Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms

Ban, Mingfei; Yu, Jilai; Yao, Yiyun

doi:10.17775/cseejpes.2020.02380

Title: Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms

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Abstract

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.

Authors:

^[1]; Yu, Jilai ^[2];

^[3]

Northeast Forestry University, Harbin (China)
Harbin Institute of Technology (China)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Fri Nov 20 00:00:00 EST 2020

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); Fundamental Research Funds for the Central Universities

OSTI Identifier:: 1798286

Report Number(s):: NREL/JA-5D00-80329
Journal ID: ISSN 2096-0042; MainId:42532;UUID:029c76a9-35bd-4006-a263-3a0cfaca7068;MainAdminID:25642

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: CSEE Journal of Power and Energy Systems

Additional Journal Information:: Journal Volume: 7; Journal Issue: 3; Journal ID: ISSN 2096-0042

Publisher:: Chinese Society for Electrical Engineering (CSEE)

Country of Publication:: United States

Language:: English

Subject:: 33 ADVANCED PROPULSION SYSTEMS; 25 ENERGY STORAGE; 17 WIND ENERGY; battery swapping station; electric vehicle; vehicle routing problem; wind power

Citation Formats


                    Ban, Mingfei, Yu, Jilai, and Yao, Yiyun. Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms.  United States: N. p., 2020. 
Web.  doi:10.17775/cseejpes.2020.02380.

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                    Ban, Mingfei, Yu, Jilai, & Yao, Yiyun. Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms.  United States.  https://doi.org/10.17775/cseejpes.2020.02380

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                    Ban, Mingfei, Yu, Jilai, and Yao, Yiyun. Fri .  
"Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms".  United States.  https://doi.org/10.17775/cseejpes.2020.02380.  https://www.osti.gov/servlets/purl/1798286.

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@article{osti_1798286,

  title        = {Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms},

  author       = {Ban, Mingfei and Yu, Jilai and Yao, Yiyun},

  abstractNote = {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.},

  doi          = {10.17775/cseejpes.2020.02380},

  journal      = {CSEE Journal of Power and Energy Systems},

  number       = 3,

  volume       = 7,

  place        = {United States},

  year         = {Fri Nov 20 00:00:00 EST 2020},

  month        = {Fri Nov 20 00:00:00 EST 2020}

}

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