An Intelligent MPPT Technique based on Fuzzy Controller Applied to Grid-Connected PV Systems in Temperature Fluctuations

Maximum power point tracking (MPPT) performs an essential part in harnessing the maximum power output from photovoltaic (PV) generators, regardless of fluctuations in temperature and irradiation conditions. This makes MPPT essential for maximizing the efficiency of PV systems. The boost converter handles increasing the PV DC voltage. Numerous MPPT algorithms are used to control these trackers, and one such technique is the fuzzy logic controller (FLC). The FLC can adapt to changes in environmental conditions and system parameters like temperature and Solar radiation, which can affect the performance of traditional control strategies. Consequently, fuzzy-logic-based MPPT control offers improved performance and higher efficiency in grid-connected PV systems (GCPV), mainly when operating conditions vary. To prove the benefits of this approach compared to Incremental Conductance (IC) under normal temperature conditions, GCPV is modeled using the MATLAB program.