Optimal parameter identification of triple diode model for solar photovoltaic panel and cells

Hegazy Rezk; Mohammad Ali Abdelkareem

doi:10.1016/j.egyr.2021.11.179

Optimal parameter identification of triple diode model for solar photovoltaic panel and cells

Hegazy Rezk, Mohammad Ali Abdelkareem

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

The correct parameter determination of the photovoltaic module and the solar cell is considered an important phase to deliver a reliable simulation for the PV system characteristics. The triple diode model (TDM) has been examined to model the PVM 752 GaAs thin-film PV solar cell (SC), STM6 PV module, and RTC SC. A set of the measured I-V data at various levels of the weather conditions has been considered for the studied PV solar cell/modules. A new marine predators algorithm (MPA) is used to identify the TDM parameters based on measured datasets. Throughout the optimization procedure, the nine undetermined parameters of TDM are employed as decision variables but the fitness function requires to be least is the RMSE between the experimental and calculated datasets. The achieved results by MPA are compared with different algorithms. The comparison confirmed the superiority of MPA.

Original language	English
Pages (from-to)	1179-1188
Number of pages	10
Journal	Energy Reports
Volume	8
DOIs	https://doi.org/10.1016/j.egyr.2021.11.179
State	Published - Apr 2022

Keywords

Marine predators algorithm
Modelling
Photovoltaic
Solar cells

UN SDGs

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

Access to Document

10.1016/j.egyr.2021.11.179

Cite this

@article{b05dd958586540cb93b8f1d84a1a2221,

title = "Optimal parameter identification of triple diode model for solar photovoltaic panel and cells",

abstract = "The correct parameter determination of the photovoltaic module and the solar cell is considered an important phase to deliver a reliable simulation for the PV system characteristics. The triple diode model (TDM) has been examined to model the PVM 752 GaAs thin-film PV solar cell (SC), STM6 PV module, and RTC SC. A set of the measured I-V data at various levels of the weather conditions has been considered for the studied PV solar cell/modules. A new marine predators algorithm (MPA) is used to identify the TDM parameters based on measured datasets. Throughout the optimization procedure, the nine undetermined parameters of TDM are employed as decision variables but the fitness function requires to be least is the RMSE between the experimental and calculated datasets. The achieved results by MPA are compared with different algorithms. The comparison confirmed the superiority of MPA.",

keywords = "Marine predators algorithm, Modelling, Photovoltaic, Solar cells",

author = "Hegazy Rezk and Abdelkareem, \{Mohammad Ali\}",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s)",

year = "2022",

month = apr,

doi = "10.1016/j.egyr.2021.11.179",

language = "English",

volume = "8",

pages = "1179--1188",

journal = "Energy Reports",

issn = "2352-4847",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Optimal parameter identification of triple diode model for solar photovoltaic panel and cells

AU - Rezk, Hegazy

AU - Abdelkareem, Mohammad Ali

PY - 2022/4

Y1 - 2022/4

N2 - The correct parameter determination of the photovoltaic module and the solar cell is considered an important phase to deliver a reliable simulation for the PV system characteristics. The triple diode model (TDM) has been examined to model the PVM 752 GaAs thin-film PV solar cell (SC), STM6 PV module, and RTC SC. A set of the measured I-V data at various levels of the weather conditions has been considered for the studied PV solar cell/modules. A new marine predators algorithm (MPA) is used to identify the TDM parameters based on measured datasets. Throughout the optimization procedure, the nine undetermined parameters of TDM are employed as decision variables but the fitness function requires to be least is the RMSE between the experimental and calculated datasets. The achieved results by MPA are compared with different algorithms. The comparison confirmed the superiority of MPA.

AB - The correct parameter determination of the photovoltaic module and the solar cell is considered an important phase to deliver a reliable simulation for the PV system characteristics. The triple diode model (TDM) has been examined to model the PVM 752 GaAs thin-film PV solar cell (SC), STM6 PV module, and RTC SC. A set of the measured I-V data at various levels of the weather conditions has been considered for the studied PV solar cell/modules. A new marine predators algorithm (MPA) is used to identify the TDM parameters based on measured datasets. Throughout the optimization procedure, the nine undetermined parameters of TDM are employed as decision variables but the fitness function requires to be least is the RMSE between the experimental and calculated datasets. The achieved results by MPA are compared with different algorithms. The comparison confirmed the superiority of MPA.

KW - Marine predators algorithm

KW - Modelling

KW - Photovoltaic

KW - Solar cells

UR - http://www.scopus.com/inward/record.url?scp=85120176967&partnerID=8YFLogxK

U2 - 10.1016/j.egyr.2021.11.179

DO - 10.1016/j.egyr.2021.11.179

M3 - Article

AN - SCOPUS:85120176967

SN - 2352-4847

VL - 8

SP - 1179

EP - 1188

JO - Energy Reports

JF - Energy Reports

ER -

Optimal parameter identification of triple diode model for solar photovoltaic panel and cells

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this