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