无线在途充电环境下油电混编公交车队的运营调度优化

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  • (大连海事大学 交通运输工程学院, 辽宁 大连 116026)
孙世超*(1988 — ),男,博士,副教授,E-mail:dlmu_sunshichao@163.com。王竞悦(1999 — ),女,硕士生。

网络出版日期: 2023-12-07

基金资助

教育部人文社会科学基金 (20YJCZH139) 

Optimization of hybrid bus fleet operations in a wireless on-route charging environment

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  • (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

Online published: 2023-12-07

摘要

在基于油电混编车队的公交线路运营模式下,引入在途无线充电设施将显著影响公交车队的运营调度计划。因此,本研究旨在通过建立一个考虑公交运营条件和纯电动公交车电量等约束的混合整数规划模型,以最小化总运营成本为目标,包括公交车辆使用成本、碳排放成本以及无线充电设施建设成本等,来实现无线在途充电环境下的油电混编车队运营调度优化,即解决无线充电设施选址与油电混编车队运营策略的联合优化问题。为了求解模型,使用了自适应大邻域搜索算法,并设计相关算例来模拟不同的车队构成和充电策略,同时分析不同情况下的总运营成本。此外,还进行了对无线充电设施的充电功率对结果的敏感性研究,以更好地理解这一模型的性能和鲁棒性。研究结果显示,在无线充电环境下,混编公交车队的总运营成本最低。并且,随着无线充电功率的增加,无线充电站点的规划数量和燃油车辆的投入都会减少。因此,本研究所建立的无线充电站点选址与油电混编车队调度模型能够有效降低公交车队的总运营成本。

本文引用格式

孙世超, 王竞悦 . 无线在途充电环境下油电混编公交车队的运营调度优化[J]. 大连海事大学学报, 2024 , 50(2) : 81 -91 . DOI: 10.16411/j.cnki.issn1006-7736.2024.02.009

Abstract

In the context of a bus fleet combining gasoline and electric vehicles, the introduction of on-route wireless charging infrastructure significantly influences their operation and scheduling. This study revolves around the challenge of optimizing the placement of wireless charging stations and formulating operational strategies for such a hybrid bus fleet. A mixed-integer programming model has been thoughtfully devised, taking into account an array of constraints, including variables related to bus operations and the state of electric bus batteries. The objective is to minimize the overall operational costs. To tackle this model, an adaptive large neighborhood search algorithm is employed. Additionally, practical scenarios are meticulously designed to simulate a variety of fleet compositions and charging strategies. A comprehensive comparative analysis of overall operational costs is undertaken, accounting for different fleet compositions and charging strategies. Furthermore, a sensitivity analysis is conducted to scrutinize the effects of the charging power of wireless charging facilities on the results. The results underscore that in an environment featuring on-route wireless charging, the hybrid bus fleet stands out with the lowest total operational costs. Moreover, with the increase in charging power of wireless charging facilities, there is a concurrent reduction in the number of planned charging stations and gasoline-fueled buses, culminating in reduced overall costs. Therefore, the proposed model in this study offers an effective and efficient approach for significantly trimming down the overall operational costs of the bus fleet in the context of on-route wireless charging.

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