Low-carbon traffic resilience-enhanced robust planning of coupled transportation and power distribution network based on modified user equilibrium model

Yuxin Sun, Xujun Huang, Guibin Wang, Xian Zhang, Jing Qiu and Goran Strbac

Applied Energy, 2025, vol. 397, issue C, No S0306261925009882

Abstract: As the global climate change problem becomes increasingly serious, carbon reduction has become the focus of attention of all countries. Electric vehicles (EVs), as a low-carbon alternative to traditional gas vehicles (GVs), have developed rapidly in recent years, promoting the coupling between the transportation network (TN) and the power distribution network (PDN). However, this deepening will amplify the impact of road disasters on the coupled system and cause more serious economic losses. Therefore, this paper introduces a comprehensive multi-stage tri-level robust planning of coupled transportation and power distribution network (CTPDN) to systemically enhance traffic resilience and reduce carbon emissions, aiming to minimize investment, traffic, carbon emission and power network costs under uncertain road damage conditions and other uncertainties. Firstly, a modified mixed user equilibrium model is proposed to characterize the behavior of EVs and GVs, which incorporates a unique EV path filtering mechanism and traffic resilience-enhancement characteristics. Then, a carbon-oriented optimal traffic-power flow (OTPF) model is developed to characterize the operation of CTPDN, which takes the carbon emission flow (CEF) into consideration, thereby achieving low-carbon objectives and highlighting the environmental benefits of EVs. An effective solution algorithm, BD-C&CG, is designed to solve this tri-level robust CTPDN planning problem. The proposed planning model is demonstrated using a coupled 33-node PDN and firstly a 12-node TN and then a 47-node TN. Numerical results validate its effectiveness. Furthermore, the advantages of the proposed modified mixed UE model are also verified, reducing 5.89 % travel failure rate. Sensitivity analyses show the effectiveness of the proposed BD-C&CG algorithm and the impact of carbon pricing.

Keywords: Coupled transportation and power distribution network planning; Low carbon; Modified mixed user equilibrium model; Carbon emission flow model; BD-C&CG algorithm; Traffic resilience enhancement (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925009882
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:appene:v:397:y:2025:i:c:s0306261925009882

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126258

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().