Hybrid fuzzy and fire fly algorithm-based MPPT controller for PV system using super lift boost converter

Published

26-09-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.09

Keywords:

Simplified firefly algorithm, Maximum power point tracking, PV

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Issue

Section

Research article

Authors

  • Manikannan Palanivel Department of Electrical and Electronics Engineering, AKT Memorial College of Engineering and Technology, Kallakurichi, Tamil Nadu, India
  • Alaudeen A 1Department of Electrical and Electronics Engineering, AKT Memorial College of Engineering and Technology, Kallakurichi, Tamil Nadu, India
  • Pandiyan K. S Department of Electrical and Electronics Engineering, AKT Memorial College of Engineering and Technology, Kallakurichi, Tamil Nadu, India
  • Sivaprakasam P Department of Electrical and Electronics Engineering, AKT Memorial College of Engineering and Technology, Kallakurichi, Tamil Nadu, India

Abstract

This study suggests a new simplified firefly algorithm (SFA) for maximum power point tracking (MPPT) of the solar system under conditions of partial shadowing. The disregarded and coefficients are present in the simplified firefly method, which is different from the regular firefly algorithm. The updated β coefficient for each iteration step is the second new feature, which helps to accelerate convergence. This approach is suggested to find the best PV system MPPT solution for three different shaded circumstances. The proposed method produced results with the highest possible power and efficiency. The ripple performed better than the conventional FA under steady-state conditions. The suggested algorithm’s key advantages over the conventional firefly algorithm are its simplicity, quicker convergence, and accuracy.

How to Cite

Palanivel, M., A, A., S, P. K., & P, S. (2023). Hybrid fuzzy and fire fly algorithm-based MPPT controller for PV system using super lift boost converter. The Scientific Temper, 14(03), 625–628. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.09

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