅微电网设计
传统电网具有显著的传输损耗。使用传统能源发电会导致环境恶化。基于可再生能源的分布式发电机形成微电网。mgg是一种环保、经济、可靠和安全的社区负载解决方案。本研究考虑了阿里格尔穆斯林大学(AMU)的住宅负荷。可利用的资源是利用NASA基于地点的地表测量法获得的。MG采用HOMER设计,采用太阳能、风能、电池和转换器组件。以NPC和COE为约束,通过仿真得到了MG体系结构的优化结果。此外,还计算了所提出的最佳MG架构的优化成本。每年净销售额为2,851,796千瓦时。规划中最高效的微电网中可再生能源的比例为84.6%。在时间序列图中显示了全年使用的能源。
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
自引率
0.00%
发文量
0
期刊最新文献
DGA Based Ensemble Learning Approach for Power Transformer Fault Diagnosis Review of Routing Protocols for Sink with mobility nature in Wireless Sensor Networks Comparative Analysis of Dual-edge Triggered and Sense Amplifier Based Flip-flops in 32 nm CMOS Regime Text Classification of Climate Change Tweets using Artificial Neural Networks, FastText Word Embeddings, and Latent Dirichlet Allocation An Integration of Elephant Herding Optimization and Fruit Fly Optimized Algorithm for Energy Conserving in MANET
×
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