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Maximum Power Point Tracking (MPPT) is a widely used controlling technique for extracting more power from solar cells of PV modules. This work intends to model a new “passive fractional-order proportional-integral-derivative (PFoPID) controller” for PV inverter by reshaping energy, such that the MPPT is achieved via P&O system under varied atmospheres. As per the passivity concept, storage associated with the DC-link current, voltage, and q-axis current is modeled for a PV system and they are examined systematically. In this work, the residual energy is reshaped by the PFoPID controller, where the controlling parameters are tuned optimally by Grey Wolf Optimization with Self-adaptiveness (GWO-SA) approach. Finally, evaluation is performed for substantiating the efficiency of the GWO-SA based PFoPID controller over other controllers.

Optimized PFoPID Control Design of Grid Connected PV Inverter for MPPT