EV充电站的布局-平衡多个实体之间的利益
Placement of EV Charging Stations --- Balancing Benefits among Multiple Entities
摘要：
研究了电动汽车普及率递增的电动汽车充电站多阶段布局问题。采用嵌套logit模型分析单个消费者（电动汽车车主）的充电偏好，并预测充电站的总充电需求。电动汽车充电行业被建模为寡头垄断，整个市场由少数充电服务提供商（寡头）主导。在每个规划阶段的开始，每个服务提供商的最优布局策略，通过分析战略的贝叶斯博弈中的相互作用。为了得到最优的布局策略，我们考虑了运输网络图和电力网络图。用Java语言开发了电动汽车虚拟城市仿真软件-电动汽车虚拟城市1.0，研究了电动汽车用户、交通网络图、电力网络图和充电站之间的相互作用。通过使用洛杉矶圣佩德罗区的地理和人口数据进行的一系列实验，我们表明充电站的位置与交通流量的热图高度一致。此外，我们观察到一个空间经济现象，服务提供商更喜欢集群，而不是分离的电动汽车充电市场。
英文摘要：
This paper studies the problem of multi-stage placement of electric vehicle (EV) charging stations with incremental EV penetration rates. A nested logit model is employed to analyze the charging preference of the individual consumer (EV owner), and predict the aggregated charging demand at the charging stations. The EV charging industry is modeled as an oligopoly where the entire market is dominated by a few charging service providers (oligopolists). At the beginning of each planning stage, an optimal placement policy for each service provider is obtained through analyzing strategic interactions in a Bayesian game. To derive the optimal placement policy, we consider both the transportation network graph and the electric power network graph. A simulation software --- The EV Virtual City 1.0 --- is developed using Java to investigate the interactions among the consumers (EV owner), the transportation network graph, the electric power network graph, and the charging stations. Through a series of experiments using the geographic and demographic data from the city of San Pedro District of Los Angeles, we show that the charging station placement is highly consistent with the heatmap of the traffic flow. In addition, we observe a spatial economic phenomenon that service providers prefer clustering instead of separation in the EV charging market.
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