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Comparative analysis of various global maximum power point tracking techniques for fuel cell frameworks

Mohammad Junaid Khan, Rashid Mustafa, Pushparaj Pal

Abstract


The efficiency and performance of fuel cell (FC) systems heavily rely on their ability to track the maximum power point (MPP) of the FC stack. This research article presents a comprehensive review and comparative analysis of various global maximum power point tracking (GMPPT) techniques developed for FC systems. These techniques aim to optimize power extraction from FCs, enhance system efficiency, and improve overall performance. Through a detailed investigation and evaluation of different GMPPT methods, this study sheds light on the advancements made in this field, identifies key challenges, and provides recommendations for future research directions. The findings of this research contribute to the development of more efficient and reliable FC systems for diverse applications.


Keywords


FC systems; GMPPT techniques; perturb and observe (P&O); incremental conductance (INC); hill climbing search (HCS); fractional open-circuit voltage (FOCV); artificial intelligence (AI); neural network (NN); fuzzy logic control (FLC); genetic algorithm (GA

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References


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DOI: https://doi.org/10.32629/jai.v6i2.703

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Copyright (c) 2023 Mohammad Junaid Khan, Rashid Mustafa, Pushparaj Pal

License URL: https://creativecommons.org/licenses/by-nc/4.0