A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization

HGG Nunes, JAN Pombo, S Mariano, MRA Calado… - Applied energy, 2018 - Elsevier
Determining the mathematical model parameters of photovoltaic (PV) cells and modules
represents a great challenge. In the last few years, several analytical, numerical and hybrid …

Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm

SM Ebrahimi, E Salahshour, M Malekzadeh, F Gordillo - Energy, 2019 - Elsevier
The use of solar energy as a source of clean energy is increasing throughout the world.
Therefore, designing higher-quality photovoltaic cells has attracted researches. Several …

Hybrid optimization based on the analytical approach and the particle swarm optimization algorithm (Ana-PSO) for the extraction of single and double diode models …

I Choulli, M Elyaqouti, D Saadaoui, S Lidaighbi… - Energy, 2023 - Elsevier
Mathematical Modelling is one of the approved strategies for simulating the performances of
photovoltaic devices. Each proposed model contains several parameters; and the accurate …

Parameter estimation techniques for photovoltaic system modeling

MK Singla, J Gupta, P Nijhawan, P Singh, NC Giri… - Energies, 2023 - mdpi.com
In improving PV system performance, the parameters associated with electrical photovoltaic
equivalent models play a pivotal role. However, due to the increased mathematical …

Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints

S Bana, RP Saini - Renewable Energy, 2017 - Elsevier
Abstract Abstract-Photo-voltaic (PV) is a static medium to convert solar energy directly into
electricity. In order to predict the performance of a PV system before being installed, a …

Comparison of different metaheuristic algorithms for parameter identification of photovoltaic cell/module

O Hachana, KE Hemsas, GM Tina… - Journal of renewable and …, 2013 - pubs.aip.org
The estimation of the photovoltaic (PV) cell/module model parameters could lead to
accomplish a diagnostic tool and to estimate several factors which affect the health state of a …

Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell/module parameter extraction

M Merchaoui, A Sakly, MF Mimouni - Energy Conversion and Management, 2018 - Elsevier
Developing an accurate model for photovoltaic solar cell and module represents a
challenge to improve the overall efficiency of the photovoltaic systems use. Parameter …

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

B Yang, J Wang, X Zhang, T Yu, W Yao, H Shu… - Energy Conversion and …, 2020 - Elsevier
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

Photovoltaic cell parameter estimation using hybrid particle swarm optimization and simulated annealing

MA Mughal, Q Ma, C Xiao - Energies, 2017 - mdpi.com
Accurate parameter estimation of solar cells is vital to assess and predict the performance of
photovoltaic energy systems. For the estimation model to accurately track the experimentally …

Tree growth based optimization algorithm for parameter extraction of different models of photovoltaic cells and modules

AAZ Diab, HM Sultan, R Aljendy, AS Al-Sumaiti… - IEEE …, 2020 - ieeexplore.ieee.org
Among all renewable energy sources, solar cells are considered the most popular solution
for a clean source of energy and have a wide range of applications from few watts to …