An Evaluation of a medium-power Grid- Integrated Solar Photovoltaic System MPPT Energy Capturing Capability Using ANN

Authors

  • Vijaychandra Joddumahanthi Lendi Institute of Engineering and Technology
  • Vedaprakash Kakinada Lendi Institute of Engineering and Technology
  • Vanajakshi Bammidi Lendi Institute of Engineering and Technology
  • Łukasz Knypiński Poznan University of Technology

Abstract

Technologies centered around renewable energy are now feasible options for providing everyone with quick and dependable access to electricity. Solar energy, in which photovoltaic (PV) cells can convert directly into electricity, is one of the most efficient renewable energy sources. The sun irradiation and temperature are the two factors that affect how much power photo voltaic systems can produce. In order to increase power, maximum power point tracking techniques have been developed and applied to PV systems. The proposed model was trained on a total of 1000 datasets containing information on voltage, temperature, and sun irradiation. Training, validation, and testing are the three categories into which the data are divided. The Artificial Neural Network (ANN) model was compared with the classical method like the perturb and observe method (P&O).

Additional Files

Published

2025-07-09

Issue

Vol. 71 No. 3 (2025)

Section

Control, Automation and Robotics

License

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