Cover Image

Parameter identification of solar cells using improved Archimedes Optimization Algorithm

The parameters of solar cells for five PV models are identified using an Improved Archimedes Optimization Algorithm (IAOA) in this paper. Two modifications are made to the original Archimedes Optimization Algorithm (AOA). To control the unequal exploration and exploitation phases, the initial adjust...

Full description

Saved in:
Bibliographic Details
Main Authors: Krishnan, Harvin, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid
Format: Article
Language:English
English
Published: Elsevier 2023
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/40558/1/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes.pdf
http://umpir.ump.edu.my/id/eprint/40558/2/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes%20Optimization%20Algorithm.pdf
http://umpir.ump.edu.my/id/eprint/40558/
https://doi.org/10.1016/j.ijleo.2023.171465
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.40558
record_format eprints
spelling my.ump.umpir.405582024-03-01T05:48:07Z http://umpir.ump.edu.my/id/eprint/40558/ Parameter identification of solar cells using improved Archimedes Optimization Algorithm Krishnan, Harvin Islam, Muhammad Shafiqul Mohd Ashraf, Ahmad Muhammad Ikram, Mohd Rashid T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The parameters of solar cells for five PV models are identified using an Improved Archimedes Optimization Algorithm (IAOA) in this paper. Two modifications are made to the original Archimedes Optimization Algorithm (AOA). To control the unequal exploration and exploitation phases, the initial adjustment is to incorporate an augmented density decreasing factor. A random average calculation between the current object position and the best object position is implemented for the second modification to solve the local optima issue. The proposed IAOA is then used to tackle the problem of identifying PV model parameters from experimental I-V data. Different PV models, such as the one-diode model (ODM), the two-diode model (TDM), and the PV module model (PMM), have been distinguished using the suggested IAOA. The proposed IAOA outperforms other present algorithms and even outperforms the original AOA based on the revealed results. As closely as feasible to the experimental I-V data of real PV solar cells and module models, the proposed IAOA can choose the best parameter values for PV models. Elsevier 2023-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40558/1/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes.pdf pdf en http://umpir.ump.edu.my/id/eprint/40558/2/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes%20Optimization%20Algorithm.pdf Krishnan, Harvin and Islam, Muhammad Shafiqul and Mohd Ashraf, Ahmad and Muhammad Ikram, Mohd Rashid (2023) Parameter identification of solar cells using improved Archimedes Optimization Algorithm. Optik, 295 (171465). pp. 1-27. ISSN 0030-4026. (Published) https://doi.org/10.1016/j.ijleo.2023.171465 10.1016/j.ijleo.2023.171465
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Krishnan, Harvin
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
Muhammad Ikram, Mohd Rashid
Parameter identification of solar cells using improved Archimedes Optimization Algorithm
description The parameters of solar cells for five PV models are identified using an Improved Archimedes Optimization Algorithm (IAOA) in this paper. Two modifications are made to the original Archimedes Optimization Algorithm (AOA). To control the unequal exploration and exploitation phases, the initial adjustment is to incorporate an augmented density decreasing factor. A random average calculation between the current object position and the best object position is implemented for the second modification to solve the local optima issue. The proposed IAOA is then used to tackle the problem of identifying PV model parameters from experimental I-V data. Different PV models, such as the one-diode model (ODM), the two-diode model (TDM), and the PV module model (PMM), have been distinguished using the suggested IAOA. The proposed IAOA outperforms other present algorithms and even outperforms the original AOA based on the revealed results. As closely as feasible to the experimental I-V data of real PV solar cells and module models, the proposed IAOA can choose the best parameter values for PV models.
format Article
author Krishnan, Harvin
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
Muhammad Ikram, Mohd Rashid
author_facet Krishnan, Harvin
Islam, Muhammad Shafiqul
Mohd Ashraf, Ahmad
Muhammad Ikram, Mohd Rashid
author_sort Krishnan, Harvin
title Parameter identification of solar cells using improved Archimedes Optimization Algorithm
title_short Parameter identification of solar cells using improved Archimedes Optimization Algorithm
title_full Parameter identification of solar cells using improved Archimedes Optimization Algorithm
title_fullStr Parameter identification of solar cells using improved Archimedes Optimization Algorithm
title_full_unstemmed Parameter identification of solar cells using improved Archimedes Optimization Algorithm
title_sort parameter identification of solar cells using improved archimedes optimization algorithm
publisher Elsevier
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40558/1/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes.pdf
http://umpir.ump.edu.my/id/eprint/40558/2/Parameter%20identification%20of%20solar%20cells%20using%20improved%20Archimedes%20Optimization%20Algorithm.pdf
http://umpir.ump.edu.my/id/eprint/40558/
https://doi.org/10.1016/j.ijleo.2023.171465
_version_ 1822924172294094848
score 13.232414

Similar Items