Parameter estimation of different photovoltaic models using hybrid particle swarm optimization and gravitational search Algorithm

J Gupta, A Hussain, MK Singla, P Nijhawan, W Haider… - Applied Sciences, 2022 - mdpi.com
The performance of a typical solar energy-based system can be improved by accurately
modeling the current versus voltage characteristics of the involved solar cells. However …

An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells

A Singh, A Sharma, S Rajput, A Bose, X Hu - Electronics, 2022 - mdpi.com
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Enhanced leader particle swarm optimisation (ELPSO): An efficient algorithm for parameter estimation of photovoltaic (PV) cells and modules

AR Jordehi - Solar Energy, 2018 - Elsevier
Today, photovoltaic (PV) systems are generating a significant share of electric power.
Parameter estimation of photovoltaic cells and modules is a hot research topic and plays an …

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 …

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 …

A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

K Yu, B Qu, C Yue, S Ge, X Chen, J Liang - Applied energy, 2019 - Elsevier
In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …

[HTML][HTML] Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem

Y Lu, S Liang, H Ouyang, S Li, G Wang - Energy Reports, 2023 - Elsevier
The accurate estimation of model parameters is significant for the simulation, evaluation,
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …

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 …

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 …

Static and dynamic photovoltaic models' parameters identification using chaotic heterogeneous comprehensive learning particle swarm optimizer variants

D Yousri, D Allam, MB Eteiba, PN Suganthan - Energy conversion and …, 2019 - Elsevier
Photovoltaic modeling has attracted researchers' attention worldwide because of its
importance in the photovoltaic system design. Therefore, several photovoltaic models have …