Wavelet-Hybridized NeuroFuzzy Feedback Linearization based Control Strategy for PHEVs Charging Station in a Smart Microgrid

The research article presents an advanced controlled charging station (CS) for plug-in hybrid electric vehicles (PHEVs) in a grid-coupled microgrid. The proposed control scheme mitigates intense load surges caused by the charging of PHEVs during peak-load demand. Morlet wavelet-based full recurrent NeuroFuzzy structure is employed to design an adaptive feedback linearization control(FBL-FRANF-Mor-WC) that relieves the stressed power system and ensures its stable operation. The effectiveness of the FBL-FRANF-Mor-WC scheme is endorsed for different modes of operation of a CS and various types of connected PHEVs. The control scheme is benchmarked against conventional PID control and adaptive PID control that validates its effectiveness in the smooth operation of grid-connected PHEVs charging station.