Multi-period coordinated dispatch of coupled power-transportation networks with dynamic lane reconfiguration

Liu, Yingnan, Xue, Yixun, Zhou, Zhe, Han, Xiaoqing, Tian, Xingtao, Xu, Jiahe, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 and Sun, Hongbin 2026. Multi-period coordinated dispatch of coupled power-transportation networks with dynamic lane reconfiguration. Applied Energy 426 (Part C) , 128777. 10.1016/j.apenergy.2026.128777

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Abstract

The lane reconfiguration has been utilized in practice to decrease the traffic congestion and travel costs in the urban transportation network (UTN) by changing travelling direction and lane numbers. As the interdependence between the power and transportation networks intensifies, the lane flexibility needs exploiting to further solve the issues of high electric vehicle (EV) charging loads and power congestion in the coupled power and transportation network (CPTN). This paper proposes a coordinated dispatch model of the CPTN considering the dynamic lane reconfiguration. A dynamic lane reconfiguration model is developed accurately by considering buffer time and elastic reconfiguration time to ensure the UTN safety and CPTN flexibility simultaneously. Specifically, the number of reconfigured lanes and duration of lane reconfiguration are both determined by the real-time traffic flow, which is described by the dynamic traffic assignment (DTA) model in the UTN. Moreover, due to the non-convexity introduced by the DTA and lane-reconfiguration models, the nonlinear transportation-side constraints are reformulated into a solver-compatible mixed-integer linear approximation, which can be embedded into the coordinated CPTN dispatch framework. Numerical simulations are conducted in both the UTN and CPTN test systems to demonstrate the advantages of applying DTA models. In the CPTN case, compared with the DTA case without lane reconfiguration, the proposed lane reconfiguration reduces the total social cost from 3339.46 to 2759.80 (17.36%), including a 32.66% reduction in transportation travel cost and a 5.08% reduction in power generation cost, while also mitigating both traffic and power congestion.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	Elsevier
ISSN:	0306-2619
Date of Acceptance:	29 August 2026
Last Modified:	08 Sep 2026 09:00
URI:	https://orca.cardiff.ac.uk/id/eprint/189454

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