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Modeling and Simulation of a Hybrid Solar-Wind System with Adaptive Neural Network MPPT Control in MATLAB/SIMULINK

Devendra Kumar Verma, Varun Kumar, Y. K. Chauhan

Abstract


Over the last ten years, there has been an increasing demand for the electrical power
supply. The installation of power generators (PGs) is expensive and time-consuming. Solar power
plants are therefore thought to be a practical substitute for supplying the present demand for
electricity. The primary challenges with solar plants, however, are output power balancing and
critical maintenance. A proper technique is needed to lessen output power balance and
maintenance issues in solar facilities. For hybrid photovoltaic (PV) and wind energy systems
(WES), this research suggests a novel single maximum power point tracking (MPPT) technique to
track maximum power. An artificial neural network (ANN) serves as the foundation for the
recommended MPPT method. A source inverter and a separate converter are used to link the
hybrid PV and WES systems to the grid.


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DOI: https://doi.org/10.37591/.v13i2.7586

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