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

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Title: Integrated optimization of charging infrastructure, electric bus scheduling and energy systems
Authors: Najafi, Arsalan, 1987, Gao, Kun, 1993, Parishwad, Omkar, 1987, Tsaousoglou, Georgios, Jin, Sheng, Yi, Wen
Source: Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS) Transportation Research Part D: Transport and Environment. 141
Subject Terms: Charging scheduling, Electric transport, Benders decomposition, Charging infrastructure, Renewable energy
Description: 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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  Data: Integrated optimization of charging infrastructure, electric bus scheduling and energy systems
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  Data: <searchLink fieldCode="AR" term="%22Najafi%2C+Arsalan%22">Najafi, Arsalan</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22Gao%2C+Kun%22">Gao, Kun</searchLink>, 1993<br /><searchLink fieldCode="AR" term="%22Parishwad%2C+Omkar%22">Parishwad, Omkar</searchLink>, 1987<br /><searchLink fieldCode="AR" term="%22Tsaousoglou%2C+Georgios%22">Tsaousoglou, Georgios</searchLink><br /><searchLink fieldCode="AR" term="%22Jin%2C+Sheng%22">Jin, Sheng</searchLink><br /><searchLink fieldCode="AR" term="%22Yi%2C+Wen%22">Yi, Wen</searchLink>
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  Data: <i>Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS) Transportation Research Part D: Transport and Environment</i>. 141
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  Data: <searchLink fieldCode="DE" term="%22Charging+scheduling%22">Charging scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+transport%22">Electric transport</searchLink><br /><searchLink fieldCode="DE" term="%22Benders+decomposition%22">Benders decomposition</searchLink><br /><searchLink fieldCode="DE" term="%22Charging+infrastructure%22">Charging infrastructure</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy%22">Renewable energy</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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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        Value: 10.1016/j.trd.2025.104664
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      – Text: English
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      – SubjectFull: Charging scheduling
        Type: general
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      – SubjectFull: Benders decomposition
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      – TitleFull: Integrated optimization of charging infrastructure, electric bus scheduling and energy systems
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            NameFull: Najafi, Arsalan
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            NameFull: Tsaousoglou, Georgios
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            NameFull: Jin, Sheng
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              Value: 141
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            – TitleFull: Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS) Transportation Research Part D: Transport and Environment
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