A new peer reviewed study published in the Society of Automotive Engineers 2015 World Congress quantifies the flexibility for electric vehicles (EVs) to respond to demand response (DR) events. Within this study, a smart charging controller was developed and integrated into V2G-Sim to explore the flexibility for EVs to respond to DR signals. The smart charging controller considers the individual mobility needs of each driver/vehicle to decide whether the vehicle can respond to demand response events.
Using the new controller algorithm, different DR events were simulated for a collection of over 3,000 vehicles to explore the magnitude of EV charging loads that could be reduced without adversely affecting the mobility needs of drivers. DR events were simulated to occur at a variety of different times during the day, and with duration spanning 1 hour, 2 hours, or 4 hours. It was found that EVs can reduce over 75% of their charging loads during a DR event without adversely affecting the mobility needs of any driver. Further, the study explored how the results may change if the travel itineraries for individual drivers were highly uncertainty. Even with substantial levels of uncertainty in travel needs, it was found that over 65% of EV charging loads could be removed during a DR event.