通过云计算实现智能电网中的需求侧管理计划

IF 4.2 Q2 ENERGY & FUELS Renewable Energy Focus Pub Date : 2024-10-01 DOI:10.1016/j.ref.2024.100639
{"title":"通过云计算实现智能电网中的需求侧管理计划","authors":"","doi":"10.1016/j.ref.2024.100639","DOIUrl":null,"url":null,"abstract":"<div><div>The development of power systems requires smart grids to facilitate real-time control and monitoring using bilateral communications across the power grid. With the implementation of a distributed structure, smart grids will be highly reliable, efficient, and secure, as well as affordable in terms of power management. With the expansion of the power grid at the level of distribution and the smarter equipment used by the shareholders, it is necessary to consider measures to balance production and consumption and to optimize the consumer pattern. One of these approaches is the use of demand-side management programs, in which the system operator seeks to optimize the coordination between production units, storage units, and consumption loads in a way that achieves maximum social welfare. This article attempts to present models for planning a demand-side management program that is presented in the presence of new cloud computing technologies. The model proposed is based on the use of storage units and will be able, in addition to covering uncertainty in renewable production, to customize energy reserves and computational capacity in a way that brings the lowest operating costs.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demand side management programs in smart grid through cloud computing\",\"authors\":\"\",\"doi\":\"10.1016/j.ref.2024.100639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The development of power systems requires smart grids to facilitate real-time control and monitoring using bilateral communications across the power grid. With the implementation of a distributed structure, smart grids will be highly reliable, efficient, and secure, as well as affordable in terms of power management. With the expansion of the power grid at the level of distribution and the smarter equipment used by the shareholders, it is necessary to consider measures to balance production and consumption and to optimize the consumer pattern. One of these approaches is the use of demand-side management programs, in which the system operator seeks to optimize the coordination between production units, storage units, and consumption loads in a way that achieves maximum social welfare. This article attempts to present models for planning a demand-side management program that is presented in the presence of new cloud computing technologies. The model proposed is based on the use of storage units and will be able, in addition to covering uncertainty in renewable production, to customize energy reserves and computational capacity in a way that brings the lowest operating costs.</div></div>\",\"PeriodicalId\":29780,\"journal\":{\"name\":\"Renewable Energy Focus\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renewable Energy Focus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1755008424001030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy Focus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755008424001030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

电力系统的发展要求智能电网利用整个电网的双边通信促进实时控制和监测。随着分布式结构的实施,智能电网将具有高可靠性、高效性和安全性,而且在电力管理方面也是经济实惠的。随着电网在配电层面的扩展和股东使用的设备的智能化,有必要考虑采取一些措施来平衡生产和消费,优化消费模式。其中一种方法是使用需求侧管理计划,在该计划中,系统运营商寻求以实现最大社会福利的方式优化生产单位、存储单位和消费负荷之间的协调。本文试图提出在新的云计算技术下规划需求方管理计划的模型。所提出的模型以存储单元的使用为基础,除了涵盖可再生能源生产的不确定性外,还能以带来最低运营成本的方式定制能源储备和计算能力。
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 side management programs in smart grid through cloud computing
The development of power systems requires smart grids to facilitate real-time control and monitoring using bilateral communications across the power grid. With the implementation of a distributed structure, smart grids will be highly reliable, efficient, and secure, as well as affordable in terms of power management. With the expansion of the power grid at the level of distribution and the smarter equipment used by the shareholders, it is necessary to consider measures to balance production and consumption and to optimize the consumer pattern. One of these approaches is the use of demand-side management programs, in which the system operator seeks to optimize the coordination between production units, storage units, and consumption loads in a way that achieves maximum social welfare. This article attempts to present models for planning a demand-side management program that is presented in the presence of new cloud computing technologies. The model proposed is based on the use of storage units and will be able, in addition to covering uncertainty in renewable production, to customize energy reserves and computational capacity in a way that brings the lowest operating costs.
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
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
期刊最新文献
Peer-to-peer energy trading framework for an autonomous DC microgrid using game theoretic approach Hydrogen energy storage technology selection through a cutting-edge probabilistic linguistic decision framework Malaysia’s energy transition and readiness towards attaining net zero: review of the potential, constraints, and enablers Life cycle greenhouse gas emissions assessment: converting an early retirement coal-fired power plant to a biomass power plant A methodology for preliminary benefit evaluation of Distributed Generation to drive private investments
×
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