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)
|
Pdf
Parameter identification of solar cells using improved Archimedes.pdf Download (247kB) | Preview |
|
Pdf
Parameter identification of solar cells using improved Archimedes Optimization Algorithm.pdf Restricted to Repository staff only Download (4MB) | Request a copy |
Abstract
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.
Item Type: | Article |
---|---|
Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Archimedes Optimization Algorithm; Optimization algorithm; PV models; Solar cell parameters |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Centre for Advanced Industrial Technology Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Miss Amelia Binti Hasan |
Date Deposited: | 01 Mar 2024 05:48 |
Last Modified: | 01 Mar 2024 05:48 |
URI: | http://umpir.ump.edu.my/id/eprint/40558 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |