Alkaline water electrolysis powered by renewable energy: A review
Alkaline water electrolysis is a key technology for large-scale hydrogen production powered
by renewable energy. As conventional electrolyzers are designed for operation at fixed …
by renewable energy. As conventional electrolyzers are designed for operation at fixed …
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 …
[HTML][HTML] Extensive comparison of physical models for photovoltaic power forecasting
Forecasting the power production of grid-connected photovoltaic (PV) power plants is
essential for both the profitability and the prospects of the technology. Physically inspired …
essential for both the profitability and the prospects of the technology. Physically inspired …
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 …
Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
characteristic curves is significant for the simulation, evaluation, and control of PV systems …
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 …
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 …
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 …
Parameter estimation of solar photovoltaic (PV) cells: A review
AR Jordehi - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
The contribution of solar photovoltaics (PV׳ s) in generation of electric power is continually
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …