Explore the latest paper published by Ann Xu, ElectroTempo CEO and Co-founder

In this paper, we propose a strategy to model the required spatio-temporal charging demand from light-duty (LD) and medium- and heavy-duty (MHD) electric vehicles (EVs) using actual transportation data by mapping the demand for the required EV charging to a realistic and coordinated distribution and transmission electric grid at the predicted times of the day to study their impact on power system in a variety of load, weather and EV penetration scenarios.

This work is the first study that includes the actual weather data and transportation data with realistic and coordinated distribution and transmission grid data in a large industry-scale level study. The main goal of this study is to identify possible issues and required upgrades in the electric grid, caused by an increase in EV integration. The transmission case study is a large grid with 6717 buses over Texas footprint and the distribution grid is over Houston, a city in Texas, covering over 3 million customers. The resulting overloads and voltage violations experienced in the system are discussed and required planning upgrades to avoid these issues are suggested.