Homogeneous Flow Optimization in Regional Multi-Heterogeneous Energy Networks

Xingji Hu, Jun Ma, Jiakai Shen, Jiaxin Sui, Zhennan Wang, Weidong Li
{"title":"Homogeneous Flow Optimization in Regional Multi-Heterogeneous Energy Networks","authors":"Xingji Hu, Jun Ma, Jiakai Shen, Jiaxin Sui, Zhennan Wang, Weidong Li","doi":"10.1109/CEECT50755.2020.9298672","DOIUrl":null,"url":null,"abstract":"Current research on integrated energy system (IES) optimization lacks a suitable unified calculation model. The network flow model has the ability to uniformly represent the energy flow distribution of the electric power system, natural gas system and heat power system. It can clearly show the energy flow in a visual form. In this paper, the heterogeneous energy is unified to the network flow platform for calculation. Multi-objective comprehensive dispatch optimizes the economic and environmental benefits of regional electric-gas-heat integrated energy system under multi-period. Simulation results prove that the model is not restricted by the grid structure and has a clear and intuitive form. The corresponding algorithm is solved quickly and linear convergence is guaranteed. This study can reasonably consider the economy, safety and environmental protection of IES. It can provide a reference for multi-energy flow multi-objective multi-period unified optimization dispatch.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT50755.2020.9298672","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

Current research on integrated energy system (IES) optimization lacks a suitable unified calculation model. The network flow model has the ability to uniformly represent the energy flow distribution of the electric power system, natural gas system and heat power system. It can clearly show the energy flow in a visual form. In this paper, the heterogeneous energy is unified to the network flow platform for calculation. Multi-objective comprehensive dispatch optimizes the economic and environmental benefits of regional electric-gas-heat integrated energy system under multi-period. Simulation results prove that the model is not restricted by the grid structure and has a clear and intuitive form. The corresponding algorithm is solved quickly and linear convergence is guaranteed. This study can reasonably consider the economy, safety and environmental protection of IES. It can provide a reference for multi-energy flow multi-objective multi-period unified optimization dispatch.
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
区域多非均质能源网络的均匀流优化
目前的综合能源系统优化研究缺乏合适的统一计算模型。网络流模型具有统一表示电力系统、天然气系统和热电系统能量流分布的能力。它可以清晰地以视觉形式显示能量流。本文将异质能量统一到网络流平台进行计算。多目标综合调度优化了区域电-气-热一体化能源系统在多时段的经济效益和环境效益。仿真结果表明,该模型不受网格结构的限制,具有清晰直观的形式。算法求解速度快,保证了算法的线性收敛性。本研究可以合理考虑IES的经济性、安全性和环保性。可为多能量流多目标多周期的统一优化调度提供参考。
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 comprehensive understanding of conductive mechanism of RRAM: from electron conduction to ionic dynamics [Title page] Leg Structure Design for Special Hexapod Robot with Climbing Vertical Walls Ability Homogeneous Flow Optimization in Regional Multi-Heterogeneous Energy Networks A tri-generation system based Micro-Grid Energy management: A deep reinforcement learning Approach
×
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