A comparative study of a PV-MPPT grid-integrated system under different control techniques

In this paper, fuzzy logic (FL) and fuzzy neural (FN) networks are introduced and implemented as maximum power point tracking (MPPT) algorithms. Using a case study of a photovoltaic cell with a boost converter, the merits and demerits of these techniques are highlighted against traditional MPPT techniques, namely the Perturb and Observe (P&O) and the Incremental Conductance (IC) techniques. The four methods are simulated using the software package EMTP-RV and their performance is compared under various operating conditions. The results of this comparative study are presented to guide the hardware design in the solar industry as a futuristic approach.