Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Photovoltaic models"'
Autor:
Yassine Bouteraa, Mohammad Khishe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract The dynamic and multimodal nature of photovoltaic (PV) systems makes it challenging to examine all solar photovoltaic characteristics. Consequently, this study recommends a recently developed optimization method called the marine predator al
Externí odkaz:
https://doaj.org/article/790d43c9e43e44148a7d25de3accbd67
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-37 (2024)
Abstract As countries attach importance to environmental protection, clean energy has become a hot topic. Among them, solar energy, as one of the efficient and easily accessible clean energy sources, has received widespread attention. An essential co
Externí odkaz:
https://doaj.org/article/bdac5b8e680d43429d7b9cf981d25b26
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38412- (2024)
In the field of solar photovoltaic (PV) systems, the accurate and reliable extraction of parameters from PV models is crucial for effective simulation, evaluation, and control. Although various optimization algorithms have been widely used for parame
Externí odkaz:
https://doaj.org/article/a7c522fd366d4b97892804897c3db857
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36678- (2024)
This study is presented to examine the performance of a newly proposed metaheuristic algorithm within discrete and continuous search spaces. Therefore, the multithresholding image segmentation problem and parameter estimation problem of both the prot
Externí odkaz:
https://doaj.org/article/8adfdf49ff70416090af8b1949b074e1
Publikováno v:
In Heliyon 15 October 2024 10(19)
Publikováno v:
IEEE Access, Vol 12, Pp 72504-72520 (2024)
The study presents the Multi-Strategy Learning Fusion Slime Mould Algorithm (MFSMA), a novel method designed to optimize parameters in photovoltaic systems, thereby increasing the efficiency of solar energy conversion. MFSMA employs an advanced techn
Externí odkaz:
https://doaj.org/article/59445f5effa54af4b202ecd23eca567b
Publikováno v:
AIMS Energy, Vol 12, Iss 1, Pp 84-118 (2024)
This article proposed adaptive hybrid dwarf mongoose optimization (DMO) with whale optimization algorithm (DMOWOA) to extract solar cell model parameters. In DMOWOA, the whale optimization algorithm (WOA) is used to enhance the capability of DMO in e
Externí odkaz:
https://doaj.org/article/a47125276a784b40a0a5b6ad18943961
Autor:
Ayşe Beşkirli, İdiris Dağ
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 174-185 (2023)
Evaluation, simulation and optimization of PV systems is very important for fast and accurate parameter extraction based on current–voltage and power–voltage characteristic curves of photovoltaic models. Therefore, researchers used many metaheuri
Externí odkaz:
https://doaj.org/article/338e35ab27bb466483114919aa2c57c9
Autor:
Xuemeng Weng, Yun Liu, Ali Asghar Heidari, Zhennao Cai, Haiping Lin, Huiling Chen, Guoxi Liang, Abdulmajeed Alsufyani, Sami Bourouis
Publikováno v:
Energy Science & Engineering, Vol 11, Iss 1, Pp 267-298 (2023)
Abstract The determination of photovoltaic (PV) parameters is of great importance for the reliability of solar system operation, continuity of the load power consumption, and control management of the energy source. Therefore, this study proposes an
Externí odkaz:
https://doaj.org/article/e249434ee5d342249b0217861e8eb2b8
Autor:
M. Premkumar, Pradeep Jangir, C. Ramakrishnan, C. Kumar, R. Sowmya, Sanchari Deb, Nallapaneni Manoj Kumar
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 15249-15285 (2022)
The performance of a PhotoVoltaic (PV) system could be inferred from the features of its current–voltage relationships, but the PV model parameters are uncertain. Because of its multimodal, multivariable, and nonlinear properties, the PV model requ
Externí odkaz:
https://doaj.org/article/1999fc5f2124443e97fa85252bb563f4