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Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station

Author

Listed:
  • Nian Liu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Minyang Cheng

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

Abstract

The Photovoltaic–assisted Charging Station (PVCS) is regarded as one of the most promising charging facilities for future electric vehicle (EV) energy supplementation. In this paper, the operation mode and profitability of a commercialized PVCS are analyzed under the energy policy of China. In order to evaluate the long-term effectiveness of using the PVCS to provide guidance for the investors of the stations, a set of evaluation indexes is introduced, including the quality of service, the environmental and economic benefits, and the impacts on the grid. Furthermore, an easily-achieved charging strategy which considers the quality of service and the self-consumption of PV energy is proposed. Finally, an effectiveness evaluation for different operational scenarios of the PVCS is completed, based on the actual statistical data. The simulation and evaluation results indicate that the PVCS has the potential to produce satisfactory environmental/economic benefits and to reduce the impacts and dependence of an EV’s charging load on the grid.

Suggested Citation

  • Nian Liu & Minyang Cheng, 2017. "Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:323-:d:91151
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    References listed on IDEAS

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    1. Zhao, Hengbing & Burke, Andrew, 2015. "Evaluation of a PV Powered EV Charging Station and its Buffer Battery," Institute of Transportation Studies, Working Paper Series qt1zv0918t, Institute of Transportation Studies, UC Davis.
    2. Liu, Nian & Chen, Zheng & Liu, Jie & Tang, Xiao & Xiao, Xiangning & Zhang, Jianhua, 2014. "Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment," Energy, Elsevier, vol. 64(C), pages 779-792.
    3. Zhao, Hengbing & Burke, Andrew, 2014. "An Intelligent Solar-Powered Battery-Buffered EV Charging Station with Solar Electricity Forecasting and EV Charging Load Projection Functions," Institute of Transportation Studies, Working Paper Series qt3q74z6m1, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Hoarau, Quentin & Perez, Yannick, 2018. "Interactions between electric mobility and photovoltaic generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 510-522.
    2. Nian Liu & Minyang Cheng & Li Ma, 2017. "Multi-Party Energy Management for Networks of PV-Assisted Charging Stations: A Game Theoretical Approach," Energies, MDPI, vol. 10(7), pages 1-16, July.

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