Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management

Morteza Vahid-Ghavidel, B. Mohammadi-ivatloo, M. Shafie‐khah, G. Osório, N. Mahmoudi, J. Catalão
{"title":"Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management","authors":"Morteza Vahid-Ghavidel, B. Mohammadi-ivatloo, M. Shafie‐khah, G. Osório, N. Mahmoudi, J. Catalão","doi":"10.1109/EEEIC.2018.8493699","DOIUrl":null,"url":null,"abstract":"In this work a new trading framework for demand response (DR) aggregators is proposed using a non-probabilistic model. In this model, DR is acquired from consumers to sell it to the purchasers by aggregators. Two programs, i.e., time-of-use (TOU) and reward-based DR program, are implemented to obtain DR from consumers. Then, the obtained DR is sold to buyers via two considered agreements, i.e., fixed DR contracts and DR options. The information-gap decision theory is also employed to consider the uncertainties for risk-averse aggregators. Consumer's participation behavior is considered as an uncertain parameter. A robustness function is proposed to examine the immunity of the model against adverse variations of uncertain parameters. The feasibility of the proposed model is studied on the real-world data.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"147 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2018.8493699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

In this work a new trading framework for demand response (DR) aggregators is proposed using a non-probabilistic model. In this model, DR is acquired from consumers to sell it to the purchasers by aggregators. Two programs, i.e., time-of-use (TOU) and reward-based DR program, are implemented to obtain DR from consumers. Then, the obtained DR is sold to buyers via two considered agreements, i.e., fixed DR contracts and DR options. The information-gap decision theory is also employed to consider the uncertainties for risk-averse aggregators. Consumer's participation behavior is considered as an uncertain parameter. A robustness function is proposed to examine the immunity of the model against adverse variations of uncertain parameters. The feasibility of the proposed model is studied on the real-world data.
利用信息缺口决策理论解决不确定性和风险管理的需求响应聚合商交易框架
本文提出了一种基于非概率模型的需求响应聚合器交易框架。在这个模型中,DR是由聚合者从消费者那里获取DR,然后卖给购买者。通过分时电价(time-of-use, TOU)和奖励电价(reward-based DR)两种方案从消费者那里获得DR。然后,通过两种考虑过的协议,即固定DR合同和DR期权,将获得的DR出售给买方。信息缺口决策理论也被用于考虑风险规避聚合器的不确定性。消费者的参与行为被认为是一个不确定参数。提出了一个鲁棒性函数来检验模型对不确定参数不利变化的免疫力。在实际数据上研究了该模型的可行性。
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