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ANFIS Based Maximum Power Point Tracking Method for Photovoltaic System Using a Two-Phase Interleaved Boost Converter


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DOI: https://doi.org/10.15866/ireaco.v8i6.7787

Abstract


This paper presents Maximum Power Point Tracking (MPPT) method for Photovoltaic (PV) system based on ANFIS using A Two-Phase Interleaved Boost Converter (IBC). The proposed system has 2 inputs and 1 output. The two inputs of the proposed system consist of solar irradiance and temperature. Meanwhile, the output is a duty cycle. The duty cycle is used to generate Pulsed Width Modulation (PWM), which serves to activate MOSFET. Furthermore, the proposed ANFIS features 20 epochs and utilizes hybrid mechanism to train data. Some simulations of IBC combined with PV system have been performed using Matlab/SIMULINK. Furthermore, some comparisons of two different methods have been carried out to validate the results. The comparison analysis results indicate that the system using ANFIS can obtain higher voltage than the system using FLC. In addition, the proposed system is also able to reduce overshoot and be able to increase the output power.
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Keywords


Adaptive Neuro Fuzzy Inference System; Fuzzy Logic Controller; Two-Phase Interleaved Boost Converter

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References


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