STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Power Electronics and Power Systems

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

  1. Devendra Kumar Verma
  2. Varun Kumar
  3. Y. K. Chauhan

Abstract

Over the last ten years, there has been an increasing demand for the electrical powersupply. The installation of power generators (PGs) is expensive and time-consuming. Solar powerplants are therefore thought to be a practical substitute for supplying the present demand forelectricity. The primary challenges with solar plants, however, are output power balancing andcritical maintenance. A proper technique is needed to lessen output power balance andmaintenance 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 totrack maximum power. An artificial neural network (ANN) serves as the foundation for therecommended MPPT method. A source inverter and a separate converter are used to link thehybrid PV and WES systems to the grid.
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