Impact of Core Charging Station's Cease Operation in the Entire Charging Station System: A Case Study in Shenzhen

As the rapid development of Electric Vehicles (EV), how to strategically deploy charging stations becomes an emerging and challenging question to EV communities. However, the cease operation of charging stations and the consequent impacts have been discussed little. In this paper, by analyzing a large scale electric taxi GPS data, we make the first attempt to investigate this problem. A case in Shenzhen is analyzed in this paper, where a core charging station ceases operation due to the security consideration, offering us a real situation. We develop a regression model to predict load increments of charging stations based on the analysis of EV taxi drivers' recharging behavior patterns. Based on the model, an allocation strategy of charging resources is proposed to minimize the average waiting time at charging stations, and maximize the charging resources utilization at the same time. To evaluate the performance of our proposed strategy, we conduct experiments on half-year real EV taxi GPS data. The evaluation results demonstrate that our suggested strategy can achieve a 32%-88% reduction rate on average waiting time at charging stations, over baseline methods. Moreover, our strategy can perform better in charging resources utilization.