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Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment

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  • Liu, Nian
  • Chen, Zheng
  • Liu, Jie
  • Tang, Xiao
  • Xiao, Xiangning
  • Zhang, Jianhua

Abstract

With the rapid development of EVs (electric vehicles), the integration of PV (photovoltaic) generation with EV charging infrastructure can effectively improve the efficiency of clean energy utilization and carbon emission reduction. How to optimize the capacities of components in the PV-based BSS (battery switch stations) is still unsettled. This paper focuses on the mathematical model of the problem. With consideration of battery swapping requirement and maximally utilizing PV energy, an energy exchange strategy is introduced for the PV-based BSS, including battery swapping service model and power distribution model. Towards benefits of economy and environment, objective functions of capacity optimization are modeled with the purpose of minimizing annual cost and maximizing the percentage of utilized PV energy in total energy. The constraints include the construction scale, power balance and battery swapping service etc. Based on the energy exchange strategy, the optimization model is solved by NSGA-II algorithm. Finally, taking the planning of a PV-based BSS in a certain district as example, optimized capacities of PV panels, EV batteries, EV chargers and grid-connected modules can be obtained. From the analysis of the results, the method can provide a foundation for the plan and design of the PV-based BSSs.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:779-792
    DOI: 10.1016/j.energy.2013.10.090
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    Cited by:

    1. Wenxia Liu & Shuya Niu & Huiting Xu & Xiaoying Li, 2016. "A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management," Sustainability, MDPI, vol. 8(6), pages 1-17, June.
    2. Quddus, Md Abdul & Kabli, Mohannad & Marufuzzaman, Mohammad, 2019. "Modeling electric vehicle charging station expansion with an integration of renewable energy and Vehicle-to-Grid sources," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 251-279.
    3. Zhan, Weipeng & Wang, Zhenpo & Zhang, Lei & Liu, Peng & Cui, Dingsong & Dorrell, David G., 2022. "A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations," Energy, Elsevier, vol. 258(C).
    4. Yang, Libing & Ribberink, Hajo, 2019. "Investigation of the potential to improve DC fast charging station economics by integrating photovoltaic power generation and/or local battery energy storage system," Energy, Elsevier, vol. 167(C), pages 246-259.
    5. Ibrahim, Amin & Rahnamayan, Shahryar & Vargas Martin, Miguel & Yilbas, Bekir, 2014. "Multi-objective thermal analysis of a thermoelectric device: Influence of geometric features on device characteristics," Energy, Elsevier, vol. 77(C), pages 305-317.
    6. 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.
    7. García-Triviño, Pablo & Torreglosa, Juan P. & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2016. "Control and operation of power sources in a medium-voltage direct-current microgrid for an electric vehicle fast charging station with a photovoltaic and a battery energy storage system," Energy, Elsevier, vol. 115(P1), pages 38-48.
    8. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Usher, John M. & Jaradat, Raed, 2018. "A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid," Applied Energy, Elsevier, vol. 229(C), pages 841-857.
    9. Mahoor, Mohsen & Hosseini, Zohreh S. & Khodaei, Amin, 2019. "Least-cost operation of a battery swapping station with random customer requests," Energy, Elsevier, vol. 172(C), pages 913-921.
    10. Nan Zhou & Nian Liu & Jianhua Zhang & Jinyong Lei, 2016. "Multi-Objective Optimal Sizing for Battery Storage of PV-Based Microgrid with Demand Response," Energies, MDPI, vol. 9(8), pages 1-24, July.
    11. Feng, Jiawei & Hou, Shengya & Yu, Lijun & Dimov, Nikolay & Zheng, Pei & Wang, Chunping, 2020. "Optimization of photovoltaic battery swapping station based on weather/traffic forecasts and speed variable charging," Applied Energy, Elsevier, vol. 264(C).
    12. Marczinkowski, Hannah Mareike & Østergaard, Poul Alberg, 2018. "Residential versus communal combination of photovoltaic and battery in smart energy systems," Energy, Elsevier, vol. 152(C), pages 466-475.
    13. Wenxiang Li & Ye Li & Haopeng Deng & Lei Bao, 2018. "Planning of Electric Public Transport System under Battery Swap Mode," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    14. Nian Liu & Minyang Cheng, 2017. "Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station," Sustainability, MDPI, vol. 9(2), pages 1-15, February.

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