Optimal Prices for Coordinated Operation of Coupled Transportation and Power Systems

The growing adoption of electric vehicles (EVs) necessitates an in-depth analysis of the effects of centralized charging on both traffic congestion and power distribution networks (PDNs). This study presents a coupled model of transportation and power systems that incorporates EV travel behavior and charging costs, emphasizing their interaction between the urban transportation network and the PDN via dynamic wireless energy transmission technology. The equilibrium of the coupled system was then determined through an iterative algorithm aimed at minimizing the total social cost. Example results validate the model's accuracy and effectiveness. Furthermore, the study demonstrates that the proposed approach can significantly alleviate traffic congestion while simultaneously satisfying the charging needs of EVs and maintaining the stability of the power distribution network

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864690
Primary Topic
Energy, Environment, and Transportation Policies
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Prices for Coordinated Operation of Coupled Transportation and Power Systems

Bin Li, Jia Li, Qincheng Li, Hongye Su et al.
Energy, Environment, and Transportation Policies
article

Optimal Prices for Coordinated Operation of Coupled Transportation and Power Systems

Bin Li, Jia Li, Qincheng Li, Hongye Su, Zhitao Liu
article en

Abstract

The growing adoption of electric vehicles (EVs) necessitates an in-depth analysis of the effects of centralized charging on both traffic congestion and power distribution networks (PDNs). This study presents a coupled model of transportation and power systems that incorporates EV travel behavior and charging costs, emphasizing their interaction between the urban transportation network and the PDN via dynamic wireless energy transmission technology. The equilibrium of the coupled system was then determined through an iterative algorithm aimed at minimizing the total social cost. Example results validate the model's accuracy and effectiveness. Furthermore, the study demonstrates that the proposed approach can significantly alleviate traffic congestion while simultaneously satisfying the charging needs of EVs and maintaining the stability of the power distribution network

State Key Laboratory of Industrial Control Technology (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 84%
Energy, Environment, and Transportation Policies
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