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      Implementation of high step-up power converter for fuel cell application with hybrid MPPT controller

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          Abstract

          As of now, there are multiple types of renewable energy sources available in nature which are hydro, wind, tidal, and solar. Among all of that the solar energy source is used in many applications because of its features are low maitainence cost, less human power for handling, a clean source, more availability in nature, and reduced carbon emissions. However, the disadvantages of solar networks are continuously depending on the weather conditions, high complexity of the solar energy storage, and lots of installation place is required. So, in this work, the Proton Exchange Membrane Fuel Stack (PEMFS) is utilized for supplying the power to the local consumers. The merits of this fuel stack are high power density, ability to work at very less temperature values, efficient heat maintenance, and water management. Also, this fuel stack gives a quick startup response. The only demerit of PEMFS is excessive current production, plus very less output voltage. To optimize the current supply of the fuel stack, a Wide Input Operation Single Switch Boost Converter (WIOSSBC) circuit is placed across the fuel stack output to improve the load voltage profile. The advantages of the WIOSSBC are less current ripples, uniform voltage supply, plus good voltage conversion ratio. Another issue of the fuel stack is nonlinear power production. To linearize the issue of fuel stack, the Grey Wolf Algorithm Dependent Fuzzy Logic Methodology (GWADFLM) is introduced in this article for maintaining the operating point of the fuel cell near to Maximum Power Point (MPP) place. The entire system is investigated by utilizing the MATLAB software.

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          Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology

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            Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

            Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.
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              Polymer electrolyte membrane fuel cell and hydrogen station networks for automobiles: Status, technology, and perspectives

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                Author and article information

                Contributors
                dhanamjayulu.c@vit.ac.in
                a.elrashidi@ubt.edu.sa
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 February 2024
                9 February 2024
                2024
                : 14
                : 3342
                Affiliations
                [1 ]GRID grid.444321.4, ISNI 0000 0004 0501 2828, NITTE Meenakshi Institute of Technology (Autonomous), ; Banglore, India
                [2 ]Sri Venkateswara College of Engineering (Autonomous), Tirupati, AP India
                [3 ]GRID grid.412813.d, ISNI 0000 0001 0687 4946, School of Electrical Engineering, , Vellore Institute of Technology, ; Vellore, Tamil Nadu India
                [4 ]Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, ( https://ror.org/00mzz1w90) Alexandria, 21544 Egypt
                [5 ]Electrical Engineering Department, University of Business and Technology, ( https://ror.org/05tcr1n44) Ar Rawdah, 23435 Jeddah, Saudi Arabia
                [6 ]Engineering Mathematics Department, Faculty of Engineering, Alexandria University, ( https://ror.org/00mzz1w90) Alexandria, 21544 Egypt
                Article
                53763
                10.1038/s41598-024-53763-0
                10858035
                38336945
                a601aac8-710e-48a7-9ea9-6dc4691b6d03
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 December 2023
                : 5 February 2024
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                boost dc-dc circuit,conversion of voltage,duty cycle,fast tracing speed,few oscillations of voltage,good dynamic response,plus more efficiency,energy science and technology,engineering

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