Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

University of Tunis, National Higher School of Engineers of Tunis (ENSIT), Laboratory of Engineering of Industrial Systems and Renewable Energy (LISIER)Tunis, Tunisia

Regaya, Chiheb Ben

University of Tunis, National Higher School of Engineers of Tunis (ENSIT), Laboratory of Engineering of Industrial Systems and Renewable Energy (LISIER)Tunis, Tunisia

Jeridi, Ahmed

University of Tunis, National Higher School of Engineers of Tunis (ENSIT), Laboratory of Engineering of Industrial Systems and Renewable Energy (LISIER)Tunis, Tunisia

Zaafouri, Abderrahmen

University of Tunis, National Higher School of Engineers of Tunis (ENSIT), Laboratory of Engineering of Industrial Systems and Renewable Energy (LISIER)Tunis, Tunisia

Lingua:: Inglese

Frequenza di pubblicazione:: 1 volte all'anno
Argomenti della rivista:: Informatica, Intelligenza artificiale, Ingegneria, Elettrotecnica, Elettronica

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Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

Hechmi Khaterchi

Chiheb Ben Regaya

Ahmed Jeridi

Abderrahmen Zaafouri

Categoria dell'articolo: Research paper

Pubblicato online: 21 dic 2024

Pagine: 1 - 18

Ricevuto: 18 set 2024

Accettato: 15 nov 2024

DOI: https://doi.org/10.2478/pead-2025-0001

Parole chiavephotovoltaic system, maximum power point tracking, war strategy optimization, incremental conductance

© 2025 Hechmi Khaterchi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
photovoltaic system, maximum power point tracking, war strategy optimization, incremental conductance