A two-layer coordinated operation optimization model for multi-energy complementary systems considering demand response

Weifu Wang, Hongda Gao, Weifeng Zhang, Zhengjun Jin, Weiting Sun
{"title":"A two-layer coordinated operation optimization model for multi-energy complementary systems considering demand response","authors":"Weifu Wang, Hongda Gao, Weifeng Zhang, Zhengjun Jin, Weiting Sun","doi":"10.1109/ACPEE51499.2021.9436934","DOIUrl":null,"url":null,"abstract":"Demand response is an effective way to alleviate the gap between energy supply and demand and enhance energy utilization efficiency. It is of great significance to promote the sustainable development of multi-energy complementary systems. Firstly, a demand response model based on demand elasticity matrix is constructed for a multi-energy complementary system. With the consideration of uncertainty of clean energy output, a two-level coordinated operation optimization model of the multi-energy complementary system is constructed, where the upper layer considers the overall benefit of the multi-energy complementary system, and the lower layer focuses on the benefit of the internal generation side. A two-stage solution algorithm composed of \"clean energy uncertainty processing - optimization model processing based on genetic algorithm\" was adopted to carry out multi-scenario simulation example analysis.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9436934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Demand response is an effective way to alleviate the gap between energy supply and demand and enhance energy utilization efficiency. It is of great significance to promote the sustainable development of multi-energy complementary systems. Firstly, a demand response model based on demand elasticity matrix is constructed for a multi-energy complementary system. With the consideration of uncertainty of clean energy output, a two-level coordinated operation optimization model of the multi-energy complementary system is constructed, where the upper layer considers the overall benefit of the multi-energy complementary system, and the lower layer focuses on the benefit of the internal generation side. A two-stage solution algorithm composed of "clean energy uncertainty processing - optimization model processing based on genetic algorithm" was adopted to carry out multi-scenario simulation example analysis.
考虑需求响应的多能互补系统两层协调运行优化模型
需求响应是缓解能源供需缺口、提高能源利用效率的有效途径。这对促进多能源互补系统的可持续发展具有重要意义。首先,建立了基于需求弹性矩阵的多能量互补系统需求响应模型。考虑到清洁能源输出的不确定性,构建了多能互补系统两层协同运行优化模型,其中上层考虑多能互补系统整体效益,下层关注内部发电侧效益。采用“清洁能源不确定性处理-基于遗传算法的优化模型处理”两阶段求解算法,进行多场景仿真算例分析。
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