Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms
- Northeast Forestry University, Harbin (China)
- Harbin Institute of Technology (China)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE); Fundamental Research Funds for the Central Universities
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1798286
- Report Number(s):
- NREL/JA--5D00-80329; MainId:42532; UUID:029c76a9-35bd-4006-a263-3a0cfaca7068; MainAdminID:25642
- Journal Information:
- CSEE Journal of Power and Energy Systems, Journal Name: CSEE Journal of Power and Energy Systems Journal Issue: 3 Vol. 7; ISSN 2096-0042
- Publisher:
- Chinese Society for Electrical Engineering (CSEE)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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