Modeling and Optimization of Integrated Energy System Based on Energy Circuit Theory

被引:3
作者
Li, Ming [1 ,2 ]
Wang, Zhe [3 ]
机构
[1] Guangxi Univ, Coll Elect Engn, Nanning 530004, Peoples R China
[2] Yangjiang Polytech, Yangjiang 529500, Peoples R China
[3] Guangxi Univ, Sch Comp & Elect Informat, Nanning 530004, Peoples R China
关键词
energy hub; energy circuit; optimization; dispatch; integrated energy system; OPTIMAL OPERATION; STORAGE; MANAGEMENT; ELECTRICITY; MARKET; WIND; FLOW; HUB;
D O I
10.1002/tee.23349
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Significant benefits in economics and environment could be attained with the growing development of integrated energy system (IES). Energy hub (EH) has a large potential for realization the objective of implementing complementarity coordination and optimization of IES. EH is a device with multiple inputs and outputs, which plays a role of connecting hub in energy optimization, but it is difficult to model automatically. Aiming at this problem, we propose a standardized matrix modeling method based on energy circuit theory. In this study, EH is first simplified into energy circuit diagram. Then, signal flow graph describing the topology of the energy circuit diagram is developed. On this basis, the energy flow equations are established based on Kirchhoff's extensive properties law. Based on the proposed EH framework, a bi-level programming model is constructed for maximizing the profits and minimizing costs. This model was converted into a mixed-integer linear program (MILP) through jointly employing the Karush-Kuhn-Tucker (KKT) optimality condition, the relaxation technology and the linearization method. Then the MILP is solved with the well-developed CPLEX commercial solver. Finally, case studies demonstrate the effectiveness of the proposed model and method. (c) 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
引用
收藏
页码:704 / 714
页数:11
相关论文
共 30 条
[1]  
[Anonymous], 2008, 1 INT C INFR SYST SE
[2]   Dynamic energy, exergy and market modeling of a High Temperature Heat and Power Storage System [J].
Arabkoohsar, A. ;
Andresen, G. B. .
ENERGY, 2017, 126 :430-443
[3]  
Bahrami S S., 2013, Energy and Power Engineering, V5, P352
[4]   Electricity producer offering strategies in day-ahead energy market with step-wise offers [J].
Bakirtzis, Anastasios G. ;
Ziogos, Nikolaos P. ;
Tellidou, Athina C. ;
Bakirtzis, Gregory A. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) :1804-1818
[5]   A BRANCH AND BOUND ALGORITHM FOR THE BILEVEL PROGRAMMING PROBLEM [J].
BARD, JF ;
MOORE, JT .
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1990, 11 (02) :281-292
[6]  
Beccuti G, 2015, 2015 IEEE EINDHOVEN POWERTECH
[7]   Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system [J].
Brahman, Faeze ;
Honarmand, Masoud ;
Jadid, Shahram .
ENERGY AND BUILDINGS, 2015, 90 :65-75
[8]   Flexible Distributed Multienergy Generation System Expansion Planning Under Uncertainty [J].
Cesena, Eduardo A. Martinez ;
Capuder, Tomislav ;
Mancarella, Pierluigi .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (01) :348-357
[9]  
[陈皓勇 Chen Haoyong], 2014, [西安交通大学学报, Journal of Xi'an Jiaotong University], V48, P66
[10]   Matrix modelling of small-scale trigeneration systems and application to operational optimization [J].
Chicco, Gianfranco ;
Mancarella, Pierluigi .
ENERGY, 2009, 34 (03) :261-273