Performance Optimization of a Photovoltaic Generator with an Active Power Filter Application

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Maximum Power Point Tracking (MPPT) for photovoltaic (PV) systems maximizes the power that can be transferred from the PV system to an electrical system here we use the active power filter. To maximize the PV panel output power, perturb and observe (P&O) maximum power point tracking (MPPT) has been implemented into the PV system. Through a boost DC-DC converter, for rapidly changing solar irradiance the (P&O) method is unable to carry out the maximums power point values. This paper presents an intelligent method for the purpose of MPPT, based on fuzzy logic controller (FLC), and applied to a converter circuit. The fuzziness determines the size of the perturbed voltage when there is a rapid changing in solar irradiation. A control scheme is presented which allows better control of the converter current reference using voltage and current from the PV system as inputs to the MPPT perturb and observes method. The performance of the proposed FLC is tested by simulation and the results show that the FLC is faster in finding the maximum power point than the conventional perturbation and observation method. In order to avoid the problems and difficulties of regulation and variation of the DC bus due to losses in the active power filter (transistors and the output filter), a constant voltage on the DC side of the inverter was proposed, it is a photovoltaic generator which is used to ensure constant amount of power force required to maintain the DC voltage side around its reference value
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Photovoltaic; PV System; MPPT; Fuzzy Logic; Perturb & Observe

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