Grasshopper optimization algorithm: theory, variants, and applications

Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2021 - ieeexplore.ieee.org
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …

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 …

Gradient-based optimizer for parameter extraction in photovoltaic models

AAK Ismaeel, EH Houssein, D Oliva, M Said - IEEE Access, 2021 - ieeexplore.ieee.org
Solar radiation is increasingly used as a clean energy source, and photovoltaic (PV) panels
that contain solar cells (SCs) transform solar energy into electricity. The current-voltage …

[HTML][HTML] An enhanced Gradient-based Optimizer for parameter estimation of various solar photovoltaic models

M Premkumar, P Jangir, C Ramakrishnan, C Kumar… - Energy Reports, 2022 - Elsevier
The performance of a PhotoVoltaic (PV) system could be inferred from the features of its
current–voltage relationships, but the PV model parameters are uncertain. Because of its …

A novel hybrid algorithm based on rat swarm optimization and pattern search for parameter extraction of solar photovoltaic models

M Eslami, E Akbari, ST Seyed Sadr… - Energy Science & …, 2022 - Wiley Online Library
Parameter extraction of photovoltaic (PV) models based on measured current–voltage data
plays an important role in the control, simulation, and optimization of PV systems. Despite …

A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules

PJ Gnetchejo, SN Essiane, A Dadjé, P Ele - Heliyon, 2021 - cell.com
Parameters extraction is instrumental to standard PV cells design. Reports indicates that
heuristic algorithms are the most effective methods for accurately determinining the values of …

Parameter extraction of photovoltaic models using a dynamic self-adaptive and mutual-comparison teaching-learning-based optimization

L Li, G Xiong, X Yuan, J Zhang, J Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Parameter extraction of solar cell models plays an important role in the simulation,
evaluation, control, and optimization of the photovoltaic (PV) system. Although many meta …

Analytical modeling of current-voltage photovoltaic performance: An easy approach to solar panel behavior

JM Álvarez, D Alfonso-Corcuera, E Roibás-Millán… - Applied Sciences, 2021 - mdpi.com
In this paper, we propose very simple analytical methodologies for modeling the behavior of
photovoltaic (solar cells/panels) using a one-diode/two-resistor (1-D/2-R) equivalent circuit …

Efficacy of ANFIS-GOA technique in flood prediction: a case study of Mahanadi river basin in India

A Sahoo, S Samantaray, S Paul - H2Open Journal, 2021 - iwaponline.com
Accurateness in flood prediction is of utmost significance for mitigating catastrophes caused
by flood events. Flooding leads to severe civic and financial damage, particularly in large …

Salp swarm optimization algorithm for estimating the parameters of photovoltaic panels based on the three-diode model

J Montano, AFT Mejia, AA Rosales Munoz, F Andrade… - electronics, 2021 - mdpi.com
Due to the the lack of information about parameters in the datasheets of photovoltaic (PV)
panels, it is difficult to study their modeling because PV behavior is based on voltage …