WSCC Based Grid Aware Dataset of Electric Vehicle Charging Transcations

A novel grid-aware data set of EV charging sessions for V2G simulation and research. The data set presented in this paper is derived from existing public real world data sets of Palo Alto City EVCS Data and Boulder City EVCS Data which have been integrated and restructured based on commonalities in grid structure, ensuring consistency and completeness for accurate modeling of EV impacts on the grid. The data set is sufficiently large in aspects of its timeline, involved infrastructure, user behaviour, quantity and quality of charge records. This enables a comprehensive analysis from the perspectives of the EV charger, the user, and, most importantly, the grid. It includes detailed identification information and location categories, which provide valuable insights into EV mobility behaviors, such as charging location, time, level, and duration.