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A green-fitting dispatching model of station cluster for battery swapping under charging-discharging mode

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  • Zhang, Shuo
  • Li, Xinxin
  • Li, Yingzi
  • Zheng, Yidan
  • Liu, Jie

Abstract

The comprehensive promotion of electric vehicles is critical for green and low-carbon energy transformation and dual-carbon goals in China. Battery swapping station is a hub to meet the battery-swapping demands of EVs and consumes renewable energy power (REP). Moreover, the potential of battery swapping station cluster (BSSC) must be explored urgently. Therefore, the day-ahead dispatching model of BSSC is proposed for the efficient consumption of REP and battery-swapping demands of electric taxis (ETs) in this paper. Firstly, the battery-swapping demands of ETs in dynamic spatiotemporal distribution are aggregated by the KNN algorithm. Secondly, a dual-objective model of the day-ahead dispatching model with economy and efficient consumption of REP is constructed, and the NSGA-II algorithm obtains the optimal strategy. Finally, taking a city of China as an example, the charging-discharging strategy of BSSC is provided. The results show that the day-ahead dispatching model is of practical significance to get an optimal charging-discharging strategy of cluster loads for REP consumption and economic battery-swapping service.

Suggested Citation

  • Zhang, Shuo & Li, Xinxin & Li, Yingzi & Zheng, Yidan & Liu, Jie, 2023. "A green-fitting dispatching model of station cluster for battery swapping under charging-discharging mode," Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223009945
    DOI: 10.1016/j.energy.2023.127600
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    References listed on IDEAS

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