Optimal DG placement for power loss reduction using GWO algorithm

Sohail Ahmad Parah, M. Jamil
{"title":"Optimal DG placement for power loss reduction using GWO algorithm","authors":"Sohail Ahmad Parah, M. Jamil","doi":"10.1109/REEDCON57544.2023.10150910","DOIUrl":null,"url":null,"abstract":"Small electric generating units known as distributed generators (DG) resources are capable of supplying homes, businesses, and industrial sites with electricity through distribution feeders. We can decrease power loss and upgrade the voltage profile by placing DG in the best possible location. However, because they were installed in distribution feeders, the types, sizes, and locations of DGs have a critical effect on their values. Yet, in order for the power system to maximise the gains from such an installation, it is crucial to choose the correct size and location for a DG. In this research, we investigate the ideal positioning and scale of distributed generation (DG) for lowering losses and enhancing voltage profile in distribution networks. The optimal position and size of the DG are determined using the Gray Wolf Optimization (GWO) algorithm. A thorough investigation of IEEE 33-bus distribution systems is conducted. The results show a significant decrease in real power loss, reactive power loss and voltage profile improvement.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"37 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REEDCON57544.2023.10150910","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

Small electric generating units known as distributed generators (DG) resources are capable of supplying homes, businesses, and industrial sites with electricity through distribution feeders. We can decrease power loss and upgrade the voltage profile by placing DG in the best possible location. However, because they were installed in distribution feeders, the types, sizes, and locations of DGs have a critical effect on their values. Yet, in order for the power system to maximise the gains from such an installation, it is crucial to choose the correct size and location for a DG. In this research, we investigate the ideal positioning and scale of distributed generation (DG) for lowering losses and enhancing voltage profile in distribution networks. The optimal position and size of the DG are determined using the Gray Wolf Optimization (GWO) algorithm. A thorough investigation of IEEE 33-bus distribution systems is conducted. The results show a significant decrease in real power loss, reactive power loss and voltage profile improvement.
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
使用GWO算法降低电能损耗的最佳DG布局
被称为分布式发电机(DG)资源的小型发电机组能够通过配电馈线为家庭、企业和工业场所供电。通过将DG放置在最佳位置,我们可以减少功率损耗并升级电压分布。然而,由于它们安装在配电馈线中,因此dg的类型、尺寸和位置对其值有关键影响。然而,为了使电力系统从这样的安装中获得最大的收益,为DG选择正确的尺寸和位置是至关重要的。在本研究中,我们探讨了分布式发电(DG)的理想定位和规模,以降低配电网的损耗和改善电压分布。采用灰狼优化(GWO)算法确定DG的最优位置和大小。对IEEE 33总线配电系统进行了深入的研究。结果表明,实际功率损耗和无功功率损耗显著降低,电压分布得到改善。
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
Advanced ICU Patient Monitoring With Sensor Integration, IV Detection WITH Canny Edge Detection and ECG Monitoring With Live Feed Optimal DG placement for power loss reduction using GWO algorithm Estimating the Stability of Smart Grids Using Optimised Artificial Neural Network Effectiveness of Principal Component Analysis in Functional Mapping of Gene Expression Profiles A Review of the Optimal Allocation of Electric Vehicle Charging Stations
×
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