Low-carbon operation of a multi-energy system with hydrogen-based vehicle applications

被引:1
作者
Mei, Jie [1 ]
Lee, Christopher H. T. [2 ]
Kirtley, James L. [1 ]
机构
[1] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
关键词
DEMAND RESPONSE; NATURAL-GAS; ENERGY HUB; POWER; OPTIMIZATION; MODEL; WIND; STRATEGY; DISPATCH; HEAT;
D O I
10.1049/rpg2.12459
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to cope with the challenges of improving energy efficiency, increasing the integration of renewable energy, and achieving carbon emission reduction, multi-energy systems have received more and more attention in recent years and have been developing rapidly. Traditionally, different energy infrastructures are usually scheduled and operated independently, which leads to inefficient use of energy and waste of resources. By integrating into a multi-energy system, different energy infrastructures can be coupled and optimized into one unit. In this article, from a low-carbon point of view, the optimal scheduling of a real multi-energy system with hydrogen-based vehicle applications is proposed. The simulation results show that the proposed optimal scheduling can help quantify the daily operation cost and carbon emissions and achieve considerably operating cost saving and carbon reduction by reasonably arranging and utilizing all the devices in the system.
引用
收藏
页码:2547 / 2555
页数:9
相关论文
共 31 条
[1]   MINLP Probabilistic Scheduling Model for Demand Response Programs Integrated Energy Hubs [J].
Alipour, Manijeh ;
Zare, Kazem ;
Abapour, Mehdi .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (01) :79-88
[2]   Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty [J].
Bai, Linquan ;
Li, Fangxing ;
Cui, Hantao ;
Jiang, Tao ;
Sun, Hongbin ;
Zhu, Jinxiang .
APPLIED ENERGY, 2016, 167 :270-279
[3]   Combined gas and electricity network expansion planning [J].
Chaudry, Modassar ;
Jenkins, Nick ;
Qadrdan, Meysam ;
Wu, Jianzhong .
APPLIED ENERGY, 2014, 113 :1171-1187
[4]   Two-stage robust planning-operation co-optimization of energy hub considering precise energy storage economic model [J].
Chen, Cong ;
Sun, Hongbin ;
Shen, Xinwei ;
Guo, Ye ;
Guo, Qinglai ;
Xia, Tian .
APPLIED ENERGY, 2019, 252
[5]   Integrated Energy Systems for Higher Wind Penetration in China: Formulation, Implementation, and Impacts [J].
Chen, Xinyu ;
McElroy, Michael B. ;
Kang, Chongqing .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (02) :1309-1319
[6]   Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications [J].
Chen, Xinyu ;
Kang, Chongqing ;
O'Malley, Mark ;
Xia, Qing ;
Bai, Jianhua ;
Liu, Chun ;
Sun, Rongfu ;
Wang, Weizhou ;
Li, Hui .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (04) :1848-1857
[7]   Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China [J].
Feng, Zhiying ;
Tang, Wenhu ;
Niu, Zhewen ;
Wu, Qinghua .
APPLIED ENERGY, 2018, 228 :1122-1135
[8]  
Geidl M., 2007, Ph.D. Thesis
[9]   Optimal coupling of energy infrastructures [J].
Geidl, Martin ;
Andersson, Goeran .
2007 IEEE LAUSANNE POWERTECH, VOLS 1-5, 2007, :1398-1403
[10]   Optimal power flow of multiple energy carriers [J].
Geidl, Martin ;
Andersson, Goeran .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) :145-155