Study on the stability of power market regulation under the multi-user coupling demand response

Yufang Liu, Ping Huang, Zeyang Liu, L. Yang, Di Huang
{"title":"Study on the stability of power market regulation under the multi-user coupling demand response","authors":"Yufang Liu, Ping Huang, Zeyang Liu, L. Yang, Di Huang","doi":"10.1117/12.2680213","DOIUrl":null,"url":null,"abstract":"In order to guide the demand-side electricity consumption behaviour of users, after investigating the whole social electricity consumption load of a county in southern China, according to the demand response, time-of-use electricity price and the reality of China's electricity market, this paper adopts the fast non-dominated sorting genetic algorithm with elite strategy to conduct a more in-depth optimization study on the demand-side management measures of three different users, and the conclusions are as follows: Combined with the practical problems in the electricity market transaction, a mathematical model with the minimum peak-valley difference of the load curve and the maximum power consumption comfort as the objective function is built, and the bundle of variables is established. The optimization results show that the multi-objective optimization on the demand side is slightly insufficient in smoothing the load curve, but considering the comfort of users' electricity consumption, the multi-objective optimization will improve its comprehensive performance and have stronger practicability, which can play a guiding role in the demand response behaviour of users and power trading in the power market, and provide a theoretical basis for actual trading.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"663 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Advances in Electrical, Electronics and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2680213","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 order to guide the demand-side electricity consumption behaviour of users, after investigating the whole social electricity consumption load of a county in southern China, according to the demand response, time-of-use electricity price and the reality of China's electricity market, this paper adopts the fast non-dominated sorting genetic algorithm with elite strategy to conduct a more in-depth optimization study on the demand-side management measures of three different users, and the conclusions are as follows: Combined with the practical problems in the electricity market transaction, a mathematical model with the minimum peak-valley difference of the load curve and the maximum power consumption comfort as the objective function is built, and the bundle of variables is established. The optimization results show that the multi-objective optimization on the demand side is slightly insufficient in smoothing the load curve, but considering the comfort of users' electricity consumption, the multi-objective optimization will improve its comprehensive performance and have stronger practicability, which can play a guiding role in the demand response behaviour of users and power trading in the power market, and provide a theoretical basis for actual trading.
多用户耦合需求响应下电力市场调控稳定性研究
为了引导用户的需求侧用电行为,本文在调研了中国南方某县的全社会用电负荷后,根据需求响应、分时电价以及中国电力市场的实际情况,采用精英策略的快速非主导排序遗传算法,对三种不同用户的需求侧管理措施进行了更深入的优化研究。结论如下:结合电力市场交易中的实际问题,建立了以负荷曲线峰谷差最小、用电舒适度最大为目标函数的数学模型,并建立了变量束。优化结果表明,需求侧的多目标优化在平滑负荷曲线方面略显不足,但考虑到用户用电的舒适性,多目标优化将提高其综合性能,具有较强的实用性,可以对电力市场中用户的需求响应行为和电力交易起到指导作用,为实际交易提供理论依据。
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