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Enhancement of household photovoltaic consumption potential in village microgrid considering electric vehicles scheduling and energy storage system configuration

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  • Wang, Weijun
  • Li, Chen
  • He, Yan
  • Bai, Haining
  • Jia, Kaiqing
  • Kong, Zhe

Abstract

The large-scale development of household photovoltaic in rural areas increases grid operation challenges and leads to higher costs for its access to the grid. To promote self-generation and self-consumption of photovoltaic, this paper investigates methods to enhance the photovoltaic consumption potential in village microgrid. An electric vehicles orderly charging scheduling model and an energy storage configuration model are proposed respectively, solved by CPLEX tool and genetic algorithm, and the photovoltaic consumption under different charging scenarios is compared with disordered or orderly charging and with or without energy storage. The results show that electric vehicles orderly charging scheduling not only reduces the load peak-valley difference, but also increases the photovoltaic consumption, and the configuration of energy storage enhances the photovoltaic consumption potential higher than electric vehicles charging scheduling, but its investment cost is larger, and it needs to be reasonably planned for its capacity. Comprehensive analysis suggests that load management and energy storage configuration co-optimization is the optimal choice to increase photovoltaic consumption. This study verifies the potential of load management and energy storage configuration to enhance household photovoltaic consumption, which can provide an application reference for the sustainable development of household photovoltaic and village microgrid.

Suggested Citation

  • Wang, Weijun & Li, Chen & He, Yan & Bai, Haining & Jia, Kaiqing & Kong, Zhe, 2024. "Enhancement of household photovoltaic consumption potential in village microgrid considering electric vehicles scheduling and energy storage system configuration," Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031062
    DOI: 10.1016/j.energy.2024.133330
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