The work presented in this study aims to develop an intelligent algorithm, based on fuzzy logic, to track the maximum power point (MPP) of a photovoltaic (PV) panel. Modelling and simulation steps of the PV panel are made by using the MATLAB/Simulink environment, before passing to the description of fuzzy logic MPP tracking (MPPT) algorithm. On an Arduino Mega 2560 controller board, a real-time implementation of the MPPT algorithm by using Simulink Support Package for Arduino Hardware in MATLAB/Simulink was conducted to experimentally validate the preliminary results of simulations. The proposed work outlines also the solution to modify pulse-width modulation frequency of Arduino when it is used with Simulink.
The fuzzy logic strategies reported in the literature about the control of direct drive permanent magnet synchronous generator (PMSG) connected to grid are limited in terms of inclusiveness and efficiency. So an overall control based on fuzzy logic and anti-windup compensation is proposed in this paper. Aiming at the inadequate of hill climb search (HCS) MPPT with fixed step size, the fuzzy logic is introduced in the stage of "generating rotor speed reference" to overcome the oscillations and slowness in traditional method. PI controllers are replaced by anti-windup fuzzy logic controllers in the "machine side control" stage and in "grid side control" stage to pertinently regulate the reference parameters. Then comparison tests with classical methods are implemented under varying climatic conditions. The results obtained demonstrate that the developed control is superior to other methods in response time (less than 4.528E-04 s), precision (an overshoot about 0.41%) and quality of produced energy (efficiency is 91%). The study verifying the feasibility and effectiveness of this algorithm in PMSG wind turbine connected to grid.
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