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Optimizing interaction in renewable-vehicle-microgrid systems: Balancing battery health, user satisfaction, and participation

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  • Zhou, Sixun
  • Yan, Rujing
  • Zhang, Jing
  • He, Yu
  • Geng, Xianxian
  • Li, Yuanbo
  • Yu, Changkun

Abstract

The coordinated interaction between electric vehicles (EVs) and renewable energy is crucial for optimizing the EV charging process and minimizing the impact on microgrids. However, such interactions can impact key factors such as battery lifespan, user satisfaction, and EV participation. For better mitigating battery degradation, enhancing user satisfaction, and promoting higher EV participation, this paper proposes an innovative vehicle-microgrid interaction strategy that balances the peak-to-valley difference and charging costs. This strategy is then compared to an uncoordinated interaction strategy, using a dataset of 200 EVs. The results show that, compared to the uncoordinated interaction strategy with different charging demands, the proposed strategy reduces the peak-valley difference by 52.62 %, 51.40 %, 50.14 %, and 48.88 % for the four satisfaction intervals when meeting the minimum charging demand. For the maximum charging demand, the reduction rates are 51.74 %, 50.26 %, 49.32 %, and 48.23 %, respectively. Furthermore, the total charging cost can be reduced by 24.79 %, 21.47 %, 18.42 %, and 15.30 % for minimum charging demands and 15.12 %, 12.95 %, 10.75 %, and 8.49 % for maximum charging demands. Overall, the proposed strategy enhances the operational stability of renewable-vehicle-microgrid systems while reducing the charging costs for EV users.

Suggested Citation

  • Zhou, Sixun & Yan, Rujing & Zhang, Jing & He, Yu & Geng, Xianxian & Li, Yuanbo & Yu, Changkun, 2025. "Optimizing interaction in renewable-vehicle-microgrid systems: Balancing battery health, user satisfaction, and participation," Renewable Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004859
    DOI: 10.1016/j.renene.2025.122823
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