Optimal Operation of Energy Hubs in an Integrated Energy Network Considering Multiple Energy Carriers

被引:0
作者
Deng, S. [1 ]
Wu, L. L. [1 ]
Wei, F. [1 ]
Wu, Q. H. [1 ]
Jing, Z. X. [1 ]
Zhou, X. X. [2 ]
Li, M. S.
机构
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] State Grid Corp China, China Elect Power Res Inst, Beijing 100192, Peoples R China
来源
2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA) | 2016年
关键词
Energy hubs; interconnection point; integrated energy network; bi-level optimization; GSO; OPTIMAL POWER-FLOW; OPTIMIZATION; GAS;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Energy hubs play an important role in implementing the integrated energy system as an interconnection point between various energy components and networks. Energy networks also influence the management of the energy hubs. Therefore, the problem of optimal operation of the energy hubs and energy networks is modeled as a bi-level optimization problem in this paper. In the proposed bi-level model, the objective of the upper level problem is to minimize the operation cost of the energy hubs, and the objective of the lower level problem is to minimize the cost of the energy networks. The amount of energy consumed by the energy hubs and the marginal electricity price are considered as the interaction variables between the higher level and the lower level. In addition, the optimal operation cost of the energy hubs associated with power grid and natural gas network is optimized using group search optimizer (GSO). Moreover, the methodology is applied to a 4-hub test system which is utilized to demonstrate the applicability of the presented methodology.
引用
收藏
页码:1201 / 1206
页数:6
相关论文
共 14 条
[1]  
[Anonymous], IEEE T POWER SYST
[2]  
[Anonymous], 2005, IEEE RUSSIA POWER TE
[3]   A bi-level optimization model for operation of distribution networks with micro-grids [J].
Bahramara, S. ;
Moghaddam, M. Parsa ;
Haghifam, M. R. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 82 :169-178
[4]   Multi-time period combined gas and electricity network optimisation [J].
Chaudry, Modassar ;
Jenkins, Nick ;
Strbac, Goran .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (07) :1265-1279
[5]   A vision of future energy networks [J].
Favre-Perrod, Patrick ;
Geidl, Martin ;
Kloeck, Bernd ;
Koeppel, Gaudenz .
IEEE Power Engineering Society Inaugural 2005 Conference and Exposition in Africa, 2005, :13-17
[6]  
Frik B. R., 2010, THESIS
[7]   Optimal power flow of multiple energy carriers [J].
Geidl, Martin ;
Andersson, Goeran .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) :145-155
[8]   A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions [J].
Ghasemi, Mojtaba ;
Ghavidel, Sahand ;
Rahmani, Shima ;
Roosta, Alireza ;
Falah, Hasan .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2014, 29 :54-69
[9]   Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior [J].
He, S. ;
Wu, Q. H. ;
Saunders, J. R. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (05) :973-990
[10]   Reliability modeling of multi-carrier energy systems [J].
Koeppel, Gaudenz ;
Andersson, Goeran .
ENERGY, 2009, 34 (03) :235-244