Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm

Reem Y. Abdelghany; Salah Kamel; Hamdy M. Sultan; Mohamed H. Hassan; Loai Nasrat

doi:10.1109/MEPCON55441.2022.10021686

Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm

Reem Y. Abdelghany
, Salah Kamel
, Hamdy M. Sultan
, Mohamed H. Hassan
, Loai Nasrat

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

2 Scopus citations

Abstract

One of the most important issues in improving of the efficiency of the photovoltaic system (PV) is finding the correct PV model. Determination of optimum parameters for PV models is vital to optimize and simulate PV systems based on the I-V characteristic, which is a nonlinear relationship Therefore, reaching the best PV model requires effective optimizers. This paper applies a new bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) to obtain values of unknown parameters of various types of solar cells. The results of the experiment showed that, compared to other optimization algorithms, the used algorithm can obtain more accurate values of the estimated parameters.

Original language	English
Title of host publication	2022 23rd International Middle East Power Systems Conference, MEPCON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665463638
DOIs	https://doi.org/10.1109/MEPCON55441.2022.10021686
State	Published - 2022
Externally published	Yes
Event	23rd International Middle East Power Systems Conference, MEPCON 2022 - Cairo, Egypt Duration: 13 Dec 2022 → 15 Dec 2022

Publication series

Name	2022 23rd International Middle East Power Systems Conference, MEPCON 2022

Conference

Conference	23rd International Middle East Power Systems Conference, MEPCON 2022
Country/Territory	Egypt
City	Cairo
Period	13/12/22 → 15/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Sooty Tern Optimization Algorithm (STOA)
optimization methods
parameter estimation
solar cells

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Control and Optimization

Access to Document

10.1109/MEPCON55441.2022.10021686

Cite this

Abdelghany, R. Y., Kamel, S., Sultan, H. M., Hassan, M. H., & Nasrat, L. (2022). Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm. In 2022 23rd International Middle East Power Systems Conference, MEPCON 2022 (2022 23rd International Middle East Power Systems Conference, MEPCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON55441.2022.10021686

@inproceedings{8bfb92038982431c941309faec4b024e,

title = "Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm",

abstract = "One of the most important issues in improving of the efficiency of the photovoltaic system (PV) is finding the correct PV model. Determination of optimum parameters for PV models is vital to optimize and simulate PV systems based on the I-V characteristic, which is a nonlinear relationship Therefore, reaching the best PV model requires effective optimizers. This paper applies a new bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) to obtain values of unknown parameters of various types of solar cells. The results of the experiment showed that, compared to other optimization algorithms, the used algorithm can obtain more accurate values of the estimated parameters.",

keywords = "Sooty Tern Optimization Algorithm (STOA), optimization methods, parameter estimation, solar cells",

author = "Abdelghany, \{Reem Y.\} and Salah Kamel and Sultan, \{Hamdy M.\} and Hassan, \{Mohamed H.\} and Loai Nasrat",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 23rd International Middle East Power Systems Conference, MEPCON 2022 ; Conference date: 13-12-2022 Through 15-12-2022",

year = "2022",

doi = "10.1109/MEPCON55441.2022.10021686",

language = "English",

series = "2022 23rd International Middle East Power Systems Conference, MEPCON 2022",

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

booktitle = "2022 23rd International Middle East Power Systems Conference, MEPCON 2022",

address = "United States",

}

Abdelghany, RY, Kamel, S, Sultan, HM, Hassan, MH & Nasrat, L 2022, Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm. in 2022 23rd International Middle East Power Systems Conference, MEPCON 2022. 2022 23rd International Middle East Power Systems Conference, MEPCON 2022, Institute of Electrical and Electronics Engineers Inc., 23rd International Middle East Power Systems Conference, MEPCON 2022, Cairo, Egypt, 13/12/22. https://doi.org/10.1109/MEPCON55441.2022.10021686

Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm. / Abdelghany, Reem Y.; Kamel, Salah; Sultan, Hamdy M. et al.
2022 23rd International Middle East Power Systems Conference, MEPCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 23rd International Middle East Power Systems Conference, MEPCON 2022).

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

TY - GEN

T1 - Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm

AU - Abdelghany, Reem Y.

AU - Kamel, Salah

AU - Sultan, Hamdy M.

AU - Hassan, Mohamed H.

AU - Nasrat, Loai

PY - 2022

Y1 - 2022

N2 - One of the most important issues in improving of the efficiency of the photovoltaic system (PV) is finding the correct PV model. Determination of optimum parameters for PV models is vital to optimize and simulate PV systems based on the I-V characteristic, which is a nonlinear relationship Therefore, reaching the best PV model requires effective optimizers. This paper applies a new bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) to obtain values of unknown parameters of various types of solar cells. The results of the experiment showed that, compared to other optimization algorithms, the used algorithm can obtain more accurate values of the estimated parameters.

AB - One of the most important issues in improving of the efficiency of the photovoltaic system (PV) is finding the correct PV model. Determination of optimum parameters for PV models is vital to optimize and simulate PV systems based on the I-V characteristic, which is a nonlinear relationship Therefore, reaching the best PV model requires effective optimizers. This paper applies a new bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) to obtain values of unknown parameters of various types of solar cells. The results of the experiment showed that, compared to other optimization algorithms, the used algorithm can obtain more accurate values of the estimated parameters.

KW - Sooty Tern Optimization Algorithm (STOA)

KW - optimization methods

KW - parameter estimation

KW - solar cells

UR - https://www.scopus.com/pages/publications/85147676605

U2 - 10.1109/MEPCON55441.2022.10021686

DO - 10.1109/MEPCON55441.2022.10021686

M3 - Conference contribution

AN - SCOPUS:85147676605

T3 - 2022 23rd International Middle East Power Systems Conference, MEPCON 2022

BT - 2022 23rd International Middle East Power Systems Conference, MEPCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd International Middle East Power Systems Conference, MEPCON 2022

Y2 - 13 December 2022 through 15 December 2022

ER -

Abdelghany RY, Kamel S, Sultan HM, Hassan MH, Nasrat L. Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm. In 2022 23rd International Middle East Power Systems Conference, MEPCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 23rd International Middle East Power Systems Conference, MEPCON 2022). doi: 10.1109/MEPCON55441.2022.10021686

Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this