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

Yue Xiang, Jinpeng Meng, Da Huo, Lixiong Xu, Yunfei Mu, Chenghong Gu, Kai Hou, Fei Teng

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)

Abstract

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.

Original languageEnglish
Pages (from-to)3690-3698
Number of pages9
JournalIET Renewable Power Generation
Volume14
Issue number18
DOIs
Publication statusPublished - 21 Dec 2020

Bibliographical note

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.

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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