Integrated optimization of charging infrastructure, electric bus scheduling and energy systems
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| Titel: | Integrated optimization of charging infrastructure, electric bus scheduling and energy systems |
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| Autoren: | Najafi, Arsalan, 1987, Gao, Kun, 1993, Parishwad, Omkar, 1987, Tsaousoglou, Georgios, Jin, Sheng, Yi, Wen |
| Quelle: | Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS) Transportation Research Part D: Transport and Environment. 141 |
| Schlagwörter: | Charging scheduling, Electric transport, Benders decomposition, Charging infrastructure, Renewable energy |
| Beschreibung: | 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. |
| Dateibeschreibung: | electronic |
| Zugangs-URL: | https://research.chalmers.se/publication/545435 https://research.chalmers.se/publication/545435/file/545435_Fulltext.pdf |
| Datenbank: | SwePub |
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Nájsť tento článok vo Web of Science | 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. |
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| ISSN: | 13619209 |
| DOI: | 10.1016/j.trd.2025.104664 |