DYNAMIC SCHEDULING OF ELECTRIC VEHICLE BIDIRECTIONAL CHARGING

An exemplary system comprises a memory that stores and a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise an optimizing component that generates a fleet-level solution for maintaining a vehicle-to-grid (V2G) system by a fleet of electric vehicles (EVs), and a scheduling component that constructs a schedule for bidirectional charging of a portion of the fleet by disaggregating the fleet-level solution based on a multi-class classification resulting from an execution of a quantum algorithm, based on a covariant quantum kernel, on a quantum system. In one or more embodiments, the multi-class classification comprises classes of charging, discharging, and no bidirectional charging.