 An optimal charging scheduling model and algorithm for electric busesZhaoyao Bao, Jiapei Li, Xuehan Bai, Chi Xie, Zhibin Chen, Min Xu, Wen-Long Shang and Hailong Li Applied Energy, 2023, vol. 332, issue C, No S030626192201769X Abstract: Electrification poses a promising low-carbon or even zero-carbon transportation solution, serving as a strategic approach to reducing carbon emissions and promoting carbon neutrality in the transportation sector. Along the transportation electrification pathway, the goal of carbon neutrality can be further accelerated with an increasing amount of electricity being generated from renewable energies. The past decade observed the rapid development of battery technologies and deployment of electricity infrastructure worldwide, fostering transportation electrification to expand from railways to light and then heavy vehicles on roadways. In China, a massive number of electric buses have been employed and operated in dozens of metropolises. An important daily operations issue with these urban electric buses is how to coordinate their charging activities in a cost-effective manner, considering various physical, financial, institutional, and managerial constraints. Keywords: Electric buses; Charging scheduling; Charging windows; Time-of-use tariffs; Electricity load capacity; Bi-criterion dynamic programming (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:332:y:2023:i:c:s030626192201769x Ordering information: This journal article can be ordered from DOI: 10.1016/j.apenergy.2022.120512 Access Statistics for this article Applied Energy is currently edited by J. Yan More articles in Applied Energy from Elsevier |
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