Active Disturbance Rejection-Based Model Predictive Control to Improve Power Quality with Reduced Current Sensors in EV Charging Stations

This paper proposes an active disturbance rejection (ADR)-based model predictive control (MPC) strategy to enhance power quality in electric vehicle charging stations (EVCS) with a reduced number of current sensors. The presented approach compensates for local load current harmonics and reactive power without the need for harmonic extraction, simplifying the control structure. By relying on current measurements only at the grid side, the method eliminates the need for additional sensors in the load or converter of the EVCS. Load current dynamics are considered as disturbance terms, then are rejected using the ADR technique. The proposed converter system simultaneously improves the grid’s power quality and fulfills its primary function of charging EVs. Simulation results validate the effectiveness of the approach, demonstrating enhanced power quality performance and robust disturbance rejection.