NOVEL SOLAR PHOTOVOLTAIC EMULATION FOR VALIDATING THE MAXIMUM POWER POINT ALGORITHM AND POWER CONVERTER

Authors

  • SUNDARAM MEENAKSHI ULAGANATHAN P.S.R Engineering College, Tamilnadu, India Author
  • RATHINAM MUNIRAJ P.S.R Engineering College, Tamilnadu, India Author
  • RADHAKRISHNAN VIJAYANAND Nagarjuna College of Engineering and Technology, Bengaluru, India Author
  • DURAIRAJ DEVARAJ Kalasalingam Academy of Research and Academy, India Author

DOI:

https://doi.org/10.59277/RRST-EE.2023.4.14

Keywords:

Neural networks, Solar array emulator, Diode-based solar array emulator, Programmable dc power source, Perturb and observe maximum power point algorithm

Abstract

The photovoltaic (PV) source emulator plays an essential role in evaluating the performance of solar PV arrays, maximum power point (MPPT algorithms), power converters, and control algorithms in the rapidly growing field of solar power generation. This paper presents a novel neural network (NN)--based solar array emulator (SAE) for emulating PV array dynamic characteristics. The proposed SAE reference model, developed using NN, replicates PV array characteristics with a programmable dc power source's support under varying environmental conditions. A 640 W stand-alone PV system is designed and tested using the proposed SAE to validate its performance under various environmental conditions. The performance of the NN-based SAE with the MPPT algorithm is evaluated and compared to the conventional diode-based SAE. The results showed that the proposed NN-based SAE had good accuracy in emulating the dynamic characteristics of the PV array and was faster in execution than the conventional diode-based SAE. The output results of the developed NN-based SAE demonstrate its potential for evaluating MPPT algorithms and power converters.

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Published

14.12.2023

Issue

Section

Électronique et transmission de l’information | Electronics & Information Technology

How to Cite

NOVEL SOLAR PHOTOVOLTAIC EMULATION FOR VALIDATING THE MAXIMUM POWER POINT ALGORITHM AND POWER CONVERTER. (2023). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 68(4), 407-412. https://doi.org/10.59277/RRST-EE.2023.4.14