Alkaline water electrolysis powered by renewable energy: A review

J Brauns, T Turek - Processes, 2020 - mdpi.com
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 …

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

B Yang, J Wang, X Zhang, T Yu, W Yao, H Shu… - Energy Conversion and …, 2020 - Elsevier
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 …

[HTML][HTML] Extensive comparison of physical models for photovoltaic power forecasting

MJ Mayer, G Gróf - Applied Energy, 2021 - Elsevier
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 …

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 …

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

K Yu, JJ Liang, BY Qu, X Chen, H Wang - Energy Conversion and …, 2017 - Elsevier
Parameters identification of photovoltaic (PV) models based on measured current-voltage
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 …

Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm

G **ong, J Zhang, D Shi, Y He - Energy conversion and management, 2018 - Elsevier
Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. In this paper, an improved whale …

An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models

S Li, Q Gu, W Gong, B Ning - Energy Conversion and Management, 2020 - Elsevier
Parameter extraction of photovoltaic models based on measured current-voltage data plays
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

S Li, W Gong, Q Gu - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
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 …

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 …