An Event-Triggered Dynamic Consensus-Based Adaptive Electric Vehicles Fast Charging Control in an Isolated Microgrid

Latest standards for DC fast charging (DCFC) stations enable up to 900 kW of charging power per Electric Vehicle (EV). Unfortunately, for a limited-capacity isolated Microgrid (MG), this high amount of power may lead to MG instability. In this research, a fully distributed event-triggered Dynamic Consensus (DNC) technique is proposed for controlling DCFC fast charging process. The proposed control determines a proper charging rate considering the estimated real-time sparse capacity of the MG. Meanwhile, a safety factor is used to account for the system losses, demand growth, and sparse capacity estimation error. Moreover, the admissible Communication (COM) delay effect is evaluated. The control scheme is validated using a MATLAB/Simulink model. Different case studies with different conditions were simulated. The simulated cases show success of the proposed control strategy to have successful fast vehicle charging under different operating conditions without loss of stability.