A novel fast maximum power point tracking for a PV system using hybrid PSO-ANFIS algorithm under partial shading conditions

摘要: It is highly expected that partially shaded condition (PSC) occurs due to the moving clouds in a large photovoltaic (PV) generation system (PGS). Several peaks can be seen P-V curve of PGS under such PSC which decreases efficiency conventional maximum power point tracking (MPPT) methods. In this paper, an adaptive neuro-fuzzy inference (ANFIS) proposed based on particle swarm optimization (PSO) for MPPT PV modules. After tuning parameters fuzzy system, including membership function and consequent part parameters, obtain (MPP), DC/DC boost converter connects array resistive load. ANFIS reference model used control duty cycle converter, so transferred Comparing method with PSO alone firefly algorithm (FA) shows its efficacy high speed MPP PSC. Due fact these algorithms have online applications, convergence time very important. The simulation results show ANFIS-based lower than 0.15 second, while it nearly three second FA