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Research On The Layout Planning Of Electric Bus Charging/Swapping Station

Posted on:2016-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:L J FangFull Text:PDF
GTID:2272330479994699Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As one type of application of electric vehicles, electric bus has been promoted in a certain extent both at home and abroad, which plays a good exemplary role of energy conservation and improve public acceptance of electric vehicles. Also, it’s relatively easier to centralize planning charging/swapping stations. Research on the layout planning of electric bus charging /swapping station is meaningful.Charging mode is the prime to the study the layout planning of charging/swapping stations. Based on the current study, this paper comes to a conclusion that swapping is better for electric bus. After that, two charging modes for electric bus are presented and detail analyzed. That is, "centralized charging after swapping" mode and "ordinary charging after swapping" mode. In this charging system,the Bus company is responsible for the operation of bus and building stations while the Battery company manages the backup battery and charging plan.From the standpoint of Bus Company, the minimum LCC(Life Cycle Cost) is calculated as the objective function considering the facility cost, backup bus cost, transformer cost and land-purchase cost for both charging mode. The variables are the path choices from bus stations to charging/swapping stations or from swapping station to centralized charging stations. Tabu search algorithm is employed to solve the model. The layout and operation condition of 50 bus stations is employed to demonstrate the feasibility and effectiveness of the model. The optimization results show that the cost under "centralized charging after swapping" mode is smaller than that under "ordinary charging after swapping" mode while more charging/swapping stations are constructed.At last, from the battery company’s point of view, this paper analyses the charging process, and advances a model considering the cost of backup battery and electricity. Driving characteristics are detailed studied and the Monte Carlo method is used to build electric bus random driving model to get more accurate results of battery needs versus time. Based on the station layout got before, GA(Genetic Algorithm) is applied to get the optimal charging plan at minimum cost. The results demonstrate that cost under "centralized charging after swapping" mode is lower.
Keywords/Search Tags:electric vehicle, charging and swapping stations, charging mode, layout planning, coordinated charging
PDF Full Text Request
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