Impact of Electric Vehicles Charging on the Resilience of Urban Power Systems

Electric Vehicle (EV) adoption is surging globally, with sales accelerating as battery costs fall and consumer awareness increases. This has led to an increase in the demand for EV charging, which brought a significant impact on the resilience and stability of power systems. This paper aims to characterize the impact of EV charging on the resilience of regional power systems. Firstly, we analyze EV charging patterns in Shanghai using high-resolution data from 2,000 EVs, shedding light on the temporal variations in charging behavior. Secondly, Gaussian Mixture Models (GMM) are employed to identify peak charging times, and K-Means clustering is used to categorize subdistricts based on charging patterns. Our research reveals three typical charging patterns and then we calculate the resilience indicators including load shift and voltage shift in the power systems, providing significant information for future plan.