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 …

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 …

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 …

Generalized normal distribution optimization and its applications in parameter extraction of photovoltaic models

Y Zhang, Z **, S Mirjalili - Energy Conversion and Management, 2020 - Elsevier
The accuracy of extracting the unknown parameters of photovoltaic models is closely related
with the effectiveness of modeling, simulating, and controlling photovoltaic systems …

Parameter estimation of photovoltaic models using an improved marine predators algorithm

M Abdel-Basset, D El-Shahat, RK Chakrabortty… - Energy Conversion and …, 2021 - Elsevier
The abundance of solar energy as one of the clean energy forms offers a great advantage
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …

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 …

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 …

Random reselection particle swarm optimization for optimal design of solar photovoltaic modules

Y Fan, P Wang, AA Heidari, H Chen, M Mafarja - Energy, 2022 - Elsevier
Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …

Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models

Y Liu, G Chong, AA Heidari, H Chen, G Liang… - Energy Conversion and …, 2020 - Elsevier
An improved Harris hawks optimization is proposed in this work to facilitate the simulation of
an efficient photovoltaic system and extraction of unknown parameters, which combines …