Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4057
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dc.contributor.authorNayak, Jeeban Kumar-
dc.contributor.authorGhosh, Arnab-
dc.contributor.authorGurugubelli, Vikash-
dc.date.accessioned2023-08-22T05:08:29Z-
dc.date.available2023-08-22T05:08:29Z-
dc.date.issued2023-08-
dc.identifier.citationIEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT), ITER, Siksha 'O' Anusandhan, 09-12 August 2023en_US
dc.identifier.urihttp://hdl.handle.net/2080/4057-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractWhen 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.en_US
dc.subjectMaximum Power Point Trackingen_US
dc.subjectP&O methoden_US
dc.subjectDC-DC Boost Converteren_US
dc.subjectFuzzy Logic Controlleren_US
dc.titleMaximum Power Point Tracking using Type-I Fuzzy Logic Controller in P-V systemen_US
dc.typeArticleen_US
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