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 …

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 …

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 …

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 …

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 …

Modified salp swarm optimization for parameter estimation of solar PV models

M Yaghoubi, M Eslami, M Noroozi, H Mohammadi… - Ieee …, 2022 - ieeexplore.ieee.org
The identification of parameters in solar cell models is still a major challenge in photovoltaic
(PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability …

Parameter extraction of photovoltaic module using tunicate swarm algorithm

A Sharma, A Dasgotra, SK Tiwari, A Sharma, V Jately… - Electronics, 2021 - mdpi.com
In the renewable energy sector, the extraction of parameters for solar photovoltaic (PV) cells
is a widely studied area of research. Parameter extraction is a non-linear complex …

Parameter estimation of photovoltaic model via parallel particle swarm optimization algorithm

J Ma, KL Man, SU Guan, TO Ting… - International journal of …, 2016 - Wiley Online Library
Recently, bio‐inspired metaheuristic algorithms have been widely used as powerful
optimization tools to estimate crucial parameters of photovoltaic (PV) models. However, the …

An improved particle swarm optimization with chaotic inertia weight and acceleration coefficients for optimal extraction of PV models parameters

AT Kiani, MF Nadeem, A Ahmed, IA Khan… - Energies, 2021 - mdpi.com
The efficiency of PV systems can be improved by accurate estimation of PV parameters.
Parameter estimation of PV cells and modules is a challenging task as it requires accurate …

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 …