Charging Station Planning with Mobile Charging Stations under Energy-Transport-Information Integration

In light of the accelerated evolution of electric vehicles and the notable tidal charging phenomenon, investigating the planning methodologies for charging stations incorporating mobile charging piles is of paramount importance. This paper considers the integration framework of energy, transportation, and information. Initially, models for energy, transportation, and information are established separately, based on graph theory. Subsequently, a planning model for charging stations with mobile charging piles is developed with the objective of minimising planning costs. This model is solved by the commercial solver Gurobi. Finally, the simulation results validate the economic and practical benefits of the proposed model.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991426
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Charging Station Planning with Mobile Charging Stations under Energy-Transport-Information Integration

Tingting Xu, Xiaorui Hu, Shun Li, Yi Long et al.
Electric Vehicles and Infrastructure
article

Charging Station Planning with Mobile Charging Stations under Energy-Transport-Information Integration

Tingting Xu, Xiaorui Hu, Shun Li, Yi Long, Tianxi Qin, Qian Zhang
article en

Abstract

In light of the accelerated evolution of electric vehicles and the notable tidal charging phenomenon, investigating the planning methodologies for charging stations incorporating mobile charging piles is of paramount importance. This paper considers the integration framework of energy, transportation, and information. Initially, models for energy, transportation, and information are established separately, based on graph theory. Subsequently, a planning model for charging stations with mobile charging piles is developed with the objective of minimising planning costs. This model is solved by the commercial solver Gurobi. Finally, the simulation results validate the economic and practical benefits of the proposed model.

Chongqing University (CN), State Grid Corporation of China (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 72%
Electric Vehicles and Infrastructure
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