Renewable Integrated Multi-Area Smart Optimization Framework for Distribution Network Operators

N. Padhy, Subho Paul
{"title":"Renewable Integrated Multi-Area Smart Optimization Framework for Distribution Network Operators","authors":"N. Padhy, Subho Paul","doi":"10.1109/ICPS52420.2021.9670070","DOIUrl":null,"url":null,"abstract":"Increasing population growth results expansion of distribution grids by connecting multiple areas under a main distribution substation, owned by a single distribution network operator (DNO). Optimal operation of this multi-area grid is quite challenging as demand profile and load criticality level of a pure residential area is significantly different from that of an area containing both residential and commercial consumers. The solution process becomes further challenging because of penetration of distributed renewable energy resources and battery storages. Comparatively lesser computational burden makes conventional centralized optimization techniques attractive for energy management, however their lengthy solution time and biasness towards critical customers are the main impediments to its real world implementation. Aiming to suggest a secure, reliable, unbiased, customer friendly, economic and fast energy management framework to DNO for serving multiple renewable penetrated areas, this article presents a Stackelberg Game based distributed optimization strategy. A detailed case study simulation has been demonstrated on a 132 bus distribution grid, having one substation with four underneath areas, to showcase a comprehensive study between centralized and proposed distributed optimization approaches for providing smart solutions to the DNOs.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th IEEE International Conference on Power Systems (ICPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS52420.2021.9670070","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

Increasing population growth results expansion of distribution grids by connecting multiple areas under a main distribution substation, owned by a single distribution network operator (DNO). Optimal operation of this multi-area grid is quite challenging as demand profile and load criticality level of a pure residential area is significantly different from that of an area containing both residential and commercial consumers. The solution process becomes further challenging because of penetration of distributed renewable energy resources and battery storages. Comparatively lesser computational burden makes conventional centralized optimization techniques attractive for energy management, however their lengthy solution time and biasness towards critical customers are the main impediments to its real world implementation. Aiming to suggest a secure, reliable, unbiased, customer friendly, economic and fast energy management framework to DNO for serving multiple renewable penetrated areas, this article presents a Stackelberg Game based distributed optimization strategy. A detailed case study simulation has been demonstrated on a 132 bus distribution grid, having one substation with four underneath areas, to showcase a comprehensive study between centralized and proposed distributed optimization approaches for providing smart solutions to the DNOs.
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
配电网运营商可再生集成多区域智能优化框架
人口的增长导致配电网的扩展,将多个地区连接在一个主配电变电站下,由一个单一的配电网运营商(DNO)拥有。由于纯住宅区的需求概况和负荷临界水平与包含住宅和商业用户的地区的需求概况和负荷临界水平存在显著差异,因此多区域电网的优化运行具有相当大的挑战性。由于分布式可再生能源和电池存储的渗透,解决方案的过程变得更加具有挑战性。相对较小的计算负担使得传统的集中式优化技术对能源管理具有吸引力,但是它们的解决时间长和对关键客户的偏见是其在现实世界实现的主要障碍。本文提出了一种基于Stackelberg博弈的分布式优化策略,旨在为多个可再生能源渗透区域提供安全、可靠、公正、用户友好、经济、快速的DNO能源管理框架。详细的案例研究模拟在一个132总线配电网上进行了演示,该配电网有一个变电站和四个地下区域,以展示集中式和分布式优化方法之间的综合研究,为dno提供智能解决方案。
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
Electric Vehicle Charging Policies in Indian states: Key Learnings from International Experiences Improving Frequency Regulation of Power System Using Primary and Secondary Reserves in Grid Integrated Wind Farms A Coordinated Strategy for Optimal Operation of Unbalanced EDN via BESS, VVO and DSM Application of Z-Source Circuit Breaker in a Solar PV based DC Microgrid with Battery Storage An Extensive Review On Microgrid Protection Issues, Techniques And Solutions
×
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