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Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode

Author

Listed:
  • Wanhao Yang

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Hong Wang

    (School of Economics & Management, Tongji University, Shanghai 200092, China)

  • Zhijie Wang

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Xiaolin Fu

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Pengchi Ma

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Zhengchen Deng

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Zihao Yang

    (College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

According to the current optimization problem of electric vehicle charging path planning, a charging path optimization strategy for electric vehicles is proposed, which is under the “traffic-price-distribution” mode. Moreover, this strategy builds an electric vehicle charging and navigation system on the basis of the road traffic network model, real-time electricity price model and distribution network model. Based on the Dijkstra shortest path algorithm and Monte Carlo time-space prediction method, it gets the optimal charging path navigation with the goal of minimizing the charging cost of electric vehicles. The simulation results in MATLAB and MATPOWER (MATLAB R2018a, MATPOWER3.1b2, PSERC, Cannell University) show that the electric vehicle charging path optimization strategy can solve the local traffic congestion problem better and improve the safety and stability of the distribution network because of the fully considering the convenience of electric vehicle charging.

Suggested Citation

  • Wanhao Yang & Hong Wang & Zhijie Wang & Xiaolin Fu & Pengchi Ma & Zhengchen Deng & Zihao Yang, 2020. "Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode," Energies, MDPI, vol. 13(12), pages 1-26, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3208-:d:374155
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    References listed on IDEAS

    as
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    2. Cesar Diaz-Londono & Luigi Colangelo & Fredy Ruiz & Diego Patino & Carlo Novara & Gianfranco Chicco, 2019. "Optimal Strategy to Exploit the Flexibility of an Electric Vehicle Charging Station," Energies, MDPI, vol. 12(20), pages 1-29, October.
    3. Mu, Yunfei & Wu, Jianzhong & Jenkins, Nick & Jia, Hongjie & Wang, Chengshan, 2014. "A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles," Applied Energy, Elsevier, vol. 114(C), pages 456-465.
    4. Martin Spitzer & Jonas Schlund & Elpiniki Apostolaki-Iosifidou & Marco Pruckner, 2019. "Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids," Energies, MDPI, vol. 12(21), pages 1-19, October.
    5. Nasim Jabalameli & Xianging Su & Sara Deilami, 2019. "An Online Coordinated Charging/Discharging Strategy of Plug-in Electric Vehicles in Unbalanced Active Distribution Networks with Ancillary Reactive Service in the Energy Market," Energies, MDPI, vol. 12(7), pages 1-17, April.
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