Dynamic equilibrium of the coupled transportation and power networks considering electric vehicles charging behavior

Yingjie Song, Dong Ngoduy, Takao Dantsuji and Chuan Ding

Transportation Research Part A: Policy and Practice, 2025, vol. 199, issue C

Abstract: The coupling between the transportation network (TN) and power distribution network (PDN) is becoming more significant due to the increasing use of electric vehicles (EVs) and fast charging stations (FCSs). Accurately characterizing the dynamic coupling between TN and PDN is crucial. However, existing literature exhibits significant deficiencies in modeling the travel behaviors of gasoline vehicles (GVs) and EVs, as well as the propagation characteristics of mixed traffic networks. Moreover, it overlooks the queuing capacity limits of FCSs and the impact of queue overflow on TN. To address these issues, this study presents a stochastic dynamic user equilibrium (SDUE) modeling framework for coupled networks considering EVs charging behavior. This framework comprehensively captures the dynamic interactions among departure times, path choices, FCS choices, and electricity prices within the TN and PDN. To capture the traffic dynamics, a multi-class traffic flow propagation model for EVs and GVs, considering EV charging behavior, is developed. Additionally, an improved fixed-point algorithm is proposed to obtain the dynamic equilibrium state of the coupled networks. Case studies reveal that reducing FCS capacity degrades overall network performance. Therefore, it is essential to consider queue overflow when devising traffic policies to enhance network performance and assessing the layout of FCSs. Furthermore, the results indicate that the coupled operation strategy, in comparison to independent operation strategies, can reduce total traffic delay costs by 28.4%, decrease average waiting time at FCSs by 28.7%, and lower power losses by 11.7%. These findings underscore the significance of collaborative management and planning of TN and PDN in response to the escalating demand for EVs.

Keywords: Electric vehicle; Transportation network; Power network; Charging behavior; Dynamic equilibrium (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856425002186
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:199:y:2025:i:c:s0965856425002186

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2025.104590

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().