Research on Distribution Planning of Electric Vehicle Charging Station Based on Discrete Location Model

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Qin, Zijian^1 ; Zhang, Wenru^1 ; Yang, Peng^1 ; Li, Yunjia^1

China Dalian Maritime University, Dalian, China^1

关键词: Charging station;    Critical issues;    Discrete location;    Distribution planning;    Economic factors;    Electric vehicle charging;    Influence coefficient;    Vehicle charging;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032164/pdf
DOI  :  10.1088/1755-1315/252/3/032164

来源: IOP

【 摘 要 】

For both environmental and economic factors, an increasing of countries begins to focus on electric vehicles (EV). As the EV industry continues to evolve, how to establish enough vehicle charging stations in the right locations is a critical issue. This paper proposes discrete location models to solve the above problems. In order to minimize the cost of building charging stations and to minimize the user's toll costs, a multi-factor discrete location model is built. Using this model, the distribution of charging stations is simulated in Colorado State and Ireland when implementing an all-electric vehicle system. And influence coefficient is added to simulate the impact of new technologies on EV. Through sensitivity analysis, car-share and ride-share services have a negative impact on the number of EV, and increase the time that EV reaches saturation.