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Joint planning of distributed generation and electric vehicle charging stations considering real-time charging navigation

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  • Luo, Lizi
  • Gu, Wei
  • Wu, Zhi
  • Zhou, Suyang

Abstract

With the popularity of intelligent mobile terminals, as well as the improvement in wireless communication technologies, the application of real-time charging navigation for electric vehicles (EVs) has met a booming development in recent years. Accordingly, more and more EV owners tend to make their charging decisions depending on the guidance from navigation systems, which to some extent transforms the EV charging demands into spatially dispatchable resources in the operation of distribution systems. To involve this spatially dispatchable characteristic at the planning stage of distribution systems, and deploy power devices in a cost-effective way, a comprehensive optimization model concerning the joint planning of distributed generators (DGs) and electric vehicle charging stations (EVCSs) is proposed in this paper from the perspective of a social planner. The proposed joint planning model is embedded with the spatial scheduling problem of EV charging demands, and focuses on the optimum of relevant social costs. To relieve the complexity of the optimization model, an exact second-order cone programming (SOCP) relaxation is utilized to transform the proposed model into the type of mixed integer second-order cone programming (MISOCP), which can be efficiently solved in polynomial time. Finally, a practical urban area coupled with the 33-bus distribution system is used as the test system to implement the proposed approach, and the corresponding allocation schemes as well as annualized social costs are minutely presented. The numerical comparison with traditional Voronoi diagram-based planning methods reveals the significant economic benefits achieved through considering real-time charging navigation technologies.

Suggested Citation

  • Luo, Lizi & Gu, Wei & Wu, Zhi & Zhou, Suyang, 2019. "Joint planning of distributed generation and electric vehicle charging stations considering real-time charging navigation," Applied Energy, Elsevier, vol. 242(C), pages 1274-1284.
    • Handle: RePEc:eee:appene:v:242:y:2019:i:c:p:1274-1284
    DOI: 10.1016/j.apenergy.2019.03.162
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    3. Misbah Abdelrahim & Gamal Alkawsi & Ammar Ahmed Alkahtani & Ali M. W. Alhasan & Mohammad Khudari & Mohd Rizuan Abdul Kadir & Janaka Ekanayake & Sieh Kiong Tiong, 2022. "Techno-Economic Analysis of a Wind-Energy-Based Charging Station for Electric Vehicles in High-Rise Buildings in Malaysia," Energies, MDPI, vol. 15(15), pages 1-11, July.
    4. Graber, Giuseppe & Calderaro, Vito & Mancarella, Pierluigi & Galdi, Vincenzo, 2020. "Two-stage stochastic sizing and packetized energy scheduling of BEV charging stations with quality of service constraints," Applied Energy, Elsevier, vol. 260(C).
    5. Fathabadi, Hassan, 2020. "Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs)," Applied Energy, Elsevier, vol. 260(C).
    6. Tao, Yuechuan & Qiu, Jing & Lai, Shuying & Sun, Xianzhuo & Zhao, Junhua & Zhou, Baorong & Cheng, Lanfen, 2022. "Data-driven on-demand energy supplement planning for electric vehicles considering multi-charging/swapping services," Applied Energy, Elsevier, vol. 311(C).
    7. Raja S, Charles & Kumar N M, Vijaya & J, Senthil kumar & Nesamalar J, Jeslin Drusila, 2021. "Enhancing system reliability by optimally integrating PHEV charging station and renewable distributed generators: A Bi-Level programming approach," Energy, Elsevier, vol. 229(C).
    8. Li Zhang & Ke Gong & Maozeng Xu, 2019. "Congestion Control in Charging Stations Allocation with Q-Learning," Sustainability, MDPI, vol. 11(14), pages 1-11, July.
    9. Hyeon Woo & Yongju Son & Jintae Cho & Sungyun Choi, 2022. "Stochastic Second-Order Conic Programming for Optimal Sizing of Distributed Generator Units and Electric Vehicle Charging Stations," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    10. Feifeng Zheng & Zhaojie Wang & Ming Liu, 2022. "Overnight charging scheduling of battery electric buses with uncertain charging time," Operational Research, Springer, vol. 22(5), pages 4865-4903, November.
    11. He, Fulin & Fathabadi, Hassan, 2020. "Novel standalone plug-in hybrid electric vehicle charging station fed by solar energy in presence of a fuel cell system used as supporting power source," Renewable Energy, Elsevier, vol. 156(C), pages 964-974.

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