Open Access
| Issue |
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
|
|
|---|---|---|
| Article Number | 00036 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202568000036 | |
| Published online | 19 December 2025 | |
- Fares Berttahar, Sabrina Abdeddaim, Achour Betka, Charrouf Omar, “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(44), 2024 [Google Scholar]
- Tianmeng Wei, Dongliang Liu, and Chuanfeng Zhang, “An Improved Particle Swarm Optimization (PSO)-Based MPPT Strategy for PV System”, MATEC Web of Conferences 139, 00052 (2017), ICMITE 2017 [Google Scholar]
- Neethu M. and R. Senthilkumar, “Comparison Method of PSO and DE Optimization for MPPT in PV Systems under Partial Shading Conditions”, International Energy Journal 20 (2020) Special Issue 2A, 291 – 298 [Google Scholar]
- HALALI YOUCEF, GHAITAOUI TOUHAMI, OULEDALI OMAR, GHAITAOUI AHMED ESSAMA, LARIBI SLIMANE, “Sliding Mode based PSO MPPT for Solar PV System”, PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 100 NR 1/2024 [Google Scholar]
- Smail Chtita, Saad Motahhir, and al “A novel hybrid GWO–PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions », Scientific Reports (2022) 12:10637 [CrossRef] [PubMed] [Google Scholar]
- Z. Erdem, “An Advanced Particle Swarm Optimization Algorithm for MPPTs in PV Systems”, ACTA PHYSICA POLONICA, Vol. 132 (2017) [Google Scholar]
- Yu Xia, Li Zhu, Jianjun Tan, Yunyu Zhun, Chen Yang, “MPPT Study of Outdoor Sensing Terminal PV System Based on Improved PSO Algorithm”, Journal of Physics: Conference Series, ICRAIC-2022, 2456 (2023) 012036 [Google Scholar]
- Ersalina Werda Mukti*, Agus Risdiyanto, Ant. Ardath Kristi, Rudi Darussalam, “Jurnal Elektronika dan Telekomunikasi (JET)”, Vol. 23, No. 2, December 2023, pp. 99-107 [Google Scholar]
- Al-amin. O. Yakubu *, Ertuğrul ADIGÜZEL, Aysel ERSOY, “Enhanced particle swarm optimization and P&O for MPPT of photovoltaic systems under partial shading conditions”, International Journal of Energy Applications and Technologies 10(2) [2023] 80-91 [Google Scholar]
- Ramdan B. A. Koad, Ahmed F. Zobaa and Adel El-Shahat “A Novel MPPT Algorithm Based on Particle Swarm Optimisation for Photovoltaic Systems” [Google Scholar]
- O. Ben Belghith, L. Sbita, F. Bettaher, “MPPT Design Using PSO Technique for Photovoltaic System Control Comparing to Fuzzy Logic and P&O Controllers, Energy and Power Engineering, 2016, 8, 349-366 [Google Scholar]
- Wafa Hayder, Emanuele Ogliari, Alberto Dolara, Aycha Abid, Mouna Ben Hamed and Lasaad Sbita, “Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions”, Energies 2020, 13, 2035; doi:10.3390/en13082035 [Google Scholar]
- Efendi S Wirateruna1*, Annisa Fitri Ayu Millenia, « Design of MPPT PV using Particle Swarm Optimization Algorithm under Partial Shading Condition”, International Journal of Artificial Intelligence & Robotics (IJAIR), Vol.4, No.1, 2022, pp.24-30 [Google Scholar]
- Louki Hichem, Omeiri Amar, Merabet Leila, “Optimized ANN-fuzzy MPPT controller for a stand-alone PV system under fast-changing atmospheric conditions”, Bulletin of Electrical Engineering and Informatics Vol. 12, No. 4, August 2023, pp. 1960~1981 [CrossRef] [Google Scholar]
- F.E. Tahiri, K. Chikh et M. Khafallah, « Commande MPPT utilisant un contrôleur PI-Flou appliqué à un système photovoltaïque autonome » [Google Scholar]
- Hegazy Rezk, Mokhtar Aly and Rania M. Ghoniem, “Robust Fuzzy Logic MPPT Using Gradient-Based Optimization for PEMFC Power System”, Sustainability 2023, 15, 13368 [Google Scholar]
- Zaghba layachi,A. Borni,A. Bouchakeur, N. Terki, “An intelligent approach based on fuzzy logic for improving and optimizing the performance of a photovoltaic system », 978-1-4799-7300-2/14 ©2014 IEEE [Google Scholar]
- L. Zaghba, A. Borni, N. Terki, A. Bouchakour, « Intelligent Control MPPT Technique for PV Module at Varying Atmospheric Conditions Using MA TLAB SIMULINK », 978-1-4799-7336-1/14 ©2014 IEEE [Google Scholar]
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