Novel Planning Approach for Fast-charging Station in Integrated System

A promising way to boost popularity of electric vehicles (EVs) is to properly layout fast charging stations (FCSs) by jointly considering interactions among EV drivers, power systems and traffic network constraints. This paper proposes a novel sensitivity analysis-based FCS planning approach, which considers the voltage sensitivity of each sub-network in the distribution network and charging service availability for EV drivers in the transportation network. In addition, energy storage systems are optimally installed to provide voltage regulation service and enhance charging capacity. Simulation tests conducted on two distribution network and transportation network coupled systems validate the efficacy of the proposed approach. Moreover, comparison studies demonstrate the proposed approach outperforms a Voronoi graph and particle swarm optimization combined planning approach in terms of much higher computation efficiency.

Automated summary

This paper proposes a novel sensitivity analysis-based approach for planning fast charging stations, taking into account interactions among EV drivers, power systems, and traffic network constraints. The installation of energy storage systems enhances charging capacity and provides voltage regulation service. The proposed approach demonstrates higher computation efficiency compared to alternative methods.