A multi-agent based optimization architecture for energy hub operation

被引:10
作者
Lin, Haiyang [1 ]
Wang, Qinxing [1 ]
Wang, Yu [1 ]
Liu, Yiling [1 ]
Huang, Nianzhi [1 ]
Wennersten, Ronald [1 ]
Sun, Qie [1 ]
机构
[1] Shandong Univ, Inst Thermal Sci & Technol, Jingshi Rd 17923, Jinan 250061, Shandong, Peoples R China
来源
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY | 2017年 / 142卷
关键词
Energy hub; CCHP; Multi-energy carrier; Optimal operation; Multi-agent based system; SYSTEMS; MODEL;
D O I
10.1016/j.egypro.2017.12.621
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposed a novel approach to optimize the operation of an energy hub based on a multi-agent based model which includes hub element agents, a multi-energy demands agent, a commercial agent, an integrated dispatch agent and an environment agent. The novel optimization architecture is a combination and evolution of day-ahead and hour-ahead management method based on agents' pre-defined roles and their interactions. The off-design condition performance and start-stop loss of hub units are considered in the model. A simple case study is taken to enforce the optimization architecture. The results validated the efficient operation of the developed system, proving its ability to optimize the operation of energy hub. (C) 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the 9th International Conference on Applied Energy.
引用
收藏
页码:2158 / 2164
页数:7
相关论文
共 18 条
[1]   Optimal design and operation of district heating and cooling networks with CCHP systems in a residential complex [J].
Ameri, Mohammad ;
Besharati, Zahed .
ENERGY AND BUILDINGS, 2016, 110 :135-148
[2]   Combined energy hub optimisation and demand side management for buildings [J].
Batic, Marko ;
Tomasevic, Nikola ;
Beccuti, Giovanni ;
Demiray, Turhan ;
Vranes, Sanja .
ENERGY AND BUILDINGS, 2016, 127 :229-241
[3]   A general model for energy hub economic dispatch [J].
Beigvand, Soheil Derafshi ;
Abdi, Hamdi ;
La Scala, Massimo .
APPLIED ENERGY, 2017, 190 :1090-1111
[4]   Energy hubs for the future [J].
Geidl, Martin ;
Koeppel, Gaudenz ;
Favre-Perrod, Patrick ;
Kloeckl, Bernd ;
Andersson, Goran ;
Froehlich, Klaus .
IEEE POWER & ENERGY MAGAZINE, 2007, 5 (01) :24-30
[5]   Optimal day-ahead scheduling of integrated urban energy systems [J].
Jin, Xiaolong ;
Mu, Yunfei ;
Jia, Hongjie ;
Wu, Jianzhong ;
Xu, Xiandong ;
Yu, Xiaodan .
APPLIED ENERGY, 2016, 180 :1-13
[6]  
Lin H, ENERGY PROCEDIA
[7]   Agent-based modeling of electricity consumption in an office building under a tiered pricing mechanism [J].
Lin, Haiyang ;
Wang, Qinxing ;
Wang, Yu ;
Wennerstern, Ronald ;
Sun, Qie .
CLEAN ENERGY FOR CLEAN CITY: CUE 2016 - APPLIED ENERGY SYMPOSIUM AND FORUM: LOW-CARBON CITIES AND URBAN ENERGY SYSTEMS, 2016, 104 :329-335
[8]   Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub [J].
Ma, Tengfei ;
Wu, Junyong ;
Hao, Liangliang .
ENERGY CONVERSION AND MANAGEMENT, 2017, 133 :292-306
[9]   Energy, exergy and sensitivity analyses of a hybrid combined cooling, heating and power (CCHP) plant with molten carbonate fuel cell (MCFC) and Stirling engine [J].
Mehrpooya, Mehdi ;
Sayyad, Shahrad ;
Zonouz, Masood Jalali .
JOURNAL OF CLEANER PRODUCTION, 2017, 148 :283-294
[10]   Modeling of non-linear CHP efficiency curves in distributed energy systems [J].
Milan, Christian ;
Stadler, Michael ;
Cardoso, Goncalo ;
Mashayekh, Salman .
APPLIED ENERGY, 2015, 148 :334-347