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 …

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 …

Multiswarm spiral leader particle swarm optimisation algorithm for PV parameter identification

HGG Nunes, PNC Silva, JAN Pombo, S Mariano… - Energy Conversion and …, 2020 - Elsevier
The ambition for more photovoltaic (PV) systems, the concern for optimal utilisation, and the
uncertainty associated with its energy production have led to an accelerated research in the …

Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation

M Qaraad, S Amjad, NK Hussein, MA Farag… - Expert Systems with …, 2024 - Elsevier
Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …

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 …

Collaborative swarm intelligence to estimate PV parameters

HGG Nunes, JAN Pombo, PMR Bento… - Energy Conversion and …, 2019 - Elsevier
To properly evaluate, control and optimize photovoltaic (PV) systems, it is crucial to
accurately estimate the equivalent electric circuit parameters from the respective …

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 …

Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models

G Xiong, J Zhang, D Shi, L Zhu, X Yuan… - Energy Conversion and …, 2020 - Elsevier
Extracting accurate and reliable values for involved unknown parameters of solar
photovoltaic (PV) cells/modules is considerably significant to the characteristic analysis, fault …

[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 …

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 …