PFoPID CONTROL DESIGN OF GRID-CONNECTED PV INVERTER FOR MPPT USING HYBRID ALGORITHM

This paper aims to model a novel "passive fractional-order proportional-integral-derivative (PFoPID) controller" for photovoltaic (PV) inverter via reshaping energy, in such a way that the MPPT is attained through P&O system under diverse atmospheric states. Depending on passivity concept, storage, related to the DC-link current and DC-link voltage, in addition to q-axis current is initially build-up for a PV system, where every variable will be examined systematically when the advantageous terms are retained carefully so as to exploit the features of PV system. Here, the residual energy is reshaped by the FoPID control model, where the control constraints are optimally tuned by a new hybrid algorithm, which hybrids the concept of Cat Swarm Optimization (CSO) and Firefly Algorithm (FF), so that a finest controlling performance could be attained. As both the concepts of FF and CSO are included, the adopted model is known as Combined FF-CSO scheme (CFF-CSO).