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Research On Optimal Configuration And Operation Of Charging Station Containing Retired Batteries

Posted on:2020-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:S X GuoFull Text:PDF
GTID:2392330578465284Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Under the new situation of energy development,clean substitution and electric energy substitution have become a major trend of energy development in China,which greatly stimulates the development and promotion of electric vehicles and new energy industries.In addition,under the influence of urban motor vehicle restriction and many meteorological factors,the use of electric bus travel mode also gradually occupies a larger market share.However,the construction of the corresponding supporting facilities for electric buses is relatively backward,and there are some problems such as inaccurate power consumption prediction,large investment,large area occupied,and difficult disposal of battery decommissioning.With the coming of decommissioning tide of power batteries in China,the cascade utilization of decommissioned power batteries is still in the primary stage of large-scale development,thus exists many problems in the utilization stage of decommissioned power batteries.In view of such situation,a design of electric bus charging station is proposed,that is to say,the design of charging station for electric bus with the energy storage of decommissioned power batteries into consideration is to introduce decommissioned power batteries to the optimal configuration of charging station for energy storage,and ponder the access of new energy sources to form a structure design based on MMC,to promote the absorption upon photovoltaic energy,improve the operating income of charging station and reduce the cost of charging station.According to the health characteristics of decommissioned power batteries,the improved K-means clustering analysis method is used to cluster the curve characteristics of decommissioned power batteries,and the AHP-CRITIC method is used to evaluate the decommissioned power batteries according to the economic indexes of those.Then,a comprehensive evaluation model considering the health characteristics together with economy of decommissioned power batteries is established.An example is given to validate the proposed evaluation model.After in-depth analysis upon the application of the evaluation upon decommissioned power batteries,a design for MMC structure upon charging station is put forward,which combines decommissioned power batteries,electric buses and photovoltaic power generation.The capacity of the MMC structure,decommissioned power batteries,new energy sources and photovoltaic power generation connected to the charging station of electric buses is optimal allocated.The case study shows that the cost before and after the design of the power energy collection system can effectively reduce the cost of land investment,make full use of the advantages of power batteries and the application of new energy policy,and provide guidance and reference for the cascade utilization concerning decommissioned batteries.In the research revolving electric bus power consumption and its optimal dispatching and operation,aiming at the forecasting model of electric bus power consumption,the factors affecting electric bus power consumption are quantitatively analyzed based on similar day selection and grey relational analysis.Then,the prediction model of adaptive wavelet neural network is established.For the optimal dispatching and operation of electric bus,the electric bus is established.The optimal dispatching operation model with the lowest charging cost for buses.Finally,an example is given to validate the proposed evaluation model,which provides a reference for the future large-scale access of electric buses to the grid and the charging load forecasting and operation scheduling of electric buses.
Keywords/Search Tags:Evaluation of decommissioned power batteries, Design of energy gathering structure, Optimal configuration of charging station, Prediction of buses's power consumption, Optimal dispatching of electric buses
PDF Full Text Request
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