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Optimization framework for integrated battery electric bus planning and charging scheduling
Transportation Research Part D: Transport and Environment ( IF 7.6 ) Pub Date : 2023-03-20 , DOI: 10.1016/j.trd.2023.103697
Pranav Gairola, N. Nezamuddin

Battery electric bus’s (BEB) limited operating range and lengthy charging duration are a cause of concern to BEB operators. Fast-charging technology can decrease charging time and battery size while increasing the daily driving range of BEBs, but it will increase the cost of electricity. We first propose a deterministic optimization framework to assist BEB operators in choosing an optimal set of decisions regarding charging station configurations while minimizing capital and operational costs. BEB recharge schedules were accordingly created to minimize the electricity cost while accounting for time-of-use energy pricing and demand charges. We then built a robust counterpart of the deterministic model to consider BEB energy consumption uncertainty, and then transformed it into a tractable formulation. The model results imply that BEB planning and charging scheduling choices are interrelated. Therefore, BEB operators will find an integrated modelling framework highly useful for simultaneously designing their BEB systems and scheduling recharging activities.



中文翻译:

纯电动公交车规划与充电调度一体化优化框架

纯电动公交车 (BEB) 有限的运行范围和较长的充电时间是 BEB 运营商关注的一个问题。快速充电技术可以减少充电时间和电池尺寸,同时增加 BEB 的日常行驶里程,但会增加电力成本。我们首先提出了一个确定性优化框架,以帮助 BEB 运营商选择一组有关充电站配置的最佳决策,同时最大限度地降低资本和运营成本。相应地制定了 BEB 充电计划,以最大限度地减少电力成本,同时考虑到使用时间的能源定价和需求费用。然后,我们构建了一个稳健的确定性模型来考虑 BEB 能源消耗的不确定性,然后将其转化为易于处理的公式。模型结果表明 BEB 规划和充电调度选择是相互关联的。因此,BEB 运营商会发现一个集成的建模框架对于同时设计他们的 BEB 系统和安排充电活动非常有用。

更新日期:2023-03-21
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