Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction

Adedayo M. Farayola; Yanxia Sun; Ahmed Ali

doi:10.1109/ITMS51158.2020.9259311

Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction

Adedayo M. Farayola
, Yanxia Sun
, Ahmed Ali

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Photovoltaic cell modeling using 5-parameter cells are considered simple but less-accurate compared to the 8parameter models. Different optimization techniques have been proposed for the optimization and extraction of these unknown cell parameters. However, most of these techniques suffer some limitations that reduce their performances. In this paper, four different optimization techniques were compared under different cell temperatures to determine the most effective technique for the optimization of solar cell parameters. Findings show that shuffled frog leaping algorithm exhibited the best performance and can be suggested for the accurate extraction of photovoltaic cell parameters under different cell temperatures.

Original language	English
Title of host publication	2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings
Editors	Janis Grabis, Andrejs Romanovs, Galina Kulesova
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728191058
DOIs	https://doi.org/10.1109/ITMS51158.2020.9259311
Publication status	Published - 15 Oct 2020
Event	61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Riga, Latvia Duration: 15 Oct 2020 → 16 Oct 2020

Publication series

Name	2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings

Conference

Conference	61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020
Country/Territory	Latvia
City	Riga
Period	15/10/20 → 16/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 15 Life on Land

Keywords

Invasive weed optimization
Memetic algorithm
Shuffled Frog leaping algorithm
Simulated annealing
Solar cell
Whale algorithm
and swarm intelligence
machine learning

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Management Science and Operations Research

Access to Document

10.1109/ITMS51158.2020.9259311

Cite this

Farayola, A. M., Sun, Y., & Ali, A. (2020). Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction. In J. Grabis, A. Romanovs, & G. Kulesova (Eds.), 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings Article 9259311 (2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITMS51158.2020.9259311

Farayola, Adedayo M. ; Sun, Yanxia ; Ali, Ahmed. / Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction. 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings. editor / Janis Grabis ; Andrejs Romanovs ; Galina Kulesova. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings).

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title = "Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction",

abstract = "Photovoltaic cell modeling using 5-parameter cells are considered simple but less-accurate compared to the 8parameter models. Different optimization techniques have been proposed for the optimization and extraction of these unknown cell parameters. However, most of these techniques suffer some limitations that reduce their performances. In this paper, four different optimization techniques were compared under different cell temperatures to determine the most effective technique for the optimization of solar cell parameters. Findings show that shuffled frog leaping algorithm exhibited the best performance and can be suggested for the accurate extraction of photovoltaic cell parameters under different cell temperatures.",

keywords = "Invasive weed optimization, Memetic algorithm, Shuffled Frog leaping algorithm, Simulated annealing, Solar cell, Whale algorithm, and swarm intelligence, machine learning",

author = "Farayola, \{Adedayo M.\} and Yanxia Sun and Ahmed Ali",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 ; Conference date: 15-10-2020 Through 16-10-2020",

year = "2020",

month = oct,

day = "15",

doi = "10.1109/ITMS51158.2020.9259311",

language = "English",

series = "2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Janis Grabis and Andrejs Romanovs and Galina Kulesova",

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address = "United States",

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Farayola, AM, Sun, Y & Ali, A 2020, Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction. in J Grabis, A Romanovs & G Kulesova (eds), 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings., 9259311, 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020, Riga, Latvia, 15/10/20. https://doi.org/10.1109/ITMS51158.2020.9259311

Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction. / Farayola, Adedayo M.; Sun, Yanxia ; Ali, Ahmed.
2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings. ed. / Janis Grabis; Andrejs Romanovs; Galina Kulesova. Institute of Electrical and Electronics Engineers Inc., 2020. 9259311 (2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction

AU - Farayola, Adedayo M.

AU - Sun, Yanxia

AU - Ali, Ahmed

PY - 2020/10/15

Y1 - 2020/10/15

N2 - Photovoltaic cell modeling using 5-parameter cells are considered simple but less-accurate compared to the 8parameter models. Different optimization techniques have been proposed for the optimization and extraction of these unknown cell parameters. However, most of these techniques suffer some limitations that reduce their performances. In this paper, four different optimization techniques were compared under different cell temperatures to determine the most effective technique for the optimization of solar cell parameters. Findings show that shuffled frog leaping algorithm exhibited the best performance and can be suggested for the accurate extraction of photovoltaic cell parameters under different cell temperatures.

AB - Photovoltaic cell modeling using 5-parameter cells are considered simple but less-accurate compared to the 8parameter models. Different optimization techniques have been proposed for the optimization and extraction of these unknown cell parameters. However, most of these techniques suffer some limitations that reduce their performances. In this paper, four different optimization techniques were compared under different cell temperatures to determine the most effective technique for the optimization of solar cell parameters. Findings show that shuffled frog leaping algorithm exhibited the best performance and can be suggested for the accurate extraction of photovoltaic cell parameters under different cell temperatures.

KW - Invasive weed optimization

KW - Memetic algorithm

KW - Shuffled Frog leaping algorithm

KW - Simulated annealing

KW - Solar cell

KW - Whale algorithm

KW - and swarm intelligence

KW - machine learning

UR - https://www.scopus.com/pages/publications/85097991428

U2 - 10.1109/ITMS51158.2020.9259311

DO - 10.1109/ITMS51158.2020.9259311

M3 - Conference contribution

AN - SCOPUS:85097991428

T3 - 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings

BT - 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings

A2 - Grabis, Janis

A2 - Romanovs, Andrejs

A2 - Kulesova, Galina

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020

Y2 - 15 October 2020 through 16 October 2020

ER -

Farayola AM, Sun Y , Ali A. Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction. In Grabis J, Romanovs A, Kulesova G, editors, 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9259311. (2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University, ITMS 2020 - Proceedings). doi: 10.1109/ITMS51158.2020.9259311

Comparative Study of Optimization Techniques Based on Solar Cell Parameter Extraction

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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