Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
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 …
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 …
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 …
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer …
Y Yuan, X Mu, X Shao, J Ren, Y Zhao, Z Wang - Applied Soft Computing, 2022 - Elsevier
Highly non-linear optimization problems are widely found in many real-world engineering
applications. To tackle these problems, a novel assisted optimization strategy, named elite …
applications. To tackle these problems, a novel assisted optimization strategy, named elite …
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
D Oliva, M Abd El Aziz, AE Hassanien - Applied energy, 2017 - Elsevier
The using of solar energy has been increased since it is a clean source of energy. In this
way, the design of photovoltaic cells has attracted the attention of researchers over the …
way, the design of photovoltaic cells has attracted the attention of researchers over the …
Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
S Jiao, G Chong, C Huang, H Hu, M Wang, AA Heidari… - Energy, 2020 - Elsevier
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 …
Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm
Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. In this paper, an improved whale …
multivariable strongly coupled optimization problem. In this paper, an improved whale …
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 …
An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models
Parameter extraction of photovoltaic models based on measured current-voltage data plays
an important role in the simulation, control, and optimization of photovoltaic systems …
an important role in the simulation, control, and optimization of photovoltaic systems …