Collaborative Planning for Electricity Distribution Network and Transportation System Considering Hydrogen Fuel Cell Vehicles

被引:77
|
作者
Tao, Yuechuan [1 ]
Qiu, Jing [1 ]
Lai, Shuying [1 ]
Zhang, Xian [2 ]
Wang, Guibin [3 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[2] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China
[3] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen 518060, Peoples R China
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2020年 / 6卷 / 03期
关键词
Distribution network; electric vehicles (EVs); energy system planning; hydrogen fuel cell vehicles (FCVs); transportation network; CHARGING STATIONS; MULTISTAGE MODEL; POWER; GENERATION; HYBRID; RELIABILITY; ALGORITHM; DEMAND; FLOW;
D O I
10.1109/TTE.2020.2996755
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
Under the pressure of climate change, the transportation sector is under electrification, and electric vehicles (EVs) are encouraged to reduce their reliance on fossil fuels. However, in those regions where coal is a dominating power generation fuel source, different opinions about whether EVs can help emission reduction exist. In other words, whether EVs can help emission reduction depends on the energy system configuration and the power generation mix. To achieve the overall emission reduction in both systems, a collaborative planning strategy for electricity and transportation systems is proposed. In the electricity distribution network, the renewable energy source is planned to cope with future demand growth due to the increasing use of EVs. In the transportation network, hydrogen fuel cell vehicles (FCVs) are introduced to realize the coordinated development of different types of vehicles. The location of the hydrogen refueling stations can be planned, and the penetration ratio of internal combustion vehicles, EVs, and FCVs is optimized. The proposed planning model is verified on the 46-bus electricity distribution network and the 21-bus transportation network. The mixed-integer linear programming (MILP) and subgradient methods are employed to solve the proposed optimization model. According to the simulation results, the proposed model can achieve the lowest emission since the electricity and transportation systems can cooperate well.
引用
收藏
页码:1211 / 1225
页数:15
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