Design and implementation of full bridge DC-DC converter for photovoltaic application

Chavan, Shamkumar; Chavan, Mahesh S.

doi:10.1109/icesa.2015.7503393

Cited by 4 publications

(1 citation statement)

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“…The converter is implemented as a DC voltage converter with a voltage booster type, and to adjust the value of the duty cycle so that the maximum power point (MPP) is obtained at each irradiation and temperature. The implementation of medium to high power and the ratio of the increase in the voltage ratio are characteristics that can be applied to the Full Bridge Converter [8].The converter circuit in the system is divided into two stages in converting the voltage value, namely the high-frequency switching process in a full bridge circuit giving a square AC wave to a high frequency isolated transformer on the primary side, and on the secondary side it will be rectified into a DC wave with a full bridge rectifier [9]. The use of an LC filter to reduce voltage losses before connecting to the load.…”

Section: Introductionmentioning

confidence: 99%

MPPT Full Bridge Converter using Fuzzy Type-2

Prastyawan

Efendi

Murdianto

2021

JAREE

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Renewable energy application using Photovoltaic (PV) is developed as a conversion from solar energy into electrical energy. PV produces output power according to irradiation and temperature conditions. PV has a Maximum Power Point or MPP based on P-V characteristic curve. In certain conditions, PV has an unstable output power then the accuracy of the power generated is not maximum. MPPT method with conventional control is not optimal to resolves power inaccuracies in the system. When the system has a circuit problem, the conventional power converter will be damage. To achieve accuracy and maximize PV output, the Maximum Power Point method will find MPP. Using MPPT Fuzzy Type-2 method on the converter can reliably overcome the inaccuracies and tracking speed of PV power. Full Bridge Converter topology is used as a safety circuit with a high-frequency isolation transformer. Implemented on MATLAB/Simulink software, Simulation results in Model 1 show that the average power accuracy with Fuzzy Type-2 is 91.40% compared to Fuzzy Type-1 with an average power accuracy of 80.64%. In Model 2, Fuzzy Type-2 is 87.63% compared to Fuzzy Type-1 of 77.93%. MPPT method using fuzzy type-2 is better than using fuzzy type-1 in terms of power accuracy.Keywords: full bridge converter, fuzzy type-2, MATLAB/Simulink, maximum power point tracking, photovoltaic.

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Section: Introductionmentioning

confidence: 99%