Electric Vehicle Centralized Charging Station Siting and Capacity Modeling
The existing electric vehicle charging station have some problems such as blind construction of single mode for charging and exchanging,low resource utilization rate,and part of the charging demand cannot be met due to the lack of centralized planning.This paper proposes a centralized charging station siting and capacity selection method which considers multiple charging modes such as charging,exchanging and mobile charging.First,the charging behavior characteristics of different types of electric vehicles are analyzed,and the charging demand distribution in the planning area is simulated.Based on the principle of nearest distance,the queuing theory method is used to calculate the charging loss cost of electric vehicles,optimize the self-charging moments of mobile charging equipment,and obtain the self-charging cost of electric vehicles.Then,a site selection and capacity model is developed with the objective function of minimizing the total sum of maintenance cost,user loss cost and equipment self-charging cost.A genetic algorithm is used to solve the model to determine the number of centralized charging stations in the planning area,their locations and the number of different equipment configurations,combining with part of the actual road network of a city as the study area.The results show that:the total cost of constructing eight centralized charging stations in the planning area are the lowest.The number of vehicles with charging demand and the change of charging power have a large impact on the cost of centralized charging stations.The optimization of self-charging scheduling management of mobile charging equipment can reduce the grid load of centralized charging stations in the peak period by 32.62%,which improves the stability of the power grid.
traffic engineeringcharging station siting and capacitygenetic algorithmcentralized changing stationelectric vehiclemobile charging
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