Stochastic planning for transition from shopping mall parking lots to electric vehicle charging stations

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2024-11-22 DOI:10.1016/j.apenergy.2024.124894

Gang Yu , Xianming Ye , Dunwei Gong , Xiaohua Xia

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引用次数: 0

Abstract

Shopping mall parking lots are promising and popular sites across nations to be transitioned into charging stations due to the nature of land availability and attractiveness to people. Sufficient charging poles contribute to satisfactory user experience, but excessive charging poles jeopardise the financial feasibility. In this study, an optimal transition planning strategy is proposed that carefully balances the number of charging poles to maximise financial returns while ensuring user convenience. For this purpose, a charging demand model at shopping malls is obtained from historical parking records. A real-time parking bay allocation strategy is obtained according to the charging requests against the available charging poles with the consideration of the maximum demand tariff. To handle the inherent uncertainty of charging demand, we formulate the optimal transition planning problem into a stochastic programming framework. In the case study, we investigate the optimal transition plan for a shopping mall parking lot in the United Kingdom. The optimal results show the transition planning method increases the annual profit by 34% and user satisfaction by 37% compared to the baseline method. The insights for the transition plans that accommodate varying factors including EV penetration, types of charging poles, and charging prices are provided.

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从购物中心停车场向电动汽车充电站过渡的随机规划

由于土地的可用性和对人们的吸引力，购物中心停车场是各国有望转型为充电站的热门地点。充足的充电桩有助于获得令人满意的用户体验，但过多的充电桩会危及财务可行性。本研究提出了一种最佳过渡规划策略，在确保用户便利性的同时，谨慎平衡充电桩数量，以实现财务回报最大化。为此，我们从历史停车记录中获得了购物中心的充电需求模型。在考虑最大需求费率的情况下，根据充电请求与可用充电桩的对比情况，得出实时停车位分配策略。为了处理充电需求的内在不确定性，我们将最优过渡规划问题纳入随机编程框架。在案例研究中，我们研究了英国一家购物中心停车场的最佳过渡计划。最优结果显示，与基线方法相比，过渡规划方法的年利润提高了 34%，用户满意度提高了 37%。我们还提供了对过渡计划的见解，这些过渡计划考虑到了电动汽车普及率、充电桩类型和充电价格等不同因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.