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Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements

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  • Clairand, Jean-Michel
  • González-Rodríguez, Mario
  • Kumar, Rajesh
  • Vyas, Shashank
  • Escrivá-Escrivá, Guillermo

Abstract

Electric vehicles (EVs) have become more popular to address transportation-related environmental concerns. However, to integrate a massive fleet of EVs, it is crucial to properly build charging stations by considering the optimal geographical placement and number of charging spots. This task is particularly challenging for users with rigid schedules such as taxi drivers. Hence, an optimal siting and sizing approach for an electric taxi (ET) charging station is proposed in this study, considering both transportation and power system needs. In addition, particular attention to taxi drivers' needs is considered. Fixed installation costs, land costs, and trip costs are the factors evaluated in this proposed approach. A network modeling approach based on a winner-takes-all edge trimming was used to identify interest points of the city in terms of traffic flows. Ecuador's capital, Quito, was considered a case study. A sensitivity analysis was also carried out to address traffic flow uncertainties such as trip expenses and restrictions.

Suggested Citation

  • Clairand, Jean-Michel & González-Rodríguez, Mario & Kumar, Rajesh & Vyas, Shashank & Escrivá-Escrivá, Guillermo, 2022. "Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements," Energy, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:energy:v:256:y:2022:i:c:s036054422201475x
    DOI: 10.1016/j.energy.2022.124572
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    Cited by:

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    2. Hao Qiang & Yanchun Hu & Wenqi Tang & Xiaohua Zhang, 2023. "Research on Optimization Strategy of Battery Swapping for Electric Taxis," Energies, MDPI, vol. 16(5), pages 1-15, February.
    3. Li, Mingyang & Tang, Jinjun, 2023. "Simulation-based optimization considering energy consumption for assisted station locations to enhance flex-route transit," Energy, Elsevier, vol. 277(C).
    4. Zhao, Zhonghao & Lee, Carman K.M. & Huo, Jiage, 2023. "EV charging station deployment on coupled transportation and power distribution networks via reinforcement learning," Energy, Elsevier, vol. 267(C).
    5. Ullah, Zia & Wang, Shaorong & Wu, Guan & Hasanien, Hany M. & Rehman, Anis Ur & Turky, Rania A. & Elkadeem, Mohamed R., 2023. "Optimal scheduling and techno-economic analysis of electric vehicles by implementing solar-based grid-tied charging station," Energy, Elsevier, vol. 267(C).
    6. Dongpu Fu & Jiarui Sun & Cuiyou Yao & Fulei Shi, 2024. "The influence of policy incentives on the diffusion of battery-swapping taxis and stations: a coupled evolutionary game model in complex networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26945-26969, October.

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