@inproceedings{3cc5a790aab2429ab14601c651c91107,
title = "8-Parameter Extraction in Photovoltaic Cell Using Firefly Optimization Technique",
abstract = "Photovoltaic (PV) cell modeling is an important study done to improve solar cell performance before fabrication. Different techniques have been implemented for the extraction of solar cell parameters to generate a high PV power. However, most of these techniques are considered less accurate and suffer some limitations that reduce their effectiveness. In this paper, five different techniques were compared under different cell temperature levels to determine the technique that yields the best results. Findings show that firefly algorithm exhibited the best performance and can be recommended for the extraction of solar cell parameters in PV cells.",
keywords = "Cultural algorithm, Firefly algorithm, Fminsearch, Genetic algorithm, PSO, PV cells and swarm intelligence",
author = "Farayola, {Adedayo M.} and Yanxia Sun and Ahmed Ali",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Electrical Power and Energy Conference, EPEC 2021 ; Conference date: 22-10-2021 Through 31-10-2021",
year = "2021",
doi = "10.1109/EPEC52095.2021.9621497",
language = "English",
series = "2021 IEEE Electrical Power and Energy Conference, EPEC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "184--189",
booktitle = "2021 IEEE Electrical Power and Energy Conference, EPEC 2021",
address = "United States",
}
