A Parameter Extraction Based on PSO for A Signal PV Module Using MATLAB

Nashoor H., YAHYA H., Aldababsa M., Amer A., Abusuilik S.

1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022, Zarqa, Jordan, 6 - 08 December 2022, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/eiceeai56378.2022.10050480
  • City: Zarqa
  • Country: Jordan
  • Keywords: MATLAB, particle swarm optimization (PSO), Single-Diode models (SDMs), solar cell
  • Istanbul Gelisim University Affiliated: Yes

Abstract

High-performance solar cells are developing due to the global trend toward solar energy. It is worth modeling solar cells and identifying their parameters accurately. Single-diode models (SDMs) have been put forth for solar cells. In this model, several parameters are not determined, and different approaches have been put forth in the literature to determine their ideal values. However, particle swarm optimization (PSO) has been recently proposed as an efficient algorithm to estimate the solar systems' model parameters. Additionally, it assists researchers in enhancing the previously proposed algorithms. In this work, the PSO algorithm has been implemented in a MATLAB environment to verify the correctness of analytical and experimental results.