Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems

This work presents a control scheme to grid-connected single-phase photovoltaic (PV) system. The considered system has four 250 W solar panels, non-inverting buck-boost DC-DC converter, and DC-AC inverter with an inductor-capacitor-inductor (LCL) filter. aims track operate at the maximum power point (MPP) of PV regulate voltage DC link, supply grid unity factor. To achieve these goals, proposed consists three parts: MPP tracking controller module fuzzy-based modified incremental conductance (INC) algorithm, DC-link regulator hybrid fuzzy proportional-integral (PI) controller, current using linear quadratic (LQR) for power. Based on LQR, this introduces full solution systems. key novelty research is analyze prove that newly method more successful in numerous aspects by comparing evaluating previous present methods. designed settles quickly, which critical output stability. In addition, as compared backstepping approach used our past study, LQR technique resistant sudden changes disturbances. Furthermore, produces larger overshoot, detrimental impact efficiency. Simulation findings under various weather conditions were theoretical ones indicate can deal variations parameters.