Application of hybrid chaotic particle swarm optimization and slime mould algorithm to optimally estimate the parameter of fuel cell and solar PV system
Through the use of fuel cells and photovoltaic (PV) solar cells, green energy has become
one of the most popular developments in electricity generation in recent years. Accurate …
one of the most popular developments in electricity generation in recent years. Accurate …
Fitness-guided particle swarm optimization with adaptive Newton-Raphson for Photovoltaic Model Parameter Estimation
M Premkumar, S Ravichandran, TJT Hashim… - Applied Soft …, 2024 - Elsevier
This study introduces a new approach for parameter optimization in the four-diode
photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization …
photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization …
An enhanced efficient optimization algorithm (EINFO) for accurate extraction of proton exchange membrane fuel cell parameters
In order to assure accurate modelling, this study presents a new technique for appropriately
modelling and simulating a proton exchange membrane fuel cell (PEMFC) system. The …
modelling and simulating a proton exchange membrane fuel cell (PEMFC) system. The …
Parameter estimation of fuel cells using a hybrid optimization algorithm
Because of the current increase in energy requirement, reduction in fossil fuels, and global
warming, as well as pollution, a suitable and promising alternative to the non-renewable …
warming, as well as pollution, a suitable and promising alternative to the non-renewable …
Optimal estimation of proton exchange membrane fuel cell model parameters based on an improved chicken swarm optimization algorithm
T Wang, H Huang, X Li, X Guo, M Liu… - International Journal of …, 2023 - Taylor & Francis
Proton exchange membrane fuel cell (PEMFC) has been gradually applied in new energy
vehicles, aviation and other industries, attracting widespread attention. Accurately identifying …
vehicles, aviation and other industries, attracting widespread attention. Accurately identifying …
A new hybrid multi-population GTO-BWO approach for parameter estimation of photovoltaic cells and modules
Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks
when assessing the accurate performance of the PV system in power systems. The …
when assessing the accurate performance of the PV system in power systems. The …
Parameter estimation of three diode solar PV cell using chaotic dragonfly algorithm
The efficiency of a photovoltaic system may be increased with the use of effective solar PV
cell modelling. Solar cell characteristics with flaws, on the other hand, have an unfavorable …
cell modelling. Solar cell characteristics with flaws, on the other hand, have an unfavorable …
A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models
The accuracy of solar cell models is crucial for enhancing the performance of solar
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
Application of RSAPSO Hybrid Optimizer for Parameter Extraction of Solar PV Cell Models under Temperature Variations
Accurate modeling of photovoltaic (PV) modules/cells is crucial for evaluating the efficiency
of solar PV systems. However, the lack of specific parameters of solar cells, which are not …
of solar PV systems. However, the lack of specific parameters of solar cells, which are not …
A modified particle swarm optimization rat search algorithm and its engineering application
Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and
simulated with efficiency. The performance of PV systems is greatly impacted by the …
simulated with efficiency. The performance of PV systems is greatly impacted by the …