A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models

S Li, W Gong, Q Gu - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …

[HTML][HTML] Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation

D Saadaoui, M Elyaqouti, K Assalaou… - Energy Conversion and …, 2021 - Elsevier
Extracting the optimum parameters of solar photovoltaic (PV) model using the experimental
data of current–voltage is very critical in simulating, controlling, and optimizing the PV …

Major advances in particle swarm optimization: theory, analysis, and application

EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models

W Long, S Cai, J Jiao, M Xu, T Wu - Energy Conversion and Management, 2020 - Elsevier
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …

On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function

M Ćalasan, SHEA Aleem, AF Zobaa - Energy conversion and management, 2020 - Elsevier
In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …

An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models

H Chen, S Jiao, AA Heidari, M Wang, X Chen… - Energy Conversion and …, 2019 - Elsevier
Identifying the optimum parameters of photovoltaic models based on the measured current-
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …

Boosting slime mould algorithm for parameter identification of photovoltaic models

Y Liu, AA Heidari, X Ye, G Liang, H Chen, C He - Energy, 2021 - Elsevier
Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …

Boosted mutation-based Harris hawks optimizer for parameters identification of single-diode solar cell models

HM Ridha, AA Heidari, M Wang, H Chen - Energy Conversion and …, 2020 - Elsevier
In order to realize the performance of the PV model before being installed, it is often
indispensable to develop reliable and accurate parameter identification methods for dealing …

Parameters identification of photovoltaic models by using an enhanced adaptive butterfly optimization algorithm

W Long, T Wu, M Xu, M Tang, S Cai - Energy, 2021 - Elsevier
Establishing accurate and reliable models based on the measured data for photo-voltaic
(PV) modules are significant to design, control and evaluate the PV systems. Although many …

Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models

J Liang, S Ge, B Qu, K Yu, F Liu, H Yang, P Wei… - Energy Conversion and …, 2020 - Elsevier
With the increasing demand for solar energy, accurate, reliable, and efficient parameters
extraction of photovoltaic models is becoming more significant and difficult. Accordingly, a …