基于需求响应的电力系统协同优化

Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, Bingyao Li
{"title":"基于需求响应的电力系统协同优化","authors":"Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, Bingyao Li","doi":"10.1117/12.2680113","DOIUrl":null,"url":null,"abstract":"In the power system, various energy sources such as cooling, heating, and electricity are coupled and complementary. As a multi-energy supply and demand balance method, power demand response can further improve the flexibility and economy of the system. In order to clarify the influence of demand response on the optimal operation mode of multi-energy cooperative system, this paper proposes an optimal operation model of multi-energy cooperative system based on market-elastic price demand response. Firstly, the main body of the multi-energy cooperative system is analyzed, the multi-energy coupling characteristics are studied based on the energy hub model, and a price-based demand response model based on market elasticity is constructed. Secondly, the optimal operation model aiming at the lowest daily operating cost of the multi-energy cooperative system is established. Finally, combined with the calculation and analysis of actual cases, it is verified that the adoption of price-based demand response measures can significantly improve the economy of the power multi-energy collaborative system.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cooperative optimization of power system based on demand response\",\"authors\":\"Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, Bingyao Li\",\"doi\":\"10.1117/12.2680113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the power system, various energy sources such as cooling, heating, and electricity are coupled and complementary. As a multi-energy supply and demand balance method, power demand response can further improve the flexibility and economy of the system. In order to clarify the influence of demand response on the optimal operation mode of multi-energy cooperative system, this paper proposes an optimal operation model of multi-energy cooperative system based on market-elastic price demand response. Firstly, the main body of the multi-energy cooperative system is analyzed, the multi-energy coupling characteristics are studied based on the energy hub model, and a price-based demand response model based on market elasticity is constructed. Secondly, the optimal operation model aiming at the lowest daily operating cost of the multi-energy cooperative system is established. Finally, combined with the calculation and analysis of actual cases, it is verified that the adoption of price-based demand response measures can significantly improve the economy of the power multi-energy collaborative system.\",\"PeriodicalId\":201466,\"journal\":{\"name\":\"Symposium on Advances in Electrical, Electronics and Computer Engineering\",\"volume\":\"32 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/10.1117/12.2680113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Advances in Electrical, Electronics and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2680113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在电力系统中,冷、热、电等各种能源是耦合互补的。电力需求响应作为一种多能源供需平衡的方法,可以进一步提高系统的灵活性和经济性。为了阐明需求响应对多能合作系统最优运行模式的影响,本文提出了基于市场弹性价格需求响应的多能合作系统最优运行模型。首先,分析了多能协同系统的主体,基于能源枢纽模型研究了多能耦合特性,构建了基于价格的基于市场弹性的需求响应模型。其次,建立了以日运行成本最低为目标的多能协同系统最优运行模型;最后,结合实际案例的计算和分析,验证了采用基于价格的需求响应措施可以显著提高电力多能协同系统的经济性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative optimization of power system based on demand response
In the power system, various energy sources such as cooling, heating, and electricity are coupled and complementary. As a multi-energy supply and demand balance method, power demand response can further improve the flexibility and economy of the system. In order to clarify the influence of demand response on the optimal operation mode of multi-energy cooperative system, this paper proposes an optimal operation model of multi-energy cooperative system based on market-elastic price demand response. Firstly, the main body of the multi-energy cooperative system is analyzed, the multi-energy coupling characteristics are studied based on the energy hub model, and a price-based demand response model based on market elasticity is constructed. Secondly, the optimal operation model aiming at the lowest daily operating cost of the multi-energy cooperative system is established. Finally, combined with the calculation and analysis of actual cases, it is verified that the adoption of price-based demand response measures can significantly improve the economy of the power multi-energy collaborative system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信