A planning method for energy storage capacity of highway self-consistent multi-microgrid system considering carbon trading

被引:1
|
作者
Shi, Ruifeng [1 ,4 ]
Gao, Yuqin [2 ]
Zhang, Jie [3 ]
Jia, Limin [4 ,5 ]
Lee, Kwang Y. [6 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] State Grid Smart Grid Res Inst Co Ltd, Beijing 102209, Peoples R China
[3] Beijing Huairou Lab, Beijing 101407, Peoples R China
[4] North China Elect Power Univ, China Inst Energy & Transportat Integrated Dev, Beijing 102206, Peoples R China
[5] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
[6] Baylor Univ, Dept Elect & Comp Engn, Waco, TX 76798 USA
关键词
Energy transportation integration; Highway transportation and energy integration; Highway self-consistent multi-microgrid system; Hydrogen energy storage; Carbon trading; TRANSPORTATION;
D O I
10.1016/j.est.2024.113616
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
Promoting the interconnection of highway system and the energy system electric-carbon market is the key to realizing the full integration and synergistic development of highway transportation and energy. To enhance the green energy transition of highway transportation in weak grid areas, this paper proposes an energy storage capacity planning method for highway self-consistent multi-microgrid system (HSC-MMS) and formulates an interconnection operation scheme for highway transportation multi-load aggregation scenarios. The planning method that considers the characteristics of electricity-hydrogen coupling within the microgrid and the synergistic interconnection between the microgrids can not only satisfy the relevant constraints but also ensure the reliable power supply of the system. By adding carbon trading between the highway system and energy system, the carbon tax of the highway system can be effectively reduced by $13,415.90, and the economic efficiency of the HSC-MMS can be improved by 7.30 %. Meanwhile, multiple weather typical scenarios are generated based on the K-means clustering algorithm, which ensures the scientificity and feasibility of the system planning scheme. The simulation results verify the effectiveness of the proposed planning method.
引用
收藏
页数:18
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