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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2023_IEEE-SEFET_JKNayak_Maximum.pdf | 541.45 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.