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Joint deployment of charging stations and photovoltaic power plants for electric vehicles

机译:联合部署电动汽车的充电站和光伏电站

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摘要

The focus of this study is to jointly design charging stations and photovoltaic (PV) power plants with time-dependent charging fee, to improve the management of the coupled transportation and power systems. We first propose an efficient and extended label-setting algorithm to solve the EV joint routing and charging problem that considers recharging amount choices at different stations and loop movement cases. Then, a variational inequality problem is formulated to model the equilibrium of EV traffic on transportation networks, and an optimal power flow model is proposed to model the power network flow with PV power plants and optimally serve the EV charging requirements. Based on the above models for describing system states, we then formulate a model to simultaneously design charging stations, PV plants, and time-dependent charging fee. A surrogate-based optimization (SBO) algorithm is adopted to solve the model. Numerical examples demonstrate that the proposed SBO algorithm performs well. Additionally, important insights concerning the infrastructure design and price management of the coupled transportation and power networks are derived accordingly.
机译:这项研究的重点是共同设计充电站和光伏发电站,并按时间收费,以改善交通运输和电力系统耦合的管理。我们首先提出一种有效且扩展的标签设置算法,以解决考虑不同站点的充电量选择和循环运动情况的EV联合路由和充电问题。然后,提出了一个变分不等式问题,以建模电动汽车在交通网络上的流量平衡,并提出了一种最佳潮流模型来建模光伏电站的电网流量,并以最佳方式满足电动汽车的充电要求。基于上述用于描述系统状态的模型,我们然后制定一个模型来同时设计充电站,光伏电站和与时间有关的充电费用。采用基于代理的优化算法(SBO)对模型进行求解。数值算例表明,所提出的SBO算法性能良好。此外,相应地得出了有关运输和电力网络耦合的基础设施设计和价格管理的重要见解。

著录项

  • 来源
    《Transportation Research》 |2020年第2期|102247.1-102247.28|共28页
  • 作者

  • 作者单位

    Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China;

    Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China|Tsinghua Univ Tsinghua Daimler Joint Res Ctr Sustainable Transp Beijing 100084 Peoples R China;

    Tsinghua Univ Tsinghua Daimler Joint Res Ctr Sustainable Transp Beijing 100084 Peoples R China|Tsinghua Univ Dept Civil Engn Beijing 100084 Peoples R China;

    Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Electric vehicles; PV power plants; Charging stations; Time-dependent pricing; Surrogate-based optimization;

    机译:电动汽车;光伏电站;充电站;依时间定价;基于代理的优化;

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