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The Battery Charging And Battery Swapping Optimization Dispatching Strategies Of Electric Bus Clusters

Posted on:2023-02-25Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z L CaiFull Text:PDF
GTID:1522307115476904Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The electric bus has advantages such as low carbon and environmental protection,and electrification of bus is an inevitable trend for future development.However,the peak load caused by the concentrated high-power uncoordinated charging of electric bus clusters will lead to overload of transformers and lines,which has adverse effects on the safe and stable operation of the distribution network.Therefore,it is of great significance to research the coordinated battery charging and battery swapping problem.The battery charging strategies,the battery swapping strategies and operation dispatching strategies of the electric bus clusters are two highly coupled issues.At present,the two issues are researched independently from the perspective of power grid and transportation,and the research results are difficult to meet the interest demands of both the power grid and public transportation.Based on the vehicle chain concept and combines the battery charging strategies,the battery swapping strategies and operation scheduling strategies of electric bus clusters together for research,this dissertation has achieved a series of research results.The main research work includes:1)Aiming at the problem of coordinated charging strategies of electric bus clusters with medium scale train chains,a joint refined solution model of electric bus clusters battery charging strategies and travel planning strategies are established.First,the feasible vehicle clusters satisfying the time continuity relationship and battery power constraints are generated.Then,the optimization model for the first stage of coordinated charging of the available vehicle clusters,the selection model for the optimal vehicle clusters and the optimization model for the second stage of coordinated charging of the optimal vehicle chains are established in turn.Finally,the effectiveness of the model and algorithm is verified through a simulation case.2)Aiming at the electric bus regional scheduling problem with large-scale vehicle chains,a set partition model of electric bus regional scheduling plan is established.By combining the column generation algorithm with the branch and bound algorithm,a branch pricing algorithm is designed to solve the model,and the optimal vehicle chains sets with the least vehicle clusters are obtained.With the constraints of minimum charging cost and minimum charge load fluctuation,two optimization models of coordinated charging strategies for establishing the optimal vehicle clusters are established.The corresponding optimization algorithm program is compiled,and the effectiveness of the model and algorithm is verified through a simulation case.3)Aiming at the idea of "battery swapping as the main and plug-in as the auxiliary" proposed by the State Grid Corporation of China,a joint solution model of battery swapping strategies and operation dispatching strategies of electric bus clusters for battery swapping operation are established.First,the matching model between the battery pack and the battery swapping demand is established.According to the characteristics of the model,an improved genetic algorithm is established to solve the model.Secondly,the coordinated charging strategies model of the battery pack is established.Finally,the corresponding optimization algorithm program is compiled,and the effectiveness of the model and algorithm is verified through a simulation case.4)Aiming at the problems of coordinated battery swapping strategies of electric bus clusters under actual traffic conditions,a low-carbon economic dispatching model of electric bus clusters for battery swapping operation is first established.According to the characteristics of the model,a hybrid particle swarm optimization algorithm is proposed to solve the model.The running time of each train is obtained through the depth learning algorithm,which solves the problem of obtaining the running time of the train and improves the accuracy of the model.Secondly,with the goal of minimizing the fluctuation of charging load,the battery charging strategies model of the battery pack is established.Finally,the corresponding algorithm and model program are compiled,and the effectiveness of the model and algorithm is verified by simulating the formulation of coordinated battery swapping strategies of an actual electric bus clusters.Through the in-depth research on the battery charging strategies and battery swapping strategies for electric buses mentioned above,the problem of the battery charging strategies,the battery swapping strategies and the operation scheduling strategies of electric bus clusters has been solved.The research results have important reference value for improving the economic efficiency of electric bus operation,reducing charging costs,and reducing charging load fluctuations.At the same time,they also have certain reference significance for the formulation of charging and swapping strategies for other types of electric vehicles.
Keywords/Search Tags:electric bus clusters, vehicle chain, battery charging and battery swapping strategies, operation dispatching strategies, intelligent optimization algorithm
PDF Full Text Request
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