Diversity enhancement-based Differential Evolution with a novel perturbation strategy DOI

Zhenghao Song,

Liangliang Sun,

Natalja M. Matsveichuk

и другие.

Swarm and Evolutionary Computation, Год журнала: 2024, Номер 92, С. 101822 - 101822

Опубликована: Дек. 24, 2024

Язык: Английский

Self-adaptive single-diode model parameter identification under small mismatching conditions DOI Creative Commons
Luis Enrique Garcia Marrero, Carlos I. Pavon-Vargas, Juan David Bastidas‐Rodríguez

и другие.

Renewable Energy, Год журнала: 2025, Номер 245, С. 122735 - 122735

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Parameters identification of photovoltaic cell and module models based on the CSAO algorithm DOI
Yiping Xiao, Haiyang Zhang, Honghao Wei

и другие.

Journal of Computational Electronics, Год журнала: 2025, Номер 24(3)

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0

Parameter Extraction of Photovoltaic Cell and Module with Four Diode Model Using Flood Algorithm DOI Creative Commons
İpek Çetinbaş

Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji, Год журнала: 2024, Номер unknown

Опубликована: Дек. 5, 2024

Photovoltaic (PV) cells exhibit a nonlinear characteristic. Before modeling these cells, obtaining accurate parameters is essential. During the phase, using crucial for accurately characterizing and reflecting behavior of PV structures. Therefore, this article focuses on parameter extraction. A cell module were selected modeled four-diode model (FDM). This problem, consisting eleven unknown related to FDM, was solved with flood algorithm (FLA). To compare algorithm’s performance same polar lights optimizer (PLO), moss growth optimization (MGO), walrus (WO), educational competition (ECO) also employed. These five metaheuristic algorithms used first time in study, both solving extraction problem FDM. The objective function aimed at smallest root mean square error (RMSE) evaluated compared through assessment metrics, computational accuracy, time, statistical methods. minimum RMSE obtained FLA, calculated as 9.8251385E-04 FDM-C 1.6884311E-03 FDM-M. statistically demonstrate reinforce FLA’s success over other algorithms, Friedman test Wilcoxon signed-rank utilized. According tests, FLA produced significantly better results than outperformed them pairwise comparisons. In conclusion, has proven be successful promising extraction, its validated.

Язык: Английский

Процитировано

0

Diversity enhancement-based Differential Evolution with a novel perturbation strategy DOI

Zhenghao Song,

Liangliang Sun,

Natalja M. Matsveichuk

и другие.

Swarm and Evolutionary Computation, Год журнала: 2024, Номер 92, С. 101822 - 101822

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

0