Optimizing microgrid using demand response and electric vehicles connection to microgrid

Sahand Liasi, S. Bathaee
{"title":"Optimizing microgrid using demand response and electric vehicles connection to microgrid","authors":"Sahand Liasi, S. Bathaee","doi":"10.1109/SGC.2017.8308873","DOIUrl":null,"url":null,"abstract":"The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"99 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Smart Grid Conference (SGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGC.2017.8308873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.
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
利用需求响应和电动汽车接入微电网优化微电网
传统的电力系统运作方式试图在任何时候保持供需平衡,但这会导致高峰时段的高电价,并且需要巨大的电力容量来满足高峰需求,而在其他时段,这些容量仍然是无用的。为了避免这些问题,许多研究人员关注于调峰和需求响应活动,以提高系统的效率和可靠性。本文提出了一种基于博弈论的方法,并对其进行了仿真,以显示在管理通风系统的同时,电动汽车接入微电网(V2G),提供各种需求响应服务和调峰,同时关注发电成本和排放的优化。
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
Detection of anomalies in smart meter data: A density-based approach Intelligent management of immediate operation of micro grid in fault and load change based on adaptive fuzzy PI controller Optimizing microgrid using demand response and electric vehicles connection to microgrid A new control method based on droop and Thevenin theorem to improve responses of VSIs in islanded MG Multi-objective optimal scheduling of a micro-grid consisted of renewable energies using multi-objective Ant Lion Optimizer
×
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