TY - JOUR
T1 - Reliability-oriented optimal planning of charging stations in electricity–transportation coupled networks
AU - Xiang, Yue
AU - Meng, Jinpeng
AU - Huo, Da
AU - Xu, Lixiong
AU - Mu, Yunfei
AU - Gu, Chenghong
AU - Hou, Kai
AU - Teng, Fei
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (51807127), the Sichuan Science and Technology Program (2019YFH0171, 20SYSX0233, 2019YFG0152) and International Visiting Program for Excellent Young Scholars of Sichuan University.
Publisher Copyright:
© The Institution of Engineering and Technology 2021.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/12/21
Y1 - 2020/12/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103273084&partnerID=8YFLogxK
U2 - 10.1049/iet-rpg.2020.0005
DO - 10.1049/iet-rpg.2020.0005
M3 - Article
AN - SCOPUS:85103273084
SN - 1752-1416
VL - 14
SP - 3690
EP - 3698
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
IS - 18
ER -