A Novel Optimization Approach Using Chaos Game Optimization Algorithm for Parameters Estimation of Photovoltaic Cells

被引：0
|
作者：
Wereda, Galal Borham [1 ]
Diaaeldin, Ibrahim Mohamed [2 ]
Omar, Othman A. M. [2 ]
Attia, Mahmoud A. [1 ]
Badr, Ahmed O. [1 ]
机构：
[1] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo 11517, Egypt
[2] Ain Shams Univ, Fac Engn, Engn Phys & Math Dept, Cairo 11517, Egypt
来源：
SUSTAINABILITY | 2025年 / 17卷 / 04期
关键词：
solar energy systems; PV cell parameter estimation; optimization methods; chaos game optimization algorithm; SINGLE-DIODE MODEL; LAMBERT W FUNCTION; SOLAR-CELLS; EXTRACTION; IDENTIFICATION; SYSTEM;
D O I：
10.3390/su17041609
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The utilization of solar photovoltaics (PV) in electricity generation is progressively increasing due to its environmental benefits, such as reducing power transmission costs and mitigating global warming. This research aims to enhance the effectiveness of the extracted PV parameters. To estimate the parameters of the PV model, a recent optimization algorithm called the Chaos Game Optimization algorithm (CGO) is employed to precisely choose PV parameters. In this work, PV cells are modeled using two different models, including the single-diode model (SDM) and the double-diode model (DDM). The CGO algorithm outperformed nine well-known optimization algorithms based on the root-mean squares of error (RMSE) with a percentage of up to 97% for the single-diode model (SDM) and up to 92.92% for the double-diode model (DDM).
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页数：19
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