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A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems Cover

A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

Power Electronics and Drives
Volume 9 (2024): Issue 1 (January 2024)
By: ,  ,   and    
Open Access
|Feb 2024
Authors

Authors

Fares Berttahar

fares.bettahar@univ-biskra.dz

LGEB, University of Mohamed Khidar, Biskra, Algeria

Sabrina Abdeddaim

LGEB, University of Mohamed Khidar, Biskra, Algeria

Achour Betka

LGEB, University of Mohamed Khidar, Biskra, Algeria

Charrouf Omar

LGEB, University of Mohamed Khidar, Biskra, Algeria
DOI: https://doi.org/10.2478/pead-2024-0006 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 86 - 105
Submitted on: Jul 24, 2023
Accepted on: Jan 16, 2024
Published on: Feb 15, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
grey wolf optimization (GWO),
horse herd optimization algorithm (HOA),
maximum power point tracking (MPPT),
partial shading,
particle swarm optimization (PSO),
photovoltaic generation systems
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2024 Fares Berttahar, Sabrina Abdeddaim, Achour Betka, Charrouf Omar, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 9 (2024): Issue 1 (January 2024)
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