Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4057
Title: Maximum Power Point Tracking using Type-I Fuzzy Logic Controller in P-V system
Authors: Nayak, Jeeban Kumar
Ghosh, Arnab
Gurugubelli, Vikash
Keywords: Maximum Power Point Tracking
P&O method
DC-DC Boost Converter
Fuzzy Logic Controller
Issue Date: Aug-2023
Citation: IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT), ITER, Siksha 'O' Anusandhan, 09-12 August 2023
Abstract: When it comes to increasing the effectiveness of photovoltaic systems, maximum power point tracking (MPPT) is of the utmost significance. There are a variety of strategies that have been put forward in order to maximize the amount of electricity that can be generated by photovoltaic modules regardless of the climate. The purpose of this study was to suggest an intelligent technique for monitoring the highest power point using a Type-I Fuzzy Logic Controller (FLC). A photovoltaic solar generator that is connected to a DC-DC Boost converter makes up the entirety of this device. The MATLAB/simulation results show that the proposed maximum power tracker tracked maximum power precisely and effectively in all conditions tried. The proposed method outperforms the conventional methods such as P&O, INC, Voltage reference, Current reference methods etc. in tracking efficacy and reaction time.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/4057
Appears in Collections:Conference Papers

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