Agent-Based Modeling Of Urban Residential Electricity Demand Incorporating EV Charging Behavior

By 2050, electric vehicles (EVs) are expected to be 40% of all cars on the road. In some countries like Norway, more than 90% of the new cars sold are electric. This rise in EVs presents challenges to the current electricity infrastructure to meet this rapid increase in electricity demand. In this study, we simulate urban residential electricity demand using an agent-based model to investigate the effects of EVs’ charging behavior on the electricity demand profile and how using smart charging behavior helps in reducing the peak demand pressure. The simulation results of different scenarios show how it can be effective to schedule the charging time in the off-peak.