Open AccessAnalysis and Implementation of Fuzzy Control for the MPPT Based PV Systems
Author(s) -
Sarab Al-Chlaihawi,
Ashwaq N. Hassan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1973/1/012012
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , matlab , computer science , maximum power principle , fuzzy logic , controller (irrigation) , control engineering , engineering , control (management) , electrical engineering , voltage , inverter , artificial intelligence , operating system , agronomy , biology
In a photovoltaic system, electronic transducer control is highly essential for sufficient use of solar systems. The present article suggests to modify the Perturb and Observe MPPT (i.e., Maximum Power Point Tracking) with a fog controller to control a DC-DC impulse converter in a photoelectric system under shade and variable cases of the weather. The present study includes a proposal of a different method to the MPPT from a photovoltaic (PV) system for the purpose of obtaining the maximal power from a photovoltaic system. In the traditional approaches, the capability of the tracking includes the power output fluctuations. The modelling and simulation of the PV system with the suggested algorithm has been performed with the use of the MATLAB/SIMLINK software. The model results of the simulation show that the Per-turb and Observe (P&O) based fuzzy control algorithm has been considered as a fast transient state, with fewer and smooth fluctuations in the power signal generated.