Joint Optimal Scheduling for Electric Vehicle Battery Swapping-charging Systems Based on Wind Farms

查看全文 作　　者：Mingfei [1]Ban;Jilai [2]Yu;Yiyun [3]Yao

机构地区：[1]College of Mechanical and Elec-trical Engineering,Northeast Forestry University,Harbin 150040,China;[2]Department of Electrical Engineering,Harbin Institute of Technology,Harbin 150001,China;[3]National Renewable Energy Laboratory,Golden 80401,USA

出　　处：《CSEE Journal of Power and Energy Systems》索引2021年第7卷第3期,共12页

基　　金：This work was supported by the Fundamental Research Funds for the Central Universities(2572020BF04). 摘　　要：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. 关键词：Battery swapping station electric vehicle vehicle routing problem wind power

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Joint Optimal Scheduling for Electric Vehicle Battery Swapping-charging Systems Based on Wind Farms

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