高能效电网的需求响应架构与负荷管理算法研究

Yee Wei Law, T. Alpcan, V. Lee, A. Lo, S. Marusic, M. Palaniswami
{"title":"高能效电网的需求响应架构与负荷管理算法研究","authors":"Yee Wei Law, T. Alpcan, V. Lee, A. Lo, S. Marusic, M. Palaniswami","doi":"10.1109/KICSS.2012.45","DOIUrl":null,"url":null,"abstract":"A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids. This paper starts by introducing the key concepts of demand-side management and demand-side load management. Classical demand-side management defines six load shape objectives, of which \"peak clipping\" and \"load shifting\" are most widely applicable and most relevant to energy efficiency. At present, the predominant demand-side management activity is demand response (DR). This paper surveys DR architectures, which are ICT architectures for enabling DR programs as well as load management. This paper also surveys load management solutions for responding to DR programs, in the form of load reduction and load shifting algorithms. A taxonomy for \"group load shifting\" is proposed. Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.","PeriodicalId":309736,"journal":{"name":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"69","resultStr":"{\"title\":\"Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey\",\"authors\":\"Yee Wei Law, T. Alpcan, V. Lee, A. Lo, S. Marusic, M. Palaniswami\",\"doi\":\"10.1109/KICSS.2012.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids. This paper starts by introducing the key concepts of demand-side management and demand-side load management. Classical demand-side management defines six load shape objectives, of which \\\"peak clipping\\\" and \\\"load shifting\\\" are most widely applicable and most relevant to energy efficiency. At present, the predominant demand-side management activity is demand response (DR). This paper surveys DR architectures, which are ICT architectures for enabling DR programs as well as load management. This paper also surveys load management solutions for responding to DR programs, in the form of load reduction and load shifting algorithms. A taxonomy for \\\"group load shifting\\\" is proposed. Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.\",\"PeriodicalId\":309736,\"journal\":{\"name\":\"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"69\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KICSS.2012.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Seventh International Conference on Knowledge, Information and Creativity Support Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KICSS.2012.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 69

摘要

电网有四个部分:发电、输电、配电和需求。到目前为止,公用事业公司一直致力于简化其发电、输电和配电业务,以提高能源效率。虽然负载传统上是电网的被动组成部分,但随着信息通信技术的快速发展,需求侧技术现在在电网的能源效率方面发挥着越来越重要的作用。本文首先介绍了需求侧管理和需求侧负荷管理的关键概念。经典的需求侧管理定义了六个负荷形状目标,其中“削峰”和“负荷转移”是最广泛适用的,与能源效率最相关。目前,主要的需求侧管理活动是需求响应(DR)。本文研究了容灾架构,这是实现容灾程序和负载管理的ICT架构。本文还研究了响应DR程序的负载管理解决方案,以负载减少和负载转移算法的形式。提出了一种“群负荷转移”分类法。研究挑战和机遇被识别并与环境智能、无线传感器网络、非侵入式负载监测、虚拟发电厂等联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey
A power grid has four segments: generation, transmission, distribution and demand. Until now, utilities have been focusing on streamlining their generation, transmission and distribution operations for energy efficiency. While loads have traditionally been a passive part of a grid, with rapid advances in ICT, demand-side technologies now play an increasingly important role in the energy efficiency of power grids. This paper starts by introducing the key concepts of demand-side management and demand-side load management. Classical demand-side management defines six load shape objectives, of which "peak clipping" and "load shifting" are most widely applicable and most relevant to energy efficiency. At present, the predominant demand-side management activity is demand response (DR). This paper surveys DR architectures, which are ICT architectures for enabling DR programs as well as load management. This paper also surveys load management solutions for responding to DR programs, in the form of load reduction and load shifting algorithms. A taxonomy for "group load shifting" is proposed. Research challenges and opportunities are identified and linked to ambient intelligence, wireless sensor networks, nonintrusive load monitoring, virtual power plants, etc.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Framework of an Extended Reading Passage Grading System for Personalised English Learning Knowledge Management and E-governance: A Case Study of E-kiosk in India Knowledge Systems for User Applications and Education Demand Response Architectures and Load Management Algorithms for Energy-Efficient Power Grids: A Survey Towards more Efficient Building Energy Management Systems
×
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