A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service
A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service
复制标题
代客充电电动汽车充电站选址问题的两阶段模糊随机规划
DOI：
10.1016/j.trb.2021.09.006
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发表时间：
2021-11
期刊：
影响因子：
--
通讯作者：
Zhi-Hai Zhang
中科院分区：
文献类型：
--
作者：
Na Li;Yue Jiang;Zhi-Hai Zhang
介绍了电动汽车市场上出现的一种新的充电服务模式--代客充电服务。通过这种服务模式，公司为远离充电站的用户提供免费代客充电服务，用户在不愿意自己为电动汽车充电时，可以要求收费服务。代客充电服务是一种新的服务模式，有望减轻用户对附近缺乏充电站的担忧。然而，这种模式是否真正有利于特定的系统仍然有待仔细研究。在需求不确定的条件下，建立了具有代客充电服务的充电站选址和规模模型。首先，我们制定了这个问题作为一个两阶段的随机混合整数模型（TSMIP）。然后，考虑到需求概率分布难以估计，我们将TSMIP转化为一个带有模糊集的风险厌恶两阶段随机混合整数模型（RTSMIP）。接下来，我们提出了一个基于SAA的混合切割L形算法来解决这个模型。通过假设的数值实验和上海的实际案例研究，比较了不同情景下有无代客充电服务的系统总成本，提供了有意义的见解，包括识别代客充电服务良好运行的条件以及它如何影响充电站的位置和容量。这些见解提供了对这种新服务模式的一些理解，可以帮助企业做出理性的决策。
This paper introduces a new charging service mode that is emerging in the market for electric vehicles called the valet charging service. Through this service mode, a company provides free valet charging services to users that are far away from charging stations, and users can request the fee-based service when they are unwilling to charge electric vehicles themselves. The valet charging service is a new service mode that promises to alleviate users’ worries regarding the lack of nearby charging stations. However, whether such a mode truly benefits a specified system remains open to careful study. We build the charging station locating and sizing model with the valet charging service under demand uncertainty. We first formulate this problem as a two-stage stochastic mixed-integer model (TSMIP). Then, considering that the demand probability distribution is difficult to estimate, we reformulate TSMIP into a risk-averse two-stage stochastic mixed-integer model (RTSMIP) with the ambiguity set. Next, we propose an SAA-based hybrid-cut L-shaped algorithm to solve this model. By comparing the total cost of the system with and without the valet charging service under different scenarios through hypothetical numerical experiments and a realistic case study in Shanghai, meaningful insights are provided that include identifying the conditions in which the valet charging service works well and how it influences the location and capacity of charging stations. These insights provide some understanding of this new service mode that can help companies make rational decisions.
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影响因子：
5
作者：
Zhongsheng Hua;Wuhua Chen;Z. Zhang
通讯作者：
Zhongsheng Hua;Wuhua Chen;Z. Zhang
DOI：
10.1016/j.ejor.2001.12.001
发表时间：
2005
期刊：
Eur. J. Oper. Res.
影响因子：
--
作者：
Ovidiu Listes;R. Dekker
通讯作者：
Ovidiu Listes;R. Dekker
DOI：
10.1016/j.ejtl.2020.100025
发表时间：
2020-11
期刊：
EURO J. Transp. Logist.
影响因子：
--
作者：
S. A. MirHassani;A. Khaleghi;F. Hooshmand
通讯作者：
S. A. MirHassani;A. Khaleghi;F. Hooshmand
影响因子：
1.2
作者：
Carrizosa, E;Nickel, S
通讯作者：
Nickel, S
DOI：
10.1007/b97617
发表时间：
1997-07
期刊：
--
影响因子：
--
作者：
J. Birge;F. Louveaux
通讯作者：
J. Birge;F. Louveaux