A review of multi agent based decentralised energy management issues

F. Brazier, H. la Poutré, A. Abhyankar, K. Saxena, S. Singh, K. Tomar
{"title":"A review of multi agent based decentralised energy management issues","authors":"F. Brazier, H. la Poutré, A. Abhyankar, K. Saxena, S. Singh, K. Tomar","doi":"10.1109/ENERGYECONOMICS.2015.7235106","DOIUrl":null,"url":null,"abstract":"This paper proposes the concept of Distributed Energy Resource (DER) management, based on dynamic clustering of energy resources for better coordination of supply and demand. A review on load profiling and forecasting mechanisms is provided which to be utilised in building knowledge, needed for local and global coordination. To avoid large scale complexities, a decentralised control approach with Multi Agent System (MAS) is deployed. A review on MAS technologies and their application in power system is presented. With MAS we provide a framework for designing producer, consumer and cluster agents. These agents further negotiate Service Level Agreements for managing supply and demand and optimally utilizing the energy resources.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"5 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Economics and Environment (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

This paper proposes the concept of Distributed Energy Resource (DER) management, based on dynamic clustering of energy resources for better coordination of supply and demand. A review on load profiling and forecasting mechanisms is provided which to be utilised in building knowledge, needed for local and global coordination. To avoid large scale complexities, a decentralised control approach with Multi Agent System (MAS) is deployed. A review on MAS technologies and their application in power system is presented. With MAS we provide a framework for designing producer, consumer and cluster agents. These agents further negotiate Service Level Agreements for managing supply and demand and optimally utilizing the energy resources.
基于多智能体的分散能源管理问题综述
本文提出了分布式能源管理的概念,在能源资源动态聚类的基础上更好地协调供需关系。对负荷分析和预测机制进行了审查,以建立当地和全球协调所需的知识。为了避免大规模的复杂性,采用了多智能体系统(MAS)的分散控制方法。综述了MAS技术及其在电力系统中的应用。通过MAS,我们提供了一个设计生产者、消费者和集群代理的框架。这些代理进一步协商服务水平协议,以管理供需和优化利用能源资源。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信