Overview and prospect of information and communication technology development in virtual power plants

Bin Li, JingJu Wang, XueFeng Bai, TianYue Tang, JianLi Zhao, Chuan Liu, ZhanSheng Hou, Izzeddin Banimenia, Rashid Ali
{"title":"Overview and prospect of information and communication technology development in virtual power plants","authors":"Bin Li,&nbsp;JingJu Wang,&nbsp;XueFeng Bai,&nbsp;TianYue Tang,&nbsp;JianLi Zhao,&nbsp;Chuan Liu,&nbsp;ZhanSheng Hou,&nbsp;Izzeddin Banimenia,&nbsp;Rashid Ali","doi":"10.1049/enc2.12072","DOIUrl":null,"url":null,"abstract":"<p>As a new energy-supply service solution to address massive, distributed energy access to the power system, a virtual power plant has higher transmission reliability and real-time communication requirements. To achieve collaborative optimisation, distributed load and energy resources must be aggregated using new information and communication technology. This study analyses underlying communication technologies for virtual power plant interaction from the perspective of standardisation, efficiency, reliability, and security, summarises the application of blockchain, cloud-edge collaboration, machine learning, and other new information and communication technologies in virtual power plant energy trading, interaction, and scheduling, and proposes ideas for addressing shortcomings in interaction. To improve virtual power plant interaction, performance parameter mapping between communication and business technology, and multilevel virtual power plant interaction technology are proposed.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"3 6","pages":"368-380"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12072","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Economics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/enc2.12072","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

As a new energy-supply service solution to address massive, distributed energy access to the power system, a virtual power plant has higher transmission reliability and real-time communication requirements. To achieve collaborative optimisation, distributed load and energy resources must be aggregated using new information and communication technology. This study analyses underlying communication technologies for virtual power plant interaction from the perspective of standardisation, efficiency, reliability, and security, summarises the application of blockchain, cloud-edge collaboration, machine learning, and other new information and communication technologies in virtual power plant energy trading, interaction, and scheduling, and proposes ideas for addressing shortcomings in interaction. To improve virtual power plant interaction, performance parameter mapping between communication and business technology, and multilevel virtual power plant interaction technology are proposed.

Abstract Image

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
虚拟电厂信息通信技术发展综述与展望
虚拟电厂作为解决电力系统大规模分布式能源接入的一种新型供能服务解决方案,对传输可靠性和通信实时性提出了更高的要求。为了实现协同优化,分布式负载和能源资源必须使用新的信息和通信技术进行聚合。本研究从标准化、效率、可靠性和安全性的角度分析了虚拟电厂交互的底层通信技术,总结了区块链、云边缘协作、机器学习等新型信息通信技术在虚拟电厂能源交易、交互和调度中的应用,并提出了解决交互不足的思路。为了提高虚拟电厂的交互性,提出了通信与业务之间的性能参数映射技术和多级虚拟电厂交互技术。
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 novel online reinforcement learning-based linear quadratic regulator for three-level neutral-point clamped DC/AC inverter Artificial intelligence-driven insights: Precision tracking of power plant carbon emissions using satellite data Forecasting masked-load with invisible distributed energy resources based on transfer learning and Bayesian tuning Collaborative deployment of multiple reinforcement methods for network-loss reduction in distribution system with seasonal loads State-of-health estimation of lithium-ion batteries: A comprehensive literature review from cell to pack levels
×
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