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A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models
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 …
researchers to accurately model their characteristics. The behavior of PV cells can be …
Advances in teaching–learning-based optimization algorithm: A comprehensive survey (ICIC2022)
Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching–
learning process in a classroom, is one of population-based heuristic stochastic swarm …
learning process in a classroom, is one of population-based heuristic stochastic swarm …
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 …
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
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 …
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …
Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
Accurate estimation of critical parameters of the photovoltaic models is a highly demanding
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
task in modeling and simulating the photovoltaic systems. In this research, a diversification …
L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance
The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …
unknown parameters in PV models, such as photo-generated current, diode current, and …
[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …
The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …
estimating the parameters based on its current—voltage relationships. However, due to the …
Coronavirus mask protection algorithm: A new bio-inspired optimization algorithm and its applications
Nowadays, meta-heuristic algorithms are attracting widespread interest in solving high-
dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired …
dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired …
Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
Extracting parameters and constructing high-precision models of photovoltaic modules
through actual current-voltage data is required for simulation, control, and optimization of a …
through actual current-voltage data is required for simulation, control, and optimization of a …
Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation
Parameters estimation of photovoltaic (PV) model based on experimental data plays an
important role in the simulation, evaluation, control, and optimization of PV systems. In the …
important role in the simulation, evaluation, control, and optimization of PV systems. In the …