Reliability-oriented optimal planning of charging stations in electricity-transportation coupled networks

被引:9
|
作者
Xiang, Yue [1 ,2 ]
Meng, Jinpeng [1 ]
Huo, Da [3 ]
Xu, Lixiong [1 ]
Mu, Yunfei [4 ]
Gu, Chenghong [5 ]
Hou, Kai [4 ]
Teng, Fei [2 ]
机构
[1] Sichuan Univ, Coll Elect Engn, Chengdu, Peoples R China
[2] Imperial Coll London, Dept Elect & Elect Engn, London, England
[3] Newcastle Univ, Sch Engn, Newcastle Upon Tyne, Tyne & Wear, England
[4] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin, Peoples R China
[5] Univ Bath, Dept Elect & Elect Engn, Bath, Avon, England
基金
中国国家自然科学基金;
关键词
Monte Carlo methods; power distribution planning; transportation; optimisation; electric vehicle charging; power distribution reliability; correlation methods; electric vehicles; balanced reliability; electricity network reliability; optimal planning method; reliability enhancement; coupled network reliability assessment method; large-scale electricity network; reliability-oriented multiobjective optimal planning model; EV navigation; electricity-transportation coupled networks; charging stations; EV charging; integrated management strategy; quasisequential Monte Carlo simulation; correlation analysis; VEHICLES; IMPACT;
D O I
10.1049/iet-rpg.2020.0005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To coordinate the increasing application of electric vehicles (EVs), the deployment of charging stations becomes vital for supporting the charging and navigation for EVs, which also affects the reliability of the corresponding electricity network. To achieve the balanced reliability in both the electricity network and EV trip, an optimal planning method for charging stations in the electricity-transportation coupled networks is proposed. Firstly, an integrated management strategy of EVs is demonstrated to model the reliability enhancement of the two networks. Thereafter, a coupled network reliability assessment method based on the quasi-sequential Monte Carlo simulation is presented. This study proposes a novel reliability-oriented multi-objective optimal planning model for charging stations planning problem, which is resolved by implementing the optimal planning scheme from the candidate nodes. Additionally, correlation analysis is performed to ensure that the proposed model can be solved quickly for large-scale electricity network with complex transportation flow input data. A test case is presented and simulated to validate the feasibility and effectiveness of the proposed method.
引用
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页码:3690 / 3698
页数:9
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