A Novel Adaptive Flower Pollination Algorithm for Maximum Power Tracking of Photovoltaic Systems Under Dynamic Shading Conditions-Reference-Cited by-同舟云学术

A Novel Adaptive Flower Pollination Algorithm for Maximum Power Tracking of Photovoltaic Systems Under Dynamic Shading Conditions

Published:2024-02-14 Issue:2 Volume:48 Page:859-875
ISSN:2228-6179
Container-title:Iranian Journal of Science and Technology, Transactions of Electrical Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Electr Eng

Author:

Kumar Balmukund,Kumar Amitesh^ORCID

Funder

Department of Science and Technology (DST), Govt. of India

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40998-024-00696-z.pdf

Reference20 articles.

1. Bahari MI, Tarassodi P, Naeini YM, Khalilabad AK, Shirazi P (2016) Modeling and simulation of hill climbing MPPT algorithm for photovoltaic application. In: 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (pp 1041-1044). IEEE.

2. Chowdhury SBR, Gayen PK, Roy S, Babu NV (2022) A Novel MPPT algorithm for PV systems under variable shading conditions using horse herd optimization. J Electr Syst 18(1)

3. González-Castaño C, Restrepo C, Kouro S, Rodriguez J (2021) MPPT Algorithm Based on Artificial Bee Colony for PV System. IEEE Access 9:43121–43133. https://doi.org/10.1109/ACCESS.2021.3066281

4. Hayder W, Ogliari E, Dolara A, Abid A, Hamed MB, Sbita L (2020) Improved PSO: A comparative study in MPPT algorithm for PV system control under partial shading conditions. Energies. https://doi.org/10.3390/en13082035

5. Li H, Yang D, Su W, Lu J, Yu X (2019) An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading. IEEE Trans Ind Electron 66:265–275. https://doi.org/10.1109/TIE.2018.2829668