期刊
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
卷 7, 期 3, 页码 555-566出版社
CHINA ELECTRIC POWER RESEARCH INST
DOI: 10.17775/CSEEJPES.2020.02380
关键词
Battery swapping station; electric vehicle; vehicle routing problem; wind power
资金
- Fundamental Research Funds for the Central Universities [2572020BF04]
This paper studies a battery swapping-charging system based on wind farms to address the insufficiencies in charging facilities and the reliance of electric vehicles on fossil energy. A joint optimal scheduling model is established and a heuristic method is used to solve the formulated NP-hard problem, verifying the effectiveness of the system and its potential to promote EVs and wind power.
Insufficiencies in charging facilities limit the broad application of electric vehicles (EVs). In addition, EV can hardly represent a green option if its electricity primarily depends on fossil energy. Considering these two problems, this paper studies a battery swapping-charging system based on wind farms (hereinafter referred to as W-BSCS). In a W-BSCS, the wind farms not only supply electricity to the power grid but also cooperate with a centralized charge station (CCS), which can centrally charge EV batteries and then distribute them to multiple battery swapping stations (BSSs). The operational framework of the W-BSCS is analyzed, and some preprocessing technologies are developed to reduce complexity in modeling. Then, a joint optimal scheduling model involving a wind power generation plan, battery swapping demand, battery charging and discharging, and a vehicle routing problem (VRP) is established. Then a heuristic method based on the exhaustive search and the Genetic Algorithm is employed to solve the formulated NP-hard problem. Numerical results verify the effectiveness of the joint optimal scheduling model, and they also show that the W-BSCS has great potential to promote EVs and wind power.
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