Optimal Dispatch of Combined Cooling, Heating and Power Microgrid Considering Thermal Characteristics of Heating Network

Shuxiu Cao, Juping Gu, Xinsong Zhang, Ping Lu
{"title":"Optimal Dispatch of Combined Cooling, Heating and Power Microgrid Considering Thermal Characteristics of Heating Network","authors":"Shuxiu Cao, Juping Gu, Xinsong Zhang, Ping Lu","doi":"10.1109/YAC.2019.8787640","DOIUrl":null,"url":null,"abstract":"In traditional optimal dispatch of combined cooling, heating and power (CCHP) microgrid, constraint on heat-power balance is considered, but neglecting thermal characteristics of heating network, which reduce the economy and practice value of the dispatching results. In this paper, thermal characteristics of heating network are modeled on the basis of transmission delay and temperature loss pertaining to pipelines. Then, a dispatch optimization model aiming to minimize daily operation costs of the CCHP microgrid is developed, in which constraints on load balance, equipment safety and thermal characteristics are considered. The optimization is a mixed integer non-linear programming problem that can be solved by GAMS. Simulation results demonstrate that the dispatching model proposed in this paper can fully exploit thermal storage capacity of heating network and change the profile of heat load, and thereby deliver more economical and practical dispatching solution. Therefore, thermal characteristics of heating network must be taken into account when dispatching a CCHP microgrid.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"39 1","pages":"317-322"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2019.8787640","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

In traditional optimal dispatch of combined cooling, heating and power (CCHP) microgrid, constraint on heat-power balance is considered, but neglecting thermal characteristics of heating network, which reduce the economy and practice value of the dispatching results. In this paper, thermal characteristics of heating network are modeled on the basis of transmission delay and temperature loss pertaining to pipelines. Then, a dispatch optimization model aiming to minimize daily operation costs of the CCHP microgrid is developed, in which constraints on load balance, equipment safety and thermal characteristics are considered. The optimization is a mixed integer non-linear programming problem that can be solved by GAMS. Simulation results demonstrate that the dispatching model proposed in this paper can fully exploit thermal storage capacity of heating network and change the profile of heat load, and thereby deliver more economical and practical dispatching solution. Therefore, thermal characteristics of heating network must be taken into account when dispatching a CCHP microgrid.
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
考虑热网热特性的冷热电联合微网优化调度
传统的冷热电联产微网优化调度考虑了热电平衡约束,忽视了供热网络的热特性,降低了调度结果的经济性和实用价值。本文在考虑管道传输延迟和温度损失的基础上,建立了供热网络的热特性模型。在此基础上,考虑负荷平衡、设备安全和热特性约束,建立了以热电联产微电网日运行成本最小为目标的调度优化模型。该优化问题是一个混合整数非线性规划问题,可以用GAMS求解。仿真结果表明,本文提出的调度模型可以充分利用供热网络的蓄热能力,改变热负荷的分布,从而提供更加经济实用的调度方案。因此,在调度热电联产微网时,必须考虑热网的热特性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and Kinematics Analysis of a Bionic Finger Hand Rehabilitation Robot Mechanism The PI Control Method in the Input Multi-rate Digital Control System with Low Sample-rate Sensors Exact Delay Margin on Containment Control for Discrete-Time First-Order Multi-Agent Systems The driverless car based on the online learning platform realizes the red light recognition and lane line recognition Path Planning of Multiple AGVs Using a Time-space Network Model
×
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