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Mahajan Sagar Bhaskar

Researcher at Prince Sultan University

Publications -  151
Citations -  2800

Mahajan Sagar Bhaskar is an academic researcher from Prince Sultan University. The author has contributed to research in topics: Voltage & Boost converter. The author has an hindex of 20, co-authored 137 publications receiving 1462 citations. Previous affiliations of Mahajan Sagar Bhaskar include Aalborg University – Esbjerg & University of Johannesburg.

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An Experimental Estimation of Hybrid ANFIS–PSO-Based MPPT for PV Grid Integration Under Fluctuating Sun Irradiance

TL;DR: An adaptive neuro-fuzzy inference system–particle swarm optimization (ANFIS–PSO)-based hybrid MPPT method to acquire rapid and maximal PV power with zero oscillation tracking is introduced.
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A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions

TL;DR: The developed algorithm provides the maximum power extraction from a photovoltaic panel and simplified implementation with a benefit of high convergence velocity and the accuracy to track the optimal PV power under varying weather conditions.
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Fuzzy SVPWM-based inverter control realisation of grid integrated photovoltaic-wind system with fuzzy particle swarm optimisation maximum power point tracking algorithm for a grid-connected PV/wind power generation system: hardware implementation

TL;DR: The fuzzy space vector pulse width modulation technique provides less current harmonic content, fixed switching pattern, protection from over current, low switching losses and able to handle the non-linearities and uncertainties of the photovoltaic-wind grid integrated system.
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Survey of DC-DC Non-Isolated Topologies for Unidirectional Power Flow in Fuel Cell Vehicles

TL;DR: The state-of-the-art in unidirectional non-isolated DC-DC Multistage Power Converter (MPC) topologies for FC-VPT application is described and the suitability for different vehicular applications is stated.
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A Hybrid Photovoltaic-Fuel Cell for Grid Integration With Jaya-Based Maximum Power Point Tracking: Experimental Performance Evaluation

TL;DR: The Jaya-based MPPT method is employed to achieve fast PV tracking ability with zero deviation around maximum power point (MPP) and has accelerated searched performance in equated with particle swarm optimization (PSO) and artificial bee colony (ABC) techniques.