A novel asymmetrical FLC-based MPPT technique for photovoltaic generation system

In this paper, a novel asymmetrical fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) generation system (PGS) is proposed. The proposed method uses the power variation and voltage variation as the inputs, which significantly simplified the computation. Comparing with the conventional perturb and observe (P&O) method, the proposed asymmetrical FLC-based MPPT algorithm can improve the dynamic and steady state performance of the PGS simultaneously. Comparing with the proposed symmetrical FLC-based MPPT method, the transient time and the MPPT tracking accuracy are further improved by 38.1 % and 0.03 %, respectively.