Development of V2G Simulator Considering System Uncertainty for Designing MILS

As Vehicle-to-grid(V2G) services are being actively researched, the importance of uncertainty parameters in V2G optimization is increasing. By considering the uncertainty, the aggregator can generate a more efficient and robust charging/discharging schedule for each purpose. The currently researched V2G methodologies are focused on the EV’s own, and not considered sudden events such as plug errors and communication errors. This model proposes an improved simulator by assigning EV user behavior and transient events of EV and EVCS. Furthermore, this model analyzes cost, power, and battery status by comparing general V2G schedules with uncertainty-applied schedules through loop simulation.