Integrated optimization of charging infrastructure, electric bus scheduling and energy systems
Document Type
Journal Article
Publication Date
2025
Subject Area
place - europe, mode - bus, infrastructure - vehicle, infrastructure - fleet management, operations - scheduling
Keywords
Electric transport, Charging infrastructure, Charging scheduling, Renewable energy, Benders decomposition
Abstract
The adoption of Battery Electric Buses (BEBs) in electric public transit systems presents a significant opportunity for advancing sustainable transportation. This study introduces a holistic framework for joint optimization of charging infrastructure, charging scheduling, and integration of renewable energy resources (RES), considering impacts on Power distribution network (PDN). To address the complex optimization, a decomposition approach is employed to linearize the problem and divide it into master and subproblems for efficient resolution. A case study in Skövde, Sweden demonstrates that the proposed methodology optimizes charging infrastructure deployment and scheduling to reduce the overall system costs. Meanwhile, high charging demand from BEBs in some periods to fulfil operation scheduling may result in violation of technical constraints of the PDN (more than 4%), without RES. The incorporation and optimization of RES with battery energy storage can cater to spatiotemporal charging demand of BEB while enhancing stability and safety of PDN.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Najafi, A., Gao, K., Parishwad, O., Tsaousoglou, G., Jin, S., & Yi, W. (2025). Integrated optimization of charging infrastructure, electric bus scheduling and energy systems. Transportation Research Part D: Transport and Environment, 141, 104664.

Comments
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http://www.sciencedirect.com/science/journal/13619209