Assessment of high-gain quadratic boost converter with hybrid-based maximum power point tracking technique for solar photovoltaic systems

Abstract Solar photovoltaic (SPV) modules have a low output voltage and are load-dependent. Therefore, it is critical that the SPV system has an adequate DC–DC converter to regulate improve get maximum voltage. To meet load requirements, must be increased, necessitating use of energy-efficient power electronic converters. The performance coupled high-gain quadratic boost (HG-QBC) with investigated in this paper. suggested HG-QBC for at lower value duty ratio provides high gain factor four times. An analytical comparison carried out various existing converters terms components factor. issue locating generation point from crucial. As result, choosing appropriate tracker (MPPT)-based technique obtain peak under rapidly varying atmospheric conditions vital. determine highest system, hybrid-based MPPT neural network assisted by perturb observe (P&O) proposed. For HG-QBC, proposed traditional P&O-based illustrated. comparative analysis takes into account rise time, settling time ripples. characteristics model analysed constant irradiation using MATLAB®/Simulink®. results show oscillations minimum fewer ripples 0.20% 1.2 s other two techniques.