Abstract
In order to enable the limited charging stations in the road network to meet as many demands as possible, and to give full play to the advantages of electric vehicles in changing the energy consumption structure and reducing greenhouse gases, a dualobjective charging station optimization problem is proposed. The paper uses the shortest path and the next-shortest path to describe the traffic flow factors in the traffic network. The goal is to maximize the traffic flow intercepted by the charging station, minimize the investment cost of the charging station and minimize the node voltage offset, and establish electric vehicle charging Station multi-objective planning model. The results prove the effectiveness of the proposed method and provide decision support for enterprises to scientifically and reasonably select the location of charging stations.
Published Version
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