Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV)

M. Galus, G. Andersson
{"title":"Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV)","authors":"M. Galus, G. Andersson","doi":"10.1109/ENERGY.2008.4781014","DOIUrl":null,"url":null,"abstract":"Deployment of PHEV will initiate an integration of transportation and power systems. Intuitively, the PHEVs will constitute an additional demand to the electricity grid, potentially violating converter or line capacities when recharging. Smart management schemes can alleviate possible congestions in power systems, intelligently distributing available energy. As PHEV are inherently independent entities, an agent based approach is expedient. Nonlinear pricing will be adapted to model and manage recharging behavior of large numbers of autonomous PHEV agents connecting in one urban area modelled as an energy hub. The scheme will incorporate price dependability. An aggregation entity, with no private information about its customers, will manage the PHEV agents whose individual parameters will be based on technical constraints and individual objectives. Analysis of the management scheme will give implications for PHEV modelling and integration schemes as well as tentative ideas of possible repercussions on power systems.","PeriodicalId":240093,"journal":{"name":"2008 IEEE Energy 2030 Conference","volume":"52 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"264","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Energy 2030 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGY.2008.4781014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 264

Abstract

Deployment of PHEV will initiate an integration of transportation and power systems. Intuitively, the PHEVs will constitute an additional demand to the electricity grid, potentially violating converter or line capacities when recharging. Smart management schemes can alleviate possible congestions in power systems, intelligently distributing available energy. As PHEV are inherently independent entities, an agent based approach is expedient. Nonlinear pricing will be adapted to model and manage recharging behavior of large numbers of autonomous PHEV agents connecting in one urban area modelled as an energy hub. The scheme will incorporate price dependability. An aggregation entity, with no private information about its customers, will manage the PHEV agents whose individual parameters will be based on technical constraints and individual objectives. Analysis of the management scheme will give implications for PHEV modelling and integration schemes as well as tentative ideas of possible repercussions on power systems.
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
插电式混合动力汽车(PHEV)并网需求管理
插电式混合动力的部署将启动交通和电力系统的整合。直观地说,插电式混合动力车将对电网构成额外的需求,在充电时可能会违反转换器或线路容量。智能管理方案可以缓解电力系统可能出现的拥堵,智能地分配可用能源。由于插电式混合动力汽车本质上是独立的实体,基于代理的方法是权宜之计。非线性定价将适用于模拟和管理大量自动插电式混合动力汽车(PHEV)代理的充电行为,这些代理连接在一个以能源中心为模型的城市区域。该方案将纳入价格可靠性。一个没有客户私人信息的聚合实体将管理PHEV代理商,其个人参数将基于技术限制和个人目标。对管理方案的分析将对插电式混合动力模型和集成方案产生影响,以及对电力系统可能产生的影响的初步设想。
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
A Framework for Evaluation of Energy Policy Proposals Network reliability assessment towards long term planning AC Grid with Embedded VSC-HVDC for Secure and Efficient Power Delivery Control Strategies for Battery/Supercapacitor Hybrid Energy Storage Systems Power Electronics, a Key Technology for Energy Efficiency and Renewables
×
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