Building-level Demand-side Energy Management Based on Game Theory

Yang Zhang, Yunfei Ma, Shuang Zhang, Lixian Chen, Hongda Liu
{"title":"Building-level Demand-side Energy Management Based on Game Theory","authors":"Yang Zhang, Yunfei Ma, Shuang Zhang, Lixian Chen, Hongda Liu","doi":"10.1109/ICMA54519.2022.9856118","DOIUrl":null,"url":null,"abstract":"In this paper, an improved building-level demand-side management method is proposed based on load classification and real-time electricity pricing. Firstly, the loads are classified into uncontrollable loads, interruptible loads and transferable loads. The uncontrollable loads are forecasted as a part of the system state. The interruptible loads are controlled all the time. The transferable loads can be managed to work in proper periods in a day. Then, the user’s electricity consumption is managed by the energy consumption controller, which solves a game problem between the user and the others. At last, we generate users’ electricity consumption conditions using the Monte Carlo method and simulate the proposed managed system. Proved by experiments, the proposed method effectively reduces both the system cost and the users’ payment, and improves the temporal distribution of the system load.","PeriodicalId":120073,"journal":{"name":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA54519.2022.9856118","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

In this paper, an improved building-level demand-side management method is proposed based on load classification and real-time electricity pricing. Firstly, the loads are classified into uncontrollable loads, interruptible loads and transferable loads. The uncontrollable loads are forecasted as a part of the system state. The interruptible loads are controlled all the time. The transferable loads can be managed to work in proper periods in a day. Then, the user’s electricity consumption is managed by the energy consumption controller, which solves a game problem between the user and the others. At last, we generate users’ electricity consumption conditions using the Monte Carlo method and simulate the proposed managed system. Proved by experiments, the proposed method effectively reduces both the system cost and the users’ payment, and improves the temporal distribution of the system load.
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
基于博弈论的建筑需求侧能源管理
本文提出了一种改进的基于负荷分类和实时电价的建筑级需求侧管理方法。首先将负荷分为不可控负荷、可中断负荷和可转移负荷。将不可控负荷作为系统状态的一部分进行预测。可中断负载一直处于控制状态。可转移负载可以在一天中的适当时段进行管理。然后,通过能耗控制器对用户的用电量进行管理,解决了用户与他人之间的博弈问题。最后,利用蒙特卡罗方法生成用户用电情况,并对所提出的管理系统进行仿真。实验证明,该方法有效地降低了系统成本和用户付费,改善了系统负载的时间分布。
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 Fuzzy Indrect Adaptive Robust Control for Upper Extremity Exoskeleton Driven by Pneumatic Artificial Muscle Visual Localization Strategy for Indoor Mobile Robots in the Complex Environment Smart Prosthetic Knee for Above-Knee Amputees Research on the recovery system of the fixed wing swarm based on the robotic vision in the marine environment Lightning Arrester Target Segmentation Algorithm Based on Improved DeepLabv3+ and GrabCut
×
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