Zhou, Jiazu (Singapore-ETH Centre), Yean, Seanglidet (Singapore-ETH Centre), Dong, Tianyu (Singapore-ETH Centre), Lee, Bu Sung (Nanyang Technological University), Schläpfer, Markus (Columbia University)

Estimating Electric Vehicle Charging Demand and Its Impact on the Power Grid Using Mobile Phone Data

Scheduled for presentation during the Regular Session "Electric Vehicles - Charging and Scheduling II" (FrAT3), Friday, September 27, 2024, 10:30−10:50, Salon 6

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 8, 2024

Abstract

New electricity demands from electric vehicle (EV) charging introduce significant challenges to the power supply infrastructure. This paper introduces a methodology for modeling the spatial-temporal EV charging demand by leveraging mobility data. The detailed individual mobility patterns extracted from these data enable the simulation of the district-level EV charging demand profiles. Further, by incorporating non-EV demand (e.g., household consumption) data, we also identify critical areas that require grid expansion to accommodate this new demand. Our study contributes to the understanding of the spatial-temporal vehicle-grid interactions, laying the groundwork for the development of EV charging strategies.