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Integrated optimization of charging infrastructure, electric bus scheduling and energy systems

  • Arsalan Najafi
  • , Kun Gao*
  • , Omkar Parishwad
  • , Georgios Tsaousoglou
  • , Sheng Jin
  • , Wen Yi
  • *Corresponding author for this work
  • Wrocław University of Science and Technology
  • Chalmers University of Technology
  • Zhejiang University
  • Hong Kong Polytechnic University

Research output: Contribution to journal › Journal article › Research › peer-review

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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.
Original languageEnglish
Article number104664
JournalTransportation Research, Part D: Transport and Environment
Volume141
Number of pages24
ISSN1361-9209
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Benders decomposition
  • Charging infrastructure
  • Charging scheduling
  • Electric transport
  • Renewable energy

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