收费基础设施与定价策略:如何适应不同视角?

Amir Mirheli, L. Hajibabai
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引用次数: 5

摘要

可再生能源技术的环境和经济优势激发了鼓励企业主和个人使用电动汽车的努力。大规模的电动交通受到充电基础设施和电池技术不足的影响。考虑到电动汽车用户的出行和充电费用,本研究制定了以电动汽车充电设施部署和使用成本最小为目标的双层优化方案。开发了一种混合方法,该方法(i)将提议的公式转换为等效的单级公式,(ii)实现基于活动集的技术,以及(iii)使用宏观基本图(MFD)概念估计旅行成本。一个实证案例的数值实验表明了所提出算法的性能和一些管理见解。并与基准算法进行了比较,结果表明所提出的方法可以有效地确定近似最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Charging Infrastructure and Pricing Strategy: How to Accommodate Different Perspectives?
The environmental and economic advantages of renewable-energy technologies inspire efforts to encourage the use of electric vehicles (EVs) by business owners and individuals. Large-scale electric mobility is affected by inadequate charging infrastructure and battery technology. This study formulates a bi-level optimization program that aims to minimize the cost of EV charging facility deployment and utilization considering EV users’ travel and charging expenses. A hybrid methodology is developed that (i) converts the proposed formulation into an equivalent single-level formulation, (ii) implements an active-set based technique, and (iii) estimates travel costs using a macroscopic fundamental diagram (MFD) concept. Numerical experiments on an empirical case study show the performance of the proposed algorithm and some managerial insights. The results are also compared to a benchmark algorithm, which indicate that the proposed methodology can determine near-optimal solutions efficiently.
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